Literature DB >> 22665142

Measuring cell cycle progression kinetics with metabolic labeling and flow cytometry.

Helen Fleisig1, Judy Wong.   

Abstract

Precise control of the initiation and subsequent progression through the various phases of the cell cycle are of paramount importance in proliferating cells. Cell cycle division is an integral part of growth and reproduction and deregulation of key cell cycle components have been implicated in the precipitating events of carcinogenesis. Molecular agents in anti-cancer therapies frequently target biological pathways responsible for the regulation and coordination of cell cycle division. Although cell cycle kinetics tend to vary according to cell type, the distribution of cells amongst the four stages of the cell cycle is rather consistent within a particular cell line due to the consistent pattern of mitogen and growth factor expression. Genotoxic events and other cellular stressors can result in a temporary block of cell cycle progression, resulting in arrest or a temporary pause in a particular cell cycle phase to allow for instigation of the appropriate response mechanism. The ability to experimentally observe the behavior of a cell population with reference to their cell cycle progression stage is an important advance in cell biology. Common procedures such as mitotic shake off, differential centrifugation or flow cytometry-based sorting are used to isolate cells at specific stages of the cell cycle. These fractionated, cell cycle phase-enriched populations are then subjected to experimental treatments. Yield, purity and viability of the separated fractions can often be compromised using these physical separation methods. As well, the time lapse between separation of the cell populations and the start of experimental treatment, whereby the fractionated cells can progress from the selected cell cycle stage, can pose significant challenges in the successful implementation and interpretation of these experiments. Other approaches to study cell cycle stages include the use of chemicals to synchronize cells. Treatment of cells with chemical inhibitors of key metabolic processes for each cell cycle stage are useful in blocking the progression of the cell cycle to the next stage. For example, the ribonucleotide reductase inhibitor hydroxyurea halts cells at the G1/S juncture by limiting the supply of deoxynucleotides, the building blocks of DNA. Other notable chemicals include treatment with aphidicolin, a polymerase alpha inhibitor for G1 arrest, treatment with colchicine and nocodazole, both of which interfere with mitotic spindle formation to halt cells in M phase and finally, treatment with the DNA chain terminator 5-fluorodeoxyridine to initiate S phase arrest. Treatment with these chemicals is an effective means of synchronizing an entire population of cells at a particular phase. With removal of the chemical, cells rejoin the cell cycle in unison. Treatment of the test agent following release from the cell cycle blocking chemical ensures that the drug response elicited is from a uniform, cell cycle stage-specific population. However, since many of the chemical synchronizers are known genotoxic compounds, teasing apart the participation of various response pathways (to the synchronizers vs. the test agents) is challenging. Here we describe a metabolic labeling method for following a subpopulation of actively cycling cells through their progression from the DNA replication phase, through to the division and separation of their daughter cells. Coupled with flow cytometry quantification, this protocol enables for measurement of kinetic progression of the cell cycle in the absence of either mechanically- or chemically- induced cellular stresses commonly associated with other cell cycle synchronization methodologies. In the following sections we will discuss the methodology, as well as some of its applications in biomedical research.

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Year:  2012        PMID: 22665142      PMCID: PMC3466953          DOI: 10.3791/4045

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  13 in total

Review 1.  p53 is balancing development, differentiation and de-differentiation to assure cancer prevention.

Authors:  Alina Molchadsky; Noa Rivlin; Ran Brosh; Varda Rotter; Rachel Sarig
Journal:  Carcinogenesis       Date:  2010-05-26       Impact factor: 4.944

2.  Synchronization of cell populations in G1/S and G2/M phases of the cell cycle.

Authors:  Jane V Harper
Journal:  Methods Mol Biol       Date:  2005

3.  Inhibitors of phosphatidylinositol 3-kinase activity prevent cell cycle progression and induce apoptosis at the M/G1 transition in CHO cells.

Authors:  A van Opstal; J Boonstra
Journal:  Cell Mol Life Sci       Date:  2006-01       Impact factor: 9.261

4.  Flow cytometry to sort mammalian cells in cytokinesis.

Authors:  Isabelle Gasnereau; Olivier Ganier; Florence Bourgain; Armand de Gramont; Marie-Claude Gendron; Joëlle Sobczak-Thépot
Journal:  Cytometry A       Date:  2007-01       Impact factor: 4.355

Review 5.  Cell synchronization.

Authors:  G F Merrill
Journal:  Methods Cell Biol       Date:  1998       Impact factor: 1.441

Review 6.  Cyclin D as a therapeutic target in cancer.

Authors:  Elizabeth A Musgrove; C Elizabeth Caldon; Jane Barraclough; Andrew Stone; Robert L Sutherland
Journal:  Nat Rev Cancer       Date:  2011-07-07       Impact factor: 60.716

7.  Telomerase promotes efficient cell cycle kinetics and confers growth advantage to telomerase-negative transformed human cells.

Authors:  H B Fleisig; J M Y Wong
Journal:  Oncogene       Date:  2011-07-11       Impact factor: 9.867

8.  Analysis of cell cycle by flow cytometry.

Authors:  Piotr Pozarowski; Zbigniew Darzynkiewicz
Journal:  Methods Mol Biol       Date:  2004

9.  Synchronization of HeLa cell cultures by inhibition of DNA polymerase alpha with aphidicolin.

Authors:  G Pedrali-Noy; S Spadari; A Miller-Faurès; A O Miller; J Kruppa; G Koch
Journal:  Nucleic Acids Res       Date:  1980-01-25       Impact factor: 16.971

10.  Development of cell-cycle inhibitors for cancer therapy.

Authors:  M A Dickson; G K Schwartz
Journal:  Curr Oncol       Date:  2009-03       Impact factor: 3.677

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  4 in total

1.  E2F and GATA switches turn off WD repeat domain 77 expression in differentiating cells.

Authors:  Min Yu; Ulrica Wang; Zhengxin Wang
Journal:  Biochem J       Date:  2016-06-07       Impact factor: 3.857

2.  Anacyclus Pyrethrum Extract Exerts Anticancer Activities on the Human Colorectal Cancer Cell Line (HCT) by Targeting Apoptosis, Metastasis and Cell Cycle Arrest.

Authors:  Ali Mohammadi; Behzad Mansoori; Pooneh Chokhachi Baradaran; Sepideh Chokhachi Baradaran; Behzad Baradaran
Journal:  J Gastrointest Cancer       Date:  2017-12

3.  The Ig superfamily protein PTGFRN coordinates survival signaling in glioblastoma multiforme.

Authors:  Brittany Aguila; Adina Brett Morris; Raffaella Spina; Eli Bar; Julie Schraner; Robert Vinkler; Jason W Sohn; Scott M Welford
Journal:  Cancer Lett       Date:  2019-08-01       Impact factor: 8.679

4.  Sporadic on/off switching of HTLV-1 Tax expression is crucial to maintain the whole population of virus-induced leukemic cells.

Authors:  Mohamed Mahgoub; Jun-Ichirou Yasunaga; Shingo Iwami; Shinji Nakaoka; Yoshiki Koizumi; Kazuya Shimura; Masao Matsuoka
Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-22       Impact factor: 11.205

  4 in total

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