← BioTransfer GEO Dataset Finder
GEO series

Global transcriptomic comparisons between fetal liver and bone marrow definitive erythropoiesis

GSE269127 Mus musculus (mouse) RNA-seq (gene expression) 36 samples Submitted 2024/06/11 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 36 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
36 samples: 36 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; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Global Transcriptomic and Characteristics Comparisons between Mouse Fetal Liver and Bone Marrow Definitive ErythropoiesisCells · 2024
Summary (written by the submitters)
Erythropoiesis occurs first in the yolk sac as a transit “primitive” form, then is gradually re-placed by the “definitive” form in the fetal liver (FL) during fetal development and in the bone marrow (BM) postnatal. While it is well known that differences exist between primitive and de-finitive erythropoiesis, the similarities and differences between FL and BM definitive erythropoi-esis have not been studied.
Read the full summary ↓
Here we performed comprehensive comparisons of erythroid progen-itors and precursors at all maturational stages sorted from E16.5 FL and adult BM. Transcriptome comparison revealed that genes with increased expression in FL BFU-E were en-riched in cell division. Interestingly, the expression levels of glucocorticoid receptor Nr3c1, Myc and Myc downstream target Ccna2, were significantly higher in FL BFU-E, indicating the role of Nr3c1-Myc-Ccna2 axis in the enhanced proliferation/cell division of FL BFU-E cells. At the CFU-E stage, the expression of genes associated with hemoglobin biosynthesis were much higher in FL CFU-E, indicating more hemoglobin production. During terminal erythropoiesis, overall temporal patterns in gene expression were conserved between FL and BM. While biological pro-cesses related to translation, TCA and hypoxia response were upregulated in FL erythroblasts, that related to antiviral signal pathway were upregulated in BM erythroblasts. Our findings un-covered previously unrecognized differences between FL and BM definitive erythropoiesis and provide novel insights into erythropoiesis.
Published in
Global Transcriptomic and Characteristics Comparisons between Mouse Fetal Liver and Bone Marrow Definitive Erythropoiesis
Gao C, Zhang H, Wang Y et al. · Cells 2024 · PMID 38995000 · doi:10.3390/cells13131149
This dataset
Download · which file do I need?

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.

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, or the whole study as GSE269127_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA1120366 and SRA study SRP511935. Searching any of these in the dataset finder brings you back here.

Study design
36 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 36 sample titles: 36 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

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.