| 1. |
- Parasassi, T., et al.
(författare)
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Differentiation of normal and cancer cells induced by sulfhydryl reduction : biochemical and molecular mechanisms
- 2005
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Ingår i: Cell Death and Differentiation. - : Springer Science and Business Media LLC. - 1350-9047 .- 1476-5403. ; 12:10, s. 1285-1296
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Tidskriftsartikel (refereegranskat)abstract
- We examined the morphological, biochemical and molecular outcome of a nonspecific sulfhydryl reduction in cells, obtained by supplementation of N-acetyl-L-cysteine (NAC) in a 0.1-10 mM concentration range. In human normal primary keratinocytes and in colon and ovary carcinoma cells we obtained evidences for: (i) a dose-dependent inhibition of proliferation without toxicity or apoptosis; (ii) a transition from a proliferative mesenchymal morphology to cell-specific differentiated structures; (iii) a noticeable increase in cell-cell and cell-substratum junctions; (iv) a relocation of the oncogenic beta-catenin at the cell-cell junctions; (v) inhibition of microtubules aggregation; (vi) upregulation of differentiation-related genes including p53, heat shock protein 27 gene, N-myc downstream-regulated gene 1, E-cadherin, and down-regulation of cyclooxygenase-2; (vii) inhibition of c-Src tyrosine kinase. In conclusion, a thiol reduction devoid of toxicity as that operated by NAC apparently leads to terminal differentiation of normal and cancer cells through a pleiade of converging mechanisms, many of which are targets of the recently developed differentiation therapy.
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| 2. |
- Uhlén, Mathias, et al.
(författare)
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A human protein atlas for normal and cancer tissues based on antibody proteomics
- 2005
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Ingår i: Molecular & Cellular Proteomics. - 1535-9476 .- 1535-9484. ; 4:12, s. 1920-1932
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Tidskriftsartikel (refereegranskat)abstract
- Antibody-based proteomics provides a powerful approach for the functional study of the human proteome involving the systematic generation of protein-specific affinity reagents. We used this strategy to construct a comprehensive, antibody-based protein atlas for expression and localization profiles in 48 normal human tissues and 20 different cancers. Here we report a new publicly available database containing, in the first version, similar to 400,000 high resolution images corresponding to more than 700 antibodies toward human proteins. Each image has been annotated by a certified pathologist to provide a knowledge base for functional studies and to allow queries about protein profiles in normal and disease tissues. Our results suggest it should be possible to extend this analysis to the majority of all human proteins thus providing a valuable tool for medical and biological research.
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| 3. |
- Westberg, Joakim, et al.
(författare)
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The genome sequence of Mycoplasma mycoides subsp mycoides SC type strain PG1(T), the causative agent of contagious bovine pleuropneumonia (CBPP)
- 2004
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Ingår i: Genome Research. - : Cold Spring Harbor Laboratory. - 1088-9051 .- 1549-5469. ; 14:2, s. 221-227
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Tidskriftsartikel (refereegranskat)abstract
- Mycoplasma mycoides subsp. mycoidesSC (MmymySC) is the etiological agent of contagious bovine pleuropneumonia (CBPP), a highly contagious respiratory disease in cattle. The genome of Mmymy SC type strain PUT has been sequenced to map all the genes and to facilitate further studies regarding the cell function of the organism and CBPP. The genome is characterized by a single circular chromosome of 1,211,703 bp with the lowest G+C content (24 mole%) and the highest density of insertion sequences (13% of the genome size) of all sequenced bacterial genomes. The genome contains 985 putative genes, of which 72 are part of insertion sequences and encode transposases. Anomalies in the GC-skew pattern and the presence of large repetitive sequences indicate a high genomic plasticity. A variety of potential virulence factors was identified, including genes encoding putative variable surface proteins and enzymes and transport proteins responsible for the production of hydrogen peroxide and the capsule, which is believed to have toxic effects on the animal.
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| 4. |
- Acero Sanchez, Josep Ll., et al.
(författare)
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Electrochemical Genetic Profiling of Single Cancer Cells
- 2017
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Ingår i: Analytical Chemistry. - : American Chemical Society (ACS). - 0003-2700 .- 1520-6882. ; 89:6, s. 3378-3385
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Tidskriftsartikel (refereegranskat)abstract
- Recent understandings in the development and spread of cancer have led to the realization of novel single cell analysis platforms focused on circulating tumor cells (CTCs). A simple, rapid, and inexpensive analytical platform capable of providing genetic information on these rare cells is highly desirable to support clinicians and researchers alike to either support the selection or adjustment of therapy or provide fundamental insights into cell function and cancer progression mechanisms. We report on the genetic profiling of single cancer cells, exploiting a combination of multiplex ligation-dependent probe amplification (MLPA) and electrochemical detection. Cells were isolated using laser capture and lysed, and the mRNA was extracted and transcribed into DNA. Seven markers were amplified by MLPA, which allows for the simultaneous amplification of multiple targets with a single primer pair, using MLPA probes containing unique barcode sequences. Capture probes complementary to each of these barcode sequences were immobilized on a printed circuit board (PCB) manufactured electrode array and exposed to single-stranded MLPA products and subsequently to a single stranded DNA reporter probe bearing a HRP molecule, followed by substrate addition and fast electrochemical pulse amperometric detection. We present asimple, rapid, flexible, and inexpensive approach for the simultaneous quantification of multiple breast cancer related mRNA markers, with single tumor cell sensitivity.
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| 5. |
- Agaton, C., et al.
(författare)
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Affinity proteomics for systematic protein profiling of chromosome 21 gene products in human tissues
- 2003
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Ingår i: Molecular & Cellular Proteomics. - 1535-9476 .- 1535-9484. ; 2, s. 405-
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Tidskriftsartikel (refereegranskat)abstract
- Here we show that an affinity proteomics strategy using affinity-purified antibodies raised against recombinant human protein fragments can be used for chromosome-wide protein profiling. The approach is based on affinity reagents raised toward bioinformatics-designed protein epitope signature tags corresponding to unique regions of individual gene loci. The genes of human chromosome 21 identified by the genome efforts were investigated, and the success rates for de novo cloning, protein production, and antibody generation were 85, 76, and 56%, respectively. Using human tissue arrays, a systematic profiling of protein expression and subcellular localization was undertaken for the putative gene products. The results suggest that this affinity proteomics strategy can be used to produce a proteome atlas, describing distribution and expression of proteins in normal tissues as well as in common cancers and other forms of diseased tissues.
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| 6. |
- Agaton, Charlotta, et al.
(författare)
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Gene expression analysis by signature pyrosequencing
- 2002
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Ingår i: Gene. - 0378-1119 .- 1879-0038. ; 289:1-2, s. 31-39
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Tidskriftsartikel (refereegranskat)abstract
- We describe a novel method for transcript profiling based on high-throughput parallel sequencing of signature tags using a non-gel-based microtiter plate format. The method relies on the identification of cDNA clones by pyrosequencing of the region corresponding to the 3'-end of the mRNA preceding the poly(A) tail. Simultaneously, the method can be used for gene discovery, since tags corresponding to unknown genes can be further characterized by extended sequencing. The protocol was validated using a model system for human atherosclerosis. Two 3'-tagged cDNA libraries, representing macrophages and foam cells, which are key components in the development of atherosclerotic plaques, were constructed using a solid phase approach. The libraries were analyzed by pyrosequencing, giving on average 25 bases. As a control, conventional expressed sequence tag (EST) sequencing using slab gel electrophoresis was performed. Homology searches were used to identify the genes corresponding to each tag. Comparisons with EST sequencing showed identical, unique matches in the majority of cases when the pyrosignature was at least 18 bases. A visualization tool was developed to facilitate differential analysis using a virtual chip format. The analysis resulted in identification of genes with possible relevance for development of atherosclerosis. The use of the method for automated massive parallel signature sequencing is discussed.
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| 7. |
- Ahmadian, Afshin, et al.
