Literature DB >> 19483476

Primer design versus PCR bias in methylation independent PCR amplifications.

Tomasz K Wojdacz1, Tanni Borgbo, Lise Lotte Hansen.   

Abstract

Many protocols in methylation studies utilize one primer set to generate a PCR product from bisulfite modified template regardless of its methylation status (methylation independent amplification MIP). However, proportional amplification of methylated and unmethylated alleles is hard to achieve due to PCR bias favoring amplification of unmethylated relatively GC poor sequence. Two primer design systems have been proposed to overcome PCR bias in methylation independent amplifications. The first advises against including any CpG dinucleoteides into the primer sequence (CpG-free primers) and the second, recently published by us, is based on inclusion of a limited number of CpG sites into the primer sequence. Here we used the Methylation Sensitive High Resolution Melting (MS-HRM) technology to investigate the ability of primers designed according to both of the above mentioned primer design systems to proportionally amplify methylated and unmethylated templates. Ten "CpG-free" primer pairs and twenty primers containing limited number of CpGs were tested. In reconstruction experiments the "CpG-free" primers showed primer specific sensitivity and allowed us to detect methylation levels in the range from 5 to 50%. Whereas while using primers containing limited number of CpG sites we were able to consistently detect 1-0.1% methylation levels and effectively control PCR amplification bias. In conclusion, the primers with limited number of CpG sites are able to effectively reverse PCR bias and therefore detect methylated templates with significantly higher sensitivity than CpG free primers.

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Year:  2009        PMID: 19483476     DOI: 10.4161/epi.9020

Source DB:  PubMed          Journal:  Epigenetics        ISSN: 1559-2294            Impact factor:   4.528


  35 in total

1.  Accurate CpG and non-CpG cytosine methylation analysis by high-throughput locus-specific pyrosequencing in plants.

Authors:  Alexandre How-Kit; Antoine Daunay; Nicolas Mazaleyrat; Florence Busato; Christian Daviaud; Emeline Teyssier; Jean-François Deleuze; Philippe Gallusci; Jörg Tost
Journal:  Plant Mol Biol       Date:  2015-06-14       Impact factor: 4.076

2.  Identification and Quantification of Heterogeneously-methylated DNA Fragments Using Epiallele-sensitive Droplet Digital Polymerase Chain Reaction (EAST-ddPCR).

Authors:  Mario Menschikowski; Carsten Jandeck; Markus Friedemann; Susan Richter; Dana Thiem; Björn Sönke Lange; Meinolf Suttorp
Journal:  Cancer Genomics Proteomics       Date:  2018 Jul-Aug       Impact factor: 4.069

Review 3.  Epigenetic biomarkers: Current strategies and future challenges for their use in the clinical laboratory.

Authors:  José Luis García-Giménez; Marta Seco-Cervera; Trygve O Tollefsbol; Carlos Romá-Mateo; Lorena Peiró-Chova; Pablo Lapunzina; Federico V Pallardó
Journal:  Crit Rev Clin Lab Sci       Date:  2017-12-11       Impact factor: 6.250

4.  Accurate Measurement of DNA Methylation: Challenges and Bias Correction.

Authors:  Eguzkine Ochoa; Verena Zuber; Leonardo Bottolo
Journal:  Methods Mol Biol       Date:  2022

5.  Valproic acid shows a potent antitumor effect with alteration of DNA methylation in neuroblastoma.

Authors:  Song Gu; Yufeng Tian; Alexandre Chlenski; Helen R Salwen; Ziyan Lu; J Usha Raj; Qiwei Yang
Journal:  Anticancer Drugs       Date:  2012-11       Impact factor: 2.248

6.  Transcript, methylation and molecular docking analyses of the effects of HDAC inhibitors, SAHA and Dacinostat, on SMN2 expression in fibroblasts of SMA patients.

Authors:  Jafar Mohseni; Belal O Al-Najjar; Habibah A Wahab; Z A M H Zabidi-Hussin; Teguh Haryo Sasongko
Journal:  J Hum Genet       Date:  2016-06-02       Impact factor: 3.172

7.  DNA methylation pattern of CALCA in preterm neonates with bacterial sepsis as a putative epigenetic biomarker.

Authors:  Kristina A Tendl; Stefan M F Schulz; Thomas P Mechtler; Adele Bohn; Thomas Metz; Susanne Greber-Platzer; David C Kasper; Kurt R Herkner; Chike B Item
Journal:  Epigenetics       Date:  2013-10-17       Impact factor: 4.528

8.  MethylCal: Bayesian calibration of methylation levels.

Authors:  Eguzkine Ochoa; Verena Zuber; Nora Fernandez-Jimenez; Jose Ramon Bilbao; Graeme R Clark; Eamonn R Maher; Leonardo Bottolo
Journal:  Nucleic Acids Res       Date:  2019-08-22       Impact factor: 16.971

9.  Chronic Mild Stress and Venlafaxine Treatment Were Associated with Altered Expression Level and Methylation Status of New Candidate Inflammatory Genes in PBMCs and Brain Structures of Wistar Rats.

Authors:  Katarzyna Bialek; Piotr Czarny; Paulina Wigner; Ewelina Synowiec; Gabriela Barszczewska; Michal Bijak; Janusz Szemraj; Monika Niemczyk; Katarzyna Tota-Glowczyk; Mariusz Papp; Tomasz Sliwinski
Journal:  Genes (Basel)       Date:  2021-04-29       Impact factor: 4.096

10.  Association of ZNF331 and WIF1 methylation in peripheral blood leukocytes with the risk and prognosis of gastric cancer.

Authors:  Chuang Nie; Xu Han; Rongrong Wei; Anastasiia Leonteva; Jia Hong; Xinyu Du; Jing Wang; Lin Zhu; Yashuang Zhao; Yingwei Xue; Haibo Zhou; Wenjing Tian
Journal:  BMC Cancer       Date:  2021-05-15       Impact factor: 4.430

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