Correlation coefficient-directed label-free characterization of native proteins by surface-enhanced Raman spectroscopy
Investigation of proteins in their native state is the core of proteomics towards better understanding of their structures and functions. Surface-enhanced Raman spectroscopy (SERS) has shown its unique advantages in protein characterization with fingerprint information and high sensitivity, which ma...
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| Veröffentlicht in: | Chemical science (Cambridge) 2022-11, Vol.13 (46), p.13829-13835 |
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| creator | Wang, Ping-Shi Ma, Hao Yan, Sen Lu, Xinyu Tang, Hui Xi, Xiao-Han Peng, Xiao-Hui Huang, Yajun Bao, Yi-Fan Cao, Mao-Feng Wang, Huimeng Huang, Jinglin Liu, Guokun Wang, Xiang Ren, Bin |
| description | Investigation of proteins in their native state is the core of proteomics towards better understanding of their structures and functions. Surface-enhanced Raman spectroscopy (SERS) has shown its unique advantages in protein characterization with fingerprint information and high sensitivity, which makes it a promising tool for proteomics. It is still challenging to obtain SERS spectra of proteins in the native state and evaluate the native degree. Here, we constructed 3D physiological hotspots for a label-free dynamic SERS characterization of a native protein with iodide-modified 140 nm Au nanoparticles. We further introduced the correlation coefficient to quantitatively evaluate the variation of the native degree, whose quantitative nature allows us to explicitly investigate the Hofmeister effect on the protein structure. We realized the classification of a protein of SARS-CoV-2 variants in 15 min, which has not been achieved before. This study offers an effective tool for tracking the dynamic structure of proteins and biomedical research.
Iodide modified Au nanoparticles combined with correlation coefficient allows label-free SERS characterization of proteins in native state and analysis of Hofmeister effect on protein structure, further enabling identification of protein variants. |
| doi_str_mv | 10.1039/d2sc04775f |
| format | Article |
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Iodide modified Au nanoparticles combined with correlation coefficient allows label-free SERS characterization of proteins in native state and analysis of Hofmeister effect on protein structure, further enabling identification of protein variants.</description><identifier>ISSN: 2041-6520</identifier><identifier>EISSN: 2041-6539</identifier><identifier>DOI: 10.1039/d2sc04775f</identifier><identifier>PMID: 36544733</identifier><language>eng</language><publisher>England: Royal Society of Chemistry</publisher><subject>Chemistry ; Coefficient of variation ; Correlation coefficients ; Evaluation ; Gold ; Nanoparticles ; Proteins ; Proteomics ; Raman spectroscopy ; Severe acute respiratory syndrome coronavirus 2 ; Spectrum analysis</subject><ispartof>Chemical science (Cambridge), 2022-11, Vol.13 (46), p.13829-13835</ispartof><rights>This journal is © The Royal Society of Chemistry.</rights><rights>Copyright Royal Society of Chemistry 2022</rights><rights>This journal is © The Royal Society of Chemistry 2022 The Royal Society of Chemistry</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c494t-43e88130a4ed6b5defd6e8d1610e523486588022f4a29b892e043d2d0f59a09d3</citedby><cites>FETCH-LOGICAL-c494t-43e88130a4ed6b5defd6e8d1610e523486588022f4a29b892e043d2d0f59a09d3</cites><orcidid>0000-0002-9821-5864 ; 0000-0001-6316-5898 ; 0000-0001-8341-4003 ; 0000-0003-2501-7178</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710310/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710310/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36544733$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Ping-Shi</creatorcontrib><creatorcontrib>Ma, Hao</creatorcontrib><creatorcontrib>Yan, Sen</creatorcontrib><creatorcontrib>Lu, Xinyu</creatorcontrib><creatorcontrib>Tang, Hui</creatorcontrib><creatorcontrib>Xi, Xiao-Han</creatorcontrib><creatorcontrib>Peng, Xiao-Hui</creatorcontrib><creatorcontrib>Huang, Yajun</creatorcontrib><creatorcontrib>Bao, Yi-Fan</creatorcontrib><creatorcontrib>Cao, Mao-Feng</creatorcontrib><creatorcontrib>Wang, Huimeng</creatorcontrib><creatorcontrib>Huang, Jinglin</creatorcontrib><creatorcontrib>Liu, Guokun</creatorcontrib><creatorcontrib>Wang, Xiang</creatorcontrib><creatorcontrib>Ren, Bin</creatorcontrib><title>Correlation coefficient-directed label-free characterization of native proteins by surface-enhanced Raman spectroscopy</title><title>Chemical science (Cambridge)</title><addtitle>Chem Sci</addtitle><description>Investigation of proteins in their native state is the core of proteomics towards better understanding of their structures and functions. Surface-enhanced Raman spectroscopy (SERS) has shown its unique advantages in protein characterization with fingerprint information and high sensitivity, which makes it a promising tool for proteomics. It is still challenging to obtain SERS spectra of proteins in the native state and evaluate the native degree. Here, we constructed 3D physiological hotspots for a label-free dynamic SERS characterization of a native protein with iodide-modified 140 nm Au nanoparticles. We further introduced the correlation coefficient to quantitatively evaluate the variation of the native degree, whose quantitative nature allows us to explicitly investigate the Hofmeister effect on the protein structure. We realized the classification of a protein of SARS-CoV-2 variants in 15 min, which has not been achieved before. This study offers an effective tool for tracking the dynamic structure of proteins and biomedical research.