(författare)
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A brief history of genetic variation analysis
- 2002
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Ingår i: BioTechniques. - 0736-6205 .- 1940-9818. ; 32:5, s. 1122-
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Forskningsöversikt (refereegranskat)abstract
- As the human genome sequence is determined, there is an emerging need for the analysis of human sequence variations as genetic markers in diagnosis, linkage and association studies, cancer research, and pharmacogenomics. There are several different techniques and approaches for detecting these genetic variations, and here we review some of these techniques and their application fields. However, all the techniques have advantages and disadvantages, and factors such as laboratory instrumentation, personnel experience, required accuracy, required throughput, and cost often have to be taken into account before selecting a method.
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| 8. |
- Ahmadian, Afshin, et al.
(författare)
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Analysis of the p53 tumor suppressor gene by pyrosequencing
- 2000
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Ingår i: BioTechniques. - : Future Science Ltd. - 0736-6205 .- 1940-9818. ; 28:1, s. 140-
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Tidskriftsartikel (refereegranskat)abstract
- Tumor suppressor genes are implicated in cell cycle progression. Inactivation of these genes predominantly occurs through mutations and/or allelic loss that involves both alleles. With inactivation by multiple mutations in a single gene, cloning of the amplified gene is necessary to determine whether the mutations reside on one ol both alleles. Using pyrosequencing, a recently developed approach based on sequencing-by-synthesis, we studied genetic variability in the p53 tumor suppressor gene and could quantify the ratio between the mutated and wild-type amplified fragments. Further-more, this sequencing technique also allows allelic determination of adjacent mutations with no cloning of amplified fragments.
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| 9. |
- Ahmadian, Afshin, et al.
(författare)
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Genetic instability in the 9q22.3 region is a late event in the development of squamous cell carcinoma.
- 1998
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Ingår i: Oncogene. - : Springer Science and Business Media LLC. - 0950-9232 .- 1476-5594. ; 17:14
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Tidskriftsartikel (refereegranskat)abstract
- Squamous cell carcinoma (SCC) of the skin represents a group of neoplasms which is associated with exposure to UV light. Recently, we obtained data suggesting that invasive skin cancer and its precursors derive from one original neoplastic clone. Here, the analysis were extended by loss of heterozygosity (LOH) analysis in the chromosome 9q22.3 region. A total of 85 samples, taken from twenty-two sections of sun-exposed sites, corresponding to normal epidermis, morphological normal cells with positive immuno-staining for the p53 protein (p53 patches), dysplasias, cancer in situ (CIS) and squamous cell carcinomas (SCC) of the skin were analysed. Overall, about 70% of p53 patches had mutations in the p53 gene but not LOH in the p53 gene or 9q22.3 region. Approximately 70% of the dysplasias showed p53 mutations of which about 40% had LOH in the p53 region but not in the 9q22.3 region. In contrast, about 65% of SCC and CIS displayed LOH in the 9q22.3 region, as well as frequent (80%) mutations and/or LOH in the p53 gene. These findings strongly suggest that alterations in the p53 gene is an early event in the progression towards SCC, whereas malignant development involves LOH and alterations in at least one (or several) tumor suppressor genes located in chromosome 9q22.3.
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| 10. |
- Ahmadian, Afshin, et al.
(författare)
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Genotyping by apyrase-mediated allele-specific extension
- 2001
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Ingår i: Nucleic Acids Research. - : Oxford University Press (OUP). - 0305-1048 .- 1362-4962. ; 29:24
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Tidskriftsartikel (refereegranskat)abstract
- This report describes a single-step extension approach suitable for high-throughput single-nucleotide polymorphism typing applications. The method relies on extension of paired allele-specific primers and we demonstrate that the reaction kinetics were slower for mismatched configurations compared with matched configurations. In our approach we employ apyrase, a nucleotide degrading enzyme, to allow accurate discrimination between matched and mismatched primer-template configurations. This apyrase-mediated allele-specific extension (AMASE) protocol allows incorporation of nucleotides when the reaction kinetics are fast (matched 3'-end primer) but degrades the nucleotides before extension when the reaction kinetics are slow (mismatched 3'-end primer). Thus, AMASE circumvents the major limitation of previous allele-specific extension assays in which slow reaction kinetics will still give rise to extension products from mismatched 3'-end primers, hindering proper discrimination. It thus represents a significant improvement of the allele-extension method. AMASE was evaluated by a bioluminometric assay in which successful incorporation of unmodified nucleotides is monitored in real-time using an enzymatic cascade.
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| 11. |
- Ahmadian, Afshin, et al.
(författare)
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Method for amplification
- 2005
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Patent (populärvet., debatt m.m.)abstract
- The invention refers to a method for multiplex amplification of at least one specific nucleic acid locus, comprising the steps of: providing at least one oligonucleotide probe pair that is designed so that the first and second probe of the pair anneal to a specific nucleic acid locus on a target molecule, in which pair the first probe has an extendable 3'-end, and a second probe has a 5'-end that is directly or indirectly labelled with a phosphate group; providing a target molecule comprising at least one specific nucleic acid locus; allowing the probe pair to anneal to the target molecule; allowing the 3'-end of the first probe to extend by influence of polymerase by adding a set of three different dNTPs; ligating the 3'-end of the extended first probe to the 5'-end of the second probe. Hereby, a method is provided which allows a high specificity for simultaneous amplification of several loci. Further, the invention involves a kit for use in the method of the invention.
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| 12. |
- Ahmadian, Afshin, et al.
(författare)
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Single-nucleotide polymorphism analysis by pyrosequencing
- 2000
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Ingår i: Analytical Biochemistry. - : Elsevier BV. - 0003-2697 .- 1096-0309. ; 280:1, s. 103-110
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Tidskriftsartikel (refereegranskat)abstract
- There is a growing demand for high-throughput methods for analysis of single-nucleotide polymorphic (SNP) positions. Here, we have evaluated a novel sequencing approach, pyrosequencing, for such purposes. Pyrosequencing is a sequencing-by-synthesis method in which a cascade of enzymatic reactions yields detectable light, which is proportional to incorporated nucleotides. One feature of typing SNPs with pyrosequencing is that each allelic variant will give a unique sequence compared to the two other variants. These variants can easily be distinguished by a pattern recognition software. The software displays the allelic: alternatives and allows for direct comparison with the pyrosequencing raw data. For optimal determination of SNPs, various protocols of nucleotide dispensing order were investigated. Here, we demonstrate that typing of SNPs can efficiently be performed by pyrosequencing using an automated system for parallel analysis of 96 samples in approximately 5 min, suitable for large-scale screening and typing of SNPs.
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| 13. |
- Akan, Pelin, et al.
(författare)
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Comprehensive analysis of the genome transcriptome and proteome landscapes of three tumor cell lines
- 2012
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Ingår i: Genome Medicine. - : Springer Science and Business Media LLC. - 1756-994X. ; 4, s. 86-
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Tidskriftsartikel (refereegranskat)abstract
- We here present a comparative genome, transcriptome and functional network analysis of three human cancer cell lines (A431, U251MG and U2OS), and investigate their relation to protein expression. Gene copy numbers significantly influenced corresponding transcript levels; their effect on protein levels was less pronounced. We focused on genes with altered mRNA and/or protein levels to identify those active in tumor maintenance. We provide comprehensive information for the three genomes and demonstrate the advantage of integrative analysis for identifying tumor-related genes amidst numerous background mutations by relating genomic variation to expression/protein abundance data and use gene networks to reveal implicated pathways.
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| 14. |
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| 15. |
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| 16. |
- Alexeyenko, Andrey, et al.
