西亚试剂：A Predictive Model for Transcriptional Control of Physiolog

A Predictive Model for Transcriptional Control of Physiology in a Free Living Cell

Richard Bonneau,2,5,7 Marc T. Facciotti,1 David J. Reiss,1 Amy K. Schmid,1 Min Pan,1 Amardeep Kaur,1 Vesteinn Thorsson,1 Paul Shannon,1 Michael H. Johnson,1 J. Christopher Bare,1 William Longabaugh,1 Madhavi Vuthoori,1 Kenia Whitehead,1 Aviv Madar,2 Lena Suzuki,4 Tetsuya Mori,4 Dong-Eun Chang,4 Jocelyne DiRuggiero,3 Carl H. Johnson,4 Leroy Hood,1 and Nitin S. Baliga1,6,7,

1 Institute for Systems Biology, Seattle, WA 98103, USA
2 Center for Genomics & Systems Biology, New York University, New York, NY 10003, USA
3 University of Maryland, College Park, MD 20742, USA
4 Vanderbilt University, Nashville, TN 37240, USA
5 Courant Institute of Mathematical Sciences, Department of Computer Science, New York University, New York, NY 10003, USA
6 Departments of Microbiology and Molecular and Cellular Biology, University of Washington, Seattle, WA 98195, USA

Corresponding author
Nitin S. Baliga
nbaliga@systemsbiology.org

The environment significantly influences the dynamic expression and assembly of all components encoded in the genome of an organism into functional biological networks. We have constructed a model for this process in Halobacterium salinarum NRC-1 through the data-driven discovery of regulatory and functional interrelationships among ∼80% of its genes and key abiotic factors in its hypersaline environment. Using relative changes in 72 transcription factors and 9 environmental factors (EFs) this model accurately predicts dynamic transcriptional responses of all these genes in 147 newly collected experiments representing completely novel genetic backgrounds and environments—suggesting a remarkable degree of network completeness. Using this model we have constructed and tested hypotheses critical to this organism's interaction with its changing hypersaline environment. This study supports the claim that the high degree of connectivity within biological and EF networks will enable the construction of similar models for any organism from relatively modest numbers of experiments.

• 以上资料由西亚试剂：http://www.xiyashiji.com/ 提供此产品的详细信息如密度,含量,分子式,分子量等均可在西亚官网查询   
• 相关产品如汞乙酸汞氯化汞氧化汞碘化汞硫酸汞硝酸汞溴化汞硝酸亚汞氯化亚汞乙酸苯汞碘化汞钾硫氰酸汞氯化氨基汞三氯生三氯氧磷三氯乙烯水合氯醛三氯化磷三氯化钌三氯化钛三氯化铱三氯化铑三氯硫磷三氯乙烷三氯甲烷三氯卡班TCC1,3,5-三氯苯1,2,4-三氯苯1,2,3-三氯苯无水氯化铝三氯乙酸酐三氯乙酸钠碘甲烷二碘甲烷三碘甲烷 三氟碘甲烷硫酸二甲酯氯磺酸苯硫酚苯硫酚钠3-氨基苯硫酚2,6-二氯苯硫酚2,4-二氯苯硫酚2,5-二氯苯硫酚2-甲氧基苯硫酚2-氯乙醇 等均有销售.欢迎订购