蛋白质组学
定量蛋白质组学
蛋白质组
生物
计算生物学
酶
无标记量化
化学
细胞色素P450
鸟枪蛋白质组学
分子生物学
生物化学
细胞培养中氨基酸的稳定同位素标记
蛋白质-蛋白质相互作用
串联质量标签
生物途径
生物信息学
作者
Dilip Kumar Singh,Deepak Ahire,Robert S. Jones,Ryota Kikuchi,Bin Ma,Yu Tian,Ting Wang,Faizan Zubair,Scott Heyward,S. Cyrus Khojasteh,Bernard P. Murray,Bill J. Smith,David M. Stresser,Mitchell E. Taub,Michael Zientek,Bhagwat Prasad
标识
DOI:10.1021/acs.jproteome.5c00455
摘要
While cytochrome P450 enzymes and UDP-glucuronosyltransferases play predominant roles in drug metabolism, hydrolases are emerging as key players in the metabolism of both small molecules and antibody-drug conjugates or peptide–oligonucleotide conjugates. Despite their importance, the protein levels of hydrolases across tissues and their inter-individual variability remain poorly understood. Although targeted proteomics can provide high selectivity and precision in quantifying small numbers of proteins, total protein approach (TPA)-based proteomics is emerging as a superior approach for multiplexed quantification of proteins. We performed a head-to-head comparison of targeted proteomics and TPA-based proteomics for quantifying 12 clinically relevant hydrolases in human liver and intestinal S9 fractions (N = 5 each). TPA-based global proteomics offered higher precision (coefficient of variation <20%), comparable sensitivity, along with its inherent advantage of a greater protein coverage than targeted proteomics. TPA data revealed the following order of protein abundance for target proteins: CES1> EPHX1 > CES2 > BPHL > PON3 > PON1 ∼ AADAC > CTSA > DPP4 in the liver and CES2 > ADA > DPEP1 ∼ AADAC ∼ EPHX1 > ALPI > DPP4 > CTSA > BPHL ∼ CES1 in the intestine. This study highlights the utility of TPA-based global proteomics for characterizing differential tissue abundance of hydrolases and their inter-individual variability.
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