| 31. |
- Rasila, Tiina S., et al.
(författare)
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Mu transpososome activity-profiling yields hyperactive MuA variants for highly efficient genetic and genome engineering
- 2018
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Ingår i: Nucleic Acids Research. - : Oxford University Press (OUP). - 0305-1048 .- 1362-4962. ; 46:9, s. 4649-4661
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Tidskriftsartikel (refereegranskat)abstract
- The phage Mu DNA transposition system provides a versatile species non-specific tool for molecular biology, genetic engineering and genome modification applications. Mu transposition is catalyzed by MuA transposase, with DNA cleavage and integration reactions ultimately attaching the transposon DNA to target DNA. To improve the activity of the Mu DNA transposition machinery, we mutagenized MuA protein and screened for hyperactivity-causing substitutions using an in vivo assay. The individual activity-enhancing substitutions were mapped onto the MuA-DNA complex structure, containing a tetramer of MuA transposase, two Mu end segments and a target DNA. This analysis, combined with the varying effect of the mutations in different assays, implied that the mutations exert their effects in several ways, including optimizing protein-protein and protein-DNA contacts. Based on these insights, we engineered highly hyperactive versions of MuA, by combining several synergistically acting substitutions located in different subdomains of the protein. Purified hyperactive MuA variants are now ready for use as second-generation tools in a variety of Mu-based DNA transposition applications. These variants will also widen the scope of Mu-based gene transfer technologies toward medical applications such as human gene therapy. Moreover, the work provides a platform for further design of custom trans-posases.
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| 32. |
- Rivas-Carrillo, Salvador Daniel
(författare)
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The revolutionary partnership of computation and biology
- 2023
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- The organization of living beings is complex. Science uses modeling in order to gain a deeper understanding, and to be able to manipulate the processes of living organisms. To this purpose, I used and developed computational tools to investigate and model different relevant biological phenomena. In paper I, I utilized whole-genome data from wild and domesticated European rabbit (Oryctolagus cuniculus sp.) populations to identify segregating insertions of endogenous retroviruses and compare their variation along the host phylogeny and domestication history. The results from this study highlight the importance of genomic modeling beyond reference organisms and reference individuals, and provide deep insights regarding strategies for variant analyses in host population comparative genomics. In paper IV, I studied the process of exaptation of foreign genetic elements at broad-scale by observing the presence and characteristics of retroviral env gene, syncytin, across vertebrates. I searched a library of more than 150 chromosome-length assemblies covering 17 taxonomical orders for syncytin homologs, where I identified and syntenically aligned over 300 loci insertions, including not previously known insertions. Additionally, three-dimensional structures of the recovered sequences were predicted using AlphaFold2. Phylogenomics analyses suggest a complex dynamic of multiple retroviral insertions at different time points with sequence conservation specific to clades that share a similar histo-physiological placental type.In paper II, I expanded the scope to encompass translational medicine by developing an unsupervised machine learning methodology for detecting anomalies in biomedical signals, MindReader, which I applied primarily to electroencephalogram. In paper III, I developed a hidden Markov model implementation that includes a hypothesis generator for stream time-domain signals, which is used as a dependency for paper II. The work in this thesis substantiates that a combination of biological knowledge, cutting-edge technology, and robust algorithmic design constitute the primordial factors for scientific advancement.
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| 33. |
- Roos, Dirk, et al.
(författare)
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Hematologically important mutations : The autosomal forms of chronic granulomatous disease (third update)
- 2021
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Ingår i: Blood Cells, Molecules, and Diseases. - : Elsevier BV. - 1079-9796. ; 92
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Tidskriftsartikel (refereegranskat)abstract
- Chronic granulomatous disease (CGD) is an immunodeficiency disorder affecting about 1 in 250,000 individuals. CGD patients suffer from severe, recurrent bacterial and fungal infections. The disease is caused by mutations in the genes encoding the components of the leukocyte NADPH oxidase. This enzyme produces superoxide, which is subsequently metabolized to hydrogen peroxide and other reactive oxygen species (ROS). These products are essential for intracellular killing of pathogens by phagocytic leukocytes (neutrophils, eosinophils, monocytes and macrophages). The leukocyte NADPH oxidase is composed of five subunits, four of which are encoded by autosomal genes. These are CYBA, encoding p22phox, NCF1, encoding p47phox, NCF2, encoding p67phox and NCF4, encoding p40phox. This article lists all mutations identified in these genes in CGD patients. In addition, cytochrome b558 chaperone-1 (CYBC1), recently recognized as an essential chaperone protein for the expression of the X-linked NADPH oxidase component gp91phox (also called Nox2), is encoded by the autosomal gene CYBC1. Mutations in this gene also lead to CGD. Finally, RAC2, a small GTPase of the Rho family, is needed for activation of the NADPH oxidase, and mutations in the RAC2 gene therefore also induce CGD-like symptoms. Mutations in these last two genes are also listed in this article.
