1
|
Homiski C, Dey-Rao R, Shen S, Qu J, Melendy T. DNA damage-induced phosphorylation of a replicative DNA helicase results in inhibition of DNA replication through attenuation of helicase function. Nucleic Acids Res 2024; 52:10311-10328. [PMID: 39126317 PMCID: PMC11417368 DOI: 10.1093/nar/gkae663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 06/14/2024] [Accepted: 07/18/2024] [Indexed: 08/12/2024] Open
Abstract
A major function of the DNA damage responses (DDRs) that act during the replicative phase of the cell cycle is to inhibit initiation and elongation of DNA replication. It has been shown that DNA replication of the polyomavirus, SV40, is inhibited and its replication fork is slowed by cellular DDR responses. The inhibition of SV40 DNA replication is associated with enhanced DDR kinase phosphorylation of SV40 Large T-antigen (LT), the viral DNA helicase. Mass spectroscopy was used to identify a novel highly conserved DDR kinase site, T518, on LT. In cell-based assays expression of a phosphomimetic form of LT at T518 (T518D) resulted in dramatically decreased levels of SV40 DNA replication, but LT-dependent transcriptional activation was unaffected. Purified WT and LT T518D were analyzed in vitro. In concordance with the cell-based data, reactions using SV40 LT-T518D, but not T518A, showed dramatic inhibition of SV40 DNA replication. A myriad of LT protein-protein interactions and LT's biochemical functions were unaffected by the LT T518D mutation; however, LT's DNA helicase activity was dramatically decreased on long, but not very short, DNA templates. These results suggest that DDR phosphorylation at T518 inhibits SV40 DNA replication by suppressing LT helicase activity.
Collapse
Affiliation(s)
- Caleb Homiski
- Departments of Microbiology & Immunology and Biochemistry, and the Witebsky Center for Microbial Pathogenesis & Immunology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York at Buffalo, Buffalo, NY 14203, USA
| | - Rama Dey-Rao
- Departments of Microbiology & Immunology and Biochemistry, and the Witebsky Center for Microbial Pathogenesis & Immunology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York at Buffalo, Buffalo, NY 14203, USA
| | - Shichen Shen
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York at Buffalo, Buffalo, NY 14203, USA; NYS Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, Buffalo, NY 14203, USA
| | - Jun Qu
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York at Buffalo, Buffalo, NY 14203, USA; NYS Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, Buffalo, NY 14203, USA
| | - Thomas Melendy
- Departments of Microbiology & Immunology and Biochemistry, and the Witebsky Center for Microbial Pathogenesis & Immunology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York at Buffalo, Buffalo, NY 14203, USA
| |
Collapse
|
2
|
Lee PY, Yeoh Y, Low TY. A recent update on small‐molecule kinase inhibitors for targeted cancer therapy and their therapeutic insights from mass spectrometry‐based proteomic analysis. FEBS J 2022. [PMID: 35313089 DOI: 10.1111/febs.16442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 02/21/2022] [Accepted: 03/18/2022] [Indexed: 11/28/2022]
Affiliation(s)
- Pey Yee Lee
- UKM Medical Molecular Biology Institute (UMBI) Universiti Kebangsaan Malaysia Kuala Lumpur Malaysia
| | - Yeelon Yeoh
- UKM Medical Molecular Biology Institute (UMBI) Universiti Kebangsaan Malaysia Kuala Lumpur Malaysia
| | - Teck Yew Low
- UKM Medical Molecular Biology Institute (UMBI) Universiti Kebangsaan Malaysia Kuala Lumpur Malaysia
| |
Collapse
|
3
|
Li WJ, Wang CW, Tao L, Yan YH, Zhang MJ, Liu ZX, Li YX, Zhao HQ, Li XM, He XD, Xue Y, Dong MQ. Insulin signaling regulates longevity through protein phosphorylation in Caenorhabditis elegans. Nat Commun 2021; 12:4568. [PMID: 34315882 PMCID: PMC8316574 DOI: 10.1038/s41467-021-24816-z] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 07/01/2021] [Indexed: 12/22/2022] Open
Abstract
Insulin/IGF-1 Signaling (IIS) is known to constrain longevity by inhibiting the transcription factor FOXO. How phosphorylation mediated by IIS kinases regulates lifespan beyond FOXO remains unclear. Here, we profile IIS-dependent phosphorylation changes in a large-scale quantitative phosphoproteomic analysis of wild-type and three IIS mutant Caenorhabditis elegans strains. We quantify more than 15,000 phosphosites and find that 476 of these are differentially phosphorylated in the long-lived daf-2/insulin receptor mutant. We develop a machine learning-based method to prioritize 25 potential lifespan-related phosphosites. We perform validations to show that AKT-1 pT492 inhibits DAF-16/FOXO and compensates the loss of daf-2 function, that EIF-2α pS49 potently inhibits protein synthesis and daf-2 longevity, and that reduced phosphorylation of multiple germline proteins apparently transmits reduced DAF-2 signaling to the soma. In addition, an analysis of kinases with enriched substrates detects that casein kinase 2 (CK2) subunits negatively regulate lifespan. Our study reveals detailed functional insights into longevity.
