The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Circadian clock-dependent and -independent rhythmic proteomes implement distinct diurnal functions in mouse liver
Open accessAbstract
Diurnal oscillations of gene expression controlled by the circadian clock underlie rhythmic physiology across most living organisms. Although such rhythms have been extensively studied at the level of transcription and mRNA accumulation, little is known about the accumulation patterns of proteins. Here, we quantified temporal profiles in the murine hepatic proteome under physiological light-dark conditions using stable isotope labeling by amino acids quantitative MS. Our analysis identified over 5,000 proteins, of which several hundred showed robust diurnal oscillations with peak phases enriched in the morning and during the night and related to core hepatic physiological functions. Combined mathematical modeling of temporal protein and mRNA profiles indicated that proteins accumulate with reduced amplitudes and significant delays, consistent with protein half-life data. Moreover, a group comprising about one-half of the rhythmic proteins showed no corresponding rhythmic mRNAs, indicating significant translational or posttranslational diurnal control. Such rhythms were highly enriched in secreted proteins accumulating tightly during the night. Also, these rhythms persisted in clock-deficient animals subjected to rhythmic feeding, suggesting that food-related entrainment signals influence rhythms in circulating plasma factors.
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“Similar to the reported proportion of rhythmic transcripts, it has been estimated that 6-20% of the murine proteome exhibits circadian rhythms in tissues such as the SCN (33,34) and liver (35)(36)(37).”
From Circadian rhythms, metabolism, and chrononutrition in rodents and humans (2016) · cites this paper as [36]
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Cox, J., & Mann, M. (2008) · Nature Biotechnology · doi:10.1038/nbt.1511 · Cited by 14,855
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566 · cited 4×
“(B) Protein half-lives (measured in NIH 3T3 cells) (19) are significantly longer in C1 and C2 (nonrhythmic proteins) compared with C3 and C4 (rhythmic proteins; P < 0.”
BackgroundMethodInfluentialAndromeda: A Peptide Search Engine Integrated into the MaxQuant Environment
Cox, J., Neuhauser, N., Michalski, A., Scheltema, R. A., Olsen, J. V., & Mann, M. (2011) · Journal of Proteome Research · doi:10.1021/pr101065j · Cited by 5,503
Central and Peripheral Circadian Clocks in Mammals
Mohawk, J. A., Green, C. B., & Takahashi, J. S. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-060909-153128 · Cited by 2,265
Transcriptional architecture and chromatin landscape of the core circadian clock in mammals
Koike, N., Yoo, S.-H., Huang, H.-C., Kumar, V., Lee, C., Kim, T.-K., & Takahashi, J. S. (2012) · Science · doi:10.1126/science.1226339 · Cited by 1,464
Mammalian Cry1 and Cry2 are essential for maintenance of circadian rhythms
Horst, G. T. J. V. D., Muijtjens, M., Kobayashi, K., Takano, R., Kanno, S.-I., Takao, M., Wit, J. D., Verkerk, A., Eker, A. P. M., Leenen, D. V., et al. (1999) · Nature · doi:10.1038/19323 · Cited by 1,402
Posttranslational Mechanisms Regulate the Mammalian Circadian Clock
Lee, C., Etchegaray, J., Cagampang, F. R. A., Loudon, A. S. I., & Reppert, S. M. (2001) · Cell · doi:10.1016/s0092-8674(01)00610-9 · Cited by 1,174
Rudic, R. D., McNamara, P., Curtis, A.-M., Boston, R. C., Panda, S., Hogenesch, J. B., & FitzGerald, G. A. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020377 · Cited by 1,059
Harmonics of Circadian Gene Transcription in Mammals
Hughes, M. E., DiTacchio, L., Hayes, K. R., Vollmers, C., Pulivarthy, S. R., Baggs, J. E., Panda, S., & Hogenesch, J. B. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000442 · Cited by 689
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Zhang, R., Lahens, N. F., Ballance, H. I., Hughes, M. E., & Hogenesch, J. B. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1408886111 · Cited by 2,304
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Asher, G., & Sassone-Corsi, P. (2015) · Cell · doi:10.1016/j.cell.2015.03.015 · Cited by 844
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Stenvers, D. J., Scheer, F. A. J. L., Schrauwen, P., la Fleur, S. E., & Kalsbeek, A. (2019) · Nature Reviews Endocrinology · doi:10.1038/s41574-018-0122-1 · Cited by 733
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Metadata
- Authors
- Mauvoisin, D., Wang, J., Jouffe, C., Martin, E., Atger, F., Waridel, P., Quadroni, M., Gachon, F., & Naef, F.
- Affiliations
- University of Lausanne (CH)
- SIB Swiss Institute of Bioinformatics (CH)
- Department of Pharmacology and Toxicology, University of Lausanne, CH-1005 Lausanne, Switzerland;
- The Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne and Swiss Institute of Bioinformatics, Lausanne CH-1015, Switzerland; and
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2013-12-16
- Volume
- 111
- Issue
- 1
- Pages
- 167-172
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC3890886
- OpenAlex
- W2027410128
- Cited by
- 329
- References
- 58
- Citations by year
- 2026: 11 · 2025: 18 · 2024: 19 · 2023: 23 · 2022: 24 · 2021: 32 · 2020: 34 · 2019: 30 · 2018: 32 · 2017: 28 · 2016: 28 · 2015: 26 · 2014: 21 · 2013: 1
- FWCI
- 13.68
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- other-oa
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- IRIS (submittedVersion)
- SERVAL (Université de Lausanne) (submittedVersion)
- Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (130714)
- Topics
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Keywords
- circadian clock, diurnal cycle, liver proteome, protein half-life, translational regulation, post-translational regulation, secreted proteins, light-dark cycle, mouse liver
- MeSH terms
- Albumins, alpha 1-Antitrypsin, Animals, Circadian Rhythm, Gene Expression Regulation, Liver, Male, Mice, Inbred C57BL, Models, Theoretical, Plasma, Protein Processing, Post-Translational, RNA, Messenger, Mass Spectrometry, Mice, Knockout, Proteome, Mice, Cryptochromes, Circadian Clocks
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