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dc.contributor.authorOLIVARES HERNANDEZ, ROBERTO-
dc.contributor.authorBORDEL VELAZCO, SERGIO-
dc.contributor.authorNIELSEN, JENS-
dc.coverage.spatial<dc:creator id="info:eu-repo/dai/mx/cvu/101253">ROBERTO OLIVARES HERNANDEZ</dc:creator>-
dc.coverage.spatial<dc:creator id="info:eu-repo/dai/mx/cvu/0000-0001-6155-4152">JENS NIELSEN </dc:creator>-
dc.coverage.temporal<dc:subject>info:eu-repo/classification/cti/2</dc:subject>-
dc.date.accessioned2020-06-08T16:23:13Z-
dc.date.available2020-06-08T16:23:13Z-
dc.date.issued2011-
dc.identifier.citationBMC Systems Biology, vol. 5, núm. 33, February, 2011en_US
dc.identifier.urihttp://ilitia.cua.uam.mx:8080/jspui/handle/123456789/409-
dc.description.abstractThe availability of high throughput experimental methods has made possible to observe the relationships between proteome and transcirptome. The protein abundances show a positive but weak correlation with the concentrations of their cognate mRNAs. This weak correlation implies that there are other crucial effects involved in the regulation of protein translation, different from the sole availability of mRNA. It is well known that ribosome and tRNA concentrations are sources of variation in protein levels. Thus, by using integrated analysis of omics data, genomic information, transcriptome and proteome, we aim to unravel important variables affecting translation.en_US
dc.description.sponsorshipBMC Systems Biologyen_US
dc.language.isoInglésen_US
dc.publisherBioMed Centralen_US
dc.relation.haspart1752-0509-
dc.rightshttps://link.springer.com/article/10.1186/1752-0509-5-33-
dc.subjectProteínas - Investigacionesen_US
dc.subjectTransporte biológicoen_US
dc.subjectIngeniería genéticaen_US
dc.titleCodon usage variability determines the correlation between proteome and transcriptome fold changesen_US
dc.typeArtículoen_US
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