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Wumei Wan Remodels the Tumor Immune Microenvironment via the IDO1-KYN-AHR Axis in AOM/DSS-Induced Colorectal Cancer Model.

GSE295477 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2025/07/16 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 15 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
15 samples: 5 × K vs 5 × M vs 5 × GGroups 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)
Abstract Background:Colorectal Cancer (CRC) is a common malignant tumor of the digestive tract, with poor prognosis in advanced stages due to metastasis and immune evasion.Chronic intestinal inflammation may promote CRC progression by inducing an imbalance in the immune microenvironment, thus therapeutic strategies targeting immune regulation urgently need to be explored.Wumei Wan (WMW), a traditional Chinese herbal formula, has shown marked anti-inflammatory activity in ulcerative colitis (UC).However, whether it can inhibit CRC progression remains unclear.
Read the full summary ↓
Aim:This study aims to investigate whether WMW can ameliorate CRC and to explore its underlying mechanisms. Methods:An AOM/DSS-induced CRC mouse model was established, and transcriptomicss, metabolomics, and network pharmacology analyses were integrated to investigate and validate the mechanisms of WMW. Results:WMW ameliorated CRC progression by improving colonic pathological conditions, lowering Disease Activity Index (DAI) scores, enhancing survival, and suppressing tumor growth in CRC mice. Specifically, the WMW group’s DAI score decreased by approximately 34.36% compared to the model group. Additionally, by day 70, the survival rate in the WMW-treated group was 22.806% higher than that of the model group. Multi-omics and network pharmacology analyses indicated that WMW inhibited the IDO-Kyn-AHR signaling pathway, decreased Th17 and Treg cell proliferation and differentiation, restored CD8+T cell function, and enhanced antitumor immunity. Conclusion:This research demonstrates for the first time that WMW suppresses CRC progression by rebalancing Th17/Treg immunity through modulation of the IDO1-Kyn-AHR pathway.
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 GSE295477_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 PRJNA1254751 and SRA study SRP580847. Searching any of these in the dataset finder brings you back here.

Study design
5 × K vs 5 × M vs 5 × G

Supports a between-group comparison across 15 samples.

How we read this: 3 replicated groups read from 15 sample titles; they account for 15 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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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.