Literature DB >> 15247493

Global analysis of gene expression by differential display: a mathematical model.

Shitao Yang1, Peng Liang.   

Abstract

Differential display (DD) is one of the most commonly used approaches for identifying differentially expressed genes. However, there has been lack of an accurate guidance on how many DD polymerase chain reaction (PCR) primer combinations are needed to display most of the genes expressed in a eukaryotic cell. This study critically evaluated the gene coverage by DD as a function of the number of arbitrary primers, the number of 3' bases of an arbitrary primer required to completely match an mRNA target sequence, the additional 5' base match(s) of arbitrary primers in first-strand cDNA recognition, and the length of mRNA tails being analyzed. The resulting new DD mathematical model predicts that 80 to 160 arbitrary 13mers, when used in combinations with 3 one-base anchored oligo-dT primers, would allow any given mRNA within a eukaryotic cell to be detected with a 74% to 93% probability, respectively. The prediction was supported by both computer simulation of the DD process and experimental data from a comprehensive fluorescent DD screening for target genes of tumor-suppressor p53. Thus, this work provides a theoretical foundation upon which global analysis of gene expression by DD can be pursued.

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Year:  2004        PMID: 15247493     DOI: 10.1385/MB:27:3:197

Source DB:  PubMed          Journal:  Mol Biotechnol        ISSN: 1073-6085            Impact factor:   2.695


  18 in total

1.  Identification and classification of p53-regulated genes.

Authors:  J Yu; L Zhang; P M Hwang; C Rago; K W Kinzler; B Vogelstein
Journal:  Proc Natl Acad Sci U S A       Date:  1999-12-07       Impact factor: 11.205

2.  Sillycon valley fever.

Authors:  S Brenner
Journal:  Curr Biol       Date:  1999-09-23       Impact factor: 10.834

3.  A comparison of the Celera and Ensembl predicted gene sets reveals little overlap in novel genes.

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Journal:  Cell       Date:  2001-08-24       Impact factor: 41.582

Review 4.  DNA microarrays and beyond: completing the journey from tissue to cell.

Authors:  J C Mills; K A Roth; R L Cagan; J I Gordon
Journal:  Nat Cell Biol       Date:  2001-08       Impact factor: 28.824

5.  Unfolding of microarray data.

Authors:  A B Goryachev; P F Macgregor; A M Edwards
Journal:  J Comput Biol       Date:  2001       Impact factor: 1.479

6.  Cell cycle analysis and microarrays.

Authors:  Stephen Cooper
Journal:  Trends Genet       Date:  2002-06       Impact factor: 11.639

Review 7.  Analysing differential gene expression in cancer.

Authors:  Peng Liang; Arthur B Pardee
Journal:  Nat Rev Cancer       Date:  2003-11       Impact factor: 60.716

8.  DNA polymorphisms amplified by arbitrary primers are useful as genetic markers.

Authors:  J G Williams; A R Kubelik; K J Livak; J A Rafalski; S V Tingey
Journal:  Nucleic Acids Res       Date:  1990-11-25       Impact factor: 16.971

9.  Quantitative monitoring of gene expression patterns with a complementary DNA microarray.

Authors:  M Schena; D Shalon; R W Davis; P O Brown
Journal:  Science       Date:  1995-10-20       Impact factor: 47.728

10.  Analysis of altered gene expression by differential display.

Authors:  P Liang; D Bauer; L Averboukh; P Warthoe; M Rohrwild; H Muller; M Strauss; A B Pardee
Journal:  Methods Enzymol       Date:  1995       Impact factor: 1.600

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  4 in total

1.  Microbial community fingerprinting by differential display-denaturing gradient gel electrophoresis.

Authors:  M C Portillo; D Villahermosa; A Corzo; J M Gonzalez
Journal:  Appl Environ Microbiol       Date:  2010-11-12       Impact factor: 4.792

2.  Killin is a p53-regulated nuclear inhibitor of DNA synthesis.

Authors:  Yong-Jig Cho; Peng Liang
Journal:  Proc Natl Acad Sci U S A       Date:  2008-04-02       Impact factor: 11.205

3.  Primary and Secondary Abscission in Pisum sativum and Euphorbia pulcherrima-How Do They Compare and How Do They Differ?

Authors:  Anne K Hvoslef-Eide; Cristel M Munster; Cecilie A Mathiesen; Kwadwo O Ayeh; Tone I Melby; Paoly Rasolomanana; YeonKyeong Lee
Journal:  Front Plant Sci       Date:  2016-01-26       Impact factor: 5.753

4.  Differential Gene Expression in Response to Salinity and Temperature in a Haloarcula Strain from Great Salt Lake, Utah.

Authors:  Swati Almeida-Dalmet; Carol D Litchfield; Patrick Gillevet; Bonnie K Baxter
Journal:  Genes (Basel)       Date:  2018-01-22       Impact factor: 4.096

  4 in total

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