Literature DB >> 11146991

A rapid protein profiling system that speeds study of cancer and other diseases.

R B Rubin1, M Merchant.   

Abstract

To realize its potential to transform research and medicine, genomics must be complemented by protein expression data. Analysis by SELDI-TOF-MS technology, implemented in the ProteinChip System, overcomes the limitations of traditional protein analysis methods by enabling rapid analysis of small amounts of crude protein extracts and providing size and functional characterization on total cellular or tissue populations of proteins. The system has already been put to constructive use in many laboratories and has enabled researchers to determine unique protein profile signatures characteristic of progression from healthy to diseased states and back. In addition to its research applications, recent experimental successes suggest that the technology may soon find use in the important work of early diagnosis and treatment of infectious diseases, cancer, and other medical conditions.

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Year:  2000        PMID: 11146991

Source DB:  PubMed          Journal:  Am Clin Lab        ISSN: 1041-3235


  9 in total

1.  Synthesis and characterization of hydrogel particles containing Cibacron Blue F3G-A.

Authors:  Alexis Patanarut; Alessandra Luchini; Palma J Botterell; Anirudh Mohan; Caterina Longo; Paul Vorster; Emanuel F Petricoin; Lance A Liotta; Barney Bishop
Journal:  Colloids Surf A Physicochem Eng Asp       Date:  2010-06       Impact factor: 4.539

Review 2.  Quantitative matrix-assisted laser desorption/ionization mass spectrometry.

Authors:  Mark W Duncan; Heinrich Roder; Stephen W Hunsucker
Journal:  Brief Funct Genomic Proteomic       Date:  2008-09

3.  Quantitative analysis of the low molecular weight serum proteome using 18O stable isotope labeling in a lung tumor xenograft mouse model.

Authors:  Brian L Hood; David A Lucas; Grace Kim; King C Chan; Josip Blonder; Haleem J Issaq; Timothy D Veenstra; Thomas P Conrads; Ingrid Pollet; Aly Karsan
Journal:  J Am Soc Mass Spectrom       Date:  2005-08       Impact factor: 3.109

4.  Detection of cancer-specific markers amid massive mass spectral data.

Authors:  Wei Zhu; Xuena Wang; Yeming Ma; Manlong Rao; James Glimm; John S Kovach
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-01       Impact factor: 11.205

5.  An Automated Peak Identification/Calibration Procedure for High-Dimensional Protein Measures From Mass Spectrometers.

Authors:  Yutaka Yasui; Dale McLerran; Bao-Ling Adam; Marcy Winget; Mark Thornquist; Ziding Feng
Journal:  J Biomed Biotechnol       Date:  2003

6.  Identification of biomarkers for ovarian cancer using strong anion-exchange ProteinChips: potential use in diagnosis and prognosis.

Authors:  Katherine R Kozak; Malaika W Amneus; Suzanne M Pusey; Feng Su; Mui N Luong; Sam A Luong; Srinivasa T Reddy; Robin Farias-Eisner
Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-01       Impact factor: 11.205

7.  The National Center for Toxicogenomics: using new technologies to inform mechanistic toxicology.

Authors:  Raymond W Tennant
Journal:  Environ Health Perspect       Date:  2002-01       Impact factor: 9.031

8.  Microchip gel electrophoretic analysis of perchloric acid-soluble serum proteins in systemic inflammatory disorders.

Authors:  Lilla Makszin; Péter Kustán; Balázs Szirmay; Csilla Páger; Emerencia Mező; Krisztina I Kalács; Vera Pászthy; Erzsébet Györgyi; Ferenc Kilár; Andrea Ludány; Tamás Kőszegi
Journal:  Electrophoresis       Date:  2018-11-16       Impact factor: 3.535

Review 9.  What does the future hold for clinical microbiology?

Authors:  Didier Raoult; Pierre Edouard Fournier; Michel Drancourt
Journal:  Nat Rev Microbiol       Date:  2004-02       Impact factor: 60.633

  9 in total

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