Mesenchymal Colorectal Cancers Secrete Vesicles With Unique Cargo That Can Be Used For Liquid Biopsy Based Diagnostics [RNA-seq plasma]
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)
- Samples
- 17 samples: 17 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.
- Paper
- Mesenchymal Colorectal Cancers Secrete Vesicles With Unique Cargo That Can Be Used for Liquid Biopsy Based DiagnosticsJournal of extracellular vesicles · 2025
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 GSE280384_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 PRJNA1178278. 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 17 sample titles: 17 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.
- GSM8596524 CRC01 RNA
- GSM8596525 CRC02 RNA
- GSM8596526 CRC03 RNA
- GSM8596527 CRC04 RNA
- GSM8596528 CRC05 RNA
- GSM8596529 CRC06 RNA
- GSM8596530 CRC07 RNA
- GSM8596531 CRC08 RNA
- GSM8596532 CRC09 RNA
- GSM8596533 CRC10 RNA
- GSM8596534 CRC11 RNA
- GSM8596535 CRC12 RNA
- GSM8596536 CRC13 RNA
- GSM8596537 CRC14 RNA
- GSM8596538 CRC15 RNA
- GSM8596539 CRC16 RNA
- GSM8596540 CRC17 RNA
- 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
- GSE319722 Spatial dynamics links PD-L1 and Tumor-Associated Macrophage–Enriched Niches to Immune and Mesenchymal States in microsatellite stable colorectal cancer 117 samples shares mesenchymal, colorectal
- GSE297395 Extracellular vesicles and their RNA cargo facilitate bidirectional cross-kingdom communication between human and bacterial cells [RNA-Seq] 105 samples shares vesicles, rna-seq
- GSE292858 RNA-Seq analysis of tumor and matched normal samples from colorectal cancer patients. 73 samples shares colorectal, rna-seq
- GSE294300 Single-cell gene expression profiles of cells from primary colorectal cancer and adjacent normal tissue [scRNA-Seq] 36 samples shares colorectal, rna-seq
- GSE348445 Identification and Characterization of Adrenergic and Mesenchymal Cancer Cell States in Neuroblastoma Using Spatial-Omics [RNA-Seq] 33 samples shares mesenchymal, rna-seq
- GSE289499 Uncovering Stage-Specific Biomarkers in Colorectal Cancer: RNA-Seq Analysis of Adenoma and Carcinoma Progression 29 samples shares colorectal, rna-seq
- 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 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.