← BioTransfer GEO Dataset Finder
GEO series

The functional antagonism between SIRT2 and MOF regulates cell cycle progression and genome stability [RNA-seq]

GSE277368 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2026/05/06 Platform GPL23227Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 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
Mus musculus (mouse)
Samples
18 samples: 6 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.
Paper
SIRT2 antagonizes MOF function during mitotic entryScience advances · 2026
Summary (written by the submitters)
The control of G2/M transition is a key event for genome stability as it ensures proper completion of DNA replication and repair before progressing into mitosis. One of the key regulators of G2/M checkpoint is the H4K16Ac-acetyltransferase MOF, which plays a major role in chromatin structure, gene expression, DNA damage and genome stability.
Read the full summary ↓
Here we show that SIRT2, a member of the sirtuin family of NAD+-dependent deacetylases, antagonizes the role of MOF in G2/M. SIRT2 promotes specific inactivation of MOF through deacetylation and degradation of MOF, which results in re-expression of G2/M cell-cycle genes regulated by MOF. Underscoring the functional relevance of this antagonism, both factors play opposed roles in the deposition of the key mark H4K20me1 during G2/M. Consistently, loss of MOF in wt but not in SIRT2-/- cells induces a genome-wide deregulation of H4K20me1 distribution, which results in a premature loading of condensins. Our studies suggest that the G2/M checkpoint is shaped by the balance between both factors and involves condensing regulation and underscores the role of sirtuins in cell cycle control and genome stability under stress.
Published in
SIRT2 antagonizes MOF function during mitotic entry
Espinosa-Alcantud M, Sima N, Fernández-Duran I et al. · Science advances 2026 · PMID 42319919 · doi:10.1126/sciadv.aeb2915
This dataset
Open GSE277368 in finder → Find more 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 GSE277368_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 PRJNA1162050 and SRA study SRP533146. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42319919) ↗
Study design
6 conditions, mostly in triplicate
HeLa_WT_RNAseq ×3 HeLa_Kmut_RNAseq ×3 MEFs_WT_RNAseq ×3 MEFs_S2KO_RNAseq ×3 MEFs_MOFKO_RNAseq ×3 MEFs_DKO_RNAseq ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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
Datasets on a similar topic

Search all RNA-seq datasets in GEO →

Share this dataset

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.