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Targeting AEBP1 to mitigate pro-tumor activity of cancer-associated fibroblasts and increase therapeutic efficacy to anti-PD-1

GSE301078 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/06/28 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 3 × NIH3T3_WT_Par_passage vs 3 × NIH3T3_KO_F5_passage vs 3 × NIH3T3_KO_G5_passage vs 3 × NIH3T3_KO_H7_passageGroups 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)
Cancer-associated fibroblasts (CAFs) are one of the components in tumor microenvironment (TME) that can facilitate tumor progression, invasion, and metastasis directly through tumor-CAF interactions, or indirectly by crosstalking with tumor infiltrating immune cells and inducing immunosuppressive TME. Indeed, high stromal signature has been associated with reduced therapeutic efficacy and resistance to Immune Checkpoint Blockade.
Read the full summary ↓
AEBP1 is highly expressed in myofibroblast cells whose expression is further upregulated in activated fibroblasts and the extracellular matrix (ECM)-producing CAFs. AEBP1 has two alternatively spliced isoforms that the extracellular isoform binds to collagen and promotes collagen remodeling, and the intracellular isoform modulates transcription and signaling. We observed expression of both isoforms of AEBP1 in primary human CAFs. Our data showed that combined knock out (KO) of both isoforms of AEBP1 by gene editing technology decreased CAF proliferation, collagen gel contractility and CAF-mediated tumor cell proliferation in vitro. Pan AEBP1 KO mouse fibroblasts also showed reduced activity in vitro and in vivo in the co-implantation mouse model. We found that knocking out both isoforms of AEBP1 downregulated the collagen biosynthesis and ECM organization related pathways in both mouse fibroblasts and primary human CAFs through RNA sequencing studies. In addition, loss of AEBP1 in fibroblasts impacted tumor cell phenotypes resulting in significant decrease of tumor cells with,with epithelial-mesenchymal transition signature in the co-implantation mouse model. Furthermore, AEBP1 KO in CAFs enhanced the anti-PD-1 induced effector T cell activity and the anti-PD-1 efficacy in this co-implantation model. Altogether, our results demonstrate that AEBP1 is important in regulating CAF function in the TME. Inhibiting AEBP1, therefore, may be a novel strategy in targeting CAF tumor-supporting activity and overcoming cancer resistance to anti-PD-1 immunotherapy.
This dataset
Open GSE301078 in finder → Find more mouse RNA-seq datasets →
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 GSE301078_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 PRJNA1283225 and SRA study SRP595682. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × NIH3T3_WT_Par_passage vs 3 × NIH3T3_KO_F5_passage vs 3 × NIH3T3_KO_G5_passage vs 3 × NIH3T3_KO_H7_passage

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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