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Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
894
datasets available to search
ShareScore release 0.9.0
Dataset results
894 results for “Single-cell RNA-seq”
SAKE (Single-cell RNA-Seq Analysis and Klustering Evaluation) Identifies Markers of Resistance to Targeted BRAF Inhibitors in Melanoma Cell Populations [Fluidiam scRNA-Seq]
GEO Series GSE108383. Homo sapiens. 327 samples. Type: Expression profiling by high throughput sequencing.
GCGR Loss-of-Function Mutations Promote Amino Acid-Dependent Pancreatic Neuroendocrine Tumor Initiation from a Subpopulation of Alpha Cells [single-cell RNA-seq]
GEO Series GSE142233. Mus musculus. 5 samples. Type: Expression profiling by high throughput sequencing.
Single-cell RNA-seq reveals the transcriptional landscape in ischemic stroke
GEO Series GSE174574. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Single-cell RNA-seq of mouse embryoid body cells, day 3 to day 7. Includes wild type and Tet TKO.
GEO Series GSE133689. Mus musculus. 960 samples. Type: Expression profiling by high throughput sequencing.
Single-cell RNA-seq analysis reveals two specific endothelial cells promote fracture healing
GEO Series GSE132884. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Seq-Well: A portable, low-cost platform for single-cell RNA-seq of low-input samples
GEO Series GSE92495. Homo sapiens; Mus musculus. 7 samples. Type: Expression profiling by high throughput sequencing.
Single-cell RNA-seq analysis of human plasma cell differentiation
GEO Series GSE242330. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
Single-Cell Profiling of Zebrafish Retinal Ganglion Cells Reveal an Injury Response Mediated by Cell Dedifferentiation and Leukocytes [RNA-Seq]
GEO Series GSE284728. Danio rerio. 18 samples. Type: Expression profiling by high throughput sequencing.
The Human Testis Cell Atlas via Single-cell RNA-seq (Healthy men scRNA-seq data set)
GEO Series GSE112013. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Single-cell RNA-seq of sort human lung explants from IPF and SSc-ILD patients
GEO Series GSE159354. Homo sapiens. 48 samples. Type: Expression profiling by high throughput sequencing.
Single-cell RNA-seq in AT2 cell-ablated mouse lungs
GEO Series GSE173878. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Becoming LTi - Dataset : Single-cell RNA-seq of Embryo Fetal Liver tissue at stage 14.5 days
<p><strong>Dataset from article</strong> : Distinct waves from the hemogenic endothelium give rise to layered Lymphoid Tissue Inducer cell ontogeny</p> <p><strong>Summary:</strong> During embryogenesis Lymphoid Tissue Inducer (LTi) cells are essential for lymph node organogenesis. These cells are part of the Innate Lymphoid Cell (ILC) family. Although their earliest embryonic hematopoietic origin is unclear, other innate immune cells were shown to be derived from both early hemogenic endothelium in the yolk-sac as well as the aorta-gonad-mesonephros. A proper model to discriminate between these locations was unavailable. In this study, using a new Cxcr4-CreERT2 lineage tracing model, we identify a major contribution from embryonic hemogenic endothelium, but not yolk-sac, towards the LTi progenitors. Conversely, embryonic LTi cells are replaced by hematopoietic stem cell derived cells in adult. We further show that within the fetal liver common lymphoid progenitors differentiate into highly dynamic alpha-lymphoid precursor cells, which at this embryonic stage preferentially mature into LTi precursors and establish their functional LTi cell identity only after reaching the periphery.</p> <p><strong>Data </strong>:</p> <p>1. SPlab_BecomingLTi_Stage14.5_FetalLiver_00_RawData : Single-cell RNA-seq data for Mouse Embryo Fetal Liver at stage 14.5. It contains the full output of CellRanger count (v3) analysis.</p>
Augment Single-cell RNA-seq data with Surface Protein Levels using Gene set-based Deep Learning and Transfer Learning Methods
<p><span>Necessary data, scripts and saved models for "Augment Single-cell RNA-seq data with Surface Protein Levels using Gene set-based Deep Learning and Transfer Learning Methods" manuscript.</span></p>
Example single-cell RNA-Seq dataset for 15K peripheral blood T-cells
<p>This dataset is derived from https://zenodo.org/records/6120249 by first subsetting cells clustered as T-cells and then downsampling to 15,000 cells. We also converted it into SEURAT format in the .rds file for a tutorial on how to run starCAT from data in R. We did not generate this dataset and don't claim any rights to it.</p>
Single-Cell RNA-seq Uncovers Dynamic Processes Orchestrated by RNA-Binding Protein DDX43 in Chromatin Remodeling during Spermiogenesis
<p>All datasets include analyzed scRNA-seq, peak files called from eCLIP-seq datasets, and spliced/unspliced readouts of single cell.</p>
DSSC: Deconvolution from Bulk Gene Expression by Leveraging Similarity and Single-cell RNA-Seq Data
<p>Datasets used to test the ability of DSSC on cell type deconvolution from bulk gene expression, including pseudo-bulk data generated from intra-dataset and inter-dataset simulations, mixture data, and real experimental data. For the mixture and real experimental data, the original data is also provided. </p>
Deciphering the Transcriptomic Landscape of Type 2 Diabetes: Insights from Bulk RNA Sequencing and Single-Cell Analysis [RNA-seq]
GEO Series GSE280402. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Identification of genes associated with bortezomib-based treatment in multiple myeloma patients through bone marrow single-cell RNA-Seq
GEO Series GSE189460. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
Accurate long-read transcript discovery and quantification at single-cell resolution with Isosceles [RNA-seq]
GEO Series GSE248114. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing.
A reference single-cell regulomic and transcriptomic map of cynomolgus monkeys [RNA-seq]
GEO Series GSE196792. Macaca fascicularis. 20 samples. Type: Expression profiling by high throughput sequencing.
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.