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Title: Small RNA deep sequencing of cellular subcompartments      
dateReleased:
05-07-2014
description:
RNA deep sequencing efforts have revealed abundant expression of small RNAs derived from small nucleolar (sno) RNAs. We employ here spatial RNA deep sequencing to assess the expression of 10-40 nt small RNAs in subcellular compartments of HeLa cells. Total cellular, cytoplasmic, nuclear and nucleolar fractions were isolated, RNA was purified and size-fractionated in a two-step process to yield 10-40 nt RNA fractions. cDNA libraries were constructed and sequenced on a Ion Torrent platform. Vast majority of cellular, cytoplasmic and nuclear small RNA reads were identified as miRNAs. We found the expression of eleven ten miRNAs in the nucleolar preparations using a cut-off rate of 10 reads. Several miRNAs had a greater relative abundance in the nucleolus compared to the other compartments. The nucleolar small RNAs had a unique size distribution consisting of 19-20 and 25 nt RNAs, which were predominantly composed of small snoRNA-derived box C/D RNAs (termed as sdRNA). Sequences from 47 sdRNAs were identified, which mapped both 5’ and 3’ ends of the snoRNAs, and retained conserved box C or D motifs. SdRNA reads from SNORD44 comprised 74% of all nucleolar sdRNAs, and were confirmed by Northern blotting as 20 and 25 nt RNAs. This study reveals a rich representation of cell-compartment specific expression of small RNAs and the distinctive unique composition of the nucleolar small RNAs. Examination of small RNAs in cellular subcompartments
privacy:
not applicable
aggregation:
instance of dataset
ID:
E-GEOD-50057
refinement:
raw
alternateIdentifiers:
50057
keywords:
functional genomics
dateModified:
05-31-2014
availability:
available
types:
gene expression
name:
Homo sapiens
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-50057/E-GEOD-50057.raw.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-50057/E-GEOD-50057.processed.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50057
storedIn:
Gene Expression Omnibus
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
EBI
homePage: http://www.ebi.ac.uk/
ID:
SCR:004727
name:
European Bioinformatics Institute
homePage: https://www.ebi.ac.uk/arrayexpress/
ID:
SCR:002964
name:
ArrayExpress

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