糖芯片合成中的固定化策略*

近年来,糖芯片作为一种强有力的生化分析工具在糖生物学的研究中获得了越来越广泛的应用。在糖芯片制备过程中,糖探针在基板表面的固定是最重要也是最难的一步,它不仅要能牢固的固定在芯片基板上,还必须具有足够的生物活性,因此糖芯片在制备过程中制定合适的糖探针固定化策略一直是一个难点,也是极具挑战性的研究热点。本文首先概述了近几年糖芯片作为一种强有力的生化分析工具在糖生物学研究中的应用。详尽介绍了三种将糖探针固定在固相基片表面的策略：（1）非位点特异性、非共价的方式;（2）位点特异性、非共价的方式;（3）位点特异性、共价的方式。并对糖芯片固定化策略的发展进行了展望。     

糖芯片制备和应用的最新研究进展

糖芯片是一种研究微量糖与生物大分子之间相互作用的生物检测技术,因其具有用量少、快速、高效和高通量等特点,现已被广泛应用到药物开发、免疫学,临床诊断和细菌检测等诸多领域中。近年来,尽管对糖芯片的制备方法和应用进行了较为深入的研究,但对糖芯片的制备方法和应用的综述还较少报道。本文主要介绍糖芯片的制备原理、非化学修饰和化学修饰制备糖芯片的最新方法,然后对糖芯片在自组装等方面应用的最新进展进行综述,并对糖芯片所遇到的挑战和发展趋势也作了展望。     

糖芯片的检测及应用

糖芯片技术具有样品少、通量高和特异性强等优点,是一种糖组学研究的新的技术平台和强大的分析工具,已经广泛用于糖和蛋白质的特异性作用、酶活性和抑制剂、病毒入侵机理、细菌检测和免疫反应等方面的研究.本文简要介绍了糖芯片的原理、制备和信号的检测技术(荧光标记法、质谱法、SPR法等),分析了糖芯片在各个领域的应用及其发展前景.     

糖芯片的研究进展

糖芯片是生物芯片的一种,如基因芯片对于基因研究和蛋白质芯片对于蛋白质组研究一样,糖芯片在糖组学的研究中同样也将扮演重要的角色。本文系统介绍了糖芯片的制备流程及其应用,以及在糖芯片研发开发中的技术障碍。     

微流控芯片电泳的研究进展

该文综述了微流控芯片电泳的制备、结构和应用,比较了不同材料微流控芯片电泳的制备机理、表面改性和性能特点,归纳和总结了不同结构微流控芯片电泳的进样、分离和检测系统以及不同类型微流控芯片电泳在荧光物质、金属离子、糖、药物、核酸、DNA、氨基酸、多肽和蛋白质分析中的应用,并对微流控芯片电泳的未来发展方向做了展望.     

糖芯片最新研究进展

糖芯片是一种快速、高效、高通量获取糖-生物大分子相互作用信息的生物检测技术,对后基因组时代糖生物学的发展具有重大影响。本文主要论述了糖芯片固定化技术的最新进展,包括未经化学修饰的糖的化学固定,天然糖库及其固定,复杂寡糖的合成及其固定,糖基的密度差异固定化技术以及间隔基的引入技术。这些新的固定化技术保持了糖的化学结构,扩大了糖芯片的来源和应用范围,进一步提高了糖芯片的检测效率。此外,本文还介绍了虚拟筛选技术在这一领域的应用潜力以及糖芯片在医疗诊断等方面的应用,最后对糖芯片技术遇到的挑战和发展做了展望。     

利用糖芯片研究半乳寡糖与蓖麻凝集素和鸡冠刺桐凝集素间的相互作用

建立了用糖芯片技术研究寡糖与凝集素相互作用的方法.以新乳糖-N-四糖(LNnT)、乳糖-N-四糖(LNT)、λ-卡拉胶四糖(L4)和琼胶五糖(A5)为原料,经还原胺化法分别将其与1,2-十六烷基磷脂酰乙醇胺偶联得到拟糖脂,再将其与卵磷脂和胆固醇按4∶2∶5比例混合制备成脂质体后,用全自动芯片点样仪将其点印在硝酸纤维素膜包被的玻片上制成糖芯片,并进行寡糖与凝集素的结合实验.结果表明,蓖麻凝集素(Rieinus communis agglutinin 120,RCA120)特异性识别非还原端糖残基为Galβ(1 →4)的寡糖,而鸡冠刺桐凝集素(Erythrina cristagalli lectin,ECL)特异性识别非还原端糖残基为Galβ(1→4)GlcNAc的LNnT.采用接触式芯片点样仪制备糖芯片,并用荧光扫描仪对糖与凝集素结合信号进行检测,增加了灵敏度和准确性.本方法不仅适合于糖与蛋白相互作用的研究,也有助于加快糖类药物的发现.     

