Association of SNP Haplotypes at the Myostatin Gene with Muscular Hypertrophy in Sheep

Gan, S.Q.,Du, Z.,Liu, S.R.,Yang, Y.L.,Shen, M.,Wang, X.H.,Yin, J.L.,Hu, X.X.,Fei, J.,Fan, J.J.,Wang, J.H.,He, Q.H.,Zhang, Y.S.,Li, N. Asian Australasian Association of Animal Productio 2008 Animal Bioscience Vol.21 No.7

The myostatin gene of seven important meat (Beltex (Australia), Beltex$\times$Huyang (F1), Meat and Multi-Prolific Chinese Merino Fine Wool, Meat Chinese Merino Fine Wool and Dorper (South Africa)) and non-meat (Huyang and Kazak) sheep breeds was analyzed to study the genetic basis of muscular hypertrophy (double muscling) phenotype in sheep. SNPs, four in regulatory regions and several in the introns in the myostatin gene, were identified, and the former four SNPs were used for further studies. Twelve haplotypes were predicted by PHASE program, of which four main haplotypes (1, 3, 7, 9) were present in 90% of the 364 sheep in the study. Haplotypes 1-4 were mainly present in meat breeds while haplotypes 7 and 9 dominated the non-meat breeds. The association between haplotypes and average daily gain (ADG) was analyzed among 116 sheep with production data, Haplo2 (CGAA) and Haplo8 (TGAA) were identified to have significant (p<0.05) effect on ADG by the model (JMP5.1 software) taking into account the effects of breed, family background, haplotype, birth weight and sex. ADG of these haplotype groups also correlated well (r = 0.82) with hypertrophic phenotype scores. In conclusion, the mutations -956 (T$\rightarrow$C), -41 (C$\rightarrow$A) and 6223 (G$\rightarrow$A) involved in Haplo2 and 8 may be associated with the double-muscling trait by influencing myostatin function and be suitable markers in selecting meat sheep.

Identification of Prostate Cancer LncRNAs by RNA-Seq

Hu, Cheng-Cheng,Gan, Ping,Zhang, Rui-Ying,Xue, Jin-Xia,Ran, Long-Ke Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.21

Purpose: To identify prostate cancer lncRNAs using a pipeline proposed in this study, which is applicable for the identification of lncRNAs that are differentially expressed in prostate cancer tissues but have a negligible potential to encode proteins. Materials and Methods: We used two publicly available RNA-Seq datasets from normal prostate tissue and prostate cancer. Putative lncRNAs were predicted using the biological technology, then specific lncRNAs of prostate cancer were found by differential expression analysis and co-expression network was constructed by the weighted gene co-expression network analysis. Results: A total of 1,080 lncRNA transcripts were obtained in the RNA-Seq datasets. Three genes (PCA3, C20orf166-AS1 and RP11-267A15.1) showed a significant differential expression in the prostate cancer tissues, and were thus identified as prostate cancer specific lncRNAs. Brown and black modules had significant negative and positive correlations with prostate cancer, respectively. Conclusions: The pipeline proposed in this study is useful for the prediction of prostate cancer specific lncRNAs. Three genes (PCA3, C20orf166-AS1, and RP11-267A15.1) were identified to have a significant differential expression in prostate cancer tissues. However, there have been no published studies to demonstrate the specificity of RP11-267A15.1 in prostate cancer tissues. Thus, the results of this study can provide a new theoretic insight into the identification of prostate cancer specific genes.

STABILITY OF THE MILSTEIN METHOD FOR STOCHASTIC DIFFERENTIAL EQUATIONS WITH JUMPS

Hu, Lin,Gan, Siqing The Korean Society for Computational and Applied M 2011 Journal of applied mathematics & informatics Vol.29 No.5

In this paper the Milstein method is proposed to approximate the solution of a linear stochastic differential equation with Poisson-driven jumps. The strong Milstein method and the weak Milstein method are shown to capture the mean square stability of the system. Furthermore using some technique, our result shows that these two kinds of Milstein methods can well reproduce the stochastically asymptotical stability of the system for all sufficiently small time-steps. Some numerical experiments are given to demonstrate the conclusions.

