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Integration of CRISPR-Cas9 Screens and Multi-Omics Profiling Reveals CHD7-ANGPT1 as a Novel Multi-Drug Resistance Axis in AML

GSE290534 Homo sapiens (human) RNA-seq (gene expression) 27 samples Submitted 2025/08/20 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 27 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
27 samples: 9 conditions, mostly in triplicateGroups 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)
To explore how the loss of function of CHD7 leads to drug resistance in acute myeloid leukemia (AML) cells, we investigated the transcriptional programs regulated by CHD7 in OCI-AML2 cells under different drug treatment conditions. This study aims to uncover the role of CHD7 in drug sensitivity and resistance, providing a theoretical basis for developing new therapeutic strategies.
This dataset
Open GSE290534 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 GSE290534_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 PRJNA1228581 and SRA study SRP566466. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
9 conditions, mostly in triplicate
OCI-AML2 DMSO sgCHD7-2 ×3 OCI-AML2 DMSO sgCHD7-5 ×3 OCI-AML2 DMSO WT ×3 OCI-AML2 Gilteritinib sgCHD7-2 ×3 OCI-AML2 Gilteritinib sgCHD7-5 ×3 OCI-AML2 Gilteritinib WT ×3 OCI-AML2 Venetoclax sgCHD7-2 ×3 OCI-AML2 Venetoclax sgCHD7-5 ×3 +1 more

Supports a between-group comparison across 27 samples.

How we read this: 9 replicated groups read from 27 sample titles; they account for 27 of them. 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.