Literature DB >> 11530292

Methods to profile gene expression.

L W Stanton1.   

Abstract

Molecular biology has been influenced tremendously by recent technological advancements in miniaturization and automation. One consequence has been the development of robust and sensitive methods to analyze gene expression. The ability to evaluate systematically the expression of every mammalian gene is now technically feasible. The methods available for gene expression profiling, and their application in cardiovascular research, are the topics of this review.

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Year:  2001        PMID: 11530292     DOI: 10.1016/s1050-1738(01)00085-8

Source DB:  PubMed          Journal:  Trends Cardiovasc Med        ISSN: 1050-1738            Impact factor:   6.677


  6 in total

Review 1.  Myocardial molecular biology: an introduction.

Authors:  Nigel J Brand; Paul J R Barton
Journal:  Heart       Date:  2002-03       Impact factor: 5.994

2.  Isolation and analysis of genes mainly expressed in adult mouse heart using subtractive hybridization cDNA library.

Authors:  Evrim Komurcu-Bayrak; Bilge Ozsait; Nihan Erginel-Unaltuna
Journal:  Mol Biol Rep       Date:  2012-04-29       Impact factor: 2.316

3.  RNA arbitrarily primed PCR and fourier transform infrared spectroscopy reveal plasticity in the acid tolerance response of Streptococcus macedonicus.

Authors:  Konstantinos Papadimitriou; Effrossyni Boutou; Georgia Zoumpopoulou; Petros A Tarantilis; Moschos Polissiou; Constantinos E Vorgias; Effie Tsakalidou
Journal:  Appl Environ Microbiol       Date:  2008-08-08       Impact factor: 4.792

4.  Evaluation of low density array technology for quantitative parallel measurement of multiple genes in human tissue.

Authors:  Andrew B Goulter; Daniel W Harmer; Kenneth L Clark
Journal:  BMC Genomics       Date:  2006-02-24       Impact factor: 3.969

5.  In silico identification and comparative analysis of differentially expressed genes in human and mouse tissues.

Authors:  Sheng-Ying Pao; Win-Li Lin; Ming-Jing Hwang
Journal:  BMC Genomics       Date:  2006-04-21       Impact factor: 3.969

Review 6.  Strength in numbers: quantitative single-molecule RNA detection assays.

Authors:  Imre Gaspar; Anne Ephrussi
Journal:  Wiley Interdiscip Rev Dev Biol       Date:  2015-01-21       Impact factor: 5.814

  6 in total

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