| 1. |
- Grüning, Björn, et al.
(author)
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Bioconda: A sustainable and comprehensive software distribution for the life sciences
- 2017
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Other publication (other academic/artistic)abstract
- We present Bioconda (https://bioconda.github.io), a distribution of bioinformatics software for the lightweight, multi-platform and language-agnostic package manager Conda. Currently, Bioconda offers a collection of over 3000 software packages, which is continuously maintained, updated, and extended by a growing global community of more than 200 contributors. Bioconda improves analysis reproducibility by allowing users to define isolated environments with defined software versions, all of which are easily installed and managed without administrative privileges.
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| 2. |
- Ewels, Philip, et al.
(author)
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A Complete Overhaul of the Electron Energy-Loss Spectroscopy and X-Ray Absorption Spectroscopy Database : eelsdb.eu
- 2016
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In: Microscopy and Microanalysis. - 1431-9276 .- 1435-8115. ; 22:3, s. 717-724
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Journal article (peer-reviewed)abstract
- The electron energy-loss spectroscopy (EELS) and X-ray absorption spectroscopy (XAS) database has been completely rewritten, with an improved design, user interface, and a number of new tools. The database is accessible at https://eelsdb.eu/ and can now be used without registration. The submission process has been streamlined to encourage spectrum submissions and the new design gives greater emphasis on contributors' original work by highlighting their papers. With numerous new filters and a powerful search function, it is now simple to explore the database of several hundred EELS and XAS spectra. Interactive plots allow spectra to be overlaid, facilitating online comparison. An application-programming interface has been created, allowing external tools and software to easily access the information held within the database. In addition to the database itself, users can post and manage job adverts and read the latest news and events regarding the EELS and XAS communities. In accordance with the ongoing drive toward open access data increasingly demanded by funding bodies, the database will facilitate open access data sharing of EELS and XAS spectra.
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| 3. |
- Arnqvist, Göran, Professor, 1961-, et al.
(author)
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A chromosome-level assembly of the seed beetle Callosobruchus maculatus genome with annotation of its repetitive elements
- 2024
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In: G3. - : Oxford University Press. - 2160-1836. ; 14:2
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Journal article (peer-reviewed)abstract
- Callosobruchus maculatus is a major agricultural pest of legume crops worldwide and an established model system in ecology and evolution. Yet, current molecular biological resources for this species are limited. Here, we employ Hi-C sequencing to generate a greatly improved genome assembly and we annotate its repetitive elements in a dedicated in-depth effort where we manually curate and classify the most abundant unclassified repeat subfamilies. We present a scaffolded chromosome-level assembly, which is 1.01 Gb in total length with 86% being contained within the 9 autosomes and the X chromosome. Repetitive sequences accounted for 70% of the total assembly. DNA transposons covered 18% of the genome, with the most abundant superfamily being Tc1-Mariner (9.75% of the genome). This new chromosome-level genome assembly of C. maculatus will enable future genetic and evolutionary studies not only of this important species but of beetles more generally.
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| 4. |
- Arnqvist, Göran, et al.
(author)
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A chromosome-level assembly of the seed beetle Callosobruchus maculatus genome with annotation of its repetitive elements
- 2024
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In: G3. - 2160-1836. ; 14:2
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Journal article (peer-reviewed)abstract
- Callosobruchus maculatus is a major agricultural pest of legume crops worldwide and an established model system in ecology and evolution. Yet, current molecular biological resources for this species are limited. Here, we employ Hi-C sequencing to generate a greatly improved genome assembly and we annotate its repetitive elements in a dedicated in-depth effort where we manually curate and classify the most abundant unclassified repeat subfamilies. We present a scaffolded chromosome-level assembly, which is 1.01 Gb in total length with 86% being contained within the 9 autosomes and the X chromosome. Repetitive sequences accounted for 70% of the total assembly. DNA transposons covered 18% of the genome, with the most abundant superfamily being Tc1-Mariner (9.75% of the genome). This new chromosome-level genome assembly of C. maculatus will enable future genetic and evolutionary studies not only of this important species but of beetles more generally.
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| 5. |
- Bassett, Andrew R., et al.
