Literature DB >> 16856804

Antibody microarray-based oncoproteomics.

Carl A K Borrebaeck1.   

Abstract

The driving force behind oncoproteomics is the belief that certain protein signatures or patterns exist that are associated with a particular malignancy. If so, the correlation of clinical parameters with defined protein expression patterns would allow us to predict disease progression and perhaps even postulate improved therapeutic modalities. The technological challenges to achieve these goals are significant, as the human proteome is not defined. No general methodological approach exists today, and human cancer can, furthermore, be divided into several disease subgroups. One potential solution to finding cancer-associated protein signatures is the emerging technology of affinity proteomics. This approach addresses some of the shortcomings of traditional proteomics and combines it with the power of microarrays. The present review focuses on the role of antibody microarrays in oncoproteomics and its potential to provide a truly proteome-wide analytical approach.

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Year:  2006        PMID: 16856804     DOI: 10.1517/14712598.6.8.833

Source DB:  PubMed          Journal:  Expert Opin Biol Ther        ISSN: 1471-2598            Impact factor:   4.388


  8 in total

1.  Proteomic profiling of recombinant cells from large-scale mammalian cell culture processes.

Authors:  Paula Meleady
Journal:  Cytotechnology       Date:  2007-02-24       Impact factor: 2.058

Review 2.  Array-based sensing using nanoparticles: an alternative approach for cancer diagnostics.

Authors:  Ngoc D B Le; Mahdieh Yazdani; Vincent M Rotello
Journal:  Nanomedicine (Lond)       Date:  2014-07       Impact factor: 5.307

3.  Elevation of Tear MMP-9 Concentration as a Biomarker of Inflammation in Ocular Pathology by Antibody Microarray Immunodetection Assays.

Authors:  Miguel de la Fuente; Iñaki Rodríguez-Agirretxe; Elena Vecino; Egoitz Astigarraga; Arantxa Acera; Gabriel Barreda-Gómez
Journal:  Int J Mol Sci       Date:  2022-05-18       Impact factor: 6.208

4.  Chemical nose sensors: an alternative strategy for cancer diagnosis.

Authors:  Ngoc D B Le; Subinoy Rana; Vincent M Rotello
Journal:  Expert Rev Mol Diagn       Date:  2013-03       Impact factor: 5.225

5.  Array-based sensing of metastatic cells and tissues using nanoparticle-fluorescent protein conjugates.

Authors:  Subinoy Rana; Arvind K Singla; Avinash Bajaj; S Gokhan Elci; Oscar R Miranda; Rubul Mout; Bo Yan; Frank R Jirik; Vincent M Rotello
Journal:  ACS Nano       Date:  2012-09-04       Impact factor: 15.881

6.  Detection and differentiation of normal, cancerous, and metastatic cells using nanoparticle-polymer sensor arrays.

Authors:  Avinash Bajaj; Oscar R Miranda; Ik-Bum Kim; Ronnie L Phillips; D Joseph Jerry; Uwe H F Bunz; Vincent M Rotello
Journal:  Proc Natl Acad Sci U S A       Date:  2009-06-23       Impact factor: 11.205

7.  Proteomic analysis and discovery using affinity proteomics and mass spectrometry.

Authors:  Niclas Olsson; Christer Wingren; Mikael Mattsson; Peter James; David O'Connell; Fredrik Nilsson; Dolores J Cahill; Carl A K Borrebaeck
Journal:  Mol Cell Proteomics       Date:  2011-06-14       Impact factor: 5.911

8.  The multiplex bead array approach to identifying serum biomarkers associated with breast cancer.

Authors:  Byoung Kwon Kim; Jong Won Lee; Pil Je Park; Yong Sung Shin; Won Young Lee; Kyung Ae Lee; Sena Ye; Heesun Hyun; Kyung Nam Kang; Donghwa Yeo; Youngdai Kim; Sung Yup Ohn; Dong Young Noh; Chul Woo Kim
Journal:  Breast Cancer Res       Date:  2009-04-28       Impact factor: 6.466

  8 in total

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