Nrf2 Overexpression Predicts Prognosis and 5-FU Resistance in Gastric Cancer

Hu, Xiu-Feng,Yao, Jun,Gao, She-Gan,Wang, Xin-Shuai,Peng, Xiu-Qing,Yang, Yan-Tong,Feng, Xiao-Shan Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.9

Objective: NF-E2-related factor 2 (Nrf2) is activated in several human malignancies. However, the role of Nrf2 in gastric cancer (GC) remains incompletely understood. In this study, we therefore analyzed associations of Nrf2 expression status with clinical features and chemotherapeutic resistance in GC. Materials and Methods: A total of 186 samples from GC patients who underwent gastrectomy were used for prognostic assessment. A further 142 samples from GC cases who received first-line combination chemotherapy were applied for investigation of chemoresistance. The Nrf2 expression was evaluated by immunohistochemistry in GC samples, and its relationship with clinicopathological parameters and chemotherapy sensitivity was analyzed. The effect of Nrf2 gene silencing on chemotherapy resistance was also examined by cell viability assay in vivo. Results: Of the 186 patients with GC, 104/186 (55.9%) showed high expression for Nrf2. The overexpression of Nrf2 was an independent predictor of overall survival [OS, hazard ratio (HR) 3.9; P=0.011] and disease-free survival (DFS, HR 4.3; P=0.002). The gene silencing of Nrf2 reduced resistance to cell death induced by 5-FU in GC cell lines. Conclusion: Our data show that Nrf2 is an independent prognostic factor in GC. Furthermore, Nrf2 confers resistance to chemotherapeutic drug 5-FU in GC cells. Taken together, Nrf2 is a potential prognostic marker and predictive for 5-FU resistance in GC.

STABILITY OF THE MILSTEIN METHOD FOR STOCHASTIC DIFFERENTIAL EQUATIONS WITH JUMPS

Liu Hu,Siqing Gan 한국전산응용수학회 2011 Journal of applied mathematics & informatics Vol.29 No.5

In this paper the Milstein method is proposed to approximate the solution of a linear stochastic differential equation with Poisson-driven jumps. The strong Milstein method and the weak Milstein method are shown to capture the mean square stability of the system. Furthermore using some technique, our result shows that these two kinds of Milstein methods can well reproduce the stochastically asymptotical stability of the system for all suffciently small time-steps. Some numerical experiments are given to demonstrate the conclusions.

An adaptive deviation-resistant neutron spectrum unfolding method based on transfer learning

Cao, Chenglong,Gan, Quan,Song, Jing,Yang, Qi,Hu, Liqin,Wang, Fang,Zhou, Tao Korean Nuclear Society 2020 Nuclear Engineering and Technology Vol.52 No.11

Neutron spectrum is essential to the safe operation of reactors. Traditional online neutron spectrum measurement methods still have room to improve accuracy for the application cases of wide energy range. From the application of artificial neural network (ANN) algorithm in spectrum unfolding, its accuracy is difficult to be improved for lacking of enough effective training data. In this paper, an adaptive deviation-resistant neutron spectrum unfolding method based on transfer learning was developed. The model of ANN was trained with thousands of neutron spectra generated with Monte Carlo transport calculation to construct a coarse-grained unfolded spectrum. In order to improve the accuracy of the unfolded spectrum, results of the previous ANN model combined with some specific eigenvalues of the current system were put into the dataset for training the deeper ANN model, and fine-grained unfolded spectrum could be achieved through the deeper ANN model. The method could realize accurate spectrum unfolding while maintaining universality, combined with detectors covering wide energy range, it could improve the accuracy of spectrum measurement methods for wide energy range. This method was verified with a fast neutron reactor BN-600. The mean square error (MSE), average relative deviation (ARD) and spectrum quality (Qs) were selected to evaluate the final results and they all demonstrated that the developed method was much more precise than traditional spectrum unfolding methods.

IMPROVED PERTURBATION BOUND FOR ROBUST STABILITY IN LINEAR SYSTEM

Zhao, Zhang,Gan, Zhao Chan,Zhang, Hu Heng 대한전자공학회 1992 HICEC:Harbin International Conference on Electroni Vol.1 No.1

The problem of robust stability of linear systems is investigated in time domain in this paper. For an asymptotically stable linear system, the maximum allowable perturbation bound (under which the system remains stable) is obtained by using Lyapunov method. A numerical example is given to show the perturbation bound obtained is better than ones in some literatures.

Implantation of Bone Marrow Mesenchymal Stem Cells into Small Intestinal Submucosa Improves Bile Duct Injury in Rabbits

Li Ying,Wang Piao,Hu Xiao-dong,Zeng Jing-da,Fang Cheng,Gan Yu,Peng Fang-yi,Yang Xiao-li,Luo De,Li Bo,Su Song 한국조직공학과 재생의학회 2021 조직공학과 재생의학 Vol.18 No.5

