GEO series

The long noncoding RNA expression profile of human intervertebral disc degeneration identified by microarray analysis

GSE56081 Homo sapiens (human) Non-coding RNA profiling 10 samples Submitted 2014/11/17 Platform GPL15314

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 expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

In addition to the well-known short noncoding RNAs as miRNAs, increasing evidence suggests that long noncoding RNAs (lncRNAs) act as key regulators in a wide aspect of biologic processes. Dysregulated expression of lncRNAs has been demonstrated being implicated in a variety of human diseases. However, there is relative paucity of information regarding the role of lncRNAs in intervertebral disc degeneration (IDD) hitherto.

Read the full summary ↓

We have addressed the expression profiles of miRNAs in IDD previously. To determine whether lncRNAs is differentially expressed in IDD, we employed a lncRNA-mRNA microarray analysis of human nucleus pulposus (five degenerative as IDD and five normal specimens as control). With abundant probes accounting for 33,045 lncRNAs and 30,215 coding transcripts in our microarray, microarray data profiling indicated that 18995 lncRNAs and 14635 mRNAs were detected in all samples with 2309 lncRNAs and 3017 mRNAs differentially expressed in degenerated samples. Amongst them, 164 lncRNAs (97 up and 67 down) and 265 mRNAs were highly differentially expressed with an absolute fold change greater than ten. The upregulated mRNAs included the extracellular matrix components as COL1A2, LUM, FN1ACAN, DCN and ITFG2. 1100 lncRNAs and 1379 mRNAs were altered in the same direction in at least 4 of the 5 degenerative samples with fold change greater than 2 respectively. Three lncRNAs were chosen for the real-time quantitative PCR (qRT-PCR) analysis. qRT-PCR results showed a high consistency with the microarray data.

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 (GSE56081_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 PRJNA242356. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 25280944) ↗

Samples in this study

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+ 10 more — browse all 10 samples with per-sample file links →

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