A novel, electrically protein-manipulated microcantilever biosensor for enhancement of capture antibody immobilization

This study demonstrated a microcantilever biosensor for enhancement of capture antibody immobilization. The electrically protein-manipulated, microcantilever biosensor is featured with enhanced capture antibody immobilization, miniaturization, and high sensitivity. Thanks to the electric property of biological substances in a real environment, given charged proteins can be manipulated with attraction in solution under an electric field. It is evident that higher amount of capture antibody molecules immobilized onto sensing surfaces captures or detects specific molecules, indicating greater deflection and stresses as well. This however leads to significant cost in biosensors. With the merit of MEMS technique that allows highly fabrication-compatible integration into microcantilever biosensors, sparsely distributed antibody molecules in solution are attracted in focus onto a sensing solid surface under electric fields. As the sensing element of the gold-coated, V-shaped silicon nitride microcantilever also serves as an electrode, the electric fields are applied in a channel of flowing microfluidics by locally in-plane electrodes or by a top electrode arranged for three-dimensional fields. As expected, most charged proteins distributed in solution are effectively attracted onto the sensing area within the electric fields. This improves the efficiency of capture antibody immobilization and achieves an eight-fold reduction over the necessary amount of capture antibodies without applying electric fields. With such a successful manipulation of charged proteins, the novel microcantilever biosensor exhibits efficient use of capture antibodies in solution.     

谈高校艺术设计专业的色彩教学改革

如何探索一套适用于艺术设计专业特点的基础教学方法,利用有限的时间,通过有效的训练,为专业设计建立联系,打下基础,一直是艺术设计教育者应该思考和探索的问题。     

Spatial interest pixels (SIPs): useful low-level features of visual media data

Visual media data such as an image is the raw data representation for many important applications. Reducing the dimensionality of raw visual media data is desirable since high dimensionality degrades not only the effectiveness but also the efficiency of visual recognition algorithms. We present a comparative study on spatial interest pixels (SIPs), including eight-way (a novel SIP detector), Harris, and Lucas‐Kanade, whose extraction is considered as an important step in reducing the dimensionality of visual media data. With extensive case studies, we have shown the usefulness of SIPs as low-level features of visual media data. A class-preserving dimension reduction algorithm (using GSVD) is applied to further reduce the dimension of feature vectors based on SIPs. The experiments showed its superiority over PCA.

Bacteria foraging optimization for protein sequence analysis on the grid

Scientific applications such as protein sequence analysis require a coordination of resources. This is due to hundreds and hundreds of protein sequences being deposited into data banks by the research community which results in an extensive database search when one wants to find a similar protein sequence. This search becomes easier and the time taken is reduced when it is conducted in a grid environment implemented using the Globus tool kit. This paper proposes the use of Bacteria Foraging Optimization (BFO) for finding similar protein sequences in the existing databases. Usage of BFO further reduces the time taken by a resource to execute the user’s requests. Also, the resources utilized in the proposed method are better balanced compared to the existing scheduling algorithms. Also, it is found that the number of tasks executed is more compared to the existing algorithms even though there is a fall in the execution of tasks as the number of resources increases which might be due to network failure etc. The proposed BFO has been compared with the existing First Come First Serve (FCFS) and Minimum Execution Time (MET) scheduling algorithms and it has been found that the proposed BFO performs well compared to the existing algorithms in terms of makespan, resource utilization and minimization in the case of non-execution of client requests.     

企业“亚健康”状态下的会计政策选择

医学领域把“亚健康”状态称为人类认知的一场革命,将此概念引入企业范围,从而引起管理者、投资者及企业其他利益相关者重视企业的该种状态,避免企业滑向破产、清算的深渊,更重要的是趋利避害,使企业处于可持续经营的良好状态。     

Application of N-succinimidyl 4-[(18)~F](fluoromethyl) benzoate to protein labeling

N-succinimidyl 4-[18F](fluoromethyl) benzoate for protein labeling was prepared (57%, EOB) in about 30min. Reaction conditions of S18FMB with IgG including pH of solutions, protein concentration, reaction temperature and time were studied. The optimal labeling conditions were: 0.2mg/mL IgG, pH = 7.8-8.5, 25℃, and reaction time 5min.Under these conditions the yield was about 80%. The 18F-labeled protein was purified by size exclusion chromatography.     

低剂量辐射对小鼠血清蛋白差异表达的影响

应用蛋白质组学方法筛选对低剂量?射线敏感的蛋白质,并采用双向凝胶电泳和基质辅助激光解析飞行时间串联质谱技术分离、鉴定不同低剂量?射线导致的小鼠血清差异表达蛋白。不同低剂量?射线照射后,对实验组与对照组的血清双向电泳图谱进行比较分析,通过质谱鉴定得到7个差异表达点,分别是载脂蛋白C-III、?珠蛋白、腮腺分泌蛋白、?2巨球蛋白前体、转甲状腺蛋白晶体结构H链、C1qc蛋白和丛生蛋白。提示低剂量?射线辐照能导致小鼠血清中某些蛋白表达发生变化。     

PET分子影像学研究进展

正电子发射断层(PET)分子影像学是分子影像学的重要内容。本文主要阐述PET分子影像学技术的理论基础及其在蛋白质功能、基因表达与基因治疗、受体显像及血流代谢显像方面应用的最新进展。     

pEgr-ssEndostatin的构建及其在体外的辐射诱导表达

为探讨pEgr-ssEndostatin重组质粒转染B16细胞后接受不同辐射剂量以及接受同一剂量不同时程endostatin表达的规律。采用RT-PCR方法从鼠肝脏中扩增出Endostatin cDNA,连入信号肽,构建了pEgr-ssEndostatin重组质粒,用脂质体介导的转染法转染小鼠B16细胞,用ELISA方法检测B16细胞上清中endostatin的表达水平。结果表明的分泌型Endostatin序列与报道完全一致,Egr-1启动子和Endostatin cDNA正确插入表达载体pcDNA3．1;pEfr-ssEndostatin具有辐射诱导表达特性。提示小鼠Endostatin基因成功地被克隆和表达,Egr-1启动子具有辐射激活和诱导下游基因表达增强的功能。     

DTS中基于用户自定义的自动装置模拟

在调度员培训仿真器（DTS）中传统的自动装置仿真方法是对不同类型的装置分别建模，其缺点是适应性差、扩展性不强。针对这些问题，对自动装置的动作原理进行分析，建立了1个基于用户自定义的自动装置仿真模型。该模型将自动装置抽象为启动元件、信息综合分析单元及联动元件三部分，实现对不同自动装置的统一处理。其信息综合分析单元采用带自定义符号元素和语法规则的逻辑表达式实现，用特定的表达式解析器进行解析，完成对启动信号的综合分析与判断。在天津DTS的实际应用表明，该模型具有较好的通用性、灵活性和可扩展性。