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Inflammatory Monocytes Constrain YAP-Induced Cell Proliferation [snRNA-seq]

GSE314318 Mus musculus (mouse) Single-nucleus RNA-seq 8 samples Submitted 2026/07/01 Platform GPL34328
At a glance

Single-nucleus RNA-seq · mouse · 8 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue).
Organism
Mus musculus (mouse)
Samples
8 samples: 8 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
Inflammatory monocytes constrain YAP-induced cell proliferationScience advances · 2026
Summary (written by the submitters)
YAP and its paralog, TAZ are transcriptional co-activators of the Hippo pathway that regulate cell growth. Their structural distinctiveness suggests important independent functional differences. To investigate this further, we generated YAP- and TAZ-predominant clones in the liver and followed their long-term behavior. YAP clones rapidly de-differentiate cells into a stem cell-like state with inflammatory immune cell recruitment followed by their clearance.
Read the full summary ↓
In contrast, TAZ clones promote an anti-inflammatory immune environment resulting in their long-term maintenance, massive organ growth and increased mortality. YAP clones recruit inflammatory blood-derived monocytes, which if inhibited permits YAP clonal growth. Consistent with these results, YAPHigh colorectal cancer (CRC) patients had a 67% 5-year survival rate, while TAZHigh CRC patients did not survive to 5 years. Similar trends were seen in hepatocellular carcinoma patients. These findings underscore the importance of understanding the intrinsic differences in YAP and TAZ biology as independent drivers of disease.
Published in
Inflammatory monocytes constrain YAP-induced cell proliferation
Singh S, Tahmasian N, Liu JJ et al. · Science advances 2026 · PMID 42341114 · doi:10.1126/sciadv.aee8580
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 GSE314318_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1391007 and SRA study SRP656827. Searching any of these in the dataset finder brings you back here.

Study design
8 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 8 sample titles: 8 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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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.