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| 34. |
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| 35. |
- Salonen, Johanna, et al.
(författare)
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Proteomic Changes during B Cell Maturation: 2D-DIGE Approach
- 2013
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Ingår i: PLoS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 8:10
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Tidskriftsartikel (refereegranskat)abstract
- B cells play a pivotal role in adaptive immune system, since they maintain a delicate balance between recognition and clearance of foreign pathogens and tolerance to self. During maturation, B cells progress through a series of developmental stages defined by specific phenotypic surface markers and the rearrangement and expression of immunoglobulin (Ig) genes. To get insight into B cell proteome during the maturation pathway, we studied differential protein expression in eight human cell lines, which cover four distinctive developmental stages; early pre-B, pre-B, plasma cell and immature B cell upon anti-IgM stimulation. Our two-dimensional differential gel electrophoresis (2D-DIGE) and mass spectrometry based proteomic study indicates the involvement of large number of proteins with various functions. Notably, proteins related to cytoskeleton were relatively highly expressed in early pre-B and pre-B cells, whereas plasma cell proteome contained endoplasmic reticulum and Golgi system proteins. Our long time series analysis in anti-IgM stimulated Ramos B cells revealed the dynamic regulation of cytoskeleton organization, gene expression and metabolic pathways, among others. The findings are related to cellular processes in B cells and are discussed in relation to experimental information for the proteins and pathways they are involved in. Representative 2D-DIGE maps of different B cell maturation stages are available online at http://structure.bmc.lu.se/BcellProteome/.
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| 36. |
- Sarkar, Anasua, et al.
(författare)
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Variation benchmark datasets : update, criteria, quality and applications
- 2020
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Ingår i: Database: the journal of biological databases and curation. - : Oxford University Press (OUP). - 1758-0463. ; 2020
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Tidskriftsartikel (refereegranskat)abstract
- Development of new computational methods and testing their performance has to be carried out using experimental data. Only in comparison to existing knowledge can method performance be assessed. For that purpose, benchmark datasets with known and verified outcome are needed. High-quality benchmark datasets are valuable and may be difficult, laborious and time consuming to generate. VariBench and VariSNP are the two existing databases for sharing variation benchmark datasets used mainly for variation interpretation. They have been used for training and benchmarking predictors for various types of variations and their effects. VariBench was updated with 419 new datasets from 109 papers containing altogether 329 014 152 variants; however, there is plenty of redundancy between the datasets. VariBench is freely available at http://structure.bmc.lu.se/VariBench/. The contents of the datasets vary depending on information in the original source. The available datasets have been categorized into 20 groups and subgroups. There are datasets for insertions and deletions, substitutions in coding and non-coding region, structure mapped, synonymous and benign variants. Effect-specific datasets include DNA regulatory elements, RNA splicing, and protein property for aggregation, binding free energy, disorder and stability. Then there are several datasets for molecule-specific and disease-specific applications, as well as one dataset for variation phenotype effects. Variants are often described at three molecular levels (DNA, RNA and protein) and sometimes also at the protein structural level including relevant cross references and variant descriptions. The updated VariBench facilitates development and testing of new methods and comparison of obtained performances to previously published methods. We compared the performance of the pathogenicity/tolerance predictor PON-P2 to several benchmark studies, and show that such comparisons are feasible and useful, however, there may be limitations due to lack of provided details and shared data. Database URL: http://structure.bmc.lu.se/VariBench.
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| 37. |
- Savchenko, Ekaterina, et al.
(författare)
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FGF family members differentially regulate maturation and proliferation of stem cell-derived astrocytes
- 2019
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Ingår i: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 9:1
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Tidskriftsartikel (refereegranskat)abstract
- The glutamate transporter 1 (GLT1) is upregulated during astrocyte development and maturation in vivo and is vital for astrocyte function. Yet it is expressed at low levels by most cultured astrocytes. We previously showed that maturation of human and mouse stem cell-derived astrocytes - including functional glutamate uptake - could be enhanced by fibroblast growth factor (FGF)1 or FGF2. Here, we examined the specificity and mechanism of action of FGF2 and other FGF family members, as well as neurotrophic and differentiation factors, on mouse embryonic stem cell-derived astrocytes. We found that some FGFs - including FGF2, strongly increased GLT1 expression and enhanced astrocyte proliferation, while others (FGF16 and FGF18) mainly affected maturation. Interestingly, BMP4 increased astrocytic GFAP expression, and BMP4-treated astrocytes failed to promote the survival of motor neurons in vitro. Whole transcriptome analysis showed that FGF2 treatment regulated multiple genes linked to cell division, and that the mRNA encoding GLT1 was one of the most strongly upregulated of all astrocyte canonical markers. Since GLT1 is expressed at reduced levels in many neurodegenerative diseases, activation of this pathway is of potential therapeutic interest. Furthermore, treatment with FGFs provides a robust means for expansion of functionally mature stem cell-derived astrocytes for preclinical investigation.
