Literature DB >> 26087618

[Regulatory Genomics: Integrated Experimental and Computer Approaches].

E V Ignatieva, O A Podkolodnaya, Yu L Orlov, G V Vasiliev, N A Kolchanov.   

Abstract

The review describes integrated experimental and computer approaches to the investigation of the mechanisms of transcriptional regulation of the organization of eukaryotic genes and transcription regulatory regions. These include (a) an analysis of the factors affecting the affinity of TBP (TATA-binding protein) for the TATA box; (b) research on the patterns of chromatin mark distributions and their role in the regulation of gene expression; (c) a study of 3D chromatin organization; (d) an estimation of the effects of polymorphisms on gene expression via high-resolution Chip-seq and DNase-seq techniques. It was demonstrated that integrated experimental and computer approaches are very important for the current understanding of transcription regulatory mechanisms and the structural and functional organization of the regulatory regions controlling transcription.

Entities:  

Mesh:

Year:  2015        PMID: 26087618

Source DB:  PubMed          Journal:  Genetika        ISSN: 0016-6758


  4 in total

1.  A compendium of human genes regulating feeding behavior and body weight, its functional characterization and identification of GWAS genes involved in brain-specific PPI network.

Authors:  Elena V Ignatieva; Dmitry A Afonnikov; Olga V Saik; Evgeny I Rogaev; Nikolay A Kolchanov
Journal:  BMC Genet       Date:  2016-12-22       Impact factor: 2.797

2.  A database of human genes and a gene network involved in response to tick-borne encephalitis virus infection.

Authors:  Elena V Ignatieva; Alexander V Igoshin; Nikolay S Yudin
Journal:  BMC Evol Biol       Date:  2017-12-28       Impact factor: 3.260

3.  Statistical estimates of multiple transcription factors binding in the model plant genomes based on ChIP-seq data.

Authors:  Arthur I Dergilev; Nina G Orlova; Oxana B Dobrovolskaya; Yuriy L Orlov
Journal:  J Integr Bioinform       Date:  2021-12-21

4.  Human Genes Encoding Transcription Factors and Chromatin-Modifying Proteins Have Low Levels of Promoter Polymorphism: A Study of 1000 Genomes Project Data.

Authors:  Elena V Ignatieva; Victor G Levitsky; Nikolay A Kolchanov
Journal:  Int J Genomics       Date:  2015-08-31       Impact factor: 2.326

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.