Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Xiaoyan, Gong, Xun, Liu, Yi, Liu, Junlin, Zhang, Hantao, Qiao, Sen, Li, Gang, Tang, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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
_version_ 1784758335065554944
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
work_keys_str_mv AT liuxiaoyan applicationofhighthroughputsequencingonthechineseherbalmedicineforthedataminingofthebioactivecompounds
AT gongxun applicationofhighthroughputsequencingonthechineseherbalmedicineforthedataminingofthebioactivecompounds
AT liuyi applicationofhighthroughputsequencingonthechineseherbalmedicineforthedataminingofthebioactivecompounds
AT liujunlin applicationofhighthroughputsequencingonthechineseherbalmedicineforthedataminingofthebioactivecompounds
AT zhanghantao applicationofhighthroughputsequencingonthechineseherbalmedicineforthedataminingofthebioactivecompounds
AT qiaosen applicationofhighthroughputsequencingonthechineseherbalmedicineforthedataminingofthebioactivecompounds
AT ligang applicationofhighthroughputsequencingonthechineseherbalmedicineforthedataminingofthebioactivecompounds
AT tangmin applicationofhighthroughputsequencingonthechineseherbalmedicineforthedataminingofthebioactivecompounds