1
|
Hao H, Yao M, Wang Y, Zhang C, Liu Z, Nielsen J, Shi S, Xiao W, Yuan Y. Extending the G1 phase improves the production of lipophilic compounds in yeast by boosting enzyme expression and increasing cell size. Proc Natl Acad Sci U S A 2024; 121:e2413486121. [PMID: 39536088 PMCID: PMC11588078 DOI: 10.1073/pnas.2413486121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Accepted: 10/12/2024] [Indexed: 11/16/2024] Open
Abstract
Cell phase engineering can significantly impact protein synthesis and cell size, potentially enhancing the production of lipophilic products. This study investigated the impact of G1 phase extension on resource allocation, metabolic functions, and the unfolded protein response (UPR) in yeast, along with the potential for enhancing the production of lipophilic compounds. In brief, the regulation of the G1 phase was achieved by deleting CLN3 (G1 cyclin) in various yeast strains. This modification resulted in a 83% increase in cell volume, a 76.9% increase in dry cell weight, a 82% increase in total protein content, a 41% increase in carotenoid production, and a 159% increase in fatty alcohol production. Transcriptomic analysis revealed significant upregulation of multiple metabolic pathways involved in acetyl-CoA (acetyl coenzyme A) synthesis, ensuring an ample supply of precursors for the synthesis of lipophilic products. Furthermore, we observed improved protein synthesis, attributed to UPR activation during the prolonged G1 phase. These findings not only enhanced our understanding and application of yeast's capacity to synthesize lipophilic compounds in applied biotechnology but also offered unique insights into cellular behavior during the modified G1 phase, particularly regarding the UPR response, for basic research. This study demonstrates the potential of G1 phase intervention to increase the yield of hydrophobic compounds in yeast, providing a promising direction for further research.
Collapse
Affiliation(s)
- He Hao
- Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin300072, China
- Frontier Research Institute for Synthetic Biology, Tianjin University, Tianjin300072, China
| | - Mingdong Yao
- Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin300072, China
- Frontier Research Institute for Synthetic Biology, Tianjin University, Tianjin300072, China
| | - Ying Wang
- Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin300072, China
- Frontier Research Institute for Synthetic Biology, Tianjin University, Tianjin300072, China
| | - Chenglong Zhang
- Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin300072, China
- Frontier Research Institute for Synthetic Biology, Tianjin University, Tianjin300072, China
| | - Zihe Liu
- College of Life Science and Technology, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing100029, China
| | - Jens Nielsen
- College of Life Science and Technology, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing100029, China
- Department of Life Sciences, Chalmers University of Technology, GothenburgSE41296, Sweden
- BioInnovation Institute, CopenhagenDK2200, Denmark
| | - Shuobo Shi
- College of Life Science and Technology, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing100029, China
| | - Wenhai Xiao
- Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin300072, China
- Frontier Research Institute for Synthetic Biology, Tianjin University, Tianjin300072, China
- School of Life Sciences, Faculty of Medicine, Tianjin University, Tianjin300072, China
- Georgia Tech Shenzhen Institute, Tianjin University, Shenzhen518071, China
| | - Yingjin Yuan
- Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin300072, China
- Frontier Research Institute for Synthetic Biology, Tianjin University, Tianjin300072, China
| |
Collapse
|
2
|
No EG, Blank HM, Polymenis M. Patterns of protein synthesis in the budding yeast cell cycle: variable or constant? MICROBIAL CELL (GRAZ, AUSTRIA) 2024; 11:321-327. [PMID: 39188509 PMCID: PMC11345583 DOI: 10.15698/mic2024.08.835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 08/06/2024] [Accepted: 08/09/2024] [Indexed: 08/28/2024]
Abstract
Proteins are the principal macromolecular constituent of proliferating cells, and protein synthesis is viewed as a primary metric of cell growth. While there are celebrated examples of proteins whose levels are periodic in the cell cycle (e.g., cyclins), the concentration of most proteins was not thought to change in the cell cycle, but some recent results challenge this notion. The 'bulk' protein is the focus of this article, specifically the rate of its synthesis, in the budding yeast Saccharomyces cerevisiae.
Collapse
Affiliation(s)
- Eun-Gyu No
- Department of Biochemistry and Biophysics, Texas A&M UniversityTX, 77843U.S.A
| | - Heidi M Blank
- Department of Biochemistry and Biophysics, Texas A&M UniversityTX, 77843U.S.A
| | - Michael Polymenis
- Department of Biochemistry and Biophysics, Texas A&M UniversityTX, 77843U.S.A
| |
Collapse
|
3
|
Shabestary K, Klemm C, Carling B, Marshall J, Savigny J, Storch M, Ledesma-Amaro R. Phenotypic heterogeneity follows a growth-viability tradeoff in response to amino acid identity. Nat Commun 2024; 15:6515. [PMID: 39095345 PMCID: PMC11297284 DOI: 10.1038/s41467-024-50602-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 07/16/2024] [Indexed: 08/04/2024] Open
Abstract
In their natural environments, microorganisms mainly operate at suboptimal growth conditions with fluctuations in nutrient abundance. The resulting cellular adaptation is subject to conflicting tasks: growth or survival maximisation. Here, we study this adaptation by systematically measuring the impact of a nitrogen downshift to 24 nitrogen sources on cellular metabolism at the single-cell level. Saccharomyces lineages grown in rich media and exposed to a nitrogen downshift gradually differentiate to form two subpopulations of different cell sizes where one favours growth while the other favours viability with an extended chronological lifespan. This differentiation is asymmetrical with daughter cells representing the new differentiated state with increased viability. We characterise the metabolic response of the subpopulations using RNA sequencing, metabolic biosensors and a transcription factor-tagged GFP library coupled to high-throughput microscopy, imaging more than 800,000 cells. We find that the subpopulation with increased viability is associated with a dormant quiescent state displaying differences in MAPK signalling. Depending on the identity of the nitrogen source present, differentiation into the quiescent state can be actively maintained, attenuated, or aborted. These results establish amino acids as important signalling molecules for the formation of genetically identical subpopulations, involved in chronological lifespan and growth rate determination.
Collapse
Affiliation(s)
- Kiyan Shabestary
- Department of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK.
| | - Cinzia Klemm
- Department of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK
| | - Benedict Carling
- Department of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK
- London Biofoundry, Imperial College Translation & Innovation Hub, London, UK
| | - James Marshall
- Department of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK
- London Biofoundry, Imperial College Translation & Innovation Hub, London, UK
| | - Juline Savigny
- Department of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK
| | - Marko Storch
- London Biofoundry, Imperial College Translation & Innovation Hub, London, UK
- Department of Infectious Disease, Imperial College London, London, SW7 2AZ, UK
| | - Rodrigo Ledesma-Amaro
- Department of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK.
| |
Collapse
|
4
|
Zou J, Qin Z, Zhang L. High-resolution spatiotemporal mapping: a comprehensive view of eukaryotic cell cycle proteome dynamics. Signal Transduct Target Ther 2024; 9:137. [PMID: 38778010 PMCID: PMC11111736 DOI: 10.1038/s41392-024-01850-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 04/24/2024] [Accepted: 04/28/2024] [Indexed: 05/25/2024] Open
Affiliation(s)
- Jing Zou
- Life Sciences Institute, Second Affiliated Hospital of the Zhejiang University School of Medicine, The MOE Key Laboratory of Biosystems Homeostasis & Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Ziran Qin
- Life Sciences Institute, Second Affiliated Hospital of the Zhejiang University School of Medicine, The MOE Key Laboratory of Biosystems Homeostasis & Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Long Zhang
- Life Sciences Institute, Second Affiliated Hospital of the Zhejiang University School of Medicine, The MOE Key Laboratory of Biosystems Homeostasis & Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Zhejiang University, Hangzhou, Zhejiang, China.
