Single cell analysis uncovers striking cellular heterogeneity of lung infiltrating Tregs during steroid-responsive vs. steroid-resistant allergic airway inflammation
Single-cell RNA-seq · mouse · 2 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 2 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.
- Paper
- Single-Cell Analysis Uncovers Striking Cellular Heterogeneity of Lung-Infiltrating Regulatory T Cells during Eosinophilic versus Neutrophilic Allergic Airway InflammationJournal of immunology (Baltimore, Md. : 1950) · 2024
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 GSE243653_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 PRJNA1019336 and SRA study SRP462052. 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.
+ 2 more — browse all 2 samples with per-sample file links →
- GSE241206 Vascular and perivascular cell profiling reveals the molecular and cellular bases of blood-brain barrier heterogeneity 105 samples shares heterogeneity, cellular
- GSE241199 Vascular and perivascular cell profiling reveals the molecular and cellular bases of blood-brain barrier heterogeneity [GEOMx] 53 samples shares heterogeneity, cellular
- GSE160519 Vascular and perivascular cell profiling reveals the molecular and cellular bases of blood-brain barrier heterogeneity [scRNA-Seq] 52 samples shares heterogeneity, cellular
- GSE271243 Berberine protects against hepatocellular carcinoma progression by regulating intrahepatic T cell heterogeneity 18 samples shares heterogeneity, cellular
- GSE271709 The Alb-R26Met liver cancer mouse model recapitulates molecular features and heterogeneity of hepatocellular carcinoma patients 18 samples shares heterogeneity, cellular
- GSE324432 A novel sorting method uncovers metabolic heterogeneity between mononucleated and binucleated tetraploid hepatocytes 15 samples shares heterogeneity, uncovers
- GSE267714 A 3D Self-Assembly Platform Integrating Decellularized Matrix Recapitulates In Vivo Tumor Phenotypes and Heterogeneity 4 samples shares heterogeneity, cellular
- GSE302862 Divergent cytokine and transcriptional signatures control functional T follicular helper cell heterogeneity (RNAseq) 104 samples shares heterogeneity
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.