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Platform for combined analysis of functional and biomolecular phenotypes of the same cell.
Kelbauskas, L; Ashili, S; Zeng, J; Rezaie, A; Lee, K; Derkach, D; Ueberroth, B; Gao, W; Paulson, T; Wang, H; Tian, Y; Smith, D; Reid, B; Meldrum, Deirdre R.
Afiliação
  • Kelbauskas L; Center for Biosignatures Discovery Automation, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
  • Ashili S; Center for Biosignatures Discovery Automation, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
  • Zeng J; Center for Biosignatures Discovery Automation, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
  • Rezaie A; Center for Biosignatures Discovery Automation, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
  • Lee K; Center for Biosignatures Discovery Automation, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
  • Derkach D; Center for Biosignatures Discovery Automation, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
  • Ueberroth B; Center for Biosignatures Discovery Automation, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
  • Gao W; Center for Biosignatures Discovery Automation, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
  • Paulson T; Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Wang H; Center for Biosignatures Discovery Automation, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
  • Tian Y; Center for Biosignatures Discovery Automation, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
  • Smith D; Center for Biosignatures Discovery Automation, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
  • Reid B; Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Meldrum DR; Center for Biosignatures Discovery Automation, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Sci Rep ; 7: 44636, 2017 03 16.
Article em En | MEDLINE | ID: mdl-28300162
ABSTRACT
Functional and molecular cell-to-cell variability is pivotal at the cellular, tissue and whole-organism levels. Yet, the ultimate goal of directly correlating the function of the individual cell with its biomolecular profile remains elusive. We present a platform for integrated analysis of functional and transcriptional phenotypes in the same single cells. We investigated changes in the cellular respiration and gene expression diversity resulting from adaptation to repeated episodes of acute hypoxia in a premalignant progression model. We find differential, progression stage-specific alterations in phenotypic heterogeneity and identify cells with aberrant phenotypes. To our knowledge, this study is the first demonstration of an integrated approach to elucidate how heterogeneity at the transcriptional level manifests in the physiologic profile of individual cells in the context of disease progression.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Célula Única Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Célula Única Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos