Advancing signaling networks through proteomics

Tina L. Tekirian, Stefani N. Thomas, Austin Yang

Research output: Contribution to journalArticle

Abstract

Healthful physiology can be distinguished from unhealthful physiology by focusing upon how a given signal transduction pathway is shifted as a function of disease. In order to distinguish between pathways that contribute to normal versus disease biology, it is necessary to identify components that comprise a protein module. The development of methods that target such differences is essential for the identification, development and validation of biomarkers that can improve the quality of diagnoses and treatment of disease. This review discusses the use of proteomic methods that integrate cell biology, mass spectrometry and bioinformatics, in relation to the analyses of protein signaling modules that are subject to differential phosphorylation. We examine how these methods can be used to distinguish abnormal from normal physiology.

Original languageEnglish (US)
Pages (from-to)573-583
Number of pages11
JournalExpert Review of Proteomics
Volume4
Issue number4
DOIs
StatePublished - Aug 2007
Externally publishedYes

Fingerprint

Physiology
Proteomics
Cytology
Signal transduction
Phosphorylation
Biomarkers
Bioinformatics
Computational Biology
Mass spectrometry
Cell Biology
Signal Transduction
Mass Spectrometry
Proteins
Therapeutics

Keywords

  • Affinity
  • Crosslinking
  • Phosphoproteomics
  • Protein signaling module
  • Purification
  • Quantitative mass spectrometry
  • Systems reconstruction

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics
  • Biotechnology

Cite this

Advancing signaling networks through proteomics. / Tekirian, Tina L.; Thomas, Stefani N.; Yang, Austin.

In: Expert Review of Proteomics, Vol. 4, No. 4, 08.2007, p. 573-583.

Research output: Contribution to journalArticle

Tekirian, Tina L. ; Thomas, Stefani N. ; Yang, Austin. / Advancing signaling networks through proteomics. In: Expert Review of Proteomics. 2007 ; Vol. 4, No. 4. pp. 573-583.
@article{8ec200c0340d4d16a5ce60c4f7ff9734,
title = "Advancing signaling networks through proteomics",
abstract = "Healthful physiology can be distinguished from unhealthful physiology by focusing upon how a given signal transduction pathway is shifted as a function of disease. In order to distinguish between pathways that contribute to normal versus disease biology, it is necessary to identify components that comprise a protein module. The development of methods that target such differences is essential for the identification, development and validation of biomarkers that can improve the quality of diagnoses and treatment of disease. This review discusses the use of proteomic methods that integrate cell biology, mass spectrometry and bioinformatics, in relation to the analyses of protein signaling modules that are subject to differential phosphorylation. We examine how these methods can be used to distinguish abnormal from normal physiology.",
keywords = "Affinity, Crosslinking, Phosphoproteomics, Protein signaling module, Purification, Quantitative mass spectrometry, Systems reconstruction",
author = "Tekirian, {Tina L.} and Thomas, {Stefani N.} and Austin Yang",
year = "2007",
month = "8",
doi = "10.1586/14789450.4.4.573",
language = "English (US)",
volume = "4",
pages = "573--583",
journal = "Expert Review of Proteomics",
issn = "1478-9450",
publisher = "Expert Reviews Ltd.",
number = "4",

}

TY - JOUR

T1 - Advancing signaling networks through proteomics

AU - Tekirian, Tina L.

AU - Thomas, Stefani N.

AU - Yang, Austin

PY - 2007/8

Y1 - 2007/8

N2 - Healthful physiology can be distinguished from unhealthful physiology by focusing upon how a given signal transduction pathway is shifted as a function of disease. In order to distinguish between pathways that contribute to normal versus disease biology, it is necessary to identify components that comprise a protein module. The development of methods that target such differences is essential for the identification, development and validation of biomarkers that can improve the quality of diagnoses and treatment of disease. This review discusses the use of proteomic methods that integrate cell biology, mass spectrometry and bioinformatics, in relation to the analyses of protein signaling modules that are subject to differential phosphorylation. We examine how these methods can be used to distinguish abnormal from normal physiology.

AB - Healthful physiology can be distinguished from unhealthful physiology by focusing upon how a given signal transduction pathway is shifted as a function of disease. In order to distinguish between pathways that contribute to normal versus disease biology, it is necessary to identify components that comprise a protein module. The development of methods that target such differences is essential for the identification, development and validation of biomarkers that can improve the quality of diagnoses and treatment of disease. This review discusses the use of proteomic methods that integrate cell biology, mass spectrometry and bioinformatics, in relation to the analyses of protein signaling modules that are subject to differential phosphorylation. We examine how these methods can be used to distinguish abnormal from normal physiology.

KW - Affinity

KW - Crosslinking

KW - Phosphoproteomics

KW - Protein signaling module

KW - Purification

KW - Quantitative mass spectrometry

KW - Systems reconstruction

UR - http://www.scopus.com/inward/record.url?scp=34548312349&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34548312349&partnerID=8YFLogxK

U2 - 10.1586/14789450.4.4.573

DO - 10.1586/14789450.4.4.573

M3 - Article

C2 - 17705714

AN - SCOPUS:34548312349

VL - 4

SP - 573

EP - 583

JO - Expert Review of Proteomics

JF - Expert Review of Proteomics

SN - 1478-9450

IS - 4

ER -