PTH Counteracts Hippo Signaling via Src-dependent YAP Stabilization to Enhance Bone Marrow Stromal Cell Differentiation
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 × W20_VEH vs 3 × W20_PTH vs 3 × Y428F_VEH vs 3 × Y428F_PTHGroups 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
- PTH counteracts Hippo signaling via Src-dependent YAP stabilization to enhance bone marrow stromal cell differentiationJCI insight · 2025
Read the full summary ↓
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 GSE284675_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 PRJNA1200028 and SRA study SRP552537. Searching any of these in the dataset finder brings you back here.
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.
- GSM8690376 W20_VEH_1 W20_VEH
- GSM8690377 W20_VEH_2 W20_VEH
- GSM8690378 W20_VEH_3 W20_VEH
- GSM8690379 W20_PTH_1 W20_PTH
- GSM8690380 W20_PTH_2 W20_PTH
- GSM8690381 W20_PTH_3 W20_PTH
- GSM8690382 Y428F_VEH_1 Y428F_VEH
- GSM8690383 Y428F_VEH_2 Y428F_VEH
- GSM8690384 Y428F_VEH_3 Y428F_VEH
- GSM8690385 Y428F_PTH_1 Y428F_PTH
- GSM8690386 Y428F_PTH_2 Y428F_PTH
- GSM8690387 Y428F_PTH_3 Y428F_PTH
- GSE294336 BMAL1 and YAP cooperate to hijack enhancers and promote inflammation in the aged epidermis [RNA-seq Aged_adult] 48 samples shares yap, enhance
- GSE294339 BMAL1 and YAP cooperate to hijack enhancers and promote inflammation in the aged epidermis [RNA-seq Col14] 48 samples shares yap, enhance
- GSE329010 BMAL1 and YAP cooperate to hijack enhancers and promote inflammation in the aged epidermis [RNA-Seq] 8 samples shares yap, enhance
- GSE294389 BMAL1 and YAP cooperate to hijack enhancers and promote inflammation in the aged epidermis 131 samples shares yap, enhance
- GSE294069 BMAL1 and YAP cooperate to hijack enhancers and promote inflammation in the aged epidermis [ChIP-Seq 1] 20 samples shares yap, enhance
- GSE294070 BMAL1 and YAP cooperate to hijack enhancers and promote inflammation in the aged epidermis [ChIP-Seq 2] 15 samples shares yap, enhance
- GSE316023 AI digital pathology as a key tool providing in-depth understanding of the progression and regression of MASH and fibrosis in male mouse models 77 samples shares pth
- GSE262620 Hepatic Yap1 activates systemic catabolism and muscle loss during organ repair: evidence for a common mechanism with cancer cachexia 36 samples shares yap
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.