Literature DB >> 22243282

Detection and quantification of bacterial autofluorescence at the single-cell level by a laboratory-built high-sensitivity flow cytometer.

Lingling Yang1, Yingxing Zhou, Shaobin Zhu, Tianxun Huang, Lina Wu, Xiaomei Yan.   

Abstract

Cellular autofluorescence can affect the sensitivity of fluorescence microscopic or flow cytometric assays by interfering with or even precluding the detection of low-level specific fluorescence. Here we developed a method to detect and quantify bacterial autofluorescence in the green region of the spectrum at the single-cell level using a laboratory-built high-sensitivity flow cytometer (HSFCM). The detection of the very weak bacterial autofluorescence was confirmed by analyzing polystyrene beads of comparable and larger size than bacteria in parallel. Dithionite reduction and air re-exposure experiments verified that the green autofluorescence mainly originates from endogenous flavins. Bacterial autofluorescence was quantified by calibrating the fluorescence intensity of nanospheres with known FITC equivalents, and autofluorescence distribution was generated by analyzing thousands of bacterial cells in 1 min. Among the eight bacterial strains tested, it was found that bacterial autofluorescence can vary from 80 to 1400 FITC equivalents per cell, depending on the bacterial species, and a relatively large cell-to-cell variation in autofluorescence intensity was observed. Quantitative measurements of bacterial autofluorescence provide a reference for the background signals that can be expected with bacteria, which is important in guiding studies of low-level gene expression and for the detection of low-abundance biological molecules in individual bacterial cells. This paper presents the first quantification of bacterial autofluorescence in FITC equivalents.
© 2012 American Chemical Society

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Year:  2012        PMID: 22243282     DOI: 10.1021/ac2031332

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  7 in total

1.  Use of Flavin-Related Cellular Autofluorescence to Monitor Processes in Microbial Biotechnology.

Authors:  Lucie Müllerová; Kateřina Marková; Stanislav Obruča; Filip Mravec
Journal:  Microorganisms       Date:  2022-06-08

2.  Emerging Microtechnologies and Automated Systems for Rapid Bacterial Identification and Antibiotic Susceptibility Testing.

Authors:  Yiyan Li; Xing Yang; Weian Zhao
Journal:  SLAS Technol       Date:  2017-08-29       Impact factor: 3.047

3.  Single molecule super-resolution imaging of proteins in living Salmonella enterica using self-labelling enzymes.

Authors:  Britta Barlag; Oliver Beutel; Dennis Janning; Frederik Czarniak; Christian P Richter; Carina Kommnick; Vera Göser; Rainer Kurre; Florian Fabiani; Marc Erhardt; Jacob Piehler; Michael Hensel
Journal:  Sci Rep       Date:  2016-08-18       Impact factor: 4.379

4.  Composition of the Intranuclear Inclusions of Fragile X-associated Tremor/Ataxia Syndrome.

Authors:  Lisa Ma; Anthony W Herren; Glenda Espinal; Jamie Randol; Bridget McLaughlin; Veronica Martinez-Cerdeño; Isaac N Pessah; Randi J Hagerman; Paul J Hagerman
Journal:  Acta Neuropathol Commun       Date:  2019-09-03       Impact factor: 7.801

Review 5.  Nanomaterial-Based Immunocapture Platforms for the Recognition, Isolation, and Detection of Circulating Tumor Cells.

Authors:  Yichao Liu; Rui Li; Lingling Zhang; Shishang Guo
Journal:  Front Bioeng Biotechnol       Date:  2022-03-14

6.  Using fluorescence flow cytometry data for single-cell gene expression analysis in bacteria.

Authors:  Luca Galbusera; Gwendoline Bellement-Theroue; Arantxa Urchueguia; Thomas Julou; Erik van Nimwegen
Journal:  PLoS One       Date:  2020-10-12       Impact factor: 3.240

7.  Single-molecule imaging of electroporated dye-labelled CheY in live Escherichia coli.

Authors:  Diana Di Paolo; Oshri Afanzar; Judith P Armitage; Richard M Berry
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-11-05       Impact factor: 6.237

  7 in total

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