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23,030 results for “RNA_seq”
RNA-seq - Definitive endoderm differentiation of human pluripotent stem cells in G1 phase
<p>Backup copy of the processed RNA-seq data at http://ngs.sanger.ac.uk/production/endoderm/</p>
RNA-Seq and proteomics of Crohn's disease: Terminal ileum of inflamed and non inflamed paired tissue biopsy
<p>The cause of chronic inflammation manifestations such as inflammatory bowel disease (IBD) is still not yet fully understood. Evidence however points to the convergence of environmental factors, genetic factors, intestinal microbiota and the immune response at the intestinal epithelial surface that consequently leads to a breakdown of barrier function in IBD. An increasing number of theories implicate a dysfunctional intestinal epithelial surface in the pathogenesis of IBD and progression to complicated disease, which contributes significantly to the IBD burden. As yet, the significance of the intestinal epithelial surface in IBD manifestation and progression has not been explored using a systems biology approach, that compares the mucosa of healthy patients to those with IBD. In the context of dyregulation of the epithelial barrier, there is a scarcity of publications that explore the contribution of proteins- the effectors of the cells and RNA message in the pathways affected by CD and in particular the localization of inflammatory response. We aim to evaluate the functional pathways of chronic inflammation at the intestinal epithelial surface using a combination of transcriptomic and proteomic analyses on intestinal epithelial tissue samples from paired inflamed and non-inflammed Crohn's disease (CD) and healthy control subjects. Concordance of several biological pathways from both data sets was found to be altered in CD patients' epithelia when compared to healthy controls. This information could be helpful in identifying novel therapeutic targets that aim to restore barrier function at the intestinal epithelial surface and to guide therapy.</p>
Whole blood RNA-seq demonstrates an increased host immune response in individuals with cystic fibrosis who develop nontuberculous mycobacterial pulmonary disease
<p><strong>Background </strong></p> <p>Individuals with cystic fibrosis have an elevated lifetime risk of colonization, infection, and disease caused by nontuberculous mycobacteria. A prior study involving non-cystic fibrosis individuals reported a gene expression signature associated with susceptibility to nontuberculous mycobacteria pulmonary disease (NTM-PD). In this study, we determined whether people living with cystic fibrosis who progress to NTM-PD have a gene expression pattern similar to the one seen in the non-cystic fibrosis population. <strong> </strong></p> <p><strong>Methods</strong></p> <p>We evaluated whole blood transcriptomics using bulk RNA-seq in a cohort of cystic fibrosis patients with samples collected closest in timing to the first isolation of nontuberculous mycobacteria. The study population included patients who did (n = 12) and did not (n = 30) develop NTM-PD following the first mycobacterial growth. Progression to NTM-PD was defined by a consensus of two expert clinicians based on reviewing clinical, microbiological, and radiological information. Differential gene expression was determined by DESeq2.</p> <p><strong>Results</strong></p> <p>No differences in demographics or composition of white blood cell populations between groups were identified at baseline. Out of 213 genes associated with NTM-PD in the non-CF population, only two were significantly different in our cystic fibrosis NTM-PD cohort. Gene set enrichment analysis of the differential expression results showed that CF individuals who developed NTM-PD had higher expression levels of genes involved in the interferon (α and γ), tumor necrosis factor, and IL6-STAT3-JAK pathways. <strong> </strong></p> <p><strong>Conclusion</strong></p> <p>In contrast to the non-cystic fibrosis population, the gene expression signature of patients with cystic fibrosis who develop NTM-PD is characterized by increased innate immune responses.</p>
Bulk RNA-seq dataset of human embryonic stem cells (hESCs) differentiation
<p>The dataset consists of 31 bulk samples obtained from human embryonic stem cells undergoing undirected differentiation. The samples were collected at 16 time points on days 0 and 7-21 of differentiation. The file contains the raw read counts.</p> <p>More details can be found in:</p> <p>SPIRAL: Significant Process InfeRence ALgorithm for single cell RNA-sequencing and spatial transcriptomics\<br> Hadas Biran, Tamar Hashimshony, Tamar Lahav, Or Efrat, Yael Mandel-Gutfreund, and Zohar Yakhini</p> <p> <a href="https://doi.org/10.1101/2022.05.24.493189">https://doi.org/10.1101/2022.05.24.493189</a></p>
Data from: Single-nucleus RNA-seq and ATAC-seq in outbred rats with divergent cocaine addiction behaviors reveal long-term changes in gene regulation and GABAergic inhibition in the amygdala