BACKGROUND: Bile duct injury (BDI), which may occur during cholecystectomy procedures and living-donor liver transplantation, leads to life-altering complications and significantly increased mortality and morbidity. Tissue engineering, as an emerging method, has shown great potential to treat BDI. Here, we aimed to explore the application of small intestinal submucosa (SIS) matrix composites with bone marrow mesenchymal stem cells (BMSCs) to treat BDI in a rabbit model. METHODS: Rabbit-derived BMSCs were used as seed cells. Porcine SIS was used as the support material. Five centimetres of the common bile duct was dissected, and 1/3–1/2 of the anterior wall diameter was transversely incised to construct the rabbit BDI model. Then, SIS materials without/with BMSCs were inserted into the common bile duct of the BDI rabbits. After 1, 2, 4, and 8 weeks of implantation, the common bile duct was removed. Haematoxylin and eosin (HE) staining was used to assess pathological alterations in the common bile duct, while immunohistochemical staining and western blotting were used to detect expression of the epithelial cell markers CK19 and E-cadherin. Scanning electron microscopy was used to evaluate BMSC growth. RESULTS: Compared with BMSCs alone, SIS-attached BMSCs had increased growth. HE staining showed that the injured bile duct healed well and that the complex gradually degraded as the time from implantation increased. Immunohistochemical staining and western blotting showed that compared with the control group, the in vivo complex group had significantly elevated expression levels of CK19 and E-cadherin. CONCLUSION: BMSC implantation into SIS could improve BDI in rabbits, which might have clinical value for BDI treatment. BACKGROUND: Bile duct injury (BDI), which may occur during cholecystectomy procedures and living-donor liver transplantation, leads to life-altering complications and significantly increased mortality and morbidity. Tissue engineering, as an emerging method, has shown great potential to treat BDI. Here, we aimed to explore the application of small intestinal submucosa (SIS) matrix composites with bone marrow mesenchymal stem cells (BMSCs) to treat BDI in a rabbit model. METHODS: Rabbit-derived BMSCs were used as seed cells. Porcine SIS was used as the support material. Five centimetres of the common bile duct was dissected, and 1/3–1/2 of the anterior wall diameter was transversely incised to construct the rabbit BDI model. Then, SIS materials without/with BMSCs were inserted into the common bile duct of the BDI rabbits. After 1, 2, 4, and 8 weeks of implantation, the common bile duct was removed. Haematoxylin and eosin (HE) staining was used to assess pathological alterations in the common bile duct, while immunohistochemical staining and western blotting were used to detect expression of the epithelial cell markers CK19 and E-cadherin. Scanning electron microscopy was used to evaluate BMSC growth. RESULTS: Compared with BMSCs alone, SIS-attached BMSCs had increased growth. HE staining showed that the injured bile duct healed well and that the complex gradually degraded as the time from implantation increased. Immunohistochemical staining and western blotting showed that compared with the control group, the in vivo complex group had significantly elevated expression levels of CK19 and E-cadherin. CONCLUSION: BMSC implantation into SIS could improve BDI in rabbits, which might have clinical value for BDI treatment.

Comparison of long-term effects of egg yolk consumption under normal and high fat diet on lipid metabolism and fatty acids profile in mice

Zhihui Yu,Ning Wang,Gan Hu,Meihu Ma 한국식품과학회 2019 Food Science and Biotechnology Vol.28 No.4

This study compared the long-term effects of EYconsumption under two diet conditions: normal (ND ?EY) and high fat diet (HFD ? EY), on lipid metabolism inmice. ND ? EY did not increase serum triglycerides, totalcholesterol hepatic triglyceride concentrations, adiposetissue accumulation and glucose impairment, not leading tofatty liver. HFD ? EY markedly decreased adipose tissueaccumulation, the triglyceride and total cholesterol, andimproved serum HDL-C and blood glucose impairmentcompared with HFD. PLS-DA analyzes showed bothND ? EY and HFD ? EY could decrease serum C18:1and MUFA. HFD ? EY could further decrease hepaticC18:2 and PUFA and increase C18:1 and MUFA excretion,which were associated with lower expression of Elovl6 andhigher expression of Scd1 in liver. These results suggestthat HFD ? EY significantly improved dyslipidemiacaused by HFD through modifying lipid metabolism, andND ? EY did not adversely affect the biomarkersassociated with dyslipidemia risk, but showed less obviousregulation of lipid metabolism than HFD ? EY.

A comparative study of the dendritic avalanche in MgB2 thin films synthesized by pulsed laser deposition and hybrid physical chemical vapor deposition methods

Lee, Jae-Yeap,Lee, Hu-Jong,Lee, Sung-Ik,Zhuang, C. G.,Wang, Y. Z.,Feng, Q. R.,Gan, Z. Z.,Xi, X. X.,Choi, Eun-Mi,Cho, Jae-Hun,Jo, Young-Hun American Institute of Physics 2009 JOURNAL OF APPLIED PHYSICS - Vol.105 No.8