(author)
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Understanding functional miRNA-target interactions in vivo by site-specific genome engineering
- 2014
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In: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 5, s. 4640-
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Journal article (peer-reviewed)abstract
- MicroRNA (miRNA) target recognition is largely dictated by short 'seed' sequences, and single miRNAs therefore have the potential to regulate a large number of genes. Understanding the contribution of specific miRNA-target interactions to the regulation of biological processes in vivo remains challenging. Here we use transcription activator-like effector nuclease (TALEN) and clustered regularly interspaced short palindromic repeat (CRISPR)/Cas9 technologies to interrogate the functional relevance of predicted miRNA response elements (MREs) to post-transcriptional silencing in zebrafish and Drosophila. We also demonstrate an effective strategy that uses CRISPR-mediated homology-directed repair with short oligonucleotide donors for the assessment of MRE activity in human cells. These methods facilitate analysis of the direct phenotypic consequences resulting from blocking specific miRNA-MRE interactions at any point during development.
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| 6. |
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| 7. |
- Engström, Karin, et al.
(author)
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Transcriptomics and methylomics of CD4-positive T cells in arsenic-exposed women
- 2017
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In: Archives of Toxicology. - : Springer Science and Business Media LLC. - 0340-5761 .- 1432-0738. ; 91:5, s. 2067-2078
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Journal article (peer-reviewed)abstract
- Arsenic, a carcinogen with immunotoxic effects, is a common contaminant of drinking water and certain food worldwide. We hypothesized that chronic arsenic exposure alters gene expression, potentially by altering DNA methylation of genes encoding central components of the immune system. We therefore analyzed the transcriptomes (by RNA sequencing) and methylomes (by target-enrichment next-generation sequencing) of primary CD4-positive T cells from matched groups of four women each in the Argentinean Andes, with fivefold differences in urinary arsenic concentrations (median concentrations of urinary arsenic in the lower- and high-arsenic groups: 65 and 276 mu g/l, respectively). Arsenic exposure was associated with genome-wide alterations of gene expression; principal component analysis indicated that the exposure explained 53% of the variance in gene expression among the top variable genes and 19% of 28,351 genes were differentially expressed (false discovery rate < 0.05) between the exposure groups. Key genes regulating the immune system, such as tumor necrosis factor alpha and interferon gamma, as well as genes related to the NF-kappa-beta complex, were significantly downregulated in the high-arsenic group. Arsenic exposure was associated with genome-wide DNA methylation; the high-arsenic group had 3% points higher genome-wide full methylation (> 80% methylation) than the lower-arsenic group. Differentially methylated regions that were hyper-methylated in the high-arsenic group showed enrichment for immune-related gene ontologies that constitute the basic functions of CD4-positive T cells, such as isotype switching and lymphocyte activation and differentiation. In conclusion, chronic arsenic exposure from drinking water was related to changes in the transcriptome and methylome of CD4-positive T cells, both genome wide and in specific genes, supporting the hypothesis that arsenic causes immunotoxicity by interfering with gene expression and regulation.
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| 8. |
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| 9. |
- Ewels, Philip, et al.
(author)
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MultiQC : summarize analysis results for multiple tools and samples in a single report
- 2016
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In: Bioinformatics. - : Oxford University Press (OUP). - 1367-4803 .- 1367-4811. ; 32:19, s. 3047-3048
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Journal article (peer-reviewed)abstract
- Motivation: Fast and accurate quality control is essential for studies involving next-generation sequencing data. Whilst numerous tools exist to quantify QC metrics, there is no common approach to flexibly integrate these across tools and large sample sets. Assessing analysis results across an entire project can be time consuming and error prone; batch effects and outlier samples can easily be missed in the early stages of analysis.Results: We present MultiQC, a tool to create a single report visualising output from multiple tools across many samples, enabling global trends and biases to be quickly identified. MultiQC can plot data from many common bioinformatics tools and is built to allow easy extension and customization.
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| 10. |
- Garcia, Maxime, et al.
