Literature DB >> 29440274

Biological noise and positional effects influence cell stemness.

Walter Blum1, Thomas Henzi1, Beat Schwaller2, László Pecze3.   

Abstract

Biological (or cellular) noise is the random quantitative variability of proteins and other molecules in individual, genetically identical cells. As the result of biological noise in the levels of some transcription factors that determine a cell's differentiation status, differentiated cells may dedifferentiate to a stem cell state given a sufficiently long time period. Here, to provide direct evidence supporting this hypothesis, we used a live-cell monitoring system based on enhanced green fluorescent protein (eGFP) expression to continuously assess the "stemness" of individual human and murine malignant mesothelioma cells over a period of up to 3 months. Re-expression of the transcription factors, the top hierarchical stemness markers Sox2 (SRY-box 2) and Oct4 (octamer-binding transcription factor), monitored as cell eGFP expression was observed in a subpopulation of differentiated eGFP(-) malignant mesothelioma cells. However, we found that this transition was extremely rare. Of note, when it did occur, neighboring cells that were not direct descendants of a newly emerged eGFP(+) stem cell were more likely than non-neighboring cells to also become an eGFP(+) stem cell. This observation suggested a positional effect and led to a clustered "mosaic" reappearance of eGFP(+) stem cells. Moreover, stem cells reappeared even in cell cultures derived from one single differentiated eGFP(-) cell. On the basis of our experimental in vitro and in vivo findings, we developed a tumor growth model to predict the clustered localization of cancer stem cells within a tumor mass.
© 2018 by The American Society for Biochemistry and Molecular Biology, Inc.

Entities:  

Keywords:  cancer biology; cancer stem cells; cell differentiation; differentiation; growth factor

Mesh:

Substances:

Year:  2018        PMID: 29440274      PMCID: PMC5892591          DOI: 10.1074/jbc.RA117.001643

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  44 in total

1.  Investigating stem cells in human colon by using methylation patterns.

Authors:  Y Yatabe; S Tavaré; D Shibata
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3.  Characterization and modeling of Ca2+ oscillations in mouse primary mesothelial cells.

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Review 4.  Cancer stem cells: an evolving concept.

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5.  EOS lentiviral vector selection system for human induced pluripotent stem cells.

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7.  Overexpression or absence of calretinin in mouse primary mesothelial cells inversely affects proliferation and cell migration.

Authors:  Walter Blum; László Pecze; Emanuela Felley-Bosco; Beat Schwaller
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8.  Single-molecule imaging of transcription factor binding to DNA in live mammalian cells.

Authors:  J Christof M Gebhardt; David M Suter; Rahul Roy; Ziqing W Zhao; Alec R Chapman; Srinjan Basu; Tom Maniatis; X Sunney Xie
Journal:  Nat Methods       Date:  2013-03-24       Impact factor: 28.547

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Journal:  Front Oncol       Date:  2013-04-15       Impact factor: 6.244

10.  A flexible reporter system for direct observation and isolation of cancer stem cells.

Authors:  Binwu Tang; Asaf Raviv; Dominic Esposito; Kathleen C Flanders; Catherine Daniel; Bao Tram Nghiem; Susan Garfield; Langston Lim; Poonam Mannan; Ana I Robles; William I Smith; Joshua Zimmerberg; Rea Ravin; Lalage M Wakefield
Journal:  Stem Cell Reports       Date:  2014-12-11       Impact factor: 7.765

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  2 in total

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Journal:  Int J Mol Sci       Date:  2022-06-23       Impact factor: 6.208

Review 2.  From single cells to tissue self-organization.

Authors:  Aline Xavier da Silveira Dos Santos; Prisca Liberali
Journal:  FEBS J       Date:  2018-11-19       Impact factor: 5.542

  2 in total

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