Cargando…
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...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6319329/ https://www.ncbi.nlm.nih.gov/pubmed/30612036 http://dx.doi.org/10.1016/j.isci.2018.12.008 |
_version_ | 1783385053285318656 |
---|---|
author | Serasanambati, Mamatha Broza, Yoav Y. Marmur, Abraham Haick, Hossam |
author_facet | Serasanambati, Mamatha Broza, Yoav Y. Marmur, Abraham Haick, Hossam |
author_sort | Serasanambati, Mamatha |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6319329 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-63193292019-01-09 Profiling Single Cancer Cells with Volatolomics Approach Serasanambati, Mamatha Broza, Yoav Y. Marmur, Abraham Haick, Hossam iScience Article 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. Elsevier 2018-12-14 /pmc/articles/PMC6319329/ /pubmed/30612036 http://dx.doi.org/10.1016/j.isci.2018.12.008 Text en © 2018 Technion - Israel Institute of Technology http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Serasanambati, Mamatha Broza, Yoav Y. Marmur, Abraham Haick, Hossam Profiling Single Cancer Cells with Volatolomics Approach |
title | Profiling Single Cancer Cells with Volatolomics Approach |
title_full | Profiling Single Cancer Cells with Volatolomics Approach |
title_fullStr | Profiling Single Cancer Cells with Volatolomics Approach |
title_full_unstemmed | Profiling Single Cancer Cells with Volatolomics Approach |
title_short | Profiling Single Cancer Cells with Volatolomics Approach |
title_sort | profiling single cancer cells with volatolomics approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6319329/ https://www.ncbi.nlm.nih.gov/pubmed/30612036 http://dx.doi.org/10.1016/j.isci.2018.12.008 |
work_keys_str_mv | AT serasanambatimamatha profilingsinglecancercellswithvolatolomicsapproach AT brozayoavy profilingsinglecancercellswithvolatolomicsapproach AT marmurabraham profilingsinglecancercellswithvolatolomicsapproach AT haickhossam profilingsinglecancercellswithvolatolomicsapproach |