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A Strategy for Rapid Discovery of Marker Peptides Associated with Fibrinolytic Efficacy of Pheretima aspergillum Based on Bioinformatics Combined with Parallel Reaction Monitoring

Quality control of animal-derived traditional Chinese medicines has improved dramatically as proteomics research advanced in the past few decades. However, it remains challenging to identify quality attributes with routine proteomics approaches since protein with fibrinolytic activity is rarely repo...

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Autores principales: Feng, Ting-Ting, Zhang, Jing-Xian, Zhang, Yong-Peng, Sun, Jian, Yu, Hong, Tao, Xiang, Mao, Xiu-Hong, Hu, Qing, Ji, Shen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9100157/
https://www.ncbi.nlm.nih.gov/pubmed/35566002
http://dx.doi.org/10.3390/molecules27092651
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author Feng, Ting-Ting
Zhang, Jing-Xian
Zhang, Yong-Peng
Sun, Jian
Yu, Hong
Tao, Xiang
Mao, Xiu-Hong
Hu, Qing
Ji, Shen
author_facet Feng, Ting-Ting
Zhang, Jing-Xian
Zhang, Yong-Peng
Sun, Jian
Yu, Hong
Tao, Xiang
Mao, Xiu-Hong
Hu, Qing
Ji, Shen
author_sort Feng, Ting-Ting
collection PubMed
description Quality control of animal-derived traditional Chinese medicines has improved dramatically as proteomics research advanced in the past few decades. However, it remains challenging to identify quality attributes with routine proteomics approaches since protein with fibrinolytic activity is rarely reported in pheretima, a typical animal-derived traditional medicine. A novel strategy based on bioinformatics combined with parallel reaction monitoring (PRM) was developed here to rapidly discover the marker peptides associated with a fibrinolytic effect. Potential marker peptides were found by lumbrokinase sequences’ alignment and in silico digestion. The fibrinogen zymography was used to visually identify fibrinolytic proteins in pheretima. As a result, it was found that the fibrinolytic activity varied among different portions of pheretima. Fibrinolytic proteins were distributed regionally in the anterior and anterior-mid portion and there was no significant fibrinogenolytic activity observed in the mid-posterior and posterior portion. Finally, PRM experiments were deployed to validate and quantify selected marker peptides and a total of 11 peptides were identified as marker peptides, which could be potentially used in quality control of pheretima. This strategy provides a robust workflow to benefit the quality control of other animal-derived traditional medicines.
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spelling pubmed-91001572022-05-14 A Strategy for Rapid Discovery of Marker Peptides Associated with Fibrinolytic Efficacy of Pheretima aspergillum Based on Bioinformatics Combined with Parallel Reaction Monitoring Feng, Ting-Ting Zhang, Jing-Xian Zhang, Yong-Peng Sun, Jian Yu, Hong Tao, Xiang Mao, Xiu-Hong Hu, Qing Ji, Shen Molecules Article Quality control of animal-derived traditional Chinese medicines has improved dramatically as proteomics research advanced in the past few decades. However, it remains challenging to identify quality attributes with routine proteomics approaches since protein with fibrinolytic activity is rarely reported in pheretima, a typical animal-derived traditional medicine. A novel strategy based on bioinformatics combined with parallel reaction monitoring (PRM) was developed here to rapidly discover the marker peptides associated with a fibrinolytic effect. Potential marker peptides were found by lumbrokinase sequences’ alignment and in silico digestion. The fibrinogen zymography was used to visually identify fibrinolytic proteins in pheretima. As a result, it was found that the fibrinolytic activity varied among different portions of pheretima. Fibrinolytic proteins were distributed regionally in the anterior and anterior-mid portion and there was no significant fibrinogenolytic activity observed in the mid-posterior and posterior portion. Finally, PRM experiments were deployed to validate and quantify selected marker peptides and a total of 11 peptides were identified as marker peptides, which could be potentially used in quality control of pheretima. This strategy provides a robust workflow to benefit the quality control of other animal-derived traditional medicines. MDPI 2022-04-20 /pmc/articles/PMC9100157/ /pubmed/35566002 http://dx.doi.org/10.3390/molecules27092651 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Feng, Ting-Ting
Zhang, Jing-Xian
Zhang, Yong-Peng
Sun, Jian
Yu, Hong
Tao, Xiang
Mao, Xiu-Hong
Hu, Qing
Ji, Shen
A Strategy for Rapid Discovery of Marker Peptides Associated with Fibrinolytic Efficacy of Pheretima aspergillum Based on Bioinformatics Combined with Parallel Reaction Monitoring
title A Strategy for Rapid Discovery of Marker Peptides Associated with Fibrinolytic Efficacy of Pheretima aspergillum Based on Bioinformatics Combined with Parallel Reaction Monitoring
title_full A Strategy for Rapid Discovery of Marker Peptides Associated with Fibrinolytic Efficacy of Pheretima aspergillum Based on Bioinformatics Combined with Parallel Reaction Monitoring
title_fullStr A Strategy for Rapid Discovery of Marker Peptides Associated with Fibrinolytic Efficacy of Pheretima aspergillum Based on Bioinformatics Combined with Parallel Reaction Monitoring
title_full_unstemmed A Strategy for Rapid Discovery of Marker Peptides Associated with Fibrinolytic Efficacy of Pheretima aspergillum Based on Bioinformatics Combined with Parallel Reaction Monitoring
title_short A Strategy for Rapid Discovery of Marker Peptides Associated with Fibrinolytic Efficacy of Pheretima aspergillum Based on Bioinformatics Combined with Parallel Reaction Monitoring
title_sort strategy for rapid discovery of marker peptides associated with fibrinolytic efficacy of pheretima aspergillum based on bioinformatics combined with parallel reaction monitoring
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9100157/
https://www.ncbi.nlm.nih.gov/pubmed/35566002
http://dx.doi.org/10.3390/molecules27092651
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