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Whole transcriptomes analyses of organoids derived from Mist1Cre/ERT2 mice corpus with oxidative stress

GSE292919 Mus musculus (mouse) RNA-seq (gene expression) 27 samples Submitted 2025/06/24 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 27 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
27 samples: 9 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.
Paper
Oxidative stress and Kras mutation in Mist1(+) cells act in a double-hit manner to drive gastric tumorigenesisCell reports · 2025
Summary (written by the submitters)
Purpose: To explore the molecular mechanisms of Mist1+ cells that are specifically resistance to oxidative stress, and the mechanism that oxidative stress in regulating the stemness of Mist1+ cells, RNA sequencing was performed to analyze the geome-wide change of Mist1+ cells under oxidative stress (high fat diet or Gpx4 knockout) compared with control mice, and further the difference between these two Mist1+ cells.
Read the full summary ↓
Methods: Total mRNA was extracted from Mist1+ cells which were isolated from corpus of Mist1Cre/ERT2;RFPLSL mice (8 weeks) fed with normal diet and high fat diet. Besides, we formed Mist1+ organoids from Mist1Cre/ERT2;RFPLSL mice and Gpx4F/F;Mist1Cre/ERT2;RFPLSL mice respectively, organoids were passaged, and total mRNA was extracted from organoids in passage 5, 10 and 15. Then RNA quality was assessed using an Agilent Bioanalyzer 2100 and the sample reads were sequenced using Illumina NovaSeq 6000 platform. Results: Our results revealed differentially expressed genes in Mist1+ cells from high fat diet-fed mice compared with normal diet-fed mice. Further KEGG analysis enriched multiple pathways/biological processes including ROS, endocytosis, oxidative phosphorylation, Ras signaling, and ferroptosis. Further GSEA analysis showed that genes associated with stem cell maintenance and differentiation were significantly enriched in the high fat diet group, suggesting that Mist1+ cells enhance their stemness and transcriptional activity in response to oxidative stress induced by a high-fat diet. As for Gpx4 knockout-induced oxidative stress, we found that Gpx4 knockout in Mist1+ cells rewired multiple signaling pathways that drive cell growth, especially Hippo signaling pathway that is closely related with gastric cancer initiation and progression. Conclusion: Our study present the detailed transcripts analysis of Mist1+ cells under oxidative stress (high fat diet or Gpx4 knockout). Based on RNA-seq transcriptome characterization, we conclude a mechanism for Mist1+ cells that are resistance to oxidative stress and act as tumor initiation cells under oxidative stress.
Published in
Oxidative stress and Kras mutation in Mist1(+) cells act in a double-hit manner to drive gastric tumorigenesis
Chen F, Han Y, Yue J et al. · Cell reports 2025 · PMID 40652510 · doi:10.1016/j.celrep.2025.116014
This dataset
Open GSE292919 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 GSE292919_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 PRJNA1241869 and SRA study SRP573068. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40652510) ↗
Study design
9 conditions, mostly in triplicate
normal diet_Mist1+ ×3 HFD_Mist1+ ×3 Mist1- organoids_P5 ×3 Mist1+ organoids_P5 ×3 Gpx4 KO_Mist1+ organoids_ P5 ×3 Mist1+ organoids_P10 ×3 Gpx4 KO_Mist1+ organoids_ P10 ×3 Mist1+ organoids_P15 ×3 +1 more

Supports a between-group comparison across 27 samples.

How we read this: 9 replicated groups read from 27 sample titles; they account for 27 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
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