(author)
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Sarek: A portable workflow for whole-genome sequencing analysis of germline and somatic variants
- 2020
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In: F1000 Research. - : F1000 Research Ltd. - 2046-1402. ; 9
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Journal article (peer-reviewed)abstract
- Whole-genome sequencing (WGS) is a fundamental technology for research to advance precision medicine, but the limited availability of portable and user-friendly workflows for WGS analyses poses a major challenge for many research groups and hampers scientific progress. Here we present Sarek, an open-source workflow to detect germline variants and somatic mutations based on sequencing data from WGS, whole-exome sequencing (WES), or gene panels. Sarek features (i) easy installation, (ii) robust portability across different computer environments, (iii) comprehensive documentation, (iv) transparent and easy-to-read code, and (v) extensive quality metrics reporting. Sarek is implemented in the Nextflow workflow language and supports both Docker and Singularity containers as well as Conda environments, making it ideal for easy deployment on any POSIX-compatible computers and cloud compute environments. Sarek follows the GATK best-practice recommendations for read alignment and pre-processing, and includes a wide range of software for the identification and annotation of germline and somatic single-nucleotide variants, insertion and deletion variants, structural variants, tumour sample purity, and variations in ploidy and copy number. Sarek offers easy, efficient, and reproducible WGS analyses, and can readily be used both as a production workflow at sequencing facilities and as a powerful stand-alone tool for individual research groups. The Sarek source code, documentation and installation instructions are freely available at https://github.com/nf-core/sarek and at https://nf-co.re/sarek/.
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| 11. |
- Ivanov, Maxim, et al.
(author)
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Single base resolution analysis of 5-hydroxymethylcytosine in 188 human genes : implications for hepatic gene expression
- 2016
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In: Nucleic Acids Research. - : Oxford University Press. - 0305-1048 .- 1362-4962. ; 44:14, s. 6756-6769
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Journal article (peer-reviewed)abstract
- To improve the epigenomic analysis of tissues rich in 5-hydroxymethylcytosine (hmC), we developed a novel protocol called TAB-Methyl-SEQ, which allows for single base resolution profiling of both hmC and 5-methylcytosine by targeted next-generation sequencing. TAB-Methyl-SEQ data were extensively validated by a set of five methodologically different protocols. Importantly, these extensive cross-comparisons revealed that protocols based on Tet1-assisted bisulfite conversion provided more precise hmC values than TrueMethyl-based methods. A total of 109 454 CpG sites were analyzed by TAB-Methyl-SEQ for mC and hmC in 188 genes from 20 different adult human livers. We describe three types of variability of hepatic hmC profiles: (i) sample-specific variability at 40.8% of CpG sites analyzed, where the local hmC values correlate to the global hmC content of livers (measured by LC-MS), (ii) gene-specific variability, where hmC levels in the coding regions positively correlate to expression of the respective gene and (iii) site-specific variability, where prominent hmC peaks span only 1 to 3 neighboring CpG sites. Our data suggest that both the gene-and site-specific components of hmC variability might contribute to the epigenetic control of hepatic genes. The protocol described here should be useful for targeted DNA analysis in a variety of applications.
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| 12. |
- Jemt, Anders, 1985-, et al.
(author)
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Evaluation of methods for whole genome and transcriptome sequencing from nanograms of FFPE samples
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Other publication (other academic/artistic)abstract
- The most widely used method for the preservation of clinical tissue specimens is formalin fixation and paraffin embedding (FFPE). Simultaneous analysis of RNA and DNA from samples preserved using this method have long proved problematic, primarily due to lack of material. Here, we describe an attempt to build a complete analysis package for RNA and DNA extracted from single tissue sections. The workflow includes quality control of the extracted material, library preparation and data analysis. We extract DNA with varying integrity from FFPE sections and subject them to whole genome sequencing using two library preparation methods, Illumina TruSeq Nano using the Illumina NeoPrep and Rubicon Genomics ThruPlex. We are able to obtain some usable data, albeit with high duplication rates, demonstrating both the possibilities and challenges of sequencing damaged DNA. Two different approaches to transcriptome sequencing are assessed, the TruSeq RNA Access library preparation kit from Illumina and the SMARTer Stranded Total RNA-Seq Kit - Pico Input from Clonetech. The sequence capture approach of the TruSeq kit is shown to be more robust to low integrity RNA compared to the SMARTer kit. However, the SMARTer kit needs much less starting material and is able to yield data about all transcripts, not just protein coding mRNA.
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| 13. |
- Lutgen, Dave, et al.
