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| 1 | The heterogeneity of islet autoantibodies and the progression of islet failure in type 1 diabetic patients显示文摘Type 1 diabetes mellitus is heterogeneous in many facets. The patients suffered from type 1 diabetes present several levels of islet function as well as variable number and type of islet-specific autoantibodies. This study was to investigate prevalence and heterogeneity of the islet autoantibodies and clinical phenotypes of type 1 diabetes mellitus; and also discussed the process of islet failure and its risk factors in Chinese type 1 diabetic patients. A total of 1,291 type 1 diabetic patients were enrolled in this study. Demographic information was collected. Laboratory tests including mixed-meal tolerance test, human leukocyte antigen alleles, hemoglobin A1 c, lipids, thyroid function and islet autoantibodies were conducted. The frequency of islet-specific autoantibody in newly diagnosed T1 DM patients(duration shorter than half year) was 73% in East China. According to binary logistic regressions, autoantibody positivity, longer duration and lower Body Mass Index were the risk factors of islet failure. As the disease developed, autoantibodies against glutamic acid decarboxylase declined as well as the other two autoantibodies against zinc transporter 8 and islet antigen 2. The decrease of autoantibodies was positively correlated with aggressive beta cell destruction. Autoantibodies can facilitate the identification of classic T1 DM from other subtypes and predict the progression of islet failure. As there were obvious heterogeneity in autoantibodies and clinical manifestation in different phenotypes of the disease, we should take more factors into consideration when identifying type 1 diabetes mellitus. | Jin Liu Lingling Bian Li Ji Yang Chen Heng Chen Yong Gu Bingqin Ma Wei Gu Xinyu Xu Yun Shi Jian Wang Dalong Zhu Zilin Sun Jianhua Ma Hui Jin Xing Shi Heng Miao Bing Xin Yan Zhu Zhenwen Zhang Ruifang Bu Lan Xu Guangde Shi Wei Tang Wei Li Dongmei Zhou Jun Liang Xingbo Cheng Bimin Shi Jixiang Dong Ji Hu Chen Fang Shao Zhong Weinan Yu Weiping Lu Chenguang Wu Li Qian Jiancheng Yu Jialin Gao Xiaoqiang Fei Qingqing Zhang Xueqin Wang Shiwei Cui Jinluo Cheng Ning Xu Guofeng Wang Guoqing Han Chunrong Xu Yun Xie Minmin An Wei Zhang Zhixiao Wang Yun Cai Qi Fu Yu Fu Shuai Zheng Fan Yang Qingfang Hu Hao Dai Yu Jin Zheng Zhang Kuanfeng Xu Yifan Li Jie Shen Hongwen Zhou Wei He Xuqin Zheng Xiao Han Liping Yu Jinxiong She Mei Zhang Tao Yang | 2016 | Science China(Life Sciences)2016，59，9： | 5 |
| 2 | Single-cell RNA sequencing reveals Nestin+active neural stem cells outside the central canal after spinal cord injury显示文摘Neural stem cells(NSCs)in the spinal cord hold great potential for repair after spinal cord injury(SCI).The ependyma in the central canal(CC)region has been considered as the NSCs source in the spinal cord.However,the ependyma function as NSCs after SCI is still under debate.We used Nestin as a marker to isolate potential NSCs and their immediate progeny,and characterized the cells before and after SCI by single-cell RNA-sequencing(scRNA-seq).We identified two subgroups of NSCs:the subgroup located within the CC cannot prime to active NSCs after SCI,while the subgroup located outside the CC were activated and exhibited the active NSCs properties after SCI.We demonstrated the comprehensive dynamic transcriptome of NSCs from quiescent to active NSCs after SCI.This study reveals that Nestin+cells outside CC were NSCs that activated upon SCI and may thus serve as endogenous NSCs for regenerative treatment of SCI in the future. | Muya Shu Xiaoyu Xue Hu Nie Xianming Wu Minghan Sun Lianyong Qiao Xing Li Bai Xu Zhifeng Xiao Yannan Zhao Yongheng Fan Bing Chen Jixiang Zhang Ya Shi Yaming Yang Falong Lu Jianwu Dai | 2022 | Science China(Life Sciences)2022，65，2： | 2 |
| 3 | A comparison of next-generation sequencing analysis methods for cancer xenograft samples显示文摘The application of next-generation sequencing(NGS) technology in cancer is influenced by the quality and purity of tissue samples. This issue is especially critical for patient-derived xenograft(PDX) models,which have proven to be by far the best preclinical tool for investigating human tumor biology, because the sensitivity and specificity of NGS analysis in xenograft samples would be compromised by the contamination of mouse DNA and RNA. This definitely affects downstream analyses by causing inaccurate mutation calling and gene expression estimates. The reliability of NGS data analysis for cancer xenograft samples is therefore highly dependent on whether the sequencing reads derived from the xenograft could be distinguished from those originated from the host. That is, each sequence read needs to be accurately assigned to its original species. Here, we review currently available methodologies in this field,including Xenome, Disambiguate, bamcmp and pdx Blacklist, and provide guidelines for users. | Wentao Dai Jixiang Liu Quanxue Li Wei Liu Yi-Xue Li Yuan-Yuan Li | 2018 | Journal of Genetics and Genomics2018，45，7： | 2 |
