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Paggi RA, Albaum SP, Poetsch A, Cerletti M. Proteome Turnover Analysis in Haloferax volcanii by a Heavy Isotope Multilabeling Approach. Methods Mol Biol 2022; 2522:267-286. [PMID: 36125756 DOI: 10.1007/978-1-0716-2445-6_17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The cellular protein repertoire is highly dynamic and responsive to internal or external stimuli. Its changes are largely the consequence of the combination of protein synthesis and degradation, referred collectively as protein turnover. Different proteomics techniques have been developed to determine the whole proteome turnover of a cell, but very few have been applied to archaea. In this chapter we describe a heavy isotope multilabeling method that allowed the successful analysis of relative protein synthesis and degradation rates on the proteome scale of the halophilic archaeon Haloferax volcanii. This method combines 15N and 13C isotope metabolic labeling with high-resolution mass spectrometry and data analysis tools (QuPE web-based platform) and could be applied to different archaea.
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Affiliation(s)
- Roberto A Paggi
- Instituto de Investigaciones Biológicas, FCEyN, Universidad Nacional de Mar del Plata (UNMDP), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Mar del Plata, Argentina
| | - Stefan P Albaum
- Bioinformatics Resource Facility, Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany
| | - Ansgar Poetsch
- College of Marine Life Sciences, Ocean University of China, Qingdao, China.
- Queen Mary School, Medical College, Nanchang University, Nanchang, China.
- Plant Biochemistry, Ruhr University Bochum, Bochum, Germany.
| | - Micaela Cerletti
- Instituto de Investigaciones Biológicas, FCEyN, Universidad Nacional de Mar del Plata (UNMDP), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Mar del Plata, Argentina.
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2
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Cerletti M, Paggi R, Troetschel C, Ferrari MC, Guevara CR, Albaum S, Poetsch A, De Castro R. LonB Protease Is a Novel Regulator of Carotenogenesis Controlling Degradation of Phytoene Synthase in Haloferax volcanii. J Proteome Res 2018; 17:1158-1171. [PMID: 29411617 DOI: 10.1021/acs.jproteome.7b00809] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The membrane protease LonB is an essential protein in the archaeon Haloferax volcanii and globally impacts its physiology. However, natural substrates of the archaeal Lon protease have not been identified. The whole proteome turnover was examined in a H. volcanii LonB mutant under reduced and physiological protease levels. LC-MS/MS combined with stable isotope labeling was applied for the identification/quantitation of membrane and cytoplasm proteins. Differential synthesis and degradation rates were evidenced for 414 proteins in response to Lon expression. A total of 58 proteins involved in diverse cellular processes showed a degradation pattern (none/very little degradation in the absence of Lon and increased degradation in the presence of Lon) consistent with a LonB substrate, which was further substantiated for several of these candidates by pull-down assays. The most notable was phytoene synthase (PSY), the rate-limiting enzyme in carotenoid biosynthesis. The rapid degradation of PSY upon LonB induction in addition to the remarkable stabilization of this protein and hyperpigmentation phenotype in the Lon mutant strongly suggest that PSY is a LonB substrate. This work identifies for the first time candidate targets of the archaeal Lon protease and establishes proteolysis by Lon as a novel post-translational regulatory mechanism of carotenogenesis.
