Literature DB >> 16097936

DNA methyltransferases and structural-functional specificity of eukaryotic DNA modification.

Ya I Buryanov1, T V Shevchuk.   

Abstract

Properties of the main families of mammalian, plant, and fungal DNA methyltransferases are considered. Structural-functional specificity of eukaryotic genome sequences methylated by DNA methyltransferases is characterized. The total methylation of cytosine in DNA sequences is described, as well as its relation with RNA interference. Mechanisms of regulation of expression and modulation of DNA methyltransferase activity in the eukaryotic cell are discussed.

Entities:  

Mesh：

Substances：

Year:  2005        PMID： 16097936     DOI： 10.1007/s10541-005-0178-0

Source DB:  PubMed          Journal:  Biochemistry (Mosc)        ISSN： 0006-2979            Impact factor:   2.487


  11 in total

1.  Rapid conversion of human ESCs into mouse ESC-like pluripotent state by optimizing culture conditions.

Authors:  Qi Gu; Jie Hao; Xiao-yang Zhao; Wei Li; Lei Liu; Liu Wang; Zhong-hua Liu; Qi Zhou
Journal:  Protein Cell       Date:  2012-01-21       Impact factor: 14.870

Review 2.  An insight into the various regulatory mechanisms modulating human DNA methyltransferase 1 stability and function.

Authors:  Swayamsiddha Kar; Moonmoon Deb; Dipta Sengupta; Arunima Shilpi; Sabnam Parbin; Jérôme Torrisani; Sriharsa Pradhan; Samir Patra
Journal:  Epigenetics       Date:  2012-08-16       Impact factor: 4.528

3.  Secondary structure at a hot spot for DNA methylation in DNA from human breast cancers.

Authors:  Jarrod Clark; Steven S Smith
Journal:  Cancer Genomics Proteomics       Date:  2008 Sep-Oct       Impact factor: 4.069

4.  Systematic Analysis of the DNA Methylase and Demethylase Gene Families in Rapeseed (Brassica napus L.) and Their Expression Variations After Salt and Heat stresses.

Authors:  Shihang Fan; Hongfang Liu; Jing Liu; Wei Hua; Shouming Xu; Jun Li
Journal:  Int J Mol Sci       Date:  2020-01-31       Impact factor: 5.923

5.  i4mC-Mouse: Improved identification of DNA N4-methylcytosine sites in the mouse genome using multiple encoding schemes.

Authors:  Md Mehedi Hasan; Balachandran Manavalan; Watshara Shoombuatong; Mst Shamima Khatun; Hiroyuki Kurata
Journal:  Comput Struct Biotechnol J       Date:  2020-04-08       Impact factor: 7.271

6.  DNC4mC-Deep: Identification and Analysis of DNA N4-Methylcytosine Sites Based on Different Encoding Schemes By Using Deep Learning.

Authors:  Abdul Wahab; Omid Mahmoudi; Jeehong Kim; Kil To Chong
Journal:  Cells       Date:  2020-07-22       Impact factor: 6.600

7.  DNA sequences performs as natural language processing by exploiting deep learning algorithm for the identification of N4-methylcytosine.

Authors:  Abdul Wahab; Hilal Tayara; Zhenyu Xuan; Kil To Chong
Journal:  Sci Rep       Date:  2021-01-08       Impact factor: 4.379

8.  Identifying DNA N4-methylcytosine sites in the rosaceae genome with a deep learning model relying on distributed feature representation.

Authors:  Jhabindra Khanal; Hilal Tayara; Quan Zou; Kil To Chong
Journal:  Comput Struct Biotechnol J       Date:  2021-03-19       Impact factor: 7.271

9.  Down-regulation of DNMT3b in PC3 cells effects locus-specific DNA methylation, and represses cellular growth and migration.

Authors:  Ahmed Yaqinuddin; Sohail A Qureshi; Romena Qazi; Farhat Abbas
Journal:  Cancer Cell Int       Date:  2008-09-17       Impact factor: 5.722

10.  Genomic survey, gene expression analysis and structural modeling suggest diverse roles of DNA methyltransferases in legumes.

Authors:  Rohini Garg; Romika Kumari; Sneha Tiwari; Shweta Goyal
Journal:  PLoS One       Date:  2014-02-25       Impact factor: 3.240
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.