Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12494/41678
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Title: Quantitative profiling of the UGT transcriptome in human drug-metabolizing tissues.
Author: Tourancheau, A
Rouleau, M
Guauque Olarte, Sandra Milena
Villeneuve, L
Gilbert, I
Droit, A
Guillemette, C
Email autor: sandra.guauque@campusucc.edu.co
Issue Date: 2018
Keywords: glucuronosyltransferase
proteome
transcriptome
drug
glucuronosyltransferase
transcriptome
UGT1A1 enzyme
UGT2A1 protein
human
alternative RNA splicing
Article
carcinogenesis
controlled study
drug clearance
drug metabolism
drug response
female
gene
gene expression profiling
gene expression regulation
genetic variability
human
human tissue
interindividual variability
male
priority journal
RNA sequence
UGT gene
UGT1 gene
UGT2 gene
drug effect
genetics
metabolic clearance rate
metabolism
pharmacogenetic variant
physiology
procedures
tissue distribution
Gene Expression Profiling
Glucuronosyltransferase
Humans
Metabolic Clearance Rate
Pharmaceutical Preparations
Pharmacogenomic Variants
Tissue Distribution
Transcriptome
Abstract: Alternative splicing as a mean to control gene expression and diversify function is suspected to considerably influence drug response and clearance. We report the quantitative expression profiles of the human UGT genes including alternatively spliced variants not previously annotated established by deep RNA-sequencing in tissues of pharmacological importance. We reveal a comprehensive quantification of the alternative UGT transcriptome that differ across tissues and among individuals. Alternative transcripts that comprise novel in-frame sequences associated or not with truncations of the 5'- and/or 3'- termini, significantly contribute to the total expression levels of each UGT1 and UGT2 gene averaging 21% in normal tissues, with expression of UGT2 variants surpassing those of UGT1. Quantitative data expose preferential tissue expression patterns and remodeling in favor of alternative variants upon tumorigenesis. These complex alternative splicing programs have the strong potential to contribute to interindividual variability in drug metabolism in addition to diversify the UGT proteome.
Type: Artículo
Citation: Tourancheau A,Rouleau M,Guauque S,Villeneuve L,Gilbert I,Droit A,Guillemette C. Quantitative profiling of the UGT transcriptome in human drug-metabolizing tissues. PHARMACOGENOMICS JOURNAL. 2018. 18. (2):p. 251-261. .
Other Identifiers: https://doi.org/10.14349/rlp.2019.v51.n3.1
Appears in Collections:Artículos Científicos

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