Literature DB >> 27302376

Advances in targeted proteomics and applications to biomedical research.

Tujin Shi1, Ehwang Song1, Song Nie1, Karin D Rodland1, Tao Liu1, Wei-Jun Qian1, Richard D Smith1.   

Abstract

Targeted proteomics technique has emerged as a powerful protein quantification tool in systems biology, biomedical research, and increasing for clinical applications. The most widely used targeted proteomics approach, selected reaction monitoring (SRM), also known as multiple reaction monitoring (MRM), can be used for quantification of cellular signaling networks and preclinical verification of candidate protein biomarkers. As an extension to our previous review on advances in SRM sensitivity (Shi et al., Proteomics, 12, 1074-1092, 2012) herein we review recent advances in the method and technology for further enhancing SRM sensitivity (from 2012 to present), and highlighting its broad biomedical applications in human bodily fluids, tissue and cell lines. Furthermore, we also review two recently introduced targeted proteomics approaches, parallel reaction monitoring (PRM) and data-independent acquisition (DIA) with targeted data extraction on fast scanning high-resolution accurate-mass (HR/AM) instruments. Such HR/AM targeted quantification with monitoring all target product ions addresses SRM limitations effectively in specificity and multiplexing; whereas when compared to SRM, PRM and DIA are still in the infancy with a limited number of applications. Thus, for HR/AM targeted quantification we focus our discussion on method development, data processing and analysis, and its advantages and limitations in targeted proteomics. Finally, general perspectives on the potential of achieving both high sensitivity and high sample throughput for large-scale quantification of hundreds of target proteins are discussed.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Biomarker; DIA; PRISM; PRM; SRM; Signaling pathway; Technology

Mesh:

Substances:

Year:  2016        PMID: 27302376      PMCID: PMC5051956          DOI: 10.1002/pmic.201500449

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  198 in total

1.  Interlaboratory evaluation of automated, multiplexed peptide immunoaffinity enrichment coupled to multiple reaction monitoring mass spectrometry for quantifying proteins in plasma.

Authors:  Eric Kuhn; Jeffrey R Whiteaker; D R Mani; Angela M Jackson; Lei Zhao; Matthew E Pope; Derek Smith; Keith D Rivera; N Leigh Anderson; Steven J Skates; Terry W Pearson; Amanda G Paulovich; Steven A Carr
Journal:  Mol Cell Proteomics       Date:  2011-12-22       Impact factor: 5.911

2.  Global kinetic analysis of proteolysis via quantitative targeted proteomics.

Authors:  Nicholas J Agard; Sami Mahrus; Jonathan C Trinidad; Aenoch Lynn; Alma L Burlingame; James A Wells
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-23       Impact factor: 11.205

3.  Database searching and accounting of multiplexed precursor and product ion spectra from the data independent analysis of simple and complex peptide mixtures.

Authors:  Guo-Zhong Li; Johannes P C Vissers; Jeffrey C Silva; Dan Golick; Marc V Gorenstein; Scott J Geromanos
Journal:  Proteomics       Date:  2009-03       Impact factor: 3.984

4.  The parallel reaction monitoring method contributes to a highly sensitive polyubiquitin chain quantification.

Authors:  Hikaru Tsuchiya; Keiji Tanaka; Yasushi Saeki
Journal:  Biochem Biophys Res Commun       Date:  2013-05-31       Impact factor: 3.575

5.  Quantitative proteomics using the high resolution accurate mass capabilities of the quadrupole-orbitrap mass spectrometer.

Authors:  Sebastien Gallien; Bruno Domon
Journal:  Bioanalysis       Date:  2014-08       Impact factor: 2.681

6.  Antibody-free, targeted mass-spectrometric approach for quantification of proteins at low picogram per milliliter levels in human plasma/serum.

Authors:  Tujin Shi; Thomas L Fillmore; Xuefei Sun; Rui Zhao; Athena A Schepmoes; Mahmud Hossain; Fang Xie; Si Wu; Jong-Seo Kim; Nathan Jones; Ronald J Moore; Ljiljana Pasa-Tolić; Jacob Kagan; Karin D Rodland; Tao Liu; Keqi Tang; David G Camp; Richard D Smith; Wei-Jun Qian
Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-04       Impact factor: 11.205

7.  Targeted proteomics analysis of protein degradation in plant signaling on an LTQ-Orbitrap mass spectrometer.

Authors:  Petra Majovsky; Christin Naumann; Chil-Woo Lee; Ines Lassowskat; Marco Trujillo; Nico Dissmeyer; Wolfgang Hoehenwarter
Journal:  J Proteome Res       Date:  2014-09-03       Impact factor: 4.466

8.  Accurate quantification of cardiovascular biomarkers in serum using Protein Standard Absolute Quantification (PSAQ™) and selected reaction monitoring.

