Literature DB >> 33097418

Quantitative and targeted proteomics-based identification and validation of drug efficacy biomarkers.

Takeshi Masuda1, Ayano Mori2, Shingo Ito3, Sumio Ohtsuki4.   

Abstract

Proteomics refers to the large-scale study of proteins, providing comprehensive and quantitative information on proteins in tissue, blood, and cell samples. In many studies, proteomics utilizes liquid chromatography-mass spectrometry. Proteomics has developed from a qualitative methodology of protein identification to a quantitative methodology for comparing protein expression, and it is currently classified into two distinct methodologies: quantitative and targeted proteomics. Quantitative proteomics comprehensively identifies proteins in samples, providing quantitative information on large-scale comparative profiles of protein expression. Targeted proteomics simultaneously quantifies only target proteins with high sensitivity and specificity. Therefore, in biomarker research, quantitative proteomics is used for the identification of biomarker candidates, and targeted proteomics is used for the validation of biomarkers. Understanding the specific characteristics of each method is important for conducting appropriate proteomics studies. In this review, we introduced the different characteristics and applications of quantitative and targeted proteomics, and then discussed the results of our recent proteomics studies that focused on the identification and validation of biomarkers of drug efficacy. These findings may enable us to predict the outcomes of cancer therapy and drug-drug interactions with antibiotics through changes in the intestinal microbiome.
Copyright © 2020 The Japanese Society for the Study of Xenobiotics. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biomarker; Cancer; Intestinal microbiome; Personalized medicine; Protein quantification; Quantitative proteomics; Targeted proteomics

Year:  2020        PMID: 33097418     DOI: 10.1016/j.dmpk.2020.09.006

Source DB:  PubMed          Journal:  Drug Metab Pharmacokinet        ISSN: 1347-4367            Impact factor:   3.614


  5 in total

1.  Effect of Insulin Receptor-Knockdown on the Expression Levels of Blood-Brain Barrier Functional Proteins in Human Brain Microvascular Endothelial Cells.

Authors:  Hinako Nagano; Shingo Ito; Takeshi Masuda; Sumio Ohtsuki
Journal:  Pharm Res       Date:  2021-11-22       Impact factor: 4.200

2.  Human Hepatic Transporter Signature Peptides for Quantitative Targeted Absolute Proteomics: Selection, Digestion Efficiency, and Peptide Stability.

Authors:  Ayano Mori; Takeshi Masuda; Shingo Ito; Sumio Ohtsuki
Journal:  Pharm Res       Date:  2022-09-21       Impact factor: 4.580

3.  Integrative omics - An arsenal for drug discovery.

Authors:  Rahul Soloman Singh; Vani Angra; Ashutosh Singh; Gladson David Masih; Bikash Medhi
Journal:  Indian J Pharmacol       Date:  2022 Jan-Feb       Impact factor: 2.833

Review 4.  Bone Phenotyping Approaches in Human, Mice and Zebrafish - Expert Overview of the EU Cost Action GEMSTONE ("GEnomics of MusculoSkeletal traits TranslatiOnal NEtwork").

Authors:  Ines Foessl; J H Duncan Bassett; Åshild Bjørnerem; Björn Busse; Ângelo Calado; Pascale Chavassieux; Maria Christou; Eleni Douni; Imke A K Fiedler; João Eurico Fonseca; Eva Hassler; Wolfgang Högler; Erika Kague; David Karasik; Patricia Khashayar; Bente L Langdahl; Victoria D Leitch; Philippe Lopes; Georgios Markozannes; Fiona E A McGuigan; Carolina Medina-Gomez; Evangelia Ntzani; Ling Oei; Claes Ohlsson; Pawel Szulc; Jonathan H Tobias; Katerina Trajanoska; Şansın Tuzun; Amina Valjevac; Bert van Rietbergen; Graham R Williams; Tatjana Zekic; Fernando Rivadeneira; Barbara Obermayer-Pietsch
Journal:  Front Endocrinol (Lausanne)       Date:  2021-12-01       Impact factor: 5.555

5.  Proteome of Stored RBC Membrane and Vesicles from Heterozygous Beta Thalassemia Donors.

Authors:  Vassilis L Tzounakas; Alkmini T Anastasiadi; Monika Dzieciatkowska; Dimitrios G Karadimas; Konstantinos Stamoulis; Issidora S Papassideri; Kirk C Hansen; Angelo D'Alessandro; Anastasios G Kriebardis; Marianna H Antonelou
Journal:  Int J Mol Sci       Date:  2021-03-25       Impact factor: 5.923

  5 in total

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