- The MOE Basic Research and Innovation Center for the Targeted Therapeutics of Solid Tumors, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
- Cancer Center, Zhejiang University, Hangzhou, Zhejiang, China.
| |
Collapse
|
5
|
Litsios A, Grys BT, Kraus OZ, Friesen H, Ross C, Masinas MPD, Forster DT, Couvillion MT, Timmermann S, Billmann M, Myers C, Johnsson N, Churchman LS, Boone C, Andrews BJ. Proteome-scale movements and compartment connectivity during the eukaryotic cell cycle. Cell 2024; 187:1490-1507.e21. [PMID: 38452761 PMCID: PMC10947830 DOI: 10.1016/j.cell.2024.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 12/01/2023] [Accepted: 02/12/2024] [Indexed: 03/09/2024]
Abstract
Cell cycle progression relies on coordinated changes in the composition and subcellular localization of the proteome. By applying two distinct convolutional neural networks on images of millions of live yeast cells, we resolved proteome-level dynamics in both concentration and localization during the cell cycle, with resolution of ∼20 subcellular localization classes. We show that a quarter of the proteome displays cell cycle periodicity, with proteins tending to be controlled either at the level of localization or concentration, but not both. Distinct levels of protein regulation are preferentially utilized for different aspects of the cell cycle, with changes in protein concentration being mostly involved in cell cycle control and changes in protein localization in the biophysical implementation of the cell cycle program. We present a resource for exploring global proteome dynamics during the cell cycle, which will aid in understanding a fundamental biological process at a systems level.
Collapse
Affiliation(s)
- Athanasios Litsios
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada
| | - Benjamin T Grys
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Oren Z Kraus
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON M5S 3G4, Canada
| | - Helena Friesen
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada
| | - Catherine Ross
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Myra Paz David Masinas
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada
| | - Duncan T Forster
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Mary T Couvillion
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Stefanie Timmermann
- Institute of Molecular Genetics and Cell Biology, Department of Biology, Ulm University, Ulm 89081, Germany
| | - Maximilian Billmann
- Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, USA; Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Chad Myers
- Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, USA
| | - Nils Johnsson
- Institute of Molecular Genetics and Cell Biology, Department of Biology, Ulm University, Ulm 89081, Germany
| | | | - Charles Boone
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; RIKEN Center for Sustainable Resource Science, Wako 351-0198 Saitama, Japan.
| | - Brenda J Andrews
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada.
| |
Collapse
|
6
|
Reder GK, Bjurström EY, Brunnsåker D, Kronström F, Lasin P, Tiukova I, Savolainen OI, Dodds JN, May JC, Wikswo JP, McLean JA, King RD. AutonoMS: Automated Ion Mobility Metabolomic Fingerprinting. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2024; 35:542-550. [PMID: 38310603 PMCID: PMC10921458 DOI: 10.1021/jasms.3c00396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 01/11/2024] [Accepted: 01/17/2024] [Indexed: 02/06/2024]
Abstract
Automation is dramatically changing the nature of laboratory life science. Robotic lab hardware that can perform manual operations with greater speed, endurance, and reproducibility opens an avenue for faster scientific discovery with less time spent on laborious repetitive tasks. A major bottleneck remains in integrating cutting-edge laboratory equipment into automated workflows, notably specialized analytical equipment, which is designed for human usage. Here we present AutonoMS, a platform for automatically running, processing, and analyzing high-throughput mass spectrometry experiments. AutonoMS is currently written around an ion mobility mass spectrometry (IM-MS) platform and can be adapted to additional analytical instruments and data processing flows. AutonoMS enables automated software agent-controlled end-to-end measurement and analysis runs from experimental specification files that can be produced by human users or upstream software processes. We demonstrate the use and abilities of AutonoMS in a high-throughput flow-injection ion mobility configuration with 5 s sample analysis time, processing robotically prepared chemical standards and cultured yeast samples in targeted and untargeted metabolomics applications. The platform exhibited consistency, reliability, and ease of use while eliminating the need for human intervention in the process of sample injection, data processing, and analysis. The platform paves the way toward a more fully automated mass spectrometry analysis and ultimately closed-loop laboratory workflows involving automated experimentation and analysis coupled to AI-driven experimentation utilizing cutting-edge analytical instrumentation. AutonoMS documentation is available at https://autonoms.readthedocs.io.
Collapse
Affiliation(s)
- Gabriel K. Reder
- Department
of Computer Science and Engineering, Chalmers
University of Technology, Gothenburg 412 96, Sweden
- Department
of Applied Physics, SciLifeLab, KTH Royal
Institute of Technology, Solna 171 21, Sweden
| | - Erik Y. Bjurström
- Department
of Life Sciences, Chalmers University of
Technology, Gothenburg 412 96, Sweden
| | - Daniel Brunnsåker
- Department
of Computer Science and Engineering, Chalmers
University of Technology, Gothenburg 412 96, Sweden
| | - Filip Kronström
- Department
of Computer Science and Engineering, Chalmers
University of Technology, Gothenburg 412 96, Sweden
| | - Praphapan Lasin
- Department
of Life Sciences, Chalmers University of
Technology, Gothenburg 412 96, Sweden
| | - Ievgeniia Tiukova
- Department
of Life Sciences, Chalmers University of
Technology, Gothenburg 412 96, Sweden
| | - Otto I. Savolainen
- Department
of Life Sciences, Chalmers University of
Technology, Gothenburg 412 96, Sweden
- Institute
of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio 702 11, Finland
| | - James N. Dodds
- Chemistry
Department, The University of North Carolina
at Chapel Hill, Chapel Hill, North Carolina 27599, United States
| | - Jody C. May
- Department
of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
- Center
for Innovative Technology, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - John P. Wikswo
- Vanderbilt
Institute for Integrative Biosystems Research and Education, Vanderbilt University, Nashville, Tennessee 37235, United States
- Department
of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee 37235, United States
- Department
of Physics and Astronomy, Vanderbilt University, Nashville, Tennessee 37235, United States
- Department
of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee 37240, United States
| | - John A. McLean
- Department
of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
- Center
for Innovative Technology, Vanderbilt University, Nashville, Tennessee 37235, United States
- Vanderbilt
Institute for Integrative Biosystems Research and Education, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Ross D. King
- Department
of Computer Science and Engineering, Chalmers
University of Technology, Gothenburg 412 96, Sweden
- Department
of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, U.K.
- The Alan
Turing Institute, London NW1 2DB, U.K.
| |
Collapse
|
7
|
Penzo A, Palancade B. Puzzling out nuclear pore complex assembly. FEBS Lett 2023; 597:2705-2727. [PMID: 37548888 DOI: 10.1002/1873-3468.14713] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 07/12/2023] [Accepted: 07/17/2023] [Indexed: 08/08/2023]
Abstract
Nuclear pore complexes (NPCs) are sophisticated multiprotein assemblies embedded within the nuclear envelope and controlling the exchanges of molecules between the cytoplasm and the nucleus. In this review, we summarize the mechanisms by which these elaborate complexes are built from their subunits, the nucleoporins, based on our ever-growing knowledge of NPC structural organization and on the recent identification of additional features of this process. We present the constraints faced during the production of nucleoporins, their gathering into oligomeric complexes, and the formation of NPCs within nuclear envelopes, and review the cellular strategies at play, from co-translational assembly to the enrolment of a panel of cofactors. Remarkably, the study of NPCs can inform our perception of the biogenesis of multiprotein complexes in general - and vice versa.
