Showing results (181-190 of 298) with videos related to
Sort By:
Pageof 30
Proceedings of the National Academy of Sciences of the United States of America|October 1, 1984
Time-dependent conversion of alpha 1- to beta-adrenoceptor-mediated glycogenolysis in isolated rat liver cells: role of membrane phospholipase A2G Kunos, F Hirata, E J Ishac, et al.The American Journal of Physiology|May 1, 1981
Adrenoceptor desensitization after immobilization stress or repeated injection of isoproterenolI Yamaguchi, T Torda, F Hirata, et al.The Journal of Allergy and Clinical Immunology|August 1, 1985
Adrenergic receptors: possible mechanism of inverse regulation of alpha- and beta-receptorsG Kunos, I Kunos, F Hirata, et al.Early Pregnancy : Biology and Medicine : the Official Journal of the Society for the Investigation of Early Pregnancy|March 23, 1999
Human endometrial decidual cell-associated 11 beta-hydroxysteroid dehydrogenase expression: its potential role in implantationF Arcuri, S Battistini, V Hausknecht, et al.The Journal of Clinical Endocrinology and Metabolism|November 4, 2000
Effects of norplant on endometrial tissue factor expression and blood vessel structureR Runic, F Schatz, L Wan, et al.Phytochemistry|January 15, 2005
Isolation and structural identification of diarabinosyl 8-O-4-dehydrodiferulate from maize bran insoluble fibreElla Allerdings, John Ralph, Paul F Schatz, et al.Molecular Endocrinology (Baltimore, Md.)|March 9, 2000
Regulation of tissue factor gene expression in human endometrium by transcription factors Sp1 and Sp3G Krikun, F Schatz, N Mackman, et al.The Journal of Clinical Endocrinology and Metabolism|September 1, 1994
Biological mechanisms underlying RU 486 clinical effects: inhibition of endometrial stromal cell tissue factor contentC J Lockwood, G Krikun, C Papp, et al.The Journal of Clinical Endocrinology and Metabolism|January 1, 1997
Biological mechanisms underlying the clinical effects of RU 486: modulation of cultured endometrial stromal cell stromelysin-1 and prolactin expressionF Schatz, C Papp, S Aigner, et al.Nature Communications|May 29, 2021
Robust learning from noisy, incomplete, high-dimensional experimental data via physically constrained symbolic regressionPatrick A K Reinbold, Logan M Kageorge, Michael F Schatz, et al.Pageof 30