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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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F1000Research
2017
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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. |
format | Online Article Text |
id | pubmed-5414814 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | F1000Research |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT massiminoluca insilicogeneexpressionprofilingincannabissativa |