Collapse
Affiliation(s)
- Arianna Penzo
- Université Paris Cité, CNRS, Institut Jacques Monod, Paris, France
| | - Benoit Palancade
- Université Paris Cité, CNRS, Institut Jacques Monod, Paris, France
| |
Collapse
|
8
|
Zhang Y, Barberis M. Exploring cell cycle-mediated regulations of glycolysis in budding yeast. Front Microbiol 2023; 14:1270487. [PMID: 37886071 PMCID: PMC10598772 DOI: 10.3389/fmicb.2023.1270487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 09/25/2023] [Indexed: 10/28/2023] Open
Abstract
Coordination of cell cycle with metabolism exists in all cell types that grow by division. It serves to build a new cell, (i) fueling building blocks for the synthesis of proteins, nucleic acids, and membranes, and (ii) producing energy through glycolysis. Cyclin-dependent kinases (Cdks) play an essential role in this coordination, thereby in the regulation of cell division. Cdks are functional homologs across eukaryotes and are the engines that drive cell cycle events and the clocks that time them. Their function is counteracted by stoichiometric inhibitors; specifically, inhibitors of cyclin-cyclin dependent kinase (cyclin/Cdk) complexes allow for their activity at specific times. Here, we provide a new perspective about the yet unknown cell cycle mechanisms impacting on metabolism. We first investigated the effect of the mitotic cyclin/Cdk1 complex Cyclin B/Cdk1-functional homolog in mammalian cells of the budding yeast Clb2/Cdk1-on yeast metabolic enzymes of, or related to, the glycolysis pathway. Six glycolytic enzymes (Glk1, Hxk2, Pgi1, Fba1, Tdh1, and Pgk1) were subjected to in vitro Cdk-mediated phosphorylation assays. Glucose-6-phosphate dehydrogenase (Zwf1), the first enzyme in the pentose phosphate pathway that is important for NADPH production, and 6-phospho-fructo-2-kinase (Pfk27), which catalyzes fructose-2,6-bisphosphate synthesis, a key regulator of glycolysis, were also included in the study. We found that, among these metabolic enzymes, Fba1 and Pgk1 may be phosphorylated by Cdk1, in addition to the known Cdk1-mediated phosphorylation of Gph1. We then investigated the possible effect of Sic1, stoichiometric inhibitor of mitotic cyclin/Cdk1 complexes in budding yeast, on the activities of three most relevant glycolytic enzymes: Hxk2, Glk1, and Tdh1. We found that Sic1 may have a negative effect on Hxk2. Altogether, we reveal possible new routes, to be further explored, through which cell cycle may regulate cellular metabolism. Because of the functional homology of cyclin/Cdk complexes and their stoichiometric inhibitors across evolution, our findings may be relevant for the regulation of cell division in eukaryotes.
Collapse
Affiliation(s)
- Yanfei Zhang
- Molecular Systems Biology, School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
- Synthetic Systems Biology and Nuclear Organization, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands
| | - Matteo Barberis
- Molecular Systems Biology, School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
- Synthetic Systems Biology and Nuclear Organization, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands
- Centre for Mathematical and Computational Biology, CMCB, University of Surrey, Guildford, United Kingdom
| |
Collapse
|
9
|
Okreglak V, Ling R, Ingaramo M, Thayer NH, Millett-Sikking A, Gottschling DE. Cell cycle-linked vacuolar pH dynamics regulate amino acid homeostasis and cell growth. Nat Metab 2023; 5:1803-1819. [PMID: 37640943 PMCID: PMC10590757 DOI: 10.1038/s42255-023-00872-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 07/21/2023] [Indexed: 08/31/2023]
Abstract
Amino acid homeostasis is critical for many cellular processes. It is well established that amino acids are compartmentalized using pH gradients generated between organelles and the cytoplasm; however, the dynamics of this partitioning has not been explored. Here we develop a highly sensitive pH reporter and find that the major amino acid storage compartment in Saccharomyces cerevisiae, the lysosome-like vacuole, alkalinizes before cell division and re-acidifies as cells divide. The vacuolar pH dynamics require the uptake of extracellular amino acids and activity of TORC1, the v-ATPase and the cycling of the vacuolar specific lipid phosphatidylinositol 3,5-bisphosphate, which is regulated by the cyclin-dependent kinase Pho85 (CDK5 in mammals). Vacuolar pH regulation enables amino acid sequestration and mobilization from the organelle, which is important for mitochondrial function, ribosome homeostasis and cell size control. Collectively, our data provide a new paradigm for the use of dynamic pH-dependent amino acid compartmentalization during cell growth/division.
Collapse
Affiliation(s)
- Voytek Okreglak
- Calico Life Sciences, LLC, South San Francisco, CA, USA.
- Altos Labs, Redwood City, CA, USA.
| | - Rachel Ling
- Calico Life Sciences, LLC, South San Francisco, CA, USA
| | | | | | | | | |
Collapse
|
10
|
Bezold F, Scheffer J, Wendering P, Razaghi-Moghadam Z, Trauth J, Pook B, Nußhär H, Hasenjäger S, Nikoloski Z, Essen LO, Taxis C. Optogenetic control of Cdc48 for dynamic metabolic engineering in yeast. Metab Eng 2023; 79:97-107. [PMID: 37422133 DOI: 10.1016/j.ymben.2023.06.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 06/25/2023] [Accepted: 06/26/2023] [Indexed: 07/10/2023]
Abstract
Dynamic metabolic engineering is a strategy to switch key metabolic pathways in microbial cell factories from biomass generation to accumulation of target products. Here, we demonstrate that optogenetic intervention in the cell cycle of budding yeast can be used to increase production of valuable chemicals, such as the terpenoid β-carotene or the nucleoside analog cordycepin. We achieved optogenetic cell-cycle arrest in the G2/M phase by controlling activity of the ubiquitin-proteasome system hub Cdc48. To analyze the metabolic capacities in the cell cycle arrested yeast strain, we studied their proteomes by timsTOF mass spectrometry. This revealed widespread, but highly distinct abundance changes of metabolic key enzymes. Integration of the proteomics data in protein-constrained metabolic models demonstrated modulation of fluxes directly associated with terpenoid production as well as metabolic subsystems involved in protein biosynthesis, cell wall synthesis, and cofactor biosynthesis. These results demonstrate that optogenetically triggered cell cycle intervention is an option to increase the yields of compounds synthesized in a cellular factory by reallocation of metabolic resources.
Collapse
Affiliation(s)
- Filipp Bezold
- Unit for Structural Biochemistry, Department of Chemistry, Philipps-University Marburg, 35032, Marburg, Germany
| | - Johannes Scheffer
- Unit for Structural Biochemistry, Department of Chemistry, Philipps-University Marburg, 35032, Marburg, Germany
| | - Philipp Wendering
- Systems Biology and Mathematical Modeling, Max Planck Institute of Molecular Plant Physiology, 14476, Potsdam, Germany; Bioinformatics, Institute of Biochemistry and Biology, University of Potsdam, 14476, Potsdam, Germany
| | - Zahra Razaghi-Moghadam
- Systems Biology and Mathematical Modeling, Max Planck Institute of Molecular Plant Physiology, 14476, Potsdam, Germany; Bioinformatics, Institute of Biochemistry and Biology, University of Potsdam, 14476, Potsdam, Germany
| | - Jonathan Trauth
- Unit for Structural Biochemistry, Department of Chemistry, Philipps-University Marburg, 35032, Marburg, Germany
| | - Bastian Pook
- Unit for Structural Biochemistry, Department of Chemistry, Philipps-University Marburg, 35032, Marburg, Germany
| | - Hagen Nußhär
- Unit for Structural Biochemistry, Department of Chemistry, Philipps-University Marburg, 35032, Marburg, Germany
| | - Sophia Hasenjäger
- Unit for Structural Biochemistry, Department of Chemistry, Philipps-University Marburg, 35032, Marburg, Germany
| | - Zoran Nikoloski
- Systems Biology and Mathematical Modeling, Max Planck Institute of Molecular Plant Physiology, 14476, Potsdam, Germany; Bioinformatics, Institute of Biochemistry and Biology, University of Potsdam, 14476, Potsdam, Germany
| | - Lars-Oliver Essen
- Unit for Structural Biochemistry, Department of Chemistry, Philipps-University Marburg, 35032, Marburg, Germany.
| | - Christof Taxis
- Department of Biology/Genetics, Philipps-University Marburg, 35032, Marburg, Germany; School of Science and Technology, University Siegen, 57076, Siegen, Germany.
| |
Collapse
|
11
|
Soultanas P, Janniere L. The metabolic control of DNA replication: mechanism and function. Open Biol 2023; 13:230220. [PMID: 37582405 PMCID: PMC10427196 DOI: 10.1098/rsob.230220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 07/26/2023] [Indexed: 08/17/2023] Open
Abstract
Metabolism and DNA replication are the two most fundamental biological functions in life. The catabolic branch of metabolism breaks down nutrients to produce energy and precursors used by the anabolic branch of metabolism to synthesize macromolecules. DNA replication consumes energy and precursors for faithfully copying genomes, propagating the genetic material from generation to generation. We have exquisite understanding of the mechanisms that underpin and regulate these two biological functions. However, the molecular mechanism coordinating replication to metabolism and its biological function remains mostly unknown. Understanding how and why living organisms respond to fluctuating nutritional stimuli through cell-cycle dynamic changes and reproducibly and distinctly temporalize DNA synthesis in a wide-range of growth conditions is important, with wider implications across all domains of life. After summarizing the seminal studies that founded the concept of the metabolic control of replication, we review data linking metabolism to replication from bacteria to humans. Molecular insights underpinning these links are then presented to propose that the metabolic control of replication uses signalling systems gearing metabolome homeostasis to orchestrate replication temporalization. The remarkable replication phenotypes found in mutants of this control highlight its importance in replication regulation and potentially genetic stability and tumorigenesis.