Collapse
Affiliation(s)
- Wen-Jun Li
- School of Life Sciences, Peking University, Beijing, China
- National Institute of Biological Sciences, Beijing, China
| | - Chen-Wei Wang
- Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Nanjing University Institute of Artificial Intelligence Biomedicine, Nanjing, Jiangsu, China
| | - Li Tao
- National Institute of Biological Sciences, Beijing, China
- Department of Biology, Stanford University, Stanford, CA, USA
| | - Yong-Hong Yan
- National Institute of Biological Sciences, Beijing, China
| | - Mei-Jun Zhang
- National Institute of Biological Sciences, Beijing, China
- Annoroad Gene Tech. Co., Ltd., Beijing, China
| | - Ze-Xian Liu
- Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yu-Xin Li
- National Institute of Biological Sciences, Beijing, China
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
| | - Han-Qing Zhao
- National Institute of Biological Sciences, Beijing, China
| | - Xue-Mei Li
- School of Life Sciences, Peking University, Beijing, China
- National Institute of Biological Sciences, Beijing, China
| | - Xian-Dong He
- National Institute of Biological Sciences, Beijing, China
| | - Yu Xue
- Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China.
- Nanjing University Institute of Artificial Intelligence Biomedicine, Nanjing, Jiangsu, China.
| | - Meng-Qiu Dong
- National Institute of Biological Sciences, Beijing, China.
- Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, Beijing, China.
| |
Collapse
|
4
|
Chapman TP, Corridoni D, Shiraishi S, Pandey S, Aulicino A, Wigfield S, do Carmo Costa M, Thézénas ML, Paulson H, Fischer R, Kessler BM, Simmons A. Ataxin-3 Links NOD2 and TLR2 Mediated Innate Immune Sensing and Metabolism in Myeloid Cells. Front Immunol 2019; 10:1495. [PMID: 31379806 PMCID: PMC6659470 DOI: 10.3389/fimmu.2019.01495] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Accepted: 06/14/2019] [Indexed: 12/15/2022] Open
Abstract
The interplay between NOD2 and TLR2 following recognition of components of the bacterial cell wall peptidoglycan is well-established, however their role in redirecting metabolic pathways in myeloid cells to degrade pathogens and mount antigen presentation remains unclear. We show NOD2 and TLR2 mediate phosphorylation of the deubiquitinase ataxin-3 via RIPK2 and TBK1. In myeloid cells ataxin-3 associates with the mitochondrial cristae protein MIC60, and is required for oxidative phosphorylation. Depletion of ataxin-3 leads to impaired induction of mitochondrial reactive oxygen species (mROS) and defective bacterial killing. A mass spectrometry analysis of NOD2/TLR2 triggered ataxin-3 deubiquitination targets revealed immunometabolic regulators, including HIF-1α and LAMTOR1 that may contribute to these effects. Thus, we define how ataxin-3 plays an essential role in NOD2 and TLR2 sensing and effector functions in myeloid cells.
