Literature DB >> 11937753

Global analysis of gene expression: methods, interpretation, and pitfalls.

Ryan M Fryer1, Jeffrey Randall, Takumi Yoshida, Li-Li Hsiao, Joshua Blumenstock, Katharine E Jensen, Tudor Dimofte, Roderick V Jensen, Steven R Gullans.   

Abstract

Over the past 15 years, global analysis of mRNA expression has emerged as a powerful strategy for biological discovery. Using the power of parallel processing, robotics, and computer-based informatics, a number of high-throughput methods have been devised. These include DNA microarrays, serial analysis of gene expression, quantitative RT-PCR, differential-display RT-PCR, and massively parallel signature sequencing. Each of these methods has inherent advantages and disadvantages, often related to expense, technical difficulty, specificity, and reliability. Further, the ability to generate large data sets of gene expression has led to new challenges in bioinformatics. Nonetheless, this technological revolution is transforming disease classification, gene discovery, and our understanding of regulatory gene networks. Copyright 2002 S. Karger AG, Basel

Mesh:

Year:  2002        PMID: 11937753     DOI: 10.1159/000049901

Source DB:  PubMed          Journal:  Exp Nephrol        ISSN: 1018-7782


  8 in total

Review 1.  Genomic analysis of circulating cells: a window into atherosclerosis.

Authors:  Ju-Gyeong Kang; Willmar D Patino; Satoaki Matoba; Paul M Hwang
Journal:  Trends Cardiovasc Med       Date:  2006-07       Impact factor: 6.677

Review 2.  Gene expression in diabetic nephropathy.

Authors:  Daniela Hohenadel; Fokko J van der Woude
Journal:  Curr Diab Rep       Date:  2004-12       Impact factor: 4.810

3.  Systematic analysis and validation of differential gene expression in ovarian serous adenocarcinomas and normal ovary.

Authors:  Dirk Bauerschlag; Karen Bräutigam; Roland Moll; Jalid Sehouli; Alexander Mustea; Darius Salehin; Maryla Krajewska; John C Reed; Nicolai Maass; Garret M Hampton; Ivo Meinhold-Heerlein
Journal:  J Cancer Res Clin Oncol       Date:  2012-10-23       Impact factor: 4.553

Review 4.  Global expression profiling in epileptogenesis: does it add to the confusion?

Authors:  Yi Yuen Wang; Paul Smith; Michael Murphy; Mark Cook
Journal:  Brain Pathol       Date:  2009-02-24       Impact factor: 6.508

Review 5.  From molecular biology to pharmacogenetics: a review of the literature on antidepressant treatment and suggestions of possible candidate genes.

Authors:  Alessandro Serretti; Paola Artioli
Journal:  Psychopharmacology (Berl)       Date:  2004-03-02       Impact factor: 4.530

6.  A Methodology for Cancer Therapeutics by Systems Pharmacology-Based Analysis: A Case Study on Breast Cancer-Related Traditional Chinese Medicines.

Authors:  Yan Li; Jinghui Wang; Feng Lin; Yinfeng Yang; Su-Shing Chen
Journal:  PLoS One       Date:  2017-01-09       Impact factor: 3.240

7.  Systems pharmacology uncovers Janus functions of botanical drugs: activation of host defense system and inhibition of influenza virus replication.

Authors:  Xia Wang; Xue Xu; Yan Li; Xiuxiu Li; Weiyang Tao; Bohui Li; Yonghua Wang; Ling Yang
Journal:  Integr Biol (Camb)       Date:  2013-02       Impact factor: 2.192

Review 8.  Unveiling the gene-expression profile of pollen.

Authors:  José António da Costa-Nunes; Ueli Grossniklaus
Journal:  Genome Biol       Date:  2003-12-24       Impact factor: 13.583

  8 in total

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