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Effect of red meat metabolites and nutrient deprivation on gene expression of HCT116 colorectal cancer cells

GSE271991 Homo sapiens (human) RNA-seq (gene expression) 60 samples Submitted 2026/05/27 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 60 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
Colorectal cancerThis series is part of our curated briefing on it.
Samples
60 samples: 12 conditions, mostly with about 5 replicates eachGroups 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
Low-dose chronic exposure to hemin and kynurenine enhances metabolic adaptation in a colorectal cancer cell modelScientific reports · 2026
Summary (written by the submitters)
Metabolic adaptation allows cancer cells to survive and thrive in changing (nutritional) environments and is therefore a major contributor to cancer progression. The role of diet herein remains largely unexplored. Red and processed meat consumption is associated to colorectal cancer (CRC), e.g. by the influence of metabolites in the colon lumen.
Read the full summary ↓
In this study, the impact of individual and mixtures of meat-derived metabolites on cancer cell metabolic adaptations upon nutritional deprivation is investigated. Using respirometry and transcriptomics, shifts in the ratio of oxidative and glycolytic metabolism were demonstrated upon treatment with hemin (HEM) and kynurenine (KYN). In addition, we found that a combination of HEM and KYN had the strongest impact on the metabolic adaptability during glucose deprivation, potentially supported by stimulated intracellular lipid storage. These results reveal an important role of red meat metabolites in cancer cell bioenergetics by acting on key metabolic pathways and show combined effects of HEM and KYN.
Published in
Low-dose chronic exposure to hemin and kynurenine enhances metabolic adaptation in a colorectal cancer cell model
Alderweireldt E, Grootaert C, Luca S et al. · Scientific reports 2026 · PMID 41917077 · doi:10.1038/s41598-026-43267-4
This dataset
Open GSE271991 in finder → Find more human RNA-seq datasets → Colorectal cancer 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 GSE271991_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 PRJNA1134256 and SRA study SRP519177. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41917077) ↗
Study design
12 conditions, mostly with about 5 replicates each
Medium 1 - UT - biol ×5 Medium 1 - But 1 µM - biol ×5 Medium 1 - Hem 0.1 µM - biol ×5 Medium 1 - Kyn 1 µM - biol ×5 Medium 1 - KynA 1 µM - biol ×5 Medium 1 - Hem + Kyn 1 µM - biol ×5 Medium 2 - UT - biol ×5 Medium 2 - But 1 µM - biol ×5 +4 more

Supports a between-group comparison across 60 samples.

How we read this: 12 replicated groups read from 60 sample titles; they account for 60 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

+ 20 more — browse all 60 samples with per-sample file links →

More Colorectal cancer datasets

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