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Affiliation(s)
- Micaela Cerletti
- Instituto de Investigaciones Biológicas, Universidad Nacional de Mar del Plata (UNMDP), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) , Funes 3250 4to nivel, Mar del Plata 7600, Argentina
| | - Roberto Paggi
- Instituto de Investigaciones Biológicas, Universidad Nacional de Mar del Plata (UNMDP), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) , Funes 3250 4to nivel, Mar del Plata 7600, Argentina
| | | | - María Celeste Ferrari
- Instituto de Investigaciones Biológicas, Universidad Nacional de Mar del Plata (UNMDP), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) , Funes 3250 4to nivel, Mar del Plata 7600, Argentina
| | | | - Stefan Albaum
- Bioinformatics Resource Facility, Center for Biotechnology (CeBiTec), Bielefeld University , 33615 Bielefeld, Germany
| | - Ansgar Poetsch
- Plant Biochemistry, Ruhr University Bochum , 44801 Bochum, Germany.,School of Biomedical and Healthcare Sciences, Plymouth University , Plymouth PL4 8AA, United Kingdom
| | - Rosana De Castro
- Instituto de Investigaciones Biológicas, Universidad Nacional de Mar del Plata (UNMDP), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) , Funes 3250 4to nivel, Mar del Plata 7600, Argentina
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3
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Limberg MH, Schulte J, Aryani T, Mahr R, Baumgart M, Bott M, Wiechert W, Oldiges M. Metabolic profile of 1,5-diaminopentane producing Corynebacterium glutamicum
under scale-down conditions: Blueprint for robustness to bioreactor inhomogeneities. Biotechnol Bioeng 2016; 114:560-575. [DOI: 10.1002/bit.26184] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2016] [Revised: 09/08/2016] [Accepted: 09/16/2016] [Indexed: 11/10/2022]
Affiliation(s)
- Michael H. Limberg
- Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences; IBG-1: Biotechnology; Wilhelm-Johnen-Straße 52425 Jülich Germany
| | - Julia Schulte
- Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences; IBG-1: Biotechnology; Wilhelm-Johnen-Straße 52425 Jülich Germany
| | - Tita Aryani
- Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences; IBG-1: Biotechnology; Wilhelm-Johnen-Straße 52425 Jülich Germany
| | - Regina Mahr
- Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences; IBG-1: Biotechnology; Wilhelm-Johnen-Straße 52425 Jülich Germany
| | - Meike Baumgart
- Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences; IBG-1: Biotechnology; Wilhelm-Johnen-Straße 52425 Jülich Germany
| | - Michael Bott
- Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences; IBG-1: Biotechnology; Wilhelm-Johnen-Straße 52425 Jülich Germany
| | - Wolfgang Wiechert
- Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences; IBG-1: Biotechnology; Wilhelm-Johnen-Straße 52425 Jülich Germany
| | - Marco Oldiges
- Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences; IBG-1: Biotechnology; Wilhelm-Johnen-Straße 52425 Jülich Germany
- Institute of Biotechnology; RWTH Aachen University; Aachen Germany
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4
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Wang Z, Han QQ, Zhou MT, Chen X, Guo L. Protein turnover analysis in Salmonella Typhimurium during infection by dynamic SILAC, Topograph, and quantitative proteomics. J Basic Microbiol 2016; 56:801-11. [PMID: 26773230 DOI: 10.1002/jobm.201500315] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Accepted: 12/18/2015] [Indexed: 12/17/2022]
Abstract
Protein turnover affects protein abundance and phenotypes. Comprehensive investigation of protein turnover dynamics has the potential to provide substantial information about gene expression. Here we report a large-scale protein turnover study in Salmonella Typhimurium during infection by quantitative proteomics. Murine macrophage-like RAW 264.7 cells were infected with SILAC labeled Salmonella. Bacterial cells were extracted after 0, 30, 60, 120, and 240 min. Mass spectrometry analyses yielded information about Salmonella protein turnover dynamics and a software program named Topograph was used for the calculation of protein half lives. The half lives of 311 proteins from intracellular Salmonella were obtained. For bacteria cultured in control medium (DMEM), the half lives for 870 proteins were obtained. The calculated median of protein half lives was 69.13 and 99.30 min for the infection group and the DMEM group, respectively, indicating an elevated protein turnover at the initial stage of infection. Gene ontology analyses revealed that a number of protein functional groups were significantly regulated by infection, including proteins involved in ribosome, periplasmic space, cellular amino acid metabolic process, ion binding, and catalytic activity. The half lives of proteins involved in purine metabolism pathway were found to be significantly shortened during infection.
