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1,514 results for “RNA-sequencing”
Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models
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Single-Cell RNA-sequencing of neural precursor cells from an Alzheimer's mouse model, wild-type mice, and Alzheimer's mice rescued with Usp16 haploinsufficiency
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RNA-sequencing dataset of land snails collected in Australia
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Integrated single-cell RNA-sequencing data of unwounded and wounded mouse skin and fibroblasts.
<p>This repository contains the .h5ad files that store the integrated scRNA-seq data we generated for the work, Almet et al. (2023), "Fibroblasts evolve in single-cell state to drive extracellular matrix and signaling changes across wound healing", to be published in the Journal of Investigative Dermatology.</p><p>The integrated* files contain both raw counts, normalized counts, as well as unspliced and spliced count estimates that were obtained using kallisto|bustools and velocyto. We integrated the data from the following published datasets:</p><ol><li><a href=" https://doi.org/10.7554/eLife.60066">Phan et al. (2021)</a>: Unwounded P21 mice and small wound P21 + 7 mice</li><li><a href="https://doi.org/10.1016/j.celrep.2020.02.091">Haensel et al. (2020)</a>: Unwounded P49 mice and small wound P49 + 4 mice</li><li><a href="https://doi.org/10.1038/s41467-018-08247-x)">Guerrero-Juarez et al. (2019)</a>: Large wound day 12 mice</li><li><a href="https://doi.org/10.1016/j.stem.2020.07.008">Abbasi et al. (2020)</a>: Large wound day 14 mice</li><li><a href="https://doi.org/10.1126/sciadv.aay3704">Gay et al. (2020)</a>: Large wound fibrotic (hairless) and regenerative (hair follicle neogenesis) day 18 mice</li></ol><p>The unwounded_* files were used to briefly integrated unwounded skin scRNA-seq from mouse models of different ages that have been used to analyze wound healing in <a href="https://doi.org/10.1016/j.celrep.2020.02.091">Haensel et al. (2020),</a> <a href=" https://doi.org/10.7554/eLife.60066">Phan et al. (2021)</a>, and <a href="https://doi.org/10.1016/j.celrep.2022.111155">Vu et al. (2022)</a>, which generated scRNA-seq for unwounded skin from mice aged P21, P49, and P616, respectively. </p><p>The data can be loaded using the Python package Scanpy or AnnData, but you can also load it in R if you use zellkonverter. </p>
Single nucleus RNA-sequencing data related to Van Hijfte et al. 2024
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Integration of single-cell RNA-sequencing data across tissues and cancer types towards immune cell characterization
<p>To better understand dendritic cell states and subtypes, we collected individual single-cell RNAseq datasets from various studies and further integrated, batch corrected, and reprocessed the data using Besca (https://github.com/bedapub/besca).</p> <p>The following files are included:<br> 1) study_table_integrated_DCs.xlsx - contains a list of studies from where the datasets were gathered.<br> 2) int_dcs.raw.h5ad - An anndata object file containing the combined raw single-cell counts for DCs from individual studies. The datasets were joined based on the union of variables.<br> 3) intersection_genes_integrated_dcs.tsv - List of genes if the datasets were joined based on the intersection of variables. These variables were used in the subsequent analyses.</p> <p>4) int_dcs.annotated.h5ad - An anndata object file containing single-cell logarithmized counts for DCs data that have been integrated and reprocessed. The rows of the file contain cells, and the columns contain highly variable genes. A sparse matrix containing the logarithmized counts from all the genes (from the intersection genes integrated dcs.tsv file) can also be found (adata.raw.X) in the object. In the observations, cell-type annotation is available at three different hierarchal levels.<br> <br> This data was further used to produce results for the publication (https://jitc.bmj.com/content/10/6/e004268) on the effects of Toll-like receptor 8 agonists on conventional DCs.</p>
An anti-influenza combined therapy assessed by single cell RNA-sequencing
<p>Figures source data for<strong> </strong>"<strong>An anti-influenza combined therapy assessed by single cell RNA-sequencing</strong>"</p> <p> </p>
Supplementary Figure S2 Pipeline for identification of lncRNA by RNA-sequencing.
