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Label-free, rapid and quantitative phenotyping of stress response in E. coli via ramanome

Rapid profiling of stress-response at single-cell resolution yet in a label-free, non-disruptive and mechanism-specific manner can lead to many new applications. We propose a single-cell-level biochemical fingerprinting approach named “ramanome”, which is the collection of Single-cell Raman Spectra...

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Autores principales: Teng, Lin, Wang, Xian, Wang, Xiaojun, Gou, Honglei, Ren, Lihui, Wang, Tingting, Wang, Yun, Ji, Yuetong, Huang, Wei E., Xu, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069462/
https://www.ncbi.nlm.nih.gov/pubmed/27756907
http://dx.doi.org/10.1038/srep34359
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author Teng, Lin
Wang, Xian
Wang, Xiaojun
Gou, Honglei
Ren, Lihui
Wang, Tingting
Wang, Yun
Ji, Yuetong
Huang, Wei E.
Xu, Jian
author_facet Teng, Lin
Wang, Xian
Wang, Xiaojun
Gou, Honglei
Ren, Lihui
Wang, Tingting
Wang, Yun
Ji, Yuetong
Huang, Wei E.
Xu, Jian
author_sort Teng, Lin
collection PubMed
description Rapid profiling of stress-response at single-cell resolution yet in a label-free, non-disruptive and mechanism-specific manner can lead to many new applications. We propose a single-cell-level biochemical fingerprinting approach named “ramanome”, which is the collection of Single-cell Raman Spectra (SCRS) from a number of cells randomly selected from an isogenic population at a given time and condition, to rapidly and quantitatively detect and characterize stress responses of cellular population. SCRS of Escherichia coli cells are sensitive to both exposure time (eight time points) and dosage (six doses) of ethanol, with detection time as early as 5 min and discrimination rate of either factor over 80%. Moreover, the ramanomes upon six chemical compounds from three categories, including antibiotics of ampicillin and kanamycin, alcohols of ethanol and n-butanol and heavy metals of Cu(2+) and Cr(6+), were analyzed and 31 marker Raman bands were revealed which distinguish stress-responses via cytotoxicity mechanism and variation of inter-cellular heterogeneity. Furthermore, specificity, reproducibility and mechanistic basis of ramanome were validated by tracking stress-induced dynamics of metabolites and by contrasting between cells with and without genes that convey stress resistance. Thus ramanome enables rapid prediction and mechanism-based screening of cytotoxicity and stress-response programs at single-cell resolution.
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spelling pubmed-50694622016-10-26 Label-free, rapid and quantitative phenotyping of stress response in E. coli via ramanome Teng, Lin Wang, Xian Wang, Xiaojun Gou, Honglei Ren, Lihui Wang, Tingting Wang, Yun Ji, Yuetong Huang, Wei E. Xu, Jian Sci Rep Article Rapid profiling of stress-response at single-cell resolution yet in a label-free, non-disruptive and mechanism-specific manner can lead to many new applications. We propose a single-cell-level biochemical fingerprinting approach named “ramanome”, which is the collection of Single-cell Raman Spectra (SCRS) from a number of cells randomly selected from an isogenic population at a given time and condition, to rapidly and quantitatively detect and characterize stress responses of cellular population. SCRS of Escherichia coli cells are sensitive to both exposure time (eight time points) and dosage (six doses) of ethanol, with detection time as early as 5 min and discrimination rate of either factor over 80%. Moreover, the ramanomes upon six chemical compounds from three categories, including antibiotics of ampicillin and kanamycin, alcohols of ethanol and n-butanol and heavy metals of Cu(2+) and Cr(6+), were analyzed and 31 marker Raman bands were revealed which distinguish stress-responses via cytotoxicity mechanism and variation of inter-cellular heterogeneity. Furthermore, specificity, reproducibility and mechanistic basis of ramanome were validated by tracking stress-induced dynamics of metabolites and by contrasting between cells with and without genes that convey stress resistance. Thus ramanome enables rapid prediction and mechanism-based screening of cytotoxicity and stress-response programs at single-cell resolution. Nature Publishing Group 2016-10-19 /pmc/articles/PMC5069462/ /pubmed/27756907 http://dx.doi.org/10.1038/srep34359 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Teng, Lin
Wang, Xian
Wang, Xiaojun
Gou, Honglei
Ren, Lihui
Wang, Tingting
Wang, Yun
Ji, Yuetong
Huang, Wei E.
Xu, Jian
Label-free, rapid and quantitative phenotyping of stress response in E. coli via ramanome
title Label-free, rapid and quantitative phenotyping of stress response in E. coli via ramanome
title_full Label-free, rapid and quantitative phenotyping of stress response in E. coli via ramanome
title_fullStr Label-free, rapid and quantitative phenotyping of stress response in E. coli via ramanome
title_full_unstemmed Label-free, rapid and quantitative phenotyping of stress response in E. coli via ramanome
title_short Label-free, rapid and quantitative phenotyping of stress response in E. coli via ramanome
title_sort label-free, rapid and quantitative phenotyping of stress response in e. coli via ramanome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069462/
https://www.ncbi.nlm.nih.gov/pubmed/27756907
http://dx.doi.org/10.1038/srep34359
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