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Affiliation(s)
- Zhe Wang
- State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, China
| | - Qiang-Qiang Han
- State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, China
| | - Mao-Tian Zhou
- State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, China
| | - Xi Chen
- Wuhan Institute of Biotechnology, Wuhan, China
| | - Lin Guo
- State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, China
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5
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Advances in proteomics for production strain analysis. Curr Opin Biotechnol 2015; 35:111-7. [DOI: 10.1016/j.copbio.2015.05.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2015] [Revised: 04/28/2015] [Accepted: 05/12/2015] [Indexed: 11/22/2022]
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Seifert R, Flick M, Bönigk W, Alvarez L, Trötschel C, Poetsch A, Müller A, Goodwin N, Pelzer P, Kashikar ND, Kremmer E, Jikeli J, Timmermann B, Kuhl H, Fridman D, Windler F, Kaupp UB, Strünker T. The CatSper channel controls chemosensation in sea urchin sperm. EMBO J 2014; 34:379-92. [PMID: 25535245 DOI: 10.15252/embj.201489376] [Citation(s) in RCA: 71] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Sperm guidance is controlled by chemical and physical cues. In many species, Ca(2+) bursts in the flagellum govern navigation to the egg. In Arbacia punctulata, a model system of sperm chemotaxis, a cGMP signaling pathway controls these Ca(2+) bursts. The underlying Ca(2+) channel and its mechanisms of activation are unknown. Here, we identify CatSper Ca(2+) channels in the flagellum of A. punctulata sperm. We show that CatSper mediates the chemoattractant-evoked Ca(2+) influx and controls chemotactic steering; a concomitant alkalization serves as a highly cooperative mechanism that enables CatSper to transduce periodic voltage changes into Ca(2+) bursts. Our results reveal intriguing phylogenetic commonalities but also variations between marine invertebrates and mammals regarding the function and control of CatSper. The variations probably reflect functional and mechanistic adaptations that evolved during the transition from external to internal fertilization.
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Affiliation(s)
- Reinhard Seifert
- Center of Advanced European Studies and Research (Caesar), Abteilung Molekulare Neurosensorik, Bonn, Germany Marine Biological Laboratory, Woods Hole, MA, USA
| | - Melanie Flick
- Center of Advanced European Studies and Research (Caesar), Abteilung Molekulare Neurosensorik, Bonn, Germany
| | - Wolfgang Bönigk
- Center of Advanced European Studies and Research (Caesar), Abteilung Molekulare Neurosensorik, Bonn, Germany
| | - Luis Alvarez
- Center of Advanced European Studies and Research (Caesar), Abteilung Molekulare Neurosensorik, Bonn, Germany
| | | | - Ansgar Poetsch
- Ruhr-Universität Bochum Lehrstuhl Biochemie der Pflanzen, Bochum, Germany
| | - Astrid Müller
- Center of Advanced European Studies and Research (Caesar), Abteilung Molekulare Neurosensorik, Bonn, Germany
| | - Normann Goodwin
- Marine Biological Laboratory, Woods Hole, MA, USA Laboratory of Molecular Signalling, Babraham Institute, Cambridge, UK
| | - Patric Pelzer
- Marine Biological Laboratory, Woods Hole, MA, USA Institut für Anatomie und Zellbiologie, Abteilung für Funktionelle Neuroanatomie, Universität Heidelberg, Heidelberg, Germany
| | - Nachiket D Kashikar
- Marine Biological Laboratory, Woods Hole, MA, USA Sussex Neuroscience, School of Life Sciences, University of Sussex, Falmer, Brighton, UK
| | - Elisabeth Kremmer
- Helmholtz-Zentrum München, Institut für Molekulare Immunologie, München, Germany
| | - Jan Jikeli
- Center of Advanced European Studies and Research (Caesar), Abteilung Molekulare Neurosensorik, Bonn, Germany
| | | | - Heiner Kuhl
- Max-Planck-Institut für Molekulare Genetik, Berlin, Germany
| | - Dmitry Fridman
- Center of Advanced European Studies and Research (Caesar), Abteilung Molekulare Neurosensorik, Bonn, Germany Marine Biological Laboratory, Woods Hole, MA, USA
| | - Florian Windler
- Center of Advanced European Studies and Research (Caesar), Abteilung Molekulare Neurosensorik, Bonn, Germany Marine Biological Laboratory, Woods Hole, MA, USA
| | - U Benjamin Kaupp
- Center of Advanced European Studies and Research (Caesar), Abteilung Molekulare Neurosensorik, Bonn, Germany Marine Biological Laboratory, Woods Hole, MA, USA
| | - Timo Strünker
- Center of Advanced European Studies and Research (Caesar), Abteilung Molekulare Neurosensorik, Bonn, Germany Marine Biological Laboratory, Woods Hole, MA, USA
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7
