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Combination of menin and kinase inhibitors as a novel treatment for NUP98-rearranged leukemia

GSE246783 Homo sapiens (human) RNA-seq (gene expression) 30 samples Submitted 2024/10/30 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 30 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
30 samples
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
Combination of menin and kinase inhibitors as an effective treatment for leukemia with NUP98 translocationsLeukemia · 2024
Summary (written by the submitters)
Chromosomal translocations involving the nucleoporin 98 (NUP98) gene at chromosome 11p15 are found in pediatric and adult Acute Myeloid Leukemia (AML) patients, representing one of the most common genetic alterations in pediatric AMLs found in ~10% of these patients. Previous studies demonstrated that NUP98 fusion proteins interact with MLL1 (Mixed Lineage Leukemia 1 also known as KMT2A) protein complex, and colocalize with MLL1 on Hoxa/b cluster genes, supporting MLL1 as a molecular dependency in the NUP98-r leukemia.
Read the full summary ↓
Importantly, recent work has validated an important role of the scaffold protein menin, which directly interacts with the N-terminus of MLL1, in the NUP98-r leukemia. Here, we explored the effect of combining our menin inhibitor MI-3454 with CDK6 or FLT3 kinase inhibitors in the NUP98-r leukemia models as a possible way to enhance the anti-leukemic effect.
Published in
Combination of menin and kinase inhibitors as an effective treatment for leukemia with NUP98 translocations
Miao H, Chen D, Ropa J et al. · Leukemia 2024 · PMID 38890447 · doi:10.1038/s41375-024-02312-9
This dataset
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.

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 GSE246783_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1034608 and SRA study SRP469726. Searching any of these in the dataset finder brings you back here.

Samples in this study

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