Collapse
Affiliation(s)
- Panos Soultanas
- Biodiscovery Institute, School of Chemistry, University of Nottingham, University Park, Nottingham NG7 2RD, UK
| | - Laurent Janniere
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Université Evry, Université Paris-Saclay, 91057 Evry, France
| |
Collapse
|
12
|
Leite AC, Costa V, Pereira C. Mitochondria and the cell cycle in budding yeast. Int J Biochem Cell Biol 2023; 161:106444. [PMID: 37419443 DOI: 10.1016/j.biocel.2023.106444] [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] [Received: 03/10/2023] [Revised: 06/05/2023] [Accepted: 07/03/2023] [Indexed: 07/09/2023]
Abstract
As centers for energy production and essential biosynthetic activities, mitochondria are vital for cell growth and proliferation. Accumulating evidence suggests an integrated regulation of these organelles and the nuclear cell cycle in distinct organisms. In budding yeast, a well-established example of this coregulation is the coordinated movement and positional control of mitochondria during the different phases of the cell cycle. The molecular determinants involved in the inheritance of the fittest mitochondria by the bud also seem to be cell cycle-regulated. In turn, loss of mtDNA or defects in mitochondrial structure or inheritance often lead to a cell cycle delay or arrest, indicating that mitochondrial function can also regulate cell cycle progression, possibly through the activation of cell cycle checkpoints. The up-regulation of mitochondrial respiration at G2/M, presumably to fulfil energetic requirements for progression at this phase, also supports a mitochondria-cell cycle interplay. Cell cycle-linked mitochondrial regulation is accomplished at the transcription level and through post-translational modifications, predominantly protein phosphorylation. Here, we address mitochondria-cell cycle interactions in the yeast Saccharomyces cerevisiae and discuss future challenges in the field.
Collapse
Affiliation(s)
- Ana Cláudia Leite
- i3S, Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Portugal; IBMC, Instituto de Biologia Celular e Molecular, Universidade do Porto, Portugal; ICBAS, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Portugal
| | - Vítor Costa
- i3S, Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Portugal; IBMC, Instituto de Biologia Celular e Molecular, Universidade do Porto, Portugal; ICBAS, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Portugal
| | - Clara Pereira
- i3S, Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Portugal; IBMC, Instituto de Biologia Celular e Molecular, Universidade do Porto, Portugal.
| |
Collapse
|
13
|
Zhang Y, van der Zee L, Barberis M. Two-way communication between cell cycle and metabolism in budding yeast: what do we know? Front Microbiol 2023; 14:1187304. [PMID: 37396387 PMCID: PMC10309209 DOI: 10.3389/fmicb.2023.1187304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 05/30/2023] [Indexed: 07/04/2023] Open
Abstract
Coordination of cell cycle and metabolism exists in all cells. The building of a new cell is a process that requires metabolic commitment to the provision of both Gibbs energy and building blocks for proteins, nucleic acids, and membranes. On the other hand, the cell cycle machinery will assess and regulate its metabolic environment before it makes decisions on when to enter the next cell cycle phase. Furthermore, more and more evidence demonstrate that the metabolism can be regulated by cell cycle progression, as different biosynthesis pathways are preferentially active in different cell cycle phases. Here, we review the available literature providing a critical overview on how cell cycle and metabolism may be coupled with one other, bidirectionally, in the budding yeast Saccharomyces cerevisiae.
Collapse
Affiliation(s)
- Yanfei Zhang
- Molecular Systems Biology, School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, United Kingdom
- Synthetic Systems Biology and Nuclear Organization, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands
| | - Lucas van der Zee
- Synthetic Systems Biology and Nuclear Organization, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands
| | - Matteo Barberis
- Molecular Systems Biology, School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, United Kingdom
- Synthetic Systems Biology and Nuclear Organization, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands
- Centre for Mathematical and Computational Biology, CMCB, University of Surrey, Guildford, Surrey, United Kingdom
| |
Collapse
|
14
|
Takhaveev V, Özsezen S, Smith EN, Zylstra A, Chaillet ML, Chen H, Papagiannakis A, Milias-Argeitis A, Heinemann M. Temporal segregation of biosynthetic processes is responsible for metabolic oscillations during the budding yeast cell cycle. Nat Metab 2023; 5:294-313. [PMID: 36849832 PMCID: PMC9970877 DOI: 10.1038/s42255-023-00741-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 01/10/2023] [Indexed: 03/01/2023]
Abstract
Many cell biological and biochemical mechanisms controlling the fundamental process of eukaryotic cell division have been identified; however, the temporal dynamics of biosynthetic processes during the cell division cycle are still elusive. Here, we show that key biosynthetic processes are temporally segregated along the cell cycle. Using budding yeast as a model and single-cell methods to dynamically measure metabolic activity, we observe two peaks in protein synthesis, in the G1 and S/G2/M phase, whereas lipid and polysaccharide synthesis peaks only once, during the S/G2/M phase. Integrating the inferred biosynthetic rates into a thermodynamic-stoichiometric metabolic model, we find that this temporal segregation in biosynthetic processes causes flux changes in primary metabolism, with an acceleration of glucose-uptake flux in G1 and phase-shifted oscillations of oxygen and carbon dioxide exchanges. Through experimental validation of the model predictions, we demonstrate that primary metabolism oscillates with cell-cycle periodicity to satisfy the changing demands of biosynthetic processes exhibiting unexpected dynamics during the cell cycle.
Collapse
Affiliation(s)
- Vakil Takhaveev
- Molecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands
- Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Serdar Özsezen
- Molecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands
- Department of Microbiology and Systems Biology, The Netherlands Organization for Applied Scientific Research (TNO), Leiden, The Netherlands
| | - Edward N Smith
- Molecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands
| | - Andre Zylstra
- Molecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands
| | - Marten L Chaillet
- Molecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands
- Structural Biochemistry, Bijvoet Center for Biomolecular Research, Utrecht University, Utrecht, The Netherlands
| | - Haoqi Chen
- Molecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands
| | - Alexandros Papagiannakis
- Molecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands
- Department of Biology and Sarafan Chemistry, Engineering, and Medicine for Human Health Institute, Stanford University, Stanford, CA, USA
| | - Andreas Milias-Argeitis
- Molecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands
| | - Matthias Heinemann
- Molecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands.
| |
Collapse
|
15
|
Leite AC, Martins TS, Cesário RR, Teixeira V, Costa V, Pereira C. Mitochondrial respiration promotes Cdc37-dependent stability of the Cdk1 homolog Cdc28. J Cell Sci 2023; 136:286215. [PMID: 36594787 DOI: 10.1242/jcs.260279] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 11/25/2022] [Indexed: 01/04/2023] Open
Abstract
Cdc28, the homolog of mammalian Cdk1, is a conserved key regulatory kinase for all major cell cycle transitions in yeast. We have found that defects in mitochondrial respiration (including deletion of ATP2, an ATP synthase subunit) inhibit growth of cells carrying a degron allele of Cdc28 (cdc28td) or Cdc28 temperature-sensitive mutations (cdc28-1 and cdc28-1N) at semi-permissive temperatures. Loss of cell proliferation in the atp2Δcdc28td double mutant is associated with aggravated cell cycle arrest and mitochondrial dysfunction, including mitochondrial hyperpolarization and fragmentation. Unexpectedly, in mutants defective in mitochondrial respiration, steady-state protein levels of mutant cdc28 are strongly reduced, accounting for the aggravated growth defects. Stability of Cdc28 is promoted by the Hsp90-Cdc37 chaperone complex. Our results show that atp2Δcdc28td double-mutant cells, but not single mutants, are sensitive to chemical inhibition of the Hsp90-Cdc37 complex, and exhibit reduced levels of additional Hsp90-Cdc37 client kinases, suggesting an inhibition of this complex. In agreement, overexpression of CDC37 improved atp2Δcdc28td cell growth and Cdc28 levels. Overall, our study shows that simultaneous disturbance of mitochondrial respiration and Cdc28 activity reduces the capacity of Cdc37 to chaperone client kinases, leading to growth arrest.