(author)
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Linked-read sequencing enables haplotype-resolved resequencing at population scale
- 2020
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In: Molecular Ecology Resources. - : WILEY. - 1755-098X .- 1755-0998. ; 20:5, s. 1311-1322
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Journal article (peer-reviewed)abstract
- The feasibility to sequence entire genomes of virtually any organism provides unprecedented insights into the evolutionary history of populations and species. Nevertheless, many population genomic inferences - including the quantification and dating of admixture, introgression and demographic events, and inference of selective sweeps - are still limited by the lack of high-quality haplotype information. The newest generation of sequencing technology now promises significant progress. To establish the feasibility of haplotype-resolved genome resequencing at population scale, we investigated properties of linked-read sequencing data of songbirds of the genusOenantheacross a range of sequencing depths. Our results based on the comparison of downsampled (25x, 20x, 15x, 10x, 7x, and 5x) with high-coverage data (46-68x) of seven bird genomes mapped to a reference suggest that phasing contiguities and accuracies adequate for most population genomic analyses can be reached already with moderate sequencing effort. At 15x coverage, phased haplotypes span about 90% of the genome assembly, with 50% and 90% of phased sequences located in phase blocks longer than 1.25-4.6 Mb (N50) and 0.27-0.72 Mb (N90). Phasing accuracy reaches beyond 99% starting from 15x coverage. Higher coverages yielded higher contiguities (up to about 7 Mb/1 Mb [N50/N90] at 25x coverage), but only marginally improved phasing accuracy. Phase block contiguity improved with input DNA molecule length; thus, higher-quality DNA may help keeping sequencing costs at bay. In conclusion, even for organisms with gigabase-sized genomes like birds, linked-read sequencing at moderate depth opens an affordable avenue towards haplotype-resolved genome resequencing at population scale.
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| 14. |
- Patalano, Solenn, et al.
(author)
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Molecular signatures of plastic phenotypes in two eusocial insect species with simple societies
- 2015
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In: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 0027-8424 .- 1091-6490. ; 112:45, s. 13970-13975
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Journal article (peer-reviewed)abstract
- Phenotypic plasticity is important in adaptation and shapes the evolution of organisms. However, we understand little about what aspects of the genome are important in facilitating plasticity. Eusocial insect societies produce plastic phenotypes from the same genome, as reproductives (queens) and nonreproductives (workers). The greatest plasticity is found in the simple eusocial insect societies in which individuals retain the ability to switch between reproductive and nonreproductive phenotypes as adults. We lack comprehensive data on the molecular basis of plastic phenotypes. Here, we sequenced genomes, microRNAs (miRNAs), and multiple transcriptomes and methylomes from individual brains in a wasp (Polistes canadensis) and an ant (Dinoponera quadriceps) that live in simple eusocial societies. In both species, we found few differences between phenotypes at the transcriptional level, with little functional specialization, and no evidence that phenotype-specific gene expression is driven by DNA methylation or miRNAs. Instead, phenotypic differentiation was defined more subtly by nonrandom transcriptional network organization, with roles in these networks for both conserved and taxon-restricted genes. The general lack of highly methylated regions or methylome patterning in both species may be an important mechanism for achieving plasticity among phenotypes during adulthood. These findings define previously unidentified hypotheses on the genomic processes that facilitate plasticity and suggest that the molecular hallmarks of social behavior are likely to differ with the level of social complexity.
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| 15. |
- Peña-Pérez, L., et al.
