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Senescence defines a distinct subset of myofibroblasts that orchestrates immunosuppression in pancreatic cancer

GSE254384 Mus musculus (mouse) RNA-seq (gene expression) 2 samples Submitted 2024/03/15 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 2 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
2 samples
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
Senescence Defines a Distinct Subset of Myofibroblasts That Orchestrates Immunosuppression in Pancreatic CancerCancer discovery · 2024
Summary (written by the submitters)
Therapeutic resistance in PDAC is largely attributed to a unique tumor microenvironment embedded with an abundance of cancer associated fibroblasts (CAFs). Distinct CAF populations were recently identified, but the phenotypic drivers and specific impact of CAF heterogeneity remain unclear. In this study, we identify a subpopulation of senescent myofibroblastic CAFs (SenCAFs) in mouse and human PDAC.
Read the full summary ↓
These SenCAFs are a subset of myofibroblastic CAFs that localize near tumors ducts, have distinct phenotypes and accumulate with PDAC progression. To assess the impact of endogenous SenCAFs in PDAC, we employed a LSL-KRASG12D;p53flox;p48-CRE;INK-ATTAC (KPPC-IA) mouse model of spontaneous PDAC with inducible senescent cell depletion. Senescence depletion with the KPPC-IA model or with the senolytic drug ABT263/Navitoclax, delayed tumor progression, reduced fibrosis, and relieved immune suppression in macrophages and T lymphocytes. Collectively, our findings demonstrate that SenCAFs promote PDAC progression and immune cell dysfunction.
Published in
Senescence Defines a Distinct Subset of Myofibroblasts That Orchestrates Immunosuppression in Pancreatic Cancer
Belle JI, Sen D, Baer JM et al. · Cancer discovery 2024 · PMID 38683144 · doi:10.1158/2159-8290.CD-23-0428
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 GSE254384_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 PRJNA1070286 and SRA study SRP486280. Searching any of these in the dataset finder brings you back here.

Samples in this study

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