(författare)
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Efficient de novo assembly of large and complex genomes by massively parallel sequencing of Fosmid pools
- 2014
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Ingår i: BMC Genomics. - : Springer Science and Business Media LLC. - 1471-2164. ; 15, s. 439-
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Tidskriftsartikel (refereegranskat)abstract
- Background: Sampling genomes with Fosmid vectors and sequencing of pooled Fosmid libraries on the Illumina platform for massive parallel sequencing is a novel and promising approach to optimizing the trade-off between sequencing costs and assembly quality. Results: In order to sequence the genome of Norway spruce, which is of great size and complexity, we developed and applied a new technology based on the massive production, sequencing, and assembly of Fosmid pools (FP). The spruce chromosomes were sampled with similar to 40,000 bp Fosmid inserts to obtain around two-fold genome coverage, in parallel with traditional whole genome shotgun sequencing (WGS) of haploid and diploid genomes. Compared to the WGS results, the contiguity and quality of the FP assemblies were high, and they allowed us to fill WGS gaps resulting from repeats, low coverage, and allelic differences. The FP contig sets were further merged with WGS data using a novel software package GAM-NGS. Conclusions: By exploiting FP technology, the first published assembly of a conifer genome was sequenced entirely with massively parallel sequencing. Here we provide a comprehensive report on the different features of the approach and the optimization of the process. We have made public the input data (FASTQ format) for the set of pools used in this study: ftp://congenie.org/congenie/Nystedt_2013/Assembly/ProcessedData/FosmidPools/.(alternatively accessible via http://congenie.org/downloads).The software used for running the assembly process is available at http://research.scilifelab.se/andrej_alexeyenko/downloads/fpools/.
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| 17. |
- Ameur, Adam, et al.
(författare)
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SweGen : a whole-genome data resource of genetic variability in a cross-section of the Swedish population
- 2017
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Ingår i: European Journal of Human Genetics. - : NATURE PUBLISHING GROUP. - 1018-4813 .- 1476-5438. ; 25:11, s. 1253-1260
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Tidskriftsartikel (refereegranskat)abstract
- Here we describe the SweGen data set, a comprehensive map of genetic variation in the Swedish population. These data represent a basic resource for clinical genetics laboratories as well as for sequencing-based association studies by providing information on genetic variant frequencies in a cohort that is well matched to national patient cohorts. To select samples for this study, we first examined the genetic structure of the Swedish population using high-density SNP-array data from a nation-wide cohort of over 10 000 Swedish-born individuals included in the Swedish Twin Registry. A total of 1000 individuals, reflecting a cross-section of the population and capturing the main genetic structure, were selected for whole-genome sequencing. Analysis pipelines were developed for automated alignment, variant calling and quality control of the sequencing data. This resulted in a genome-wide collection of aggregated variant frequencies in the Swedish population that we have made available to the scientific community through the website https://swefreq.nbis.se. A total of 29.2 million single-nucleotide variants and 3.8 million indels were detected in the 1000 samples, with 9.9 million of these variants not present in current databases. Each sample contributed with an average of 7199 individual-specific variants. In addition, an average of 8645 larger structural variants (SVs) were detected per individual, and we demonstrate that the population frequencies of these SVs can be used for efficient filtering analyses. Finally, our results show that the genetic diversity within Sweden is substantial compared with the diversity among continental European populations, underscoring the relevance of establishing a local reference data set.
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| 18. |
- Andersson, Anders, et al.
(författare)
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A transcriptional timetable of autumn senescence
- 2004
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Ingår i: Genome Biology. - : Springer Science and Business Media LLC. - 1465-6906 .- 1474-760X. ; 5:4, s. R24-
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Tidskriftsartikel (refereegranskat)abstract
- Background We have developed genomic tools to allow the genus Populus (aspens and cottonwoods) to be exploited as a full-featured model for investigating fundamental aspects of tree biology. We have undertaken large-scale expressed sequence tag (EST) sequencing programs and created Populus microarrays with significant gene coverage. One of the important aspects of plant biology that cannot be studied in annual plants is the gene activity involved in the induction of autumn leaf senescence. Results On the basis of 36,354 Populus ESTs, obtained from seven cDNA libraries, we have created a DNA microarray consisting of 13,490 clones, spotted in duplicate. Of these clones, 12,376 (92%) were confirmed by resequencing and all sequences were annotated and functionally classified. Here we have used the microarray to study transcript abundance in leaves of a free-growing aspen tree (Populus tremula) in northern Sweden during natural autumn senescence. Of the 13,490 spotted clones, 3,792 represented genes with significant expression in all leaf samples from the seven studied dates. Conclusions We observed a major shift in gene expression, coinciding with massive chlorophyll degradation, that reflected a shift from photosynthetic competence to energy generation by mitochondrial respiration, oxidation of fatty acids and nutrient mobilization. Autumn senescence had much in common with senescence in annual plants; for example many proteases were induced. We also found evidence for increased transcriptional activity before the appearance of visible signs of senescence, presumably preparing the leaf for degradation of its components.
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| 19. |
- Andersson, Alma, 1995-
(författare)
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Computational methods for analysis of spatial transcriptomics data : An exploration of the spatial gene expression landscape
- 2022
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Transcriptomics techniques, whether in the form of bulk, single cell/nuclei, or spatial methods have fueled a substantial expansion of our knowledge about the biological systems within and around us. In addition, the rate of innovation has accelerated over the last decade, resulting in a multitude of technological advances and new methods for generation of transcriptomics data. In 2009, isolating and characterizing the transcriptome of a single cell was seen as a major achievement, ten years later, in 2019, studies surveying a hundred thousand cells were commonplace. The field of spatial transcriptomics went through an equally transformative phase; from struggling with simultaneous characterization of a few targets, to seamlessly provide spatially resolved maps of the full transcriptome. Inevitably, we’re approaching an inflection point where the generation of data is no longer the bottleneck, but rather its analysis. Alas, with standardized commercial products, high-quality spatial transcriptomics data can now be generated en masse. Hence, questions about data analysis have started to replace those of data generation. The work in this thesis seeks to address some of these emerging questions; the five articles it encompasses presents new methods for analysis of spatial transcriptomics data and examples of their application. Furthermore, it contains an introduction to current experimental and computational spatial transcriptomics techniques, as well as a section about data modeling. In Article I, a probabilistic model for integration of single cell/nuclei and spatial transcriptomics data is presented. In short, the method allows for mixed signals – present in certain spatial transcriptomics platforms – to be decomposed into contributions from biologically relevant cell types or states derived from single cell/nuclei data. The model was implemented in code as a software, stereoscope, which is open source and publicly available. The same policy of open source and high transparency holds true for all software or code associated with this thesis. The stereoscope method has been used in several studies, one example being Article II, where we examined the spatial transcriptomics landscape of HER2-positive breast cancer patients. By integrating single cell and spatial transcriptomics data, several intriguing co-localization signals emerged. These signals allowed us to identify a signature for tertiary lymphoid structures and evidence of a trifold interaction involving: type I interferon signals, a T-cell subset, and a macrophage subset. However, the work also included other forms of explorative data analysis, such as unsupervised expression-based clustering. The clusters from this analysis, once annotated, exhibited high concordance with annotations provided by a pathologist and the tissue morphology. Taken together, this makes a compelling case for the use of spatial transcriptomics in the age of “digital pathology.” Finally, we also derived “core signatures” from the expression-based clusters, representing common expression profiles shared across the patients.In Article III, we present a computational method, sepal, designed to identify genes with distinct spatial patterns, often referred to as “spatially variable genes.” The method uses Fick’s second law to simulate diffusion of transcripts in the tissue, measuring the time until convergence (a spatially uniform and homogeneous state). It then ranks the genes by their “diffusion time.” The assumption being that genes exhibiting strong spatial patterns will take longer time to converge compared to genes with no pattern, thus relating the diffusion time to the degree of spatial structure. Article IV constitutes a study of the mouse liver using spatial transcriptomics. As before, we employed stereoscope for the purpose of single cell integration, but realized more tailored computational tools – towards the specific tissue – were required to address certain questions. Thus, we developed two computational methods, one devoted to vein type identity prediction, the other enabling a change of data representation. In essence, to predict the vein identities, we first assembled spatially weighted composite expression profiles from – to the vein – neighboring observations. Then, a logistic classifier was trained using the composite profiles. Once the model was trained, it could be used to assign vein type identities to ambiguous or unannotated veins. In the second method, the two-dimensional spatial data was recast into a more informative one-dimensional representation by treating gene expression as a function of an observation’s distance to its nearest vein structure.The final work, Article V, expands the idea of recasting data into a more informative or helpful representation. More precisely, we present a method, eggplant, that allows the user to transfer spatial transcriptomics data from multiple sources to a common coordinate framework (CCF). Transfer of information to a CCF means spatial signals can be compared across conditions and time points, unlocking a plethora of valuable downstream analyses. For example, we perform spatiotemporal modeling of a synthetic system, and introduce the concept of “spatial arithmetics” to study local expression differences. With a growing corpus of spatial trancsriptomics data and ambitious international efforts like the Human Cell Atlas, we deem these sort of methods essential to leverage the data’s full potential.