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Nelson CJ, Alexova R, Jacoby RP, Millar AH. Proteins with high turnover rate in barley leaves estimated by proteome analysis combined with in planta isotope labeling. PLANT PHYSIOLOGY 2014; 166:91-108. [PMID: 25082890 PMCID: PMC4149734 DOI: 10.1104/pp.114.243014] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Protein turnover is a key component in cellular homeostasis; however, there is little quantitative information on degradation kinetics for individual plant proteins. We have used (15)N labeling of barley (Hordeum vulgare) plants and gas chromatography-mass spectrometry analysis of free amino acids and liquid chromatography-mass spectrometry analysis of proteins to track the enrichment of (15)N into the amino acid pools in barley leaves and then into tryptic peptides derived from newly synthesized proteins. Using information on the rate of growth of barley leaves combined with the rate of degradation of (14)N-labeled proteins, we calculate the turnover rates of 508 different proteins in barley and show that they vary by more than 100-fold. There was approximately a 9-h lag from label application until (15)N incorporation could be reliably quantified in extracted peptides. Using this information and assuming constant translation rates for proteins during the time course, we were able to quantify degradation rates for several proteins that exhibit half-lives on the order of hours. Our workflow, involving a stringent series of mass spectrometry filtering steps, demonstrates that (15)N labeling can be used for large-scale liquid chromatography-mass spectrometry studies of protein turnover in plants. We identify a series of abundant proteins in photosynthesis, photorespiration, and specific subunits of chlorophyll biosynthesis that turn over significantly more rapidly than the average protein involved in these processes. We also highlight a series of proteins that turn over as rapidly as the well-known D1 subunit of photosystem II. While these proteins need further verification for rapid degradation in vivo, they cluster in chlorophyll and thiamine biosynthesis.
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Affiliation(s)
- Clark J Nelson
- Australian Research Council Centre of Excellence in Plant Energy Biology and Centre for Comparative Analysis of Biomolecular Networks, University of Western Australia, Perth, Western Australia 6009, Australia
| | - Ralitza Alexova
- Australian Research Council Centre of Excellence in Plant Energy Biology and Centre for Comparative Analysis of Biomolecular Networks, University of Western Australia, Perth, Western Australia 6009, Australia
| | - Richard P Jacoby
- Australian Research Council Centre of Excellence in Plant Energy Biology and Centre for Comparative Analysis of Biomolecular Networks, University of Western Australia, Perth, Western Australia 6009, Australia
| | - A Harvey Millar
- Australian Research Council Centre of Excellence in Plant Energy Biology and Centre for Comparative Analysis of Biomolecular Networks, University of Western Australia, Perth, Western Australia 6009, Australia
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8
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Lahtvee PJ, Seiman A, Arike L, Adamberg K, Vilu R. Protein turnover forms one of the highest maintenance costs in Lactococcus lactis. MICROBIOLOGY-SGM 2014; 160:1501-1512. [PMID: 24739216 DOI: 10.1099/mic.0.078089-0] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Protein turnover plays an important role in cell metabolism by regulating metabolic fluxes. Furthermore, the energy costs for protein turnover have been estimated to account for up to a third of the total energy production during cell replication and hence may represent a major limiting factor in achieving either higher biomass or production yields. This work aimed to measure the specific growth rate (μ)-dependent abundance and turnover rate of individual proteins, estimate the ATP cost for protein production and turnover, and compare this with the total energy balance and other maintenance costs. The lactic acid bacteria model organism Lactococcus lactis was used to measure protein turnover rates at μ = 0.1 and 0.5 h(-1) in chemostat experiments. Individual turnover rates were measured for ~75% of the total proteome. On average, protein turnover increased by sevenfold with a fivefold increase in growth rate, whilst biomass yield increased by 35%. The median turnover rates found were higher than the specific growth rate of the bacterium, which suggests relatively high energy consumption for protein turnover. We found that protein turnover costs alone account for 38 and 47% of the total energy produced at μ = 0.1 and 0.5 h(-1), respectively, and gene ontology groups Energy metabolism and Translation dominated synthesis costs at both growth rates studied. These results reflect the complexity of metabolic changes that occur in response to changes in environmental conditions, and signify the trade-off between biomass yield and the need to produce ATP for maintenance processes.
