CEBPA repression by MECOM blocks differentiation to drive aggressive leukemias [RNA-Seq]
RNA-seq (gene expression) · human · 28 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
- Homo sapiens (human)
- Samples
- 28 samples: 28 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
- CEBPA repression by MECOM blocks differentiation to drive aggressive leukemiasBlood · 2025
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 GSE284558_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 PRJNA1199531 and SRA study SRP552091. 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 28 sample titles: 28 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.
- GSM8686527 MUTZ-3 dTAGV-1 6hr rep1 [RNA-Seq]
- GSM8686528 MUTZ-3 dTAGV-1 6hr rep2 [RNA-Seq]
- GSM8686529 MUTZ-3 dTAGV-1 6hr rep3 [RNA-Seq]
- GSM8686530 MUTZ-3 dTAGV-1 24hr rep1 [RNA-Seq]
- GSM8686531 MUTZ-3 dTAGV-1 24hr rep2 [RNA-Seq]
- GSM8686532 MUTZ-3 dTAGV-1 24hr rep3 [RNA-Seq]
- GSM8686533 MUTZ-3 DMSO 6hr rep1 [RNA-Seq]
- GSM8686534 MUTZ-3 DMSO 6hr rep2 [RNA-Seq]
- GSM8686535 MUTZ-3 DMSO 6hr rep3 [RNA-Seq]
- GSM8686536 MUTZ-3 DMSO 24hr rep1 [RNA-Seq]
- GSM8686537 MUTZ-3 DMSO 24hr rep2 [RNA-Seq]
- GSM8686538 MUTZ-3 DMSO 24hr rep3 [RNA-Seq]
- GSM8686539 UCSD-AML1 dTAGV-1 6hr rep1 [RNA-Seq]
- GSM8686540 UCSD-AML1 dTAGV-1 6hr rep2 [RNA-Seq]
- GSM8686541 UCSD-AML1 DMSO 6hr rep1 [RNA-Seq]
- GSM8686542 UCSD-AML1 DMSO 6hr rep2 [RNA-Seq]
- GSM8686543 HNT-34 dTAGV-1 6hr rep1 [RNA-Seq]
- GSM8686544 HNT-34 dTAGV-1 6hr rep2 [RNA-Seq]
- GSM8686545 HNT-34 dTAGV-1 6hr rep3 [RNA-Seq]
- GSM8686546 HNT-34 DMSO 6hr rep1 [RNA-Seq]
- GSM8686547 HNT-34 DMSO 6hr rep2 [RNA-Seq]
- GSM8686548 HNT-34 DMSO 6hr rep3 [RNA-Seq]
- GSM8686549 OCI-AML4 dTAGV-1 6hr rep1 [RNA-Seq]
- GSM8686550 OCI-AML4 dTAGV-1 6hr rep2 [RNA-Seq]
- GSM8686551 OCI-AML4 dTAGV-1 6hr rep3 [RNA-Seq]
- GSM8686552 OCI-AML4 DMSO 6hr rep1 [RNA-Seq]
- GSM8686553 OCI-AML4 DMSO 6hr rep2 [RNA-Seq]
- GSM8686554 OCI-AML4 DMSO 6hr rep3 [RNA-Seq]
- GSE286032 MECOM is a master repressor of myeloid differentiation through dose control of CEBPA in acute myeloid leukemia [RNA-seq] 65 samples shares cebpa, mecom, rna-seq
- GSE287183 Epigenetic de-repression of drivers of neuroendocrine prostate cancer [RNA-seq] 36 samples shares repression, rna-seq, drive
- GSE314154 STAG2 loss amplifies EWS-FLI1-driven microsatellite enhancer activity promoting Ewing's sarcoma aggressiveness [RNA-Seq] 20 samples shares aggressive, rna-seq, drive
- GSE286033 MECOM is a master repressor of myeloid differentiation through dose control of CEBPA in acute myeloid leukemia 117 samples shares cebpa, mecom
- GSE244526 Wnt/β-catenin signaling regulates amino acid metabolism through the suppression of CEBPA and FOXA1 in liver cancer cells [RNA-seq] 15 samples shares cebpa, rna-seq
- GSE297480 Highly effective combination of BRG1/BRM inhibitor with BET inhibitor or decitabine for high-risk MECOM-rearranged AML [RNA-seq] 14 samples shares mecom, rna-seq
- GSE324092 MECOM promotes leukemia progression and inhibits mast cell differentiation through functional competition with GATA2 (CordBlood_RNA-seq) 12 samples shares mecom, rna-seq
- GSE305099 Small activating RNA AW1-51 (CEBPA-51) elicits targeted DNA demethylation to promote gene activation [RNA-seq] 8 samples shares cebpa, rna-seq
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.