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Production of Superoxide in Bacteria Is Stress- and Cell State-Dependent: A Gating-Optimized Flow Cytometry Method that Minimizes ROS Measurement Artifacts with Fluorescent Dyes.

ABSTRACT: The role of reactive oxygen species (ROS) in microbial metabolism and stress response has emerged as a major theme in microbiology and infectious disease. Reactive fluorescent dyes have the potential to advance the study of ROS in the complex intracellular environment, especially for high-content and high-throughput analyses. However, current dye-based approaches to measuring intracellular ROS have the potential for significant artifacts. Here, we describe a robust platform for flow cytometric quantification of ROS in bacteria using fluorescent dyes, with ROS measurements in 10s-of-1000s of individual cells under a variety of conditions. False positives and variability among sample types (e.g., bacterial species, stress conditions) are reduced with a flexible four-step gating scheme that accounts for side- and forward-scattered light (morphological changes), background fluorescence, DNA content, and dye uptake to identify cells producing ROS. Using CellROX Green dye with Escherichia coli, Mycobacterium smegmatis, and Mycobacterium bovis BCG as diverse model bacteria, we show that (1) the generation of a quantifiable CellROX Green signal for superoxide, but not hydrogen peroxide-induced hydroxyl radicals, validates this dye as a superoxide detector; (2) the level of dye-detectable superoxide does not correlate with cytotoxicity or antibiotic sensitivity; (3) the non-replicating, antibiotic tolerant state of nutrient-deprived mycobacteria is associated with high levels of superoxide; and (4) antibiotic-induced production of superoxide is idiosyncratic with regard to both the species and the physiological state of the bacteria. We also show that the gating method is applicable to other fluorescent indicator dyes, such as the 5-carboxyfluorescein diacetate acetoxymethyl ester and 5-cyano-2,3-ditolyl tetrazolium chloride for cellular esterase and reductive respiratory activities, respectively. These results demonstrate that properly controlled flow cytometry coupled with fluorescent probes provides precise and accurate quantitative analysis of ROS generation and metabolic changes in stressed bacteria.

SUBMITTER: McBee ME

PROVIDER: S-EPMC5359317 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Production of Superoxide in Bacteria Is Stress- and Cell State-Dependent: A Gating-Optimized Flow Cytometry Method that Minimizes ROS Measurement Artifacts with Fluorescent Dyes.

McBee Megan E ME Chionh Yok H YH Sharaf Mariam L ML Ho Peiying P Cai Maggie W L MW Dedon Peter C PC

Frontiers in microbiology 20170321

The role of reactive oxygen species (ROS) in microbial metabolism and stress response has emerged as a major theme in microbiology and infectious disease. Reactive fluorescent dyes have the potential to advance the study of ROS in the complex intracellular environment, especially for high-content and high-throughput analyses. However, current dye-based approaches to measuring intracellular ROS have the potential for significant artifacts. Here, we describe a robust platform for flow cytometric q ...[more]

PMID: 28377755

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Project description:The simultaneous measurement of gene expression for thousands of genes in a single analysis by the microarray technology allows researchers to describe transcriptomes in various samples of interest. Problems with variation in data quality derived from microarray experiments are well known and might result from poor RNA quality, background problems, or sub optimal signal strength. To assess variation due to the fluorescent dye chosen, three different dye pairs were tested for labelling of cDNA in gene expression analysis experiments on a porcine immune focused oligonucleotide microarray (POM3). This in-house oligonucleotide microarray allowed a direct comparison of background fluorescence, Median signal intensities, numbers of spots detected, and resistance to photobleaching between different dye pairs. We tested Alexa Flour 546/647, Cy3/Cy5 as well as Oyster 550/650 all from Genisphere Inc., Hatfield, PA, USA. Keywords: Comparison of fluorescent dyes Each dye pairs were hybridized on two slides. The same two samples were compared on all the slides used in the present study. The liver sample from a healthy animal was labeled with the high wavelength dyes (Oyster 650/Alexa 647/Cy5) and the liver sample from the sick animal was labeled with the low wavelength dyes (Oyster 550/Alexa 546/Cy3). Each slide was scanned 3 times, immediately after hybridization (first round), after 1 month of storage in darkness and after 24 hours on the bench (12 hours of daylight and 12 hours of artificial light). Total RNA from the infected and control liver samples were extracted using RNeasy midi kit (Qiagen, Denmark) and DNase treated using RNase-Free DNase Set (Qiagen). 3DNATM Array 900 expression array detection kits (Genisphere Inc.) were used for the labeling and cDNA synthesis reaction of the RNA in the present study. Three different pairs of fluorescent dyes Oyster 550/650 (Genisphere Inc.), Alexa 546/647 (Genisphere Inc.), and Cy3/Cy5 (Genisphere Inc.) were used in separate labeling reactions. Labeling was done according to the manufacturers protocol for large-scale cDNA synthesis. For the cDNA synthesis 9.2Âµg total RNA from each liver sample was used and mixed with 20U AmpliQ RTenzyme and 10x first strand buffer (Bie og Berntsen, RÃ¸dovre, Denmark). Hybridization and washing were performed according to the manufacturers instructions (Genisphere) using Corning hybridization chambers. For one cDNA hybridization reaction; 6.5Âµl cDNA from each synthesis, 0.5Âµl Salmon sperm (10Âµg/Âµl) and 13.5Âµl 2 x Formamide-Based Hybridization Buffer (3DNA Array 900, Genisphere) was used. A total hybridization mix of 29Âµl was applied under a 22I x 25 mm LifterSlip (Erie Scientific, Portsmouth, NH, USA) carefully avoiding air bubbles. Slides were incubated at 44oC in a water bath over night. Wash buffer 1 (3DNA Array 900, Genisphere) was preheated to 44oC for the post cDNA hybridization wash. For two 3DNA hybridization reaction mixes; 2.5Âµl of each Capture reagent and 26Âµl SDS-Based hybridization buffer was mixed to a final volume of 52Âµl. 26Âµl 3DNA hybridization mix was applied to each slide, and incubated in darkness in a water bath at 50oC for 4 hours. Wash buffer 1 was preheated to 60oC for the post 3DNA hybridization wash. Slides were scanned on a CCD ArrayWoRxe auto (Applied Precision, Issaquah, WA, USA) using different exposure times (0.3 for 595 nm and 1.2 for 685 nm).

Dataset Information

Production of Superoxide in Bacteria Is Stress- and Cell State-Dependent: A Gating-Optimized Flow Cytometry Method that Minimizes ROS Measurement Artifacts with Fluorescent Dyes.

Publications

Production of Superoxide in Bacteria Is Stress- and Cell State-Dependent: A Gating-Optimized Flow Cytometry Method that Minimizes ROS Measurement Artifacts with Fluorescent Dyes.

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