Molecular profiling of single organelles for quantitative analysis of cellular heterogeneity

Andrey N. Kuzmin; Svitlana M. Levchenko; Artem Pliss; Junle Qu; Paras N. Prasad

doi:10.1038/s41598-017-06936-z

Molecular profiling of single organelles for quantitative analysis of cellular heterogeneity

Andrey N. Kuzmin
, Svitlana M. Levchenko
, Artem Pliss
, Junle Qu
, Paras N. Prasad

SUNY Buffalo
Shenzhen University

Research output: Contribution to journal › Article › peer-review

24 Scopus citations

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.

Original language	English
Article number	6512
Journal	Scientific Reports
Volume	7
Issue number	1
DOIs	https://doi.org/10.1038/s41598-017-06936-z
State	Published - Dec 1 2017

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title = "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 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.",

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AU - Pliss, Artem

AU - Qu, Junle

AU - Prasad, Paras N.

PY - 2017/12/1

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AB - 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.

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Molecular profiling of single organelles for quantitative analysis of cellular heterogeneity

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