<p>This dataset accompanies our publication titled: "Single-nucleus RNA-seq and ATAC-seq in outbred rats with divergent cocaine addiction behaviors reveal long-term changes in gene regulation and GABAergic inhibition in the amygdala."</p> <p><strong>Files Included:</strong></p> <p><strong>1. geno.N26.vcf.gz</strong><br> - Description: Contains genotypes for 26 Heterogeneous Stock rats whose gene expression was predicted.</p> <p><strong>2. pred_expr.Brain.N26.tsv</strong><br> - Description: This tab-delimited table contains predicted relative gene expression in the brain for 26 Heterogeneous Stock rats. <br> - Details: Predictions were made for 8,997 genes from linear models based on cis-eQTLs from whole brain hemisphere tissue downloaded from the <a href="https://ratgtex.org/download/">RatGTEx Portal</a>. A gene is included in the table if it had at least one significant cis-eQTL, and if its predicted expression in these 26 animals had nonzero variance. The values in the table give the predicted log2(relative expression), where log2(2) = 1 is the baseline expression from the two haplotypes of the gene if it had only reference alleles at all its regulatory loci.<br> - Additional Info: Predictions were generated using <strong>gene_expr_pred.py</strong> available at https://github.com/PejLab/gene_expr_pred<br> An explanation of the prediction model is given in https://doi.org/10.1101/2022.01.28.478116</p> <p><strong>3. Behavioral data.xlsx</strong><br> - Description: Contains behavioral data for the Heterogeneous Stock (HS) rats.<br> - Organization: Each sheet in the file corresponds to data for a specific figure.</p> <p><strong>Additional Dataset Locations:</strong></p> <p>The primary datasets generated during this study can be found on the Gene Expression Omnibus under accession number <a href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE212417">GSE212417</a></p> <p><strong>Publicly Available Datasets Utilized:</strong></p> <p>- Rattus norvegicus Ensembl v98 reference genome and genome assembly: <a href="http://useast.ensembl.org/Rattus_norvegicus/Info/Index">Rnor_6.0 </a><br> - JASPAR2022 transcription factor binding profiles for vertebrates: <a href="https://jaspar.genereg.net/">JASPAR</a><br> - ENCODE Honeybadger 2 ChIP-seq: <a href="https://personal.broadinstitute.org/meuleman/reg2map/">Broad Institute</a><br> - Liu et al. 2019106 GWAS for tobacco and nicotine addiction summary statistics: <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358542/">PubMed</a><br> - RatGTEx Portal tissue-specific cis-eQTLs: <a href="https://ratgtex.org/download/">RatGTEx Portal </a><br> - 1000 Genomes European reference panel: <a href="https://alkesgroup.broadinstitute.org/LDSCORE/">Alkes Group</a><br> - KEGG pathways: <a href="https://www.kegg.jp/kegg/rest/keggapi.html">KEGG API</a></p>
Supplementary Data: Identification of experimentally-supported poly(A) sites in single-cell RNA-seq data with SCINPAS
<p>Supplementary data for the SCINPAS analysis as part of the manuscript "Identification of experimentally-supported poly(A) sites in single-cell RNA-seq data with SCINPAS".</p> <p>It includes the output of SCINPAS, available here: <a href="https://github.com/zavolanlab/SCINPAS">https://github.com/zavolanlab/SCINPAS</a>, used for the analyses. Additionally, the scripts and data for the comparison with other tools is provided. Please read the README.md for more information.</p>
Sugar signal manipulation by T6P for yield on wheat grain - whole grain RNA-seq
<p>Trehalose 6-phosphate (T6P) is a powerful internal sugar signal in plants yet cannot be directly added nor<br>fully genetically controlled. A timed microdose of a plant-permeable T6P signalling precursor, DMNB-T6P, causes substantial yield improvements. This repository contains normalised counts table for a RNA-seq of wheat (Triticum aestivum) whole grains after spray with mock/DMNB-T6P.</p> <p>DESeq2 normalised count table for raw reads deposited in ncbi SRA under Bioproject PRJNA1007614. Related manuscript in press in Nature Biotechnology.</p> <p> </p> <p>Methods extract below:</p> <p>(...) Following RNA integrity analysis and quantitation (Bioanalyser; Agilent, USA), poly-A enriched cDNA libraries were generated and sequenced on an Illumina Novaseq 6000 sequencing platform generating 30–50 million 150 bp paired-end reads per sample. Low-quality reads and adaptor sequences were removed with Trimmomatic (trimmomatic-0.39.jar PE ILLUMINACLIP:TruSeq3-PE.fa:2:30:10:2:True TRAILING:30 MINLEN:40). The reads were aligned to the wheat reference genome (<em>Triticum aestivum</em> iwgsc_refseqv2.1 using HISAT2/2.2.1-foss-2019b with default parameters and converted to Bam format with SAMtools. Gene abundance was quantified using featureCounts with the High Confidence iwgsc_refseqv2.1 annotation (counting only primary alignments of read pairs with a quality cut-off of 10). Raw counts were normalized using the trimmed mean of M-values method by DESeq2.</p>
RNA-seq based analysis of gene expression in thyroids of wild-type and Keap1 knockdown mice after exposure to excess iodide.
