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A unified workflow to define multipotent progenitor hierarchies (TEA-Seq)

GSE266524 Mus musculus (mouse) Other 12 samples Submitted 2025/10/21 Platform GPL24247
At a glance

mouse · 12 samples

Organism
Mus musculus (mouse)
Samples
12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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.
Summary (written by the submitters)
Multipotent hematopoietic progenitors with coherent developmental transcriptional programs are defined by their ability to give rise to distinct cell lineages. While the identification of multilineage progenitors is aided by single-cell technologies, new techniques are required for their rigorous delineation and isolation. We describe a new approach to dissect and contrast well-defined and newly proposed immunophenotypically defined hematopoietic progenitors using integrative multimodal single-cell genomics and linked high-dimensional flow cytometry.
Read the full summary ↓
The lineage potential of implicated multi-lineage progenitors could be resolved through their sequential isolation, lineage tracing, genetic reporters, in vitro differentiation and gene-regulatory prediction analyses. These analyses implicate coordinated transcription factors operating on composite elements for distinct multilineage cell states. A newly identified precursor of the neutrophil-monocytic bipotential (MultiLin-1) was confirmed to be transcriptionally reprogrammed by Th2 cytokines following infection, to produce the successive waves of neutrophils, basophils and eosinophils. This work supports a stepwise model of hematopoiesis in which lineage transitions occur as discrete, isolatable cell states.
This dataset
Download · which file do I need?

Direct links to NCBI, 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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE266524_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Also filed as BioProject PRJNA1107507. Searching any of these in the dataset finder brings you back here.

Study design
12 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 12 sample titles: 12 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.

Samples in this study
Datasets on a similar topic

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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.