Isolation and characterization of the promoter region of the chicken N-cadherin gene
GENE
Authors: Li, B; Paradies, NE; Brackenbury, RW
Abstract
N-cadherin (CDH2) is a member of the cadherin family of Ca2+-dependent cell-cell adhesion molecules. To investigate mechanisms controlling CDH2 transcription, we isolated and analyzed a genomic DNA sequence containing 2.8 kb of 5' flanking region and the first two exons of chicken CDH2. Sequence analysis of the promoter region of CDH2 revealed no CCATT or TATA boxes, but showed a high overall GC content, high CpG dinucleotide content, and several consensus Sp1 and Ap2 binding sequences. When fused to the cat reporter gene in transient transfection experiments, the sequence from positions -3231 to -118 (relative to the translation start site) directed high-level expression in CDH2-expressing chicken primary retinal cells and mouse N2A cells, but was much less active in chicken embryonic fibroblast cells and mouse 3T3 cells which do not express CDH2. Similarly, this promoter fragment directed variable, but neuronal-specific, expression of reporter genes in adult transgenic mice, but failed to produce the correct pattern of expression in other tissues, implying that additional sequences further upstream and/or within introns of CDH2 may play important roles in the transcriptional control. (C) 1997 Elsevier Science B.V.
Large-Scale In Silico Mapping of Complex Quantitative Traits in Inbred Mice
PLOS ONE
Authors: Liu, Pengyuan; Vikis, Haris; Lu, Yan; Wang, Daolong; You, Ming
Abstract
Understanding the genetic basis of common disease and disease-related quantitative traits will aid in the development of diagnostics and therapeutics. The processs of gene discovery can be sped up by rapid and effective integration of well-defined mouse genome and phenome data resources. We describe here an in silico gene-discovery strategy through genome-wide association (GWA) scans in inbred mice with a wide range of genetic variation. We identified 937 quantitative trait loci (QTLs) from a survey of 173 mouse phenotypes, which include models of human disease (atherosclerosis, cardiovascular disease, cancer and obesity) as well as behavioral, hematological, immunological, metabolic, and neurological traits. 67% of QTLs were refined into genomic regions <0.5 Mb with similar to 40-fold increase in mapping precision as compared with classical linkage analysis. This makes for more efficient identification of the genes that underlie disease. We have identified two QTL genes, Adam12 and Cdh2, as causal genetic variants for atherogenic diet-induced obesity. Our findings demonstrate that GWA analysis in mice has the potential to resolve multiple tightly linked QTLs and achieve single-gene resolution. These high-resolution QTL data can serve as a primary resource for positional cloning and gene identification in the research community.