<p>C57BL/6J Keap1flox/flox mice were developed by Prof. Masayuki Yamamoto (DOI: 10.1016/j.bbrc.2005.10.185). These mice express lower levels of Keap1 because of the loxP site insertions (DOI: 10.1128/MCB.01591-09) and are designated as Keap1KD. 3-4 months old WT and Keap1KD mice fed a standard diet (KLIBA NAFAG 3242, Switzerland) containing 1.5 mg/kg sodium iodine were given normal tap water with or without 0.05% sodium iodide (Sigma, St Louis, MO, USA) for 7 days. Hence, the following groups of mice were included:</p> <p>WT mice on control water (n=8)-designated as wt in the file</p> <p>WT mice exposed to excess iodide (WT-IOD, n=6)- designated as wti in the file</p> <p>Keap1KD mice on control water (n=8)- designated as kp in the file</p> <p> and Keap1KD mice exposed to excess iodide (Keap1KD-IOD, n=6)- designated as kpI in the file. </p> <p> Mice were maintained in the animal facility of the Department of Physiology at the University of Lausanne in temperature-, light-, and humidity-controlled rooms with a 12-hour light/dark cycle. All animal procedures were in accordance with Swiss legislature and the study was approved by the Canton of Vaud SCAV.</p> <p>RNA from individual mouse thyroids was prepared as previously described (DOI: 10.1007/978-1-4939-3756-1_25) and was submitted to Alithea Genomics (Switzerland). The bulk RNA barcoding and sequencing (BRB-seq) libraries were generated and sequenced as described previously (DOI: 10.1186/s13059-019-1671-x) to a depth of approximately 1.2 million raw reads per sample.</p> <p>This research was funded by the Swiss National Science Foundation Research Grants 310030_212558, IZCOZ0_205415 and IZCOZ0_177070</p> <p></p> <p></p>
Extended data tables to Haering and Habermann, F1000Res, RNfuzzyApp: an R shiny RNA-seq data analysis app for visualisation, differential expression analysis, time-series clustering and enrichment analysis
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Data for: Emergent dynamics of adult stem cell lineages from single nucleus and single cell RNA-Seq of Drosophila testes
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Whole blood RNA-seq demonstrates an increased host immune response in individuals with cystic fibrosis who develop nontuberculous mycobacterial pulmonary disease
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RNA-Seq and proteomics of Crohn's disease: Terminal ileum of inflamed and non inflamed paired tissue biopsy
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Synthetic bulk RNA-Seq transcriptomic profiles representing 10 Cancer hallmarks
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Generating an expression matrix for droplet single-cell RNA-seq (dscRNA-seq) data
<p>This tutorial is adapted from the 'Generating an expression matrix' training session at the EBI (https://www.ebi.ac.uk/training/events/2019/single-cell-rna-seq-analysis-questions-clusters).</p>
Raw data of RNA-seq and IGV -2
<p>Raw data of RNA-seq and IGV of infected samples and mock infected samples</p>
Data from: Single cell RNA-seq analysis reveals that prenatal arsenic exposure results in long-term, adverse effects on immune gene expression in response to Influenza A infection
<p>Arsenic exposure via drinking water is a serious environmental health concern. Epidemiological studies suggest a strong association between prenatal<i> </i>arsenic exposure and subsequent childhood respiratory infections, as well as morbidity from respiratory diseases in adulthood, long after systemic clearance of arsenic.