Literature DB >> 21136752

A better understanding of molecular mechanisms underlying human disease.

José Bermúdez-Crespo1, José Luis López.   

Abstract

This review summarises and discusses the degree to which proteomics is contributing to medical care, providing examples and signspots for future directions. Why do genomic approaches provide a limited view of gene expression? Because of the multifactorial nature of many diseases, proteomics enables us to understand the molecular basis of disease, not only at the organism, whole-cell or tissue levels, but also in subcellular structures, protein complexes and biological fluids. The application of proteomics in medicine is expected to have a major impact by providing an integrated view of individual disease processes. This review describes several proteomic platforms and examines the role of proteomics as a tool for clinical biomarker discovery, the identification of prognostic and earlier diagnostic markers, their use in monitoring the effects of drug treatments and eventually find more efficient and safer therapeutics for a wide range of pathologies.
Copyright © 2007 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Year:  2007        PMID: 21136752     DOI: 10.1002/prca.200700086

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


  7 in total

1.  An optimal protocol to analyze the rat spinal cord proteome.

Authors:  F Gil-Dones; S Alonso-Orgaz; G Avila; T Martin-Rojas; V Moral-Darde; G Barroso; F Vivanco; J Scott-Taylor; M G Barderas
Journal:  Biomark Insights       Date:  2009-10-28

2.  Characterization of acute renal allograft rejection by proteomic analysis of renal tissue in rat.

Authors:  Gang Chen; Jing-Bin Huang; Jie Mi; Yun-Feng He; Xiao-Hou Wu; Chun-Li Luo; Si-Min Liang; Jia-Bing Li; Ya-Xiong Tang; Jie Li
Journal:  Mol Biol Rep       Date:  2011-05-22       Impact factor: 2.316

3.  Proteomic signatures in plasma during early acute renal allograft rejection.

Authors:  Gabriela V Cohen Freue; Mayu Sasaki; Anna Meredith; Oliver P Günther; Axel Bergman; Mandeep Takhar; Alice Mui; Robert F Balshaw; Raymond T Ng; Nina Opushneva; Zsuzsanna Hollander; Guiyun Li; Christoph H Borchers; Janet Wilson-McManus; Bruce M McManus; Paul A Keown; W Robert McMaster
Journal:  Mol Cell Proteomics       Date:  2010-05-25       Impact factor: 5.911

4.  Gene expression profiling in organ transplantation.

Authors:  Osama Ashry Ahmed Gheith
Journal:  Int J Nephrol       Date:  2011-08-09

Review 5.  MS1 ion current-based quantitative proteomics: A promising solution for reliable analysis of large biological cohorts.

Authors:  Xue Wang; Shichen Shen; Sailee Suryakant Rasam; Jun Qu
Journal:  Mass Spectrom Rev       Date:  2019-03-28       Impact factor: 10.946

6.  MALDI-TOF MS Characterisation of the Serum Proteomic Profile in Insulin-Resistant Normal-Weight Individuals.

Authors:  Katarzyna Pastusiak; Eliza Matuszewska; Dagmara Pietkiewicz; Jan Matysiak; Pawel Bogdanski
Journal:  Nutrients       Date:  2021-10-28       Impact factor: 5.717

7.  Proteomic features characterization of Hymenoptera venom allergy.

Authors:  Eliza Matuszewska; Joanna Matysiak; Anna Bręborowicz; Katarzyna Olejniczak; Zdzisława Kycler; Zenon J Kokot; Jan Matysiak
Journal:  Allergy Asthma Clin Immunol       Date:  2019-11-27       Impact factor: 3.406

  7 in total

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