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Multiparametric quantitative phase imaging for real-time, single cell, drug screening in breast cancer.
Polanco, Edward R; Moustafa, Tarek E; Butterfield, Andrew; Scherer, Sandra D; Cortes-Sanchez, Emilio; Bodily, Tyler; Spike, Benjamin T; Welm, Bryan E; Bernard, Philip S; Zangle, Thomas A.
Afiliação
  • Polanco ER; Department of Chemical Engineering, University of Utah, Salt Lake City, UT, USA.
  • Moustafa TE; Department of Chemical Engineering, University of Utah, Salt Lake City, UT, USA.
  • Butterfield A; Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
  • Scherer SD; Department of Oncological Sciences, University of Utah, Salt Lake City, UT, USA.
  • Cortes-Sanchez E; Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
  • Bodily T; Department of Oncological Sciences, University of Utah, Salt Lake City, UT, USA.
  • Spike BT; Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
  • Welm BE; Department of Oncological Sciences, University of Utah, Salt Lake City, UT, USA.
  • Bernard PS; Department of Chemical Engineering, University of Utah, Salt Lake City, UT, USA.
  • Zangle TA; Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
Commun Biol ; 5(1): 794, 2022 08 08.
Article em En | MEDLINE | ID: mdl-35941353
ABSTRACT
Quantitative phase imaging (QPI) measures the growth rate of individual cells by quantifying changes in mass versus time. Here, we use the breast cancer cell lines MCF-7, BT-474, and MDA-MB-231 to validate QPI as a multiparametric approach for determining response to single-agent therapies. Our method allows for rapid determination of drug sensitivity, cytotoxicity, heterogeneity, and time of response for up to 100,000 individual cells or small clusters in a single experiment. We find that QPI EC50 values are concordant with CellTiter-Glo (CTG), a gold standard metabolic endpoint assay. In addition, we apply multiparametric QPI to characterize cytostatic/cytotoxic and rapid/slow responses and track the emergence of resistant subpopulations. Thus, QPI reveals dynamic changes in response heterogeneity in addition to average population responses, a key advantage over endpoint viability or metabolic assays. Overall, multiparametric QPI reveals a rich picture of cell growth by capturing the dynamics of single-cell responses to candidate therapies.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Antineoplásicos Tipo de estudo: Diagnostic_studies / Screening_studies Limite: Female / Humans Idioma: En Revista: Commun Biol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Antineoplásicos Tipo de estudo: Diagnostic_studies / Screening_studies Limite: Female / Humans Idioma: En Revista: Commun Biol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos