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Mutant-p53 stimulates Cxcl1 Expression from Distal Enhancers to Suppress Immune Response to Pancreatic Cancer [RNA-seq]

GSE275105 Mus musculus (mouse) RNA-seq (gene expression) 13 samples Submitted 2024/10/09 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 13 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
13 samples: 6 conditions, mostly in duplicateGroups 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
Mutant p53 Exploits Enhancers to Elevate Immunosuppressive Chemokine Expression and Impair Immune Checkpoint Inhibitors in Pancreatic CancerbioRxiv : the preprint server for biology · 2024
Summary (written by the submitters)
Pancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer without effective treatments. It is characterized by activating KRAS mutations and p53 alterations. However, how these mutations alter cell-intrinsic gene programs to influence the immune landscape of the tumor microenvironment (TME) remains poorly understood. Here, we demonstrate that p53R172H enhances tumor growth, establishes a suppressive TME by inducing immune evasion, and blunts the effectiveness of immune checkpoint inhibitors (ICIs).
Read the full summary ↓
We discovered that the oncogenic function of p53R172H is mediated by upregulation of the immunosuppressive chemokine Cxcl1. Mechanistically, we show that p53R172H binds to the distal enhancers of the Cxcl1 gene and increases enhancer activity and Cxcl1 expression. NF-kB also occupies Cxcl1 enhancers, and p53R172H binds these enhancers in an NF-kB-dependent manner, suggesting a role of NF-kB in commuting p53R172H to the Cxcl1 enhancers. Our findings elucidate how a common mutation in a critical tumor-suppressor gene exploits enhancers to modulate chemokine gene expression and foster an immunosuppressive TME in PDAC that undermines the efficacy of ICI.
Published in
Mutant p53 Exploits Enhancers to Elevate Immunosuppressive Chemokine Expression and Impair Immune Checkpoint Inhibitors in Pancreatic Cancer
Mahat DB, Kumra H, Castro SA et al. · bioRxiv : the preprint server for biology 2024 · PMID 39257788 · doi:10.1101/2024.08.28.609802
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 GSE275105_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 PRJNA1149454 and SRA study SRP527191. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in duplicate
RNAseq_p53koKPC_isogenic_AddBack_B ×3 RNAseq_KPC_B ×2 RNAseq_p53koKPC_isogenic_B ×2 RNAseq_p53koKPC_isogenic_clone7_B ×2 RNAseq_p53koKPC_syngenic_B ×2 RNAseq_p53koKPC_isogenic_EmptyVector_B ×2

Supports a between-group comparison across 13 samples.

How we read this: 6 replicated groups read from 13 sample titles; they account for 13 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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