Molecular profiling of single organelles for quantitative analysis of cellular heterogeneity

Abstract 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 pr...

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Autores principales:	Andrey N. Kuzmin, Svitlana M. Levchenko, Artem Pliss, Junle Qu, Paras N. Prasad
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/327cb66f8ad2477d90db4379fc273ec1
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spelling	oai:doaj.org-article:327cb66f8ad2477d90db4379fc273ec12021-12-02T16:08:20ZMolecular profiling of single organelles for quantitative analysis of cellular heterogeneity10.1038/s41598-017-06936-z2045-2322https://doaj.org/article/327cb66f8ad2477d90db4379fc273ec12017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-06936-zhttps://doaj.org/toc/2045-2322Abstract 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.Andrey N. KuzminSvitlana M. LevchenkoArtem PlissJunle QuParas N. PrasadNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Andrey N. Kuzmin Svitlana M. Levchenko Artem Pliss Junle Qu Paras N. Prasad Molecular profiling of single organelles for quantitative analysis of cellular heterogeneity
description	Abstract 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.
format	article
author	Andrey N. Kuzmin Svitlana M. Levchenko Artem Pliss Junle Qu Paras N. Prasad
author_facet	Andrey N. Kuzmin Svitlana M. Levchenko Artem Pliss Junle Qu Paras N. Prasad
author_sort	Andrey N. Kuzmin
title	Molecular profiling of single organelles for quantitative analysis of cellular heterogeneity
title_short	Molecular profiling of single organelles for quantitative analysis of cellular heterogeneity
title_full	Molecular profiling of single organelles for quantitative analysis of cellular heterogeneity
title_fullStr	Molecular profiling of single organelles for quantitative analysis of cellular heterogeneity
title_full_unstemmed	Molecular profiling of single organelles for quantitative analysis of cellular heterogeneity
title_sort	molecular profiling of single organelles for quantitative analysis of cellular heterogeneity
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/327cb66f8ad2477d90db4379fc273ec1
work_keys_str_mv	AT andreynkuzmin molecularprofilingofsingleorganellesforquantitativeanalysisofcellularheterogeneity AT svitlanamlevchenko molecularprofilingofsingleorganellesforquantitativeanalysisofcellularheterogeneity AT artempliss molecularprofilingofsingleorganellesforquantitativeanalysisofcellularheterogeneity AT junlequ molecularprofilingofsingleorganellesforquantitativeanalysisofcellularheterogeneity AT parasnprasad molecularprofilingofsingleorganellesforquantitativeanalysisofcellularheterogeneity
_version_	1718384520534687744

Molecular profiling of single organelles for quantitative analysis of cellular heterogeneity

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