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Title: A regression-based analysis of ribosome-profiling data reveals a conserved complexity to mammalian translation      
dateReleased:
12-03-2015
description:
A fundamental goal of genomics is to identify the complete set of expressed proteins. Automated annotation strategies rely on assumptions about protein-coding sequences (CDSs), e.g., they are conserved, do not overlap, and exceed a minimum length. However, an increasing number of newly discovered proteins violate these rules. Here we present an experimental and analytical framework, based on ribosome profiling and linear regression, for systematic identification and quantification of translation. Application of this approach to lipopolysaccharide-stimulated mouse dendritic cells and HCMV-infected human fibroblasts identifies thousands of novel CDSs, including micropeptides and variants of known proteins, that bear the hallmarks of canonical translation and exhibit comparable translation levels and dynamics to annotated CDSs. Remarkably, many translation events are identified in both mouse and human cells even when the peptide sequence is not conserved. Our work thus reveals an unexpected complexity to mammalian translation suited to provide both conserved regulatory or protein-based functions. 37 ribosome footprint samples from mouse BMDCs across a time course of LPS stimulation and in the presence or absence of translation inhibitors cycloheximide, harringtonine, or lactimidomycin. A mock (non-LPS stimulated) time course is also included, collected in the presence of cycloheximide. Two replicates are available for the LPS timecourse under CHX treatment.
privacy:
not applicable
aggregation:
instance of dataset
ID:
E-GEOD-74139
refinement:
raw
alternateIdentifiers:
74139
keywords:
functional genomics
dateModified:
12-13-2015
availability:
available
types:
gene expression
name:
Mus musculus
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-74139/E-GEOD-74139.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-74139/E-GEOD-74139.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=GSE74139
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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