Collapse
Affiliation(s)
- Ana Cláudia Leite
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.,IBMC - Instituto de Biologia Celular e Molecular, Universidade do Porto, 4200-135 Porto, Portugal.,ICBAS - Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, 4050-313 Porto, Portugal
| | - Telma S Martins
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.,IBMC - Instituto de Biologia Celular e Molecular, Universidade do Porto, 4200-135 Porto, Portugal.,ICBAS - Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, 4050-313 Porto, Portugal
| | - Rute R Cesário
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.,IBMC - Instituto de Biologia Celular e Molecular, Universidade do Porto, 4200-135 Porto, Portugal
| | - Vitor Teixeira
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.,IBMC - Instituto de Biologia Celular e Molecular, Universidade do Porto, 4200-135 Porto, Portugal
| | - Vítor Costa
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.,IBMC - Instituto de Biologia Celular e Molecular, Universidade do Porto, 4200-135 Porto, Portugal.,ICBAS - Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, 4050-313 Porto, Portugal
| | - Clara Pereira
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.,IBMC - Instituto de Biologia Celular e Molecular, Universidade do Porto, 4200-135 Porto, Portugal
| |
Collapse
|
16
|
Dissecting Metabolic Regulation in Mycelial Growth and Fruiting Body Developmental Stages of Cordyceps militaris through Integrative Transcriptome Analysis. BIOTECHNOL BIOPROC E 2022. [DOI: 10.1007/s12257-022-0207-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
|
17
|
Leite AC, Martins TS, Campos A, Costa V, Pereira C. Phosphoregulation of the ATP synthase beta subunit stimulates mitochondrial activity for G2/M progression. Adv Biol Regul 2022; 85:100905. [PMID: 36030696 DOI: 10.1016/j.jbior.2022.100905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 08/04/2022] [Accepted: 08/09/2022] [Indexed: 10/15/2022]
Abstract
Mitochondrial ATP synthase is a multifunctional enzyme complex involved in ATP production. We previously reported that the ATP synthase catalytic beta subunit (Atp2p in yeast) is regulated by the 2A-like protein phosphatase Sit4p, which targets Atp2p at T124/T317 impacting on ATP synthase levels and mitochondrial respiration. Here we report that Atp2-T124/T317 is also potentially regulated by Cdc5p, a polo-like mitotic kinase. Since both Cdc5p and Sit4p have established roles in cell cycle regulation, we investigated whether Atp2-T124/T317 phosphorylation was cell cycle-related. We present evidence that Atp2p levels and phosphorylation vary during cell cycle progression, with an increase at G2/M phase. Atp2-T124/T317 phosphorylation stimulates mitochondrial membrane potential, respiration and ATP levels at G2/M phase, indicating that dynamic Atp2p phosphorylation contributes to mitochondrial activity at this specific cell cycle phase. Preventing Atp2p phosphorylation delays G2/M to G1 transition, suggesting that enhanced bioenergetics at G2/M may help meet the energetic demands of cell cycle progression. However, mimicking constitutive T124/T317 phosphorylation or overexpressing Atp2p leads to mitochondrial DNA instability, indicating that reversible Atp2p phosphorylation is critical for homeostasis. These results indicate that transient phosphorylation of Atp2p, a protein at the core of the ATP production machinery, impacts on mitochondrial bioenergetics and supports cell cycle progression at G2/M.
Collapse
Affiliation(s)
- Ana Cláudia Leite
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Portugal; IBMC - Instituto de Biologia Celular e Molecular, Universidade do Porto, Portugal; ICBAS - Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Portugal
| | - Telma Silva Martins
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Portugal; IBMC - Instituto de Biologia Celular e Molecular, Universidade do Porto, Portugal; ICBAS - Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Portugal
| | - Ana Campos
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Portugal; IBMC - Instituto de Biologia Celular e Molecular, Universidade do Porto, Portugal
| | - Vítor Costa
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Portugal; IBMC - Instituto de Biologia Celular e Molecular, Universidade do Porto, Portugal; ICBAS - Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Portugal
| | - Clara Pereira
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Portugal; IBMC - Instituto de Biologia Celular e Molecular, Universidade do Porto, Portugal.
| |
Collapse
|
18
|
Guerra P, Vuillemenot LAPE, van Oppen YB, Been M, Milias-Argeitis A. TORC1 and PKA activity towards ribosome biogenesis oscillates in synchrony with the budding yeast cell cycle. J Cell Sci 2022; 135:276358. [PMID: 35975715 DOI: 10.1242/jcs.260378] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 07/11/2022] [Indexed: 10/15/2022] Open
Abstract
Recent studies have revealed that the growth rate of budding yeast and mammalian cells varies during the cell cycle. By linking a multitude of signals to cell growth, the highly conserved Target of Rapamycin Complex 1 (TORC1) and Protein Kinase A (PKA) pathways are prime candidates for mediating the dynamic coupling between growth and division. However, measurements of TORC1 and PKA activity during the cell cycle are still lacking. Following the localization dynamics of two TORC1 and PKA targets via time-lapse microscopy in hundreds of yeast cells, we found that the activity of these pathways towards ribosome biogenesis fluctuates in synchrony with the cell cycle even under constant external conditions. Mutations of upstream TORC1 and PKA regulators suggested that internal metabolic signals partially mediate these activity changes. Our study reveals a new aspect of TORC1 and PKA signaling, which will be important for understanding growth regulation during the cell cycle.
Collapse
Affiliation(s)
- Paolo Guerra
- Molecular Systems Biology, Groningen Biomolecular Sciences & Biotechnology Institute, University of Groningen, Netherlands
| | - Luc-Alban P E Vuillemenot
- Molecular Systems Biology, Groningen Biomolecular Sciences & Biotechnology Institute, University of Groningen, Netherlands
| | - Yulan B van Oppen
- Molecular Systems Biology, Groningen Biomolecular Sciences & Biotechnology Institute, University of Groningen, Netherlands
| | - Marije Been
- Molecular Systems Biology, Groningen Biomolecular Sciences & Biotechnology Institute, University of Groningen, Netherlands
| | - Andreas Milias-Argeitis
- Molecular Systems Biology, Groningen Biomolecular Sciences & Biotechnology Institute, University of Groningen, Netherlands
| |
Collapse
|
19
|
Domenzain I, Sánchez B, Anton M, Kerkhoven EJ, Millán-Oropeza A, Henry C, Siewers V, Morrissey JP, Sonnenschein N, Nielsen J. Reconstruction of a catalogue of genome-scale metabolic models with enzymatic constraints using GECKO 2.0. Nat Commun 2022; 13:3766. [PMID: 35773252 PMCID: PMC9246944 DOI: 10.1038/s41467-022-31421-1] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 06/16/2022] [Indexed: 01/08/2023] Open
Abstract
Genome-scale metabolic models (GEMs) have been widely used for quantitative exploration of the relation between genotype and phenotype. Streamlined integration of enzyme constraints and proteomics data into such models was first enabled by the GECKO toolbox, allowing the study of phenotypes constrained by protein limitations. Here, we upgrade the toolbox in order to enhance models with enzyme and proteomics constraints for any organism with a compatible GEM reconstruction. With this, enzyme-constrained models for the budding yeasts Saccharomyces cerevisiae, Yarrowia lipolytica and Kluyveromyces marxianus are generated to study their long-term adaptation to several stress factors by incorporation of proteomics data. Predictions reveal that upregulation and high saturation of enzymes in amino acid metabolism are common across organisms and conditions, suggesting the relevance of metabolic robustness in contrast to optimal protein utilization as a cellular objective for microbial growth under stress and nutrient-limited conditions. The functionality of GECKO is expanded with an automated framework for continuous and version-controlled update of enzyme-constrained GEMs, also producing such models for Escherichia coli and Homo sapiens. In this work, we facilitate the utilization of enzyme-constrained GEMs in basic science, metabolic engineering and synthetic biology purposes.
