Secretion encoded single-cell sequencing (SEC-seq) uncovers gene expression signatures associated with high VEGF-A secretion in mesenchymal stromal cells
Single-cell RNA-seq · human · 13 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 13 samples
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE223550_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA926688 and SRA study SRP418778. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 13 more — browse all 13 samples with per-sample file links →
- GSE281902 Periosteum Signatures of Delayed Fracture Healing in Type 2 Diabetes at Single-Cell Resolution 5 samples shares single-cell, signatures
- GSE135798 VEGF-A drives TOX-dependent T cell exhaustion in anti–PD-1–resistant microsatellite stable colorectal cancers 10 samples shares vegf-a
- GSE246318 Decoding the immune checkpoint signatures in human atherosclerosis: implications of type 2 diabetes and lipid-lowering intervention 49 samples shares signatures
- GSE44183 Genetic Programs in Human and Mouse Early Embryos Revealed by Single-Cell RNA-Sequencing 47 samples shares single-cell
- GSE270292 A convenient single-cell newly synthesized transcriptome assay reveals FLI1 regulon downregulation during T-cell activation 33 samples shares single-cell
- GSE242821 Atf3 controls transitioning in female mitochondrial cardiomyopathy as identified by single-cell transcriptomics 26 samples shares single-cell
- GSE300551 Massively multiplex multi-modal chemical screens at single-cell resolution with icCITE-plex 25 samples shares single-cell
- GSE268646 Functional phenotyping of genomic variants using joint multiomic single-cell DNA-RNA sequencing 17 samples shares single-cell
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.