Iodide modified Au nanoparticles combined with correlation coefficient allows label-free SERS characterization of proteins in native state and analysis of Hofmeister effect on protein structure, further enabling identification of protein variants.</description><subject>Chemistry</subject><subject>Coefficient of variation</subject><subject>Correlation coefficients</subject><subject>Evaluation</subject><subject>Gold</subject><subject>Nanoparticles</subject><subject>Proteins</subject><subject>Proteomics</subject><subject>Raman spectroscopy</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Spectrum analysis</subject><issn>2041-6520</issn><issn>2041-6539</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNpdkstr3DAQxkVoaMIml95TDL2UgFM9betSKNu8IFDo4yxkaZRV8EquZC9s_vqq2WT7EAINmp8-vpkRQm8IviCYyQ-WZoN52wp3gI4p5qRuBJOv9jHFR-g05wdcFmNE0PY1OmKN4Lxl7BhtljElGPTkY6hMBOe88RCm2voEZgJbDbqHoXYJoDIrnXS5TP5x9yC6KpRoA9WY4gQ-5KrfVnlOThuoIax0MEXiq17rUOWxCKaYTRy3J-jQ6SHD6fO5QD-uLr8vb-q7L9e3y093teGSTzVn0HWEYc3BNr2w4GwDnSUNwSAo410jug5T6rimsu8kBcyZpRY7ITWWli3Qx53uOPdrsKZUlvSgxuTXOm1V1F79mwl-pe7jRsm2dLfsBXr_LJDizxnypNY-GxgGHSDOWdFWtMUOo7Kg7_5DH-KcQimvUJzQllFKCnW-o0xpRU7g9mYIVr8nqj7Tb8uniV4V-O3f9vfoy_wKcLYDUjb77J8vwX4B5fan0A</recordid><startdate>20221130</startdate><enddate>20221130</enddate><creator>Wang, Ping-Shi</creator><creator>Ma, Hao</creator><creator>Yan, Sen</creator><creator>Lu, Xinyu</creator><creator>Tang, Hui</creator><creator>Xi, Xiao-Han</creator><creator>Peng, Xiao-Hui</creator><creator>Huang, Yajun</creator><creator>Bao, Yi-Fan</creator><creator>Cao, Mao-Feng</creator><creator>Wang, Huimeng</creator><creator>Huang, Jinglin</creator><creator>Liu, Guokun</creator><creator>Wang, Xiang</creator><creator>Ren, Bin</creator><general>Royal Society of Chemistry</general><general>The Royal Society of Chemistry</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-9821-5864</orcidid><orcidid>https://orcid.org/0000-0001-6316-5898</orcidid><orcidid>https://orcid.org/0000-0001-8341-4003</orcidid><orcidid>https://orcid.org/0000-0003-2501-7178</orcidid></search><sort><creationdate>20221130</creationdate><title>Correlation coefficient-directed label-free characterization of native proteins by surface-enhanced Raman spectroscopy</title><author>Wang, Ping-Shi ; Ma, Hao ; Yan, Sen ; Lu, Xinyu ; Tang, Hui ; Xi, Xiao-Han ; Peng, Xiao-Hui ; Huang, Yajun ; Bao, Yi-Fan ; Cao, Mao-Feng ; Wang, Huimeng ; Huang, Jinglin ; Liu, Guokun ; Wang, Xiang ; Ren, Bin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c494t-43e88130a4ed6b5defd6e8d1610e523486588022f4a29b892e043d2d0f59a09d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Chemistry</topic><topic>Coefficient of variation</topic><topic>Correlation coefficients</topic><topic>Evaluation</topic><topic>Gold</topic><topic>Nanoparticles</topic><topic>Proteins</topic><topic>Proteomics</topic><topic>Raman spectroscopy</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Spectrum analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Ping-Shi</creatorcontrib><creatorcontrib>Ma, Hao</creatorcontrib><creatorcontrib>Yan, Sen</creatorcontrib><creatorcontrib>Lu, Xinyu</creatorcontrib><creatorcontrib>Tang, Hui</creatorcontrib><creatorcontrib>Xi, Xiao-Han</creatorcontrib><creatorcontrib>Peng, Xiao-Hui</creatorcontrib><creatorcontrib>Huang, Yajun</creatorcontrib><creatorcontrib>Bao, Yi-Fan</creatorcontrib><creatorcontrib>Cao, Mao-Feng</creatorcontrib><creatorcontrib>Wang, Huimeng</creatorcontrib><creatorcontrib>Huang, Jinglin</creatorcontrib><creatorcontrib>Liu, Guokun</creatorcontrib><creatorcontrib>Wang, Xiang</creatorcontrib><creatorcontrib>Ren, Bin</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Chemical