Collapse
Affiliation(s)
- Iván Domenzain
- Department of Biology and Biological Engineering, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden
- Novo Nordisk Foundation Center for Biosustainability, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden
| | - Benjamín Sánchez
- Department of Biotechnology and Biomedicine, Technical University of Denmark, 2800, Kongens Lyngby, Denmark
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800, Kongens Lyngby, Denmark
| | - Mihail Anton
- Department of Biology and Biological Engineering, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden
- Department of Biology and Biological Engineering, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Chalmers University of Technology, Kemivägen 10, SE-412 58, Gothenburg, Sweden
| | - Eduard J Kerkhoven
- Department of Biology and Biological Engineering, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden
- Novo Nordisk Foundation Center for Biosustainability, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden
| | - Aarón Millán-Oropeza
- Plateforme d'analyse protéomique Paris Sud-Ouest (PAPPSO), INRAE, MICALIS Institute, Université Paris-Saclay, 78350, Jouy-en-Josas, France
| | - Céline Henry
- Plateforme d'analyse protéomique Paris Sud-Ouest (PAPPSO), INRAE, MICALIS Institute, Université Paris-Saclay, 78350, Jouy-en-Josas, France
| | - Verena Siewers
- Department of Biology and Biological Engineering, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden
- Novo Nordisk Foundation Center for Biosustainability, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden
| | - John P Morrissey
- School of Microbiology, Environmental Research Institute and APC Microbiome Ireland, University College Cork, T12 K8AF, Cork, Ireland
| | - Nikolaus Sonnenschein
- Department of Biotechnology and Biomedicine, Technical University of Denmark, 2800, Kongens Lyngby, Denmark
| | - Jens Nielsen
- Department of Biology and Biological Engineering, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden.
- Novo Nordisk Foundation Center for Biosustainability, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden.
- BioInnovation Institute, Ole Maaløes Vej 3, 2200, Copenhagen, Denmark.
| |
Collapse
|
20
|
Litsios A, Goswami P, Terpstra HM, Coffin C, Vuillemenot LA, Rovetta M, Ghazal G, Guerra P, Buczak K, Schmidt A, Tollis S, Tyers M, Royer CA, Milias-Argeitis A, Heinemann M. The timing of Start is determined primarily by increased synthesis of the Cln3 activator rather than dilution of the Whi5 inhibitor. Mol Biol Cell 2022; 33:rp2. [PMID: 35482514 PMCID: PMC9282015 DOI: 10.1091/mbc.e21-07-0349] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Affiliation(s)
- Athanasios Litsios
- Molecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, 9747 AG Groningen, Netherlands
| | - Pooja Goswami
- Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180
| | - Hanna M Terpstra
- Molecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, 9747 AG Groningen, Netherlands
| | - Carleton Coffin
- Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180
| | - Luc-Alban Vuillemenot
- Molecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, 9747 AG Groningen, Netherlands
| | - Mattia Rovetta
- Molecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, 9747 AG Groningen, Netherlands
| | - Ghada Ghazal
- Institute for Research in Immunology and Cancer, University of Montréal, Montréal, H3T 1J4 QC, Canada
| | - Paolo Guerra
- Molecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, 9747 AG Groningen, Netherlands
| | - Katarzyna Buczak
- Proteomics Core Facility, Biozentrum, University of Basel, 4056 Basel, Switzerland
| | - Alexander Schmidt
- Proteomics Core Facility, Biozentrum, University of Basel, 4056 Basel, Switzerland
| | - Sylvain Tollis
- Institute for Research in Immunology and Cancer, University of Montréal, Montréal, H3T 1J4 QC, Canada.,Institute of Biomedicine, University of Eastern Finland, FI-70210 Kuopio, Finland
| | - Mike Tyers
- Institute for Research in Immunology and Cancer, University of Montréal, Montréal, H3T 1J4 QC, Canada
| | - Catherine A Royer
- Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180
| | - Andreas Milias-Argeitis
- Molecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, 9747 AG Groningen, Netherlands
| | - Matthias Heinemann
- Molecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, 9747 AG Groningen, Netherlands
| |
Collapse
|
21
|
Li L, Wang J, Yang Z, Zhao Y, Jiang H, Jiang L, Hou W, Ye R, He Q, Kupiec M, Luke B, Cao Q, Qi Z, Li Z, Lou H. Metabolic remodeling maintains a reducing environment for rapid activation of the yeast DNA replication checkpoint. EMBO J 2022; 41:e108290. [PMID: 35028974 PMCID: PMC8844976 DOI: 10.15252/embj.2021108290] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 11/04/2021] [Accepted: 12/09/2021] [Indexed: 12/31/2022] Open
Abstract
Nucleotide metabolism fuels normal DNA replication and is also primarily targeted by the DNA replication checkpoint when replication stalls. To reveal a comprehensive interconnection between genome maintenance and metabolism, we analyzed the metabolomic changes upon replication stress in the budding yeast S. cerevisiae. We found that upon treatment of cells with hydroxyurea, glucose is rapidly diverted to the oxidative pentose phosphate pathway (PPP). This effect is mediated by the AMP-dependent kinase, SNF1, which phosphorylates the transcription factor Mig1, thereby relieving repression of the gene encoding the rate-limiting enzyme of the PPP. Surprisingly, NADPH produced by the PPP is required for efficient recruitment of replication protein A (RPA) to single-stranded DNA, providing the signal for the activation of the Mec1/ATR-Rad53/CHK1 checkpoint signaling kinase cascade. Thus, SNF1, best known as a central energy controller, determines a fast mode of replication checkpoint activation through a redox mechanism. These findings establish that SNF1 provides a hub with direct links to cellular metabolism, redox, and surveillance of DNA replication in eukaryotes.
