1
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Bandau S, Alvarez V, Jiang H, Graff S, Sundaramoorthy R, Gierlinski M, Toman M, Owen-Hughes T, Sidoli S, Lamond A, Alabert C. RNA polymerase II promotes the organization of chromatin following DNA replication. EMBO Rep 2024; 25:1387-1414. [PMID: 38347224 PMCID: PMC10933433 DOI: 10.1038/s44319-024-00085-x] [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: 07/21/2023] [Revised: 01/17/2024] [Accepted: 01/23/2024] [Indexed: 02/18/2024] Open
Abstract
Understanding how chromatin organisation is duplicated on the two daughter strands is a central question in epigenetics. In mammals, following the passage of the replisome, nucleosomes lose their defined positioning and transcription contributes to their re-organisation. However, whether transcription plays a greater role in the organization of chromatin following DNA replication remains unclear. Here we analysed protein re-association with newly replicated DNA upon inhibition of transcription using iPOND coupled to quantitative mass spectrometry. We show that nucleosome assembly and the re-establishment of most histone modifications are uncoupled from transcription. However, RNAPII acts to promote the re-association of hundreds of proteins with newly replicated chromatin via pathways that are not observed in steady-state chromatin. These include ATP-dependent remodellers, transcription factors and histone methyltransferases. We also identify a set of DNA repair factors that may handle transcription-replication conflicts during normal transcription in human non-transformed cells. Our study reveals that transcription plays a greater role in the organization of chromatin post-replication than previously anticipated.
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Affiliation(s)
- Susanne Bandau
- MCDB, School of Life Sciences, University of Dundee, DD15EH, Dundee, UK
| | - Vanesa Alvarez
- MCDB, School of Life Sciences, University of Dundee, DD15EH, Dundee, UK
| | - Hao Jiang
- Laboratory of Quantitative Proteomics, MCDB, School of Life Sciences, University of Dundee, DD15EH, Dundee, UK
| | - Sarah Graff
- Department of Biochemistry at the Albert Einstein College of Medicine, New York, NY, USA
| | | | - Marek Gierlinski
- Data Analysis Group, Division of Computational Biology, School of Life Sciences, University of Dundee, Dow Street, DD1 5EH, Dundee, UK
| | - Matt Toman
- Laboratory of Chromatin Structure and Function, MCDB, School of Life Sciences, University of Dundee, DD15EH, Dundee, UK
| | - Tom Owen-Hughes
- Laboratory of Chromatin Structure and Function, MCDB, School of Life Sciences, University of Dundee, DD15EH, Dundee, UK
| | - Simone Sidoli
- Department of Biochemistry at the Albert Einstein College of Medicine, New York, NY, USA
| | - Angus Lamond
- Laboratory of Quantitative Proteomics, MCDB, School of Life Sciences, University of Dundee, DD15EH, Dundee, UK
| | - Constance Alabert
- MCDB, School of Life Sciences, University of Dundee, DD15EH, Dundee, UK.
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2
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Valverde JM, Dubra G, Phillips M, Haider A, Elena-Real C, Fournet A, Alghoul E, Chahar D, Andrés-Sanchez N, Paloni M, Bernadó P, van Mierlo G, Vermeulen M, van den Toorn H, Heck AJR, Constantinou A, Barducci A, Ghosh K, Sibille N, Knipscheer P, Krasinska L, Fisher D, Altelaar M. A cyclin-dependent kinase-mediated phosphorylation switch of disordered protein condensation. Nat Commun 2023; 14:6316. [PMID: 37813838 PMCID: PMC10562473 DOI: 10.1038/s41467-023-42049-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 09/28/2023] [Indexed: 10/11/2023] Open
Abstract
Cell cycle transitions result from global changes in protein phosphorylation states triggered by cyclin-dependent kinases (CDKs). To understand how this complexity produces an ordered and rapid cellular reorganisation, we generated a high-resolution map of changing phosphosites throughout unperturbed early cell cycles in single Xenopus embryos, derived the emergent principles through systems biology analysis, and tested them by biophysical modelling and biochemical experiments. We found that most dynamic phosphosites share two key characteristics: they occur on highly disordered proteins that localise to membraneless organelles, and are CDK targets. Furthermore, CDK-mediated multisite phosphorylation can switch homotypic interactions of such proteins between favourable and inhibitory modes for biomolecular condensate formation. These results provide insight into the molecular mechanisms and kinetics of mitotic cellular reorganisation.
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Affiliation(s)
- Juan Manuel Valverde
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, 3584 CH, Utrecht, Netherlands
- Netherlands Proteomics Center, Padualaan 8, 3584 CH, Utrecht, Netherlands
| | - Geronimo Dubra
- IGMM, CNRS, University of Montpellier, INSERM, Montpellier, France
- Equipe Labellisée LIGUE 2018, Ligue Nationale Contre le Cancer, Paris, France
| | - Michael Phillips
- Department of Physics and Astronomy, University of Denver, Denver, Co, 80208, USA
| | - Austin Haider
- Department of Molecular and Cellular Biophysics, University of Denver, 80208, Denver, Co, USA
| | | | - Aurélie Fournet
- CBS, CNRS, University of Montpellier, INSERM, Montpellier, France
| | - Emile Alghoul
- IGH, CNRS, University of Montpellier, Montpellier, France
| | - Dhanvantri Chahar
- IGMM, CNRS, University of Montpellier, INSERM, Montpellier, France
- Equipe Labellisée LIGUE 2018, Ligue Nationale Contre le Cancer, Paris, France
| | - Nuria Andrés-Sanchez
- IGMM, CNRS, University of Montpellier, INSERM, Montpellier, France
- Equipe Labellisée LIGUE 2018, Ligue Nationale Contre le Cancer, Paris, France
| | - Matteo Paloni
- Department of Physics and Astronomy, University of Denver, Denver, Co, 80208, USA
| | - Pau Bernadó
- CBS, CNRS, University of Montpellier, INSERM, Montpellier, France
| | - Guido van Mierlo
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute, Radboud University Nijmegen, Nijmegen, 6525 GA, The Netherlands
| | - Michiel Vermeulen
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute, Radboud University Nijmegen, Nijmegen, 6525 GA, The Netherlands
| | - Henk van den Toorn
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, 3584 CH, Utrecht, Netherlands
- Netherlands Proteomics Center, Padualaan 8, 3584 CH, Utrecht, Netherlands
| | - Albert J R Heck
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, 3584 CH, Utrecht, Netherlands
- Netherlands Proteomics Center, Padualaan 8, 3584 CH, Utrecht, Netherlands
| | | | | | - Kingshuk Ghosh
- Department of Physics and Astronomy, University of Denver, Denver, Co, 80208, USA
- Department of Molecular and Cellular Biophysics, University of Denver, 80208, Denver, Co, USA
| | - Nathalie Sibille
- CBS, CNRS, University of Montpellier, INSERM, Montpellier, France
| | - Puck Knipscheer
- Oncode Institute, Hubrecht Institute-KNAW and University Medical Center, Utrecht, 3584 CT, Netherlands
| | - Liliana Krasinska
- IGMM, CNRS, University of Montpellier, INSERM, Montpellier, France
- Equipe Labellisée LIGUE 2018, Ligue Nationale Contre le Cancer, Paris, France
| | - Daniel Fisher
- IGMM, CNRS, University of Montpellier, INSERM, Montpellier, France.
- Equipe Labellisée LIGUE 2018, Ligue Nationale Contre le Cancer, Paris, France.
| | - Maarten Altelaar
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, 3584 CH, Utrecht, Netherlands.
- Netherlands Proteomics Center, Padualaan 8, 3584 CH, Utrecht, Netherlands.
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3
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Alvarez V, Bandau S, Jiang H, Rios-Szwed D, Hukelmann J, Garcia-Wilson E, Wiechens N, Griesser E, Ten Have S, Owen-Hughes T, Lamond A, Alabert C. Proteomic profiling reveals distinct phases to the restoration of chromatin following DNA replication. Cell Rep 2023; 42:111996. [PMID: 36680776 DOI: 10.1016/j.celrep.2023.111996] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 08/12/2022] [Accepted: 01/03/2023] [Indexed: 01/21/2023] Open
Abstract
Chromatin organization must be maintained during cell proliferation to preserve cellular identity and genome integrity. However, DNA replication results in transient displacement of DNA-bound proteins, and it is unclear how they regain access to newly replicated DNA. Using quantitative proteomics coupled to Nascent Chromatin Capture or isolation of Proteins on Nascent DNA, we provide time-resolved binding kinetics for thousands of proteins behind replisomes within euchromatin and heterochromatin in human cells. This shows that most proteins regain access within minutes to newly replicated DNA. In contrast, 25% of the identified proteins do not, and this delay cannot be inferred from their known function or nuclear abundance. Instead, chromatin organization and G1 phase entry affect their reassociation. Finally, DNA replication not only disrupts but also promotes recruitment of transcription factors and chromatin remodelers, providing a significant advance in understanding how DNA replication could contribute to programmed changes of cell memory.
