@article {700,
	title = {Characterizing regulation of metabolism in Geobacter sulfurreducens through genome-wide expression data and sequence analysis.},
	journal = {OMICS},
	volume = {12},
	year = {2008},
	month = {2008 Mar},
	pages = {33-59},
	abstract = {Geobacteraceae are a family of metal reducing bacteria with important applications in bioremediation and electricity generation. G. sulfurreducens is a representative of Geobacteraceae that has been extensively studied with the goal of extending the understanding of this family of organisms for optimizing their practical applications. Here, we have analyzed gene expression data from 10 experiments involving environmental and genetic perturbations and have identified putative transcription factor binding sites (TFBS) involved in regulating key aspects of metabolism. Specifically, we considered data from both a subset of 10 microarray experiments (7 of 10) and all 10 experiments. The expression data from these two sets were independently clustered, and the upstream regions of genes and operons from the clusters in both sets were used to identify TFBS using the AlignACE program. This analysis resulted in the identification of motifs upstream of several genes involved in central metabolism, sulfate assimilation, and energy metabolism, as well as genes potentially encoding acetate permease. Further, similar TFBS were identified from the analysis of both sets, suggesting that these TFBS are significant in the regulation of metabolism in G. sulfurreducens. In addition, we have utilized microarray data to derive condition specific constraints on the capacity of key enzymes in central metabolism. We have incorporated these constraints into the metabolic model of G. sulfurreducens and simulated Fe(II)-limited growth. The resulting prediction was consistent with data, suggesting that regulatory constraints are important for simulating growth phenotypes in nonoptimal environments.},
	keywords = {Gene Expression Regulation, Bacterial, Genome, Bacterial, Geobacter, Models, Genetic, Oligonucleotide Array Sequence Analysis, Sequence Analysis, DNA, Transcription, Genetic},
	issn = {1536-2310},
	doi = {10.1089/omi.2007.0043},
	author = {Mahadevan, Radhakrishnan and Yan, Bin and Postier, Brad and Nevin, Kelly P and Woodard, Trevor L and O{\textquoteright}Neil, Regina and Coppi, Maddalena V and Meth{\'e}, Barbara A and Krushkal, Julia}
}
@article {512,
	title = {Computational prediction of RpoS and RpoD regulatory sites in Geobacter sulfurreducens using sequence and gene expression information.},
	journal = {Gene},
	volume = {384},
	year = {2006},
	month = {2006 Dec 15},
	pages = {73-95},
	abstract = {RpoS, the sigma S subunit of RNA polymerase, is vital during the growth and survival of Geobacter sulfurreducens under conditions typically encountered in its native subsurface environments. We investigated the conservation of sites that may be important for RpoS function in G. sulfurreducens. We also employed sequence information and expression microarray data to predict G. sulfurreducens genome sites that may be related to RpoS regulation. Hierarchical clustering identified three clusters of significantly downregulated genes in the rpoS deletion mutant. The search for conserved overrepresented motifs in co-regulated operons identified likely -35 and -10 promoter elements upstream of a number of functionally important G. sulfurreducens operons that were downregulated in the rpoS deletion mutant. Putative -35/-10 promoter elements were also identified in the G. sulfurreducens genome using sequence similarity searches to matrices of -35/-10 promoter elements found in G. sulfurreducens and in Escherichia coli. Due to a sufficient degree of sequence similarity between -35/-10 promoter elements for RpoS, RpoD, and other sigma factors, both the sequence similarity searches and the search for conserved overrepresented motifs using microarray data may identify promoter elements for both RpoS and other sigma factors.},
	keywords = {Amino Acid Sequence, Bacterial Proteins, Base Sequence, Citrates, Computational Biology, Conserved Sequence, DNA-Directed RNA Polymerases, Escherichia coli, Escherichia coli Proteins, Gene Deletion, Gene Expression Profiling, Gene Expression Regulation, Bacterial, Genes, Bacterial, Genome, Bacterial, Geobacter, Molecular Sequence Data, Oligonucleotide Array Sequence Analysis, Operon, Promoter Regions, Genetic, Sigma Factor, Transcription, Genetic},
	issn = {0378-1119},
	doi = {10.1016/j.gene.2006.06.025},
	author = {Yan, Bin and N{\'u}{\~n}ez, Cinthia and Ueki, Toshiyuki and Esteve-N{\'u}{\~n}ez, Abraham and Puljic, Marko and Adkins, Ronald M and Meth{\'e}, Barbara A and Lovley, Derek R and Krushkal, Julia}
}
@article {550,
	title = {Computational prediction of conserved operons and phylogenetic footprinting of transcription regulatory elements in the metal-reducing bacterial family Geobacteraceae.},
	journal = {J Theor Biol},
	volume = {230},
	year = {2004},
	month = {2004 Sep 7},
	pages = {133-44},
	abstract = {Members of the family Geobacteraceae are an important group of microorganisms from the delta subdivision of Proteobacteria that couple the oxidation of organic compounds to metal reduction. In order to uncover transcription regulatory interactions in these organisms, we used computational methods to identify conserved operons and putative cis-regulatory transcription elements. We identified 26 putative operons with gene order and function conserved among two species of Geobacteraceae, Geobacter sulfurreducens and Geobacter metallireducens. Most of these operons were also conserved in Desulfovibrio vulgaris, an additional metal reducing organism from family Desulfovibrionaceae of the delta subdivision of Proteobacteria. The predicted conserved operons were investigated for the presence of transcription factor binding sites by two different methods, (i) comparison of non-coding regions in conserved operons, and (ii) neural network promoter prediction. Predicted motifs were screened to identify most likely transcription factor binding sites and ribosome-binding sites. We provide information on motifs in Geobacteraceae similar to known transcription factor binding sites in Escherichia coli, conserved motifs in other bacterial species, putative palindromic sites, and predicted ribosome-binding sites. These predictions will aid in further elucidation of regulatory networks of gene interactions in Geobacteraceae.},
	keywords = {Animals, Computational Biology, Conserved Sequence, DNA Footprinting, Genes, Regulator, Genome, Bacterial, Geobacter, Models, Genetic, Operon, Phylogeny},
	issn = {0022-5193},
	doi = {10.1016/j.jtbi.2004.04.022},
	author = {Yan, Bin and Meth{\'e}, Barbara A and Lovley, Derek R and Krushkal, Julia}
}