<p>Supplementary Figure S2 Pipeline for identification of lncRNA by RNA-sequencing. A total of 127,671 unique assembled transcripts were produced after mapping to the reference genome. Then, we filtered out the transcripts that possessed only a single exon, as well as shorter than 200 nt, retaining 102,134 transcripts. The transcripts that overlapped with coding gene exons in the sense orientation were filtered out using Cuffcompare software. In addition, the retaining transcripts with FPKM < 0.5 were discarded. Then, the protein coding potential of each transcript was accessed using the four most widely used tools (CPC, PFAM, phyloCSF and CNCI), of which transcripts accessed by total four tools were retained.</p>
Whole genome RNA-sequencing reveals modulation of genes related to brain disorders by Withania somnifera in human neuroblastoma SK-N-SH cells
<p>Table S1: Human reference genome based differential gene expression; Figure S1: Reactome Pathway (50 μg/mL_3h vs C_3h); Figure S2: Reactome Pathway (50 μg/mL_9h vs C_9h); Figure S3: Reactome pathway (100 μg/mL_3h vs C_3h); Figure S4: GO Dose comparison; Reactome pathway (100 μg/mL_3h vs 50 μg/mL_3h); Figure S5: GO Dose comparison; Reactome pathway (100 μg/mL_9h vs 50 μg/mL_9h); Figure S6: GO Time comparison; Reactome pathway (50 μg/mL_9h vs 50 μg/mL_3h); Figure S7: GO Time comparison; Reactome pathway (100 μg/mL_9h vs 100 μg/mL_3h); Table S2: Disease ontology analysis of 100 μg/mL_3h vs 50 μg/mL_3h WS-treated SK-N-SH cells; Table S3: Disease ontology analysis of 100 μg/mL_9h vs 50 μg/mL_9h WS-treated SK-N-SH cells; Table S4: Disease ontology analysis of 100 μg/mL_9h vs 100 μg/mL_3h WS-treated SK-N-SH cells.</p>
Single-nucleus RNA-sequencing reveals oligodendrocytes and their progenitors as vulnerable cell types in prefrontal cortex and anterior cingulate of brains with Parkinson's disease
<p>Several prior studies have proposed the involvement of various brain regions and cell types in Parkinson's disease (PD) pathology. Here, we performed snRNA-seq on the prefrontal cortex and anterior cingulate regions from post-mortem control and PD brain tissue. We found a dramatic association of oligodendrocytes and oligodendrocyte precursor cells with PD-linked risk loci and reported several dysregulated genes and pathways, including regulation of tau-protein kinase activity, regulation of inclusion body assembly and protein processing involved in protein targeting to mitochondria.</p>
Processed Single-cell RNA-sequencing data from adult recurrent respiratory papillomatosis
<p>.rds file (read in R) that contains processed single-cell RNA-sequencing data from 13 untreated adult recurrent respiratory papillomatosis clinical samples. The associated raw RNA sequencing data is available through The Database of Genotypes and Phenotypes (dbGaP), accession number phs003349.v1.p1. Sequences were also alsigned to a, HPV reference to allow quantification of HPV 6 or 11 gene expression. </p>
Single-nucleus RNA-sequencing in pre-cellularization Drosophila melanogaster embryos
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RNA-sequencing endometrium intact, vasectomized, and control heifers
<p>An appropriate female reproductive environment is essential for pregnancy success. In several species, including mice, pigs and horses, seminal plasma (SP) components have been shown to modulate this environment, leading to increased embryo viability and implantation. Due to the characteristics of mating in the aforementioned species, SP comes into direct contact with the uterus. However, it is questionable whether any SP reaches the uterus in species that ejaculate inside the vagina, such as humans and cattle. Hence, we hypothesized that sperm, perhaps acting as a vehicle for SP factors, play a more important role in the modulation of the maternal uterine environment in these species. In addition, changes elicited by SP and/or sperm may originate in the vagina and propagate to more distal regions of the female reproductive tract. To test these hypotheses, a bovine model in which heifers were mated to intact or vasectomized bulls or were left unmated was used. RNA-sequencing of endometrial samples collected 24 h after mating with a vasectomized bull did not reveal any differentially expressed genes (DEGs) in comparison with control samples. However, the endometrium of heifers mated with intact bulls exhibited 24 DEGs when