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Series GSE30554 Query DataSets for GSE30554
Status Public on Aug 28, 2011
Title Integrative Annotation of Human Large Intergenic Non-Coding RNAs Reveals Global Properties and Specific Subclasses
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Non-coding RNA profiling by high throughput sequencing
Summary Large intergenic non-coding RNAs (lincRNAs) are emerging as key regulators of diverse cellular processes. Determining the function of individual lincRNAs remains a challenge. Recent advances in RNA sequencing (RNA-Seq) and computational methods allow for an unprecedented analysis of such transcripts. Here, we present an integrative approach to define a reference catalogue of over 8,000 human lincRNAs. Our catalogue unifies previously existing annotation sources with transcripts we assembled from RNA-Seq data collected from ~4 billion RNA-Seq reads across 24 tissues and cell types. We characterize each lincRNA by a panorama of more than 30 properties, including sequence, structural, transcriptional, and orthology features. We find that lincRNA expression is strikingly tissue specific compared to coding genes, and that they are typically co-expressed with their neighboring genes, albeit to a similar extent to that of pairs of neighboring protein-coding genes. We distinguish an additional sub-set of transcripts that have high evolutionary conservation but may include short open reading frames, and may serve either as lincRNAs or as small peptides. Our integrated, comprehensive, yet conservative reference catalogue of human lincRNAs reveals the global properties of lincRNAs and will facilitate experimental studies and further functional classification of these genes.
 
Overall design We extracted profiled the transcriptome expression polyadenylated mRNA-Seq. We then used these to reconstruct the transcriptome using de-novo assemblers and identify long non coding RNAs and their expression.
 
Contributor(s) Cabili MN, Trapnell C, Goff L, Tazon-Vega B, Koziol M, Regev A, Rinn JL
Citation(s) 21890647
Submission date Jul 11, 2011
Last update date May 15, 2019
Contact name Nataly Moran Cabili
E-mail(s) nmcabili@fas.harvard.edu
Organization name Broad Institute ; Harvard University
Street address 7 Cambridge Center
City Cambridge
State/province MA
ZIP/Postal code 02142
Country USA
 
Platforms (1)
GPL9115 Illumina Genome Analyzer II (Homo sapiens)
Samples (9)
GSM759885 RNA-Seq Brain
GSM759886 RNA-Seq Testes
GSM759887 RNA-Seq Liver
Relations
SRA SRP007494
BioProject PRJNA144473

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE30554_RAW.tar 19.9 Gb (http)(custom) TAR (of BAM)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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