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Characterization of natural peptides in Pheretima by integrating proteogenomics and label-free peptidomics
Pheretima, also called “earthworms”, is a well-known animal-derived traditional Chinese medicine that is extensively used in over 50 Chinese patent medicines (CPMs) in Chinese Pharmacopoeia (2020 edition). However, its zoological origin is unclear, both in the herbal market and CPMs. In this study,...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Xi'an Jiaotong University
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568111/ https://www.ncbi.nlm.nih.gov/pubmed/37842652 http://dx.doi.org/10.1016/j.jpha.2023.06.006 |
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author | Luo, Xiaoxiao Bi, Qirui Huang, Dongdong Li, Yun Yao, Changliang Zhang, Jianqing Wei, Wenlong Li, Jiayuan Li, Zhenwei Zhang, Jingxian Ji, Shen Wang, Yurong Guo, De-an |
author_facet | Luo, Xiaoxiao Bi, Qirui Huang, Dongdong Li, Yun Yao, Changliang Zhang, Jianqing Wei, Wenlong Li, Jiayuan Li, Zhenwei Zhang, Jingxian Ji, Shen Wang, Yurong Guo, De-an |
author_sort | Luo, Xiaoxiao |
collection | PubMed |
description | Pheretima, also called “earthworms”, is a well-known animal-derived traditional Chinese medicine that is extensively used in over 50 Chinese patent medicines (CPMs) in Chinese Pharmacopoeia (2020 edition). However, its zoological origin is unclear, both in the herbal market and CPMs. In this study, a strategy for integrating in-house annotated protein databases constructed from close evolutionary relationship-sourced RNA sequencing data from public archival resources and various sequencing algorithms (restricted search, open search, and de novo) was developed to characterize the phenotype of natural peptides of three major commercial species of Pheretima, including Pheretima aspergillum (PA), Pheretima vulgaris (PV), and Metaphire magna (MM). We identified 10,477 natural peptides in the PA, 7,451 in PV, and 5,896 in MM samples. Five specific signature peptides were screened and then validated using synthetic peptides; these demonstrated robust specificity for the authentication of PA, PV, and MM. Finally, all marker peptides were successfully applied to identify the zoological origins of Brain Heart capsules and Xiaohuoluo pills, revealing the inconsistent Pheretima species used in these CPMs. In conclusion, our integrated strategy could be used for the in-depth characterization of natural peptides of other animal-derived traditional Chinese medicines, especially non-model species with poorly annotated protein databases. |
format | Online Article Text |
id | pubmed-10568111 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Xi'an Jiaotong University |
record_format | MEDLINE/PubMed |
spelling | pubmed-105681112023-10-13 Characterization of natural peptides in Pheretima by integrating proteogenomics and label-free peptidomics Luo, Xiaoxiao Bi, Qirui Huang, Dongdong Li, Yun Yao, Changliang Zhang, Jianqing Wei, Wenlong Li, Jiayuan Li, Zhenwei Zhang, Jingxian Ji, Shen Wang, Yurong Guo, De-an J Pharm Anal Original Article Pheretima, also called “earthworms”, is a well-known animal-derived traditional Chinese medicine that is extensively used in over 50 Chinese patent medicines (CPMs) in Chinese Pharmacopoeia (2020 edition). However, its zoological origin is unclear, both in the herbal market and CPMs. In this study, a strategy for integrating in-house annotated protein databases constructed from close evolutionary relationship-sourced RNA sequencing data from public archival resources and various sequencing algorithms (restricted search, open search, and de novo) was developed to characterize the phenotype of natural peptides of three major commercial species of Pheretima, including Pheretima aspergillum (PA), Pheretima vulgaris (PV), and Metaphire magna (MM). We identified 10,477 natural peptides in the PA, 7,451 in PV, and 5,896 in MM samples. Five specific signature peptides were screened and then validated using synthetic peptides; these demonstrated robust specificity for the authentication of PA, PV, and MM. Finally, all marker peptides were successfully applied to identify the zoological origins of Brain Heart capsules and Xiaohuoluo pills, revealing the inconsistent Pheretima species used in these CPMs. In conclusion, our integrated strategy could be used for the in-depth characterization of natural peptides of other animal-derived traditional Chinese medicines, especially non-model species with poorly annotated protein databases. Xi'an Jiaotong University 2023-09 2023-06-15 /pmc/articles/PMC10568111/ /pubmed/37842652 http://dx.doi.org/10.1016/j.jpha.2023.06.006 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Luo, Xiaoxiao Bi, Qirui Huang, Dongdong Li, Yun Yao, Changliang Zhang, Jianqing Wei, Wenlong Li, Jiayuan Li, Zhenwei Zhang, Jingxian Ji, Shen Wang, Yurong Guo, De-an Characterization of natural peptides in Pheretima by integrating proteogenomics and label-free peptidomics |
title | Characterization of natural peptides in Pheretima by integrating proteogenomics and label-free peptidomics |
title_full | Characterization of natural peptides in Pheretima by integrating proteogenomics and label-free peptidomics |
title_fullStr | Characterization of natural peptides in Pheretima by integrating proteogenomics and label-free peptidomics |
title_full_unstemmed | Characterization of natural peptides in Pheretima by integrating proteogenomics and label-free peptidomics |
title_short | Characterization of natural peptides in Pheretima by integrating proteogenomics and label-free peptidomics |
title_sort | characterization of natural peptides in pheretima by integrating proteogenomics and label-free peptidomics |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568111/ https://www.ncbi.nlm.nih.gov/pubmed/37842652 http://dx.doi.org/10.1016/j.jpha.2023.06.006 |
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