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Ribonuclease 5 suppresses intestinal tumorigenesis

GSE237863 Mus musculus (mouse) Non-coding RNA profiling 16 samples Submitted 2025/12/31 Platform GPL24247Platform GPL17021
At a glance

Non-coding RNA profiling · mouse · 16 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Mus musculus (mouse)
Samples
16 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.
Summary (written by the submitters)
Understanding on the transformation of normal intestinal tissue to tumor remains incompleted. Ribonuclease 5 (RNase5) was traditionally recognized as a tumor promoter, here we found it exhibited a dose-dependent tumor-inhibitory effect in normal intestine. Functionally, RNase5 controlled crypt stem and transit amplifying cell proliferation rates to maintain homeostasis, thus suppressing tumor initiation.
Read the full summary ↓
Mechanistically, cytoplasmic RNase5 restricted protein synthesis to an appropriate level by producing tRNA-derived stress-induced tRNA fragments (tiRNAs) to accommodate intestinal steady state. RNase5 supplementation reduced adenomas if administered during tumorigenesis onset but enhanced tumor growth if added during progression stage. Furthermore, our nested case‒control study revealed that low serum ANG predicted higher CRC risk. Our finding suggests that RNase5 plays dichotomous roles in intestinal tumor initiation and development, and its serum level may serve as a biomarker for CRC risk predication; its supplementation might be an intervention measure for the population with extremely low serum RNase5.
This dataset
Open GSE237863 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 GSE237863_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 ↗

Also filed as BioProject PRJNA996954 and SRA study SRP450586. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 conditions, mostly in triplicate
crypt-RNA-WT ×3 crypt-RNA-KO ×3 mouse intestine organoid, control, ×3 mouse intestine organoid, RNase5 knockdown, ×3 crypt-Ribo--WT ×2 crypt-Ribo--KO ×2

Supports a case/control comparison: 3 samples read as cases, 3 as controls.

How we read this: 6 replicated groups read from 16 sample titles; they account for 16 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

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