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Affiliation(s)
- Vanesa Alvarez
- Division of Molecular, Cell, and Developmental Biology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, Scotland, UK
| | - Susanne Bandau
- Division of Molecular, Cell, and Developmental Biology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, Scotland, UK
| | - Hao Jiang
- Laboratory of Quantitative Proteomics, Division of Molecular, Cell, and Developmental Biology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, Scotland, UK
| | - Diana Rios-Szwed
- Division of Molecular, Cell, and Developmental Biology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, Scotland, UK
| | - Jens Hukelmann
- Laboratory of Quantitative Proteomics, Division of Molecular, Cell, and Developmental Biology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, Scotland, UK
| | - Elisa Garcia-Wilson
- Division of Molecular, Cell, and Developmental Biology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, Scotland, UK
| | - Nicola Wiechens
- Laboratory of Chromatin Remodelling and Cancer Epigenetics, Division of Molecular, Cell & Developmental Biology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, Scotland, UK
| | - Eva Griesser
- Laboratory of Quantitative Proteomics, Division of Molecular, Cell, and Developmental Biology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, Scotland, UK
| | - Sara Ten Have
- Laboratory of Quantitative Proteomics, Division of Molecular, Cell, and Developmental Biology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, Scotland, UK
| | - Tom Owen-Hughes
- Laboratory of Chromatin Remodelling and Cancer Epigenetics, Division of Molecular, Cell & Developmental Biology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, Scotland, UK
| | - Angus Lamond
- Laboratory of Quantitative Proteomics, Division of Molecular, Cell, and Developmental Biology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, Scotland, UK
| | - Constance Alabert
- Division of Molecular, Cell, and Developmental Biology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, Scotland, UK.
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4
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Zhang L, Cervantes MD, Pan S, Lindsley J, Dabney A, Kapler GM. Transcriptome analysis of the binucleate ciliate Tetrahymena thermophila with asynchronous nuclear cell cycles. Mol Biol Cell 2023; 34:rs1. [PMID: 36475712 PMCID: PMC9930529 DOI: 10.1091/mbc.e22-08-0326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Tetrahymena thermophila harbors two functionally and physically distinct nuclei within a shared cytoplasm. During vegetative growth, the "cell cycles" of the diploid micronucleus and polyploid macronucleus are offset. Micronuclear S phase initiates just before cytokinesis and is completed in daughter cells before onset of macronuclear DNA replication. Mitotic micronuclear division occurs mid-cell cycle, while macronuclear amitosis is coupled to cell division. Here we report the first RNA-seq cell cycle analysis of a binucleated ciliated protozoan. RNA was isolated across 1.5 vegetative cell cycles, starting with a macronuclear G1 population synchronized by centrifugal elutriation. Using MetaCycle, 3244 of the 26,000+ predicted genes were shown to be cell cycle regulated. Proteins present in both nuclei exhibit a single mRNA peak that always precedes their macronuclear function. Nucleus-limited genes, including nucleoporins and importins, are expressed before their respective nucleus-specific role. Cyclin D and A/B gene family members exhibit different expression patterns that suggest nucleus-restricted roles. Periodically expressed genes cluster into seven cyclic patterns. Four clusters have known PANTHER gene ontology terms associated with G1/S and G2/M phase. We propose that these clusters encode known and novel factors that coordinate micro- and macronuclear-specific events such as mitosis, amitosis, DNA replication, and cell division.
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Affiliation(s)
- L. Zhang
- Department of Cell Biology and Genetics, Texas A&M University Health Science Center, College Station, TX 77840,Department of Statistics, Texas A&M University, College Station, TX 77843
| | - M. D. Cervantes
- Department of Cell Biology and Genetics, Texas A&M University Health Science Center, College Station, TX 77840
| | - S. Pan
- Department of Cell Biology and Genetics, Texas A&M University Health Science Center, College Station, TX 77840,Department of Statistics, Texas A&M University, College Station, TX 77843
| | - J. Lindsley
- Department of Cell Biology and Genetics, Texas A&M University Health Science Center, College Station, TX 77840
| | - A. Dabney
- Department of Statistics, Texas A&M University, College Station, TX 77843,*Address correspondence to: Geoffrey Kapler (); A. Dabney ()
| | - G. M. Kapler
- Department of Cell Biology and Genetics, Texas A&M University Health Science Center, College Station, TX 77840,*Address correspondence to: Geoffrey Kapler (); A. Dabney ()
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5
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Johnson MS, Cook JG. Cell cycle exits and U-turns: Quiescence as multiple reversible forms of arrest. Fac Rev 2023; 12:5. [PMID: 36923701 PMCID: PMC10009890 DOI: 10.12703/r/12-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/10/2023] Open
Abstract
Cell proliferation control is essential during development and for maintaining adult tissues. Loss of that control promotes not only oncogenesis when cells proliferate inappropriately but also developmental abnormalities or degeneration when cells fail to proliferate when and where needed. To ensure that cells are produced at the right place and time, an intricate balance of pro-proliferative and anti-proliferative signals impacts the probability that cells undergo cell cycle exit to quiescence, or G0 phase. This brief review describes recent advances in our understanding of how and when quiescence is initiated and maintained in mammalian cells. We highlight the growing appreciation for quiescence as a collection of context-dependent distinct states.
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Affiliation(s)
- Martha Sharisha Johnson
- Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, NC, USA
| | - Jeanette Gowen Cook
- Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, NC, USA
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6
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Kelly V, Al-Rawi A, Lewis D, Kustatscher G, Ly T. Low Cell Number Proteomic Analysis Using In-Cell Protease Digests Reveals a Robust Signature for Cell Cycle State Classification. Mol Cell Proteomics 2022; 21:100169. [PMID: 34742921 PMCID: PMC8760417 DOI: 10.1016/j.mcpro.2021.100169] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 09/02/2021] [Accepted: 10/25/2021] [Indexed: 12/04/2022] Open
Abstract
Comprehensive proteome analysis of rare cell phenotypes remains a significant challenge. We report a method for low cell number MS-based proteomics using protease digestion of mildly formaldehyde-fixed cells in cellulo, which we call the "in-cell digest." We combined this with averaged MS1 precursor library matching to quantitatively characterize proteomes from low cell numbers of human lymphoblasts. About 4500 proteins were detected from 2000 cells, and 2500 proteins were quantitated from 200 lymphoblasts. The ease of sample processing and high sensitivity makes this method exceptionally suited for the proteomic analysis of rare cell states, including immune cell subsets and cell cycle subphases. To demonstrate the method, we characterized the proteome changes across 16 cell cycle states (CCSs) isolated from an asynchronous TK6 cells, avoiding synchronization. States included late mitotic cells present at extremely low frequency. We identified 119 pseudoperiodic proteins that vary across the cell cycle. Clustering of the pseudoperiodic proteins showed abundance patterns consistent with "waves" of protein degradation in late S, at the G2&M border, midmitosis, and at mitotic exit. These clusters were distinguished by significant differences in predicted nuclear localization and interaction with the anaphase-promoting complex/cyclosome. The dataset also identifies putative anaphase-promoting complex/cyclosome substrates in mitosis and the temporal order in which they are targeted for degradation. We demonstrate that a protein signature made of these 119 high-confidence cell cycle-regulated proteins can be used to perform unbiased classification of proteomes into CCSs. We applied this signature to 296 proteomes that encompass a range of quantitation methods, cell types, and experimental conditions. The analysis confidently assigns a CCS for 49 proteomes, including correct classification for proteomes from synchronized cells. We anticipate that this robust cell cycle protein signature will be crucial for classifying cell states in single-cell proteomes.
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Affiliation(s)
- Van Kelly
- Wellcome Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK; Institute of Quantitative Biology, Biochemistry and Biotechnology, University of Edinburgh, Edinburgh, UK
| | - Aymen Al-Rawi
- Wellcome Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| | - David Lewis
- Wellcome Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| | - Georg Kustatscher
- Institute of Quantitative Biology, Biochemistry and Biotechnology, University of Edinburgh, Edinburgh, UK
| | - Tony Ly
- Wellcome Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK; Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, UK.
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7
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Abstract
The cell cycle is the series of events that take place in a cell that drives it to divide and produce two new daughter cells. Through more than 100 years of efforts by scientists, we now have a much clearer picture of cell cycle progression and its regulation. The typical cell cycle in eukaryotes is composed of the G1, S, G2, and M phases. The M phase is further divided into prophase, prometaphase, metaphase, anaphase, telophase, and cytokinesis. Cell cycle progression is mediated by cyclin-dependent kinases (Cdks) and their regulatory cyclin subunits. However, the driving force of cell cycle progression is growth factor-initiated signaling pathways that controls the activity of various Cdk-cyclin complexes. Most cellular events, including DNA duplication, gene transcription, protein translation, and post-translational modification of proteins, occur in a cell-cycle-dependent manner. To understand these cellular events and their underlying molecular mechanisms, it is desirable to have a population of cells that are traversing the cell cycle synchronously. This can be achieved through a process called cell synchronization. Many methods have been developed to synchronize cells to the various phases of the cell cycle. These methods could be classified into two groups: synchronization methods using chemical inhibitors and synchronization methods without using chemical inhibitors. All these methods have their own merits and shortcomings.
