Dataset Information

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

ABSTRACT: 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 Cu²⁺ and Cr⁶⁺, 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.

SUBMITTER: Teng L

PROVIDER: S-EPMC5069462 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature

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

Teng Lin L Wang Xian X Wang Xiaojun X Gou Honglei H Ren Lihui L Wang Tingting T Wang Yun Y Ji Yuetong Y Huang Wei E WE Xu Jian J

Scientific reports 20161019

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 ...[more]

PMID: 27756907

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Dataset Information

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

Publications

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

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