Juan J. Loor
Associate Professor
Animal Sciences
University of Illinois at urbana champaign
United States of America
Biography
He has done his Ph.D., 2001, Virginia Polytechnic Institute and State University, Blacksburg, M.S., 1997, Virginia Polytechnic Institute and State University, Blacksburg B.S., 1995, University of California, Davis. currently he is an Associate Professor of Animal Sciences and Division of Nutritional Sciences, Department of Animal Sciences, University of Illinois, Urbana.
Research Interest
Systems biology; molecular nutrition; genomics; metabolomics; bioinformatics; nutritional programming of adipose tissue; mammary gland development; lipid metabolism; conjugated linoleic acids (CLA); nutritional and physiological genomics; comparative genomics; regulation of milk fat and protein synthesis; nutritional regulation of muscle development.My research program focuses on the study of how nutrition, physiological state and their interaction affect tissue function and metabolic adaptations through alterations in the transcriptome, i.e. mRNA expression profiles. We rely heavily on cutting-edge technologies such as microarrays, DNA sequencing, quantitative RT-PCR, and bioinformatics to generate biologically-meaningful data. The integration of these data sets is at the core of our Systems Biology efforts in Nutritional Sciences. We use large animals as primary models but also perform more fundamental studies with animal tissue cell lines or explant cultures. Through the use of high-throughput techniques and bioinformatics we intend to identify genes that might be associated with susceptibility to immune and metabolic diseases (e.g. hepatic steatosis, mastitis) and also to developing obesity. Genetics, Genomics, and Bioinformatics Nutrition
Publications
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McCann JC, Wickersham TA, Loor JJ. 2014. High-throughput Methods Redefine the Rumen Microbiome and Its Relationship with Nutrition and Metabolism. Bioinform Biol Insights. 8:109-25.
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Naeem A, Drackley JK, Lanier JS, Everts RE, Rodriguez-Zas SL, Loor JJ. 2014. Ruminal epithelium transcriptome dynamics in response to plane of nutrition and age in young Holstein calves. Funct Integr Genomics. 14:261-73.
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Naeem A, Drackley JK, Lanier JS, Everts RE, Rodriguez-Zas SL, Loor JJ. 2014. Ruminal epithelium transcriptome dynamics in response to plane of nutrition and age in young Holstein calves. Funct Integr Genomics. 14:261-73.
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Moisa, S.J., D. W. Shike, D. E. Graugnard, S. L. Rodriguez-Zas, R. E. Everts, H. A. Lewin, d. B. Faulkner, L. L. Berger, and J. J. Loor. 2013. Bioinformatics analysis of transcriptome dynamics during growth in Angus cattle longissimus muscle. Bioinformatics and Biology Insights 7: 253-270.
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Osorio, J.S., P. Ji, J. K. Drackley, D. Luchini, and J. J. Loor. 2013. Supplemental Smartamine M or MetaSmart during the transition period benefits postpartal cow performance and blood neutrophil function. Journal of Dairy Science 96: 6248-6263.
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Bionaz, M., S. Chen, M.J. Khan, and J.J. Loor. 2013. Functional Role of PPARs in Ruminants: Potential Targets for Fine-Tuning Metabolism during Growth and Lactation. PPAR Research 2013:684159.
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Bionaz, M., K. Periasamy, S.L. Rodriguez-Zas, W.L. Hurley, and J.J. Loor. 2012. A novel dynamic impact approach (DIA) for functional analysis of time-course omics studies: validation using the bovine mammary transcriptome. PLoS One 7:e32455.
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Bionaz, M., K. Periasamy, S.L. Rodriguez-Zas, R.E. Everts, H.A. Lewin, W.L. Hurley, and J.J. Loor. 2012. Old and new stories: revelations from functional analysis of the bovine mammary transcriptome during the lactation cycle. PLoS One 7:e33268.
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Bionaz, M., B.J. Thering, and J.J. Loor. 2011. Fine metabolic regulation in ruminants via nutrient-gene interactions: saturated long-chain fatty acids increase expression of genes involved in lipid metabolism and immune response partly through PPAR-α activation. British Journal of Nutrition 107:179-191.
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Bionaz, M., and J.J. Loor. 2011. Gene networks driving bovine mammary protein synthesis during the lactation cycle. Bioinformatics and Biology Insights 5:83-98.
