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Non-Canonical PRC1.1 is required for the activity of Menin-MLL1 Inhibitors in NUP98-Rearranged AML [RNA-seq]

GSE274479 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2024/09/16 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 15 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
15 samples: 15 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
NUP98 fusion proteins and KMT2A-MENIN antagonize PRC1.1 to drive gene expression in AMLCell reports · 2024
Summary (written by the submitters)
Translocations involving the Nucleoporin 98 (NUP98) gene predict a poor prognosis for patients with acute myeloid leukemia. These translocations generate NUP98-fusion proteins which interact with the mixed-lineage leukemia (MLL1/KMT2A) chromatin modifying enzyme and its binding partner Menin. The mechanisms by which the NUP98-fusion proteins maintain gene expression remain unclear.
Read the full summary ↓
We demonstrate that the NUP98-fusion-Menin-KMT2A complex is essential for maintenance of H3K27Ac and active transcription at key loci such as Meis1 and the Hox cluster, among others. However, eviction of the complex from chromatin is insufficient to completely silence gene expression. Accumulation of the PRC1.1 complex and deposition of H2aK119Ub and H3K27Me3 is required to transition to a transcriptionally repressive chromatin state. Furthermore, we demonstrate that loss of PRC1.1 function leads to resistance to small molecule Menin inhibitors. Therefore, a critical function of the NUP98-fusion-Menin-KMT2A complex is to antagonize repressive chromatin complexes. These same mechanisms are critical for efficacy of newly developed therapeutics.
Published in
NUP98 fusion proteins and KMT2A-MENIN antagonize PRC1.1 to drive gene expression in AML
Heikamp EB, Martucci C, Henrich JA et al. · Cell reports 2024 · PMID 39475509 · doi:10.1016/j.celrep.2024.114901
This dataset
Open GSE274479 in finder → Find more mouse 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 GSE274479_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 PRJNA1146477 and SRA study SRP525424. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39475509) ↗
Study design
15 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 15 sample titles: 15 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
Datasets on a similar topic

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