High expression of KLK5 enhances radiation resistance of 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: 5 × primary cervical cancer-R vs 5 × primary cervical cancer-RSGroups 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.
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 GSE189721_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 PRJNA784279 and SRA study SRP348261. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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.
- GSM5706363 primary cervical cancer-RR_1 primary cervical cancer…
- GSM5706364 primary cervical cancer-RR_2 primary cervical cancer…
- GSM5706365 primary cervical cancer-RR_3 primary cervical cancer…
- GSM5706366 primary cervical cancer-RR_4 primary cervical cancer…
- GSM5706367 primary cervical cancer-RR_5 primary cervical cancer…
- GSM5706368 primary cervical cancer-RS_1 primary cervical cancer…
- GSM5706369 primary cervical cancer-RS_2 primary cervical cancer…
- GSM5706370 primary cervical cancer-RS_3 primary cervical cancer…
- GSM5706371 primary cervical cancer-RS_4 primary cervical cancer…
- GSM5706372 primary cervical cancer-RS_5 primary cervical cancer…
- GSE297038 Chemoradiation Reprograms Tumor Cells and Immune Microenvironment In Cervical Cancer [bulk RNA-seq] 34 samples same disease briefing · shares radiation, cervical
- GSE308704 P4HA3 drives cervical cancer lymphatic metastasis by facilitating ACLY-mediated ferroptosis resistance [HeLa, SiHa] 12 samples same disease briefing · shares resistance, 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 radiation, cervical
- GSE255288 Alteration of BRN3A expression influences the expression of genes involved in the regulation of important biological processes in the HPV induced cervical Cancer 12 samples same disease briefing · shares cervical
- 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 cervical
- GSE306495 Elevated VAMP8 Expression Promotes Cervical Cancer Progression by Enhancing Autophagy via HIF-1 Pathway 12 samples same disease briefing · shares cervical
- GSE297095 ADAR1 expression is associated with cervical cancer progression and negatively regulates NK cell activity 8 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
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.