半刀豆球蛋白非标记电化学阻抗传感器

近年来,糖生物学在糖链结构、生物合成、生理功能以及疾病诊断等方面的研究备受关注.糖芯片是继基因芯片和蛋白质芯片之后兴起,正如继基因工程、蛋白质工程之后兴起的糖工程,继基因组学、蛋白质组学之后兴起的糖组学一样,功能糖芯片技术已成为第3代高通量、大规模生物芯片检测技术的核心.     

生命分析化学的重要领域——电化学微阵列芯片

生命分析化学是研究与生命活动相关的化学分子检测原理与方法的新兴交叉科学领域。将电化学分析方法与生物芯片相结合形成的电化学生物芯片正在向集成化、通量化、微型化和自动化等方向迅速发展。本文介绍近年来电化学检测在DNA芯片、蛋白质芯片以及适配体芯片等方面有代表性的研究进展。文中阐述了高、低密度电化学DNA芯片的制备与多种伏安检测方法;讨论了多酶电极芯片结构与测定干扰之间的关系,介绍了伏安法、阻抗法等电化学方法在蛋白芯片中的应用进展。此外,还简要介绍了电化学适配体芯片的制备及检测方法,并展望了电化学生物芯片的发展前景。     

聚氨酯/碳纳米管复合材料制备的研究进展

综述了聚氨酯/碳纳米管复合材料制备研究中碳纳米管的修饰方法及其复合材料的制备方法。碳纳米管的修饰方法包括共价修饰和非共价修饰,两种方法都可以有效改善碳纳米管在聚氨酯中的分散性。然而,共价修饰法会削弱碳纳米管的强度,非共价修饰层则容易脱落。因此,人们发展出了复合修饰法。该复合材料中的制备方法包括溶液共混法、熔融混合法和原位聚合法。评述了未来的发展趋势,提出朝简单、环保的方向改进碳纳米管的修饰方法,形成系统化的碳纳米管分散性评价的量化标准,发展出适应复合材料工业化生产线的制备方法,将是今后研究的重点。     

Studying the interaction of carbohydrate-protein on the dendrimer-modified solid support by microarray-based plasmon resonance light scattering assay

Here, a three-dimensional (3D) carbohydrate microarray-based plasmon resonance light scattering (RLS) assay has been established for studying carbohydrate-lectin binding with high selectivity. The 3D carbohydrate microarray is fabricated by immobilizing amino-modified carbohydrates on the home-made fourth-generation (G4) NH(2)-terminated poly(amidoamine) dendrimers (PAMAM)-modified substrate. After marking the carbohydrate-lectin binding events by 13 nm peptide-stabilized gold nanoparticles through the biotin-avidin reaction, the 3D microarray can be directly detected by the RLS scanner without the conventional silver enhancement step. The well defined recognition systems: three monosaccharides (Man-α, Glc-α and Gal-β) with two lectins (Con A and RCA 120), have been chosen here to establish the RLS assay, respectively. Quantitative determination of the surface dissociation constants (K(D,surf)) for surface carbohydrates and lectins has been achieved. In addition, inhibition values (i.e. the inhibition constants (K(i)) and the concentrations of inhibitors required to produce 50% inhibition (IC(50))) for inhibitors in solution are also demonstrated by the saccharide competing assays.     

Carbohydrate microarrays for assaying galactosyltransferase activity

[reaction: see text] Carbohydrate microarrays have been used recently for the rapid analysis of glycan-protein or glycan-cell interactions and for the detection of pathogens. As a demonstration of its significance and versatility, the microarray technology has been applied in this effort to assay glycosyltransferase activities. In addition, carbohydrate microarray based methods have been employed to quantitatively determine binding affinities between lectins and carbohydrates.     

The development of an integrated platform to identify breast cancer glycoproteome changes in human serum

Protein glycosylation represents one of the major post-translational modifications and can have significant effects on protein function. Moreover, changes in the carbohydrate structure are increasingly being recognized as an important modification associated with cancer etiology. In this report, we describe the development of a proteomics approach to identify breast cancer related changes in either concentration and/or the carbohydrate structures of glycoprotein(s) present in blood samples. Diseased and healthy serum samples were processed by an optimized sample preparation protocol using multiple lectin affinity chromatography (M-LAC) that partitions serum proteins based on glycan characteristics. Subsequently, three separate procedures, 1D SDS-PAGE, isoelectric focusing and an antibody microarray, were applied to identify potential candidate markers for future study. The combination of these three platforms is illustrated in this report with the analysis of control and cancer glycoproteomic fractions. Firstly, a molecular weight based separation of glycoproteins by 1D SDS-PAGE was performed, followed by protein, glycoprotein staining, lectin blotting and LC–MS analysis. To refine or confirm the list of interesting glycoproteins, isoelectric focusing (targeting sialic acid changes) and an antibody microarray (used to detect neutral glycan shifts) were selected as the orthogonal methods. As a result, several glycoproteins including alpha-1B-glycoprotein, complement C3, alpha-1-antitrypsin and transferrin were identified as potential candidates for further study.     