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Affiliation(s)
- Petri-Jaan Lahtvee
- Competence Centre of Food and Fermentation Technologies, Akadeemia tee 15a, 12618 Tallinn, Estonia.,Department of Chemistry, Tallinn University of Technology, Akadeemia tee 15, 12618 Tallinn, Estonia
| | - Andrus Seiman
- Competence Centre of Food and Fermentation Technologies, Akadeemia tee 15a, 12618 Tallinn, Estonia
| | - Liisa Arike
- Competence Centre of Food and Fermentation Technologies, Akadeemia tee 15a, 12618 Tallinn, Estonia.,Department of Food Processing, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia
| | - Kaarel Adamberg
- Department of Food Processing, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia.,Competence Centre of Food and Fermentation Technologies, Akadeemia tee 15a, 12618 Tallinn, Estonia.,Department of Chemistry, Tallinn University of Technology, Akadeemia tee 15, 12618 Tallinn, Estonia
| | - Raivo Vilu
- Competence Centre of Food and Fermentation Technologies, Akadeemia tee 15a, 12618 Tallinn, Estonia.,Department of Chemistry, Tallinn University of Technology, Akadeemia tee 15, 12618 Tallinn, Estonia
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9
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Nelson CJ, Li L, Millar AH. Quantitative analysis of protein turnover in plants. Proteomics 2014; 14:579-92. [DOI: 10.1002/pmic.201300240] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2013] [Revised: 10/02/2013] [Accepted: 10/14/2013] [Indexed: 12/22/2022]
Affiliation(s)
- Clark J. Nelson
- ARC Centre of Excellence in Plant Energy Biology; University of Western Australia; WA Australia
- Centre for Comparative Analysis of Biomolecular Networks; University of Western Australia; WA Australia
| | - Lei Li
- ARC Centre of Excellence in Plant Energy Biology; University of Western Australia; WA Australia
- Centre for Comparative Analysis of Biomolecular Networks; University of Western Australia; WA Australia
| | - A. Harvey Millar
- ARC Centre of Excellence in Plant Energy Biology; University of Western Australia; WA Australia
- Centre for Comparative Analysis of Biomolecular Networks; University of Western Australia; WA Australia
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10
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Fierro-Monti I, Racle J, Hernandez C, Waridel P, Hatzimanikatis V, Quadroni M. A novel pulse-chase SILAC strategy measures changes in protein decay and synthesis rates induced by perturbation of proteostasis with an Hsp90 inhibitor. PLoS One 2013; 8:e80423. [PMID: 24312217 PMCID: PMC3842330 DOI: 10.1371/journal.pone.0080423] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2013] [Accepted: 10/02/2013] [Indexed: 11/18/2022] Open
Abstract
Standard proteomics methods allow the relative quantitation of levels of thousands of proteins in two or more samples. While such methods are invaluable for defining the variations in protein concentrations which follow the perturbation of a biological system, they do not offer information on the mechanisms underlying such changes. Expanding on previous work [1], we developed a pulse-chase (pc) variant of SILAC (stable isotope labeling by amino acids in cell culture). pcSILAC can quantitate in one experiment and for two conditions the relative levels of proteins newly synthesized in a given time as well as the relative levels of remaining preexisting proteins. We validated the method studying the drug-mediated inhibition of the Hsp90 molecular chaperone, which is known to lead to increased synthesis of stress response proteins as well as the increased decay of Hsp90 "clients". We showed that pcSILAC can give information on changes in global cellular proteostasis induced by treatment with the inhibitor, which are normally not captured by standard relative quantitation techniques. Furthermore, we have developed a mathematical model and computational framework that uses pcSILAC data to determine degradation constants kd and synthesis rates Vs for proteins in both control and drug-treated cells. The results show that Hsp90 inhibition induced a generalized slowdown of protein synthesis and an increase in protein decay. Treatment with the inhibitor also resulted in widespread protein-specific changes in relative synthesis rates, together with variations in protein decay rates. The latter were more restricted to individual proteins or protein families than the variations in synthesis. Our results establish pcSILAC as a viable workflow for the mechanistic dissection of changes in the proteome which follow perturbations. Data are available via ProteomeXchange with identifier PXD000538.
