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PFOS exposure/diet effects on intestinal tissue

GSE248402 Mus musculus (mouse) RNA-seq (gene expression) 22 samples Submitted 2024/06/12 Platform GPL28457
At a glance

RNA-seq (gene expression) · mouse · 22 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
22 samples: 22 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.
Paper
Perfluorooctanesulfonic acid exposure leads to downregulation of 3-hydroxy-3-methylglutaryl-CoA synthase 2 expression and upregulation of markers associated with intestinal carcinogenesis in mouse intestinal tissuesChemosphere · 2024
Summary (written by the submitters)
PFOS, a member of the chemical group known as per- and polyfluoroalkyl substances (PFAS), is a well-documented environmental contaminant. Its high bioaccumulation potential and long elimination half-life can disrupt multiple biological pathways negatively affecting human health. The gastrointestinal tract (GI) is directly exposed to environmental pollutants via contaminated drinking water and food, potentially influencing intestinal homeostasis under both physiological and pathological conditions.
Read the full summary ↓
Although some studies have highlighted the potential role of PFOS in tumor development, scientific literature on PFOS exposure in the GI is limited and the association between this environmental pollutant and GI-associated diseases remains to be determined. Therefore, this study aims to delineate the effects of PFOS on normal intestinal cells. The effect of PFOS on gene expression profiles was assessed through RNAseq analysis conducted on the intestinal tissue of C57BL/6 mice. Through RNAseq analysis, we identified the top pathways upregulated by PFOS as cancer, lipid metabolism and immune system. The KEGG analysis further highlighted significant gene enrichment in pro-oncogenic signaling pathways, including NOTCH, WNT/β-catenin and TGF-β. The RNAseq, q-RT-PCR and western blot analyses of normal intestinal tissues revealed that PFOS exposure leads to downregulation of 3-hydroxy-3-methylglutaryl-Coa synthase 2 (HMGCS2), a key enzyme in the synthesis of β-hydroxybutyrate (βHB), a critical ketogenic molecule. In summary, our data suggests that PFOS may induce GI pathological changes that can increase the risk of CRC development. We identified that downregulation of ketogenesis and upregulation of lipid metabolism are the major effects of PFOS exposure in intestinal epithelium.
Published in
Perfluorooctanesulfonic acid exposure leads to downregulation of 3-hydroxy-3-methylglutaryl-CoA synthase 2 expression and upregulation of markers associated with intestinal carcinogenesis in mouse intestinal tissues
Tessmann JW, Deng P, Durham J et al. · Chemosphere 2024 · PMID 38754493 · doi:10.1016/j.chemosphere.2024.142332
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 GSE248402_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 PRJNA1043683 and SRA study SRP473375. Searching any of these in the dataset finder brings you back here.

Study design
22 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 22 sample titles: 22 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
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