Alteration of BRN3A expression influences the expression of genes involved in the regulation of important biological processes in the HPV induced cervical Cancer
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)
- Topic
- Cervical cancerThis series is part of our curated briefing on it.
- Samples
- 12 samples
- 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.
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 GSE255288_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 PRJNA1074375 and SRA study SRP488760. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 12 more — browse all 12 samples with per-sample file links →
- GSE279412 Differentially Expressed Genes in C-33A and CaSki Cells Overexpressing miR-124-3p, miR-23b-3p, or miR-218-5p Modulate Processes and Pathways Involved in Cervical Cancer Progression 23 samples same disease briefing · shares processes, involved
- GSE289927 Overexpression of miR-23b-3b+miR-218-5p+miR-124-3p differentially modifies the transcriptome of C-33A and CaSki cells and the regulation of cellular processes involved in the progression of cervical cancer 12 samples same disease briefing · shares processes, involved
- GSE261673 The Hippo pathway transcription factors YAP and TAZ play HPV-type dependent roles in cervical cancer 10 samples same disease briefing · shares hpv
- GSE325258 Residual p53 in HPV positive cervical cancer cells has gain of function properties 6 samples same disease briefing · shares hpv
- GSE316098 Spatial Transcriptomic Landscape of Invasion Patterns in Human Papillomavirus-Associated Endocervical Adenocarcinoma 186 samples same disease briefing
- 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
- GSE168244 Patient-derived organoids as a platform to study cervical cancer and viral infection 36 samples same disease briefing
- GSE299125 Paracrine Signals from HIV-1 Infected Immune Cells Reprogram Cervical Cancer Pathways 35 samples same disease briefing
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.