<i> </i>We investigated the impact of exclusive prenatal arsenic exposure on the inflammatory immune response and respiratory health after an adult influenza A (IAV) lung infection. C57BL/6J mice were exposed to 100 ppb sodium arsenite<i> in utero,</i> and subsequently infected with IAV (H1N1) after maturation to adulthood. Assessment of lung tissue and bronchoalveolar lavage fluid (BALF) at various time points post IAV infection reveals greater lung damage and inflammation in arsenic exposed mice versus control mice. Single-cell RNA sequencing analysis of immune cells harvested from IAV infected lungs suggests that the enhanced inflammatory response is mediated by dysregulation of innate immune function of monocyte derived macrophages, neutrophils, NK cells, and alveolar macrophages. Our results suggest that prenatal arsenic exposure results in lasting effects on the adult host innate immune response to IAV infection, long after exposure to arsenic, leading to greater immunopathology. This study provides the first direct evidence that exclusive prenatal exposure to arsenic in drinking water causes predisposition to a hyperinflammatory response to IAV infection in adult mice, which is associated with significant lung damage.</p>
A novel method for using RNA-seq data to identify imprinted genes in social Hymenoptera with multiply mated queens
<p>Genomic imprinting results in parent-of-origin dependent gene expression biased towards either the maternally- or paternally-derived allele at the imprinted locus. The kinship theory of genomic imprinting argues that this unusual expression pattern is a manifestation of intra-genomic conflict between the maternally- and paternally-derived halves of the genome that arises because they are not equally related to the genomes of social partners. The theory thus predicts that imprinting may evolve wherever there are close interactions among asymmetrically related kin. The social Hymenoptera with permanent caste differentiation are suitable candidates for testing the kinship theory because haplodiploid sex determination creates strong relatedness asymmetries and nursing workers interact closely with kin. However, progress in the search for imprinted genes in the social Hymenoptera has been slow, in part because tests for imprinting rely on reciprocal crosses that are impossible in most species. Here, we develop a method to systematically search for imprinting in haplodiploid social insects without crosses, using instead samples of pooled individuals collected from natural colonies. We tested this protocol using data available for the leaf-cutting ant <i>Acromyrmex echinatior</i>, providing the first genome-wide search for imprinting in any ant. While we identified several genes as potentially imprinted, none of the four genes tested could be verified as imprinted using digital droplet PCR, highlighting the need for higher quality genomic assemblies that accurately map duplicated genes.</p>
Raw mouse mammary RNA-Seq data (fastq)
<p>12 fastq files with 1000 reads each, 4 index files for chr 1 for mm10, targets files with sample information.</p> <p>References</p> <ul> <li><a href="http://www.ncbi.nlm.nih.gov/pubmed/25730472">http://www.ncbi.nlm.nih.gov/pubmed/25730472</a></li> <li><a href="http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE60450">http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE60450</a></li> <li><a href="http://hgdownload.soe.ucsc.edu/goldenPath/mm10/chromosomes/">http://hgdownload.soe.ucsc.edu/goldenPath/mm10/chromosomes/</a></li> <li><a href="http://www.ncbi.nlm.nih.gov/pubmed/20921232">http://www.ncbi.nlm.nih.gov/pubmed/20921232</a></li> <li><a href="http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE18508">http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE18508</a></li> </ul>
Sample dataset from RNA-Seq analysis of Ostreococcus tauri
<p>Sample dataset from:</p> <p>Lelandais et al. "<em>Ostreococcus tauri</em> is a new model green alga for studying iron metabolism in eukaryotic phytoplankton", <em>BMC Genomics</em> (2016).<br> DOI <a href="https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-016-2666-6">10.1186/s12864-016-2666-6</a></p>
Breast Cancer TGCA Microarray and RNA-seq Data for RNA-seq Titration Project
<p>Breast cancer from The Cancer Genome Atlas (TCGA; Cancer Genome Atlas Network, 2012) gene expression data from two platforms, microarray and RNA-seq, in PCL format and accompanying clinical data. Used as a test case for cross-platform normalization for machine learning applications because these data contain "matched" samples that were run on both platforms.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.