Transcriptomic profiling of HCT116 and HT29 colorectal cancer cells after piR-37524 inhibition
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
- Colorectal cancerThis series is part of our curated briefing on it.
- Samples
- 12 samples: 3 × HCT116-IN vs 3 × HT29-NC vs 3 × HT29-INGroups 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
- piR-37524 Overexpression in Colorectal Cancer: A Potential Diagnostic Bio-Marker and Therapeutic TargetOncology research · 2026
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 GSE310036_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 PRJNA1365034 and SRA study SRP644928. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 9 samples.
How we read this: 3 replicated groups read from 12 sample titles; they account for 9 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.
- GSM9287009 HCT116-NC-2-NEW
- GSM9287010 HCT116-NC-3
- GSM9287011 HCT116-NC-3-NEW
- GSM9287012 HCT116-IN-1 HCT116-IN
- GSM9287013 HCT116-IN-2 HCT116-IN
- GSM9287014 HCT116-IN-3 HCT116-IN
- GSM9287015 HT29-NC-1 HT29-NC
- GSM9287016 HT29-NC-2 HT29-NC
- GSM9287017 HT29-NC-3 HT29-NC
- GSM9287018 HT29-IN-1 HT29-IN
- GSM9287019 HT29-IN-2 HT29-IN
- GSM9287020 HT29-IN-3 HT29-IN
- GSE250000 Bulk RNA-sequencing of transduced colorectal cancer cell line HCT-116 and breast cancer cell line MCF-7 overexpressing full-lenght p53β or p53β-stop-lost. 4 samples same disease briefing · shares colorectal
- GSE12032 Inherent gene signature of stage II and III colorectal cancer leads in individual recurrence 198 samples same disease briefing · shares colorectal
- GSE110009 Single cell transcriptome landscape of primary and metastatic tumor in colon cancer 76 samples same disease briefing
- GSE109308 Single-cell transcriptomic survey of adenomatous polyposis patients with germline APC mutations 97 samples same disease briefing
- GSE254323 RNA-seq of colorectal cancer cell line HCT116 and DLD-1 cells treated with PRIMA-1met or oxaliplatin or combination therapy 24 samples shares hct116, colorectal
- GSE304295 Effect of adenoviral E1A on oxaliplatin response in oxaliplatin-sensitive and resistant human colorectal cancer HCT116 cells 24 samples shares hct116, colorectal
- GSE311253 RNA-seq profiling of ADAM10 inhibition in DLD-1 and SW620 colorectal cancer cell lines 12 samples shares colorectal, inhibition
- GSE312197 MEK inhibition induces AXIN1 loss in colorectal cancer by mTOR associated suppression of protein synthesis 66 samples shares colorectal, inhibition
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.