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Application of High-Throughput Sequencing on the Chinese Herbal Medicine for the Data-Mining of the Bioactive Compounds
The Chinese Herbal Medicine (CHM) has been used worldwide in clinic to treat the vast majority of human diseases, and the healing effect is remarkable. However, the functional components and the corresponding pharmacological mechanism of the herbs are unclear. As one of the main means, the high-thro...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9331165/ https://www.ncbi.nlm.nih.gov/pubmed/35909744 http://dx.doi.org/10.3389/fpls.2022.900035 |
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author | Liu, Xiaoyan Gong, Xun Liu, Yi Liu, Junlin Zhang, Hantao Qiao, Sen Li, Gang Tang, Min |
author_facet | Liu, Xiaoyan Gong, Xun Liu, Yi Liu, Junlin Zhang, Hantao Qiao, Sen Li, Gang Tang, Min |
author_sort | Liu, Xiaoyan |
collection | PubMed |
description | The Chinese Herbal Medicine (CHM) has been used worldwide in clinic to treat the vast majority of human diseases, and the healing effect is remarkable. However, the functional components and the corresponding pharmacological mechanism of the herbs are unclear. As one of the main means, the high-throughput sequencing (HTS) technologies have been employed to discover and parse the active ingredients of CHM. Moreover, a tremendous amount of effort is made to uncover the pharmacodynamic genes associated with the synthesis of active substances. Here, based on the genome-assembly and the downstream bioinformatics analysis, we present a comprehensive summary of the application of HTS on CHM for the synthesis pathways of active ingredients from two aspects: active ingredient properties and disease classification, which are important for pharmacological, herb molecular breeding, and synthetic biology studies. |
format | Online Article Text |
id | pubmed-9331165 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93311652022-07-29 Application of High-Throughput Sequencing on the Chinese Herbal Medicine for the Data-Mining of the Bioactive Compounds Liu, Xiaoyan Gong, Xun Liu, Yi Liu, Junlin Zhang, Hantao Qiao, Sen Li, Gang Tang, Min Front Plant Sci Plant Science The Chinese Herbal Medicine (CHM) has been used worldwide in clinic to treat the vast majority of human diseases, and the healing effect is remarkable. However, the functional components and the corresponding pharmacological mechanism of the herbs are unclear. As one of the main means, the high-throughput sequencing (HTS) technologies have been employed to discover and parse the active ingredients of CHM. Moreover, a tremendous amount of effort is made to uncover the pharmacodynamic genes associated with the synthesis of active substances. Here, based on the genome-assembly and the downstream bioinformatics analysis, we present a comprehensive summary of the application of HTS on CHM for the synthesis pathways of active ingredients from two aspects: active ingredient properties and disease classification, which are important for pharmacological, herb molecular breeding, and synthetic biology studies. Frontiers Media S.A. 2022-07-14 /pmc/articles/PMC9331165/ /pubmed/35909744 http://dx.doi.org/10.3389/fpls.2022.900035 Text en Copyright © 2022 Liu, Gong, Liu, Liu, Zhang, Qiao, Li and Tang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Liu, Xiaoyan Gong, Xun Liu, Yi Liu, Junlin Zhang, Hantao Qiao, Sen Li, Gang Tang, Min Application of High-Throughput Sequencing on the Chinese Herbal Medicine for the Data-Mining of the Bioactive Compounds |
title | Application of High-Throughput Sequencing on the Chinese Herbal Medicine for the Data-Mining of the Bioactive Compounds |
title_full | Application of High-Throughput Sequencing on the Chinese Herbal Medicine for the Data-Mining of the Bioactive Compounds |
title_fullStr | Application of High-Throughput Sequencing on the Chinese Herbal Medicine for the Data-Mining of the Bioactive Compounds |
title_full_unstemmed | Application of High-Throughput Sequencing on the Chinese Herbal Medicine for the Data-Mining of the Bioactive Compounds |
title_short | Application of High-Throughput Sequencing on the Chinese Herbal Medicine for the Data-Mining of the Bioactive Compounds |
title_sort | application of high-throughput sequencing on the chinese herbal medicine for the data-mining of the bioactive compounds |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9331165/ https://www.ncbi.nlm.nih.gov/pubmed/35909744 http://dx.doi.org/10.3389/fpls.2022.900035 |
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