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| 38. |
- Schaafsma, Gerard C.P., et al.
(författare)
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BTKbase, Bruton Tyrosine Kinase Variant Database in X-Linked Agammaglobulinemia : Looking Back and Ahead
- 2023
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Ingår i: Human Mutation. - 1059-7794. ; 2023
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Tidskriftsartikel (refereegranskat)abstract
- BTKbase is an international database for disease-causing variants in Bruton tyrosine kinase (BTK) leading to X-linked agammaglobulinemia (XLA), a rare primary immunodeficiency of antibody production. BTKbase was established in 1994 as one of the first publicly available variation databases. The number of cases has more than doubled since the last update; it now contains information for 2310 DNA variants in 2291 individuals. 1025 of the DNA variants are unique. The human genome contains more than 500 protein kinases, among which BTK has the largest number of unique disease-causing variants. The current version of BTKbase has numerous novel features: the database has been reformatted, it has moved to LOVD database management system, it has been internally harmonized, etc. Systematics and standardization have been increased, including Variation Ontology annotations for variation types. There are some regions with lower than expected variation frequency and some hotspots for variations. BTKbase contains, in addition to variant descriptions at DNA, RNA and protein levels, also laboratory parameters and clinical features for many patients. BTKbase has served clinical and research communities in the diagnosis of XLA cases and provides general insight into effects of variations, especially in signalling pathways. Amino acid substitutions and their effects were investigated, predicted, and visualized at 3D level in the protein domains. BTKbase is freely available.
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| 39. |
- Schaafsma, Gerard C. P., et al.
(författare)
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Genetic Variation in Bruton Tyrosine Kinase
- 2015
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Ingår i: Agammaglobulinemia. - Cham : Springer International Publishing. - 9783319227146 ; , s. 75-85
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Bokkapitel (refereegranskat)abstract
- X-linked agammaglobulinemia (XLA) is a hereditary immunodeficiency caused by variations in the gene encoding for Bruton's tyrosine kinase (BTK). Patients with XLA have decreased numbers of mature B cells, lack all immunoglobulin isotypes, and therefore have susceptibility to severe bacterial infections. XLA-causing variations are collected into BTKbase freely available at http://structure.bmc.lu.se/idbase/BTKbase/. Details of the variations are provided at DNA, RNA, and protein levels, using standardized systematic names and a plain English description. In addition, clinical details from the patients are provided when available. BTKbase contains variation entries for 1362 patients from 1198 unrelated families altogether for 742 unique molecular events. The localization of the variations on the gene and protein for BTK can be analyzed by clicking sequences on web pages. The distribution of the variations in the five structural domains is approximately according to the length of the domains, except for the TH and SH3 domains. The most frequently affected sites are CpG dinucleotides. The majority of the amino acid substitutions are structural affecting protein fold or stability. Detailed statistics is provided highlighting variation types, affected domains, exons and introns, as well as structural consequences.
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| 40. |
- Schaafsma, Gerard C.P., et al.
(författare)
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Large differences in proportions of harmful and benign amino acid substitutions between proteins and diseases
- 2017
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Ingår i: Human Mutation. - : Hindawi Limited. - 1059-7794. ; 38:7, s. 839-848
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Tidskriftsartikel (refereegranskat)abstract
- Genes and proteins are known to have differences in their sensitivity to alterations. Despite numerous sequencing studies, proportions of harmful and harmless substitutions are not known for proteins and groups of proteins. To address this question, we predicted the outcome for all possible single amino acid substitutions (AASs) in nine representative protein groups by using the PON-P2 method. The effects on 996 proteins were studied and vast differences were noticed. Proteins in the cancer group harbor the largest proportion of harmful variants (42.1%), whereas the non-disease group of proteins not known to have a disease association and not involved in the housekeeping functions had the lowest number of harmful variants (4.2%). Differences in the proportions of the harmful and benign variants are wide within each group, but they still show clear differences between the groups. Frequently appearing protein domains show a wide spectrum of variant frequencies, whereas no major protein structural class-specific differences were noticed. AAS types in the original and variant residues showed distinctive patterns, which are shared by all the protein groups. The observations are relevant for understanding genetic bases of diseases, variation interpretation, and for the development of methods for that purpose.
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