Literature DB >> 26703953

Biomarker discovery in mass spectrometry-based urinary proteomics.

Samuel Thomas1, Ling Hao2, William A Ricke1,3, Lingjun Li1,2,4.   

Abstract

Urinary proteomics has become one of the most attractive topics in disease biomarker discovery. MS-based proteomic analysis has advanced continuously and emerged as a prominent tool in the field of clinical bioanalysis. However, only few protein biomarkers have made their way to validation and clinical practice. Biomarker discovery is challenged by many clinical and analytical factors including, but not limited to, the complexity of urine and the wide dynamic range of endogenous proteins in the sample. This article highlights promising technologies and strategies in the MS-based biomarker discovery process, including study design, sample preparation, protein quantification, instrumental platforms, and bioinformatics. Different proteomics approaches are discussed, and progresses in maximizing urinary proteome coverage and standardization are emphasized in this review. MS-based urinary proteomics has great potential in the development of noninvasive diagnostic assays in the future, which will require collaborative efforts between analytical scientists, systems biologists, and clinicians.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Biomarker; Mass spectrometry; Proteomics; Urine

Mesh:

Substances:

Year:  2016        PMID: 26703953      PMCID: PMC4888976          DOI: 10.1002/prca.201500102

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  133 in total

1.  Exploring the hidden human urinary proteome via ligand library beads.

Authors:  Annalisa Castagna; Daniela Cecconi; Lau Sennels; Juri Rappsilber; Luc Guerrier; Frederic Fortis; Egisto Boschetti; Lee Lomas; Pier Giorgio Righetti
Journal:  J Proteome Res       Date:  2005 Nov-Dec       Impact factor: 4.466

Review 2.  Protein biomarker discovery and validation: the long and uncertain path to clinical utility.

Authors:  Nader Rifai; Michael A Gillette; Steven A Carr
Journal:  Nat Biotechnol       Date:  2006-08       Impact factor: 54.908

Review 3.  Six decades searching for meaning in the proteome.

Authors:  Leigh Anderson
Journal:  J Proteomics       Date:  2014-03-16       Impact factor: 4.044

4.  A pipeline that integrates the discovery and verification of plasma protein biomarkers reveals candidate markers for cardiovascular disease.

Authors:  Terri A Addona; Xu Shi; Hasmik Keshishian; D R Mani; Michael Burgess; Michael A Gillette; Karl R Clauser; Dongxiao Shen; Gregory D Lewis; Laurie A Farrell; Michael A Fifer; Marc S Sabatine; Robert E Gerszten; Steven A Carr
Journal:  Nat Biotechnol       Date:  2011-06-19       Impact factor: 54.908

5.  Novel isotopic N,N-dimethyl leucine (iDiLeu) reagents enable absolute quantification of peptides and proteins using a standard curve approach.

Authors:  Tyler Greer; Christopher B Lietz; Feng Xiang; Lingjun Li
Journal:  J Am Soc Mass Spectrom       Date:  2014-11-07       Impact factor: 3.109

Review 6.  Microproteomics: analysis of protein diversity in small samples.

Authors:  Howard B Gutstein; Jeffrey S Morris; Suresh P Annangudi; Jonathan V Sweedler
Journal:  Mass Spectrom Rev       Date:  2008 Jul-Aug       Impact factor: 10.946

7.  Neutron-encoded mass signatures for multiplexed proteome quantification.

Authors:  Alexander S Hebert; Anna E Merrill; Derek J Bailey; Amelia J Still; Michael S Westphall; Eric R Strieter; David J Pagliarini; Joshua J Coon
Journal:  Nat Methods       Date:  2013-02-24       Impact factor: 28.547

8.  Mechanisms of glomerular albumin filtration and tubular reabsorption.

Authors:  Akihiro Tojo; Satoshi Kinugasa
Journal:  Int J Nephrol       Date:  2012-05-20

9.  Combining amine metabolomics and quantitative proteomics of cancer cells using derivatization with isobaric tags.

Authors:  J Patrick Murphy; Robert A Everley; Jonathan L Coloff; Steven P Gygi
Journal:  Anal Chem       Date:  2014-03-20       Impact factor: 6.986

