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RNA
Article
Data sources: UnpayWall
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PubMed Central
Other literature type . 2014
License: CC BY NC
Data sources: PubMed Central
RNA
Article . 2014 . Peer-reviewed
Data sources: Crossref
RNA
Article . 2014
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Ribosome-omics of the human ribosome

Authors: Gupta, Varun; Warner, Jonathan R.;

Ribosome-omics of the human ribosome

Abstract

The torrent of RNA-seq data becoming available not only furnishes an overview of the entire transcriptome but also provides tools to focus on specific areas of interest. Our focus on the synthesis of ribosomes asked whether the abundance of mRNAs encoding ribosomal proteins (RPs) matched the equimolar need for the RPs in the assembly of ribosomes. We were at first surprised to find, in the mapping data of ENCODE and other sources, that there were nearly 100-fold differences in the level of the mRNAs encoding the different RPs. However, after correcting for the mapping ambiguities introduced by the presence of more than 2000 pseudogenes derived from RP mRNAs, we show that for 80%–90% of the RP genes, the molar ratio of mRNAs varies less than threefold, with little tissue specificity. Nevertheless, since the RPs are needed in equimolar amounts, there must be sluggish or regulated translation of the more abundant RP mRNAs and/or substantial turnover of unused RPs. In addition, seven of the RPs have subsidiary genes, three of which are pseudogenes that have been “rescued” by the introduction of promoters and/or upstream introns. Several of these are transcribed in a tissue-specific manner, e.g., RPL10L in testis and RPL3L in muscle, leading to potential variation in ribosome structure from one tissue to another. Of the 376 introns in the RP genes, a single one is alternatively spliced in a tissue-specific manner.

Related Organizations
Keywords

Ribosomal Proteins, Proteome, Sequence Homology, Amino Acid, Bioinformatics, Sequence Analysis, RNA, RNA Splicing, Molecular Sequence Data, Chromosome Mapping, Genomics, Humans, Amino Acid Sequence, RNA, Messenger, Ribosomes

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
83
Top 1%
Top 10%
Top 10%
Green
bronze