Plasmonic imaging of protein interactions with single bacterial cells
Quantifying the interactions of bacteria with external ligands is fundamental to the understanding of pathogenesis, antibiotic resistance, immune evasion, and mechanism of antimicrobial action. Due to inherent cell-to-cell heterogeneity in a microbial population, each bacterium interacts differently...
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Veröffentlicht in: | Biosensors & bioelectronics 2015-01, Vol.63, p.131-137 |
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creator | Syal, Karan Wang, Wei Shan, Xiaonan Wang, Shaopeng Chen, Hong-Yuan Tao, Nongjian |
description | Quantifying the interactions of bacteria with external ligands is fundamental to the understanding of pathogenesis, antibiotic resistance, immune evasion, and mechanism of antimicrobial action. Due to inherent cell-to-cell heterogeneity in a microbial population, each bacterium interacts differently with its environment. This large variability is washed out in bulk assays, and there is a need of techniques that can quantify interactions of bacteria with ligands at the single bacterium level. In this work, we present a label-free and real-time plasmonic imaging technique to measure the binding kinetics of ligand interactions with single bacteria, and perform statistical analysis of the heterogeneity. Using the technique, we have studied interactions of antibodies with single Escherichia coli O157:H7 cells and demonstrated a capability of determining the binding kinetic constants of single live bacteria with ligands, and quantify heterogeneity in a microbial population.
•Applied high resolution SPR (SPR microscopy) to determine binding interactions of a protein with a single bacterial cell.•Achieved a detection limit of a single microbial cell; orders of magnitude higher compared to conventional SPR approaches.•New tool quantifies cell-to-cell variations in kinetics constants (e.g. KD).•Discovered large inherent heterogeneity in a microbial population.•Label-free, real-time, quantitative, high-resolution optical biosensor. |
doi_str_mv | 10.1016/j.bios.2014.06.069 |
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•Applied high resolution SPR (SPR microscopy) to determine binding interactions of a protein with a single bacterial cell.•Achieved a detection limit of a single microbial cell; orders of magnitude higher compared to conventional SPR approaches.•New tool quantifies cell-to-cell variations in kinetics constants (e.g. KD).•Discovered large inherent heterogeneity in a microbial population.•Label-free, real-time, quantitative, high-resolution optical biosensor.</description><identifier>ISSN: 0956-5663</identifier><identifier>EISSN: 1873-4235</identifier><identifier>DOI: 10.1016/j.bios.2014.06.069</identifier><identifier>PMID: 25064821</identifier><language>eng</language><publisher>Kidlington: Elsevier B.V</publisher><subject>Analytical chemistry ; Antibodies - chemistry ; Antibodies - immunology ; Antigen–antibody kinetics ; Bacteria ; Bacterial population heterogeneity ; Binding ; Biological and medical sciences ; Biosensing Techniques - methods ; Biosensors ; Biotechnology ; Constants ; Escherichia coli ; Escherichia coli O157 - chemistry ; Escherichia coli O157 - pathogenicity ; Escherichia coli Proteins - chemistry ; Escherichia coli Proteins - metabolism ; Fundamental and applied biological sciences. Psychology ; Heterogeneity ; Kinetics ; Ligands ; Microorganisms ; Plasmonics ; Protein Interaction Mapping - methods ; Single microbial cell ; Single-Cell Analysis - methods ; Surface Plasmon Resonance ; Surface plasmon resonance microscopy</subject><ispartof>Biosensors & bioelectronics, 2015-01, Vol.63, p.131-137</ispartof><rights>2014 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2014 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c533t-cc31d86623b0e23d0388f031944e0c6c748276defcc4e46f7470e4810dc568103</citedby><cites>FETCH-LOGICAL-c533t-cc31d86623b0e23d0388f031944e0c6c748276defcc4e46f7470e4810dc568103</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0956566314004941$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28831733$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25064821$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Syal, Karan</creatorcontrib><creatorcontrib>Wang, Wei</creatorcontrib><creatorcontrib>Shan, Xiaonan</creatorcontrib><creatorcontrib>Wang, Shaopeng</creatorcontrib><creatorcontrib>Chen, Hong-Yuan</creatorcontrib><creatorcontrib>Tao, Nongjian</creatorcontrib><title>Plasmonic imaging of protein interactions with single bacterial cells</title><title>Biosensors & bioelectronics</title><addtitle>Biosens Bioelectron</addtitle><description>Quantifying the interactions of bacteria with external ligands is fundamental to the understanding of pathogenesis, antibiotic resistance, immune evasion, and mechanism of antimicrobial action. Due to inherent cell-to-cell heterogeneity in a microbial population, each bacterium interacts differently with its environment. This large variability is washed out in bulk assays, and there is a need of techniques that can quantify interactions of bacteria with ligands at the single bacterium level. In this work, we present a label-free and real-time plasmonic imaging technique to measure the binding kinetics of ligand interactions with single bacteria, and perform statistical analysis of the heterogeneity. Using the technique, we have studied interactions of antibodies with single Escherichia coli O157:H7 cells and demonstrated a capability of determining the binding kinetic constants of single live bacteria with ligands, and quantify heterogeneity in a microbial population.
