Differentiation of achyranthes bidentata and cyathula officinalis using peptidomic fingerprinting with multivariate analyses

Achyranthes bidentata roots (AB) is a common traditional Chinese herb used to nourish the liver and kidney. It is often confused with Cyathula officinalis roots (CO), which is used to promote blood circulation. This study aimed to characterize cysteine-rich peptides from these two species, and const...

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Main Author: Yap, Keni
Other Authors: James P Tam
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2018
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Online Access:http://hdl.handle.net/10356/74167
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spelling sg-ntu-dr.10356-741672023-02-28T18:04:12Z Differentiation of achyranthes bidentata and cyathula officinalis using peptidomic fingerprinting with multivariate analyses Yap, Keni James P Tam School of Biological Sciences JPTam@ntu.edu.sg DRNTU::Science::Biological sciences Achyranthes bidentata roots (AB) is a common traditional Chinese herb used to nourish the liver and kidney. It is often confused with Cyathula officinalis roots (CO), which is used to promote blood circulation. This study aimed to characterize cysteine-rich peptides from these two species, and construct a rapid and accurate classification model to differentiate them using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) coupling with multivariate analyses. Aranthide (aB1) of 3417.96 Da and cyathide (cO1) of 3472.46 Da were isolated from AB and CO, respectively. Mass shift experiment showed that both aB1 and cO1 contain 6 cysteine residues. The primary sequence of aB1 has been elucidated by de novo sequencing. Four MALDI-TOF MS-based multivariate classification methods were constructed and compared with that of ultra-performance liquid chromatography (UPLC). Results showed the classification methods from MALDI-TOF MS are comparable to that from UPLC. For both data matrices, k-nearest neighbours and partial least square-discriminant analysis provided the best classification accuracy. Classification and regression tree exhibited moderate identification power while potential function was regarded to have the least preferable classification capacity. In conclusion, MALDI-TOF MS coupled with multivariate analysis is a promising technique in discriminating AB and CO. Bachelor of Science in Biological Sciences 2018-05-02T06:48:29Z 2018-05-02T06:48:29Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/74167 en Nanyang Technological University 40 p. application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Science::Biological sciences
spellingShingle DRNTU::Science::Biological sciences
Yap, Keni
Differentiation of achyranthes bidentata and cyathula officinalis using peptidomic fingerprinting with multivariate analyses
description Achyranthes bidentata roots (AB) is a common traditional Chinese herb used to nourish the liver and kidney. It is often confused with Cyathula officinalis roots (CO), which is used to promote blood circulation. This study aimed to characterize cysteine-rich peptides from these two species, and construct a rapid and accurate classification model to differentiate them using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) coupling with multivariate analyses. Aranthide (aB1) of 3417.96 Da and cyathide (cO1) of 3472.46 Da were isolated from AB and CO, respectively. Mass shift experiment showed that both aB1 and cO1 contain 6 cysteine residues. The primary sequence of aB1 has been elucidated by de novo sequencing. Four MALDI-TOF MS-based multivariate classification methods were constructed and compared with that of ultra-performance liquid chromatography (UPLC). Results showed the classification methods from MALDI-TOF MS are comparable to that from UPLC. For both data matrices, k-nearest neighbours and partial least square-discriminant analysis provided the best classification accuracy. Classification and regression tree exhibited moderate identification power while potential function was regarded to have the least preferable classification capacity. In conclusion, MALDI-TOF MS coupled with multivariate analysis is a promising technique in discriminating AB and CO.
author2 James P Tam
author_facet James P Tam
Yap, Keni
format Final Year Project
author Yap, Keni
author_sort Yap, Keni
title Differentiation of achyranthes bidentata and cyathula officinalis using peptidomic fingerprinting with multivariate analyses
title_short Differentiation of achyranthes bidentata and cyathula officinalis using peptidomic fingerprinting with multivariate analyses
title_full Differentiation of achyranthes bidentata and cyathula officinalis using peptidomic fingerprinting with multivariate analyses
title_fullStr Differentiation of achyranthes bidentata and cyathula officinalis using peptidomic fingerprinting with multivariate analyses
title_full_unstemmed Differentiation of achyranthes bidentata and cyathula officinalis using peptidomic fingerprinting with multivariate analyses
title_sort differentiation of achyranthes bidentata and cyathula officinalis using peptidomic fingerprinting with multivariate analyses
publisher Nanyang Technological University
publishDate 2018
url http://hdl.handle.net/10356/74167
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