compared to heifers mated with vasectomized bulls, and 22 DEGs when compared to unmated control heifers. The expression of a set of cytokines (<em>IL6</em>, <em>IL1A</em>, <em>IL8</em>, and <em>TNFA</em>) and candidate genes identified in the endometrial RNA-sequencing (<em>PLA2G10</em>, <em>CX3CL1</em>, <em>C4BPA</em>, <em>PRSS2</em>, <em>BLA-DQB</em>, and <em>CEBPD</em>) were assessed by RT-qPCR in the vagina and oviductal ampulla. No differences in expression of these genes were observed between treatments in any region. However, mating to both intact and vasectomized bulls induced an increase in IL1A and TNFA expression in the vagina compared to the oviduct. These data indicate that sperm, but not secretions from the accessory glands alone, induce modest changes in endometrial gene expression after natural mating in cattle. However, it is not clear whether this effect is triggered by inherent sperm proteins or SP proteins bound to sperm surface at the time of ejaculation.</p>
A systematic evaluation of highly variable gene selection methods for single-cell RNA-sequencing
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RNA-sequencing reveals strong predominance of THRA splicing isoform 2 in the developing and adult human brain
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Analysis of Public Short-Read RNA-Sequencing Data: PRJNA543316
<p><strong><span>PRJNA543316</span></strong></p> <p><span>Metformin is a front-line drug in the treatment of type-2 diabetes mellitus (T2DM). In addition to its antigluconeogenic and insulin-sensitizing properties, it has emerged as a potent inhibitor of the inflammatory response of macrophages. Specifically, metformin has been shown to reduce transcript levels of Il1b, the gene encoding the pro-inflammatory cytokine interleukin (IL)-1b, during long-term exposure of macrophages to the bacterial cell-wall component lipopolysaccharide (LPS). However, the extent to which metformin affects the early transcriptional response to LPS has never been investigated. Here, we show that metformin affects transcript levels of a large yet selective subset of LPS-responsive genes after only two hours of LPS exposure, mostly counteracting the effect of LPS rather than enhancing it. The affected genes are implicated in a variety of biological functions, in particular cellular movement and trafficking. Intriguingly, metformin affects transcript levels of Il1b at this early time point as well, but through a molecular mechanism fundamentally different from the regulation observed after longer exposure. While down-regulation of Il1b by metformin during the late stages of the LPS response has been shown to rely on stabilization of hypoxia-inducible factor (HIF)-1α and production of IL-10, Il1b inhibition at the early stage requires AMP-activated protein kinase (AMPK) activation but is independent of HIF-1α and IL-10. These results reveal an unexpected complexity in the anti-inflammatory properties of metformin and demonstrate that Il1b is down-regulated by distinct mechanisms in the early and late stages of the LPS response. Overall design: Bone-marrow-derived macrophages from WT C57Bl/6 mice were either left untreated, stimulated with 100 ng/ml LPS for 2 h or pretreated with 5 mM metformin for 6 h and then stimulated with 100 ng/ml LPS for 2 h.</span></p> <p><span>Pipeline: FastQ -> FastQC -> fastp -> STAR -> samtools -> multiQC</span></p>
RNA-sequencing endometrium intact, vasectomized, and control heifers
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Characterization of Diabetic and Non-Diabetic Foot Ulcers Using Single-Cell RNA-Sequencing
GEO Series GSE248247. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
RNA-sequencing analysis to investigate genes regulated by CASZ1 in SK-N-AS (AS) cells.
GEO Series GSE182872. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
RNA-sequencing of GFP+ cells 2 days post-transduction of LSK cells with Scr or miR-99 KD lentiviral vectors
GEO Series GSE101902. Mus musculus. 5 samples. Type: Expression profiling by high throughput sequencing.
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Allen Brain Atlas
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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.
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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.
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