← BioTransfer GEO Dataset Finder
GEO series

Anti-leukemic effect of MAR-3.6.2, a novel RAN inhibitor, on AML-LSCs by targeting RAN.

GSE324546 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2026/03/15 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 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
Homo sapiens (human)
Topic
Acute myeloid leukemiaThis series is part of our curated briefing on it.
Samples
18 samples: 18 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
Allosteric inhibition of RAN decreases miR-126 biogenesis in endothelial cells and controls acute myeloid leukemia growthCommunications biology · 2026
Summary (written by the submitters)
The small GTPase RAN plays a role in the biogenesis of mature miR-126, which is supplied by the bone marrow arterioles to leukemic stem cells (LSCs). MiR-126 supports the homeostasis of LSCs that initiate and maintain acute myeloid leukemia (AML). While therapeutic targeting of RAN has been difficult due to its structural features, through molecular dynamics simulations and docking studies, we have identified MAR-3.6.2 as a novel allosteric inhibitor that binds in a cryptic pocket in the C-terminal domain of RAN.
Read the full summary ↓
We showed that MAR-3.6.2 disrupted RAN interaction with its guanine nucleotide exchange factor RCC1 and prevented the nuclear switch of RAN-GDP to RAN-GTP. This in turn led to RAN nuclear retention and reduced the RAN/XPO5-mediated export of pre-miR-126, thereby limiting mature miR-126 biogenesis in endothelial cells and their exogenous supply of mature miR-126 to LSCs. In a MllPTD/WT/Flt3ITD/ITD AML murine model, MAR-3.6.2 reduced leukemia burden, prolonged survival, and decreased LSC frequency in secondary transplants. These findings highlight MAR-3.6.2 and future, potential derivates as a promising small molecule-based approach to eradicate AML LSCs via inhibition of RAN/XPO5 trafficking and block of miR-126 biogenesis.
Published in
Allosteric inhibition of RAN decreases miR-126 biogenesis in endothelial cells and controls acute myeloid leukemia growth
Valerio M, Wei W, Kang H et al. · Communications biology 2026 · PMID 41981249 · doi:10.1038/s42003-026-10026-0
This dataset
Open GSE324546 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 GSE324546_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 PRJNA1435778 and SRA study SRP682852. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41981249) ↗
Study design
18 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 18 sample titles: 18 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
More Acute myeloid leukemia datasets

Search all human 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.