Collapse
Affiliation(s)
- Lili Li
- State Key Laboratory of AgrobiotechnologyCollege of Biological SciencesChina Agricultural UniversityBeijingChina
| | - Jie Wang
- State Key Laboratory of Plant Physiology and BiochemistryCollege of Biological SciencesChina Agricultural UniversityBeijingChina
| | - Zijia Yang
- State Key Laboratory of Plant Physiology and BiochemistryCollege of Biological SciencesChina Agricultural UniversityBeijingChina
| | - Yiling Zhao
- Center for Quantitative Biology and Peking‐Tsinghua Center for Life SciencesAcademy for Advanced Interdisciplinary StudiesPeking UniversityBeijingChina
| | - Hui Jiang
- State Key Laboratory of AgrobiotechnologyCollege of Biological SciencesChina Agricultural UniversityBeijingChina
| | - Luguang Jiang
- MOE Key Laboratory of Crop Heterosis and UtilizationNational Maize Improvement Center of ChinaCollege of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Wenya Hou
- Shenzhen University General HospitalGuangdong Key Laboratory for Genome Stability and Disease PreventionShenzhen University School of MedicineShenzhenChina
| | - Risheng Ye
- Department of Medical EducationTexas Tech University Health Sciences Center Paul L. Foster School of MedicineEl PasoTXUSA
| | - Qun He
- State Key Laboratory of AgrobiotechnologyCollege of Biological SciencesChina Agricultural UniversityBeijingChina
| | - Martin Kupiec
- The Shmunis School of Biomedicine and Cancer ResearchTel Aviv UniversityRamat AvivIsrael
| | - Brian Luke
- Institute of Molecular Biology (IMB)MainzGermany,Institute of Developmental Biology and Neurobiology (IDN)Johannes Gutenberg UniversitätMainzGermany
| | - Qinhong Cao
- State Key Laboratory of AgrobiotechnologyCollege of Biological SciencesChina Agricultural UniversityBeijingChina
| | - Zhi Qi
- Center for Quantitative Biology and Peking‐Tsinghua Center for Life SciencesAcademy for Advanced Interdisciplinary StudiesPeking UniversityBeijingChina
| | - Zhen Li
- State Key Laboratory of Plant Physiology and BiochemistryCollege of Biological SciencesChina Agricultural UniversityBeijingChina
| | - Huiqiang Lou
- South China HospitalHealth Science CenterGuangdong Key Laboratory of Genome Instability and Disease PreventionShenzhen University School of MedicineShenzhenChina
| |
Collapse
|
22
|
Itto-Nakama K, Watanabe S, Kondo N, Ohnuki S, Kikuchi R, Nakamura T, Ogasawara W, Kasahara K, Ohya Y. AI-based forecasting of ethanol fermentation using yeast morphological data. Biosci Biotechnol Biochem 2021; 86:125-134. [PMID: 34751736 DOI: 10.1093/bbb/zbab188] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 10/25/2021] [Indexed: 11/12/2022]
Abstract
Several industries require getting information of products as soon as possible during fermentation. However, the trade-off between sensing speed and data quantity presents challenges for forecasting fermentation product yields. In this study, we tried to develop AI models to forecast ethanol yields in yeast fermentation cultures, using cell morphological data. Our platform involves the quick acquisition of yeast morphological images using a nonstaining protocol, extraction of high-dimensional morphological data using image processing software, and forecasting of ethanol yields via supervised machine learning. We found that the neural network algorithm produced the best performance, which had a coefficient of determination of >0.9 even at 30 and 60 min in the future. The model was validated using test data collected using the CalMorph-PC(10) system, which enables rapid image acquisition within 10 min. AI-based forecasting of product yields based on cell morphology will facilitate the management and stable production of desired biocommodities.
Collapse
Affiliation(s)
- Kaori Itto-Nakama
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan
| | - Shun Watanabe
- Chitose Laboratory Corp., Biotechnology Research Center, Miyamae-ku, Kawasaki, Kanagawa, Japan
| | - Naoko Kondo
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan
| | - Shinsuke Ohnuki
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan
| | - Ryota Kikuchi
- Chitose Laboratory Corp., Biotechnology Research Center, Miyamae-ku, Kawasaki, Kanagawa, Japan
- Circular Bioeconomy Development, Office of Society Academia Collaboration for Innovation, Kyoto University, Kitashirakawa Oiwake-cho, Sakyo-ku, Kyoto, Japan
| | - Toru Nakamura
- NRI System Techno Ltd., Hodogaya-ku, Yokohama, Kanagawa, Japan
| | - Wataru Ogasawara
- Department of Bioengineering, Nagaoka University of Technology, Nagaoka, Niigata, Japan
| | - Ken Kasahara
- Chitose Laboratory Corp., Biotechnology Research Center, Miyamae-ku, Kawasaki, Kanagawa, Japan
| | - Yoshikazu Ohya
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan
- Collaborative Research Institute for Innovative Microbiology, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| |
Collapse
|
23
|
Matos GS, Madeira JB, Fernandes CM, Dasilva D, Masuda CA, Del Poeta M, Montero-Lomelí M. Regulation of sphingolipid synthesis by the G1/S transcription factor Swi4. Biochim Biophys Acta Mol Cell Biol Lipids 2021; 1866:158983. [PMID: 34062255 PMCID: PMC8512607 DOI: 10.1016/j.bbalip.2021.158983] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 05/19/2021] [Accepted: 05/21/2021] [Indexed: 11/23/2022]
Abstract
SBF (Swi4/Swi6 Binding Factor) complex is a crucial regulator of G1/S transition in Saccharomyces cerevisiae. Here, we show that SBF complex is required for myriocin resistance, an inhibitor of sphingolipid synthesis. This phenotype was not shared with MBF complex mutants nor with deletion of the Swi4p downstream targets, CLN1/CLN2. Based on data mining results, we selected putative Swi4p targets related to sphingolipid metabolism and studied their gene transcription as well as metabolite levels during progression of the cell cycle. Genes which encode key enzymes for the synthesis of long chain bases (LCBs) and ceramides were periodically transcribed during the mitotic cell cycle, having a peak at G1/S, and required SWI4 for full transcription at this stage. In addition, HPLC-MS/MS data indicated that swi4Δ cells have decreased levels of sphingolipids during progression of the cell cycle, particularly, dihydrosphingosine (DHS), C24-phytoceramides and C24-inositolphosphoryl ceramide (IPC) while it had increased levels of mannosylinositol phosphorylceramide (MIPC). Furthermore, we demonstrated that both inhibition of de novo sphingolipid synthesis by myriocin or SWI4 deletion caused partial arrest at the G2/M phase. Importantly, our lipidomic data demonstrated that the sphingolipid profile of WT cells treated with myriocin resembled that of swi4Δ cells, with lower levels of DHS, IPC and higher levels of MIPC. Taken together, these results show that SBF complex plays an essential role in the regulation of sphingolipid homeostasis, which reflects in the correct progression through the G2/M phase of the cell cycle.
