Literature DB >> 26780498

Critical Points in Tumorigenesis: A Carcinogen-Initiated Phase Transition Analyzed via Single-Cell Proteomics.

Suresh Kumar Poovathingal1,2, Nataly Kravchenko-Balasha1,3, Young Shik Shin1, Raphael David Levine4,5, James R Heath1.   

Abstract

A kinetic, single-cell proteomic study of chemically induced carcinogenesis is interpreted by treating the single-cell data as fluctuations of an open system transitioning between different steady states. In analogy to a first-order transition, phase coexistence and the loss of degrees of freedom are observed. The transition is detected well before the appearance of the traditional biomarker of the carcinogenic transformation.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  carcinogenesis; microfluidics; phase transition; single-cell proteomics; steady state

Mesh:

Substances:

Year:  2016        PMID: 26780498      PMCID: PMC4886749          DOI: 10.1002/smll.201501178

Source DB:  PubMed          Journal:  Small        ISSN: 1613-6810            Impact factor:   13.281


  34 in total

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Review 2.  Nature and nurture - lessons from chemical carcinogenesis.

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Review 3.  Ras, PI(3)K and mTOR signalling controls tumour cell growth.

Authors:  Reuben J Shaw; Lewis C Cantley
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4.  Quantifying the Waddington landscape and biological paths for development and differentiation.

Authors:  Jin Wang; Kun Zhang; Li Xu; Erkang Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-02       Impact factor: 11.205

5.  Expression of Cox-2 in human breast cancer cells as a critical determinant of epithelial-to-mesenchymal transition and invasiveness.

Authors:  Claudia Bocca; Monica Ievolella; Riccardo Autelli; Manuela Motta; Luciano Mosso; Bruno Torchio; Francesca Bozzo; Stefania Cannito; Claudia Paternostro; Sebastiano Colombatto; Maurizio Parola; Antonella Miglietta
Journal:  Expert Opin Ther Targets       Date:  2013-12-11       Impact factor: 6.902

6.  Hypoxia induces a phase transition within a kinase signaling network in cancer cells.

Authors:  Wei Wei; Qihui Shi; Francoise Remacle; Lidong Qin; David B Shackelford; Young Shik Shin; Paul S Mischel; R D Levine; James R Heath
Journal:  Proc Natl Acad Sci U S A       Date:  2013-03-25       Impact factor: 11.205

7.  Preferential formation of benzo[a]pyrene adducts at lung cancer mutational hotspots in P53.

Authors:  M F Denissenko; A Pao; M Tang; G P Pfeifer
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8.  TORgeting oncogene addiction for cancer therapy.

Authors:  Andrew Y Choo; John Blenis
Journal:  Cancer Cell       Date:  2006-02       Impact factor: 31.743

9.  Cyclin D1 induction by benzo[a]pyrene-7,8-diol-9,10-epoxide via the phosphatidylinositol 3-kinase/Akt/MAPK- and p70s6k-dependent pathway promotes cell transformation and tumorigenesis.

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Review 10.  Cancer genomics: one cell at a time.

Authors:  Nicholas E Navin
Journal:  Genome Biol       Date:  2014-08-30       Impact factor: 13.583

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  8 in total

1.  A Thermodynamic-Based Interpretation of Protein Expression Heterogeneity in Different Glioblastoma Multiforme Tumors Identifies Tumor-Specific Unbalanced Processes.

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Journal:  J Phys Chem B       Date:  2016-04-12       Impact factor: 2.991

2.  Personalized disease signatures through information-theoretic compaction of big cancer data.

Authors:  Swetha Vasudevan; Efrat Flashner-Abramson; F Remacle; R D Levine; Nataly Kravchenko-Balasha
Journal:  Proc Natl Acad Sci U S A       Date:  2018-07-05       Impact factor: 11.205

Review 3.  Single cell proteomics in biomedicine: High-dimensional data acquisition, visualization, and analysis.

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Journal:  Proteomics       Date:  2017-02       Impact factor: 3.984

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Journal:  Genome Med       Date:  2022-10-20       Impact factor: 15.266

5.  Unveil early-stage nanocytotoxicity by a label-free single cell pH nanoprobe.

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6.  Phenotypic heterogeneity and evolution of melanoma cells associated with targeted therapy resistance.

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Journal:  PLoS Comput Biol       Date:  2019-06-05       Impact factor: 4.475

7.  Multi-omic single-cell snapshots reveal multiple independent trajectories to drug tolerance in a melanoma cell line.

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8.  Exploring Alzheimer's Disease Molecular Variability via Calculation of Personalized Transcriptional Signatures.

Authors:  Hila Dagan; Efrat Flashner-Abramson; Swetha Vasudevan; Maria R Jubran; Ehud Cohen; Nataly Kravchenko-Balasha
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  8 in total

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