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| 20. |
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| 21. |
- Andersson, Alma, et al.
(författare)
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sepal : identifying transcript profiles with spatial patterns by diffusion-based modeling
- 2021
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Ingår i: Bioinformatics. - : Oxford University Press (OUP). - 1367-4803 .- 1367-4811 .- 1460-2059. ; 37:17, s. 2644-2650
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Tidskriftsartikel (refereegranskat)abstract
- Motivation: Collection of spatial signals in large numbers has become a routine task in multiple omics-fields, but parsing of these rich datasets still pose certain challenges. In whole or near-full transcriptome spatial techniques, spurious expression profiles are intermixed with those exhibiting an organized structure. To distinguish profiles with spatial patterns from the background noise, a metric that enables quantification of spatial structure is desirable. Current methods designed for similar purposes tend to be built around a framework of statistical hypothesis testing, hence we were compelled to explore a fundamentally different strategy. Results: We propose an unexplored approach to analyze spatial transcriptomics data, simulating diffusion of individual transcripts to extract genes with spatial patterns. The method performed as expected when presented with synthetic data. When applied to real data, it identified genes with distinct spatial profiles, involved in key biological processes or characteristic for certain cell types. Compared to existing methods, ours seemed to be less informed by the genes' expression levels and showed better time performance when run with multiple cores.
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| 22. |
- Andersson, Alma, et al.
(författare)
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Single-cell and spatial transcriptomics enables probabilistic inference of cell type topography
- 2020
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Ingår i: Communications Biology. - : Nature Research. - 2399-3642. ; 3:1
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Tidskriftsartikel (refereegranskat)abstract
- The field of spatial transcriptomics is rapidly expanding, and with it the repertoire of available technologies. However, several of the transcriptome-wide spatial assays do not operate on a single cell level, but rather produce data comprised of contributions from a – potentially heterogeneous – mixture of cells. Still, these techniques are attractive to use when examining complex tissue specimens with diverse cell populations, where complete expression profiles are required to properly capture their richness. Motivated by an interest to put gene expression into context and delineate the spatial arrangement of cell types within a tissue, we here present a model-based probabilistic method that uses single cell data to deconvolve the cell mixtures in spatial data. To illustrate the capacity of our method, we use data from different experimental platforms and spatially map cell types from the mouse brain and developmental heart, which arrange as expected.
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| 23. |
- Andersson, Alma, et al.
(författare)
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Spatial deconvolution of HER2-positive breast cancer delineates tumor-associated cell type interactions
- 2021
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Ingår i: Nature Communications. - : Springer Nature. - 2041-1723. ; 12:1
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Tidskriftsartikel (refereegranskat)abstract
- In the past decades, transcriptomic studies have revolutionized cancer treatment and diagnosis. However, tumor sequencing strategies typically result in loss of spatial information, critical to understand cell interactions and their functional relevance. To address this, we investigate spatial gene expression in HER2-positive breast tumors using Spatial Transcriptomics technology. We show that expression-based clustering enables data-driven tumor annotation and assessment of intra- and interpatient heterogeneity; from which we discover shared gene signatures for immune and tumor processes. By integration with single cell data, we spatially map tumor-associated cell types to find tertiary lymphoid-like structures, and a type I interferon response overlapping with regions of T-cell and macrophage subset colocalization. We construct a predictive model to infer presence of tertiary lymphoid-like structures, applicable across tissue types and technical platforms. Taken together, we combine different data modalities to define a high resolution map of cellular interactions in tumors and provide tools generalizing across tissues and diseases. While transcriptomics have enhanced our understanding for cancer, spatial transcriptomics enable the characterisation of cellular interactions. Here, the authors integrate single cell data with spatial information for HER2 + tumours and develop tools for the prediction of interactions between tumour-infiltrating cells.
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| 24. |
- Andersson, Alma, et al.
(författare)
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Spatial Deconvolution of HER2-positive Breast Tumors Reveals Novel Intercellular Relationships
- 2020
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- In the past decades, transcriptomic studies have revolutionized cancer treatment and diagnosis. However, tumor sequencing strategies typically result in loss of spatial information, critical to understand cell interactions and their functional relevance. To address this, we investigate spatial gene expression in HER2-positive breast tumors using Spatial Transcriptomics technology. We show that expression-based clustering enables data-driven tumor annotation and assessment of intra-and interpatient heterogeneity; from which we discover shared gene signatures for immune and tumor processes. We integrate and spatially map tumor-associated types from single cell data to find: segregated epithelial cells, interactions between B and T-cells and myeloid cells, co-localization of macrophage and T-cell subsets. A model is constructed to infer presence of tertiary lymphoid structures, applicable across tissue types and technical platforms. Taken together, we combine different data modalities to define novel interactions between tumor-infiltrating cells in breast cancer and provide tools generalizing across tissues and diseases.
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| 25. |
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| 26. |
- Andersson, T., et al.
(författare)
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Monitoring of representational difference analysis subtraction procedures by global microarrays
- 2002
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Ingår i: BioTechniques. - : Future Science Ltd. - 0736-6205 .- 1940-9818. ; 32:6, s. 1348-
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Tidskriftsartikel (refereegranskat)abstract
- Various approaches to the study of differential gene expression are applied to compare cell lines and tissue samples in a wide range of biological contexts. The compromise between focusing on only the important genes in certain cellular processes and achieving a complete picture is critical for the selection of strategy. We demonstrate how global microarray technology can be used for the exploration of the differentially expressed genes extracted through representational difference analysis (RDA). The subtraction of ubiquitous gene fragments from the two samples was demonstrated using cDNA microarrays including more than 32 000 spotted, PCR-amplified human clones. Hybridizations indicated the expression of 9100 of the microarray elements in a macrophage/foam cell atherosclerosis model system, of which many were removed during the RDA process. The stepwise subtraction procedure was demonstrated to yield an efficient enrichment of gene fragments overrepresented in either sample (18% in the representations, 86% after the first subtraction, and 88% after the second subtraction), many of which were impossible to detect in the starting material. Interestingly, the method allowed for the observation of the differential expression of several members of the low-abundant nuclear receptor gene family. We also observed a certain background level in the difference products of nondifferentially expressed gene fragments, warranting a verification strategy for selected candidate genes. The differential expression of several genes was verified by real-time PCR.
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| 27. |
- Andersson, T., et al.
(författare)
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Novel candidate genes for atherosclerosis are identified by representational difference analysis-based transcript profiling of cholesterol-loaded macrophages
- 2001
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Ingår i: Pathobiology (Basel). - : S. Karger AG. - 1015-2008 .- 1423-0291. ; 69:6, s. 304-314
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: To analyze the early gene expression in macrophages accompanying the phenotypic changes into foam cells upon exposure to oxidized low-density lipoprotein. To identify candidate genes and markers for further studies into the pathogenesis of atherosclerosis. Methods: Cells of the monocytic cell line THP-1 were activated by PMA and exposed to oxidized low-density lipoprotein. Gene expression profiles were investigated after 24 h, using a solid phase cDNA representational difference analysis (RDA) method and shotgun sequencing. Results were verified by microarray hybridization, and analyzed in the virtual chip display of a novel software tool for transcript profile exploration. Results: By comparing transcript profiles of exposed/unexposed cells, 1,984 transcript sequences, representing a total of 921 genes with altered expression levels in response to oxidized low-density lipoprotein exposure, were identified. Genes that are central to cell cycle control and proliferation, inflammatory response, and of pathways not previously implicated in atherosclerosis were identified. The data obtained is also made available on-line at http:// biobase.biotech.kth.se/thp1a for further exploration. Conclusion: The identification of new candidate genes for atherosclerotic disease through RDA-based transcript profiling facilitates further functional genomic studies in coronary artery disease. Candidate genetic polymorphism markers of potential clinical relevance can be identified by filtering information in genome variation databases through the virtual chip analysis of the transcript profiles and subsequently tested in association studies.
