The Hippo pathway transcription factors YAP and TAZ play HPV-type dependent roles in cervical cancer
RNA-seq (gene expression) · human · 10 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)
- Topic
- Cervical cancerThis series is part of our curated briefing on it.
- Samples
- 10 samples: 10 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
- The Hippo pathway transcription factors YAP and TAZ play HPV-type dependent roles in cervical cancerNature communications · 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 GSE261673_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 PRJNA1088398 and SRA study SRP495404. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 10 sample titles: 10 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.
- GSM8148611 HeLa shNEG 1 [A_01]
- GSM8148612 HeLa shNEG 2 [A_02]
- GSM8148613 HeLa shTAZ A 1 [A_03]
- GSM8148614 HeLa shTAZ A 2 [A_04]
- GSM8148615 HeLa shTAZ B 1 [A_05]
- GSM8148616 HeLa shTAZ B 2 [A_06]
- GSM8148617 HeLa shYAP A 1 [A_07]
- GSM8148618 HeLa shYAP A 2 [A_08]
- GSM8148619 HeLa shYAP B 1 [A_09]
- GSM8148620 HeLa shYAP B 2 [A_10]
- GSE326407 EPHB2 Drives EMT-Linked Vasculogenic Mimicry and Cervical Cancer Progression via an ERK–ETV4 Transcriptional Program 9 samples same disease briefing · shares transcription, cervical
- GSE305789 Activation of OSM-STAT3 Epigenetically Regulates Tumor-Promoting Transcriptional Programs in Cervical Cancer [RNA-Seq] 8 samples same disease briefing · shares transcription, cervical
- GSE316098 Spatial Transcriptomic Landscape of Invasion Patterns in Human Papillomavirus-Associated Endocervical Adenocarcinoma 186 samples same disease briefing · shares cervical
- GSE303300 Neoadjuvant Immune Checkpoint Blockade Before Chemoradiation for Patients with FIGO Stage IB3–IVA Cervical Squamous Carcinoma: GINECO Window-Of-Opportunity COLIBRI Study 96 samples same disease briefing · shares cervical
- GSE168244 Patient-derived organoids as a platform to study cervical cancer and viral infection 36 samples same disease briefing · shares cervical
- GSE299125 Paracrine Signals from HIV-1 Infected Immune Cells Reprogram Cervical Cancer Pathways 35 samples same disease briefing · shares cervical
- GSE297038 Chemoradiation Reprograms Tumor Cells and Immune Microenvironment In Cervical Cancer [bulk RNA-seq] 34 samples same disease briefing · shares cervical
- GSE275914 RNA sequencing of 31 pre-treatment, primary cervical cancer samples 31 samples same disease briefing · shares cervical
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.