GEO series

A map of human circular RNAs in clinically-relevant tissues

GSE100242 Homo sapiens (human) Other 24 samples Submitted 2017/09/01 Platform GPL11154

At a glance

human · 24 samples

Organism: Homo sapiens (human)
Samples: 24 samples
Data you can get: A processed table (series matrix) and supplementary files from NCBI.

Summary (written by the submitters)

Cellular circular RNAs (circRNAs) are generated by head-to-tail splicing and are present in all multicellular organisms studied so far. Recently, circRNAs have emerged as large class of RNA which can function as post-transcriptional regulators. It has also been shown that many circRNAs are tissue- and stage specifically expressed. Moreover, the unusual stability and expression specificity make circRNAs important candidates for clinical biomarker research.

Read the full summary ↓

Here, we present a circRNA expression resource of twenty human tissues highly relevant to disease-related research: vascular smooth muscle cells (VSMCs), human umbilical vein (HUVECs), artery endothelial cells (HUAECs), atrium, vena cava, neutrophils, platelets, cerebral cortex, placenta, and samples from mesenchymal stem cell differentiation. In eight different samples from a single donor, we found highly tissue-specific circRNA expression. Circular-to-linear RNA ratios revealed that many circRNAs were higher expressed than their linear host transcripts. Among the 65 validated circRNAs, we noticed potential biomarkers. In adenosine deaminase-deficient, severe combined immunodeficiency (ADA-SCID) patients and in Wiskott-Aldrich-Syndrome (WAS) patients’ samples, we found evidence for differential circRNA expression of genes that are involved in the molecular pathogenesis of both phenotypes. Our findings underscore the need to assess circRNAs in mechanisms of human disease.

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 (GSE100242_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 PRJNA391146 and SRA study SRP109805. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 28842720) ↗

Samples in this study

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+ 24 more — browse all 24 samples with per-sample file links →

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