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| 28. |
- Andersson, T., et al.
(författare)
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Shotgun sequencing and microarray analysis of RDA transcripts
- 2003
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Ingår i: Gene. - : Elsevier BV. - 0378-1119 .- 1879-0038. ; 310, s. 39-47
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Tidskriftsartikel (refereegranskat)abstract
- Monitoring of differential gene expression is an important step towards understanding of gene function. We describe a comparison of the representational difference analysis (RDA) subtraction process with corresponding microarray analysis. The subtraction steps are followed in a quantitative manner using a shotgun cloning and sequencing procedure that includes over 1900 gene sequences. In parallel, the enriched transcripts are spotted onto microarrays facilitating large scale hybridization analysis of the representations and the difference products. We show by the shotgun procedure that there is a high diversity of gene fragments represented in the iterative RDA products (92-67% singletons) with a low number of shared sequences (<9%) between subsequent subtraction cycles. A non redundant set of 1141 RDA clones were immobilized on glass slides and the majority of these clones (97%) gave repeated good fluorescent signals in a subsequent hybridization of the labelled and amplified original cDNA. We observed only a low number of false positives (<2%) and a more than twofold differential expression for 32% (363) of the immobilized RDA clones. In conclusion, we show that by random sequencing of the difference products we obtained an accurate transcript profile of the individual steps and that large-scale confirmation of the obtained transcripts can be achieved by microarray analysis.
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| 29. |
- Andrusivova, Zaneta
(författare)
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Development and application of spatial transcriptomics methods
- 2023
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Transcriptomics is one of the pivotal fields in molecular biology, enabling comprehensive analysis of gene expression patterns. Recent advancements in the biotechnology field have transformed the transcriptomics research, providing insights into the complexity of cellular processes in a greater detail. However, conventional transcriptomics methods such as bulk RNA sequencing or single-cell RNA sequencing rely on tissue dissociation and therefore lack spatial information, which limits our understanding of gene expression patterns within the tissue structures. The development of spatially resolved transcriptomics methods has revolutionized the study of transcriptomes, enabling analysis of gene expression patterns in the spatial context. The wide range of available transcriptomics technologies offer various levels of resolution and throughput, and combination of multiple techniques can be beneficial for studying biological systems and gain deeper understanding of their molecular processes. In this thesis, particular emphasis is given to the Visium spatial gene expression technology, which has gain widespread popularity in the research community over the recent years. In the article I, we expand the application of the Visium platform to fresh-frozen samples of lower RNA quality or otherwise challenging characteristics. To achieve this, we introduce specific modifications to the commercially available protocol and test its effectiveness across different tissue types of varying RNA quality, including pediatric brain tumors, human small intestine, and mouse bone and cartilage. By conducting comparative analysis, we demonstrate that the new protocol outperforms the standard Visium protocol when working with samples of moderate and lower RNA quality.Article II introduces a novel method that enhances the resolution of the Visium gene expression method through tissue expansion. We showcase the implementation of this new protocol on two regions of mouse brain, olfactory bulb and hippocampus. We demonstrate the ability of this approach to study smaller tissue structures that were previously beyond the resolution capabilities of the Visium platform.In the article III and IV, we demonstrate the practical application of the Visium approach and its combination with other methodologies in the field of developmental biology. We show how utilizing spatial transcriptomics methods help elucidate the spatial organization of cell types and cell states during organogenesis in the developing human spinal cord (article III) and developing lung tissue (article IV). By deploying single-cell RNA sequencing and spatial methods, we described the spatiotemporal gene expression profiles of various cell types as well as shared and unique events occurring during the spinal cord development in humans and rodents (article III). Applying this multimodal approach to lung tissue (article IV) allowed us to characterize novel cell states emerging during lung development and provided valuable insights into the structural organization of developing lungs. These studies highlight the findings and observations that can be gained by combining spatially resolved transcriptomics with other laboratory techniques to shed light on the spatial dynamics of cellular processes during organ development.
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| 30. |
- Angleby, Helen, et al.
(författare)
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Forensic Informativity of similar to 3000bp of Coding Sequence of Domestic Dog mtDNA
- 2014
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Ingår i: Journal of Forensic Sciences. - : Wiley. - 0022-1198 .- 1556-4029. ; 59:4, s. 898-908
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Tidskriftsartikel (refereegranskat)abstract
- The discriminatory power of the noncoding control region (CR) of domestic dog mitochondrial DNA alone is relatively low. The extent to which the discriminatory power could be increased by analyzing additional highly variable coding regions of the mitochondrial genome (mtGenome) was therefore investigated. Genetic variability across the mtGenome was evaluated by phylogenetic analysis, and the three most variable similar to 1kb coding regions identified. We then sampled 100 Swedish dogs to represent breeds in accordance with their frequency in the Swedish population. A previously published dataset of 59 dog mtGenomes collected in the United States was also analyzed. Inclusion of the three coding regions increased the exclusion capacity considerably for the Swedish sample, from 0.920 for the CR alone to 0.964 for all four regions. The number of mtDNA types among all 159 dogs increased from 41 to 72, the four most frequent CR haplotypes being resolved into 22 different haplotypes.
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| 31. |
- Apostolova, Galina, et al.
(författare)
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Neurotransmitter phenotype-specific expression changes in developing sympathetic neurons
- 2007
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Ingår i: Molecular and Cellular Neuroscience. - : Elsevier BV. - 1044-7431 .- 1095-9327. ; 35:3, s. 397-408
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Tidskriftsartikel (refereegranskat)abstract
- During late developmental phases individual sympathetic neurons undergo a switch from noradrenergic to cholinergic neurotransmission. This phenomenon of plasticity depends on target-derived signals in vivo and is triggered by neurotrophic factors in neuronal cultures. To analyze genome-wide expression differences between the two transmitter phenotypes we employed DNA microarrays. RNA expression profiles were obtained from chick paravertebral sympathetic ganglia, treated with neurotrophin 3, glial cell line-derived neurotrophic factor or ciliary neurotrophic factor, all of which stimulate cholinergic differentiation. Results were compared with the effect of nerve growth factor, which functions as a pro-noradrenergic stimulus. The gene set common to all three comparisons defined the noradrenergic and cholinergic synexpression groups. Several functional categories, such as signal transduction, G-protein-coupled signaling, cation transport, neurogenesis and synaptic transmission, were enriched in these groups. Experiments based on the prediction that some of the identified genes play a role in the neurotransmitter switch identified bone morphogenetic protein signaling as an inhibitor of cholinergic differentiation.
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| 32. |
- Araújo, Ana Catarina, et al.
(författare)
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Activated Paper Surfaces for the Rapid Hybridization of DNA through Capillary Transport
- 2012
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Ingår i: Analytical Chemistry. - : American Chemical Society (ACS). - 0003-2700 .- 1520-6882. ; 84:7, s. 3311-3317
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Tidskriftsartikel (refereegranskat)abstract
- The development of low-cost, accurate, and equipment-free diagnostic tests is crucial to many clinical, laboratory, and field applications, including forensics and medical diagnostics. Cellulose fiber-based paper is an inexpensive, biodegradable, and renewable resource, the use of which as a biomolecule detection matrix and support confers several advantages compared to traditional materials such as glass. In this context, a new, facile method for the preparation of surface functionalized papers bearing single-stranded probe DNA (ssDNA) for rapid target hybridization via capillary transport is presented. Optimized reaction conditions were developed that allowed the direct, one-step activation of standard laboratory filters by the inexpensive and readily available bifunctional linking reagent, 1,4-phenylenediisothiocyanate. Such papers were thus amenable to subsequent coupling of amine-labeled ssDNA under standard conditions widely used for glass-based supports. The intrinsic wicking ability of the paper matrix facilitated rapid sample elution through arrays of probe DNA, leading to significant, detectable hybridization in the time required for the sample liquid to transit the vertical length of the strip (less than 2 min). The broad applicability of these paper test strips as rapid and specific diagnostics in "real-life" situations was exemplified by the discrimination of amplicons generated from canine and human mitochondrial and genomic DNA in mock forensic samples.
