Literature DB >> 12465452

SELDI proteinchip MS: a platform for biomarker discovery and cancer diagnosis.

George L Wright1.   

Abstract

Identification and understanding the structures, interactions and functions of all of a cell's proteins is one of the major goals of the postgenome era. The genome project has produced a wealth of information that is greatly expounding the genetic basis of cancer. However, it falls short in not allowing for accurate prediction of what is happening at the protein level in a cancer cell or a body fluid proteome. It is the hope that, by deciphering the alterations in the cancer proteome, biomarkers and patterns of biomarkers will be found that will lead to improvements in early detection, diagnosis and treatment monitoring. To achieve this goal, rapid high-throughput proteomic technologies will be required. The SELDI ProteinChip Biomarker mass spectrometry system appears to have potential in this effort, both for biomarker discovery and as a potential clinical diagnostic assay platform.

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Year:  2002        PMID: 12465452     DOI: 10.1586/14737159.2.6.549

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  20 in total

1.  Proteomic analysis indicates altered expression of plasma proteins in a rat nephropathy model.

Authors:  Si Ai; Jian Zheng; Qing Lin; Rongyan Chen
Journal:  Clin Exp Nephrol       Date:  2012-07-07       Impact factor: 2.801

Review 2.  Proteomics and diabetic nephropathy: what have we learned from a decade of clinical proteomics studies?

Authors:  Massimo Papale; Salvatore Di Paolo; Grazia Vocino; Maria Teresa Rocchetti; Loreto Gesualdo
Journal:  J Nephrol       Date:  2014-02-25       Impact factor: 3.902

Review 3.  Challenges for biomarker discovery in body fluids using SELDI-TOF-MS.

Authors:  Muriel De Bock; Dominique de Seny; Marie-Alice Meuwis; Jean-Paul Chapelle; Edouard Louis; Michel Malaise; Marie-Paule Merville; Marianne Fillet
Journal:  J Biomed Biotechnol       Date:  2009-12-06

4.  Urinary proteomics analysis based on mass spectrometry and identification of therapeutic targets of Shenkangling interventions in rats with adriamycin nephropathy using iTRAQ.

Authors:  Si Ai; Jian Zheng; Cai-Xia Qiu; Xiao-Lu Lu; Xu-Wei Li
Journal:  Am J Transl Res       Date:  2018-07-15       Impact factor: 4.060

Review 5.  Proteomic patterns as a diagnostic tool for early-stage cancer: a review of its progress to a clinically relevant tool.

Authors:  Thomas P Conrads; Brian L Hood; Haleem J Issaq; Timothy D Veenstra
Journal:  Mol Diagn       Date:  2004

6.  Detection of pancreatic cancer with normal carbohydrate antigen 19-9 using protein chip technology.

Authors:  Xiao-Li Jin; Bin Xu; Yu-Lian Wu
Journal:  World J Gastroenterol       Date:  2014-10-28       Impact factor: 5.742

7.  Enriched sera protein profiling for detection of non-small cell lung cancer biomarkers.

Authors:  Emanuela Monari; Christian Casali; Aurora Cuoghi; Jessica Nesci; Elisa Bellei; Stefania Bergamini; Luca I Fantoni; Pamela Natali; Uliano Morandi; Aldo Tomasi
Journal:  Proteome Sci       Date:  2011-09-19       Impact factor: 2.480

Review 8.  The application of SELDI-TOF-MS in clinical diagnosis of cancers.

Authors:  Chibo Liu
Journal:  J Biomed Biotechnol       Date:  2011-05-23

9.  A comparison between protein profiles of B cell subpopulations and mantle cell lymphoma cells.

Authors:  Henrik Stranneheim; Lukas M Orre; Janne Lehtiö; Jenny Flygare
Journal:  Proteome Sci       Date:  2009-11-23       Impact factor: 2.480

10.  Mining novel biomarkers for prognosis of gastric cancer with serum proteomics.

Authors:  Fu-Ming Qiu; Jie-Kai Yu; Yi-Ding Chen; Qi-Feng Jin; Mei-Hua Sui; Jian Huang
Journal:  J Exp Clin Cancer Res       Date:  2009-09-09
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