Physiol. Genomics -- Table of Contents (January 15 2004, 16 [2])

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Invited Reviews:

Patrick J. Stover: Nutritional genomics
Physiol. Genomics 16: 161-165, 2004; doi:10.1152/physiolgenomics.00204.2003 [Abstract] [Full Text] [PDF]

Jim Kaput and Raymond L. Rodriguez: Nutritional genomics: the next frontier in the postgenomic era
Physiol. Genomics 16: 166-177, 2004; doi:10.1152/physiolgenomics.00107.2003 [Abstract] [Full Text] [PDF]

News:

Carol Moreno and David M. Pollock: Understanding renal and cardiovascular function through physiological genomics
Physiol. Genomics 16: 178-179, 2004; doi:10.1152/physiolgenomics.00195.2003 [Full Text] [PDF]

Editorial Focus:

Amy O. Charkowski: Making sense of an alphabet soup: the use of a new bioinformatics tool for identification of novel gene islands. Focus on "Identification of genomic islands in the genome of Bacillus cereus by comparative analysis with Bacillus anthracis"
Physiol. Genomics 16: 180-181, 2004; doi:10.1152/physiolgenomics.00199.2003 [Full Text] [PDF]

Michael Olivier: From SNPs to function: the effect of sequence variation on gene expression. Focus on "A survey of genetic and epigenetic variation affecting human gene expression"
Physiol. Genomics 16: 182-183, 2004; doi:10.1152/physiolgenomics.00194.2003 [Full Text] [PDF]

Research Articles:

Tomi Pastinen, Robert Sladek, Scott Gurd, Alya’a Sammak, Bing Ge, Pierre Lepage, Karine Lavergne, Amelie Villeneuve, Tiffany Gaudin, Helena Brändström, Allon Beck, Andrei Verner, Jade Kingsley, Eef Harmsen, Damian Labuda, Kenneth Morgan, Marie-Claude Vohl, Anna K. Naumova, Daniel Sinnett, and Thomas J. Hudson: A survey of genetic and epigenetic variation affecting human gene expression
Physiol. Genomics 16: 184-193, 2004. First published October 28, 2003; doi:10.1152/physiolgenomics.00163.2003 [Abstract] [Full Text] [PDF] [Supplemental tables 1]

David L. Mattson, Mary Pat Kunert, Mary L. Kaldunski, Andrew S. Greene, Richard J. Roman, Howard J. Jacob, and Allen W. Cowley, Jr: Influence of diet and genetics on hypertension and renal disease in Dahl salt-sensitive rats
Physiol. Genomics 16: 194-203, 2004. First published November 4, 2003; doi:10.1152/physiolgenomics.00151.2003 [Abstract] [Full Text] [PDF]

Jerry M. Wright, Pamela L. Zeitlin, Liudmila Cebotaru, Sandra E. Guggino, and William B. Guggino: Gene expression profile analysis of 4-phenylbutyrate treatment of IB3-1 bronchial epithelial cell line demonstrates a major influence on heat-shock proteins
Physiol. Genomics 16: 204-211, 2004. First published October 28, 2003; doi:10.1152/physiolgenomics.00160.2003 [Abstract] [Full Text] [PDF] [Supplemental Tables]

Sally A. Madsen, Ling-Chu Chang, Mary-Clare Hickey, Guilherme J. M. Rosa, Paul M. Coussens, and Jeanne L. Burton: Microarray analysis of gene expression in blood neutrophils of parturient cows
Physiol. Genomics 16: 212-221, 2004. First published October 28, 2003; doi:10.1152/physiolgenomics.00121.2003 [Abstract] [Full Text] [PDF]

Despina Sanoudou, Peter B. Kang, Judith N. Haslett, Mei Han, Louis M. Kunkel, and Alan H. Beggs: Transcriptional profile of postmortem skeletal muscle
Physiol. Genomics 16: 222-228, 2004. First published November 18, 2003; doi:10.1152/physiolgenomics.00137.2003 [Abstract] [Full Text] [PDF] [Supplemental Data for: The transcriptional profile of postmortem skeletal muscle]