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Affiliation(s)
- Zhixiang Wang
- Department of Medical Genetics, University of Alberta, Edmonton, AB, Canada.
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8
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Single-cell Ribo-seq reveals cell cycle-dependent translational pausing. Nature 2021; 597:561-565. [PMID: 34497418 DOI: 10.1038/s41586-021-03887-4] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 08/06/2021] [Indexed: 12/21/2022]
Abstract
Single-cell sequencing methods have enabled in-depth analysis of the diversity of cell types and cell states in a wide range of organisms. These tools focus predominantly on sequencing the genomes1, epigenomes2 and transcriptomes3 of single cells. However, despite recent progress in detecting proteins by mass spectrometry with single-cell resolution4, it remains a major challenge to measure translation in individual cells. Here, building on existing protocols5-7, we have substantially increased the sensitivity of these assays to enable ribosome profiling in single cells. Integrated with a machine learning approach, this technology achieves single-codon resolution. We validate this method by demonstrating that limitation for a particular amino acid causes ribosome pausing at a subset of the codons encoding the amino acid. Of note, this pausing is only observed in a sub-population of cells correlating to its cell cycle state. We further expand on this phenomenon in non-limiting conditions and detect pronounced GAA pausing during mitosis. Finally, we demonstrate the applicability of this technique to rare primary enteroendocrine cells. This technology provides a first step towards determining the contribution of the translational process to the remarkable diversity between seemingly identical cells.
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9
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Liu Y, Nan B, Niu J, Kapler GM, Gao S. An Optimized and Versatile Counter-Flow Centrifugal Elutriation Workflow to Obtain Synchronized Eukaryotic Cells. Front Cell Dev Biol 2021; 9:664418. [PMID: 33959616 PMCID: PMC8093812 DOI: 10.3389/fcell.2021.664418] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 03/23/2021] [Indexed: 11/21/2022] Open
Abstract
Cell synchronization is a powerful tool to understand cell cycle events and its regulatory mechanisms. Counter-flow centrifugal elutriation (CCE) is a more generally desirable method to synchronize cells because it does not significantly alter cell behavior and/or cell cycle progression, however, adjusting specific parameters in a cell type/equipment-dependent manner can be challenging. In this paper, we used the unicellular eukaryotic model organism, Tetrahymena thermophila as a testing system for optimizing CCE workflow. Firstly, flow cytometry conditions were identified that reduced nuclei adhesion and improved the assessment of cell cycle stage. We then systematically examined how to achieve the optimal conditions for three critical factors affecting the outcome of CCE, including loading flow rate, collection flow rate and collection volume. Using our optimized workflow, we obtained a large population of highly synchronous G1-phase Tetrahymena as measured by 5-ethynyl-2'-deoxyuridine (EdU) incorporation into nascent DNA strands, bulk DNA content changes by flow cytometry, and cell cycle progression by light microscopy. This detailed protocol can be easily adapted to synchronize other eukaryotic cells.
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Affiliation(s)
- Yongqiang Liu
- Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, China
- Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Ministry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, China
| | - Bei Nan
- Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, China
- Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Ministry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, China
| | - Junhua Niu
- Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, China
- Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Ministry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, China
| | - Geoffrey M. Kapler
- Department of Molecular and Cellular Medicine, Texas A&M University, College Station, TX, United States
| | - Shan Gao
- Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, China
- Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Ministry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, China
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10
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Mahdessian D, Cesnik AJ, Gnann C, Danielsson F, Stenström L, Arif M, Zhang C, Le T, Johansson F, Schutten R, Bäckström A, Axelsson U, Thul P, Cho NH, Carja O, Uhlén M, Mardinoglu A, Stadler C, Lindskog C, Ayoglu B, Leonetti MD, Pontén F, Sullivan DP, Lundberg E. Spatiotemporal dissection of the cell cycle with single-cell proteogenomics. Nature 2021; 590:649-654. [PMID: 33627808 DOI: 10.1038/s41586-021-03232-9] [Citation(s) in RCA: 83] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Accepted: 01/12/2021] [Indexed: 01/31/2023]
Abstract
The cell cycle, over which cells grow and divide, is a fundamental process of life. Its dysregulation has devastating consequences, including cancer1-3. The cell cycle is driven by precise regulation of proteins in time and space, which creates variability between individual proliferating cells. To our knowledge, no systematic investigations of such cell-to-cell proteomic variability exist. Here we present a comprehensive, spatiotemporal map of human proteomic heterogeneity by integrating proteomics at subcellular resolution with single-cell transcriptomics and precise temporal measurements of individual cells in the cell cycle. We show that around one-fifth of the human proteome displays cell-to-cell variability, identify hundreds of proteins with previously unknown associations with mitosis and the cell cycle, and provide evidence that several of these proteins have oncogenic functions. Our results show that cell cycle progression explains less than half of all cell-to-cell variability, and that most cycling proteins are regulated post-translationally, rather than by transcriptomic cycling. These proteins are disproportionately phosphorylated by kinases that regulate cell fate, whereas non-cycling proteins that vary between cells are more likely to be modified by kinases that regulate metabolism. This spatially resolved proteomic map of the cell cycle is integrated into the Human Protein Atlas and will serve as a resource for accelerating molecular studies of the human cell cycle and cell proliferation.
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Affiliation(s)
- Diana Mahdessian
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Anthony J Cesnik
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden.,Department of Genetics, Stanford University, Stanford, CA, USA.,Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA
| | - Christian Gnann
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden.,Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA
| | - Frida Danielsson
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Lovisa Stenström
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Muhammad Arif
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Cheng Zhang
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Trang Le
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Fredric Johansson
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Rutger Schutten
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Anna Bäckström
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Ulrika Axelsson
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Peter Thul
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Nathan H Cho
- Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA
| | - Oana Carja
- Department of Genetics, Stanford University, Stanford, CA, USA.,Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA.,Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Mathias Uhlén
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Adil Mardinoglu
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden.,Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK
| | - Charlotte Stadler
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Cecilia Lindskog
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Burcu Ayoglu
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | | | - Fredrik Pontén
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Devin P Sullivan
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Emma Lundberg
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden. .,Department of Genetics, Stanford University, Stanford, CA, USA. .,Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA.
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11
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Cucchi DGJ, Groen RWJ, Janssen JJWM, Cloos J. Ex vivo cultures and drug testing of primary acute myeloid leukemia samples: Current techniques and implications for experimental design and outcome. Drug Resist Updat 2020; 53:100730. [PMID: 33096284 DOI: 10.1016/j.drup.2020.100730] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Revised: 09/03/2020] [Accepted: 09/29/2020] [Indexed: 12/11/2022]
Abstract
New treatment options of acute myeloid leukemia (AML) are rapidly emerging. Pre-clinical models such as ex vivo cultures are extensively used towards the development of novel drugs and to study synergistic drug combinations, as well as to discover biomarkers for both drug response and anti-cancer drug resistance. Although these approaches empower efficient investigation of multiple drugs in a multitude of primary AML samples, their translational value and reproducibility are hampered by the lack of standardized methodologies and by culture system-specific behavior of AML cells and chemotherapeutic drugs. Moreover, distinct research questions require specific methods which rely on specific technical knowledge and skills. To address these aspects, we herein review commonly used culture techniques in light of diverse research questions. In addition, culture-dependent effects on drug resistance towards commonly used drugs in the treatment of AML are summarized including several pitfalls that may arise because of culture technique artifacts. The primary aim of the current review is to provide practical guidelines for ex vivo primary AML culture experimental design.
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Affiliation(s)
- D G J Cucchi
- Department of Hematology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands
| | - R W J Groen
- Department of Hematology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands
| | - J J W M Janssen
- Department of Hematology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands
| | - J Cloos
- Department of Hematology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands.
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12
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Trotter EW, Hagan IM. Release from cell cycle arrest with Cdk4/6 inhibitors generates highly synchronized cell cycle progression in human cell culture. Open Biol 2020; 10:200200. [PMID: 33052073 PMCID: PMC7653349 DOI: 10.1098/rsob.200200] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Accepted: 10/02/2020] [Indexed: 12/18/2022] Open
Abstract
Each approach used to synchronize cell cycle progression of human cell lines presents a unique set of challenges. Induction synchrony with agents that transiently block progression through key cell cycle stages are popular, but change stoichiometries of cell cycle regulators, invoke compensatory changes in growth rate and, for DNA replication inhibitors, damage DNA. The production, replacement or manipulation of a target molecule must be exceptionally rapid if the interpretation of phenotypes in the cycle under study is to remain independent of impacts upon progression through the preceding cycle. We show how these challenges are avoided by exploiting the ability of the Cdk4/6 inhibitors, palbociclib, ribociclib and abemaciclib to arrest cell cycle progression at the natural control point for cell cycle commitment: the restriction point. After previous work found no change in the coupling of growth and division during recovery from CDK4/6 inhibition, we find high degrees of synchrony in cell cycle progression. Although we validate CDK4/6 induction synchronization with hTERT-RPE-1, A549, THP1 and H1299, it is effective in other lines and avoids the DNA damage that accompanies synchronization by thymidine block/release. Competence to return to cycle after 72 h arrest enables out of cycle target induction/manipulation, without impacting upon preceding cycles.
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Affiliation(s)
| | - Iain Michael Hagan
- Cell Division Group, CRUK Manchester Institute, The University of Manchester, Alderley Park SK10 4TG, UK
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13
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Pratt EPS, Damon LJ, Anson KJ, Palmer AE. Tools and techniques for illuminating the cell biology of zinc. BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR CELL RESEARCH 2020; 1868:118865. [PMID: 32980354 DOI: 10.1016/j.bbamcr.2020.118865] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 09/13/2020] [Accepted: 09/15/2020] [Indexed: 12/19/2022]
Abstract
Zinc (Zn2+) is an essential micronutrient that is required for a wide variety of cellular processes. Tools and methods have been instrumental in revealing the myriad roles of Zn2+ in cells. This review highlights recent developments fluorescent sensors to measure the labile Zn2+ pool, chelators to manipulate Zn2+ availability, and fluorescent tools and proteomics approaches for monitoring Zn2+-binding proteins in cells. Finally, we close with some highlights on the role of Zn2+ in regulating cell function and in cell signaling.
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Affiliation(s)
- Evan P S Pratt
- Department of Biochemistry and BioFrontiers Institute, University of Colorado Boulder, 3415 Colorado Ave, Boulder, CO 80303, United States of America
| | - Leah J Damon
- Department of Biochemistry and BioFrontiers Institute, University of Colorado Boulder, 3415 Colorado Ave, Boulder, CO 80303, United States of America
| | - Kelsie J Anson
- Department of Biochemistry and BioFrontiers Institute, University of Colorado Boulder, 3415 Colorado Ave, Boulder, CO 80303, United States of America
| | - Amy E Palmer
- Department of Biochemistry and BioFrontiers Institute, University of Colorado Boulder, 3415 Colorado Ave, Boulder, CO 80303, United States of America.
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14
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Greenwood EJD, Williamson JC, Sienkiewicz A, Naamati A, Matheson NJ, Lehner PJ. Promiscuous Targeting of Cellular Proteins by Vpr Drives Systems-Level Proteomic Remodeling in HIV-1 Infection. Cell Rep 2020; 27:1579-1596.e7. [PMID: 31042482 PMCID: PMC6506760 DOI: 10.1016/j.celrep.2019.04.025] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Revised: 03/19/2019] [Accepted: 04/02/2019] [Indexed: 12/26/2022] Open
Abstract
HIV-1 encodes four “accessory proteins” (Vif, Vpr, Vpu, and Nef), dispensable for viral replication in vitro but essential for viral pathogenesis in vivo. Well characterized cellular targets have been associated with Vif, Vpu, and Nef, which counteract host restriction and promote viral replication. Conversely, although several substrates of Vpr have been described, their biological significance remains unclear. Here, we use complementary unbiased mass spectrometry-based approaches to demonstrate that Vpr is both necessary and sufficient for the DCAF1/DDB1/CUL4 E3 ubiquitin ligase-mediated degradation of at least 38 cellular proteins, causing systems-level changes to the cellular proteome. We therefore propose that promiscuous targeting of multiple host factors underpins complex Vpr-dependent cellular phenotypes and validate this in the case of G2/M cell cycle arrest. Our model explains how Vpr modulates so many cell biological processes and why the functional consequences of previously described Vpr targets, identified and studied in isolation, have proved elusive. HIV-1 Vpr is responsible for almost all proteomic changes in HIV-1-infected cells Vpr directly targets multiple nuclear proteins for degradation Vpr cellular phenotypes (e.g., cell cycle arrest) stem from broad substrate targeting Targeting of a few proteins is conserved across diverse primate lentiviral species
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Affiliation(s)
- Edward J D Greenwood
- Department of Medicine, Cambridge Biomedical Campus, University of Cambridge, Cambridge CB2 0QQ, UK; Cambridge Institute for Medical Research, Keith Peters Building, Cambridge Biomedical Campus, University of Cambridge, Cambridge CB2 0XY, UK; Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, University of Cambridge, Cambridge CB2 0AW, UK.
| | - James C Williamson
- Department of Medicine, Cambridge Biomedical Campus, University of Cambridge, Cambridge CB2 0QQ, UK; Cambridge Institute for Medical Research, Keith Peters Building, Cambridge Biomedical Campus, University of Cambridge, Cambridge CB2 0XY, UK; Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, University of Cambridge, Cambridge CB2 0AW, UK.
| | - Agata Sienkiewicz
- Department of Medicine, Cambridge Biomedical Campus, University of Cambridge, Cambridge CB2 0QQ, UK; Cambridge Institute for Medical Research, Keith Peters Building, Cambridge Biomedical Campus, University of Cambridge, Cambridge CB2 0XY, UK; Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, University of Cambridge, Cambridge CB2 0AW, UK
| | - Adi Naamati
- Department of Medicine, Cambridge Biomedical Campus, University of Cambridge, Cambridge CB2 0QQ, UK; Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, University of Cambridge, Cambridge CB2 0AW, UK
| | - Nicholas J Matheson
- Department of Medicine, Cambridge Biomedical Campus, University of Cambridge, Cambridge CB2 0QQ, UK; Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, University of Cambridge, Cambridge CB2 0AW, UK
| | - Paul J Lehner
- Department of Medicine, Cambridge Biomedical Campus, University of Cambridge, Cambridge CB2 0QQ, UK; Cambridge Institute for Medical Research, Keith Peters Building, Cambridge Biomedical Campus, University of Cambridge, Cambridge CB2 0XY, UK; Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, University of Cambridge, Cambridge CB2 0AW, UK.
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15
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Blank HM, Papoulas O, Maitra N, Garge R, Kennedy BK, Schilling B, Marcotte EM, Polymenis M. Abundances of transcripts, proteins, and metabolites in the cell cycle of budding yeast reveal coordinate control of lipid metabolism. Mol Biol Cell 2020; 31:1069-1084. [PMID: 32129706 PMCID: PMC7346729 DOI: 10.1091/mbc.e19-12-0708] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
Establishing the pattern of abundance of molecules of interest during cell division has been a long-standing goal of cell cycle studies. Here, for the first time in any system, we present experiment-matched datasets of the levels of RNAs, proteins, metabolites, and lipids from unarrested, growing, and synchronously dividing yeast cells. Overall, transcript and protein levels were correlated, but specific processes that appeared to change at the RNA level (e.g., ribosome biogenesis) did not do so at the protein level, and vice versa. We also found no significant changes in codon usage or the ribosome content during the cell cycle. We describe an unexpected mitotic peak in the abundance of ergosterol and thiamine biosynthesis enzymes. Although the levels of several metabolites changed in the cell cycle, by far the most significant changes were in the lipid repertoire, with phospholipids and triglycerides peaking strongly late in the cell cycle. Our findings provide an integrated view of the abundance of biomolecules in the eukaryotic cell cycle and point to a coordinate mitotic control of lipid metabolism.
