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Mediator kinase inhibition exposes a transcriptional vulnerability and primes AML for venetoclax sensitivity

GSE327563 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2026/06/29 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 18 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)
Topic
Acute myeloid leukemiaThis series is part of our curated briefing on it.
Samples
18 samples: 18 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.
Summary (written by the submitters)
Acute myeloid leukemia (AML) is a heterogeneous and aggressive hematologic malignancy associated with poor survival despite recent therapeutic advances. To identify novel anti-leukemic agents, we performed a high-throughput viability screen of 10,000 small molecules across 56 genetically diverse primary AML samples. Compounds with similar activity profiles were grouped into Compound Correlation Clusters (CCCs), leading to the identification of CCC163, which includes AML874, as a potent and selective hit.
Read the full summary ↓
Integrated pharmacological and CRISPR-Cas9 approaches identified the Mediator complex as the molecular target of AML874. We demonstrate that AML874 acts as a selective CDK8/CDK19 inhibitor, disrupting Mediator-dependent transcription. FLT3-mutated AML showed increased sensitivity to AML874, suggesting a subtype-specific vulnerability. Notably, CDK8 inhibition synergized with venetoclax in AML cell lines and patient-derived xenograft models, resulting in enhanced anti-leukemic activity in vivo. Together, these findings identify AML874 as a promising therapeutic candidate and highlight CDK8/CDK19 inhibition as a potential strategy in AML.
This dataset
Open GSE327563 in finder → Find more human RNA-seq datasets → Acute myeloid leukemia landscape →
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.

Series matrix ↓
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 GSE327563_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1451229 and SRA study SRP690646. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
18 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 18 sample titles: 18 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
More Acute myeloid leukemia datasets

Search all human RNA-seq datasets in GEO →

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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.