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      Proteomic analysis of cell cycle progression in asynchronous cultures, including mitotic subphases, using PRIMMUS

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          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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          Most cited references63

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          Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics.

          Quantitative proteomics has traditionally been performed by two-dimensional gel electrophoresis, but recently, mass spectrometric methods based on stable isotope quantitation have shown great promise for the simultaneous and automated identification and quantitation of complex protein mixtures. Here we describe a method, termed SILAC, for stable isotope labeling by amino acids in cell culture, for the in vivo incorporation of specific amino acids into all mammalian proteins. Mammalian cell lines are grown in media lacking a standard essential amino acid but supplemented with a non-radioactive, isotopically labeled form of that amino acid, in this case deuterated leucine (Leu-d3). We find that growth of cells maintained in these media is no different from growth in normal media as evidenced by cell morphology, doubling time, and ability to differentiate. Complete incorporation of Leu-d3 occurred after five doublings in the cell lines and proteins studied. Protein populations from experimental and control samples are mixed directly after harvesting, and mass spectrometric identification is straightforward as every leucine-containing peptide incorporates either all normal leucine or all Leu-d3. We have applied this technique to the relative quantitation of changes in protein expression during the process of muscle cell differentiation. Proteins that were found to be up-regulated during this process include glyceraldehyde-3-phosphate dehydrogenase, fibronectin, and pyruvate kinase M2. SILAC is a simple, inexpensive, and accurate procedure that can be used as a quantitative proteomic approach in any cell culture system.
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            MultiNotch MS3 Enables Accurate, Sensitive, and Multiplexed Detection of Differential Expression across Cancer Cell Line Proteomes

            Multiplexed quantitation via isobaric chemical tags (e.g., tandem mass tags (TMT) and isobaric tags for relative and absolute quantitation (iTRAQ)) has the potential to revolutionize quantitative proteomics. However, until recently the utility of these tags was questionable due to reporter ion ratio distortion resulting from fragmentation of coisolated interfering species. These interfering signals can be negated through additional gas-phase manipulations (e.g., MS/MS/MS (MS3) and proton-transfer reactions (PTR)). These methods, however, have a significant sensitivity penalty. Using isolation waveforms with multiple frequency notches (i.e., synchronous precursor selection, SPS), we coisolated and cofragmented multiple MS2 fragment ions, thereby increasing the number of reporter ions in the MS3 spectrum 10-fold over the standard MS3 method (i.e., MultiNotch MS3). By increasing the reporter ion signals, this method improves the dynamic range of reporter ion quantitation, reduces reporter ion signal variance, and ultimately produces more high-quality quantitative measurements. To demonstrate utility, we analyzed biological triplicates of eight colon cancer cell lines using the MultiNotch MS3 method. Across all the replicates we quantified 8 378 proteins in union and 6 168 proteins in common. Taking into account that each of these quantified proteins contains eight distinct cell-line measurements, this data set encompasses 174 704 quantitative ratios each measured in triplicate across the biological replicates. Herein, we demonstrate that the MultiNotch MS3 method uniquely combines multiplexing capacity with quantitative sensitivity and accuracy, drastically increasing the informational value obtainable from proteomic experiments.
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              The proliferation-quiescence decision is controlled by a bifurcation in CDK2 activity at mitotic exit.

              Tissue homeostasis in metazoans is regulated by transitions of cells between quiescence and proliferation. The hallmark of proliferating populations is progression through the cell cycle, which is driven by cyclin-dependent kinase (CDK) activity. Here, we introduce a live-cell sensor for CDK2 activity and unexpectedly found that proliferating cells bifurcate into two populations as they exit mitosis. Many cells immediately commit to the next cell cycle by building up CDK2 activity from an intermediate level, while other cells lack CDK2 activity and enter a transient state of quiescence. This bifurcation is directly controlled by the CDK inhibitor p21 and is regulated by mitogens during a restriction window at the end of the previous cell cycle. Thus, cells decide at the end of mitosis to either start the next cell cycle by immediately building up CDK2 activity or to enter a transient G0-like state by suppressing CDK2 activity. Copyright © 2013 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Role: Reviewing Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                20 October 2017
                2017
                : 6
                : e27574
                Affiliations
                [1 ]deptCentre for Gene Regulation and Expression, School of Life Sciences University of Dundee DundeeUnited Kingdom
                [2 ]deptWellcome Centre for Cell Biology University of Edinburgh EdinburghUnited Kingdom
                [3 ]deptCAST Flow Cytometry Facility, School of Life Sciences University of Dundee DundeeUnited Kingdom
                [4 ]deptDepartment of Biology University of Massachusetts MassachusettsUnited States
                [5 ]deptProgram in Molecular and Cellular Biology University of Massachusetts MassachusettsUnited States
                [6 ]deptScience for Life Laboratory Royal Institute of Technology StockholmSweden
                The Gurdon Institute United Kingdom
                The Gurdon Institute United Kingdom
                Author information
                https://orcid.org/0000-0002-8650-5215
                http://orcid.org/0000-0001-6204-6045
                Article
                27574
                10.7554/eLife.27574
                5650473
                29052541
                85a94310-b13c-4970-8e3c-1322a0de599f
                © 2017, Ly et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 11 April 2017
                : 06 October 2017
                Funding
                Funded by: Knut och Alice Wallenbergs Stiftelse;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100010269, Wellcome;
                Award ID: 105024/Z/14/Z
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100010269, Wellcome;
                Award ID: 108058/Z/15/Z
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000780, European Commission;
                Award ID: HEALTH-F4-2010-257082
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000384, Higher Education Funding Council for England;
                Award ID: UK Research Partnership Investment Fund, Project H13047
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000360, Scottish Funding Council;
                Award ID: Project H13047
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Tools and Resources
                Biochemistry
                Cell Biology
                Custom metadata
                A detailed analysis of protein abundance and phosphorylation changes across mitotic subphases and interphase in asynchronously growing human cells has been enabled by combining FACS with quantitative MS-based proteomics.

                Life sciences
                proteomics,mitosis,facs,cell cycle,phosphoproteomics,human
                Life sciences
                proteomics, mitosis, facs, cell cycle, phosphoproteomics, human

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