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Molecular profiling of single organelles for quantitative analysis of cellular heterogeneity.
Kuzmin, Andrey N; Levchenko, Svitlana M; Pliss, Artem; Qu, Junle; Prasad, Paras N.
Afiliação
  • Kuzmin AN; Advanced Cytometry Instrumentation Systems, LLC, 640 Ellicott Street - Suite 499, Buffalo, 14203, NY, USA. ankuzmin@buffalo.edu.
  • Levchenko SM; Institute for Lasers, Photonics and Biophotonics, University at Buffalo, State University of New York, Buffalo, NY, 14260, USA. ankuzmin@buffalo.edu.
  • Pliss A; Institute for Lasers, Photonics and Biophotonics, University at Buffalo, State University of New York, Buffalo, NY, 14260, USA.
  • Qu J; College of Optoelectronic Engineering, Shenzhen University, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, Shenzhen, Guangdong, 518060, China.
  • Prasad PN; Advanced Cytometry Instrumentation Systems, LLC, 640 Ellicott Street - Suite 499, Buffalo, 14203, NY, USA.
Sci Rep ; 7(1): 6512, 2017 07 26.
Article em En | MEDLINE | ID: mdl-28747639
Recent developments in Raman spectroscopy instrumentation and data processing algorithms have led to the emergence of Ramanomics - an independent discipline with unprecedented capabilities to map the distribution of distinct molecular groups in live cells. Here, we introduce a method for probing the absolute concentrations of proteins, RNA and lipids in single organelles of live cultured cells by biomolecular component analysis using microRaman data. We found significant cell-to-cell variations in the molecular profiles of organelles, thus providing a physiologically relevant set of markers of cellular heterogeneity. At the same cell the molecular profiles of different organelles can strongly correlate, reflecting tight coordination of their functions. This correlation was significant in WI-38 diploid fibroblasts and weak in HeLa cells, indicating profound differences in the regulation of biochemical processes in these cell lines.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA / Organelas / Proteínas / Células Epiteliais / Fibroblastos / Lipídeos Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA / Organelas / Proteínas / Células Epiteliais / Fibroblastos / Lipídeos Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2017 Tipo de documento: Article