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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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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710310/
https://www.ncbi.nlm.nih.gov/pubmed/36544733
http://dx.doi.org/10.1039/d2sc04775f
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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_facet 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 Wang, Ping-Shi
collection PubMed
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.
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spelling pubmed-97103102022-12-20 Correlation coefficient-directed label-free characterization of native proteins by surface-enhanced Raman spectroscopy 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 Chem Sci Chemistry 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. The Royal Society of Chemistry 2022-10-31 /pmc/articles/PMC9710310/ /pubmed/36544733 http://dx.doi.org/10.1039/d2sc04775f Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/
spellingShingle Chemistry
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
Correlation coefficient-directed label-free characterization of native proteins by surface-enhanced Raman spectroscopy
title Correlation coefficient-directed label-free characterization of native proteins by surface-enhanced Raman spectroscopy
title_full Correlation coefficient-directed label-free characterization of native proteins by surface-enhanced Raman spectroscopy
title_fullStr Correlation coefficient-directed label-free characterization of native proteins by surface-enhanced Raman spectroscopy
title_full_unstemmed Correlation coefficient-directed label-free characterization of native proteins by surface-enhanced Raman spectroscopy
title_short Correlation coefficient-directed label-free characterization of native proteins by surface-enhanced Raman spectroscopy
title_sort correlation coefficient-directed label-free characterization of native proteins by surface-enhanced raman spectroscopy
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710310/
https://www.ncbi.nlm.nih.gov/pubmed/36544733
http://dx.doi.org/10.1039/d2sc04775f
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