Inflammatory Monocytes Constrain YAP-Induced Cell Proliferation
RNA-seq (gene expression) · mouse · 34 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
- 34 samples: 7 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
- Inflammatory monocytes constrain YAP-induced cell proliferationScience advances · 2026
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE314329_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1390711 and SRA study SRP656826. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 23 samples.
How we read this: 7 replicated groups read from 34 sample titles; they account for 23 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.
- GSM9393541 snRNA-seq tdtom CTRL
- GSM9393542 snRNA-seq YAP no doxCTRL
- GSM9393543 snRNA-seq YAP 4 days
- GSM9393544 snRNA-seq YAP 1 wk
- GSM9393545 snRNA-seq YAP 2 wks
- GSM9393546 snRNA-seq LATS 4 days
- GSM9393547 snRNA-seq LATS 1 wk
- GSM9393548 snRNA-seq LATS 2 wks
- GSM9393567 bulk RNA-seq TdTomato 1 bulk RNA-seq TdTomato
- GSM9393568 bulk RNA-seq TdTomato 2 bulk RNA-seq TdTomato
- GSM9393569 bulk RNA-seq TdTomato 3 bulk RNA-seq TdTomato
- GSM9393570 bulk RNA-seq TdTomato 4 bulk RNA-seq TdTomato
- GSM9393571 bulk RNA-seq LATS KO 1 bulk RNA-seq LATS KO
- GSM9393572 bulk RNA-seq LATS KO 2 bulk RNA-seq LATS KO
- GSM9393573 bulk RNA-seq LATS KO 3 bulk RNA-seq LATS KO
- GSM9393574 bulk RNA-seq LATS KO 4 bulk RNA-seq LATS KO
- GSM9393575 bulk RNA-seq LATS KO 5 bulk RNA-seq LATS KO
- GSM9393576 bulk RNA-seq LATS KO 6 bulk RNA-seq LATS KO
- GSM9393577 bulk RNA-seq Yap OE 1 bulk RNA-seq Yap OE
- GSM9393578 bulk RNA-seq Yap OE 2 bulk RNA-seq Yap OE
- GSM9393579 bulk RNA-seq Yap OE 3 bulk RNA-seq Yap OE
- GSM9393580 bulk RNA-seq Yap OE 4 bulk RNA-seq Yap OE
- GSM9393581 bulk RNA-seq Yap OE 5 bulk RNA-seq Yap OE
- GSM9393658 MERFISH WT region1 MERFISH WT region
- GSM9393659 MERFISH WT region2 MERFISH WT region
- GSM9393660 MERFISH Lats 1wk
- GSM9393661 MERFISH Lats 4wk
- GSM9393662 MERFISH Yap 1wk region1 MERFISH Yap 1wk region
- GSM9393663 MERFISH Yap 1wk region2 MERFISH Yap 1wk region
- GSM9393664 MERFISH Yap 4wk
- GSM9713124 LATS KO, 2 weeks, repeat 1 LATS KO, 2 weeks, repeat
- GSM9713125 LATS KO, 2 weeks, repeat 2 LATS KO, 2 weeks, repeat
- GSM9713126 YAP-TG, 2 weeks, repeat 1 YAP-TG, 2 weeks, repeat
- GSM9713127 YAP-TG, 2 weeks, repeat 2 YAP-TG, 2 weeks, repeat
No close match found for this topic, so these are simply the most-viewed datasets of the same kind.
- GSE266556 Seq-Scope profiling of mouse colon sections with biopsy-induced injuries 2 samples
- GSE241708 Genomic context sensitizes regulatory elements to genetic disruption 154 samples
- GSE237089 Non-CG DNA methylation and MeCP2 stabilize repeated tuning of long genes that distinguish closely related neuron types. 108 samples
- GSE273615 In vivo armed macrophages curb liver metastasis through tumor reactive T cell rejuvenation 36 samples
- GSE266690 Single cell approaches define neural stem cell niches and identify microglial ligands that enhance precursor-mediated remyelination 33 samples
- GSE102346 Regulation of m6A transcripts by the 3ʹ→5ʹ RNA helicase YTHDC2 is essential for a successful meiotic program in the mammalian germline 32 samples
- GSE60615 miRNAs in Treg-derived Exosomes 24 samples
- GSE260699 Spatially tuneable multi-omics sequencing using light-driven combinatorial barcoding of molecules in tissues 17 samples
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.