Evidence map›Paper›PMID 36544733›Full record

ArticleChemical science2022

Correlation coefficient-directed label-free characterization of native proteins by surface-enhanced Raman spectroscopy.

Ping-Shi Wang, Hao Ma, Sen Yan, Xinyu Lu, Hui Tang, Xiao-Han Xi, Xiao-Hui Peng, Yajun Huang, Yi-Fan Bao, Mao-Feng Cao and 5 more

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Article in Chemical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Ping-Shi WangState Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (i-ChEM), Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 China oaham@xmu.edu.cn wangxiang@xmu.edu.cn bren@xmu.edu.cn.
Hao MaState Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (i-ChEM), Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 China oaham@xmu.edu.cn wangxiang@xmu.edu.cn bren@xmu.edu.cn.ORCID https://orcid.org/0000-0001-8341-4003
Sen YanState Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (i-ChEM), Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 China oaham@xmu.edu.cn wangxiang@xmu.edu.cn bren@xmu.edu.cn.
Xinyu LuState Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (i-ChEM), Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 China oaham@xmu.edu.cn wangxiang@xmu.edu.cn bren@xmu.edu.cn.
Hui TangState Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (i-ChEM), Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 China oaham@xmu.edu.cn wangxiang@xmu.edu.cn bren@xmu.edu.cn.
Xiao-Han XiState Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (i-ChEM), Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 China oaham@xmu.edu.cn wangxiang@xmu.edu.cn bren@xmu.edu.cn.
Xiao-Hui PengState Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (i-ChEM), Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 China oaham@xmu.edu.cn wangxiang@xmu.edu.cn bren@xmu.edu.cn.
Yajun HuangState Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (i-ChEM), Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 China oaham@xmu.edu.cn wangxiang@xmu.edu.cn bren@xmu.edu.cn.
Yi-Fan BaoState Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (i-ChEM), Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 China oaham@xmu.edu.cn wangxiang@xmu.edu.cn bren@xmu.edu.cn.
Mao-Feng CaoState Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (i-ChEM), Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 China oaham@xmu.edu.cn wangxiang@xmu.edu.cn bren@xmu.edu.cn.
Huimeng WangState Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (i-ChEM), Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 China oaham@xmu.edu.cn wangxiang@xmu.edu.cn bren@xmu.edu.cn.
Jinglin HuangLaser Fusion Research Center, China Academy of Engineering Physics Mianyang 621900 China.ORCID https://orcid.org/0000-0001-6316-5898
Guokun LiuState Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Xiamen University Xiamen 361005 China.ORCID https://orcid.org/0000-0003-2501-7178
Xiang WangState Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (i-ChEM), Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 China oaham@xmu.edu.cn wangxiang@xmu.edu.cn bren@xmu.edu.cn.
Bin RenState Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (i-ChEM), Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 China oaham@xmu.edu.cn wangxiang@xmu.edu.cn bren@xmu.edu.cn.ORCID https://orcid.org/0000-0002-9821-5864

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID36544733
PMCPMC9710310

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