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| 33. |
- Arvestad, Lars, et al.
(författare)
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Expressed sequence tags from the midgut and an epithelial cell line of Chironomus tentans : annotation, bioinformatic classification of unknown transcripts and analysis of expression levels
- 2005
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Ingår i: Insect molecular biology (Print). - : Wiley. - 0962-1075 .- 1365-2583. ; 14:6, s. 689-695
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Tidskriftsartikel (refereegranskat)abstract
- Expressed sequence tags (ESTs) were generated from two Chironomus tentans cDNA libraries, constructed from an embryo epithelial cell line and from larva midgut tissue. 8584 5'-end ESTs were generated and assembled into 3110 tentative unique transcripts, providing the largest contribution of C. tentans sequences to public databases to date. Annotation using BLAST gave 1975 (63.5%) transcripts with a significant match in the major gene/protein databases, 1170 with a best match to Anopheles gambiae and 480 to Drosophila melanogaster. 1091 transcripts (35.1%) had no match to any database. Studies of open reading frames suggest that at least 323 of these contain a coding sequence, indicating that a large proportion of the genes in C. tentans belong to previously unknown gene families.
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| 34. |
- Asp, Michaela, et al.
(författare)
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A Spatiotemporal Organ-Wide Gene Expression and Cell Atlas of the Developing Human Heart
- 2019
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Ingår i: Cell. - : CELL PRESS. - 0092-8674 .- 1097-4172. ; 179:7, s. 1647-
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Tidskriftsartikel (refereegranskat)abstract
- The process of cardiac morphogenesis in humans is incompletely understood. Its full characterization requires a deep exploration of the organ-wide orchestration of gene expression with a single-cell spatial resolution. Here, we present a molecular approach that reveals the comprehensive transcriptional landscape of cell types populating the embryonic heart at three developmental stages and that maps cell-type-specific gene expression to specific anatomical domains. Spatial transcriptomics identified unique gene profiles that correspond to distinct anatomical regions in each developmental stage. Human embryonic cardiac cell types identified by single-cell RNA sequencing confirmed and enriched the spatial annotation of embryonic cardiac gene expression. In situ sequencing was then used to refine these results and create a spatial subcellular map for the three developmental phases. Finally, we generated a publicly available web resource of the human developing heart to facilitate future studies on human cardiogenesis.
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| 35. |
- Asp, Michaela, et al.
(författare)
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An organ‐wide gene expression atlas of the developing human heart
-
Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- The human developing heart holds a greater proportion of stem-cell-like cells than the adult heart. However, it is not completely understood how these stem cells differentiate into various cardiac cell types. We have performed an organ-wide transcriptional landscape analysis of the developing heart to advance our understanding of cardiac morphogenesis in humans. Comprehensive spatial gene expression analyses identified distinct profiles that correspond not only to individual chamber compartments, but also distinctive regions within the outflow tract. Furthermore, the generated spatial expression reference maps facilitated the assignment of 3,787 human embryonic cardiac cells obtained from single-cell RNA-sequencing to an in situlocation. Through this approach we reveal that the outflow tract contains a wider range of cell types than the chambers, and that the epicardium expression profile can be traced to several cell types that are activated at different stages of development. We also provide a 3D spatial model of human embryonic cardiac cells to enable further studies of the developing human heart.
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| 36. |
- Asp, Michaela, et al.
(författare)
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Spatial detection of fetal marker genes expressed at low level in adult human heart tissue
- 2017
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Ingår i: Scientific Reports. - : NATURE PUBLISHING GROUP. - 2045-2322. ; 7
-
Tidskriftsartikel (refereegranskat)abstract
- Heart failure is a major health problem linked to poor quality of life and high mortality rates. Hence, novel biomarkers, such as fetal marker genes with low expression levels, could potentially differentiate disease states in order to improve therapy. In many studies on heart failure, cardiac biopsies have been analyzed as uniform pieces of tissue with bulk techniques, but this homogenization approach can mask medically relevant phenotypes occurring only in isolated parts of the tissue. This study examines such spatial variations within and between regions of cardiac biopsies. In contrast to standard RNA sequencing, this approach provides a spatially resolved transcriptome- and tissue-wide perspective of the adult human heart, and enables detection of fetal marker genes expressed by minor subpopulations of cells within the tissue. Analysis of patients with heart failure, with preserved ejection fraction, demonstrated spatially divergent expression of fetal genes in cardiac biopsies.
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| 37. |
- Asp, Michaela, et al.
(författare)
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Spatial Isoform Profiling within Individual Tissue Sections
-
Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Spatial Transcriptomics has been shown to be a persuasive RNA sequencingtechnology for analyzing cellular heterogeneity within tissue sections. Thetechnology efficiently captures and barcodes 3’ tags of all polyadenylatedtranscripts from a tissue section, and thus provides a powerful platform whenperforming quantitative spatial gene expression studies. However, the currentprotocol does not recover the full-length information of transcripts, andconsequently lack information regarding alternative splice variants. Here, weintroduce a novel protocol for spatial isoform profiling, using SpatialTranscriptomics barcoded arrays.
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| 38. |
- Asp, Michaela
(författare)
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Spatially Resolved Gene Expression Analysis
- 2018
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Spatially resolved transcriptomics has greatly expanded our knowledge of complex multicellular biological systems. To date, several technologies have been developed that combine gene expression data with information about its spatial tissue context. There is as yet no single spatial method superior to all others, and the existing methods have jointly contributed to progress in this field of technology. Some challenges presented by existing protocols include having a limited number of targets, being labor extensive, being tissue-type dependent and having low throughput or limited resolution. Within the scope of this thesis, many aspects of these challenges have been taken into consideration, resulting in a detailed evaluation of a recently developed spatial transcriptome-wide method. This method, termed Spatial Transcriptomics (ST), enables the spatial location of gene activity to be preserved and visually links it to its histological position and anatomical context. Paper I describes all the details of the experimental protocol, which starts when intact tissue sections are placed on barcoded microarrays and finishes with high throughput sequencing. Here, spatially resolved transcriptome-wide data are obtained from both mouse olfactory bulb and breast cancer samples, demonstrating the broad tissue applicability and robustness of the approach. In Paper II, the ST technology is applied to samples of human adult heart, a tissue type that contains large proportions of fibrous tissue and thus makes RNA extraction substantially more challenging. New protocol strategies are optimized in order to generate spatially resolved transcriptome data from heart failure patients. This demonstrates the advantage of using the technology for the identification of lowly expressed biomarkers that have previously been seen to correlate with disease progression in patients suffering heart failure. Paper III shows that, although the ST technology has limited resolution compared to other techniques, it can be combined with single-cell RNA-sequencing and hence allow the spatial positions of individual cells to be recovered. The combined approach is applied to developing human heart tissue and reveals cellular heterogeneity of distinct compartments within the complete organ. Since the ST technology is based on the sequencing of mRNA tags, Paper IV describes a new version of the method, in which spatially resolved analysis of full-length transcripts is being developed. Exploring the spatial distribution of full-length transcripts in tissues enables further insights into alternative splicing and fusion transcripts and possible discoveries of new genes.
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| 39. |
- Asp, Michaela, et al.
(författare)
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Spatially Resolved Transcriptomes : Next Generation Toolsfor Tissue Exploration
- 2020
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Ingår i: Bioessays. - : Wiley. - 0265-9247 .- 1521-1878. ; 42:10, s. 1900221-
-
Tidskriftsartikel (refereegranskat)abstract
- Recent advances in spatially resolved transcriptomics have greatly expandedthe knowledge of complex multicellular biological systems. The field hasquickly expanded in recent years, and several new technologies have beendeveloped that all aim to combine gene expression data with spatialinformation. The vast array of methodologies displays fundamentaldierences in their approach to obtain this information, and thus,demonstrate method-specific advantages and shortcomings. While the field ismoving forward at a rapid pace, there are still multiple challenges presentedto be addressed, including sensitivity, labor extensiveness, tissue-typedependence, and limited capacity to obtain detailed single-cell information.No single method can currently address all these key parameters. In thisreview, available spatial transcriptomics methods are described and theirapplications as well as their strengths and weaknesses are discussed. Futuredevelopments are explored and where the field is heading to is deliberatedupon.
