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894
datasets available to search
ShareScore release 0.9.0
Dataset results
894 results for “Single-cell RNA-seq”
Single-cell RNA-seq of RANKL treated mouse intestinal organoids
GEO Series GSE228620. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Single-Cell RNA-Seq Reveals Dynamic Early Embryonic-like Programs during Chemical Reprogramming
GEO Series GSE114952. Mus musculus. 30 samples. Type: Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing.
Single-cell RNA-seq reveals that lack of cell-to-cell communication impairs p53 activation
GEO Series GSE298355. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing.
Single-cell RNA-seq analysis of immune microenvironment changes in pancreatic cancer following combined EZH2 and KRAS inhibition
GEO Series GSE315131. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing.
Single-cell RNA-seq and chromatin accessibility profiling decipher mouse gd T cell heterogeneity in peripheral lymph nodes, spleen and thymus
GEO Series GSE179422. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Single-cell RNA-seq of alveolar myofibroblasts and other clusters
GEO Series GSE248726. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
Tcf21 functions as a rate-limiting factor during visceral adipose tissue development [single-cell RNA-seq]
GEO Series GSE196567. Mus musculus. 5 samples. Type: Expression profiling by high throughput sequencing.
Mycn regulates intestinal development through ribosomal biogenesis in a zebrafish model of Feingold syndrome 1 [single-cell RNA-seq]
GEO Series GSE191002. Danio rerio. 2 samples. Type: Expression profiling by high throughput sequencing.
Single-cell RNA-seq of traumatic brain injury samples
GEO Series GSE182398. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Single-Cell RNA-seq Data from Moauro et al 2023
<p>These experiments are described in the paper: </p> <p><strong>OCT4 is expressed in extraembryonic endoderm stem (XEN) cell progenitors during somatic cell reprogramming</strong></p> <p>Alexandra Moauro, Stephanie L. Hickey, Michael A. Halbisen, Anthony Parenti, and Amy Ralston*</p> <p>*Correspondence: aralston@msu.edu</p> <p>All code and results files can be found at <a href="https://github.com/slepphickey/scRNA_seq_Moauro_et_al_2023 ">https://github.com/slepphickey/scRNA_seq_Moauro_et_al_2023 </a></p> <p><strong>Files:</strong></p> <ul> <li><strong>`matrix.tsv.gz`</strong>: Each element of the matrix is the number of UMIs associated with a feature (row) and a detected cell-associated barcode (column) from the cellranger output for the 17 day MEF reprogramming scRNA-seq data.</li> <li><strong>`barcodes.tsv.gz`</strong>: detected cell-associated barcodes from the cellranger output for the 17 day MEF reprogramming scRNA-seq data. </li> <li><strong>features.tsv.gz`</strong>: genes from the cellranger output for the 17 day MEF reprogramming scRNA-seq data. </li> <li><strong>`Day17_Reprogramming_scRNA_seq_QC_filtered_SeuratObject.Rdata`</strong>: a Seurat object containing the filtered UMI count data, normalized count data, and cluster assignments from all cells.</li> <li><strong>`Day17_Reprogramming_scRNA_seq_Pou5f1_expressing_QC_filtered_SeuratObject.Rdata`</strong>: a Seurat object containing the filtered UMI count data, normalized count data, and cluster assignments from Pou5f1 expressing cells.</li> <li><strong>`Day17_Reprogramming_scRNA_seq_Sox2_expressing_QC_filtered_SeuratObject.Rdata`</strong>: a Seurat object containing the filtered UMI count data, normalized count data, and cluster assignments from Sox2 expressing cells.</li> <li><strong>`Mohammed_seurat.rdata`: </strong>a Seurat object containing the filtered UMI count data, normalized count data, and cluster assignments from <a href="http://www.sciencedirect.com/science/article/pii/S2211124717309610"><em>Single-Cell Landscape of Transcriptional Heterogeneity and Cell Fate Decisions during Mouse Early Gastrulation, Mohammed et al. 201</em>7</a> (<a href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE100597">GSE100597</a>).</li> <li><strong>`Mohammed2017_TabS1_set_table.Rdata` </strong>: Mohammed et al. cluster enriched genes copied from <a href="https://ars.els-cdn.com/content/image/1-s2.0-S2211124717309610-mmc2.xlsx">Table S1 </a>-- tab: `SC3 Cluster specific genes` -- Columns: `Enriched genes by SC3 clustering for each lineage (All genes)`</li> <li><strong>`GSE69321_Non-normalized_data.txt.gz`: </strong>Raw Illumina beadarray data from Wamaitha et. al., 2015, <em><a href="https://genesdev.cshlp.org/content/29/12/1239.long#sec-9">Gata6 potently initiates reprograming of pluripotent and differentiated cells to extraembryonic endoderm stem cells</a>,</em> Genes & Dev. 2015. 29: 1239-1255, doi:10.1101/gad.257071.11. (<a href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE69323">GSE69321</a>).</li> <li><strong>`probe_raw.txt`</strong>: `GSE69321_Non-normalized_data.txt.gz` filtered for mESC and eXEN data.</li> </ul>
Single-cell RNA-seq of control and Sendai virus-infected mouse lungs [1wk/7wk timepoint]
GEO Series GSE180950. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Single-cell transcriptomics revealed molecular vulnerability in a human midbrain-like organoid model of Parkinson's Disease [RNA-Seq]
GEO Series GSE271115. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing.
Distant antimetastatic effect of enterotropic colon cancer-derived α4β7 CD8 T cells [3' single-cell RNA-seq]
GEO Series GSE193593. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Robust Augmenting Single-cell RNA-seq with Surface Protein Levels using Geneset Deep Learning and Transfer Learning
<p>This package contains all the code necessary to reproduce results in article submitted to Genes titled " Robust Augmenting Single-cell RNA-seq with Surface Protein Levels using Geneset Deep Learning and Transfer Learning"</p> <p> </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.