Cargando…
VARIDT 1.0: variability of drug transporter database
The absorption, distribution and excretion of drugs are largely determined by their transporters (DTs), the variability of which has thus attracted considerable attention. There are three aspects of variability: epigenetic regulation and genetic polymorphism, species/tissue/disease-specific DT abund...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943059/ https://www.ncbi.nlm.nih.gov/pubmed/31495872 http://dx.doi.org/10.1093/nar/gkz779 |
_version_ | 1783484810477436928 |
---|---|
author | Yin, Jiayi Sun, Wen Li, Fengcheng Hong, Jiajun Li, Xiaoxu Zhou, Ying Lu, Yinjing Liu, Mengzhi Zhang, Xue Chen, Na Jin, Xiuping Xue, Jia Zeng, Su Yu, Lushan Zhu, Feng |
author_facet | Yin, Jiayi Sun, Wen Li, Fengcheng Hong, Jiajun Li, Xiaoxu Zhou, Ying Lu, Yinjing Liu, Mengzhi Zhang, Xue Chen, Na Jin, Xiuping Xue, Jia Zeng, Su Yu, Lushan Zhu, Feng |
author_sort | Yin, Jiayi |
collection | PubMed |
description | The absorption, distribution and excretion of drugs are largely determined by their transporters (DTs), the variability of which has thus attracted considerable attention. There are three aspects of variability: epigenetic regulation and genetic polymorphism, species/tissue/disease-specific DT abundances, and exogenous factors modulating DT activity. The variability data of each aspect are essential for clinical study, and a collective consideration among multiple aspects becomes crucial in precision medicine. However, no database is constructed to provide the comprehensive data of all aspects of DT variability. Herein, the Variability of Drug Transporter Database (VARIDT) was introduced to provide such data. First, 177 and 146 DTs were confirmed, for the first time, by the transporting drugs approved and in clinical/preclinical, respectively. Second, for the confirmed DTs, VARIDT comprehensively collected all aspects of their variability (23 947 DNA methylations, 7317 noncoding RNA/histone regulations, 1278 genetic polymorphisms, differential abundance profiles of 257 DTs in 21 781 patients/healthy individuals, expression of 245 DTs in 67 tissues of human/model organism, 1225 exogenous factors altering the activity of 148 DTs), which allowed mutual connection between any aspects. Due to huge amount of accumulated data, VARIDT made it possible to generalize characteristics to reveal disease etiology and optimize clinical treatment, and is freely accessible at: https://db.idrblab.org/varidt/ and http://varidt.idrblab.net/. |
format | Online Article Text |
id | pubmed-6943059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-69430592020-01-08 VARIDT 1.0: variability of drug transporter database Yin, Jiayi Sun, Wen Li, Fengcheng Hong, Jiajun Li, Xiaoxu Zhou, Ying Lu, Yinjing Liu, Mengzhi Zhang, Xue Chen, Na Jin, Xiuping Xue, Jia Zeng, Su Yu, Lushan Zhu, Feng Nucleic Acids Res Database Issue The absorption, distribution and excretion of drugs are largely determined by their transporters (DTs), the variability of which has thus attracted considerable attention. There are three aspects of variability: epigenetic regulation and genetic polymorphism, species/tissue/disease-specific DT abundances, and exogenous factors modulating DT activity. The variability data of each aspect are essential for clinical study, and a collective consideration among multiple aspects becomes crucial in precision medicine. However, no database is constructed to provide the comprehensive data of all aspects of DT variability. Herein, the Variability of Drug Transporter Database (VARIDT) was introduced to provide such data. First, 177 and 146 DTs were confirmed, for the first time, by the transporting drugs approved and in clinical/preclinical, respectively. Second, for the confirmed DTs, VARIDT comprehensively collected all aspects of their variability (23 947 DNA methylations, 7317 noncoding RNA/histone regulations, 1278 genetic polymorphisms, differential abundance profiles of 257 DTs in 21 781 patients/healthy individuals, expression of 245 DTs in 67 tissues of human/model organism, 1225 exogenous factors altering the activity of 148 DTs), which allowed mutual connection between any aspects. Due to huge amount of accumulated data, VARIDT made it possible to generalize characteristics to reveal disease etiology and optimize clinical treatment, and is freely accessible at: https://db.idrblab.org/varidt/ and http://varidt.idrblab.net/. Oxford University Press 2020-01-08 2019-09-09 /pmc/articles/PMC6943059/ /pubmed/31495872 http://dx.doi.org/10.1093/nar/gkz779 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Yin, Jiayi Sun, Wen Li, Fengcheng Hong, Jiajun Li, Xiaoxu Zhou, Ying Lu, Yinjing Liu, Mengzhi Zhang, Xue Chen, Na Jin, Xiuping Xue, Jia Zeng, Su Yu, Lushan Zhu, Feng VARIDT 1.0: variability of drug transporter database |
title | VARIDT 1.0: variability of drug transporter database |
title_full | VARIDT 1.0: variability of drug transporter database |
title_fullStr | VARIDT 1.0: variability of drug transporter database |
title_full_unstemmed | VARIDT 1.0: variability of drug transporter database |
title_short | VARIDT 1.0: variability of drug transporter database |
title_sort | varidt 1.0: variability of drug transporter database |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943059/ https://www.ncbi.nlm.nih.gov/pubmed/31495872 http://dx.doi.org/10.1093/nar/gkz779 |
work_keys_str_mv | AT yinjiayi varidt10variabilityofdrugtransporterdatabase AT sunwen varidt10variabilityofdrugtransporterdatabase AT lifengcheng varidt10variabilityofdrugtransporterdatabase AT hongjiajun varidt10variabilityofdrugtransporterdatabase AT lixiaoxu varidt10variabilityofdrugtransporterdatabase AT zhouying varidt10variabilityofdrugtransporterdatabase AT luyinjing varidt10variabilityofdrugtransporterdatabase AT liumengzhi varidt10variabilityofdrugtransporterdatabase AT zhangxue varidt10variabilityofdrugtransporterdatabase AT chenna varidt10variabilityofdrugtransporterdatabase AT jinxiuping varidt10variabilityofdrugtransporterdatabase AT xuejia varidt10variabilityofdrugtransporterdatabase AT zengsu varidt10variabilityofdrugtransporterdatabase AT yulushan varidt10variabilityofdrugtransporterdatabase AT zhufeng varidt10variabilityofdrugtransporterdatabase |