Collapse
Affiliation(s)
- Gabriel S Matos
- Instituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Juliana B Madeira
- Instituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Deveney Dasilva
- Department of Microbiology and Immunology, Stony Brook University, Stony Brook, NY, USA
| | - Claudio A Masuda
- Instituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Maurizio Del Poeta
- Department of Microbiology and Immunology, Stony Brook University, Stony Brook, NY, USA; Institute of Chemical Biology and Drug Discovery, Stony Brook University, Stony Brook, NY, USA; Veteran Administration Medical Center, Northport, NY, USA; MicroRid Technologies Inc., Dix Hills, NY, USA; Division of Infectious Diseases, School of Medicine, Stony Brook University, NY, USA
| | - Monica Montero-Lomelí
- Instituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
| |
Collapse
|
24
|
De Los Santos H, Bennett KP, Hurley JM. MOSAIC: a joint modeling methodology for combined circadian and non-circadian analysis of multi-omics data. Bioinformatics 2021; 37:767-774. [PMID: 33051654 PMCID: PMC8098022 DOI: 10.1093/bioinformatics/btaa877] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 08/27/2020] [Accepted: 09/28/2020] [Indexed: 01/01/2023] Open
Abstract
MOTIVATION Circadian rhythms are approximately 24-h endogenous cycles that control many biological functions. To identify these rhythms, biological samples are taken over circadian time and analyzed using a single omics type, such as transcriptomics or proteomics. By comparing data from these single omics approaches, it has been shown that transcriptional rhythms are not necessarily conserved at the protein level, implying extensive circadian post-transcriptional regulation. However, as proteomics methods are known to be noisier than transcriptomic methods, this suggests that previously identified arrhythmic proteins with rhythmic transcripts could have been missed due to noise and may not be due to post-transcriptional regulation. RESULTS To determine if one can use information from less-noisy transcriptomic data to inform rhythms in more-noisy proteomic data, and thus more accurately identify rhythms in the proteome, we have created the Multi-Omics Selection with Amplitude Independent Criteria (MOSAIC) application. MOSAIC combines model selection and joint modeling of multiple omics types to recover significant circadian and non-circadian trends. Using both synthetic data and proteomic data from Neurospora crassa, we showed that MOSAIC accurately recovers circadian rhythms at higher rates in not only the proteome but the transcriptome as well, outperforming existing methods for rhythm identification. In addition, by quantifying non-circadian trends in addition to circadian trends in data, our methodology allowed for the recognition of the diversity of circadian regulation as compared to non-circadian regulation. AVAILABILITY AND IMPLEMENTATION MOSAIC's full interface is available at https://github.com/delosh653/MOSAIC. An R package for this functionality, mosaic.find, can be downloaded at https://CRAN.R-project.org/package=mosaic.find. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Collapse
Affiliation(s)
- Hannah De Los Santos
- Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.,Institute for Data Exploration and Applications, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
| | - Kristin P Bennett
- Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.,Institute for Data Exploration and Applications, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.,Department of Mathematical Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
| | - Jennifer M Hurley
- Department of Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.,Center for Biotechnology and Interdisciplinary Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
| |
Collapse
|
25
|
Hamey JJ, Nguyen A, Wilkins MR. Discovery of Arginine Methylation, Phosphorylation, and Their Co-occurrence in Condensate-Associated Proteins in Saccharomyces cerevisiae. J Proteome Res 2021; 20:2420-2434. [PMID: 33856219 DOI: 10.1021/acs.jproteome.0c00927] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
The formation of condensates in membraneless organelles is thought to be driven by protein phase separation. Arginine methylation and serine/threonine phosphorylation are important in the phase separation process; however, these post-translational modifications are often present in intrinsically disordered regions that are difficult to analyze with standard proteomic techniques. To understand their presence and co-occurrence in condensate-associated proteins, here, we use a multiprotease and multi-tandem mass spectrometry (MS/MS) fragmentation approach, coupled with heavy methyl stable isotope labeling of amino acids in cell culture (SILAC) and phospho- or methyl-peptide enrichment. For Saccharomyces cerevisiae, we report a 50% increase in the known arginine methylproteome, involving 15 proteins that are all condensate-associated. Importantly, some of these proteins have arginine methylation on all predicted sites-providing evidence that this modification can be pervasive. We explored whether arginine-methylated, condensate-associated proteins are also phosphorylated and found 12 such proteins to carry phosphorylated serine or threonine. In Npl3, Ded1, and Sbp1, single peptides were found to carry both modifications, indicating a co-occurrence in close proximity and on the same protein molecule. These co-modifications occur in regions of disorder, whereas arginine methylation is typically on regions of disorder that are also basic. For phosphorylation, its association with charged regions of condensate-associated proteins was less consistent, although some regions with multisite phosphorylation sites were strongly acidic. We conclude that arginine-methylated proteins associated with condensates are typically also modified with protein phosphorylation.
Collapse
Affiliation(s)
- Joshua J Hamey
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Amy Nguyen
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Marc R Wilkins
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| |
Collapse
|
26
|
Doria-Belenguer S, Youssef MK, Böttcher R, Malod-Dognin N, Pržulj N. Probabilistic graphlets capture biological function in probabilistic molecular networks. Bioinformatics 2020; 36:i804-i812. [PMID: 33381834 DOI: 10.1093/bioinformatics/btaa812] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/08/2020] [Indexed: 11/13/2022] Open
Abstract
MOTIVATION Molecular interactions have been successfully modeled and analyzed as networks, where nodes represent molecules and edges represent the interactions between them. These networks revealed that molecules with similar local network structure also have similar biological functions. The most sensitive measures of network structure are based on graphlets. However, graphlet-based methods thus far are only applicable to unweighted networks, whereas real-world molecular networks may have weighted edges that can represent the probability of an interaction occurring in the cell. This information is commonly discarded when applying thresholds to generate unweighted networks, which may lead to information loss. RESULTS We introduce probabilistic graphlets as a tool for analyzing the local wiring patterns of probabilistic networks. To assess their performance compared to unweighted graphlets, we generate synthetic networks based on different well-known random network models and edge probability distributions and demonstrate that probabilistic graphlets outperform their unweighted counterparts in distinguishing network structures. Then we model different real-world molecular interaction networks as weighted graphs with probabilities as weights on edges and we analyze them with our new weighted graphlets-based methods. We show that due to their probabilistic nature, probabilistic graphlet-based methods more robustly capture biological information in these data, while simultaneously showing a higher sensitivity to identify condition-specific functions compared to their unweighted graphlet-based method counterparts. AVAILABILITYAND IMPLEMENTATION Our implementation of probabilistic graphlets is available at https://github.com/Serdobe/Probabilistic_Graphlets. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Collapse
Affiliation(s)
- Sergio Doria-Belenguer
- Barcelona Supercomputing Center, Barcelona 08034, Spain.,Universitat Politècnica de Catalunya (UPC), Barcelona 08034, Spain
| | - Markus K Youssef
- Barcelona Supercomputing Center, Barcelona 08034, Spain.,Universitat Politècnica de Catalunya (UPC), Barcelona 08034, Spain
| | - René Böttcher
- Barcelona Supercomputing Center, Barcelona 08034, Spain
| | - Noël Malod-Dognin
- Barcelona Supercomputing Center, Barcelona 08034, Spain.,Department of Computer Science, University College London, London WC1E 6BT, UK
| | - Nataša Pržulj
- Barcelona Supercomputing Center, Barcelona 08034, Spain.,Department of Computer Science, University College London, London WC1E 6BT, UK.,ICREA, Barcelona 08010, Spain
| |
Collapse
|
27
|
Predicting By-Product Gradients of Baker’s Yeast Production at Industrial Scale: A Practical Simulation Approach. Processes (Basel) 2020. [DOI: 10.3390/pr8121554] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Scaling up bioprocesses is one of the most crucial steps in the commercialization of bioproducts. While it is known that concentration and shear rate gradients occur at larger scales, it is often too risky, if feasible at all, to conduct validation experiments at such scales. Using computational fluid dynamics equipped with mechanistic biochemical engineering knowledge of the process, it is possible to simulate such gradients. In this work, concentration profiles for the by-products of baker’s yeast production are investigated. By applying a mechanistic black-box model, concentration heterogeneities for oxygen, glucose, ethanol, and carbon dioxide are evaluated. The results suggest that, although at low concentrations, ethanol is consumed in more than 90% of the tank volume, which prevents cell starvation, even when glucose is virtually depleted. Moreover, long exposure to high dissolved carbon dioxide levels is predicted. Two biomass concentrations, i.e., 10 and 25 g/L, are considered where, in the former, ethanol production is solely because of overflow metabolism while, in the latter, 10% of the ethanol formation is due to dissolved oxygen limitation. This method facilitates the prediction of the living conditions of the microorganism and its utilization to address the limitations via change of strain or bioreactor design or operation conditions. The outcome can also be of value to design a representative scale-down reactor to facilitate strain studies.
Collapse
|
28
|
Nguyen AD, Lee EY. Engineered Methanotrophy: A Sustainable Solution for Methane-Based Industrial Biomanufacturing. Trends Biotechnol 2020; 39:381-396. [PMID: 32828555 DOI: 10.1016/j.tibtech.2020.07.007] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2020] [Revised: 07/16/2020] [Accepted: 07/17/2020] [Indexed: 12/22/2022]
Abstract
Methane is a promising feedstock with high abundance and low cost for the sustainable production of biochemicals and biofuels. Methanotrophic bacteria are particularly interesting platforms for methane bioconversion as they can utilize methane as a carbon substrate. Recently, breakthroughs in the understanding of methane metabolism in methanotrophs as well as critical advances in systems metabolic engineering of methanotrophic bacteria have been reported. Here, we discuss the important gaps in the understanding of methanotrophic metabolism that have been uncovered recently and the current trends in systems metabolic engineering in both methanotrophic bacteria and non-native hosts to advance the potential of methane-based biomanufacturing.
Collapse
Affiliation(s)
- Anh Duc Nguyen
- Department of Chemical Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do 17104, South Korea
| | - Eun Yeol Lee
- Department of Chemical Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do 17104, South Korea.
| |
Collapse
|
29
|
QnAs with Jens Nielsen. Proc Natl Acad Sci U S A 2020; 117:7548-7549. [PMID: 32205426 DOI: 10.1073/pnas.2003876117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
|