Transcription Factor Networks in Drosophila melanogaster

被引:63
作者
Rhee, David Y. [1 ]
Cho, Dong-Yeon [2 ]
Zhai, Bo [1 ]
Slattery, Matthew [3 ]
Ma, Lijia [3 ]
Mintseris, Julian [1 ]
Wong, Christina Y. [1 ]
White, Kevin P. [3 ]
Celniker, Susan E. [4 ]
Przytycka, Teresa M. [2 ]
Gygi, Steven P. [1 ]
Obar, Robert A. [1 ]
Artavanis-Tsakonas, Spyros [1 ,5 ]
机构
[1] Harvard Univ, Sch Med, Dept Cell Biol, Boston, MA 02115 USA
[2] Natl Lib Med, Computat Biol Branch, Natl Ctr Biotechnol Informat, NIH, Bethesda, MD 20894 USA
[3] Univ Chicago, Inst Genom & Syst Biol, Chicago, IL 60637 USA
[4] Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Berkeley Drosophila Genome Project, Berkeley, CA 94720 USA
[5] Biogen Idec Inc, Cambridge, MA 02142 USA
关键词
DNA-BINDING SPECIFICITY; PROTEIN-INTERACTION MAP; EMBRYONIC STEM-CELLS; REGULATORY NETWORKS; FUNCTIONAL MODULES; GENETIC CIRCUITRY; MASS-SPECTROMETRY; GAGA FACTOR; NOTCH; EXPRESSION;
D O I
10.1016/j.celrep.2014.08.038
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Specific cellular fates and functions depend on differential gene expression, which occurs primarily at the transcriptional level and is controlled by complex regulatory networks of transcription factors (TFs). TFs act through combinatorial interactions with other TFs, cofactors, and chromatin-remodeling proteins. Here, we define protein-protein interactions using a coaffinity purification/mass spectrometry method and study 459 Drosophila melanogaster transcription-related factors, representing approximately half of the established catalog of TFs. We probe this network in vivo, demonstrating functional interactions for many interacting proteins, and test the predictive value of our data set. Building on these analyses, we combine regulatory network inference models with physical interactions to define an integrated network that connects combinatorial TF protein interactions to the transcriptional regulatory network of the cell. We use this integrated network as a tool to connect the functional network of genetic modifiers related to mastermind, a transcriptional cofactor of the Notch pathway.
引用
收藏
页码:2031 / 2043
页数:13
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