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| 40. |
- Asplund, Anna, et al.
(författare)
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Expression profiling of microdissected cell populations selected from basal cells in normal epidermis and basal cell carcinoma
- 2008
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Ingår i: British Journal of Dermatology. - : Oxford University Press (OUP). - 0007-0963 .- 1365-2133. ; 158:3, s. 527-538
-
Tidskriftsartikel (refereegranskat)abstract
- Background Basal cell carcinomas (BCCs) are prevalent tumours with uniform histology that develop without any known precursor lesion. Alterations in the sonic hedgehog-patched1 signalling pathway are accepted as necessary events for tumorigenesis, and mutations in the patched1 gene are frequently present in tumours. Objectives To analyse transcript profiles in BCC. Methods We used laser-assisted microdissection to isolate and collect cell populations defined under the microscope. Peripheral cells from nests of BCC were selected to represent tumour cells, and normal keratinocytes from epidermis basal layer were used as control. Extracted RNA was amplified and hybridized on to a cDNA microarray. Results Our results show that BCC cells express a transcript signature that is significantly different from that of normal keratinocytes, and over 350 genes with various functions were identified as differentially expressed. The compiled data suggest an upregulation of the Wnt signalling pathway as a major event in BCC cells. Furthermore, tumour cells appear to have an increased sensitivity to oxygen radicals and dysregulated genes involved in antigen presentation. Results were validated at both the transcriptional level using real-time polymerase chain reaction and at the protein level using immunohistochemistry. Conclusions We show that microdissection in combination with robust strategies for RNA extraction, amplification and cDNA microarray analysis allow for reliable transcript profiling and that antibody-based proteomics provides an advantageous strategy for the analysis of corresponding differentially expressed proteins. We found that expression patterns were significantly altered in BCC cells compared with basal keratinocytes and that the Wnt signalling pathway was upregulated in tumour cells.
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| 41. |
- Asplund, Anna, et al.
(författare)
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Genetic mosaicism in basal cell carcinoma
- 2005
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Ingår i: Experimental dermatology. - : Wiley. - 0906-6705 .- 1600-0625. ; 14:8, s. 593-600
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Tidskriftsartikel (refereegranskat)abstract
- Human basal cell cancer (BCC) shows unique growth characteristics, including a virtual inability to metastasize, absence of a precursor stage and lack of tumour progression. The clonal nature of BCC has long been a subject for debate because of the tumour growth pattern. Despite a morphologically multifocal appearance, genetic analysis and three-dimensional reconstructions of tumours have favoured a unicellular origin. We have utilized the X-chromosome inactivation assay in order to examine clonality in 13 cases of BCC. Four parts of each individual tumour plus isolated samples of stroma were analysed following laser-assisted microdissection. In 12/13 tumours, the epithelial component of the tumour showed a monoclonal pattern suggesting a unicellular origin. Surprisingly, one tumour showed evidence of being composed of at least two non-related monoclonal clones. This finding was supported by the analysis of the ptch and p53 gene. Clonality analysis of tumour stroma showed both mono- and polyclonal patterns. A prerequisite for this assay is that the extent of skewing is determined and compensated for in each case. Owing to the mosaic pattern of normal human epidermis, accurate coefficients are difficult to obtain; we, therefore, performed all analyses both with and without considering skewing. This study concludes that BCC are monoclonal neoplastic growths of epithelial cells, embedded in a connective tissue stroma at least in part of polyclonal origin. The study results show that what appears to be one tumour may occasionally constitute two or more independent tumours intermingled or adjacent to each other, possibly reflecting a local predisposition to malignant transformation.
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| 42. |
- Asplund, A, et al.
(författare)
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PTCH codon 1315 polymorphism and risk for nonmelanoma skin cancer
- 2005
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Ingår i: British Journal of Dermatology. - : Oxford University Press (OUP). - 0007-0963 .- 1365-2133. ; 152:5, s. 868-873
-
Tidskriftsartikel (refereegranskat)abstract
- Background The PTCH tumour suppressor gene is involved in the development of nearly all basal cell carcinomas (BCCs) of the skin and a fraction of squamous cell carcinomas (SCCs). A nonconservative Pro/Leu nucleotide polymorphism within PTCH exon 23 at codon 1315 was recently reported to be potentially important for the development of breast epithelial cell cancers.Objectives Accordingly, the status of PTCH codon 1315 was analysed for a possible association with the development of nonmelanoma skin cancers (NMSCs) in a pilot study. Because skin cancer risk is affected by specific population-dependent phenotypes such as skin and hair colour, codon 1315 was also analysed for normal allele frequency variation in human populations having differing extents of eumelanin vs. phaeomelanin.Methods The single nucleotide polymorphism in codon 1315 of the human PTCH gene was analysed in genomic DNA from six different populations comprising 472 blood samples and from 170 patients in four different categories with NMSC. Polymerase chain reaction and pyrosequencing were used to determine the allele frequencies. Allelic loss was furthermore determined in tumours following microdissection.Results The Pro/Pro genotype frequency ranged from 30% to 65% between populations, with a significant trend for a reduced frequency of the Pro/Pro genotype in populations having lighter pigmentation (P = 0·020). Pro/Pro frequency showed an increasing trend with increasing tumour case severity (P = 0·027). In 260 samples from 180 Swedish patients with NMSC and a control group of 96 healthy ethnically matched volunteers, no statistically significant pairwise differences between groups were detected in the PTCH codon 1315 allelic distribution, neither was a difference seen for multiple or early onset cases of BCC in the Swedish population. In Swedish patients with single tumours, allelic loss (loss of heterozygosity) was observed in 20 of 30 (67%) patients with BCC and four of 22 (18%) patients with SCC, with no preference in the allele lost. In contrast, the Pro/Pro genotype was frequent in seven U.S. patients having multiple independent BCCs. One of these patients was heterozygous, enabling allelic loss studies. Of 20 independent tumours, 11 had lost an allele; 10 of the 11 had lost Leu, suggesting nonrandom loss that favoured retention of Pro (P = 0·0059).Conclusions Our results indicate an association between the eumelanin-to-phaeomelanin shift and a shift from the Pro/Pro genotype to Leu-containing genotypes. Failure to lose Pro during the shift to phaeomelanin may be associated with an increased population risk for BCC and increased individual risk for multiple BCC. During development of a tumour, the effect of Pro may be magnified by loss of the Leu allele.
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| 43. |
- Asplund, C., et al.
(författare)
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Real-time RT-PCR of protein epitope signature tags
- 2005
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Ingår i: Molecular & Cellular Proteomics. - : AMER SOC BIOCHEMISTRY MOLECULAR BIOLOGY INC. - 1535-9476 .- 1535-9484. ; 4:8, s. S60-S60
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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| 44. |
- Axberg Pålsson, Sandra, et al.
(författare)
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Single-Stranded Oligonucleotide-Mediated Inhibition of Respiratory Syncytial Virus Infection
- 2020
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Ingår i: Frontiers in Immunology. - : Frontiers Media SA. - 1664-3224. ; 11
-
Tidskriftsartikel (refereegranskat)abstract
- Respiratory syncytial virus (RSV) is the leading cause of acute lower respiratory tract infections in young children. Currently, there is no RSV vaccine or universally accessible antiviral treatment available. Addressing the urgent need for new antiviral agents, we have investigated the capacity of a non-coding single-stranded oligonucleotide (ssON) to inhibit RSV infection. By utilizing a GFP-expressing RSV, we demonstrate that the ssON significantly reduced the proportion of RSV infected A549 cells (lung epithelial cells). Furthermore, we show that ssON's antiviral activity was length dependent and that both RNA and DNA of this class of oligonucleotides have antiviral activity. We reveal that ssON inhibited RSV infection by competing with the virus for binding to the cellular receptor nucleolin in vitro. Additionally, using a recombinant RSV that expresses luciferase we show that ssON effectively blocked RSV infection in mice. Treatment with ssON in vivo resulted in the upregulation of RSV-induced interferon stimulated genes (ISGs) such as Stat1, Stat2, Cxcl10, and Ccl2. This study highlights the possibility of using oligonucleotides as therapeutic agents against RSV infection. We demonstrate that the mechanism of action of ssON is the inhibition of viral entry in vitro, likely through the binding of the receptor, nucleolin and that ssON treatment against RSV infection in vivo additionally results in the upregulation of ISGs.
