A unified workflow to define multipotent progenitor hierarchies
RNA-seq (gene expression) · mouse · 418 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 418 samples: 7 conditions, mostly with about 37 replicates eachGroups 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.
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 GSE266609_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1107949 and SRA study SRP505551. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 337 samples.
How we read this: 7 replicated groups read from the first 400 of 418 sample titles; they account for 337 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.
- GSM8248839 cKit+CD127+ cell 49 cKit+CD127+ cell
- GSM8248840 cKit+CD127+ cell 50 cKit+CD127+ cell
- GSM8248841 cKit+CD127+ cell 51 cKit+CD127+ cell
- GSM8248842 cKit+CD127+ cell 52 cKit+CD127+ cell
- GSM8248843 cKit+CD127+ cell 53 cKit+CD127+ cell
- GSM8248844 cKit+CD127+ cell 54 cKit+CD127+ cell
- GSM8248845 cKit+CD127+ cell 55 cKit+CD127+ cell
- GSM8248846 cKit+CD127+ cell 56 cKit+CD127+ cell
- GSM8248847 cKit+CD127+ cell 57 cKit+CD127+ cell
- GSM8248848 cKit+CD127+ cell 58 cKit+CD127+ cell
- GSM8248849 cKit+CD127+ cell 59 cKit+CD127+ cell
- GSM8248850 cKit+CD127+ cell 60 cKit+CD127+ cell
- GSM8248851 cKit+CD127+ cell 61 cKit+CD127+ cell
- GSM8248852 cKit+CD127+ cell 62 cKit+CD127+ cell
- GSM8248853 cKit+CD127+ cell 63 cKit+CD127+ cell
- GSM8248854 cKit+CD127+ cell 64 cKit+CD127+ cell
- GSM8248855 cKit+CD127+ cell 65 cKit+CD127+ cell
- GSM8248856 cKit+CD127+ cell 66 cKit+CD127+ cell
- GSM8248857 cKit+CD127+ cell 67 cKit+CD127+ cell
- GSM8248858 cKit+CD127+ cell 68 cKit+CD127+ cell
- GSM8248859 cKit+CD127+ cell 69 cKit+CD127+ cell
- GSM8248860 cKit+CD127+ cell 70 cKit+CD127+ cell
- GSM8248861 cKit+CD127+ cell 71 cKit+CD127+ cell
- GSM8248862 cKit+CD127+ cell 72 cKit+CD127+ cell
- GSM8248863 cKit+CD127+ cell 73 cKit+CD127+ cell
- GSM8248864 cKit+CD127+ cell 74 cKit+CD127+ cell
- GSM8248865 cKit+CD127+ cell 75 cKit+CD127+ cell
- GSM8248866 cKit+CD127+ cell 76 cKit+CD127+ cell
- GSM8248867 cKit+CD127+ cell 77 cKit+CD127+ cell
- GSM8248868 cKit+CD127+ cell 78 cKit+CD127+ cell
- GSM8248869 cKit+CD127+ cell 79 cKit+CD127+ cell
- GSM8248870 cKit+CD127+ cell 80 cKit+CD127+ cell
- GSM8248871 cKit+CD127+ cell 81 cKit+CD127+ cell
- GSM8248872 cKit+CD127+ cell 82 cKit+CD127+ cell
- GSM8248873 cKit+CD127+ cell 83 cKit+CD127+ cell
- GSM8248874 cKit+CD127+ cell 84 cKit+CD127+ cell
- GSM8248875 cKit+CD127+ cell 85 cKit+CD127+ cell
- GSM8248876 cKit+CD127+ cell 86 cKit+CD127+ cell
- GSM8248877 cKit+CD127+ cell 87 cKit+CD127+ cell
- GSM8248878 cKit+CD127+ cell 88 cKit+CD127+ cell
+ 378 more — browse all 418 samples with per-sample file links →
- GSE266524 A unified workflow to define multipotent progenitor hierarchies (TEA-Seq) 12 samples shares multipotent, hierarchies, progenitor, workflow, unified, define
- GSE272588 Multipotent progenitors with distinct origins, clonal lineage fates, transcriptomes, and surface markers yield two hematopoietic trees 605 samples shares multipotent, progenitor
- GSE317231 Bcl11a orchestrates multilineage integrity in aging hematopoiesis by regulating multipotent progenitor fate decisions 30 samples shares multipotent, progenitor
- GSE309574 Transcriptional profiling defines unique subtypes of transit amplifying neural progenitors within the neonatal mouse subventricular zone 20 samples shares progenitor, define
- GSE316942 Bcl11a orchestrates multilineage integrity in aging hematopoiesis by regulating multipotent progenitor fate decisions [CUT&Tag] 16 samples shares multipotent, progenitor
- GSE324687 Eomes sustains progenitor CD4⁺ T helper cells to promote anti-tumor immunity during immunotherapy [scRNA] 16 samples shares progenitor
- GSE273079 Castration Increases Aggressiveness of Prostatic Luminal Progenitor Cells in Prostate Cancer Through FosL1/AP-1-Mediated Transcriptional Reprogramming 384 samples shares progenitor
- GSE196340 The Aryl Hydrocarbon Receptor Directs the Differentiation of Progenitor Blastomeres 336 samples shares progenitor
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.