Biblio | College of Agricultural Sciences

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Filters: Keyword is Polymerase Chain Reaction and Author is Massimo Bionaz [Clear All Filters]

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J. J. Loor, Everts, R. E., Bionaz, M., Dann, H. M., Morin, D. E., Oliveira, R., Rodriguez-Zas, S. L., Drackley, J. K., and Lewin, H. A., “Nutrition-induced ketosis alters metabolic and signaling gene networks in liver of periparturient dairy cows.”, Physiol Genomics, vol. 32, no. 1, pp. 105-16, 2007.

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S. Tramontana, Bionaz, M., Sharma, A., Graugnard, D. E., Cutler, E. A., Ajmone-Marsan, P., Hurley, W. L., and Loor, J. J., “Internal controls for quantitative polymerase chain reaction of swine mammary glands during pregnancy and lactation.”, J Dairy Sci, vol. 91, no. 8, pp. 3057-66, 2008.

A. K. G. Kadegowda, Bionaz, M., Thering, B., Piperova, L. S., Erdman, R. A., and Loor, J. J., “Identification of internal control genes for quantitative polymerase chain reaction in mammary tissue of lactating cows receiving lipid supplements.”, J Dairy Sci, vol. 92, no. 5, pp. 2007-19, 2009.

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K. M. Moyes, Drackley, J. K., Morin, D. E., Bionaz, M., Rodriguez-Zas, S. L., Everts, R. E., Lewin, H. A., and Loor, J. J., “Gene network and pathway analysis of bovine mammary tissue challenged with Streptococcus uberis reveals induction of cell proliferation and inhibition of PPARgamma signaling..”, BMC Genomics, vol. 10, p. 542, 2009.

P. Piantoni, Bionaz, M., Graugnard, D. E., Daniels, K. M., Akers, M., and Loor, J. J., “Gene expression ratio stability evaluation in prepubertal bovine mammary tissue from calves fed different milk replacers reveals novel internal controls for quantitative polymerase chain reaction.”, J Nutr, vol. 138, no. 6, pp. 1158-64, 2008.

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P. Piantoni, Bionaz, M., Graugnard, D. E., Daniels, K. M., Everts, R. E., Rodriguez-Zas, S. L., Lewin, H. A., Hurley, H. L., Akers, M., and Loor, J. J., “Functional and gene network analyses of transcriptional signatures characterizing pre-weaned bovine mammary parenchyma or fat pad uncovered novel inter-tissue signaling networks during development.”, BMC Genomics, vol. 11, p. 331, 2010.