Gene expression profile at single cell level of iPSC-derived and primary thymic epithelial cells (TECs)
Single-cell RNA-seq · human · 16 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
- 16 samples: 6 conditions, mostly in duplicateGroups are read from the sample names, not from the paper. Check the list below.
- 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
- An iPSC-based in vitro model recapitulates human thymic epithelial development and multi-lineage specificationNature communications · 2025
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 GSE275981_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 PRJNA1154010 and SRA study SRP529433. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 14 samples.
How we read this: 6 replicated groups read from 16 sample titles; they account for 14 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8488923 TECs, primary, donor 1 TECs, primary, dono
- GSM8488924 TECs, primary, donor 2 TECs, primary, dono
- GSM8488925 TECs, primary, donor 3 TECs, primary, dono
- GSM8488926 AFE, iPSC-derived, day 7 AFE, iPSC-derived, day
- GSM8488927 AFE, iPSC-derived, day 11 AFE, iPSC-derived, day
- GSM8488928 PE, iPSC-derived, day 18
- GSM8488929 TEPs, iPSC-derived, day 28 TEPs, iPSC-derived, day
- GSM8488930 TEPs, iPSC-derived, day 38, biological replicate 1 TEPs, iPSC-derived, day…
- GSM8488931 TEPs, iPSC-derived, day 38, biological replicate 2 TEPs, iPSC-derived, day…
- GSM8488932 TEPs, iPSC-derived, day 49 TEPs, iPSC-derived, day
- GSM8488933 TEPs, iPSC-derived, day 63 TEPs, iPSC-derived, day
- GSM8488934 TECs, iPSC-derived, day 81, biological replicate 1 TECs, iPSC-derived, day…
- GSM8488935 TECs, iPSC-derived, day 81, biological replicate 2 TECs, iPSC-derived, day…
- GSM8488936 TECs, iPSC-derived, day 98 TECs, iPSC-derived, day
- GSM8488937 TECs, iPSC-derived, day 133 TECs, iPSC-derived, day
- GSM8837315 TECs, iPSC-derived, thymocyte co-culture
- GSE217649 Bulk RNA sequencing for gene expression profileing of primary liver sinusoidal endothelial cells and iPSC-derived hepatic endoderm, septum mesenchymal cells, endothelial cells, and liver bud organoids 26 samples shares ipsc-derived, primary
- GSE303064 Gene expression profile at single cell level of primary and relapse mantle cell lymphoma (MCL) 20 samples shares primary, level
- GSE205154 Bulk RNA-Seq gene expression data for 289 primary and metastatic pancreatic ductal adenocarcinoma (PDAC) tumor samples from FFPE blocks. 289 samples shares primary
- GSE294300 Single-cell gene expression profiles of cells from primary colorectal cancer and adjacent normal tissue [scRNA-Seq] 36 samples shares primary
- GSE292059 Inflammatory Epithelial and Macrophage Pathways Underlie Residual Asthma Exacerbations in Urban Children Treated with Mepolizumab 965 samples shares epithelial
- GSE314342 Genome-scale perturb-seq in primary human CD4+ T cells reveals genes regulating T cell programs and human immune traits. 577 samples shares primary
- GSE316391 Chromatin accessibility and gene expression profiling of primary and metastatic ER+ breast cancer [RNA-seq] 32 samples shares primary
- GSE297742 Bulk RNA-seq of primary tumor biopsy samples from prostate adenocarcinoma patients 234 samples shares primary
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.