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Affiliation(s)
- Ivo Fierro-Monti
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Julien Racle
- Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Celine Hernandez
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
- SIB Swiss Institute of Bioinformatics, Vital-IT group, Lausanne, Switzerland
| | - Patrice Waridel
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Vassily Hatzimanikatis
- Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Manfredo Quadroni
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
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11
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Nelson CJ, Li L, Jacoby RP, Millar AH. Degradation Rate of Mitochondrial Proteins in Arabidopsis thaliana Cells. J Proteome Res 2013; 12:3449-59. [DOI: 10.1021/pr400304r] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
- Clark J. Nelson
- ARC Centre of Excellence in Plant Energy Biology & Centre for Comparative Analysis of Biomolecular Networks, M316, The University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia
| | - Lei Li
- ARC Centre of Excellence in Plant Energy Biology & Centre for Comparative Analysis of Biomolecular Networks, M316, The University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia
| | - Richard P. Jacoby
- ARC Centre of Excellence in Plant Energy Biology & Centre for Comparative Analysis of Biomolecular Networks, M316, The University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia
| | - A. Harvey Millar
- ARC Centre of Excellence in Plant Energy Biology & Centre for Comparative Analysis of Biomolecular Networks, M316, The University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia
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12
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Carrano AC, Bennett EJ. Using the ubiquitin-modified proteome to monitor protein homeostasis function. Mol Cell Proteomics 2013; 12:3521-31. [PMID: 23704779 DOI: 10.1074/mcp.r113.029744] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
The ubiquitin system is essential for the maintenance of proper protein homeostasis function across eukaryotic species. Although the general enzymatic architecture for adding and removing ubiquitin from substrates is well defined, methods for the comprehensive investigation of cellular ubiquitylation targets have just started to emerge. Recent advances in ubiquitin-modified peptide enrichment have greatly increased the number of identified endogenous ubiquitylation targets, as well as the number of sites of ubiquitin attachment within these substrates. Herein we evaluate current strategies using mass-spectrometry-based proteomics to characterize ubiquitin and ubiquitin-like modifications. Using existing data, we describe the characteristics of the ubiquitin-modified proteome and discuss strategies for the biological interpretation of existing and future ubiquitin-based proteomic studies.
