L. L. Guan

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Obesity and metabolic syndromes are examples whereby excess energy consumption and energy flux disruptions are causative agents of increased fatness. Because other, as yet elucidated, cellular factors may be involved and because potential treatments of these metabolic problems involve systemic agents that are not adipose depot-specific in their actions,(More)
OBJECTIVE To evaluate the surgical efficiency of treating the intertrochanteric hip fracture with the Gamma nail fixation and to compare two operating methods of the Gamma nail fixation. METHODS From August 2000 to August 2006, 69 patients (32 males, 37 females; age, 43-98 years;average, 72.3 years) with the intertrochanteric hip fracture but with no(More)
Our previous genome-wide association study in sheep revealed that OAR3-84073899.1 (SNP31) in intron 8 of the CAMKMT gene was significantly associated with post-weaning gain at the genomic level. Herein, we performed a replication study to investigate single nucleotide polymorphisms (SNPs) within the CAMKMT gene exons, and 1000 bp of the 5'- and(More)
Fatty acid composition of muscle is an important trait contributing to meat quality. Recently, genome-wide association study (GWAS) has been extensively used to explore the molecular mechanism underlying important traits in cattle. In this study, we performed GWAS using high density SNP array to analyze the association between SNPs and fatty acids and(More)
Intramuscular fat deposition or marbling is essential for high quality beef. The molecular mechanism of adipogenesis in skeletal muscle remains largely unknown. In this study, we isolated Platelet-derived growth factor receptor α (PDGFRα) positive progenitor cells from fetal bovine skeletal muscle and induced into adipocytes. Using miRNAome sequencing, we(More)
Genomic selection has been widely used for complex quantitative trait in farm animals. Estimations of breeding values for slaughter traits are most important to beef cattle industry, and it is worthwhile to investigate prediction accuracies of genomic selection for these traits. In this study, we assessed genomic predictive abilities for average daily gain(More)
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