YAP1 regulates thrombopoiesis by binding to MYH9 in immune thrombocytopenia
RNA-seq (gene expression) · human · 11 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
- Homo sapiens (human)
- Samples
- 11 samples: 7 × ITP vs 4 × Healthy controlGroups 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
- YAP1 regulates thrombopoiesis by binding to MYH9 in immune thrombocytopeniaBlood · 2024
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 GSE250220_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 PRJNA1052693. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 11 samples.
How we read this: 2 replicated groups read from 11 sample titles; they account for 11 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.
- GSM7975821 Healthy control1 Healthy control
- GSM7975822 Healthy control2 Healthy control
- GSM7975823 Healthy control3 Healthy control
- GSM7975824 Healthy control4 Healthy control
- GSM7975825 ITP1 ITP
- GSM7975826 ITP2 ITP
- GSM7975827 ITP3 ITP
- GSM7975828 ITP4 ITP
- GSM7975829 ITP5 ITP
- GSM7975830 ITP6 ITP
- GSM7975831 ITP7 ITP
- GSE259388 YAP1/TAZ knockdown in melanoma 54 samples shares yap1
- GSE249903 Activation of hepatocyte growth factor (HGF)/MET signaling as a mechanism of acquired resistance to a novel YAP1/TEAD small molecule inhibitor. 49 samples shares yap1
- GSE303684 YAP1 dysfunction promotes molecular properties linked to breast cancer susceptibility 41 samples shares yap1
- GSE333379 AXL phosphosite mapping links FAK1 and YAP1 signaling to erlotinib resistance in EGFR-mutant lung cancer 29 samples shares yap1
- GSE269942 YAP1 status defines two intrinsic subtypes of LCNEC with distinct molecular features and therapeutic vulnerabilities 12 samples shares yap1
- GSE333763 Targeting YAP1 Attenuates Persistent Oxidative Stress-Driven Tubular Cell Senescence 12 samples shares yap1
- GSE268836 Bulk RNAseq of FNE1 cells with ectopic expression of YAP1 and HPV E6/E7 oncogenes 12 samples shares yap1
- GSE271214 A Retinoic Acid:YAP1 signaling axis controls atrial lineage commitment [scRNA-seq] 8 samples shares yap1
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.