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Affiliation(s)
- Andrea C Carrano
- Division of Biological Sciences, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093
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13
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Boggess MV, Lippolis JD, Hurkman WJ, Fagerquist CK, Briggs SP, Gomes AV, Righetti PG, Bala K. The need for agriculture phenotyping: "moving from genotype to phenotype". J Proteomics 2013; 93:20-39. [PMID: 23563084 DOI: 10.1016/j.jprot.2013.03.021] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2012] [Revised: 03/12/2013] [Accepted: 03/19/2013] [Indexed: 11/28/2022]
Abstract
UNLABELLED Increase in the world population has called for the increased demand for agricultural productivity. Traditional methods to augment crop and animal production are facing exacerbating pressures in keeping up with population growth. This challenge has in turn led to the transformational change in the use of biotechnology tools to meet increased productivity for both plant and animal systems. Although many challenges exist, the use of proteomic techniques to understand agricultural problems is steadily increasing. This review discusses the impact of genomics, proteomics, metabolomics and phenotypes on plant, animal and bacterial systems to achieve global food security and safety and we highlight examples of intra and extra mural research work that is currently being done to increase agricultural productivity. BIOLOGICAL SIGNIFICANCE This review focuses on the global demand for increased agricultural productivity arising from population growth and how we can address this challenge using biotechnology. With a population well above seven billion humans, in a very unbalanced nutritional state (20% overweight, 20% risking starvation) drastic measures have to be taken at the political, infrastructure and scientific levels. While we cannot influence politics, it is our duty as scientists to see what can be done to feed humanity. Hence we highlight the transformational change in the use of biotechnology tools over traditional methods to increase agricultural productivity (plant and animal). Specifically, this review deals at length on how a three-pronged attack, namely combined genomics, proteomics and metabolomics, can help to ensure global food security and safety. This article is part of a Special Issue entitled: Translational Plant Proteomics.
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Affiliation(s)
- Mark V Boggess
- Agricultural Research Service, United States Department of Agriculture, Beltsville, MD, USA
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14
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Trötschel C, Albaum SP, Poetsch A. Proteome turnover in bacteria: current status for Corynebacterium glutamicum and related bacteria. Microb Biotechnol 2013; 6:708-19. [PMID: 23425033 PMCID: PMC3815937 DOI: 10.1111/1751-7915.12035] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2012] [Revised: 01/03/2013] [Accepted: 01/05/2013] [Indexed: 11/28/2022] Open
Abstract
With the advent of high-resolution mass spectrometry together with sophisticated data analysis and interpretation algorithms, determination of protein synthesis and degradation rates (i.e. protein turnover) on a proteome-wide scale by employing stable isotope-labelled amino acids has become feasible. These dynamic data provide a deeper understanding of protein homeostasis and stress response mechanisms in microorganisms than well-established ‘steady state’ proteomics approaches. In this article, we summarize the technological challenges and solutions both on the biochemistry/mass spectrometry and bioinformatics level for turnover proteomics with a focus on chromatographic techniques. Although the number of available case studies for Corynebacterium glutamicum and related actinobacteria is still very limited, our review illustrates the potential of protein turnover studies for an improved understanding of questions in the area of biotechnology and biomedicine. Here, new insights from investigations of growth phase transition and different stress dynamics including iron, acid and heat stress for pathogenic but also for industrial actinobacteria are presented. Finally, we will comment on the advantages of integrated software solutions for biologists and briefly discuss the remaining technical challenges and upcoming possibilities for protein turnover analysis.
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Affiliation(s)
- Christian Trötschel
- Department of Plant Biochemistry, Ruhr-University Bochum, 44780, Bochum, Germany
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Hughes C, Krijgsveld J. Developments in quantitative mass spectrometry for the analysis of proteome dynamics. Trends Biotechnol 2012; 30:668-76. [DOI: 10.1016/j.tibtech.2012.09.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2012] [Revised: 09/26/2012] [Accepted: 09/27/2012] [Indexed: 10/27/2022]
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16
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Claydon AJ, Beynon R. Proteome dynamics: revisiting turnover with a global perspective. Mol Cell Proteomics 2012; 11:1551-65. [PMID: 23125033 DOI: 10.1074/mcp.o112.022186] [Citation(s) in RCA: 94] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Although bulk protein turnover has been measured with the use of stable isotope labeled tracers for over half a century, it is only recently that the same approach has become applicable to the level of the proteome, permitting analysis of the turnover of many proteins instead of single proteins or an aggregated protein pool. The optimal experimental design for turnover studies is dependent on the nature of the biological system under study, which dictates the choice of precursor label, protein pool sampling strategy, and treatment of data. In this review we discuss different approaches and, in particular, explore how complexity in experimental design and data processing increases as we shift from unicellular to multicellular systems, in particular animals.
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Affiliation(s)
- Amy J Claydon
- Protein Function Group, Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, United Kingdom
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