Collapse
Affiliation(s)
- Thomas P. Chapman
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Daniele Corridoni
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Seiji Shiraishi
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Sumeet Pandey
- Translational Gastroenterology Unit, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Anna Aulicino
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Simon Wigfield
- Department of Oncology, University of Oxford, Oxford, United Kingdom
| | | | - Marie-Laëtitia Thézénas
- Nuffield Department of Medicine, Target Discovery Institute, University of Oxford, Oxford, United Kingdom
| | - Henry Paulson
- Department of Neurology, University of Michigan, Ann Arbor, MI, United States
| | - Roman Fischer
- Nuffield Department of Medicine, Target Discovery Institute, University of Oxford, Oxford, United Kingdom
| | - Benedikt M. Kessler
- Nuffield Department of Medicine, Target Discovery Institute, University of Oxford, Oxford, United Kingdom
| | - Alison Simmons
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| |
Collapse
|
5
|
Miao B, Xiao Q, Chen W, Li Y, Wang Z. Evaluation of functionality for serine and threonine phosphorylation with different evolutionary ages in human and mouse. BMC Genomics 2018; 19:431. [PMID: 29866046 PMCID: PMC5987384 DOI: 10.1186/s12864-018-4661-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Accepted: 04/12/2018] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Rapid evolution of phosphorylation sites could provide raw materials of natural selection to fit the environment by rewiring the regulation of signal pathways. However, a large part of phosphorylation sites was suggested to be non-functional. Although the new-arising phosphorylation sites with little functional implications prevailed in fungi, the evolutionary performance of vertebrate phosphorylation sites remained elusive. RESULTS In this study, we evaluated the functionality of human and mouse phosphorylation sites by dividing them into old, median and young age groups based on the phylogeny of vertebrates. We found the sites in the old group were more likely to be functional and involved in signaling pathways than those in the young group. A smaller proportion of sites in the young group originated from aspartate/glutamate, which could restore the ancestral functions. In addition, both the phosphorylation level and breadth was increased with the evolutionary age. Similar to cases in fungi, these results implied that the newly emerged phosphorylation sites in vertebrates were also more likely to be non-functional, especially for serine and threonine phosphorylation in disordered regions. CONCLUSIONS This study provided not only insights into the dynamics of phosphorylation evolution in vertebrates, but also new clues to identify the functional phosphorylation sites from massive noisy data.
Collapse
Affiliation(s)
- Benpeng Miao
- Key Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, People’s Republic of China
- University of Chinese Academy of Sciences, Beijing, People’s Republic of China
| | - Qingyu Xiao
- Key Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, People’s Republic of China
- University of Chinese Academy of Sciences, Beijing, People’s Republic of China
| | - Weiran Chen
- School of Life Science and Technology, Tongji University, Shanghai, People’s Republic of China
| | - Yixue Li
- Key Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, People’s Republic of China
- School of Life Science and Technology, Tongji University, Shanghai, People’s Republic of China
- Shanghai Center for Bioinformation Technology, Shanghai Industrial Technology Institute, Shanghai, People’s Republic of China
- Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai, People’s Republic of China
| | - Zhen Wang
- Key Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, People’s Republic of China
| |
Collapse
|
6
|
Vu LD, Stes E, Van Bel M, Nelissen H, Maddelein D, Inzé D, Coppens F, Martens L, Gevaert K, De Smet I. Up-to-Date Workflow for Plant (Phospho)proteomics Identifies Differential Drought-Responsive Phosphorylation Events in Maize Leaves. J Proteome Res 2016; 15:4304-4317. [DOI: 10.1021/acs.jproteome.6b00348] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Lam Dai Vu
- Department
of Plant Systems Biology, VIB, 9052 Ghent, Belgium
- Department
of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
- Medical
Biotechnology Center, VIB, 9000 Ghent, Belgium
- Department
of Biochemistry, Ghent University, 9000 Ghent, Belgium
| | - Elisabeth Stes
- Department
of Plant Systems Biology, VIB, 9052 Ghent, Belgium
- Department
of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
- Medical
Biotechnology Center, VIB, 9000 Ghent, Belgium
- Department
of Biochemistry, Ghent University, 9000 Ghent, Belgium
| | - Michiel Van Bel
- Department
of Plant Systems Biology, VIB, 9052 Ghent, Belgium
- Department
of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
| | - Hilde Nelissen
- Department
of Plant Systems Biology, VIB, 9052 Ghent, Belgium
- Department
of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
