Literature DB >> 14595807

Protein microarrays: molecular profiling technologies for clinical specimens.

Virginia Espina1, Arpita I Mehta, Mary E Winters, Valerie Calvert, Julia Wulfkuhle, Emanuel F Petricoin, Lance A Liotta.   

Abstract

Proteomics, the study of protein function within biologic systems, will further our understanding of cancer pathogenesis. Coupled with transcript profiling, proteomics can herald the advent of molecular therapy tailored to the individual patient's neoplasm. Protein microarrays, one emerging class of proteomic technologies, have broad applications for discovery and quantitative analysis. This technology is uniquely suited to gather information about the post-translational modifications of proteins reflecting the activity state of signal pathways and networks. Protein microarrays now make it feasible to conduct signal network profiling within cellular samples. Nevertheless, to be successful, design and use of protein microarrays must take into consideration enormous analytical challenges. A subclass of protein microarrays, Reverse Phase Arrays, created to meet these challenges, has been optimized for use with tissue specimens, and is now in use for the analysis of biopsy samples for clinical trial research.

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Year:  2003        PMID: 14595807     DOI: 10.1002/pmic.200300592

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  45 in total

1.  [Update on protein analysis of fixed tissues].

Authors:  K-F Becker; D Berg; K Malinowsky; C Wolff; B Ergin; S Meding; A Walch; H Höfler
Journal:  Pathologe       Date:  2010-10       Impact factor: 1.011

Review 2.  Transplantation proteomics.

Authors:  Avram Z Traum; Asher D Schachter
Journal:  Pediatr Transplant       Date:  2005-12

3.  Photogenerated carbohydrate microarrays.

Authors:  Zhichao Pei; Hui Yu; Matthias Theurer; Annelie Waldén; Peter Nilsson; Mingdi Yan; Olof Ramström
Journal:  Chembiochem       Date:  2007-01-22       Impact factor: 3.164

4.  An interventional magnetic resonance imaging technique for the molecular characterization of intraprostatic dynamic contrast enhancement.

Authors:  Cynthia Ménard; Robert C Susil; Peter Choyke; Jonathan Coleman; Robert Grubb; Ahmed Gharib; Axel Krieger; Peter Guion; David Thomasson; Karen Ullman; Sandeep Gupta; Virginia Espina; Lance Liotta; Emanuel Petricoin; Gabor Fitchtinger; Louis L Whitcomb; Ergin Atalar; C Norman Coleman; Kevin Camphausen
Journal:  Mol Imaging       Date:  2005 Jan-Mar       Impact factor: 4.488

Review 5.  Validation and quality control of protein microarray-based analytical methods.

Authors:  Larry J Kricka; Stephen R Master
Journal:  Mol Biotechnol       Date:  2007-08-03       Impact factor: 2.695

6.  Experimental approach for assessing the outcome accuracy of antibody microarray experiments.

Authors:  Qiang Gu; Thamil Mani Sivanandam; Jessica Haymore
Journal:  J Proteome Res       Date:  2007-10-02       Impact factor: 4.466

7.  Smart hydrogel particles: biomarker harvesting: one-step affinity purification, size exclusion, and protection against degradation.

Authors:  Alessandra Luchini; David H Geho; Barney Bishop; Duy Tran; Cassandra Xia; Robert L Dufour; Clinton D Jones; Virginia Espina; Alexis Patanarut; Weidong Zhou; Mark M Ross; Alessandra Tessitore; Emanuel F Petricoin; Lance A Liotta
Journal:  Nano Lett       Date:  2007-12-13       Impact factor: 11.189

8.  Quantum Dots as Reporters in Multiplexed Immunoassays for Biomarkers of Exposure to Agrochemicals.

Authors:  M Nichkova; D Dosev; A E Davies; S J Gee; I M Kennedy; B D Hammock
Journal:  Anal Lett       Date:  2007-01       Impact factor: 2.329

9.  Increasing the sensitivity of reverse phase protein arrays by antibody-mediated signal amplification.

Authors:  Jan C Brase; Heiko Mannsperger; Holger Fröhlich; Stephan Gade; Christian Schmidt; Stefan Wiemann; Tim Beissbarth; Thorsten Schlomm; Holger Sültmann; Ulrike Korf
Journal:  Proteome Sci       Date:  2010-06-22       Impact factor: 2.480

Review 10.  Histopathological markers of treatment response and recurrence risk in ovarian cancers and borderline tumors.

Authors:  S Avril
Journal:  Pathologe       Date:  2017-11       Impact factor: 1.011

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