化学生物学中光敏分子微阵列的表面构建与应用

分子微阵列是有机合成（特别是组合化学合成）方法应用于生物和医学研究而发展起来的高科技集成技术,通过把微电子、微加工技术和有机化学合成反应相结合,在固体基质（如硅片、玻片、瓷片等）表面构建微型的生物有机化学分子系统,以实现对细胞、蛋白质、核酸及其他生物组分进行快速、敏感、高效地处理．近年来,随着表面化学构建策略研究的不断深入和迅猛发展,分子微阵列技术的应用领域不断拓展,已从最初用于核酸分子的杂交测序延伸到基因组功能研究的各个方面．本文着重综述了光敏分子微阵列的表面化学构建策略研究及其在化学生物学分析中应用的最新进展,并展望了其发展的未来趋势．内容主要包括：小分子与多肽分子微阵列、蛋白质分子微阵列、核酸分子微阵列和糖分子微阵列等．     

Fabrication of carbohydrate microarrays through boronate formation

A straightforward method for fabricating a stable and covalent carbohydrate microarray based on boronate formation between the hydroxyl groups of carbohydrate and boronic acid (BA) on the glass surface was used to identify carbohydrate-protein interactions.     

Catching bacteria with sugar

In this issue of Chemistry & Biology, Disney and Seeberger exploit bacterial targeting of host cell surface sugars during pathogenesis to create a simple diagnostic carbohydrate microarray for the detection of bacteria in complex biological mixtures [1].     

液滴在超疏水形状记忆微阵列表面上定向/非定向滚动的可逆调控

利用3D打印、 模板赋形和表面修饰的方法, 制备出具有竖直结构的超疏水形状记忆微阵列. 该微阵列的竖直状态和倾斜状态能够基于形状记忆效应进行可逆调控. 当微阵列的结构发生改变, 液滴在表面的滚动状态也随之发生变化. 液滴在竖直的微阵列上表现出非定向滚动特征, 即液滴向微阵列两侧运动的滚动角是一致的. 在倾斜的微阵列上, 液滴则表现出定向运动的功能, 即液滴沿着微阵列倾斜方向上的滚动角要小于逆着阵列倾斜方向的滚动角. 因此, 本文通过调控微阵列形态实现了对液滴定向/非定向滚动的可逆调控.     

Carbohydrate-based fluorometric and colorimetric sensors for Cu2+ ion recognition

The development of optical sensors using carbohydrates for selective detection of copper in water and living system has been an active research area in the past few years because of widespread applications and biological importance of copper. Introduction of carbohydrate to design the sensors is an attractive field of research because of its chiral entities with hydroxyl groups and oxygen atoms, controlled ring-flipping capability, abundance, and biocompatibility. This minireview focuses on the reported carbohydrate-based fluorescent and colorimetric sensors for Cu²⁺ detection and is organized according to their structural categories such as triazole-linked, imine-linked, and non–triazole-/imine-linked carbohydrate–based sensors. To the best of our knowledge, this is the first review article focused on carbohydrate-based Cu²⁺ sensors.     

基于微流控芯片的微阵列分析

微阵列芯片具有高通量、微量化和自动化等特点,已经在很多领域得到广泛应用。但是微阵列芯片仍然具有不足之处,如所需设备昂贵、分析时间较长、灵敏度不高、多样品平行分析能力不足等。微流控芯片微米级的通道具有相对较大的比表面积和较短的扩散距离,能够显著加快分析速度、提高检测效率、增强分析性能,并且能够加工大量的平行通道用于多样品分析。目前已经有大量文献报道将微流控芯片和微阵列芯片相结合,发展了独特的杂交方式并在实验和理论上分别证明了两者相结合的优势,本文综述了将微流控芯片技术应用于微阵列分析的研究进展,着重介绍了在微流控芯片上进行微阵列分析时的杂交方式、促进杂交的措施以及杂交过程的数学建模,同时也介绍了其他分析步骤方面的进展。最后分析了目前微流控芯片技术在进行微阵列杂交应用方面的不足及其原因,并指出这两项技术相结合的优势和未来。     

Nanowire‐Based Electrochemical Biosensors

We review recent advances in biosensors based on one‐dimensional (1‐D) nanostructure field‐effect transistors (FET). Specifically, we address the fabrication, functionalization, assembly/alignment and sensing applications of FET based on carbon nanotubes, silicon nanowires and conducting polymer nanowires. The advantages and disadvantages of various fabrication, functionalization, and assembling procedures of these nanosensors are reviewed and discussed. We evaluate how they have been used for detection of various biological molecules and how such devices have enabled the achievement of high sensitivity and selectivity with low detection limits. Finally, we conclude by highlighting some of the challenges researchers face in the 1‐D nanostructures research arena and also predict the direction toward which future research in this area might be directed.