| | - Davy Maddelein
- Medical
Biotechnology Center, VIB, 9000 Ghent, Belgium
- Department
of Biochemistry, Ghent University, 9000 Ghent, Belgium
| | - Dirk Inzé
- Department
of Plant Systems Biology, VIB, 9052 Ghent, Belgium
- Department
of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
| | - Frederik Coppens
- Department
of Plant Systems Biology, VIB, 9052 Ghent, Belgium
- Department
of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
| | - Lennart Martens
- Medical
Biotechnology Center, VIB, 9000 Ghent, Belgium
- Department
of Biochemistry, Ghent University, 9000 Ghent, Belgium
| | - Kris Gevaert
- Medical
Biotechnology Center, VIB, 9000 Ghent, Belgium
- Department
of Biochemistry, Ghent University, 9000 Ghent, Belgium
| | - Ive De Smet
- Department
of Plant Systems Biology, VIB, 9052 Ghent, Belgium
- Department
of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
| |
Collapse
|
7
|
Xiao Q, Miao B, Bi J, Wang Z, Li Y. Prioritizing functional phosphorylation sites based on multiple feature integration. Sci Rep 2016; 6:24735. [PMID: 27090940 PMCID: PMC4835696 DOI: 10.1038/srep24735] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2015] [Accepted: 04/04/2016] [Indexed: 12/15/2022] Open
Abstract
Protein phosphorylation is an important type of post-translational modification that is involved in a variety of biological activities. Most phosphorylation events occur on serine, threonine and tyrosine residues in eukaryotes. In recent years, many phosphorylation sites have been identified as a result of advances in mass-spectrometric techniques. However, a large percentage of phosphorylation sites may be non-functional. Systematically prioritizing functional sites from a large number of phosphorylation sites will be increasingly important for the study of their biological roles. This study focused on exploring the intrinsic features of functional phosphorylation sites to predict whether a phosphosite is likely to be functional. We found significant differences in the distribution of evolutionary conservation, kinase association, disorder score, and secondary structure between known functional and background phosphorylation datasets. We built four different types of classifiers based on the most representative features and found that their performances were similar. We also prioritized 213,837 human phosphorylation sites from a variety of phosphorylation databases, which will be helpful for subsequent functional studies. All predicted results are available for query and download on our website (Predict Functional Phosphosites, PFP, http://pfp.biosino.org/).
Collapse
Affiliation(s)
- Qingyu Xiao
- Key Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, P. R. China.,University of Chinese Academy of Sciences, Beijing, P. R. China
| | - Benpeng Miao
- Key Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, P. R. China.,University of Chinese Academy of Sciences, Beijing, P. R. China
| | - Jie Bi
- University of Chinese Academy of Sciences, Beijing, P. R. China.,Key Lab of Systems Biology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, P. R. China
| | - Zhen Wang
- Key Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, P. R. China
| | - Yixue Li
- Key Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, P. R. China.,Shanghai Center for Bioinformation Technology, Shanghai Industrial Technology Institute, Shanghai, P. R. China
| |
Collapse
|
8
|
Herren AW, Weber DM, Rigor RR, Margulies KB, Phinney BS, Bers DM. CaMKII Phosphorylation of Na(V)1.5: Novel in Vitro Sites Identified by Mass Spectrometry and Reduced S516 Phosphorylation in Human Heart Failure. J Proteome Res 2015; 14:2298-311. [PMID: 25815641 DOI: 10.1021/acs.jproteome.5b00107] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The cardiac voltage-gated sodium channel, Na(V)1.5, drives the upstroke of the cardiac action potential and is a critical determinant of myocyte excitability. Recently, calcium (Ca(2+))/calmodulin(CaM)-dependent protein kinase II (CaMKII) has emerged as a critical regulator of Na(V)1.5 function through phosphorylation of multiple residues including S516, T594, and S571, and these phosphorylation events may be important for the genesis of acquired arrhythmias, which occur in heart failure. However, phosphorylation of full-length human Na(V)1.5 has not been systematically analyzed and Na(V)1.5 phosphorylation in human heart failure is incompletely understood. In the present study, we used label-free mass spectrometry to assess phosphorylation of human Na(V)1.5 purified from HEK293 cells with full coverage of phosphorylatable sites and identified 23 sites that were phosphorylated by CaMKII in vitro. We confirmed phosphorylation of S516 and S571 by LC-MS/MS and found a decrease in S516 phosphorylation in human heart failure, using a novel phospho-specific antibody. This work furthers our understanding of the phosphorylation of Na(V)1.5 by CaMKII under normal and disease conditions, provides novel CaMKII target sites for functional validation, and provides the first phospho-proteomic map of full-length human Na(V)1.5.