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Affiliation(s)
- Heidi M Blank
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX 77843
| | - Ophelia Papoulas
- Center for Systems and Synthetic Biology, University of Texas at Austin, Austin, TX 78712.,Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712
| | - Nairita Maitra
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX 77843
| | - Riddhiman Garge
- Center for Systems and Synthetic Biology, University of Texas at Austin, Austin, TX 78712.,Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712
| | - Brian K Kennedy
- Departments of Biochemistry and Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596.,Centre for Healthy Ageing, National University of Singapore, National University Health System, Singapore 117609.,Buck Institute for Research on Aging, Novato, CA 94945
| | | | - Edward M Marcotte
- Center for Systems and Synthetic Biology, University of Texas at Austin, Austin, TX 78712.,Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712
| | - Michael Polymenis
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX 77843
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16
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A Global Screen for Assembly State Changes of the Mitotic Proteome by SEC-SWATH-MS. Cell Syst 2020; 10:133-155.e6. [PMID: 32027860 PMCID: PMC7042714 DOI: 10.1016/j.cels.2020.01.001] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 11/08/2019] [Accepted: 01/10/2020] [Indexed: 12/19/2022]
Abstract
Living systems integrate biochemical reactions that determine the functional state of each cell. Reactions are primarily mediated by proteins. In proteomic studies, these have been treated as independent entities, disregarding their higher-level organization into complexes that affects their activity and/or function and is thus of great interest for biological research. Here, we describe the implementation of an integrated technique to quantify cell-state-specific changes in the physical arrangement of protein complexes concurrently for thousands of proteins and hundreds of complexes. Applying this technique to a comparison of human cells in interphase and mitosis, we provide a systematic overview of mitotic proteome reorganization. The results recall key hallmarks of mitotic complex remodeling and suggest a model of nuclear pore complex disassembly, which we validate by orthogonal methods. To support the interpretation of quantitative SEC-SWATH-MS datasets, we extend the software CCprofiler and provide an interactive exploration tool, SECexplorer-cc. Global quantification of assembly state changes in the mitotic proteome Improved performance over thermostability measurement of proteome states Discovery of a mitotic disassembly intermediate of the nuclear pore complex Introduction of SECexplorer-cc, a publicly available online platform
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17
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Lo MN, Damon LJ, Wei Tay J, Jia S, Palmer AE. Single cell analysis reveals multiple requirements for zinc in the mammalian cell cycle. eLife 2020; 9:e51107. [PMID: 32014109 PMCID: PMC7000218 DOI: 10.7554/elife.51107] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Accepted: 12/30/2019] [Indexed: 01/01/2023] Open
Abstract
Zinc is widely recognized as essential for growth and proliferation, yet the mechanisms of how zinc deficiency arrests these processes remain enigmatic. Here we induce subtle zinc perturbations and track asynchronously cycling cells throughout division using fluorescent reporters, high throughput microscopy, and quantitative analysis. Zinc deficiency induces quiescence and resupply stimulates synchronized cell-cycle reentry. Monitoring cells before and after zinc deprivation we found the position of cells within the cell cycle determined whether they either went quiescent or entered another cell cycle but stalled in S-phase. Stalled cells exhibited prolonged S-phase, were defective in DNA synthesis and had increased DNA damage levels, suggesting a role for zinc in maintaining genome integrity. Finally, we demonstrate zinc deficiency-induced quiescence occurs independently of DNA-damage response pathways, and is distinct from mitogen removal and spontaneous quiescence. This suggests a novel pathway to quiescence and reveals essential micronutrients play a role in cell cycle regulation.
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Affiliation(s)
- Maria N Lo
- Department of BiochemistryUniversity of Colorado, BoulderBoulderUnited States
- BioFrontiers InstituteUniversity of Colorado, BoulderBoulderUnited States
| | - Leah J Damon
- Department of BiochemistryUniversity of Colorado, BoulderBoulderUnited States
- BioFrontiers InstituteUniversity of Colorado, BoulderBoulderUnited States
| | - Jian Wei Tay
- Department of BiochemistryUniversity of Colorado, BoulderBoulderUnited States
- BioFrontiers InstituteUniversity of Colorado, BoulderBoulderUnited States
| | - Shang Jia
- Department of ChemistryUniversity of California, BerkeleyBerkeleyUnited States
| | - Amy E Palmer
- Department of BiochemistryUniversity of Colorado, BoulderBoulderUnited States
- BioFrontiers InstituteUniversity of Colorado, BoulderBoulderUnited States
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18
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Ghelli Luserna di Rorà A, Martinelli G, Simonetti G. The balance between mitotic death and mitotic slippage in acute leukemia: a new therapeutic window? J Hematol Oncol 2019; 12:123. [PMID: 31771633 PMCID: PMC6880427 DOI: 10.1186/s13045-019-0808-4] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Accepted: 10/17/2019] [Indexed: 12/11/2022] Open
Abstract
Mitosis is the process whereby an eukaryotic cell divides into two identical copies. Different multiprotein complexes are involved in the fine regulation of cell division, including the mitotic promoting factor and the anaphase promoting complex. Prolonged mitosis can result in cellular division, cell death, or mitotic slippage, the latter leading to a new interphase without cellular division. Mitotic slippage is one of the causes of genomic instability and has an important therapeutic and clinical impact. It has been widely studied in solid tumors but not in hematological malignancies, in particular, in acute leukemia. We review the literature data available on mitotic regulation, alterations in mitotic proteins occurring in acute leukemia, induction of prolonged mitosis and its consequences, focusing in particular on the balance between cell death and mitotic slippage and on its therapeutic potentials. We also present the most recent preclinical and clinical data on the efficacy of second-generation mitotic drugs (CDK1-Cyclin B1, APC/CCDC20, PLK, Aurora kinase inhibitors). Despite the poor clinical activity showed by these drugs as single agents, they offer a potential therapeutic window for synthetic lethal combinations aimed to selectively target leukemic cells at the right time, thus decreasing the risk of mitotic slippage events.
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Affiliation(s)
- Andrea Ghelli Luserna di Rorà
- Biosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Via P. Maroncelli 40, 47014, Meldola, FC, Italy.
| | - Giovanni Martinelli
- Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Via P. Maroncelli 40, 47014, Meldola, FC, Italy
| | - Giorgia Simonetti
- Biosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Via P. Maroncelli 40, 47014, Meldola, FC, Italy
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19
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Brenes A, Hukelmann J, Bensaddek D, Lamond AI. Multibatch TMT Reveals False Positives, Batch Effects and Missing Values. Mol Cell Proteomics 2019; 18:1967-1980. [PMID: 31332098 PMCID: PMC6773557 DOI: 10.1074/mcp.ra119.001472] [Citation(s) in RCA: 101] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 06/14/2019] [Indexed: 12/31/2022] Open
Abstract
Multiplexing strategies for large-scale proteomic analyses have become increasingly prevalent, tandem mass tags (TMT) in particular. Here we used a large iPSC proteomic experiment with twenty-four 10-plex TMT batches to evaluate the effect of integrating multiple TMT batches within a single analysis. We identified a significant inflation rate of protein missing values as multiple batches are integrated and show that this pattern is aggravated at the peptide level. We also show that without normalization strategies to address the batch effects, the high precision of quantitation within a single multiplexed TMT batch is not reproduced when data from multiple TMT batches are integrated.Further, the incidence of false positives was studied by using Y chromosome peptides as an internal control. The iPSC lines quantified in this data set were derived from both male and female donors, hence the peptides mapped to the Y chromosome should be absent from female lines. Nonetheless, these Y chromosome-specific peptides were consistently detected in the female channels of all TMT batches. We then used the same Y chromosome specific peptides to quantify the level of ion coisolation as well as the effect of primary and secondary reporter ion interference. These results were used to propose solutions to mitigate the limitations of multi-batch TMT analyses. We confirm that including a common reference line in every batch increases precision by facilitating normalization across the batches and we propose experimental designs that minimize the effect of cross population reporter ion interference.
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Affiliation(s)
- Alejandro Brenes
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dow St, Dundee, DD1 5EH, United Kingdom
| | - Jens Hukelmann
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dow St, Dundee, DD1 5EH, United Kingdom
| | - Dalila Bensaddek
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dow St, Dundee, DD1 5EH, United Kingdom
| | - Angus I Lamond
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dow St, Dundee, DD1 5EH, United Kingdom.
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20
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Brenes A, Afzal V, Kent R, Lamond AI. The Encyclopedia of Proteome Dynamics: a big data ecosystem for (prote)omics. Nucleic Acids Res 2019; 46:D1202-D1209. [PMID: 28981707 PMCID: PMC5753345 DOI: 10.1093/nar/gkx807] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Accepted: 08/31/2017] [Indexed: 11/15/2022] Open
Abstract
Driven by improvements in speed and resolution of mass spectrometers (MS), the field of proteomics, which involves the large-scale detection and analysis of proteins in cells, tissues and organisms, continues to expand in scale and complexity. There is a resulting growth in datasets of both raw MS files and processed peptide and protein identifications. MS-based proteomics technology is also used increasingly to measure additional protein properties affecting cellular function and disease mechanisms, including post-translational modifications, protein-protein interactions, subcellular and tissue distributions. Consequently, biologists and clinicians need innovative tools to conveniently analyse, visualize and explore such large, complex proteomics data and to integrate it with genomics and other related large-scale datasets. We have created the Encyclopedia of Proteome Dynamics (EPD) to meet this need (https://peptracker.com/epd/). The EPD combines a polyglot persistent database and web-application that provides open access to integrated proteomics data for >30 000 proteins from published studies on human cells and model organisms. It is designed to provide a user-friendly interface, featuring graphical navigation with interactive visualizations that facilitate powerful data exploration in an intuitive manner. The EPD offers a flexible and scalable ecosystem to integrate proteomics data with genomics information, RNA expression and other related, large-scale datasets.
