| Autor: |
Schmouth, Jean-François, Castellarin, Mauro, Laprise, Stéphanie, Banks, Kathleen G., Bonaguro, Russell J., McInerny, Simone C., Borretta, Lisa, Amirabbasi, Mahsa, Korecki, Andrea J., Portales-Casamar, Elodie, Wilson, Gary, Dreolini, Lisa, Jones, Steven J. M., Wasserman, Wyeth W., Goldowitz, Daniel, Robert A Holt, Simpson, Elizabeth M. |
| Předmět: |
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| Zdroj: |
BMC Biology; 2013, Vol. 11 Issue 1, p1-37, 37p |
| Abstrakt: |
Background The next big challenge in human genetics is understanding the 98% of the genome that comprises non-coding DNA. Hidden in this DNA are sequences critical for gene regulation, and new experimental strategies are needed to understand the functional role of generegulation sequences in health and disease. In this study, we build upon our HuGX (Highthroughput Human Genes on the X Chromosome) strategy to expand our understanding of human gene regulation in vivo. Results Ten human genes known to express in therapeutically important brain regions were chosen for study. For eight of these genes; human bacterial artificial chromosome clones were identified, retrofitted with a reporter, knocked single-copy into the Hprt locus in mouse embryonic stem cells, and mouse strains derived. Five of these human genes expressed in mouse, and all expressed in the adult brain region for which they were chosen. This defined the boundaries of the genomic DNA sufficient for brain expression, and refined our knowledge regarding the complexity of gene regulation. We also characterized for the first time the expression of human MAOA and NR2F2, two genes for which the mouse homologs have been extensively studied in the central nervous system (CNS), and AMOTL1 and NOV for which roles in CNS have been unclear. Conclusions We have demonstrated the use of the HuGX strategy to functionally delineate non-codingregulatory regions of therapeutically important human brain genes. Our results also show that a careful investigation, using publicly available resources and bioinformatics, can lead to accurate prediction of gene expression. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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