TPO stimulation midulates gene expression of iKMT2A-MLLT3 HSPC
RNA-seq (gene expression) · mouse · 34 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
- 34 samples: 34 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.
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 GSE261266_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 PRJNA1086356 and SRA study SRP494449. 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 34 sample titles: 34 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.
- GSM8139009 Day5_Group1_1_GEX
- GSM8139010 Day5_Group1_2_GEX
- GSM8139011 Day5_Group1_1_CellSurfaceProtein
- GSM8139012 Day5_Group1_2_CellSurfaceProtein
- GSM8139013 Day5_Group2_1_GEX
- GSM8139014 Day5_Group2_2_GEX
- GSM8139015 Day5_Group2_1_CellSurfaceProtein
- GSM8139016 Day5_Group2_2_CellSurfaceProtein
- GSM8139017 Day5_Group3_1_GEX
- GSM8139018 Day5_Group3_2_GEX
- GSM8139019 Day5_Group3_1_CellSurfaceProtein
- GSM8139020 Day5_Group3_2_CellSurfaceProtein
- GSM8139021 Day2_Group1_1_GEX
- GSM8139022 Day2_Group1_2_GEX
- GSM8139023 Day2_Group1_1_CellSurfaceProtein
- GSM8139024 Day2_Group1_2_CellSurfaceProtein
- GSM8139025 Day2_Group2_2_GEX
- GSM8139026 Day2_Group2_3_GEX
- GSM8139027 Day2_Group2_2_CellSurfaceProtein
- GSM8139028 Day2_Group2_3_CellSurfaceProtein
- GSM8139029 Day2_Group3_1_GEX
- GSM8139030 Day2_Group3_2_GEX
- GSM8139031 Day2_Group3_3_GEX
- GSM8139032 Day2_Group3_4_GEX
- GSM8139033 Day2_Group3_1_CellSurfaceProtein
- GSM8139034 Day2_Group3_2_CellSurfaceProtein
- GSM8139035 Day2_Group3_3_CellSurfaceProtein
- GSM8139036 Day2_Group3_4_CellSurfaceProtein
- GSM8139037 Day2_Group4_4_CellSurfaceProtein
- GSM8139038 Day2_Group4_2_CellSurfaceProtein
- GSM8139039 Day2_Group4_3_CellSurfaceProtein
- GSM8139040 Day2_Group4_2_GEX
- GSM8139041 Day2_Group4_3_GEX
- GSM8139042 Day2_Group4_4_GEX
- GSE261134 Gene expression of TPO-stimulated HSC-derived murine Evi1+AML 24 samples shares tpo
- GSE215003 Impact of autoimmune inflammation on HSPC and monocyte gene expression 24 samples shares hspc
- GSE235693 Leukemic initiation in Jam-C-deficient HSPC reveals AP-1/TNF- gene expression signature as a biomarker for AML 12 samples shares hspc
- GSE274860 RNA sequestration in P-bodies sustains myeloid leukemia [HSPC_RNAseq] 24 samples shares hspc
- GSE280510 scRNAseq and CITEseq of aged HSPCs derived from FlkSwitch mouse model 24 samples shares hspc
- GSE326123 Edited HSPCs rescue frataxin deficiency and inflammation-driven neurologic, cardiac and pancreatic pathology in Friedreich’s ataxia 15 samples shares hspc
- GSE218518 Transcriptome analysis to compare alternative splicing between control and Ahed-deficient hematopoietic stem and progenitor cells (HSPCs) [RNA-Seq] 12 samples shares hspc
- GSE236544 miR184 and miR499 in HSPC proliferation and differentiation 12 samples shares hspc
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.