Literature DB >> 25373909

Rhythmic degradation explains and unifies circadian transcriptome and proteome data.

Sarah Lück1, Kevin Thurley1, Paul F Thaben1, Pål O Westermark2.   

Abstract

The rich mammalian cellular circadian output affects thousands of genes in many cell types and has been the subject of genome-wide transcriptome and proteome studies. The results have been enigmatic because transcript peak abundances do not always follow the peaks of gene-expression activity in time. We posited that circadian degradation of mRNAs and proteins plays a pivotal role in setting their peak times. To establish guiding principles, we derived a theoretical framework that fully describes the amplitudes and phases of biomolecules with circadian half-lives. We were able to explain the circadian transcriptome and proteome studies with the same unifying theory, including cases in which transcripts or proteins appeared before the onset of increased production rates. Furthermore, we estimate that 30% of the circadian transcripts in mouse liver and Drosophila heads are affected by rhythmic posttranscriptional regulation.

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Year:  2014        PMID: 25373909     DOI: 10.1016/j.celrep.2014.09.021

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


  58 in total

Review 1.  Circadian mRNA expression: insights from modeling and transcriptomics.

Authors:  Sarah Lück; Pål O Westermark
Journal:  Cell Mol Life Sci       Date:  2015-10-26       Impact factor: 9.261

Review 2.  Circadian Posttranscriptional Regulatory Mechanisms in Mammals.

Authors:  Carla B Green
Journal:  Cold Spring Harb Perspect Biol       Date:  2018-06-01       Impact factor: 10.005

3.  Principles for circadian orchestration of metabolic pathways.

Authors:  Kevin Thurley; Christopher Herbst; Felix Wesener; Barbara Koller; Thomas Wallach; Bert Maier; Achim Kramer; Pål O Westermark
Journal:  Proc Natl Acad Sci U S A       Date:  2017-02-03       Impact factor: 11.205

4.  MOSAIC: a joint modeling methodology for combined circadian and non-circadian analysis of multi-omics data.

Authors:  Hannah De Los Santos; Kristin P Bennett; Jennifer M Hurley
Journal:  Bioinformatics       Date:  2021-05-05       Impact factor: 6.937

Review 5.  What makes ribosomes tick?

Authors:  Sarah Catherine Mills; Ramya Enganti; Albrecht G von Arnim
Journal:  RNA Biol       Date:  2017-11-21       Impact factor: 4.652

6.  Circadian Proteomic Analysis Uncovers Mechanisms of Post-Transcriptional Regulation in Metabolic Pathways.

Authors:  Jennifer M Hurley; Meaghan S Jankowski; Hannah De Los Santos; Alexander M Crowell; Samuel B Fordyce; Jeremy D Zucker; Neeraj Kumar; Samuel O Purvine; Errol W Robinson; Anil Shukla; Erika Zink; William R Cannon; Scott E Baker; Jennifer J Loros; Jay C Dunlap
Journal:  Cell Syst       Date:  2018-12-12       Impact factor: 10.304

Review 7.  Circadian Rhythms, Metabolism, and Chrononutrition in Rodents and Humans.

Authors:  Jonathan D Johnston; José M Ordovás; Frank A Scheer; Fred W Turek
Journal:  Adv Nutr       Date:  2016-03-15       Impact factor: 8.701

8.  Computational modeling of the cell-autonomous mammalian circadian oscillator.

Authors:  Olga A Podkolodnaya; Natalya N Tverdokhleb; Nikolay L Podkolodnyy
Journal:  BMC Syst Biol       Date:  2017-02-24

Review 9.  New insights into non-transcriptional regulation of mammalian core clock proteins.

Authors:  Priya Crosby; Carrie L Partch
Journal:  J Cell Sci       Date:  2020-09-15       Impact factor: 5.285

10.  PERIOD-controlled deadenylation of the timeless transcript in the Drosophila circadian clock.

Authors:  Brigitte Grima; Christian Papin; Béatrice Martin; Elisabeth Chélot; Prishila Ponien; Eric Jacquet; François Rouyer
Journal:  Proc Natl Acad Sci U S A       Date:  2019-03-04       Impact factor: 11.205

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