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Affiliation(s)
- Alejandro Brenes
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dow St, Dundee DD1 5EH, UK
| | - Vackar Afzal
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dow St, Dundee DD1 5EH, UK
| | - Robert Kent
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dow St, Dundee DD1 5EH, UK
| | - Angus I Lamond
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dow St, Dundee DD1 5EH, UK
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21
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Khamchun S, Thongboonkerd V. Cell cycle shift from G0/G1 to S and G2/M phases is responsible for increased adhesion of calcium oxalate crystals on repairing renal tubular cells at injured site. Cell Death Discov 2018; 4:106. [PMID: 30774989 PMCID: PMC6374384 DOI: 10.1038/s41420-018-0123-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 10/24/2018] [Accepted: 11/05/2018] [Indexed: 12/19/2022] Open
Abstract
Renal tubular cell injury can enhance calcium oxalate monohydrate (COM) crystal adhesion at the injured site and thus may increase the stone risk. Nevertheless, underlying mechanism of such enhancement remained unclear. In the present study, confluent MDCK renal tubular cell monolayers were scratched to allow cells to proliferate and repair the injured site. At 12-h post-scratch, the repairing cells had significant increases in crystal adhesion capacity and cell proliferation as compared to the control. Cell cycle analysis using flow cytometry demonstrated that the repairing cells underwent cell cycle shift from G0/G1 to S and G2/M phases. Cyclosporin A (CsA) and hydroxyurea (HU) at sub-toxic doses caused cell cycle shift mimicking that observed in the repairing cells. Crystal-cell adhesion assay confirmed the increased crystal adhesion capacity of the CsA-treated and HU-treated cells similar to that of the repairing cells. These findings provide evidence indicating that cell cycle shift from G0/G1 to S and G2/M phases is responsible, at least in part, for the increased adhesion of COM crystals on repairing renal tubular cells at the injured site.
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Affiliation(s)
- Supaporn Khamchun
- 1Medical Proteomics Unit, Office for Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.,2Department of Immunology and Immunology Graduate Program, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Visith Thongboonkerd
- 1Medical Proteomics Unit, Office for Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.,3Center for Research in Complex Systems Science, Mahidol University, Bangkok, Thailand
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22
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Mann BJ, Wadsworth P. Distribution of Eg5 and TPX2 in mitosis: Insight from CRISPR tagged cells. Cytoskeleton (Hoboken) 2018; 75:508-521. [DOI: 10.1002/cm.21486] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Revised: 07/11/2018] [Accepted: 07/30/2018] [Indexed: 11/07/2022]
Affiliation(s)
- B. J. Mann
- Department of Biology, Program in Molecular and Cellular Biology University of Massachusetts Amherst Massachusetts
| | - P. Wadsworth
- Department of Biology, Program in Molecular and Cellular Biology University of Massachusetts Amherst Massachusetts
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23
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Jorda R, Hendrychová D, Voller J, Řezníčková E, Gucký T, Kryštof V. How Selective Are Pharmacological Inhibitors of Cell-Cycle-Regulating Cyclin-Dependent Kinases? J Med Chem 2018; 61:9105-9120. [PMID: 30234987 DOI: 10.1021/acs.jmedchem.8b00049] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Cyclin-dependent kinases (CDKs) are an important and emerging class of drug targets for which many small-molecule inhibitors have been developed. However, there is often insufficient data available on the selectivity of CDK inhibitors (CDKi) to attribute the effects on the presumed target CDK to these inhibitors. Here, we highlight discrepancies between the kinase selectivity of CDKi and the phenotype exhibited; we evaluated 31 CDKi (claimed to target CDK1-4) for activity toward CDKs 1, 2, 4, 5, 7, 9 and for effects on the cell cycle. Our results suggest that most CDKi should be reclassified as pan-selective and should not be used as a tool. In addition, some compounds did not even inhibit CDKs as their primary cellular targets; for example, NU6140 showed potent inhibition of Aurora kinases. We also established an online database of commercially available CDKi for critical evaluation of their utility as molecular probes. Our results should help researchers select the most relevant chemical tools for their specific applications.
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Affiliation(s)
- Radek Jorda
- Laboratory of Growth Regulators, Centre of the Region Haná for Biotechnological and Agricultural Research , Palacký University and Institute of Experimental Botany ASCR , Šlechtitelů 27 , 78371 Olomouc , Czech Republic
| | - Denisa Hendrychová
- Laboratory of Growth Regulators, Centre of the Region Haná for Biotechnological and Agricultural Research , Palacký University and Institute of Experimental Botany ASCR , Šlechtitelů 27 , 78371 Olomouc , Czech Republic
| | - Jiří Voller
- Laboratory of Growth Regulators, Centre of the Region Haná for Biotechnological and Agricultural Research , Palacký University and Institute of Experimental Botany ASCR , Šlechtitelů 27 , 78371 Olomouc , Czech Republic
| | - Eva Řezníčková
- Laboratory of Growth Regulators, Centre of the Region Haná for Biotechnological and Agricultural Research , Palacký University and Institute of Experimental Botany ASCR , Šlechtitelů 27 , 78371 Olomouc , Czech Republic
| | - Tomáš Gucký
- Laboratory of Growth Regulators, Centre of the Region Haná for Biotechnological and Agricultural Research , Palacký University and Institute of Experimental Botany ASCR , Šlechtitelů 27 , 78371 Olomouc , Czech Republic
| | - Vladimír Kryštof
- Laboratory of Growth Regulators, Centre of the Region Haná for Biotechnological and Agricultural Research , Palacký University and Institute of Experimental Botany ASCR , Šlechtitelů 27 , 78371 Olomouc , Czech Republic
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24
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Yoshikawa H, Larance M, Harney DJ, Sundaramoorthy R, Ly T, Owen-Hughes T, Lamond AI. Efficient analysis of mammalian polysomes in cells and tissues using Ribo Mega-SEC. eLife 2018; 7:36530. [PMID: 30095066 PMCID: PMC6086667 DOI: 10.7554/elife.36530] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Accepted: 07/28/2018] [Indexed: 12/14/2022] Open
Abstract
We describe Ribo Mega-SEC, a powerful approach for the separation and biochemical analysis of mammalian polysomes and ribosomal subunits using Size Exclusion Chromatography and uHPLC. Using extracts from either cells, or tissues, polysomes can be separated within 15 min from sample injection to fraction collection. Ribo Mega-SEC shows translating ribosomes exist predominantly in polysome complexes in human cell lines and mouse liver tissue. Changes in polysomes are easily quantified between treatments, such as the cellular response to amino acid starvation. Ribo Mega-SEC is shown to provide an efficient, convenient and highly reproducible method for studying functional translation complexes. We show that Ribo Mega-SEC is readily combined with high-throughput MS-based proteomics to characterize proteins associated with polysomes and ribosomal subunits. It also facilitates isolation of complexes for electron microscopy and structural studies.
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Affiliation(s)
- Harunori Yoshikawa
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, United Kingdom
| | - Mark Larance
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, United Kingdom.,Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, Australia
| | - Dylan J Harney
- Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, Australia
| | | | - Tony Ly
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, United Kingdom.,Wellcome Centre for Cell Biology, University of Edinburgh, Edinburgh, United Kingdom
| | - Tom Owen-Hughes
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, United Kingdom
| | - Angus I Lamond
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, United Kingdom
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25
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Dai L, Zhao T, Bisteau X, Sun W, Prabhu N, Lim YT, Sobota RM, Kaldis P, Nordlund P. Modulation of Protein-Interaction States through the Cell Cycle. Cell 2018; 173:1481-1494.e13. [PMID: 29706543 DOI: 10.1016/j.cell.2018.03.065] [Citation(s) in RCA: 95] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Revised: 01/25/2018] [Accepted: 03/26/2018] [Indexed: 11/25/2022]
Abstract
Global profiling of protein expression through the cell cycle has revealed subsets of periodically expressed proteins. However, expression levels alone only give a partial view of the biochemical processes determining cellular events. Using a proteome-wide implementation of the cellular thermal shift assay (CETSA) to study specific cell-cycle phases, we uncover changes of interaction states for more than 750 proteins during the cell cycle. Notably, many protein complexes are modulated in specific cell-cycle phases, reflecting their roles in processes such as DNA replication, chromatin remodeling, transcription, translation, and disintegration of the nuclear envelope. Surprisingly, only small differences in the interaction states were seen between the G1 and the G2 phase, suggesting similar hardwiring of biochemical processes in these two phases. The present work reveals novel molecular details of the cell cycle and establishes proteome-wide CETSA as a new strategy to study modulation of protein-interaction states in intact cells.
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Affiliation(s)
- Lingyun Dai
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Tianyun Zhao
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Xavier Bisteau
- Institute of Molecular and Cell Biology, A(∗)STAR, Singapore 138673, Singapore
| | - Wendi Sun
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Nayana Prabhu
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Yan Ting Lim
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Radoslaw M Sobota
- Institute of Molecular and Cell Biology, A(∗)STAR, Singapore 138673, Singapore; Institute of Medical Biology, A(∗)STAR, Singapore 138648, Singapore
| | - Philipp Kaldis
- Institute of Molecular and Cell Biology, A(∗)STAR, Singapore 138673, Singapore; Department of Biochemistry, National University of Singapore, Singapore 117597, Singapore
| | - Pär Nordlund
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore; Institute of Molecular and Cell Biology, A(∗)STAR, Singapore 138673, Singapore; Department of Oncology and Pathology, Karolinska Institutet, 17177 Stockholm, Sweden.
