Literature DB >> 12943468

Microarray technology--an intellectual property retrospective.

Richard Rouse1, Gary Hardiman.   

Abstract

The recent sequencing of the human genome is a critical milestone that has provided a framework for the identification of thousands of novel potential drug targets and the common genetic factors that affect drug metabolism and toxicity. Microarrays represent a novel genetic platform which is being widely exploited to bridge the gap between gene sequence and function. Microarray technology has found broad use in the areas of disease diagnosis, pharmacogenomics and toxicogenomics, and many opportunities continue to be created in the marketplace. As the field matures and enters the clinical arena, we will witness further innovation in both the public and private sectors, which ultimately will improve the technology. However, the exercise of intellectual property rights in this area has shadowed the evolution of this technology. This report provides a retrospective review of microarrays, highlighting the key patents and litigation that have shaped the industry.

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Year:  2003        PMID: 12943468     DOI: 10.1517/phgs.4.5.623.23792

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  4 in total

1.  The ABRF MARG microarray survey 2005: taking the pulse of the microarray field.

Authors:  Kevin L Knudtson; Herbert Auer; Andrew I Brooks; Chandi Griffin; George Grills; Susan Hester; Gregory Khitrov; Kathryn S Lilley; Aldo Massimi; Jay P Tiesman; Agnes Viale
Journal:  J Biomol Tech       Date:  2006-04

Review 2.  Expectations, validity, and reality in gene expression profiling.

Authors:  Kyoungmi Kim; Stanislav O Zakharkin; David B Allison
Journal:  J Clin Epidemiol       Date:  2010-06-25       Impact factor: 6.437

3.  Proprietary science, open science and the role of patent disclosure: the case of zinc-finger proteins.

Authors:  Subhashini Chandrasekharan; Sapna Kumar; Cory M Valley; Arti Rai
Journal:  Nat Biotechnol       Date:  2009-02       Impact factor: 54.908

4.  Quantitative identification of technological paradigm changes using knowledge persistence.

Authors:  Changbae Mun; Sejun Yoon; Yongmin Kim; Nagarajan Raghavan; Hyunseok Park
Journal:  PLoS One       Date:  2019-08-15       Impact factor: 3.240

  4 in total

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