Barrett's vs Normal esophagus vs small intestine comparison
Expression microarray · human · 19 samples
- What it is
- Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
- Organism
- Homo sapiens (human)
- Topic
- Esophageal cancerThis series is part of our curated briefing on it.
- Samples
- 19 samples
- Data you can get
- A processed expression table (series matrix) and the array files, from NCBI.
Direct links to NCBI, 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.
Whole study · RAW.tar
Everything the authors deposited as one archive (GSE13083_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.
What the files usually look like: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.
Also filed as BioProject PRJNA110909. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 19 more — browse all 19 samples with per-sample file links →
- GSE1420 Barrett's esophagus, Barrett's-associated adenocarcinomas and normal esophageal epithelium 24 samples same disease briefing · shares esophagus, barrett, normal
- GSE20099 microRNA/UCR expression profiling of human Barrett's carcinogenesis 51 samples same disease briefing · shares barrett
- GSE13898 Robust prognostic biomarkers for EAC identified by systems-level characterization of tumor transcriptome 118 samples same disease briefing
- GSE20347 Analysis of gene expression in esophageal squamous cell carcinoma (ESCC) 34 samples same disease briefing
- GSE160269 Dissecting esophageal squamous-cell carcinoma ecosystem by single-cell transcriptomic analysis 128 samples same disease briefing
- GSE180791 Proteogenomic characterization reveals that lipid droplet formation promotes esophageal squamous cell cancer progression 102 samples same disease briefing
- GSE185617 Long non-coding RNA LINC00680 functions as a ceRNA to promote esophageal squamous cell carcinoma progression through the miR-423-5p/PAK6 axis 24 samples same disease briefing
- GSE203067 Single-Cell Transcriptomic Analysis of Primary and Metastatic Tumor Ecosystems in Esophageal Squamous Cell Carcinoma 21 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.