Disseminated tumor cell of colorectal cancer adopt the wound healing program of epidermal keratinocyte [RNA-seq]
RNA-seq (gene expression) · human · 17 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
- 17 samples: 13 distinct titles, 4 of them repeatedGroups 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 GSE270765_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 PRJNA1128132 and SRA study SRP516056. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 17 sample titles: 13 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.
- GSM8351521 HCT26-1T, control, duplicate 1
- GSM8351522 HCT26-1T, control, duplicate 2
- GSM8351523 HCT26-1T, PY-60, duplicate 1
- GSM8351524 HCT26-1T, PY-60, duplicate 2
- GSM8351525 HCT26-1T, GSK126, duplicate 1
- GSM8351526 HCT26-1T, GSK126, duplicate 2
- GSM8351527 HCT26-1T, GSK126+PY-60, duplicate 1
- GSM8351528 HCT26-1T, GSK126+PY-60, duplicate 2
- GSM8351529 M145-1T
- GSM8351530 M145-2LuM
- GSM8351531 M145-3LuM
- GSM8351532 M214-1T
- GSM8351533 M214-3LM
- GSM8351534 M51-1T
- GSM8351535 M51-2T
- GSM8351536 M51-3LM
- GSM8351537 M51-4LM
- 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, rna-seq
- GSE12032 Inherent gene signature of stage II and III colorectal cancer leads in individual recurrence 198 samples same disease briefing · shares colorectal
- GSE109308 Single-cell transcriptomic survey of adenomatous polyposis patients with germline APC mutations 97 samples same disease briefing
- GSE110009 Single cell transcriptome landscape of primary and metastatic tumor in colon cancer 76 samples same disease briefing
- GSE124480 Gene expression of human colon cancer HCT116 cells 5 samples same disease briefing
- GSE252347 RNA-Seq of human cutaneous squamous cell carcinoma cell lines and normal human epidermal keratinocytes. 12 samples shares keratinocyte, epidermal, rna-seq
- GSE312983 A single-nucleus RNA-seq atlas of colorectal cancer across the age continuum reveals distinct features of early-onset colorectal cancer 189 samples shares colorectal, rna-seq
- GSE292858 RNA-Seq analysis of tumor and matched normal samples from colorectal cancer patients. 73 samples shares colorectal, rna-seq
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.