(author)
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Linked-read whole-genome sequencing resolves common and private structural variants in multiple myeloma
- 2022
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In: Blood Advances. - : American Society of Hematology. - 2473-9529 .- 2473-9537. ; 6:17, s. 5009-5023
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Journal article (peer-reviewed)abstract
- Multiple myeloma (MM) is an incurable and aggressive plasma cell malignancy characterized by a complex karyotype with multiple structural variants (SVs) and copy-number variations (CNVs). Linked-read whole-genome sequencing (lrWGS) allows for refined detection and reconstruction of SVs by providing long-range genetic information from standard short-read sequencing. This makes lrWGS an attractive solution for capturing the full genomic complexity of MM. Here we show that high-quality lrWGS data can be generated from low numbers of cells subjected to fluorescence-activated cell sorting (FACS) without DNA purification. Using this protocol, we analyzed MM cells after FACS from 37 patients with MM using lrWGS. We found high concordance between lrWGS and fluorescence in situ hybridization (FISH) for the detection of recurrent translocations and CNVs. Outside of the regions investigated by FISH, we identified .150 additional SVs and CNVs across the cohort. Analysis of the lrWGS data allowed for resolution of the structure of diverse SVs affecting the MYC and t(11;14) loci, causing the duplication of genes and gene regulatory elements. In addition, we identified private SVs causing the dysregulation of genes recurrently involved in translocations with the IGH locus and show that these can alter the molecular classification of MM. Overall, we conclude that lrWGS allows for the detection of aberrations critical for MM prognostics and provides a feasible route for providing comprehensive genetics. Implementing lrWGS could provide more accurate clinical prognostics, facilitate genomic medicine initiatives, and greatly improve the stratification of patients included in clinical trials.
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| 16. |
- Pena-Perez, Lucia, et al.
(author)
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Linked-read whole-genome sequencing resolves common and private structural variants in multiple myeloma
- 2022
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In: Blood Advances. - : American Society of Hematology. - 2473-9529 .- 2473-9537. ; 6:17, s. 5009-5023
-
Journal article (peer-reviewed)abstract
- Multiple myeloma (MM) is an incurable and aggressive plasma cell malignancy characterized by a complex karyotype with multiple structural variants (SVs) and copy-number variations (CNVs). Linked-read whole-genome sequencing (lrWGS) allows for refined detection and reconstruction of SVs by providing long-range genetic information from standard short-read sequencing. This makes lrWGS an attractive solution for capturing the full genomic complexity of MM. Here we show that high-quality lrWGS data can be generated from low numbers of cells subjected to fluorescence-activated cell sorting (FACS) without DNA purification. Using this protocol, we analyzed MM cells after FACS from 37 patients with MM using lrWGS. We found high concordance between lrWGS and fluorescence in situ hybridization (FISH) for the detection of recurrent translocations and CNVs. Outside of the regions investigated by FISH, we identified > 150 additional SVs and CNVs across the cohort. Analysis of the lrWGS data allowed for resolution of the structure of diverse SVs affecting the MYC and t(11;14) loci, causing the duplication of genes and gene regulatory elements. In addition, we identified private SVs causing the dysregulation of genes recurrently involved in translocations with the IGH locus and show that these can alter the molecular classification of MM. Overall, we conclude that lrWGS allows for the detection of aberrations critical for MM prognostics and provides a feasible route for providing comprehensive genetics. Implementing lrWGS could provide more accurate clinical prognostics, facilitate genomic medicine initiatives, and greatly improve the stratification of patients included in clinical trials.
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| 17. |
- Wojewodzic, Marcin W., et al.
(author)
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Ultralow amounts of DNA from long-term archived serum samples produce high-quality methylomes
- 2021
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In: Clinical Epigenetics. - : Springer Science and Business Media LLC. - 1868-7083 .- 1868-7075. ; 13:1
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Journal article (peer-reviewed)abstract
- Background: Long-term stored serum is considered challenging for epigenomic analyses: as there are no cells, circulating DNA is scarce, and amplification removes epigenetic signals. Additionally, pre-analytical treatments and storage might introduce biases and fragmentation to the DNA. In particular, starting with low-input DNA can result in low-diversity libraries. However, successful whole-genome bisulphite sequencing (WGBS) of such serum samples has the potential to open biobanks for epigenetic analyses and deliver novel prediagnostic biomarkers. Here, we perform WGBS using the Accel-NGS library preparation kit on ultralow amounts of DNA from long-term archived samples with diverse pretreatments from the Janus Serum Bank.Results: Ninety-four of the 96 samples produced satisfactory methylation calls; an average of 578 M reads per sample generated a mean coverage of 17× and mean duplication level of 35%. Failed samples were related to poor bisulphite conversion rather than to sequencing or library preparation. We demonstrate the feasibility of WGBS on ultralow DNA yields from serum samples stored up to 48 years.Conclusions: Our results show the potential of large serum biobank collections for future epigenomic studies and biomarker discovery.
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