%0 Journal Article %1 Kuersten2013Translation %A Kuersten, Scott %A Radek, Agnes %A Vogel, Christine %A Penalva, Luiz O. F. %D 2013 %I John Wiley & Sons, Inc. %J WIREs RNA %K bt3240 regulation translation %P n/a %R 10.1002/wrna.1173 %T Translation regulation gets its 'omics' moment %U http://dx.doi.org/10.1002/wrna.1173 %X The fate of cellular RNA is largely determined by complex networks of protein–RNA interactions through ribonucleoprotein (RNP) complexes. Despite their relatively short half-life, transcripts associate with many different proteins that process, modify, translate, and degrade the RNA. Following biogenesis some mRNPs are immediately directed to translation and produce proteins, but many are diverted and regulated by processes including miRNA-mediated mechanisms, transport and localization, as well as turnover. Because of this complex interplay estimates of steady-state expression by methods such as RNAseq alone cannot capture critical aspects of cellular fate, environmental response, tumorigenesis, or gene expression regulation. More selective and integrative tools are needed to measure protein–RNA complexes and the regulatory processes involved. One focus area is measurements of the transcriptome associated with ribosomes and translation. These so-called polysome or ribosome profiling techniques can evaluate translation efficiency as well as the interplay between translation initiation, elongation, and termination—subject areas not well understood at a systems biology level. Ribosome profiling is a highly promising technique that provides mRNA positional information of ribosome occupancy, potentially bridging the gap between gene expression (i.e., RNAseq and microarray analysis) and protein quantification (i.e., mass spectrometry). In combination with methods such as RNA immunoprecipitation, miRNA profiling, or proteomics, we obtain a fresh view of global post-transcriptional and translational gene regulation. In addition, these techniques also provide new insight into new regulatory elements, such as alternative open reading frames, and translation regulation under different conditions.WIREs RNA 2013. doi: 10.1002/wrna.1173 For further resources related to this article, please visit the WIREs website.

@article{Kuersten2013Translation, abstract = {The fate of cellular {RNA} is largely determined by complex networks of {protein–RNA} interactions through ribonucleoprotein ({RNP}) complexes. Despite their relatively short half-life, transcripts associate with many different proteins that process, modify, translate, and degrade the {RNA}. Following biogenesis some {mRNPs} are immediately directed to translation and produce proteins, but many are diverted and regulated by processes including {miRNA}-mediated mechanisms, transport and localization, as well as turnover. Because of this complex interplay estimates of steady-state expression by methods such as {RNAseq} alone cannot capture critical aspects of cellular fate, environmental response, tumorigenesis, or gene expression regulation. More selective and integrative tools are needed to measure {protein–RNA} complexes and the regulatory processes involved. One focus area is measurements of the transcriptome associated with ribosomes and translation. These so-called polysome or ribosome profiling techniques can evaluate translation efficiency as well as the interplay between translation initiation, elongation, and termination—subject areas not well understood at a systems biology level. Ribosome profiling is a highly promising technique that provides {mRNA} positional information of ribosome occupancy, potentially bridging the gap between gene expression (i.e., {RNAseq} and microarray analysis) and protein quantification (i.e., mass spectrometry). In combination with methods such as {RNA} immunoprecipitation, {miRNA} profiling, or proteomics, we obtain a fresh view of global post-transcriptional and translational gene regulation. In addition, these techniques also provide new insight into new regulatory elements, such as alternative open reading frames, and translation regulation under different {conditions.WIREs} {RNA} 2013. doi: 10.1002/wrna.1173 For further resources related to this article, please visit the {WIREs} website.}, added-at = {2018-12-02T16:09:07.000+0100}, author = {Kuersten, Scott and Radek, Agnes and Vogel, Christine and Penalva, Luiz O. F.}, biburl = {https://www.bibsonomy.org/bibtex/23fa233442a2d512455640e0e16007f50/karthikraman}, citeulike-article-id = {12414484}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/wrna.1173}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/23677826}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=23677826}, day = 1, doi = {10.1002/wrna.1173}, interhash = {28bdf71814b04c687cf92f1f9d98c668}, intrahash = {3fa233442a2d512455640e0e16007f50}, issn = {1757-7012}, journal = {WIREs RNA}, keywords = {bt3240 regulation translation}, month = may, pages = {n/a}, pmid = {23677826}, posted-at = {2013-06-13 13:47:17}, priority = {2}, publisher = {John Wiley \& Sons, Inc.}, timestamp = {2018-12-02T16:09:07.000+0100}, title = {Translation regulation gets its 'omics' moment}, url = {http://dx.doi.org/10.1002/wrna.1173}, year = 2013 }