Literature DB >> 18069451

Proteomics: clinical applications.

Delfina C Dominguez1, Rosana Lopes, M Lorraine Torres.   

Abstract

The word proteomics was coined in 1997 to describe the changes in all proteins expressed by a genome. Several sophisticated techniques including two-dimensional electrophoresis, imaging, mass spectrometry, and bioinformatics are used in proteomics to identify, quantify, and characterize proteins. Clinical proteomics is the application ofproteomics techniques to the medical field. The main aim of this methodology is to identify proteins involved in pathological processes and to understand how illness can lead to altered protein expression. Clinical proteomics offers the opportunity and the potential to develop new diagnostic and prognostic tests, to identify new therapeutic targets, and eventually to allow the design of individualized patient treatment. Here we present an overview of proteomics applications to the study of disease and its potential to improve diagnosis and prognosis.

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Year:  2007        PMID: 18069451

Source DB:  PubMed          Journal:  Clin Lab Sci        ISSN: 0894-959X


  4 in total

1.  A single lysis solution for the analysis of tissue samples by different proteomic technologies.

Authors:  Pavel Gromov; Julio E Celis; Irina Gromova; Fritz Rank; Vera Timmermans-Wielenga; José M A Moreira
Journal:  Mol Oncol       Date:  2008-10-02       Impact factor: 6.603

2.  Single-Cell Classification Using Mass Spectrometry through Interpretable Machine Learning.

Authors:  Yuxuan Richard Xie; Daniel C Castro; Sara E Bell; Stanislav S Rubakhin; Jonathan V Sweedler
Journal:  Anal Chem       Date:  2020-06-25       Impact factor: 6.986

Review 3.  The role of proteomics in defining the human embryonic secretome.

Authors:  M G Katz-Jaffe; S McReynolds; D K Gardner; W B Schoolcraft
Journal:  Mol Hum Reprod       Date:  2009-02-17       Impact factor: 4.025

Review 4.  In vitro toxicity model: Upgrades to bridge the gap between preclinical and clinical research.

Authors:  Eneko Madorran; Andraž Stožer; Sebastjan Bevc; Uroš Maver
Journal:  Bosn J Basic Med Sci       Date:  2020-05-01       Impact factor: 3.363

  4 in total

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