Literature DB >> 21069662

Advances in analysis of transcriptional regulatory networks.

Tae-Min Kim1, Peter J Park.   

Abstract

A transcriptional regulatory network represents a molecular framework in which developmental or environmental cues are transformed into differential expression of genes. Transcriptional regulation is mediated by the combinatorial interplay between cis-regulatory DNA elements and trans-acting transcription factors, and is perhaps the most important mechanism for controlling gene expression. Recent innovations, most notably the method for detecting protein-DNA interactions genome-wide, can help provide a comprehensive catalog of cis-regulatory elements and their interaction with given trans-acting factors in a given condition. A transcriptional regulatory network that integrates such information can lead to a systems-level understanding of regulatory mechanisms. In this review, we will highlight the key aspects of current knowledge on eukaryotic transcriptional regulation, especially on known transcription factors and their interacting regulatory elements. Then we will review some recent technical advances for genome-wide mapping of DNA-protein interactions based on high-throughput sequencing. Finally, we will discuss the types of biological insights that can be obtained from a network-level understanding of transcription regulation as well as future challenges in the field.

Mesh:

Substances:

Year:  2011        PMID: 21069662     DOI: 10.1002/wsbm.105

Source DB:  PubMed          Journal:  Wiley Interdiscip Rev Syst Biol Med        ISSN: 1939-005X


  14 in total

1.  Analyzing LC/MS metabolic profiling data in the context of existing metabolic networks.

Authors:  Tianwei Yu; Yun Bai
Journal:  Curr Metabolomics       Date:  2013-01-01

2.  Next-Generation Genome-Scale Models Incorporating Multilevel 'Omics Data: From Yeast to Human.

Authors:  Tunahan Çakır; Emel Kökrek; Gülben Avşar; Ecehan Abdik; Pınar Pir
Journal:  Methods Mol Biol       Date:  2019

3.  Buffered Qualitative Stability explains the robustness and evolvability of transcriptional networks.

Authors:  Luca Albergante; J Julian Blow; Timothy J Newman
Journal:  Elife       Date:  2014-09-02       Impact factor: 8.140

4.  Transcription factor HIF1A: downstream targets, associated pathways, polymorphic hypoxia response element (HRE) sites, and initiative for standardization of reporting in scientific literature.

Authors:  Lucija Slemc; Tanja Kunej
Journal:  Tumour Biol       Date:  2016-09-19

5.  KLF15 Enables Rapid Switching between Lipogenesis and Gluconeogenesis during Fasting.

Authors:  Yoshinori Takeuchi; Naoya Yahagi; Yuichi Aita; Yuki Murayama; Yoshikazu Sawada; Xiaoying Piao; Naoki Toya; Yukari Oya; Akito Shikama; Ayako Takarada; Yukari Masuda; Makiko Nishi; Midori Kubota; Yoshihiko Izumida; Takashi Yamamoto; Motohiro Sekiya; Takashi Matsuzaka; Yoshimi Nakagawa; Osamu Urayama; Yasushi Kawakami; Yoko Iizuka; Takanari Gotoda; Keiji Itaka; Kazunori Kataoka; Ryozo Nagai; Takashi Kadowaki; Nobuhiro Yamada; Yuan Lu; Mukesh K Jain; Hitoshi Shimano
Journal:  Cell Rep       Date:  2016-08-18       Impact factor: 9.423

6.  Life or death? A physiogenomic approach to understand individual variation in responses to hemorrhagic shock.

Authors:  Harold G Klemcke; Bina Joe; Rajiv Rose; Kathy L Ryan
Journal:  Curr Genomics       Date:  2011-09       Impact factor: 2.236

7.  Latent Semantic Indexing of PubMed abstracts for identification of transcription factor candidates from microarray derived gene sets.

Authors:  Sujoy Roy; Kevin Heinrich; Vinhthuy Phan; Michael W Berry; Ramin Homayouni
Journal:  BMC Bioinformatics       Date:  2011-10-18       Impact factor: 3.169

8.  Correlation between DNase I hypersensitive site distribution and gene expression in HeLa S3 cells.

Authors:  Ya-Mei Wang; Ping Zhou; Li-Yong Wang; Zhen-Hua Li; Yao-Nan Zhang; Yu-Xiang Zhang
Journal:  PLoS One       Date:  2012-08-10       Impact factor: 3.240

9.  Population-genetic analysis of HvABCG31 promoter sequence in wild barley (Hordeum vulgare ssp. spontaneum).

Authors:  Xiaoying Ma; Hanan Sela; Genlin Jiao; Chao Li; Aidong Wang; Mohammad Pourkheirandish; Dmitry Weiner; Shun Sakuma; Tamar Krugman; Eviatar Nevo; Takao Komatsuda; Abraham Korol; Guoxiong Chen
Journal:  BMC Evol Biol       Date:  2012-09-24       Impact factor: 3.260

10.  Unbiased proteomic analysis of proteins interacting with the HIV-1 5'LTR sequence: role of the transcription factor Meis.

Authors:  A Tacheny; S Michel; M Dieu; L Payen; T Arnould; P Renard
Journal:  Nucleic Acids Res       Date:  2012-08-16       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.