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26
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Crozier TWM, Tinti M, Wheeler RJ, Ly T, Ferguson MAJ, Lamond AI. Proteomic Analysis of the Cell Cycle of Procylic Form Trypanosoma brucei. Mol Cell Proteomics 2018; 17:1184-1195. [PMID: 29555687 PMCID: PMC5986242 DOI: 10.1074/mcp.ra118.000650] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Revised: 03/01/2018] [Indexed: 12/24/2022] Open
Abstract
We describe a single-step centrifugal elutriation method to produce synchronous Gap1 (G1)-phase procyclic trypanosomes at a scale amenable for proteomic analysis of the cell cycle. Using ten-plex tandem mass tag (TMT) labeling and mass spectrometry (MS)-based proteomics technology, the expression levels of 5325 proteins were quantified across the cell cycle in this parasite. Of these, 384 proteins were classified as cell-cycle regulated and subdivided into nine clusters with distinct temporal regulation. These groups included many known cell cycle regulators in trypanosomes, which validates the approach. In addition, we identify 40 novel cell cycle regulated proteins that are essential for trypanosome survival and thus represent potential future drug targets for the prevention of trypanosomiasis. Through cross-comparison to the TrypTag endogenous tagging microscopy database, we were able to validate the cell-cycle regulated patterns of expression for many of the proteins of unknown function detected in our proteomic analysis. A convenient interface to access and interrogate these data is also presented, providing a useful resource for the scientific community. Data are available via ProteomeXchange with identifier PXD008741 (https://www.ebi.ac.uk/pride/archive/).
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Affiliation(s)
- Thomas W M Crozier
- From the ‡Wellcome Centre for Anti-Infectives Research, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK.,§Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK
| | - Michele Tinti
- From the ‡Wellcome Centre for Anti-Infectives Research, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK
| | - Richard J Wheeler
- ‖Sir William Dunn School of Pathology, University of Oxford, Oxford, OX1 3RE, UK
| | - Tony Ly
- §Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK
| | - Michael A J Ferguson
- From the ‡Wellcome Centre for Anti-Infectives Research, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK;
| | - Angus I Lamond
- §Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK;
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27
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Selective inhibition reveals cyclin-dependent kinase 2 as another kinase that phosphorylates the androgen receptor at serine 81. BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR CELL RESEARCH 2018; 1865:354-363. [DOI: 10.1016/j.bbamcr.2017.11.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2017] [Revised: 11/10/2017] [Accepted: 11/16/2017] [Indexed: 12/22/2022]
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28
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Delgado M, Kothari A, Hittelman WN, Chambers TC. Preparation of Primary Acute Lymphoblastic Leukemia Cells in Different Cell Cycle Phases by Centrifugal Elutriation. J Vis Exp 2017. [PMID: 29155772 DOI: 10.3791/56418] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
Abstract
The ability to synchronize cells has been central to advancing our understanding of cell cycle regulation. Common techniques employed include serum deprivation; chemicals which arrest cells at different cell cycle phases; or the use of mitotic shake-off which exploits their reduced adherence. However, all of these have disadvantages. For example, serum starvation works well for normal cells but less well for tumor cells with compromised cell cycle checkpoints due to oncogene activation or tumor suppressor loss. Similarly, chemically-treated cell populations can harbor drug-induced damage and show stress-related alterations. A technique which circumvents these problems is counterflow centrifugal elutriation (CCE), where cells are subjected to two opposing forces, centrifugal force and fluid velocity, which results in the separation of cells on the basis of size and density. Since cells advancing through the cycle typically enlarge, CCE can be used to separate cells into different cell cycle phases. Here we apply this technique to primary acute lymphoblastic leukemia cells. Under optimal conditions, an essentially pure population of cells in G1 phase and a highly enriched population of cells in G2/M phases can be obtained in excellent yield. These cell populations are ideally suited for studying cell cycle-dependent mechanisms of action of anticancer drugs and for other applications. We also show how modifications to the standard procedure can result in suboptimal performance and discuss the limitations of the technique. The detailed methodology presented should facilitate application and exploration of the technique to other types of cells.
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Affiliation(s)
- Magdalena Delgado
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences
| | - Anisha Kothari
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences
| | - Walter N Hittelman
- Department of Experimental Therapeutics, University of Texas MD Anderson Cancer Center
| | - Timothy C Chambers
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences;
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29
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Ly T, Whigham A, Clarke R, Brenes-Murillo AJ, Estes B, Madhessian D, Lundberg E, Wadsworth P, Lamond AI. Proteomic analysis of cell cycle progression in asynchronous cultures, including mitotic subphases, using PRIMMUS. eLife 2017; 6:e27574. [PMID: 29052541 PMCID: PMC5650473 DOI: 10.7554/elife.27574] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Accepted: 10/06/2017] [Indexed: 12/22/2022] Open
Abstract
The temporal regulation of protein abundance and post-translational modifications is a key feature of cell division. Recently, we analysed gene expression and protein abundance changes during interphase under minimally perturbed conditions (Ly et al., 2014, 2015). Here, we show that by using specific intracellular immunolabelling protocols, FACS separation of interphase and mitotic cells, including mitotic subphases, can be combined with proteomic analysis by mass spectrometry. Using this PRIMMUS (PRoteomic analysis of Intracellular iMMUnolabelled cell Subsets) approach, we now compare protein abundance and phosphorylation changes in interphase and mitotic fractions from asynchronously growing human cells. We identify a set of 115 phosphorylation sites increased during G2, termed 'early risers'. This set includes phosphorylation of S738 on TPX2, which we show is important for TPX2 function and mitotic progression. Further, we use PRIMMUS to provide the first a proteome-wide analysis of protein abundance remodeling between prophase, prometaphase and anaphase.
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Affiliation(s)
- Tony Ly
- Centre for Gene Regulation and Expression, School of Life SciencesUniversity of DundeeDundeeUnited Kingdom
- Wellcome Centre for Cell BiologyUniversity of EdinburghEdinburghUnited Kingdom
| | - Arlene Whigham
- CAST Flow Cytometry Facility, School of Life SciencesUniversity of DundeeDundeeUnited Kingdom
| | - Rosemary Clarke
- CAST Flow Cytometry Facility, School of Life SciencesUniversity of DundeeDundeeUnited Kingdom
| | - Alejandro J Brenes-Murillo
- Centre for Gene Regulation and Expression, School of Life SciencesUniversity of DundeeDundeeUnited Kingdom
| | - Brett Estes
- Department of BiologyUniversity of MassachusettsMassachusettsUnited States
- Program in Molecular and Cellular BiologyUniversity of MassachusettsMassachusettsUnited States
| | - Diana Madhessian
- Science for Life LaboratoryRoyal Institute of TechnologyStockholmSweden
| | - Emma Lundberg
- Science for Life LaboratoryRoyal Institute of TechnologyStockholmSweden
| | - Patricia Wadsworth
- Department of BiologyUniversity of MassachusettsMassachusettsUnited States
- Program in Molecular and Cellular BiologyUniversity of MassachusettsMassachusettsUnited States
| | - Angus I Lamond
- Centre for Gene Regulation and Expression, School of Life SciencesUniversity of DundeeDundeeUnited Kingdom
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30
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Gookin S, Min M, Phadke H, Chung M, Moser J, Miller I, Carter D, Spencer SL. A map of protein dynamics during cell-cycle progression and cell-cycle exit. PLoS Biol 2017; 15:e2003268. [PMID: 28892491 PMCID: PMC5608403 DOI: 10.1371/journal.pbio.2003268] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2017] [Revised: 09/21/2017] [Accepted: 08/22/2017] [Indexed: 12/31/2022] Open
Abstract
The cell-cycle field has identified the core regulators that drive the cell cycle, but we do not have a clear map of the dynamics of these regulators during cell-cycle progression versus cell-cycle exit. Here we use single-cell time-lapse microscopy of Cyclin-Dependent Kinase 2 (CDK2) activity followed by endpoint immunofluorescence and computational cell synchronization to determine the temporal dynamics of key cell-cycle proteins in asynchronously cycling human cells. We identify several unexpected patterns for core cell-cycle proteins in actively proliferating (CDK2-increasing) versus spontaneously quiescent (CDK2-low) cells, including Cyclin D1, the levels of which we find to be higher in spontaneously quiescent versus proliferating cells. We also identify proteins with concentrations that steadily increase or decrease the longer cells are in quiescence, suggesting the existence of a continuum of quiescence depths. Our single-cell measurements thus provide a rich resource for the field by characterizing protein dynamics during proliferation versus quiescence.
