Literature DB >> 16000079

Population proteomics: addressing protein diversity in humans.

Dobrin Nedelkov1.   

Abstract

In the past several years, proteomics and its subdiscipline clinical proteomics have been engaged in the discovery of the next generation protein of biomarkers. As the effort and the intensive debate it has sparked continue, it is becoming apparent that a paradigm shift is needed in proteomics in order to truly comprehend the complexity of the human proteome and assess its subtle variations among individuals. This review introduces the concept of population proteomics as a future direction in proteomics research. Population proteomics is the study of protein diversity in human populations. High-throughput, top-down mass spectrometric approaches are employed to investigate, define and understand protein diversity and modulations across and within populations. Population proteomics is a discovery-oriented endeavor with a goal of establishing the incidence of protein structural variations and quantitative regulation of these modifications. Assessing human protein variations among and within populations is viewed as a paramount undertaking that can facilitate clinical proteomics' effort in discovery and validation of protein features that can be used as markers for early diagnosis of disease, monitoring of disease progression and assessment of therapy. This review outlines the growing need for analyzing individuals' proteomes and describes the approaches that are likely to be applied in such a population proteomics endeavor.

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Year:  2005        PMID: 16000079     DOI: 10.1586/14789450.2.3.315

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  7 in total

1.  Mass spectrometric immunoassay of intact insulin and related variants for population proteomics studies.

Authors:  Paul E Oran; Jason W Jarvis; Chad R Borges; Nisha D Sherma; Randall W Nelson
Journal:  Proteomics Clin Appl       Date:  2011-06-08       Impact factor: 3.494

2.  TagRecon: high-throughput mutation identification through sequence tagging.

Authors:  Surendra Dasari; Matthew C Chambers; Robbert J Slebos; Lisa J Zimmerman; Amy-Joan L Ham; David L Tabb
Journal:  J Proteome Res       Date:  2010-04-05       Impact factor: 4.466

3.  Statistical analysis of variation in the human plasma proteome.

Authors:  Todd H Corzett; Imola K Fodor; Megan W Choi; Vicki L Walsworth; Kenneth W Turteltaub; Sandra L McCutchen-Maloney; Brett A Chromy
Journal:  J Biomed Biotechnol       Date:  2010-01-14

4.  Rapid development of sensitive, high-throughput, quantitative and highly selective mass spectrometric targeted immunoassays for clinically important proteins in human plasma and serum.

Authors:  Bryan Krastins; Amol Prakash; David A Sarracino; Dobrin Nedelkov; Eric E Niederkofler; Urban A Kiernan; Randall Nelson; Maryann S Vogelsang; Gouri Vadali; Alejandra Garces; Jennifer N Sutton; Scott Peterman; Gregory Byram; Bruno Darbouret; Joëlle R Pérusse; Nabil G Seidah; Benoit Coulombe; Johan Gobom; Erik Portelius; Josef Pannee; Kaj Blennow; Vathany Kulasingam; Lewis Couchman; Caje Moniz; Mary F Lopez
Journal:  Clin Biochem       Date:  2013-01-08       Impact factor: 3.281

5.  Glycosylation status of vitamin D binding protein in cancer patients.

Authors:  Douglas S Rehder; Randall W Nelson; Chad R Borges
Journal:  Protein Sci       Date:  2009-10       Impact factor: 6.725

Review 6.  Mass Spectrometric Immunoassays in Characterization of Clinically Significant Proteoforms.

Authors:  Olgica Trenchevska; Randall W Nelson; Dobrin Nedelkov
Journal:  Proteomes       Date:  2016-03-17

7.  Genetic ancestry plays a central role in population pharmacogenomics.

Authors:  Hsin-Chou Yang; Chia-Wei Chen; Yu-Ting Lin; Shih-Kai Chu
Journal:  Commun Biol       Date:  2021-02-05
  7 in total

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