GEO series

microRNA/UCR expression profiling of human Barrett's carcinogenesis

GSE20099 Homo sapiens (human) Non-coding RNA profiling 51 samples Submitted 2010/01/30 Platform GPL8871

At a glance

Non-coding RNA profiling · human · 51 samples

What it is: Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism: Homo sapiens (human)
Topic: Esophageal cancerThis series is part of our curated briefing on it.
Samples: 51 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

To test the hypothesis that there are specific miRNA/UCR expression signature which characterizes Barrett's esophagus development and progression, we performed miRNA/UCR microarray analysis comparing normal esophageal squamous epithelium with all the phenotypic lesions seen in the Barrett's carcinogenic process

This dataset

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Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗

3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE20099_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Whole study · RAW.tar ↓

Also filed as BioProject PRJNA124347. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 21128279) ↗

Samples in this study

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+ 51 more — browse all 51 samples with per-sample file links →

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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
GSE13898 Robust prognostic biomarkers for EAC identified by systems-level characterization of tumor transcriptome 118 samples same disease briefing
GSE180791 Proteogenomic characterization reveals that lipid droplet formation promotes esophageal squamous cell cancer progression 102 samples same disease briefing

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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.