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| 45. |
- Backvall, H., et al.
(författare)
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Mutation spectra of epidermal p53 clones adjacent to basal cell carcinoma and squamous cell carcinoma
- 2004
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Ingår i: Experimental dermatology. - : Wiley. - 0906-6705 .- 1600-0625. ; 13:10, s. 643-650
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Tidskriftsartikel (refereegranskat)abstract
- Foci of normal keratinocytes overexpressing p53 protein are frequently found in normal human skin. Such epidermal p53 clones are common in chronically sun-exposed skin and have been suggested to play a role in skin cancer development. In the present study, we have analyzed the prevalence of p53 mutations in epidermal p53 clones from normal skin surrounding basal cell carcinoma (BCC) and squamous cell carcinoma (SCC). Using laser-assisted microdissection, 37 epidermal p53 clones adjacent to BCC (21) and SCC (16) were collected. Genetic analysis was performed using a multiplex/nested polymerase chain reaction followed by direct DNA sequencing of p53 exons 2-11. In total, 21 of 37 analyzed p53 clones consisted of p53-mutated keratinocytes. The identified mutations were located in p53 exons 4-8, corresponding to the sequence-specific DNA-binding domain. All mutations were missense, and 78% displayed a typical ultraviolet signature. The frequency of p53 mutations was similar in skin adjacent to BCC compared to SCC. The presented data confirm and extend previous knowledge on the genetic background of epidermal p53 clones. The mutation spectra found in epidermal p53 clones resemble that of non-melanoma skin cancer. Approximately, 40% of the epidermal p53 clones lacked an underlying p53 mutation, suggesting that other genetic events in genes up- or downstream of the p53 gene can generate foci of normal keratinocytes overexpressing p53 protein.
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| 46. |
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| 47. |
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| 48. |
- Bergenstråhle, Joseph
(författare)
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Exploring the transcriptional space
- 2021
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Transcriptomics promises biological insight into gene regulation, cell diversity, and mechanistic understanding of dysfunction. Driven by technological advancements in sequencing technologies, the field has witnessed an exponential growth in data output. Not only has the amount of raw data increased tremendously but it’s granularity as well. From only being able to obtain aggregated transcript information from large tissue samples, we can now pinpoint the precise origin of transcripts within the tissue, sometimes even within the confines of individual cells. This thesis focuses on the different aspects of how to use these emergent technologies to obtain a greater understanding of biological mechanisms. The work conducted here spans only a few years of the much longer history of spatially resolved transcriptomics, which started with the early in situ hybridization techniques and will continue to a potential future with complete molecular profiling ofevery cell in their natural, active state. Thus, at the same time the workpresented here introduces and demonstrates the use of the latest techniques within spatial transcriptomics, it also deals with the shortcomings of the current state of the field, which undoubtedly will see extensive improvements in the not too distant future. Article I is part of a series of articles where we mechanistically examine the biological underpinnings of a serendipitous finding that single-stranded nucleic acids have immunomodulatory effects. In particular, we look at influenza-infected innate immune cells and the ability of the oligonucleotide to inhibit viral entry. The oligonucleotides prevent the cells from responding to certain types of pattern recognitionand cause a decrease in viral load. Our hypothesis is that the administration of oligonucleotides blocks certain endocytic routes. While the invivo experiments suggest that the influenza virus is still able to infect and promote disease in the host, changes in signaling response due to the inhibition of the endocytotic routes could represent an avenue for future therapeutics. The conclusions were drawn by combining protein labeling and conventional methods for RNA profiling in the form of quantitative realtime PCR and bulk RNA sequencing. As a transition into the concept of spatial RNA profiling, the thesis includes an Additional material review article on spatial transcriptomics, where we give an overview of the current state of the field, as it looked like in the beginning of 2020. In Article II, we report on the development of an R package for analyzing spatial transcriptomics datasets. The package offers visualization features and an automated pipeline for masking tissue images and aligning serially sectioned experiments. The tool is extensively used throughout the rest of the articles where spatial transcript information is analyzed and is available for all scientists that use the supported spatial transcriptomics platforms in their research. In Article III, we propose a method to spatially map long-read sequencing data. While previously described methods for high-throughput spatial transcriptomics produce short-read data, full-length transcript information allows us to spatially profile alternatively spliced transcripts. Using the proposed method, we find alternatively spliced transcripts and find isoforms of the same gene to be differentially expressed in different regions of the mouse brain. Furthermore, we profile RNA editing across the full-length transcripts and find certain parts of the mouse left hemisphere to display a substantially higher degree of editing events compared to the rest of the brain. The proposed method is based on readily available reagents and does not require advanced instrumentation. We believe full-length transcript information obtained in this manner could help scientists obtain a deeper understanding from transcriptome data. Finally, in Article IV, we explore how the latest technologies for spatial transcriptomics can be used to characterize the expression landscape of respiratory syncytial virus infections by comparing infected and non-infected mouse lungs. By integration of annotated single-cell data and spatially resolved transcriptomics, we map the location of the single cells onto the spatial grid to localize immune cell populations across the tissue sections. By correlating the locations to gene expression, we profile locally confined cellular processes and immune responses. We believe that high-throughput spatial information obtained without predefined targets will become an important tool for exploratory analysis and hypothesis generation, which in turn could unlock mechanistic knowledge of the differences between experimental models that are important for translational research.
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| 49. |
- Bergenstråhle, Joseph, et al.
(författare)
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Seamless integration of image and molecular analysis for spatial transcriptomics workflows
- 2020
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Ingår i: BMC Genomics. - : BioMed Central. - 1471-2164. ; 21:1
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Tidskriftsartikel (refereegranskat)abstract
- Background: Recent advancements in in situ gene expression technologies constitute a new and rapidly evolving field of transcriptomics. With the recent launch of the 10x Genomics Visium platform, such methods have started to become widely adopted. The experimental protocol is conducted on individual tissue sections collected from a larger tissue sample. The two-dimensional nature of this data requires multiple consecutive sections to be collected from the sample in order to construct a comprehensive three-dimensional map of the tissue. However, there is currently no software available that lets the user process the images, align stacked experiments, and finally visualize them together in 3D to create a holistic view of the tissue. Results: We have developed an R package named STUtility that takes 10x Genomics Visium data as input and provides features to perform standardized data transformations, alignment of multiple tissue sections, regional annotation, and visualizations of the combined data in a 3D model framework. Conclusions: STUtility lets the user process, analyze and visualize multiple samples of spatially resolved RNA sequencing and image data from the 10x Genomics Visium platform. The package builds on the Seurat framework and uses familiar APIs and well-proven analysis methods. An introduction to the software package is available at https://ludvigla.github.io/STUtility_web_site/.
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| 50. |
- Bergenstråhle, Joseph, et al.
(författare)
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Spatial transcriptomic profiling of RespiratorySyncytial Virus (RSV) infection
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Despite the fact that the human Respiratory Syncytial Virus (RSV) was first discoveredback in 1956, it remains one of the leading causes of morbidity and mortality inyoung children. Transcriptome-wide spatially resolved transcriptomics is a technologyunder rapid development that introduces a new modality for exploratory examinationof cellular behavior. With this modality, we examine how RSV infection changes thelocal cellular environment in the lung by infecting mice with RSV and comparing itto control samples four days after infection. We find viral presence in all compartmentsof the tissue, well-defined induced tertiary lymphoid tissue within some of thesamples, compartmentalized infiltration of innate immune cells, as well as functionalenrichment of airway epithelial repair pathways.
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