GEO series

SUCLG1-deficiency causes hypersuccinylation and impairs leukemia development [RNA-seq]

GSE272740 Homo sapiens (human) RNA-seq (gene expression) 23 samples Submitted 2026/07/21 Platform GPL24676

At a glance

RNA-seq (gene expression) · human · 23 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: 23 samples: 7 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)

Succinyl-CoA synthetase was reported to sustain mitochondrial respiration and enhance leukemia proliferation. However, the biological mechanisms of mitochondrial metabolism and leukemia pathogenesis, beyond energy production, remains underexplored. Here we report that depletion of SUCLG1 causes hypersuccinylation in leukemia cell lines, which impairs cell proliferation and leukemia progression.

Read the full summary ↓

We hypothesize that increased histone H3 succinylation attenuates bromodomain interaction with chromatin, hence disrupting BRD4-mediated leukemogenic genes transcription. To confirm the hypothesis, we performed RNA-seq analysis in SUCLG1 knockout cell lines, JQ1-treated cells, Ksuc high and low primary AML patients.

This dataset

Open GSE272740 in finder → Find more human RNA-seq datasets →

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 GSE272740_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 PRJNA1138647 and SRA study SRP521316. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

7 conditions, mostly in triplicate

AML primary cells, Ksuc High, patient ×4 AML primary cells, Ksuc Low, patient ×4 U937 cells, control, ×3 U937 cells, JQ1, ×3 U937 cells, NT, ×3 U937 cells, KO1, ×3 U937 cells, KO2, ×3

Supports a case/control comparison: 8 samples read as cases, 3 as controls.

How we read this: 7 replicated groups read from 23 sample titles; they account for 23 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

GSM8409944 U937 cells, control, rep1 U937 cells, control,
GSM8409945 U937 cells, control, rep2 U937 cells, control,
GSM8409946 U937 cells, control, rep3 U937 cells, control,
GSM8409947 U937 cells, JQ1, rep1 U937 cells, JQ1,
GSM8409948 U937 cells, JQ1, rep2 U937 cells, JQ1,
GSM8409949 U937 cells, JQ1, rep3 U937 cells, JQ1,
GSM8409950 U937 cells, NT, rep1 U937 cells, NT,
GSM8409951 U937 cells, NT, rep2 U937 cells, NT,
GSM8409952 U937 cells, NT, rep3 U937 cells, NT,
GSM8409953 U937 cells, KO1, rep1 U937 cells, KO1,
GSM8409954 U937 cells, KO1, rep2 U937 cells, KO1,
GSM8409955 U937 cells, KO1, rep3 U937 cells, KO1,
GSM8409956 U937 cells, KO2, rep1 U937 cells, KO2,
GSM8409957 U937 cells, KO2, rep2 U937 cells, KO2,
GSM8409958 U937 cells, KO2, rep3 U937 cells, KO2,
GSM8409959 AML primary cells, Ksuc High, patient1 AML primary cells, Ksuc…
GSM8409960 AML primary cells, Ksuc High, patient2 AML primary cells, Ksuc…
GSM8409961 AML primary cells, Ksuc High, patient3 AML primary cells, Ksuc…
GSM8409962 AML primary cells, Ksuc High, patient4 AML primary cells, Ksuc…
GSM8409963 AML primary cells, Ksuc Low, patient1 AML primary cells, Ksuc…
GSM8409964 AML primary cells, Ksuc Low, patient2 AML primary cells, Ksuc…
GSM8409965 AML primary cells, Ksuc Low, patient3 AML primary cells, Ksuc…
GSM8409966 AML primary cells, Ksuc Low, patient4 AML primary cells, Ksuc…

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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.