Cancer cell states recur across tumor types and form specific interactions with the tumor microenvironment
Single-cell RNA-seq · human · 31 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 31 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.
Read the full summary ↓
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 GSE203612_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 PRJNA841591 and SRA study SRP376652. 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.
+ 31 more — browse all 31 samples with per-sample file links →
- GSE181985 Multiple Nf1 Schwann cell populations reprogram the plexiform neurofibroma tumor microenvironment 31 samples shares microenvironment, form
- GSE253849 Human and mouse adrenal glands are characterized by species-specific steroidogenic states and tissue turnover [scRNA-seq] 22 samples shares specific, states
- GSE266117 RoCK and ROI: a single-cell RNA-sequencing method with enhanced transcriptome information via targeted enrichment of transcripts and preselected, region-specific sequencing II 4 samples shares specific, form
- GSE269031 Complex interaction of tumor-derived factors instructs the niche specific phenotypes of tumor-associated macrophages 92 samples shares specific, types
- GSE262355 Programmable transcript-specific enrichment for single-cell sequencing enables profiling of rare cell states 23 samples shares specific, states
- GSE150672 Highly Efficient, Massively-Parallel Single-Cell RNA-Seq Reveals Cellular States and Molecular Features of Human Skin Pathology 438 samples shares states
- GSE243750 SEX-DEPENDENT APOE4 NEUTROPHIL-MICROGLIA INTERACTIONS DRIVE COGNITIVE IMPAIRMENT IN ALZHEIMER'S DISEASE 288 samples shares interactions
- GSE285764 Single Alkyl Phosphonate Modification of the siRNA Backbone in the Seed Region Enhances Specificity and Therapeutic Profile 110 samples shares specific
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.