•Applied high resolution SPR (SPR microscopy) to determine binding interactions of a protein with a single bacterial cell.•Achieved a detection limit of a single microbial cell; orders of magnitude higher compared to conventional SPR approaches.•New tool quantifies cell-to-cell variations in kinetics constants (e.g. KD).•Discovered large inherent heterogeneity in a microbial population.•Label-free, real-time, quantitative, high-resolution optical biosensor.</description><subject>Analytical chemistry</subject><subject>Antibodies - chemistry</subject><subject>Antibodies - immunology</subject><subject>Antigen–antibody kinetics</subject><subject>Bacteria</subject><subject>Bacterial population heterogeneity</subject><subject>Binding</subject><subject>Biological and medical sciences</subject><subject>Biosensing Techniques - methods</subject><subject>Biosensors</subject><subject>Biotechnology</subject><subject>Constants</subject><subject>Escherichia coli</subject><subject>Escherichia coli O157 - chemistry</subject><subject>Escherichia coli O157 - pathogenicity</subject><subject>Escherichia coli Proteins - chemistry</subject><subject>Escherichia coli Proteins - metabolism</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Heterogeneity</subject><subject>Kinetics</subject><subject>Ligands</subject><subject>Microorganisms</subject><subject>Plasmonics</subject><subject>Protein Interaction Mapping - methods</subject><subject>Single microbial cell</subject><subject>Single-Cell Analysis - methods</subject><subject>Surface Plasmon Resonance</subject><subject>Surface plasmon resonance microscopy</subject><issn>0956-5663</issn><issn>1873-4235</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU9L5EAQxRtRnFn1C3iQXAQvGavT_xLwIqK7gqAHPTc9lcrYQybR7swufvvtMKPeVCgoKH716lGPsWMOMw5cny9nc9_HWQFczkCnqnbYlJdG5LIQapdNoVI6V1qLCfsV4xIADK9gn00KBVqWBZ-y64fWxVXfecz8yi18t8j6JnsJ_UC-y3w3UHA4-L6L2T8_PGcxES1l8zSk4F2bIbVtPGR7jWsjHW37AXu6uX68-pPf3f--vbq8y1EJMeSIgtel1oWYAxWiBlGWDQheSUmAGk3yZHRNDaIkqRsjDZAsOdSodGrigJ1tdJPB1zXFwa58HB24jvp1tFwrLsGYdOF7VCgQWv5EValKc2NgVC02KIY-xkCNfQnpb-HNcrBjKHZpx1DsGIoFnapKSydb_fV8RfXHynsKCTjdAi6ia5vgOvTxkytLwY0QibvYcJR-_NdTsBE9dUi1D4SDrXv_lY__asuoiw</recordid><startdate>20150115</startdate><enddate>20150115</enddate><creator>Syal, Karan</creator><creator>Wang, Wei</creator><creator>Shan, Xiaonan</creator><creator>Wang, Shaopeng</creator><creator>Chen, Hong-Yuan</creator><creator>Tao, Nongjian</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7QL</scope><scope>7QO</scope><scope>7T7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>7SP</scope><scope>7U5</scope><scope>L7M</scope></search><sort><creationdate>20150115</creationdate><title>Plasmonic imaging of protein interactions with single bacterial cells</title><author>Syal, Karan ; Wang, Wei ; Shan, Xiaonan ; Wang, Shaopeng ; Chen, Hong-Yuan ; Tao, Nongjian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c533t-cc31d86623b0e23d0388f031944e0c6c748276defcc4e46f7470e4810dc568103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Analytical chemistry</topic><topic>Antibodies - chemistry</topic><topic>Antibodies - immunology</topic><topic>Antigen–antibody kinetics</topic><topic>Bacteria</topic><topic>Bacterial population heterogeneity</topic><topic>Binding</topic><topic>Biological and medical sciences</topic><topic>Biosensing Techniques - methods</topic><topic>Biosensors</topic><topic>Biotechnology</topic><topic>Constants</topic><topic>Escherichia coli</topic><topic>Escherichia coli O157 - chemistry</topic><topic>Escherichia coli O157 - pathogenicity</topic><topic>Escherichia coli Proteins - chemistry</topic><topic>Escherichia coli Proteins - metabolism</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Heterogeneity</topic><topic>Kinetics</topic><topic>Ligands</topic><topic>Microorganisms</topic><topic>Plasmonics</topic><topic>Protein Interaction Mapping - methods</topic><topic>Single microbial cell</topic><topic>Single-Cell Analysis - methods</topic><topic>Surface Plasmon Resonance</topic><topic>Surface plasmon resonance microscopy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Syal, Karan</creatorcontrib><creatorcontrib>Wang, Wei</creatorcontrib><creatorcontrib>Shan, Xiaonan</creatorcontrib><creatorcontrib>Wang, Shaopeng</creatorcontrib><creatorcontrib>Chen, Hong-Yuan</creatorcontrib><creatorcontrib>Tao, Nongjian</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Biosensors & bioelectronics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Syal, Karan</au><au>Wang, Wei</au><au>Shan, Xiaonan</au><au>Wang, Shaopeng</au><au>Chen, Hong-Yuan</au><au>Tao, Nongjian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Plasmonic imaging of protein interactions with single bacterial cells</atitle><jtitle>Biosensors & bioelectronics</jtitle><addtitle>Biosens Bioelectron</addtitle><date>2015-01-15</date><risdate>2015</risdate><volume>63</volume><spage>131</spage><epage>137</epage><pages>131-137</pages><issn>0956-5663</issn><eissn>1873-4235</eissn><abstract>Quantifying the interactions of bacteria with external ligands is fundamental to the understanding of pathogenesis, antibiotic resistance, immune evasion, and mechanism of antimicrobial action. Due to inherent cell-to-cell heterogeneity in a microbial population, each bacterium interacts differently with its environment. This large variability is washed out in bulk assays, and there is a need of techniques that can quantify interactions of bacteria with ligands at the single bacterium level. In this work, we present a label-free and real-time plasmonic imaging technique to measure the binding kinetics of ligand interactions with single bacteria, and perform statistical analysis of the heterogeneity. Using the technique, we have studied interactions of antibodies with single Escherichia coli O157:H7 cells and demonstrated a capability of determining the binding kinetic constants of single live bacteria with ligands, and quantify heterogeneity in a microbial population.
•Applied high resolution SPR (SPR microscopy) to determine binding interactions of a protein with a single bacterial cell.•Achieved a detection limit of a single microbial cell; orders of magnitude higher compared to conventional SPR approaches.•New tool quantifies cell-to-cell variations in kinetics constants (e.g. KD).•Discovered large inherent heterogeneity in a microbial population.•Label-free, real-time, quantitative, high-resolution optical biosensor.</abstract><cop>Kidlington</cop><pub>Elsevier B.V</pub><pmid>25064821</pmid><doi>10.1016/j.bios.2014.06.069</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Analytical chemistry Antibodies - chemistry Antibodies - immunology Antigen–antibody kinetics Bacteria Bacterial population heterogeneity Binding Biological and medical sciences Biosensing Techniques - methods Biosensors Biotechnology Constants Escherichia coli Escherichia coli O157 - chemistry Escherichia coli O157 - pathogenicity Escherichia coli Proteins - chemistry Escherichia coli Proteins - metabolism Fundamental and applied biological sciences. Psychology Heterogeneity Kinetics Ligands Microorganisms Plasmonics Protein Interaction Mapping - methods Single microbial cell Single-Cell Analysis - methods Surface Plasmon Resonance Surface plasmon resonance microscopy |
title | Plasmonic imaging of protein interactions with single bacterial cells |
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