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Affiliation(s)
- Sara Gookin
- Department of Chemistry and Biochemistry, University of Colorado-Boulder, Boulder, Colorado, United States of America
| | - Mingwei Min
- Department of Chemistry and Biochemistry, University of Colorado-Boulder, Boulder, Colorado, United States of America
| | - Harsha Phadke
- Department of Electrical, Computer & Energy Engineering, University of Colorado-Boulder, Boulder, Colorado, United States of America
| | - Mingyu Chung
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, California, United States of America
| | - Justin Moser
- Department of Chemistry and Biochemistry, University of Colorado-Boulder, Boulder, Colorado, United States of America
| | - Iain Miller
- Department of Chemistry and Biochemistry, University of Colorado-Boulder, Boulder, Colorado, United States of America
| | - Dylan Carter
- Department of Chemistry and Biochemistry, University of Colorado-Boulder, Boulder, Colorado, United States of America
| | - Sabrina L. Spencer
- Department of Chemistry and Biochemistry, University of Colorado-Boulder, Boulder, Colorado, United States of America
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31
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Ribosome profiling the cell cycle: lessons and challenges. Curr Genet 2017; 63:959-964. [PMID: 28451847 DOI: 10.1007/s00294-017-0698-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Revised: 04/14/2017] [Accepted: 04/20/2017] [Indexed: 12/31/2022]
Abstract
Understanding the causes and consequences of dynamic changes in the abundance and activity of cellular components during cell division is what most cell cycle studies are about. Here we focus on control of gene expression in the cell cycle at the level of translation. The advent of deep sequencing methodologies led to technologies that quantify the levels of all mRNAs that are bound by ribosomes and engaged in translation in the cell (Ingolia et al. Science 324:218-223, 2009). This approach has been applied recently to synchronous cell populations to find transcripts under translational control at different cell cycle phases (Blank et al. EMBO J 36:487-502, 2017; Stumpf et al. Mol Cell 52:574-582, 2013; Tanenbaum et al. Elife 4:e07957, 2015). These studies revealed new biology, but they also have limitations, pointing to challenges that need to be addressed in the future.
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32
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Blank HM, Perez R, He C, Maitra N, Metz R, Hill J, Lin Y, Johnson CD, Bankaitis VA, Kennedy BK, Aramayo R, Polymenis M. Translational control of lipogenic enzymes in the cell cycle of synchronous, growing yeast cells. EMBO J 2017; 36:487-502. [PMID: 28057705 PMCID: PMC5694946 DOI: 10.15252/embj.201695050] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Revised: 11/09/2016] [Accepted: 11/18/2016] [Indexed: 02/04/2023] Open
Abstract
Translational control during cell division determines when cells start a new cell cycle, how fast they complete it, the number of successive divisions, and how cells coordinate proliferation with available nutrients. The translational efficiencies of mRNAs in cells progressing synchronously through the mitotic cell cycle, while preserving the coupling of cell division with cell growth, remain uninvestigated. We now report comprehensive ribosome profiling of a yeast cell size series from the time of cell birth, to identify mRNAs under periodic translational control. The data reveal coordinate translational activation of mRNAs encoding lipogenic enzymes late in the cell cycle including Acc1p, the rate-limiting enzyme acetyl-CoA carboxylase. An upstream open reading frame (uORF) confers the translational control of ACC1 and adjusts Acc1p protein levels in different nutrients. The ACC1 uORF is relevant for cell division because its ablation delays cell cycle progression, reduces cell size, and suppresses the replicative longevity of cells lacking the Sch9p protein kinase regulator of ribosome biogenesis. These findings establish an unexpected relationship between lipogenesis and protein synthesis in mitotic cell divisions.
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Affiliation(s)
- Heidi M Blank
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, USA
| | - Ricardo Perez
- Department of Biology, Texas A&M University, College Station, TX, USA
| | - Chong He
- The Buck Institute for Research on Aging, Novato, CA, USA
| | - Nairita Maitra
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, USA
| | - Richard Metz
- Genomics and Bioinformatics Services, Texas A&M Agrilife Research, College Station, TX, USA
| | - Joshua Hill
- Genomics and Bioinformatics Services, Texas A&M Agrilife Research, College Station, TX, USA
| | - Yuhong Lin
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, USA
| | - Charles D Johnson
- Genomics and Bioinformatics Services, Texas A&M Agrilife Research, College Station, TX, USA
| | - Vytas A Bankaitis
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, USA
- Department of Molecular & Cellular Medicine, Texas A&M Health Sciences Center, College Station, TX, USA
- Department of Chemistry, Texas A&M University, College Station, TX, USA
| | | | - Rodolfo Aramayo
- Department of Biology, Texas A&M University, College Station, TX, USA
| | - Michael Polymenis
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, USA
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33
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Endo A, Ly T, Pippa R, Bensaddek D, Nicolas A, Lamond AI. The Chromatin Assembly Factor Complex 1 (CAF1) and 5-Azacytidine (5-AzaC) Affect Cell Motility in Src-transformed Human Epithelial Cells. J Biol Chem 2016; 292:172-184. [PMID: 27872192 PMCID: PMC5217677 DOI: 10.1074/jbc.m116.751024] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Revised: 11/16/2016] [Indexed: 12/29/2022] Open
Abstract
Tumor invasion into surrounding stromal tissue is a hallmark of high grade, metastatic cancers. Oncogenic transformation of human epithelial cells in culture can be triggered by activation of v-Src kinase, resulting in increased cell motility, invasiveness, and tumorigenicity and provides a valuable model for studying how changes in gene expression cause cancer phenotypes. Here, we show that epithelial cells transformed by activated Src show increased levels of DNA methylation and that the methylation inhibitor 5-azacytidine (5-AzaC) potently blocks the increased cell motility and invasiveness induced by Src activation. A proteomic screen for chromatin regulators acting downstream of activated Src identified the replication-dependent histone chaperone CAF1 as an important factor for Src-mediated increased cell motility and invasion. We show that Src causes a 5-AzaC-sensitive decrease in both mRNA and protein levels of the p150 (CHAF1A) and p60 (CHAF1B), subunits of CAF1. Depletion of CAF1 in untransformed epithelial cells using siRNA was sufficient to recapitulate the increased motility and invasive phenotypes characteristic of transformed cells without activation of Src. Maintaining high levels of CAF1 by exogenous expression suppressed the increased cell motility and invasiveness phenotypes when Src was activated. These data identify a critical role of CAF1 in the dysregulation of cell invasion and motility phenotypes seen in transformed cells and also highlight an important role for epigenetic remodeling through DNA methylation for Src-mediated induction of cancer phenotypes.
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Affiliation(s)
- Akinori Endo
- From the Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee DD1 5EH, United Kingdom
| | - Tony Ly
- From the Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee DD1 5EH, United Kingdom
| | - Raffaella Pippa
- From the Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee DD1 5EH, United Kingdom
| | - Dalila Bensaddek
- From the Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee DD1 5EH, United Kingdom
| | - Armel Nicolas
- From the Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee DD1 5EH, United Kingdom
| | - Angus I Lamond
- From the Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee DD1 5EH, United Kingdom
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34
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CDK-1 Inhibition in G2 Stabilizes Kinetochore-Microtubules in the following Mitosis. PLoS One 2016; 11:e0157491. [PMID: 27281342 PMCID: PMC4900577 DOI: 10.1371/journal.pone.0157491] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Accepted: 05/30/2016] [Indexed: 11/18/2022] Open
Abstract
Cell proliferation is driven by cyclical activation of cyclin-dependent kinases (CDKs), which produce distinct biochemical cell cycle phases. Mitosis (M phase) is orchestrated by CDK-1, complexed with mitotic cyclins. During M phase, chromosomes are segregated by a bipolar array of microtubules called the mitotic spindle. The essential bipolarity of the mitotic spindle is established by the kinesin-5 Eg5, but factors influencing the maintenance of spindle bipolarity are not fully understood. Here, we describe an unexpected link between inhibiting CDK-1 before mitosis and bipolar spindle maintenance. Spindles in human RPE-1 cells normally collapse to monopolar structures when Eg5 is inhibited at metaphase. However, we found that inhibition of CDK-1 in the G2 phase of the cell cycle improved the ability of RPE-1 cells to maintain spindle bipolarity without Eg5 activity in the mitosis immediately after release from CDK-1 inhibition. This improved bipolarity maintenance correlated with an increase in the stability of kinetochore-microtubules, the subset of microtubules that link chromosomes to the spindle. The improvement in bipolarity maintenance after CDK-1 inhibition in G2 required both the kinesin-12 Kif15 and increased stability of kinetochore-microtubules. Consistent with increased kinetochore-microtubule stability, we find that inhibition of CDK-1 in G2 impairs mitotic fidelity by increasing the incidence of lagging chromosomes in anaphase. These results suggest that inhibition of CDK-1 in G2 causes unpredicted effects in mitosis, even after CDK-1 inhibition is relieved.
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35
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Larance M, Lamond AI. Multidimensional proteomics for cell biology. Nat Rev Mol Cell Biol 2015; 16:269-80. [DOI: 10.1038/nrm3970] [Citation(s) in RCA: 311] [Impact Index Per Article: 34.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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