Regulation by transcription factors in bacteria: beyond description

被引:140
作者
Balleza, Enrique [1 ]
Lopez-Bojorquez, Lucia N. [1 ]
Martinez-Antonio, Agustino
Resendis-Antonio, Osbaldo [2 ]
Lozada-Chavez, Irma [1 ]
Balderas-Martinez, Yalbi I. [1 ]
Encarnacion, Sergio [2 ]
Collado-Vides, Julio [1 ]
机构
[1] Univ Nacl Autonoma Mexico, Ctr Ciencias Genom, Programa Genom Computac, Cuernavaca 62210, Morelos, Mexico
[2] Univ Nacl Autonoma Mexico, Ctr Ciencias Genom, Programa Genom Func Procariotes, Cuernavaca 62210, Morelos, Mexico
关键词
regulatory network inference; regulatory network plasticity; chromosome structure; dynamical models of regulatory networks; regulatory network; STOCHASTIC GENE-EXPRESSION; GENOME-WIDE ANALYSIS; LOW-GC-CONTENT; ESCHERICHIA-COLI; NETWORK MOTIFS; RNA-POLYMERASE; SIGMA-FACTORS; SIGNAL-TRANSDUCTION; METABOLIC NETWORKS; SENSING MACHINERY;
D O I
10.1111/j.1574-6976.2008.00145.x
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Transcription is an essential step in gene expression and its understanding has been one of the major interests in molecular and cellular biology. By precisely tuning gene expression, transcriptional regulation determines the molecular machinery for developmental plasticity, homeostasis and adaptation. In this review, we transmit the main ideas or concepts behind regulation by transcription factors and give just enough examples to sustain these main ideas, thus avoiding a classical ennumeration of facts. We review recent concepts and developments: cis elements and trans regulatory factors, chromosome organization and structure, transcriptional regulatory networks (TRNs) and transcriptomics. We also summarize new important discoveries that will probably affect the direction of research in gene regulation: epigenetics and stochasticity in transcriptional regulation, synthetic circuits and plasticity and evolution of TRNs. Many of the new discoveries in gene regulation are not extensively tested with wetlab approaches. Consequently, we review this broad area in Inference of TRNs and Dynamical Models of TRNs. Finally, we have stepped backwards to trace the origins of these modern concepts, synthesizing their history in a timeline schema.
引用
收藏
页码:133 / 151
页数:19
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