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| 1 | Roles of short amine in preparation and sizing performance of partly hydrolyzed ASA emul- sion stabilized by Laponite particles 显示文摘 | Ding Pengxiang Liu Wenxia Zhao Zhenghuan | 2011 | Colloids and Surfaces A: Physicochemical and Engineering Aspects2011，384，3： | 1 |
| 2 | Recent advances in engineering iron oxide nanoparticles for effective magnetic resonance imaging显示文摘Iron oxide nanoparticle(IONP)with unique magnetic property and high biocompatibility have been widely used as magnetic resonance imaging(MRI)contrast agent(CA)for long time.However,a review which comprehensively summarizes the recent development of IONP as traditional T_(2) CA and its new application for different modality of MRI,such as T_(1) imaging,simultaneous T_(2)/T_(1) or MRI/other imaging modality,and as environment responsive CA is rare.This review starts with an investigation of direction on the development of high-performance MRI CA in both T_(2) and T_(1) modal based on quantum mechanical outer sphere and Solomon-Bloembergen-Morgan(SBM)theory.Recent rational attempts to increase the MRI contrast of IONP by adjusting the key parameters,including magnetization,size,effective radius,inhomogeneity of surrounding generated magnetic field,crystal phase,coordination number of water,electronic relaxation time,and surface modification are summarized.Besides the strategies to improve r2 or r1 values,strategies to increase the in vivo contrast efficiency of IONP have been reviewed from three different aspects,those are introducing second imaging modality to increase the imaging accuracy,endowing IONP with environment response capacity to elevate the signal difference between lesion and normal tissue,and optimizing the interface structure to improve the accumulation amount of IONP in lesion.This detailed review provides a deep understanding of recent researches on the development of high-performance IONP based MRI CAs.It is hoped to trigger deep thinking for design of next generation MRI CAs for early and accurate diagnosis. | Zhenghuan Zhao Muyao Li Jie Zeng Linlin Huo Kun Liu Ruixue Wei Kaiyuan Ni Jinhao Gao | 2022 | Bioactive Materials2022，7，6： | 1 |
| 3 | Nanoprobes for in vitro diagnostics of cancer and infectious diseases显示文摘 | Xiaoqin Chi Dengtong Huang Zhenghuan Zhao Zijian Zhou Zhenyu Yin Jinhao Gao | 2011 | Biomaterials2011，，1： | 1 |
| 4 | Roles of short amine in preparation and sizing performance of partly hydrolyzed ASA emul- sion stabilized by Laponite particles 显示文摘 | Ding Pengxiang Liu Wenxia Zhao Zhenghuan | 2011 | Colloids and Surfaces A: Physicochemical and Engineering Aspects2011，384，13： | 1 |
| 5 | Performance Comparison of Computational Methods for the Prediction of the Function and Pathogenicity of Non-coding Variants显示文摘Non-coding variants in the human genome significantly influence human traits and complex diseases via their regulation and modification effects.Hence,an increasing number of computational methods are developed to predict the effects of variants in human non-coding sequences.However,it is difficult for inexperienced users to select appropriate computational methods from dozens of available methods.To solve this issue,we assessed 12 performance metrics of 24 methods on four independent non-coding variant benchmark datasets:(1)rare germline variants from clinical relevant sequence variants(ClinVar),(2)rare somatic variants from Catalogue Of Somatic Mutations In Cancer(COSMIC),(3)common regulatory variants from curated expression quantitative trait locus(eQTL)data,and(4)disease-associated common variants from curated genomewide association studies(GWAS).All 24 tested methods performed differently under various conditions,indicating varying strengths and weaknesses under different scenarios.Importantly,the performance of existing methods was acceptable for rare germline variants from ClinVar with the area under the receiver operating characteristic curve(AUROC)of 0.4481–0.8033 and poor for rare somatic variants from COSMIC(AUROC=0.4984–0.7131),common regulatory variants from curated eQTL data(AUROC=0.4837–0.6472),and disease-associated common variants from curated GWAS(AUROC=0.4766–0.5188).We also compared the prediction performance of 24 methods for non-coding de novo mutations in autism spectrum disorder,and found that the combined annotation-dependent depletion(CADD)and context-dependent tolerance score(CDTS)methods showed better performance.Summarily,we assessed the performance of 24 computational methods under diverse scenarios,providing preliminary advice for proper tool selection and guiding the development of new techniques in interpreting non-coding variants. | Zheng Wang Guihu Zhao Bin Li Zhenghuan Fang Qian Chen Xiaomeng Wang Tengfei Luo Yijing Wang Qiao Zhou Kuokuo Li Lu Xia Yi Zhang Xun Zhou Hongxu Pan Yuwen Zhao Yige Wang Lin Wang Jifeng Guo Beisha Tang Kun Xia Jinchen Li | 2023 | Genomics, Proteomics & Bioinformatics2023，21，3： | 0 |
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