Authors:  Céline Huillet; Annie Adrait; Dorothée Lebert; Guillaume Picard; Mathieu Trauchessec; Mathilde Louwagie; Alain Dupuis; Luc Hittinger; Bijan Ghaleh; Philippe Le Corvoisier; Michel Jaquinod; Jérôme Garin; Christophe Bruley; Virginie Brun
Journal:  Mol Cell Proteomics       Date:  2011-11-11       Impact factor: 5.911

9.  Large-Scale Interlaboratory Study to Develop, Analytically Validate and Apply Highly Multiplexed, Quantitative Peptide Assays to Measure Cancer-Relevant Proteins in Plasma.

Authors:  Susan E Abbatiello; Birgit Schilling; D R Mani; Lisa J Zimmerman; Steven C Hall; Brendan MacLean; Matthew Albertolle; Simon Allen; Michael Burgess; Michael P Cusack; Mousumi Gosh; Victoria Hedrick; Jason M Held; H Dorota Inerowicz; Angela Jackson; Hasmik Keshishian; Christopher R Kinsinger; John Lyssand; Lee Makowski; Mehdi Mesri; Henry Rodriguez; Paul Rudnick; Pawel Sadowski; Nell Sedransk; Kent Shaddox; Stephen J Skates; Eric Kuhn; Derek Smith; Jeffery R Whiteaker; Corbin Whitwell; Shucha Zhang; Christoph H Borchers; Susan J Fisher; Bradford W Gibson; Daniel C Liebler; Michael J MacCoss; Thomas A Neubert; Amanda G Paulovich; Fred E Regnier; Paul Tempst; Steven A Carr
Journal:  Mol Cell Proteomics       Date:  2015-02-18       Impact factor: 5.911

10.  Candidate List of yoUr Biomarker (CLUB): A Web-based Platform to Aid Cancer Biomarker Research.

Authors:  Bernett T K Lee; Lailing Liew; Jiahao Lim; Jonathan K L Tan; Tze Chuen Lee; Pardha S Veladandi; Yun Ping Lim; Hao Han; Gunaretnam Rajagopal; N Leigh Anderson
Journal:  Biomark Insights       Date:  2008-02-09
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  54 in total

1.  The role of proteomics in assessing beta-cell dysfunction and death in type 1 diabetes.

Authors:  Ernesto S Nakayasu; Wei-Jun Qian; Carmella Evans-Molina; Raghavendra G Mirmira; Decio L Eizirik; Thomas O Metz
Journal:  Expert Rev Proteomics       Date:  2019-06-24       Impact factor: 3.940

2.  Quantitative Proteomic Profiling of Cerebrospinal Fluid to Identify Candidate Biomarkers for Alzheimer's Disease.

Authors:  Gajanan Sathe; Chan Hyun Na; Santosh Renuse; Anil K Madugundu; Marilyn Albert; Abhay Moghekar; Akhilesh Pandey
Journal:  Proteomics Clin Appl       Date:  2019-01-25       Impact factor: 3.494

3.  Proteomics for cancer drug design.

Authors:  Amanda Haymond; Justin B Davis; Virginia Espina
Journal:  Expert Rev Proteomics       Date:  2019-08-04       Impact factor: 3.940

4.  Targeted Quantitative Proteomic Approach for High-Throughput Quantitative Profiling of Small GTPases in Brain Tissues of Alzheimer's Disease Patients.

Authors:  Ming Huang; Martin Darvas; C Dirk Keene; Yinsheng Wang
Journal:  Anal Chem       Date:  2019-09-10       Impact factor: 6.986

5.  Proteomic profiling of HIV-infected T-cells by SWATH mass spectrometry.

Authors:  Jason DeBoer; Melinda S Wojtkiewicz; Nicole Haverland; Yan Li; Emma Harwood; Emily Leshen; Joseph W George; Pawel Ciborowski; Michael Belshan
Journal:  Virology       Date:  2018-03       Impact factor: 3.616

6.  The power of proteomics to monitor senescence-associated secretory phenotypes and beyond: toward clinical applications.

Authors:  Nathan Basisty; Abhijit Kale; Sandip Patel; Judith Campisi; Birgit Schilling
Journal:  Expert Rev Proteomics       Date:  2020-05-19       Impact factor: 3.940

7.  High-Throughput Targeted Quantitative Analysis of the Interaction between HSP90 and Kinases.

Authors:  Weili Miao; Lin Li; Yinsheng Wang
Journal:  Anal Chem       Date:  2019-09-04       Impact factor: 6.986

Review 8.  Clinical potential of mass spectrometry-based proteogenomics.

Authors:  Bing Zhang; Jeffrey R Whiteaker; Andrew N Hoofnagle; Geoffrey S Baird; Karin D Rodland; Amanda G Paulovich
Journal:  Nat Rev Clin Oncol       Date:  2019-04       Impact factor: 66.675

Review 9.  Plasmodium Parasites Viewed through Proteomics.

Authors:  Kristian E Swearingen; Scott E Lindner
Journal:  Trends Parasitol       Date:  2018-08-23

Review 10.  Serum biomarkers for diagnosis and prediction of type 1 diabetes.

Authors:  Lian Yi; Adam C Swensen; Wei-Jun Qian
Journal:  Transl Res       Date:  2018-08-01       Impact factor: 7.012

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