Novel tools for unbiased DNA differential methylation screening

被引:2
|
作者
Tanas, Alexander S. [1 ]
Shkarupo, Viktoria V. [1 ,2 ]
Kuznetsova, Ekaterina B. [1 ,2 ]
Zaletayev, Dmitry V. [1 ,2 ]
Strelnikov, Vladimir V. [1 ,2 ]
机构
[1] Russian Acad Med Sci, Med Genet Res Ctr, Moscow 115478, Russia
[2] IM Sechenov Moscow Med Acad, Moscow, Russia
基金
俄罗斯基础研究基金会;
关键词
amplification of intermethylated sites; capillary electrophoresis; differential methylation screening; in silico tool; methylation-sensitive arbitrarily primed PCR; virtual imaging; GENOME; AMPLIFICATION; GENES; AIMS;
D O I
10.2217/EPI.10.3
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
DNA differential methylation screening approaches may be hypothesis driven (preselection of the loci to screen) or unbiased (screening precedes mapping of differentially methylated loci). The latter allow for the identification of sequences demonstrating 'nonclassical' methylation behavior in cancer and, thus, widen our concept of tumor biology. Extensive employment of unbiased screening methods is hampered by the troublesome procedures involved in physically mapping the identified differentially methylated DNA fragments. In this special report, we describe a positive experience of optimizing two screening methods, methylation-sensitive arbitrarily primed PCR and amplification of intermethylated sites, with a special focus on simplification, or even exclusion, of sequencing procedures. With our modifications, unbiased screening of DNA differential methylation acquires an easy-to-use workflow, including sophisticated experimental design, high-resolution analysis and simple genomic mapping of the fragments of interest.
引用
收藏
页码:325 / 333
页数:9
相关论文
共 50 条
  • [1] Identification of Novel Inhibitors of DNA Methylation by Screening of a Chemical Library
    Ceccaldi, Alexandre
    Rajavelu, Arumugam
    Ragozin, Sergey
    Senamaud-Beaufort, Catherine
    Bashtrykov, Pavel
    Testa, Noe
    Dali-Ali, Hana
    Maulay-Bailly, Christine
    Amand, Severine
    Guianvarc'h, Dominique
    Jeltsch, Albert
    Arimondo, Paola B.
    ACS CHEMICAL BIOLOGY, 2013, 8 (03) : 543 - 548
  • [2] Differential DNA methylation profiles reveals novel pathways in prostate carcinogenesis
    Kwabi-Addo, Bernard
    Wang, Songping
    Jelinek, Jaroslov
    Issa, Jean Pierre
    Ittmann, Michael
    CANCER RESEARCH, 2009, 69
  • [3] A Novel Gene Prognostic Signature Based on Differential DNA Methylation in Breast Cancer
    Zhu, Chunmei
    Zhang, Shuyuan
    Liu, Di
    Wang, Qingqing
    Yang, Ningning
    Zheng, Zhewen
    Wu, Qiuji
    Zhou, Yunfeng
    FRONTIERS IN GENETICS, 2021, 12
  • [4] Polyploidy and DNA methylation: new tools available
    Salmon, Armel
    Ainouche, Malika L.
    MOLECULAR ECOLOGY, 2010, 19 (02) : 213 - 215
  • [5] Differential DNA methylation in familial hypercholesterolemia
    Reeskamp, Laurens F.
    Venema, Andrea
    Pereira, Joao P. Belo
    Levin, Evgeni
    Nieuwdorp, Max
    Groen, Albert K.
    Defesche, Joep C.
    Grefhorst, Aldo
    Henneman, Peter
    Hovingh, G. Kees
    EBIOMEDICINE, 2020, 61
  • [6] A novel inhibitor of DNA methylation
    Malik, Mohammad T.
    Rinaldo, Francesca M.
    Mitra, Shams
    Casson, Lavona K.
    Zacharias, Wolfgang
    INaigel, Sabine
    Arunnugam, Vennila
    Hasan, Nazarul
    Hu, Chuan
    Bo, Xu
    Hammond, Gerald B.
    Bates, Paula J.
    CANCER RESEARCH, 2010, 70
  • [7] Blood DNA Methylation Analysis Reveals Differential Methylation in AMD
    Merbs, Shannath L.
    Oliver, Verity Frances
    Jaffe, Andrew
    Swaroop, Anand
    Branham, Kari E.
    Campochiaro, Elizabeth
    Zack, Donald J.
    Qian, Jiang
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2014, 55 (13)
  • [8] Unbiased genomewide screening of circulating plasma DNA for cancer detection
    Lenaerts, L.
    Brison, N.
    Neofytou, M.
    Che, H.
    Dehaspe, L.
    Verheecke, M.
    Maggen, C.
    Dewaele, B.
    Vanderschueren, S.
    Vandecaveye, V.
    Vandenberghe, P.
    Vermeesch, J.
    Amant, F.
    ANNALS OF ONCOLOGY, 2018, 29 : 479 - 479
  • [9] Bigmelon: tools for analysing large DNA methylation datasets
    Gorrie-Stone, Tyler J.
    Smart, Melissa C.
    Saffari, Ayden
    Malki, Karim
    Hannon, Eilis
    Burrage, Joe
    Mill, Jonathan
    Kumari, Meena
    Schalkwyk, Leonard C.
    BIOINFORMATICS, 2019, 35 (06) : 981 - 986
  • [10] DNA methylation in plants: mechanisms and tools for targeted manipulation
    Gallego-Bartolome, Javier
    NEW PHYTOLOGIST, 2020, 227 (01) : 38 - 44