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您的检索式：作者名="Danling Pan"
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| 1 | Trafficking abnormality and ER stress underlie functional deficiency of hearing impairmentassociated connexin-31 mutants显示文摘Hearing impairment(HI)affects 1/1000 children and over 2%of the aged population.We have previously reported that mutations in the gene encoding gap junction protein connexin-31(Cx31)are associated with HI.The pathological mechanism of the disease mutations remains unknown.Here,we show that expression of Cx31 in the mouse inner ear is developmentally regulated with a high level in adult inner hair cells and spiral ganglion neurons that are critical for the hearing process.In transfected cells,wild type Cx31 protein(Cx31wt)forms functional gap junction at cell-cell-contacts.In contrast,two HIassociated Cx31 mutants,Cx31R180X and Cx31E183K resided primarily in the ER and Golgi-like intracellular punctate structures,respectively,and failed to mediate lucifer yellow transfer.Expression of Cx31 mutants but not Cx31wt leads to upregulation of and increased association with the ER chaperone BiP indicating ER stress induction.Together,the HI-associated Cx31 mutants are impaired in trafficking,promote ER stress,and hence lose the ability to assemble functional gap junctions.The study reveals a potential pathological mechanism of HI-associated Cx31 mutations. | Kun Xia Hong Ma Hui Xiong Qian Pan Liangqun Huang Danling Wang Zhuohua Zhang | 2010 | Protein & Cell2010，1，10： | 3 |
| 2 | BiodMHC:an online server for the prediction of MHC class Ⅱ-peptide binding affinity显示文摘Effective identification of major histocompatibility complex (MHC) molecules restricted peptides is a critical step in discovering immune epitopes. Although many online servers have been built to predict class Ⅱ MHC-peptide binding affinity, they have been trained on different datasets, and thus fail in providing a unified comparison of various methods. In this paper, we present our implementation of seven popular predictive methods, namely SMM-align, ARB, SVR-pairwise, Gibbs sampler, ProPred, LP-top2, and MHCPred, on a single web server named BiodMHC (http://biod.whu.edu.cn/BiodMHC/index.html, the software is available upon request). Using a standard measure of AUC (Area Under the receiver operating characteristic Curves), we compare these methods by means of not only cross validation but also prediction on independent test datasets. We find that SMM-align, ProPred, SVR-pairwise, ARB, and Gibbs sampler are the five best-performing methods. For the binding affinity prediction of class Ⅱ MHC-peptide, BiodMHC provides a convenient online platform for researchers to obtain binding information simultaneously using various methods. | Lian Wang Danling Pan Xihao Hu Jinyu Xiao Yangyang Gao Huifang Zhang Yan Zhang Juan Liu Shanfeng Zhu | 2009 | Journal of Genetics and Genomics2009，36，5： | 0 |
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