Literature DB >> 12364383

Serial analysis of gene expression: technical considerations and applications to cardiovascular biology.

Willmar D Patino1, Omar Y Mian, Paul M Hwang.   

Abstract

It has been 7 years since serial analysis of gene expression (SAGE) and microarray hybridization techniques were simultaneously introduced to allow the screening of thousands of expressed genes. Both techniques have stood up to the test of time as evidenced by their widespread use, and both have been used for studying cardiovascular diseases. SAGE has been used more extensively to study cancer cells, but it has also been used to examine gene expression in systems as divergent as rice seedlings, yeast, and Caenorhabditis elegans. In this review, a summary of the advances in SAGE technology and its unique attributes and potential applications to the cardiovascular system will be presented.

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Year:  2002        PMID: 12364383     DOI: 10.1161/01.res.0000036018.76903.18

Source DB:  PubMed          Journal:  Circ Res        ISSN: 0009-7330            Impact factor:   17.367


  8 in total

Review 1.  Reference genes for measuring mRNA expression.

Authors:  Jitesh Dundas; Maurice Ling
Journal:  Theory Biosci       Date:  2012-05-17       Impact factor: 1.919

2.  Mechanotransduction Mechanisms for Intraventricular Diastolic Vortex Forces and Myocardial Deformations: Part 2.

Authors:  Ares Pasipoularides
Journal:  J Cardiovasc Transl Res       Date:  2015-05-14       Impact factor: 4.132

3.  Circulating transcriptome reveals markers of atherosclerosis.

Authors:  Willmar D Patino; Omar Y Mian; Ju-Gyeong Kang; Satoaki Matoba; Linda D Bartlett; Brenda Holbrook; Hugh H Trout; Louis Kozloff; Paul M Hwang
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-22       Impact factor: 11.205

Review 4.  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 5.  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 6.  Methodologies to decipher the cell secretome.

Authors:  Paromita Mukherjee; Sridhar Mani
Journal:  Biochim Biophys Acta       Date:  2013-01-31

7.  Clustering-based approaches to SAGE data mining.

Authors:  Haiying Wang; Huiru Zheng; Francisco Azuaje
Journal:  BioData Min       Date:  2008-07-17       Impact factor: 2.522

8.  Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data.

Authors:  Haiying Wang; Huiru Zheng; David Simpson; Francisco Azuaje
Journal:  BMC Bioinformatics       Date:  2006-03-08       Impact factor: 3.169

  8 in total

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