Global transcriptomic comparisons between fetal liver and bone marrow definitive erythropoiesis
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
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 GSE269127_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 PRJNA1120366 and SRA study SRP511935. Searching any of these in the dataset finder brings you back here.
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.
- GSM8306717 mBM_BFUE_low_1st
- GSM8306718 mBM_BFUE_low_2nd
- GSM8306719 mBM_BFUE_low_3rd
- GSM8306720 mBM_CFUE_low_1st
- GSM8306721 mBM_CFUE_low_2nd
- GSM8306722 mBM_CFUE_low_3rd
- GSM8306723 mFL_BFUE_low_1st
- GSM8306724 mFL_BFUE_low_2nd
- GSM8306725 mFL_BFUE_low_3rd
- GSM8306726 mFL_CFUE_low_1st
- GSM8306727 mFL_CFUE_low_2nd
- GSM8306728 mFL_CFUE_low_3rd
- GSM8306729 mBM_Pro_1st
- GSM8306730 mBM_Pro_2nd
- GSM8306731 mBM_Pro_3rd
- GSM8306732 mBM_Baso_1st
- GSM8306733 mBM_Baso_2nd
- GSM8306734 mBM_Baso_3rd
- GSM8306735 mBM_Poly_1st
- GSM8306736 mBM_Poly_2nd
- GSM8306737 mBM_Poly_3rd
- GSM8306738 mBM_Ortho_1st
- GSM8306739 mBM_Ortho_2nd
- GSM8306740 mBM_Ortho_3rd
- GSM8306741 mFL_Pro_1st
- GSM8306742 mFL_Pro_2nd
- GSM8306743 mFL_Pro_3rd
- GSM8306744 mFL_Baso_1st
- GSM8306745 mFL_Baso_2nd
- GSM8306746 mFL_Baso_3rd
- GSM8306747 mFL_Poly_1st
- GSM8306748 mFL_Poly_2nd
- GSM8306749 mFL_Poly_3rd
- GSM8306750 mFL_Ortho_1st
- GSM8306751 mFL_Ortho_2nd
- GSM8306752 mFL_Ortho_3rd
- GSE226078 Transcriptomics of mouse bone marrow erythropoiesis 68 samples shares erythropoiesis, marrow, bone
- GSE224993 Hypoxia induces transcriptomic changes in bone marrow cells leading to increased erythropoiesis [TFPI] 6 samples shares erythropoiesis, marrow, bone
- GSE215076 Histone chaperon ASF1B recruits distinct epigenetic factors in regulation of histone variant H3.3 during the fetal and adult erythropoiesis. 54 samples shares erythropoiesis, fetal
- GSE261716 On the way to elucidate the effects of cannabidiol (CBD) on living organisms - assessment of changes in the global transcription profile of liver in mouse model 48 samples shares global, liver
- GSE284601 A Transcriptomic Dataset of Liver Tissues from Global and Liver-Specific Bmal1 Knockout Mice 24 samples shares global, liver
- GSE214528 Histone chaperon ASF1B recruits distinct epigenetic factors in regulation of histone variant H3.3 during the fetal and adult erythropoiesis 32 samples shares erythropoiesis, fetal
- GSE214527 Histone chaperon ASF1B recruits distinct epigenetic factors in regulation of histone variant H3.3 during the fetal and adult erythropoiesis [ChIP-seq] 28 samples shares erythropoiesis, fetal
- GSE250192 Global epigenetic stability of liver-resident invariant natural killer T cells in response to cues capable of inducing transcriptional re-programming 24 samples shares global, liver
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.