10.  CKD273, a new proteomics classifier assessing CKD and its prognosis.

Authors:  Ángel Argilés; Justyna Siwy; Flore Duranton; Nathalie Gayrard; Mohammed Dakna; Ulrika Lundin; Lourdes Osaba; Christian Delles; Georges Mourad; Klaus M Weinberger; Harald Mischak
Journal:  PLoS One       Date:  2013-05-14       Impact factor: 3.240

View more
  37 in total

1.  Important Issues in Planning a Proteomics Experiment: Statistical Considerations of Quantitative Proteomic Data.

Authors:  Karin Schork; Katharina Podwojski; Michael Turewicz; Christian Stephan; Martin Eisenacher
Journal:  Methods Mol Biol       Date:  2021

2.  Simple Tip-Based Sample Processing Method for Urinary Proteomic Analysis.

Authors:  David J Clark; Yingwei Hu; Michael Schnaubelt; Yi Fu; Sean Ponce; Shao-Yung Chen; Yangying Zhou; Punit Shah; Hui Zhang
Journal:  Anal Chem       Date:  2019-04-08       Impact factor: 6.986

Review 3.  The Urothelium: Life in a Liquid Environment.

Authors:  Marianela G Dalghi; Nicolas Montalbetti; Marcelo D Carattino; Gerard Apodaca
Journal:  Physiol Rev       Date:  2020-03-19       Impact factor: 37.312

4.  Spatiotemporal Proteomics Reveals the Molecular Consequences of Hormone Treatment in a Mouse Model of Lower Urinary Tract Dysfunction.

Authors:  Samuel Thomas; Ling Hao; Kellen DeLaney; Dalton McLean; Laura Steinke; Paul C Marker; Chad M Vezina; Lingjun Li; William A Ricke
Journal:  J Proteome Res       Date:  2020-03-16       Impact factor: 4.466

Review 5.  Proteomic profiling of urine: implications for lupus nephritis.

Authors:  Najla Aljaberi; Michael Bennett; Hermine I Brunner; Prasad Devarajan
Journal:  Expert Rev Proteomics       Date:  2019-03-18       Impact factor: 3.940

6.  Urinary Lipidomics: evidence for multiple sources and sexual dimorphism in healthy individuals.

Authors:  J Graessler; C S Mehnert; K-M Schulte; S Bergmann; S Strauss; T D Bornstein; J Licinio; M-L Wong; A L Birkenfeld; S R Bornstein
Journal:  Pharmacogenomics J       Date:  2017-06-13       Impact factor: 3.550

7.  Comprehensive urinary metabolomic characterization of a genetically induced mouse model of prostatic inflammation.

Authors:  Ling Hao; Yatao Shi; Samuel Thomas; Chad M Vezina; Sagar Bajpai; Arya Ashok; Charles J Bieberich; William A Ricke; Lingjun Li
Journal:  Int J Mass Spectrom       Date:  2018-09-22       Impact factor: 1.986

8.  Quantitative proteomic analysis of a genetically induced prostate inflammation mouse model via custom 4-plex DiLeu isobaric labeling.

Authors:  Ling Hao; Samuel Thomas; Tyler Greer; Chad M Vezina; Sagar Bajpai; Arya Ashok; Angelo M De Marzo; Charles J Bieberich; Lingjun Li; William A Ricke
Journal:  Am J Physiol Renal Physiol       Date:  2019-04-17

9.  Metandem: An online software tool for mass spectrometry-based isobaric labeling metabolomics.

Authors:  Ling Hao; Yuerong Zhu; Pingli Wei; Jillian Johnson; Amanda Buchberger; Dustin Frost; W John Kao; Lingjun Li
Journal:  Anal Chim Acta       Date:  2019-08-21       Impact factor: 6.558

10.  Urinary Metabolomic and Proteomic Analyses in a Mouse Model of Prostatic Inflammation.

Authors:  Pingli Wei; Ling Hao; Fengfei Ma; Qing Yu; Amanda Rae Buchberger; Sanghee Lee; Wade Bushman; Lingjun Li
Journal:  Urine (Amst)       Date:  2020-05-27
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.