GEO series

Long non-coding RNAs and mRNAs expression analysis of HCC

GSE27462 Homo sapiens (human) Non-coding RNA profiling 10 samples Submitted 2011/09/05 Platform GPL11269

At a glance

Non-coding RNA profiling · human · 10 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)
Samples: 10 samples
Data you can get: A processed table (series matrix) and supplementary files from NCBI.

Summary (written by the submitters)

Although many protein-coding genes have been identified to be aberrantly expressed in hepatocellular carcinoma (HCC), the mechanisms that account for development and progression of HCC remain unclear. In recent years, long noncoding RNAs (lncRNAs) have been shown to have critical regulatory roles in mammalian cell biology. Many lncRNAs can result in aberrant expression of gene products that may contribute to cancer biology.

Read the full summary ↓

In this study, we first identified non-overlapping signatures of a small number of lncRNAs that are aberrantly expressed in human HCC compared with paired peritumoral tissues. Then we used real-time PCR to validate five lncRNAs whose expression was altered in HCC compared with paired peritumoral tissues. Using loss-of-function and gain-of-function approaches, we found that an lncRNA (termed lncRNA-HEIH) plays a key role in cell cycle regulation. We further demonstrated that lncRNA-HEIH bound to enhancer of zeste homolog 2 (EZH2) and that this interaction was required for the repression of EZH2 target genes. Together, these results reveal insights into the molecular regulation mechanisms of HCC cell cycle regulation and lead us to propose that lncRNAs may serve as key regulatory hubs in cancer biology.

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 (GSE27462_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 PRJNA138457. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 21769904) ↗

Samples in this study

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