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In silico gene expression profiling in Cannabis sativa

The cannabis plant and its active ingredients (i.e., cannabinoids and terpenoids) have been socially stigmatized for half a century. Luckily, with more than 430,000 published scientific papers and about 600 ongoing and completed clinical trials, nowadays cannabis is employed for the treatment of man...

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Autor principal: Massimino, Luca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5414814/
https://www.ncbi.nlm.nih.gov/pubmed/28529696
http://dx.doi.org/10.12688/f1000research.10631.1
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author Massimino, Luca
author_facet Massimino, Luca
author_sort Massimino, Luca
collection PubMed
description The cannabis plant and its active ingredients (i.e., cannabinoids and terpenoids) have been socially stigmatized for half a century. Luckily, with more than 430,000 published scientific papers and about 600 ongoing and completed clinical trials, nowadays cannabis is employed for the treatment of many different medical conditions. Nevertheless, even if a large amount of high-throughput functional genomic data exists, most researchers feature a strong background in molecular biology but lack advanced bioinformatics skills. In this work, publicly available gene expression datasets have been analyzed giving rise to a total of 40,224 gene expression profiles taken from cannabis plant tissue at different developmental stages. The resource presented here will provide researchers with a starting point for future investigations with Cannabis sativa.
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spelling pubmed-54148142017-05-18 In silico gene expression profiling in Cannabis sativa Massimino, Luca F1000Res Data Note The cannabis plant and its active ingredients (i.e., cannabinoids and terpenoids) have been socially stigmatized for half a century. Luckily, with more than 430,000 published scientific papers and about 600 ongoing and completed clinical trials, nowadays cannabis is employed for the treatment of many different medical conditions. Nevertheless, even if a large amount of high-throughput functional genomic data exists, most researchers feature a strong background in molecular biology but lack advanced bioinformatics skills. In this work, publicly available gene expression datasets have been analyzed giving rise to a total of 40,224 gene expression profiles taken from cannabis plant tissue at different developmental stages. The resource presented here will provide researchers with a starting point for future investigations with Cannabis sativa. F1000Research 2017-01-23 /pmc/articles/PMC5414814/ /pubmed/28529696 http://dx.doi.org/10.12688/f1000research.10631.1 Text en Copyright: © 2017 Massimino L http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Data Note
Massimino, Luca
In silico gene expression profiling in Cannabis sativa
title In silico gene expression profiling in Cannabis sativa
title_full In silico gene expression profiling in Cannabis sativa
title_fullStr In silico gene expression profiling in Cannabis sativa
title_full_unstemmed In silico gene expression profiling in Cannabis sativa
title_short In silico gene expression profiling in Cannabis sativa
title_sort in silico gene expression profiling in cannabis sativa
topic Data Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5414814/
https://www.ncbi.nlm.nih.gov/pubmed/28529696
http://dx.doi.org/10.12688/f1000research.10631.1
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