GEO series

RNA Terminal Uridylyl-Transferases Are Druggable Vulnerabilities in AML, but are Dispensable for Normal Hematopoiesis

GSE311841 Mus musculus (mouse) RNA-seq (gene expression) 8 samples Submitted 2026/07/17 Platform GPL24247

At a glance

RNA-seq (gene expression) · mouse · 8 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: 8 samples: 8 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.

Summary (written by the submitters)

Acute myeloid leukemia (AML) is an aggressive hematological malignancy arising from blood-forming hematopoietic stem and progenitor cells (HSPCs). Current therapies often fail to eradicate AML, therefore, identification of novel therapeutic targets is essential. Here, we reveal Terminal Uridylyl Transferase Enzymes 4 and 7 (TUT4/7) as druggable novel therapeutic targets whose genetic deletion in AML suppresses growth, induces apoptosis and improves the survival of in vivo mouse models.

Read the full summary ↓

Use of a pre-clinical TUT4/7 inhibitor is cytotoxic to AML patient samples, dysregulates mevalonate pathway genes and synergizes with Venetoclax. AML therapies are often limited by hematopoietic toxicity. Remarkably, we find that although Tut4/7 deletion results in mild inflammatory activation throughout the hematopoietic system, this activation is largely permissive, and mice exhibit no overt pathology for at least one year. Thus, we reveal TUT4/7 as novel druggable therapeutic targets, whose inactivation compromises AML while sparing normal hematopoiesis.

This dataset

Open GSE311841 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 GSE311841_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 PRJNA1371002 and SRA study SRP649785. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

8 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 8 sample titles: 8 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

GSM9333294 VavCre_Tut4KO_Tut7KO_71b_LK
GSM9333295 VavCre_Tut4KO_Tut7KO_KO_71b_LSK
GSM9333296 Tut4WT_Tut7WT_71c_LK
GSM9333297 Tut4WT_Tut7WT_71c_LSK
GSM9333298 VavCre_Tut4KO_Tut7KO_71d_LK
GSM9333299 VavCre_Tut4KO_Tut7KO_71d_LSK
GSM9333300 Tut4WT_Tut7WT_71e_LK
GSM9333301 Tut4WT_Tut7WT_71e_LSK

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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.