Profiling Single Cancer Cells with Volatolomics Approach
Single-cell analysis is a rapidly evolving to characterize molecular information at the individual cell level. Here, we present a new approach with the potential to overcome several key challenges facing the currently available techniques. The approach is based on the identification of volatile orga...
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Published in | iScience Vol. 11; pp. 178 - 188 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
25.01.2019
Elsevier |
Subjects | |
Online Access | Get full text |
ISSN | 2589-0042 2589-0042 |
DOI | 10.1016/j.isci.2018.12.008 |
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Summary: | Single-cell analysis is a rapidly evolving to characterize molecular information at the individual cell level. Here, we present a new approach with the potential to overcome several key challenges facing the currently available techniques. The approach is based on the identification of volatile organic compounds (VOCs), viz. organic compounds having relatively high vapor pressure, emitted to the cell's headspace. This concept is demonstrated using lung cancer cells with various p53 genetic status and normal lung cells. The VOCs were analyzed by gas chromatography combined with mass spectrometry. Among hundreds of detected compounds, 18 VOCs showed significant changes in their concentration levels in tumor cells versus control. The composition of these VOCs was found to depend, also, on the sub-molecular structure of the p53 genetic status. Analyzing the VOCs offers a complementary way of querying the molecular mechanisms of cancer as well as of developing new generation(s) of biomedical approaches for personalized screening and diagnosis.
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•Measurement of VOCs was achieved at the single-cell level•Genetic changes influence the emitted volatiles of single and bulk cancer cells•Single-cell VOC analysis measures population heterogeneity in initial stage of tumors•Volatolomics research can promote non-invasive, simple, and cost-effective diagnostics
Analytical Chemistry; Sensor; Biological Sciences; Cancer Systems Biology |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Lead Contact |
ISSN: | 2589-0042 2589-0042 |
DOI: | 10.1016/j.isci.2018.12.008 |