Effect of VGLL2-NCOA2, TEAD1-NCOA2 and YAP5SA overexpression on mRNA expression in HEK293T cells (RNA-Seq)
RNA-seq (gene expression) · human · 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
- Homo sapiens (human)
- Samples
- 12 samples: 3 × Control vs 3 × VN vs 3 × TN vs 3 × YAP5SAGroups 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
- VGLL2 and TEAD1 fusion proteins drive YAP/TAZ-independent tumorigenesis by engaging p300bioRxiv : the preprint server for biology · 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 GSE260783_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 PRJNA1083487 and SRA study SRP493179. 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.
- GSM8124532 Control1 Control
- GSM8124533 VN1 VN
- GSM8124534 TN1 TN
- GSM8124535 YAP5SA1 YAP5SA
- GSM8124536 Control2 Control
- GSM8124537 VN2 VN
- GSM8124538 TN2 TN
- GSM8124539 YAP5SA2 YAP5SA
- GSM8124540 Control3 Control
- GSM8124541 VN3 VN
- GSM8124542 TN3 TN
- GSM8124543 YAP5SA3 YAP5SA
- GSE266017 Effect of DHX29 depletion on mRNA stability in HEK293T cells 18 samples shares hek293t, mrna
- GSE270586 The specificity of gene activation was revealed by RNA-seq in the HEK293T cells transfected with the dCasMINI-VPR or dhpCasMINI-VPR system targeting IL1RN [RNA-seq] 18 samples shares hek293t, rna-seq
- GSE161368 TF overexpression assay in PDA cell lines (Bulk RNA-Seq) 69 samples shares overexpression, rna-seq
- GSE281525 RNA-sequence data of clinically never-metastatic primary small cell lung cancer cases and small cell lung cancer metastasis cases, FOXA2 knock-down and overexpression in cell lines 61 samples shares overexpression, rna-seq
- GSE280160 In vitro arrayed OVOL2 overexpression in PDA Cell Lines (bulk RNA-Seq) 51 samples shares overexpression, rna-seq
- GSE253047 mRNA sequencing of MDA-MB-231 engineered for doxycycline-inducible overexpression of wild-type or mutant myocardin related transcription factor A 24 samples shares overexpression, mrna
- GSE313800 RNA-seq of ISL1 overexpression during islet differentiation. 21 samples shares overexpression, rna-seq
- GSE301166 PURPL bidirectionally controls senescence: depletion rejuvenates fibroblasts while overexpression accelerates aging [RNA-Seq2] 18 samples shares overexpression, rna-seq
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.