Fernando Dangond, Daehee Hwang, Sandra Camelo, Piera Pasinelli, Matthew P. Frosch, Gregory Stephanopoulos, George Stephanopoulos, Robert H. Brown, Jr., and Steven R. Gullans: Molecular signature of late-stage human ALS revealed by expression profiling of postmortem spinal cord gray matter
Physiol. Genomics 16: 229-239, 2004. First published November 25, 2003; doi:10.1152/physiolgenomics.00087.2001 [Abstract] [Full Text] [PDF]

Julie L. Lavoie, Martin D. Cassell, Kenneth W. Gross, and Curt D. Sigmund: Localization of renin expressing cells in the brain, by use of a REN-eGFP transgenic model
Physiol. Genomics 16: 240-246, 2004. First published November 18, 2003; doi:10.1152/physiolgenomics.00131.2003 [Abstract] [Full Text] [PDF]

Matthew S. Wong, R. Michael Raab, Isidore Rigoutsos, Gregory N. Stephanopoulos, and Joanne K. Kelleher: Metabolic and transcriptional patterns accompanying glutamine depletion and repletion in mouse hepatoma cells: a model for physiological regulatory networks
Physiol. Genomics 16: 247-255, 2004. First published November 11, 2003; doi:10.1152/physiolgenomics.00088.2003 [Abstract] [Full Text] [PDF]

J. Rico-Sanz, T. Rankinen, T. Rice, A. S. Leon, J. S. Skinner, J. H. Wilmore, D. C. Rao, and C. Bouchard: Quantitative trait loci for maximal exercise capacity phenotypes and their responses to training in the HERITAGE Family Study
Physiol. Genomics 16: 256-260, 2004. First published November 18, 2003; doi:10.1152/physiolgenomics.00035.2003 [Abstract] [Full Text] [PDF]

Petra Tollet-Egnell, Paolo Parini, Nina Ståhlberg, Ingrid Lönnstedt, Norman H. Lee, Mats Rudling, Amilcar Flores-Morales, and Gunnar Norstedt: Growth hormone-mediated alteration of fuel metabolism in the aged rat as determined from transcript profiles
Physiol. Genomics 16: 261-267, 2004. First published November 11, 2003; doi:10.1152/physiolgenomics.00093.2002 [Abstract] [Full Text] [PDF]

Stephanie R. Wesolowski, Nancy E. Raney, and Catherine W. Ernst: Developmental changes in the fetal pig transcriptome
Physiol. Genomics 16: 268-274, 2004; doi:10.1152/physiolgenomics.00167.2003 [Abstract] [Full Text] [PDF]

Tara G. McDaneld, Deana L. Hancock, and Diane E. Moody: Altered mRNA abundance of ASB15 and four other genes in skeletal muscle following administration of ß-adrenergic receptor agonists
Physiol. Genomics 16: 275-283, 2004. First published November 25, 2003; doi:10.1152/physiolgenomics.00127.2003 [Abstract] [Full Text] [PDF]

Cover Caption:

Cover

Cover: Gene discovery and the characterization of tissues based on microarray gene expression database mining and profiling. Top: portion of a Pearson correlation hierarchical tree clustering of genes and tissues using 269 "olfactorome" genes, so called based on their high relative expression in olfactory mucosa samples versus 81 different mouse tissue samples. Tissues and genes that share similar expression profiles are grouped on the same parent of their hierarchical tree branch. Each row represents a gene and each column a mouse tissue sample. Red indicates high expression, blue indicates low expression. Bottom: in vivo localization of highly expressed genes in the olfactory mucosa using in situ hybridization and immunohistochemical localization. In situ hybridization (left) demonstrates olfactory mucosa localization of Plunc mRNA, the gene with the highest relative expression in olfactory mucosa compared to all other tissues in the expression database (signal appears as punctate bright white foci). Enzyme activity measurements and immunohistochemical localization (right) confirmed high expression of Spgl1 (encoding sphingosine phosphate lyase), which had not been localized in olfactory mucosa previously. Strong staining is present within mature olfactory sensory neurons (red peri-nuclear reaction product). For further discussion, see article by Genter MB, Van Veldhoven PP, Jegga AG, Sakthivel B, Kong S, Stanley K, Witte DP, Ebert CL, and Aronow BJ. Microarray-based discovery of highly expressed olfactory mucosal genes: potential roles in the various functions of the olfactory system. Physiol Genomics 16: 67-81, 2003. First published October 21, 2003; 10.1152/physiolgenomics.00117.2003.