| 4 | Optical Fiber Magnetic Field Sensors with TbDyFe Magnetostrictive Thin Films as Sensing Materials显示文摘 | Yang Minghong Dai Jixiang Zhou Ciming | 2009 | Opt Express2009，17，20： | 1 |
| 5 | Fiber optic hydrogen sensors with sol-gel WO3 coatings显示文摘 | YANG Minghong YANG Zhi DAI Jixiang | | 0，，： | 1 |
| 6 | Review on Optical Fiber Sensors With Sensitive Thin Films显示文摘有 nano 结构技术和敏感薄电影的纤维光学的联合为新奇传感器概念的实现提供大潜力。有敏感元素能为光纤维传感器应用程序开垦新地的薄电影的 Miniatured 光纤维传感器。薄电影作为敏感元素和变换器工作从环境,光纤维在被采用作为信号搬运人工作得到反应和反馈。这篇文章介绍为在最近的年里察觉到技术的光纤维在国家工程实验室进行的一些研究工作。具体例子是:Pd/WO3 共同劈啪作响为光氢传感器察觉到材料显示出柔韧的机械稳定性和同时好的察觉到性能的涂层;直接在纤维布拉格栅栏(FBG ) 上扔的 TbDyFe magnetostrictive 涂层证明它缩小的光磁场传感器的可能性,和 FBG 波长的 40 下午移动发生在 50 mT 的一份磁场订单。 | Minghong YANG Jixiang DAI | 2012 | Photonic Sensors2012，2，1： | 1 |
| 7 | Fiber Optic Hydrogen Sensors: a Review显示文摘氢以后是下一代精力之一,它在太空和化学工业显示出有希望的应用。氢漏监视因为它的低点火精力,高燃烧效率,和最小的分子很危险、重要。这份报纸考察纤维的 state-of-art 发展眼的氢察觉到技术。纤维的主要发展中趋势眼的氢传感器基于二种氢敏感材料,即钯合金薄电影和做磅的 WO < 潜水艇 class= “ a-plus-plus ” > 3 涂层。在这个评论工作,这些二种察觉到的技术的优点和劣势将被评估。 | Minghong YANG Jixiang DAI | 2014 | Photonic Sensors2014，4，4： | 0 |
| 8 | Transplantation of neural stem progenitor cells from different sources for severe spinal cord injury repair in rat显示文摘Neural stem progenitor cell(NSPC)transplantation has been regarded as a promising therapeutic method for spinal cord injury(SCI)repair.However,different NSPCs may have different therapeutic effects,and it is therefore important to identify the optimal NSPC type.In our study,we compared the transcriptomes of human fetal brain-derived NSPCs(BNSPCs),spinal cord-derived NSPCs(SCNSPCs)and H9 embryonic stem-cell derived NSPCs(H9-NSPCs)in vitro and subsequently we transplanted each NSPC type on a collagen scaffold into a T8-9 complete SCI rat model in vivo.In vitro data showed that SCNSPCs had more highly expressed genes involved in nerve-related functions than the other two cell types.In vivo,compared with BNSPCs and H9-NSPCs,SCNSPCs exhibited the best therapeutic effects;in fact,SCNSPCs facilitated electrophysiological and hindlimb functional recovery.This study demonstrates that SCNSPCs may be an appropriate candidate cell type for SCI repair,which is of great clinical significance. | Bai Xu Man Yin Yaming Yang Yunlong Zou Wenbin Liu Lianyong Qiao Jixiang Zhang Zhan Wang Yayu Wu He Shen Minghan Sun Weiyuan Liu Weiwei Xue Yongheng Fan Qi Zhang Bing Chen Xianming Wu Ya Shi Falong Lu Yannan Zhao Zhifeng Xiao Jianwu Dai | 2023 | Bioactive Materials2023，，5： | 0 |
| 9 | TGPred:a tumor gene prediction webserver for analyzing structural and functional impacts of variants显示文摘With the increasing use of high-throughput sequencing technology in tumor research,a large number of somatic variations are being identified and some of them have proved to be responsible for tumorigenesis(Cancer Genome Atlas Research Network et al.,2013).Investigating structural and functional impacts of tumor somatic variants would greatly help to identify causal variations,understand the mechanisms of carcinogenesis,and develop novel anti-tumor therapies.Therefore,many efforts have recently been made to map genomic variations to 3D protein structure,such as G23D(Solomon et al.,2016)and G2S(Wang et al.,2018). | Jixiang Liu Wei Liu Xue-Ling Li Quanxue Li Wentao Dai Yuan-Yuan Li | 2020 | Journal of Molecular Cell Biology2020，12，7： | 0 |
| 10 | Gene dysregulation analysis builds a mechanistic signature for prognosis and therapeutic benefit in colorectal cancer显示文摘The implementation of cancer precision medicine requires biomarkers or signatures for predicting prognosis and therapeutic benefits.Most of current efforts in this field are paying much more attention to predictive accuracy than to molecular mechanistic interpretability.Mechanism-driven strategy has recently emerged,aiming to build signatures with both predictive power and explanatory power.Driven by this strategy,we developed a robust gene dysregulation analysis framework with machine learning algorithms,which is capable of exploring gene dysregulations underlying carcinogenesis from high-dimensional data with cooperativity and synergy between regulators and several other transcriptional regulation rules taken into consideration.We then applied the framework to a colorectal cancer(CRC)cohort from The Cancer Genome Atlas.The identified CRC-related dysregulations significantly covered known carcinogenic processes and exhibited good prognostic effect.By choosing dysregulations with greedy strategy,we built a four-dysregulation(4-DysReg)signature,which has the capability of predicting prognosis and adjuvant chemotherapy benefit.4-DysReg has the potential to explain carcinogenesis in terms of dysfunctional transcriptional regulation.These results demonstrate that our gene dysregulation analysis framework could be used to develop predictive signature with mechanistic interpretability for cancer precision medicine,and furthermore,elucidate the mechanisms of carcinogenesis. | Quanxue Li Wentao Dai jixiang Liu Qingqing Sang Yi-Xue Li Yuan-Yuan Li | 2020 | Journal of Molecular Cell Biology2020，12，11： | 0 |
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