Literature DB >> 10652456

High-throughput gene expression analysis for drug discovery.

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Abstract

The ability to rapidly survey and compare gene expression levels between reference and test samples is moving the drug discovery process towards a more genomic orientation. The success of the Human Genome Project and related private genomics initiatives, combined with new technologies to probe, image and access expression data, are responsible for this transformation. This article reviews the history, status and future direction of high-throughput gene expression analysis. It describes classical approaches, explains the development of methods such as differential display for discovering novel genes, and discusses how microarray technology is exploiting collections of known sequences to pinpoint drug targets.

Entities:  

Year:  2000        PMID: 10652456     DOI: 10.1016/s1359-6446(99)01448-8

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  4 in total

1.  A critical evaluation of differential display as a tool to identify genes involved in legume nodulation: looking back and looking forward.

Authors:  S Lievens; S Goormachtig; M Holsters
Journal:  Nucleic Acids Res       Date:  2001-09-01       Impact factor: 16.971

2.  Utility of cleavable isotope-coded affinity-tagged reagents for quantification of low-copy proteins induced by methylprednisolone using liquid chromatography/tandem mass spectrometry.

Authors:  Jun Qu; William J Jusko; Robert M Straubinger
Journal:  Anal Chem       Date:  2006-07-01       Impact factor: 6.986

3.  Hepatic gene expression response to acute indomethacin exposure.

Authors:  William A LaFramboise; Kelly L Bombach; Andrew R Pogozelski; Ryan F Cullen; Noah Muha; James Lyons-Weiler; Scott J Spear; Rajiv J Dhir; Robert D Guthrie; James A Magovern
Journal:  Mol Diagn Ther       Date:  2006       Impact factor: 4.074

Review 4.  Studies of complex biological systems with applications to molecular medicine: the need to integrate transcriptomic and proteomic approaches.

Authors:  Elena Silvestri; Assunta Lombardi; Pieter de Lange; Daniela Glinni; Rosalba Senese; Federica Cioffi; Antonia Lanni; Fernando Goglia; Maria Moreno
Journal:  J Biomed Biotechnol       Date:  2010-10-11
  4 in total

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