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LNCaP Prostate Cancer Cells: Control vs. siRNA-PCAT1 Treated

GSE29886 Homo sapiens (human) Expression microarray 9 samples Submitted 2011/07/28 Platform GPL4133
At a glance

Expression microarray · human · 9 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Samples
9 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Transcriptional profiling of LNCaP prostate cancer cells comparing control siRNA-treated LNCaP cells with LNCaP cells treated with siRNAs targeting Prostate Cancer Associated Transcript-1 (PCAT1), an uncharacterized long non-coding RNA. High-throughput sequencing of polyA+ RNA (RNA-Seq) in human cancer shows remarkable potential to identify both novel disease-specific markers for clinical uses and uncharacterized aspects of tumor biology, particularly non-coding RNA (ncRNA) species.
Read the full summary ↓
To illustrate this approach, we employed RNA-Seq on a cohort of 102 prostate tissues and cells lines and found that aberrant expression profiles of novel tissue-specific ncRNAs distinguished benign, cancerous, and metastatic tumors. Among these, a novel prostate-cancer specific ncRNA (termed PCAT-1) defined a subset of aggressive cancers with low expression of the epigenetic regulator EZH2, a component of the Polycomb Repressive Complex 2 (PRC2) commonly upregulated in metastatic cancers. In vitro assays for core PRC2 genes indicated that the PRC2 complex directly binds and represses PCAT-1, and that the PCAT-1 transcript reciprocally binds PRC2, suggesting a regulatory feedback mechanism. Importantly, knockdown of PCAT-1 in cells with high levels of endogenous PCAT-1 transcript showed changes in cell proliferation and transcriptional regulation of several key biological processes, including cell cycle. Finally, we showed that ncRNA expression signatures, including PCAT-1, were effective for the non-invasive detection of prostate cancer, and that high ncRNA expression signature values correlate with high-grade histology. The findings presented herein establish the utility of RNA-Seq to comprehensively identify unannotated ncRNAs that define human disease states and characterize PCAT-1 as a novel regulator of cell proliferation mechanistically linked to PRC2 and contributory to translational clinical tests for prostate cancer.
This dataset
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.

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 (GSE29886_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 PRJNA155331. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 9 more — browse all 9 samples with per-sample file links →

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