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Identifying novel genes involved in both deer physiological and human pathological osteoporosis
Authors:Adrienn Borsy  János Podani  Viktor Stéger  Bernadett Balla  Arnold Horváth  János P Kósa  István Gyurján Jr  Andrea Molnár  Zoltán Szabolcsi  László Szabó  Eéna Jakó  Zoltán Zomborszky  János Nagy  Szabolcs Semsey  Tibor Vellai  Péter Lakatos  László Orosz
Institution:1. Department of Genetics, E?tv?s Loránd University, Pázmány Péter s. 1/c, 1117, Budapest, Hungary
2. Institute of Genetics, Agricultural Biotechnology Center, Szent-Gy?rgyi Albert u. 4, 2100, G?d?ll?, Hungary
4. E?tv?s Loránd University eScience Regional Knowledge Centre, E?tv?s Loránd University, Pázmány Péter s. 1/a, 1117, Budapest, Hungary
3. Department of Plant Taxonomy and Ecology, E?tv?s Loránd University, Pázmány Péter s. 1/c, 1117, Budapest, Hungary
5. 1st Department of Internal Medicine, Semmelweis University, Korányi Sándor u. 2/a, 1083, Budapest, Hungary
6. Department of Fish and Pet Animal Breeding, Faculty of Animal Science, University of Kaposvár, Guba Sándor u. 40, 7400, Kaposvár, Hungary
7. Deer Farm of the Pannonian Equestrian Academy, University of Kaposvár, Guba Sándor u. 40, 7400, Kaposvár, Hungary
Abstract:Osteoporosis attacks 10% of the population worldwide. Humans or even the model animals of the disease cannot recover from porous bone. Regeneration in skeletal elements is the unique feature of our newly investigated osteoporosis model, the red deer (Cervus elaphus) stag. Cyclic physiological osteoporosis is a consequence of the annual antler cycle. This phenomenon raises the possibility to identify genes involved in the regulation of bone mineral density on the basis of comparative genomics between deer and human. We compare gene expression activity of osteoporotic and regenerating rib bone samples versus autumn dwell control in red deer by microarray hybridization. Identified genes were tested on human femoral bone tissue from non-osteoporotic controls and patients affected with age-related osteoporosis. Expression data were evaluated by Principal Components Analysis and Canonical Variates Analysis. Separation of patients into a normal and an affected group based on ten formerly known osteoporosis reference genes was significantly improved by expanding the data with newly identified genes. These genes include IGSF4, FABP3, FABP4, FKBP2, TIMP2, TMSB4X, TRIB, and members of the Wnt signaling. This study supports that extensive comparative genomic analyses, here deer and human, provide a novel approach to identify new targets for human diagnostics and therapy. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.
Keywords:Bone metabolism  Interspecific microarray  Gene expression pattern  Real-time PCR
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