Collapse
Affiliation(s)
- Anthony W Herren
- †Department of Pharmacology, University of California Davis, Genome Building 3513, Davis, California 95616, United States
| | - Darren M Weber
- §UC Davis Genome Center, University of California Davis, 451 Health Science Drive, Davis, California 95616, United States
| | - Robert R Rigor
- †Department of Pharmacology, University of California Davis, Genome Building 3513, Davis, California 95616, United States
| | - Kenneth B Margulies
- ∥Perelman School of Medicine, University of Pennsylvania, 415 Curie Boulevard, Philadelphia, Pennsylvania 19104, United States
| | - Brett S Phinney
- §UC Davis Genome Center, University of California Davis, 451 Health Science Drive, Davis, California 95616, United States
| | - Donald M Bers
- †Department of Pharmacology, University of California Davis, Genome Building 3513, Davis, California 95616, United States
| |
Collapse
|
9
|
Liu Z, Zheng G, Dong X, Wang Z, Ying B, Zhong Y, Li Y. Investigating co-evolution of functionally associated phosphosites in human. Mol Genet Genomics 2014; 289:1217-23. [PMID: 25005854 DOI: 10.1007/s00438-014-0881-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2013] [Accepted: 06/19/2014] [Indexed: 11/30/2022]
Abstract
Phosphorylation is essential for protein function and signal transduction in eukaryotic cells. With the rapid development of mass spectrometry technology, a large number of phosphosites are identified. However, high-throughput methods of functional characterization for phosphosites are still scarce. In this study, we inspected if the co-evolution property can be used as an indicator to explore function of phosphosites through investigating co-evolutionary relationship between functionally associated phosphosites in human. In practice, the evolution attributes of phosphosites were represented with phylogenetic profiles, and then co-evolutionary correlations of functionally associated phosphosites were detected on three levels: (1) phosphosites within one protein; (2) phosphosites in different proteins participating in the same signal transduction pathways, and (3) general phosphosites. Results of the detection show that co-evolution is a general property of functionally associated phosphosites. This finding suggests to some degree that it is feasible to use the co-evolution property in exploring the function of phosphosites and investigating the functional association between them.
Collapse
Affiliation(s)
- Zhi Liu
- Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Rd., Shanghai, 200031, People's Republic of China
| | | | | | | | | | | | | |
Collapse
|
10
|
Dephoure N, Gould KL, Gygi SP, Kellogg DR. Mapping and analysis of phosphorylation sites: a quick guide for cell biologists. Mol Biol Cell 2013; 24:535-42. [PMID: 23447708 PMCID: PMC3583658 DOI: 10.1091/mbc.e12-09-0677] [Citation(s) in RCA: 188] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
A mechanistic understanding of signaling networks requires identification and analysis of phosphorylation sites. Mass spectrometry offers a rapid and highly sensitive approach to mapping phosphorylation sites. However, mass spectrometry has significant limitations that must be considered when planning to carry out phosphorylation-site mapping. Here we provide an overview of key information that should be taken into consideration before beginning phosphorylation-site analysis, as well as a step-by-step guide for carrying out successful experiments.
Collapse
Affiliation(s)
- Noah Dephoure
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115-5701, USA
| | | | | | | |
Collapse
|
11
|
The final link: tapping the power of chemical genetics to connect the molecular and biologic functions of mitotic protein kinases. Molecules 2012; 17:12172-86. [PMID: 23075814 PMCID: PMC3620603 DOI: 10.3390/molecules171012172] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2012] [Revised: 09/26/2012] [Accepted: 10/12/2012] [Indexed: 11/17/2022] Open
Abstract
During mitosis, protein kinases coordinate cellular reorganization and chromosome segregation to ensure accurate distribution of genetic information into daughter cells. Multiple protein kinases contribute to mitotic regulation, modulating molecular signaling more rapidly than possible with gene expression. However, a comprehensive understanding of how kinases regulate mitotic progression remains elusive. The challenge arises from multiple functions and substrates, a large number of “bystander” phosphorylation events, and the brief window in which all mitotic events transpire. Analog-sensitive alleles of protein kinases are powerful chemical genetic tools for rapid and specific interrogation of kinase function. Moreover, combining these tools with advanced proteomics and substrate labeling has identified phosphorylation sites on numerous protein targets. Here, we review the chemical genetic tools available to study kinase function and identify substrates. We describe how chemical genetics can also be used to link kinase function with cognate phosphorylation events to provide mechanistic detail. This can be accomplished by dissecting subsets of kinase functions and chemical genetic complementation. We believe a complete “chemical genetic toolbox” will ultimately allow a comprehensive understanding of how protein kinases regulate mitosis.
Collapse
|