← BioTransfer GEO Dataset Finder
GEO series

FAM114A1 Promotes Immune Evasion of Triple-negative Breast Cancer by Simultaneously Activating PI3K/AKT Signaling and Disrupting E2F4-condensate Formation

GSE295176 Mus musculus (mouse) RNA-seq (gene expression) 2 samples Submitted 2025/10/16 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.
Summary (written by the submitters)
Immune checkpoint blockade (ICB) therapy, which revolutionized cancer treatment, has been approved for triple-negative breast cancer (TNBC) treatment. Unfortunately, the majority of TNBC patients are either not eligible for the treatment or exhibit resistance. Understanding the underlying mechanisms and enhancing treatment efficacy are urgently needed.
Read the full summary ↓
Here, utilizing CRISPR activation screening, we identified FAM114A1 as a key mediator of immune evasion and ICB therapy resistance in TNBC patients. Mechanistically, FAM114A1 binds to p85α to activate PI3K/AKT pathway, and simultaneously, prevents E2F4-condensate formation to promote E2F4-driven MTDH expression. Elevation of these FAM114A1-mediated pathways inhibit tumor antigen presentation and consequently suppress anti-tumor immunity in TNBC. Moreover, FAM114A1-targeting boosts anti-PD-1 treatment in mouse models and the FAM114A1 signature shows strong predictive performance in recognizing TNBC patients who may benefit from ICB therapy. Collectively, our study provides new insights into the mechanisms underlying TNBC immune evasion and a potential avenue to improve ICB treatment effectiveness.
This dataset
Open GSE295176 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 GSE295176_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 PRJNA1253662 and SRA study SRP580279. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 2 more — browse all 2 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.