Literature DB >> 17545578

Accurate quantitation of allele-specific expression patterns by analysis of DNA melting.

Sangkyun Jeong1, Yoonsoo Hahn, Qi Rong, Karl Pfeifer.   

Abstract

Epigenetic and genetic mechanisms can result in large differences in expression levels of the two alleles in a diploid organism. Furthermore, these differences may be critical to phenotypic variations among individuals. In this study, we present a novel procedure and algorithm to precisely and accurately quantitate the relative expression of each allele. This method uses the differential melting properties of DNAs differing at even a single base pair. By referring to the melting characteristics of the two pure alleles, the fractional contribution of the two alleles to any unknown mixture can be mathematically resolved. These methods are highly accurate and precise because each single melting reaction yields multiple data points for analysis. Finally, we discuss how this approach can be used more generally to accurately quantitate gene expression relative to known standards.

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Year:  2007        PMID: 17545578      PMCID: PMC1899120          DOI: 10.1101/gr.6028507

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  18 in total

1.  H19 and Igf2 monoallelic expression is regulated in two distinct ways by a shared cis acting regulatory region upstream of H19.

Authors:  M Srivastava; S Hsieh; A Grinberg; L Williams-Simons; S P Huang; K Pfeifer
Journal:  Genes Dev       Date:  2000-05-15       Impact factor: 11.361

2.  In vivo characterization of regulatory polymorphisms by allele-specific quantification of RNA polymerase loading.

Authors:  Julian C Knight; Brendan J Keating; Kirk A Rockett; Dominic P Kwiatkowski
Journal:  Nat Genet       Date:  2003-03-10       Impact factor: 38.330

3.  Allelic variation in human gene expression.

Authors:  Hai Yan; Weishi Yuan; Victor E Velculescu; Bert Vogelstein; Kenneth W Kinzler
Journal:  Science       Date:  2002-08-16       Impact factor: 47.728

4.  Association of the T-cell regulatory gene CTLA4 with susceptibility to autoimmune disease.

Authors:  Hironori Ueda; Joanna M M Howson; Laura Esposito; Joanne Heward; Hywel Snook; Giselle Chamberlain; Daniel B Rainbow; Kara M D Hunter; Annabel N Smith; Gianfranco Di Genova; Mathias H Herr; Ingrid Dahlman; Felicity Payne; Deborah Smyth; Christopher Lowe; Rebecca C J Twells; Sarah Howlett; Barry Healy; Sarah Nutland; Helen E Rance; Vin Everett; Luc J Smink; Alex C Lam; Heather J Cordell; Neil M Walker; Cristina Bordin; John Hulme; Costantino Motzo; Francesco Cucca; J Fred Hess; Michael L Metzker; Jane Rogers; Simon Gregory; Amit Allahabadia; Ratnasingam Nithiyananthan; Eva Tuomilehto-Wolf; Jaakko Tuomilehto; Polly Bingley; Kathleen M Gillespie; Dag E Undlien; Kjersti S Rønningen; Cristian Guja; Constantin Ionescu-Tîrgovişte; David A Savage; A Peter Maxwell; Dennis J Carson; Chris C Patterson; Jayne A Franklyn; David G Clayton; Laurence B Peterson; Linda S Wicker; John A Todd; Stephen C L Gough
Journal:  Nature       Date:  2003-04-30       Impact factor: 49.962

5.  Allelic variation in gene expression is common in the human genome.

Authors:  H Shuen Lo; Zhining Wang; Ying Hu; Howard H Yang; Sheryl Gere; Kenneth H Buetow; Maxwell P Lee
Journal:  Genome Res       Date:  2003-08       Impact factor: 9.043

Review 6.  Monoallelic gene expression: a repertoire of recurrent themes.

Authors:  Maya Goldmit; Yehudit Bergman
Journal:  Immunol Rev       Date:  2004-08       Impact factor: 12.988

7.  The H19 differentially methylated region marks the parental origin of a heterologous locus without gametic DNA methylation.

Authors:  Kye-Yoon Park; Elizabeth A Sellars; Alexander Grinberg; Sing-Ping Huang; Karl Pfeifer
Journal:  Mol Cell Biol       Date:  2004-05       Impact factor: 4.272

Review 8.  Quantitative genetic variation: a post-modern view.

Authors:  Martin Farrall
Journal:  Hum Mol Genet       Date:  2004-02-12       Impact factor: 6.150

Review 9.  Regulation of odorant receptors: one allele at a time.

Authors:  Benjamin M Shykind
Journal:  Hum Mol Genet       Date:  2005-04-15       Impact factor: 6.150

10.  Small changes in expression affect predisposition to tumorigenesis.

Authors:  Hai Yan; Zuzana Dobbie; Stephen B Gruber; Sanford Markowitz; Kathy Romans; Francis M Giardiello; Kenneth W Kinzler; Bert Vogelstein
Journal:  Nat Genet       Date:  2001-12-17       Impact factor: 38.330

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  6 in total

1.  H19ICR mediated transcriptional silencing does not require target promoter methylation.

Authors:  Claudia Gebert; Qi Rong; Sangkyun Jeong; James Iben; Karl Pfeifer
Journal:  Biochem Biophys Res Commun       Date:  2016-05-10       Impact factor: 3.575

2.  Global analysis of allele-specific expression in Arabidopsis thaliana.

Authors:  Xu Zhang; Justin O Borevitz
Journal:  Genetics       Date:  2009-05-27       Impact factor: 4.562

3.  Functional effect of grapevine 1-deoxy-D-xylulose 5-phosphate synthase substitution K284N on Muscat flavour formation.

Authors:  Juri Battilana; Francesco Emanuelli; Giorgio Gambino; Ivana Gribaudo; Flavia Gasperi; Paul K Boss; Maria Stella Grando
Journal:  J Exp Bot       Date:  2011-08-24       Impact factor: 6.992

4.  SiNG-PCRseq: Accurate inter-sequence quantification achieved by spiking-in a neighbor genome for competitive PCR amplicon sequencing.

Authors:  Soo A Oh; Inchul Yang; Yoonsoo Hahn; Yong-Kook Kang; Sun-Ku Chung; Sangkyun Jeong
Journal:  Sci Rep       Date:  2015-07-06       Impact factor: 4.379

5.  Accurate measurement of the relative abundance of different DNA species in complex DNA mixtures.

Authors:  Sangkyun Jeong; Hyunjoo Yu; Karl Pfeifer
Journal:  DNA Res       Date:  2012-02-14       Impact factor: 4.458

6.  Reference Materials for Calibration of Analytical Biases in Quantification of DNA Methylation.

Authors:  Hannah Yu; Yoonsoo Hahn; Inchul Yang
Journal:  PLoS One       Date:  2015-09-14       Impact factor: 3.240

  6 in total

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