Literature DB >> 18191937

Integrated approaches to uncovering transcription regulatory networks in mammalian cells.

Kai Tan1, Jesper Tegner, Timothy Ravasi.   

Abstract

Integrative systems biology has emerged as an exciting research approach in molecular biology and functional genomics that involves the integration of genomics, proteomics, and metabolomics datasets. These endeavors establish a systematic paradigm by which to interrogate, model, and iteratively refine our knowledge of the regulatory events within a cell. Here we review the latest technologies available to collect high-throughput measurements of a cellular state as well as the most successful methods for the integration and interrogation of these measurements. In particular we will focus on methods available to infer transcription regulatory networks in mammals.

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Year:  2008        PMID: 18191937     DOI: 10.1016/j.ygeno.2007.11.005

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  20 in total

Review 1.  Quantitative microscopy and systems biology: seeing the whole picture.

Authors:  Peter J Verveer; Philippe I H Bastiaens
Journal:  Histochem Cell Biol       Date:  2008-10-01       Impact factor: 4.304

Review 2.  Minireview: the SRC family of coactivators: an entrée to understanding a subset of polygenic diseases?

Authors:  David M Lonard; Rakesh Kumar; Bert W O'Malley
Journal:  Mol Endocrinol       Date:  2009-10-21

3.  Comparison of the cytokine and chemokine dynamics of the early inflammatory response in models of burn injury and infection.

Authors:  Mehmet A Orman; Tung T Nguyen; Marianthi G Ierapetritou; Francois Berthiaume; Ioannis P Androulakis
Journal:  Cytokine       Date:  2011-06-08       Impact factor: 3.861

4.  An Empirical Prior Improves Accuracy for Bayesian Estimation of Transcription Factor Binding Site Frequencies within Gene Promoters.

Authors:  Stephen A Ramsey
Journal:  Bioinform Biol Insights       Date:  2016-10-25

Review 5.  Building the developmental oculome: systems biology in vertebrate eye development and disease.

Authors:  Salil A Lachke; Richard L Maas
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010 May-Jun

6.  Antiviral response dictated by choreographed cascade of transcription factors.

Authors:  Elena Zaslavsky; Uri Hershberg; Jeremy Seto; Alissa M Pham; Susanna Marquez; Jamie L Duke; James G Wetmur; Benjamin R Tenoever; Stuart C Sealfon; Steven H Kleinstein
Journal:  J Immunol       Date:  2010-02-17       Impact factor: 5.422

Review 7.  Breast tumor metastasis: analysis via proteomic profiling.

Authors:  Steve Goodison; Virginia Urquidi
Journal:  Expert Rev Proteomics       Date:  2008-06       Impact factor: 3.940

8.  An atlas of combinatorial transcriptional regulation in mouse and man.

Authors:  Timothy Ravasi; Harukazu Suzuki; Carlo Vittorio Cannistraci; Shintaro Katayama; Vladimir B Bajic; Kai Tan; Altuna Akalin; Sebastian Schmeier; Mutsumi Kanamori-Katayama; Nicolas Bertin; Piero Carninci; Carsten O Daub; Alistair R R Forrest; Julian Gough; Sean Grimmond; Jung-Hoon Han; Takehiro Hashimoto; Winston Hide; Oliver Hofmann; Atanas Kamburov; Mandeep Kaur; Hideya Kawaji; Atsutaka Kubosaki; Timo Lassmann; Erik van Nimwegen; Cameron Ross MacPherson; Chihiro Ogawa; Aleksandar Radovanovic; Ariel Schwartz; Rohan D Teasdale; Jesper Tegnér; Boris Lenhard; Sarah A Teichmann; Takahiro Arakawa; Noriko Ninomiya; Kayoko Murakami; Michihira Tagami; Shiro Fukuda; Kengo Imamura; Chikatoshi Kai; Ryoko Ishihara; Yayoi Kitazume; Jun Kawai; David A Hume; Trey Ideker; Yoshihide Hayashizaki
Journal:  Cell       Date:  2010-03-05       Impact factor: 41.582

9.  Detection of interacting transcription factors in human tissues using predicted DNA binding affinity.

Authors:  Alena Myšičková; Martin Vingron
Journal:  BMC Genomics       Date:  2012-01-17       Impact factor: 3.969

10.  Incorporating existing network information into gene network inference.

Authors:  Scott Christley; Qing Nie; Xiaohui Xie
Journal:  PLoS One       Date:  2009-08-27       Impact factor: 3.240

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