Multiple subpopulations in medullary thymic epithelial cells are regulated by Aire with distinctive modes of gene regulations [bulkRNA-seq]
Single-cell RNA-seq · mouse · 47 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
- Mus musculus (mouse)
- Samples
- 47 samples: 44 distinct titles, 2 of them repeatedGroups 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
- Role of PRC2 in the stochastic expression of Aire target genes and development of mimetic cells in the thymusThe Journal of experimental medicine · 2025
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 GSE205410_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 PRJNA844982 and SRA study SRP378239. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 47 sample titles: 44 distinct titles with little repetition. 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.
- GSM6211545 mTEClo, neonate, Ctrl, rep1 [EED_1]
- GSM6211546 mTEClo, neonate, Ctrl, rep2 [EED_2]
- GSM6211547 mTEClo, neonate, Ctrl, rep3 [EED_3]
- GSM6211548 mTEClo, neonate, EEDcKO, rep1 [EED_4]
- GSM6211549 mTEClo, neonate, EEDcKO, rep2 [EED_5]
- GSM6211550 mTEChi, neonate, Ctrl, rep1 [EED_6]
- GSM6211551 mTEChi, neonate, Ctrl, rep2 [EED_7]
- GSM6211552 mTEChi, neonate, Ctrl, rep3 [EED_8]
- GSM6211553 mTEChi, neonate, Ctrl, rep4 [EED_9]
- GSM6211554 mTEChi, neonate, Ctrl, rep5 [EED_10]
- GSM6211555 mTEChi, neonate, EEDcKO, rep1 [EED_11]
- GSM6211556 mTEChi, neonate, EEDcKO, rep2 [EED_12]
- GSM6211557 mTEChi, neonate, EEDcKO, rep3 [EED_13]
- GSM6211558 mTEChi, neonate, AireKO, rep1 [EED_14]
- GSM6211559 mTEChi, neonate, AireKO, rep2 [EED_15]
- GSM6211560 mTEChi, neonate, AireEEDdKO, rep1 [EED_16]
- GSM6211561 mTEChi, neonate, AireEEDdKO, rep2 [EED_17]
- GSM6211562 mTEChi, neonate, AireKO, rep3 [EED_18]
- GSM6211563 mTEChi, neonate, AireEEDdKO, rep3 [EED_19]
- GSM6211564 mTEClo, WT, rep1 [Aire_1]
- GSM6211565 mTEClo, WT, rep2 [Aire_2]
- GSM6211566 mTEClo, WT, rep3 [Aire_3]
- GSM6211567 mTEClo, WT, rep4 [Aire_4]
- GSM6211568 mTEClo, WT, rep5 [Aire_5]
- GSM6211569 mTEClo, WT, rep6 [Aire_6]
- GSM6211570 mTEClo, WT, rep7 [Aire_7]
- GSM6211571 mTEClo, WT, rep8 [Aire_8]
- GSM6211572 mTEClo, AireKO, rep1 [Aire_9]
- GSM6211573 mTEClo, AireKO, rep2 [Aire_10]
- GSM6211574 mTEClo, AireKO, rep3 [Aire_11]
- GSM6211575 mTEClo, AireKO, rep4 [Aire_12]
- GSM6211576 mTEChi, WT, rep1 [Aire_13]
- GSM6211577 mTEChi, WT, rep2 [Aire_14]
- GSM6211578 mTEChi, WT, rep3 [Aire_15]
- GSM6211579 mTEChi, WT, rep4 [Aire_16]
- GSM6211580 mTEChi, WT, rep5 [Aire_17]
- GSM6211581 mTEChi, WT, rep6 [Aire_18]
- GSM6211582 mTEChi, WT, rep7 [Aire_19]
- GSM6211583 mTEChi, AireKO, rep1 [Aire_20]
- GSM6211584 mTEChi, AireKO, rep2 [Aire_21]
+ 7 more — browse all 47 samples with per-sample file links →
- GSE205991 Multiple subpopulations in medullary thymic epithelial cells are regulated by Aire with distinctive modes of gene regulations [deep single-cell RNA-seq] 2148 samples shares subpopulations, distinctive, regulations, epithelial, medullary, multiple, thymic
- GSE205411 Multiple subpopulations in medullary thymic epithelial cells are regulated by Aire with distinctive modes of gene regulations 2219 samples shares subpopulations, distinctive, regulations, epithelial, medullary, multiple, thymic
- GSE206236 Multiple subpopulations in medullary thymic epithelial cells are regulated by Aire with distinctive modes of gene regulations [CUT&Tag] 16 samples shares subpopulations, distinctive, regulations, epithelial, medullary, multiple, thymic
- GSE205560 Multiple subpopulations in medullary thymic epithelial cells are regulated by Aire with distinctive modes of gene regulations [scRNA-Seq and scATAC-Seq] 8 samples shares subpopulations, distinctive, regulations, epithelial, medullary, multiple, thymic
- GSE269505 The interleukin 22–oncostatin M axis promotes intestinal inflammation and tumorigenesis [Epithelial_cells_BulkRNA-seq] 9 samples shares bulkrna-seq, epithelial
- GSE20402 Mouse mammary epithelial cell subpopulations from pregnant and virgin mice 14 samples shares subpopulations, epithelial
- GSE20401 Mammary epithelial cell subpopulations from control and ovariectomized mice 12 samples shares subpopulations, epithelial
- GSE289335 TRIM37 interacts with TRIM28 to maintain primordial germ cell identity during migration [bulkRNA-seq, scRNA-seq] 127 samples shares bulkrna-seq
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.