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Proteomic analysis of the medicinal plant Artemisia annua: Data from leaf and trichome extracts
This article contains raw and processed data related to research published by Bryant et al.[1]. Data was obtained by MS-based proteomics, analysing trichome-enriched, trichome-depleted and whole leaf samples taken from the medicinal plant Artemisia annua and searching the acquired MS/MS data against...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4781977/ https://www.ncbi.nlm.nih.gov/pubmed/26977431 http://dx.doi.org/10.1016/j.dib.2016.02.038 |
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author | Bryant, Laura Patole, Chhaya Cramer, Rainer |
author_facet | Bryant, Laura Patole, Chhaya Cramer, Rainer |
author_sort | Bryant, Laura |
collection | PubMed |
description | This article contains raw and processed data related to research published by Bryant et al.[1]. Data was obtained by MS-based proteomics, analysing trichome-enriched, trichome-depleted and whole leaf samples taken from the medicinal plant Artemisia annua and searching the acquired MS/MS data against a recently published contig database [2] and other genomic and proteomic sequence databases for comparison. The processed data shows that an order-of-magnitude more proteins have been identified from trichome-enriched Artemisia annua samples in comparison to previously published data. Proteins known to have a role in the biosynthesis of artemisinin and other highly abundant proteins were found which imply additional enzymatically driven processes occurring within the trichomes that are significant for the biosynthesis of artemisinin. |
format | Online Article Text |
id | pubmed-4781977 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-47819772016-03-14 Proteomic analysis of the medicinal plant Artemisia annua: Data from leaf and trichome extracts Bryant, Laura Patole, Chhaya Cramer, Rainer Data Brief Data Article This article contains raw and processed data related to research published by Bryant et al.[1]. Data was obtained by MS-based proteomics, analysing trichome-enriched, trichome-depleted and whole leaf samples taken from the medicinal plant Artemisia annua and searching the acquired MS/MS data against a recently published contig database [2] and other genomic and proteomic sequence databases for comparison. The processed data shows that an order-of-magnitude more proteins have been identified from trichome-enriched Artemisia annua samples in comparison to previously published data. Proteins known to have a role in the biosynthesis of artemisinin and other highly abundant proteins were found which imply additional enzymatically driven processes occurring within the trichomes that are significant for the biosynthesis of artemisinin. Elsevier 2016-02-23 /pmc/articles/PMC4781977/ /pubmed/26977431 http://dx.doi.org/10.1016/j.dib.2016.02.038 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Bryant, Laura Patole, Chhaya Cramer, Rainer Proteomic analysis of the medicinal plant Artemisia annua: Data from leaf and trichome extracts |
title | Proteomic analysis of the medicinal plant Artemisia annua: Data from leaf and trichome extracts |
title_full | Proteomic analysis of the medicinal plant Artemisia annua: Data from leaf and trichome extracts |
title_fullStr | Proteomic analysis of the medicinal plant Artemisia annua: Data from leaf and trichome extracts |
title_full_unstemmed | Proteomic analysis of the medicinal plant Artemisia annua: Data from leaf and trichome extracts |
title_short | Proteomic analysis of the medicinal plant Artemisia annua: Data from leaf and trichome extracts |
title_sort | proteomic analysis of the medicinal plant artemisia annua: data from leaf and trichome extracts |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4781977/ https://www.ncbi.nlm.nih.gov/pubmed/26977431 http://dx.doi.org/10.1016/j.dib.2016.02.038 |
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