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
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: 12 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.
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 GSE289927_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 PRJNA1225309 and SRA study SRP564777. 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 12 sample titles: 12 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.
- GSM8801635 C33ARB1 Tri
- GSM8801637 C33ARB2 Tri
- GSM8801639 C33ARB3 Tri
- GSM8801641 C33ARB1 Sc
- GSM8801643 C33ARB2 Sc
- GSM8801645 C33ARB3 Sc
- GSM8801647 CaSkiRB1 Tri
- GSM8801649 CaSkiRB2 Tri
- GSM8801651 CaSkiRB3 Tri
- GSM8801653 CaSkiRB1 Sc
- GSM8801655 CaSkiRB2 Sc
- GSM8801658 CaSkiRB3 Sc
- 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 mir-218-5p, mir-124-3p, c-33a, differentially, progression, processes
- 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 processes
- GSE306495 Elevated VAMP8 Expression Promotes Cervical Cancer Progression by Enhancing Autophagy via HIF-1 Pathway 12 samples same disease briefing · shares progression
- GSE326407 EPHB2 Drives EMT-Linked Vasculogenic Mimicry and Cervical Cancer Progression via an ERK–ETV4 Transcriptional Program 9 samples same disease briefing · shares progression
- GSE297095 ADAR1 expression is associated with cervical cancer progression and negatively regulates NK cell activity 8 samples same disease briefing · shares progression
- GSE253690 Identification of differentially expressed genes in tumorigenesis of cervical cancer via next generation sequencing 6 samples same disease briefing · shares differentially
- 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
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.