Literature DB >> 23765719

Raman tweezers sorting of single microbial cells.

Wei E Huang1, Andrew D Ward, Andrew S Whiteley.   

Abstract

We have selectively isolated microbial cells by identifying and then manipulating cells using a combination of Raman microspectroscopy and optical trapping. The criterion for cell discrimination is based on spectral peak shifts within the Raman spectrum of individual cells. A specific shift in the phenylalanine peak position from 1001 rel. cm(-1) to 965 rel. cm(-1) is utilized to indicate the uptake of (13) C within the cell that utilized (13) C-substrate. Cells were captured and manipulated using an infrared (1064 nm) laser while Raman spectra were acquired over shorter timescales (30 s) using a co-aligned 514.5 nm laser beam. Selected cells were manoeuvred to a clean part of a capillary tube and the tubes were cleaved to physically separate the cells. The technique was tested for cell viability and cross-contamination effects using 70 single yeast cells (Saccharomyces cerevisia). Following these tests, 58 single bacterial cells (Escherichia coli DH5α, and Pseudomonas fluorescens SBW25::Km-RFP) that exhibited (13) C uptake were sorted from bacterial populations. Among those isolated cells, 11 out of 18 yeast cells and 7 out of 18 single SBW25::Km-RFP cells were recovered by incubation; 2 out of 7 sorted yeast cells and 3 out of 8 sorted bacterial cells (single SBW25::Km-RFP) were genome amplified correctly. We show that the Raman tweezers approach has the potential to open a new frontier to study unculturable microorganisms, which account for more than 99% microbes in natural environment.
© 2009 Society for Applied Microbiology and Blackwell Publishing Ltd.

Entities:  

Year:  2009        PMID: 23765719     DOI: 10.1111/j.1758-2229.2008.00002.x

Source DB:  PubMed          Journal:  Environ Microbiol Rep        ISSN: 1758-2229            Impact factor:   3.541


  31 in total

1.  Optofluidic Raman-activated cell sorting for targeted genome retrieval or cultivation of microbial cells with specific functions.

Authors:  Kang Soo Lee; Fátima C Pereira; Márton Palatinszky; Lars Behrendt; Uria Alcolombri; David Berry; Michael Wagner; Roman Stocker
Journal:  Nat Protoc       Date:  2020-12-11       Impact factor: 13.491

Review 2.  Development overview of Raman-activated cell sorting devoted to bacterial detection at single-cell level.

Authors:  Shuaishuai Yan; Jingxuan Qiu; Liang Guo; Dezhi Li; Dongpo Xu; Qing Liu
Journal:  Appl Microbiol Biotechnol       Date:  2021-01-22       Impact factor: 4.813

3.  Visualizing in situ translational activity for identifying and sorting slow-growing archaeal-bacterial consortia.

Authors:  Roland Hatzenpichler; Stephanie A Connon; Danielle Goudeau; Rex R Malmstrom; Tanja Woyke; Victoria J Orphan
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-28       Impact factor: 11.205

4.  Rapid resonance Raman microspectroscopy to probe carbon dioxide fixation by single cells in microbial communities.

Authors:  Mengqiu Li; Daniel P Canniffe; Philip J Jackson; Paul A Davison; Simon FitzGerald; Mark J Dickman; J Grant Burgess; C Neil Hunter; Wei E Huang
Journal:  ISME J       Date:  2011-11-24       Impact factor: 10.302

Review 5.  Single cell genome sequencing.

Authors:  Suzan Yilmaz; Anup K Singh
Journal:  Curr Opin Biotechnol       Date:  2011-12-07       Impact factor: 9.740

6.  Rapid identification and antibiotic susceptibility test of pathogens in blood based on magnetic separation and surface-enhanced Raman scattering.

Authors:  Jia Li; Chongwen Wang; Luoluo Shi; Liting Shao; Peiwen Fu; Keli Wang; Rui Xiao; Shengqi Wang; Bing Gu
Journal:  Mikrochim Acta       Date:  2019-06-27       Impact factor: 5.833

7.  Blood identification at the single-cell level based on a combination of laser tweezers Raman spectroscopy and machine learning.

Authors:  Ziqi Wang; Yiming Liu; Weilai Lu; Yu Vincent Fu; Zhehai Zhou
Journal:  Biomed Opt Express       Date:  2021-11-12       Impact factor: 3.732

Review 8.  Quantifying the metabolic activities of human-associated microbial communities across multiple ecological scales.

Authors:  Corinne F Maurice; Peter J Turnbaugh
Journal:  FEMS Microbiol Rev       Date:  2013-04-22       Impact factor: 16.408

9.  An automated Raman-based platform for the sorting of live cells by functional properties.

Authors:  Kang Soo Lee; Márton Palatinszky; Fátima C Pereira; Jen Nguyen; Vicente I Fernandez; Anna J Mueller; Filippo Menolascina; Holger Daims; David Berry; Michael Wagner; Roman Stocker
Journal:  Nat Microbiol       Date:  2019-03-18       Impact factor: 17.745

10.  Tracking heavy water (D2O) incorporation for identifying and sorting active microbial cells.

Authors:  David Berry; Esther Mader; Tae Kwon Lee; Dagmar Woebken; Yun Wang; Di Zhu; Marton Palatinszky; Arno Schintlmeister; Markus C Schmid; Buck T Hanson; Naama Shterzer; Itzhak Mizrahi; Isabella Rauch; Thomas Decker; Thomas Bocklitz; Jürgen Popp; Christopher M Gibson; Patrick W Fowler; Wei E Huang; Michael Wagner
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-30       Impact factor: 11.205

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