science (Cambridge)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Ping-Shi</au><au>Ma, Hao</au><au>Yan, Sen</au><au>Lu, Xinyu</au><au>Tang, Hui</au><au>Xi, Xiao-Han</au><au>Peng, Xiao-Hui</au><au>Huang, Yajun</au><au>Bao, Yi-Fan</au><au>Cao, Mao-Feng</au><au>Wang, Huimeng</au><au>Huang, Jinglin</au><au>Liu, Guokun</au><au>Wang, Xiang</au><au>Ren, Bin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Correlation coefficient-directed label-free characterization of native proteins by surface-enhanced Raman spectroscopy</atitle><jtitle>Chemical science (Cambridge)</jtitle><addtitle>Chem Sci</addtitle><date>2022-11-30</date><risdate>2022</risdate><volume>13</volume><issue>46</issue><spage>13829</spage><epage>13835</epage><pages>13829-13835</pages><issn>2041-6520</issn><eissn>2041-6539</eissn><abstract>Investigation of proteins in their native state is the core of proteomics towards better understanding of their structures and functions. Surface-enhanced Raman spectroscopy (SERS) has shown its unique advantages in protein characterization with fingerprint information and high sensitivity, which makes it a promising tool for proteomics. It is still challenging to obtain SERS spectra of proteins in the native state and evaluate the native degree. Here, we constructed 3D physiological hotspots for a label-free dynamic SERS characterization of a native protein with iodide-modified 140 nm Au nanoparticles. We further introduced the correlation coefficient to quantitatively evaluate the variation of the native degree, whose quantitative nature allows us to explicitly investigate the Hofmeister effect on the protein structure. We realized the classification of a protein of SARS-CoV-2 variants in 15 min, which has not been achieved before. This study offers an effective tool for tracking the dynamic structure of proteins and biomedical research.
Iodide modified Au nanoparticles combined with correlation coefficient allows label-free SERS characterization of proteins in native state and analysis of Hofmeister effect on protein structure, further enabling identification of protein variants.</abstract><cop>England</cop><pub>Royal Society of Chemistry</pub><pmid>36544733</pmid><doi>10.1039/d2sc04775f</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-9821-5864</orcidid><orcidid>https://orcid.org/0000-0001-6316-5898</orcidid><orcidid>https://orcid.org/0000-0001-8341-4003</orcidid><orcidid>https://orcid.org/0000-0003-2501-7178</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Chemical science (Cambridge), 2022-11, Vol.13 (46), p.13829-13835 |
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| source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; PubMed Central Open Access |
| subjects | Chemistry Coefficient of variation Correlation coefficients Evaluation Gold Nanoparticles Proteins Proteomics Raman spectroscopy Severe acute respiratory syndrome coronavirus 2 Spectrum analysis |
| title | Correlation coefficient-directed label-free characterization of native proteins by surface-enhanced Raman spectroscopy |
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