毛细管电泳法高效筛选8-氧代鸟嘌呤DNA糖基化酶的核酸适配体

8-氧代鸟嘌呤DNA糖基化酶(OGG1)是人体中重要的功能蛋白,在修复DNA氧化性损伤过程中起关键作用。氧化应激等引起的氧化损伤易导致炎症反应的发生,对OGG1的抑制可以一定程度上起到缓解作用;对癌细胞OGG1的抑制有望作为癌症治疗的新方法。目前的研究多集中于小分子对OGG1功能的影响和调控,而OGG1的适配体筛选尚未见报道。作为功能配体,适配体具有合成简单、高亲和力及高特异性等优点。该文筛选了OGG1的核酸适配体,结合毛细管电泳高效快速的优点建立了两种基于毛细管电泳-指数富集进化(CE-SELEX)技术的筛选方法:同步竞争法和多轮筛选法。同步竞争法利用单链结合蛋白(SSB)与核酸库中单链核酸的强结合能力,与目标蛋白OGG1组成竞争体系,并通过增加SSB浓度来增加竞争筛选压力,以去除与OGG1弱结合的核酸序列,一步筛选即可获得与OGG1强结合的核酸序列。多轮筛选法在相同孵育条件和电泳条件下,经3轮筛选获得OGG1的核酸适配体。比较两种筛选方法的筛选结果,筛选结果中频次最高的3条候选核酸适配体序列一致,其解离常数(K_D)值在1.71~2.64 μmol/L之间。分子对接分析结果表明候选适配体1(Apt 1)可能与OGG1中具有修复氧化性损伤功能的活性口袋结合。通过对两种筛选方法的对比,证明同步竞争法更加快速高效,对其他蛋白核酸适配体筛选方法的选择具有一定的指导意义。得到的适配体有望用于OGG1功能调控,以抑制其修复功能。     

基于双膦配体、氮配体的两个铜(Ⅰ)配合物的合成、光谱学性质和太赫兹时域光谱

在甲醇和二氯甲烷的混合溶剂中合成了2个新的铜（Ⅰ）配合物：[Cu（dppp）（Bphen）]Cl·1.8CH₃OH（1）和[Cu₂（CN）₂（dppp）（dmp）₂]·2.5CH₃OH（2）（dppp=1,3-双（二苯基膦基）丙烷,Bphen=4,7-二苯基-1,10-菲咯啉,dmp=2,9-二甲基-1,10-菲咯啉）,并通过X射线单晶衍射、元素分析、红外光谱、核磁共振氢谱及磷谱、荧光光谱和太赫兹时域光谱对2个配合物进行了分析和表征。单晶结构表明配合物1是以Cu（Ⅰ）为中心,Bphen和dppp为配体,螯合形成的扭曲四面体结构。配合物2则是由CuCN、dppp和dmp以2：1：2的比例混合得到。配合物2的双膦配体的2个膦基分别与2个Cu（Ⅰ）形成配位键,每个Cu（Ⅰ）又分别与1个氰根和1个dmp配位。发光光谱表明配合物1和2所有的发射峰来源于金属-配体电荷迁移（MLCT）。太赫兹时域光谱对配合物1和2的研究提供了帮助。     

Preparation of copper ferrite by sol–gel method and the synergistic catalytic for the thermal decomposition of ammonium perchlorate

Journal of Sol-Gel Science and Technology - In the present work, copper ferrite was prepared by a simple and mild sol–gel method followed by low-temperature calcination, and characterized by...     

An ensemble learning framework for potential miRNA-disease association prediction with positive-unlabeled data

To explore the pathogenic mechanisms of MicroRNA (miRNA) on diverse diseases, many researchers have concentrated on discovering the potential associations between miRNA and disease using machine learning methods. However, the prediction accuracy of supervised machine learning methods is limited by lacking of experimentally-validated uncorrelated miRNA-disease pairs. Without these negative samples, training a highly accurate model is much more difficult. Different from traditional miRNA-disease prediction models using randomly selected unknown samples as negative training samples, we propose an ensemble learning framework to solve this positive-unlabeled (PU) learning problem. The framework incorporates two steps, i.e., a novel semi-supervised Kmeans (SS-Kmeans) to extract reliable negative samples from unknown miRNA-disease pairs and subagging method to generate diverse training sample sets to make full use of those reliable negative samples for ensemble learning. Combined with effective random vector functional link (RVFL) network as prediction model, the proposed framework showed superior prediction accuracy comparing with other popular approaches. A case study on lung and gastric neoplasms further confirms the framework’s efficacy at identifying miRNA disease associations.     

Natural killer cell-derived extracellular vesicle significantly enhanced adoptive T cell therapy against solid tumors via versatilely immunomodulatory coordination

Science China Chemistry - Insufficient tumor tropism, MHC class I molecules (MHC-I) defects of tumor cells, and immunosuppressive tumor micro-environment (TME) seriously imperil the efficacy of...     

Selection of hydrogel electrolytes for flexible zinc–air batteries

Flexible zinc–air batteries attract more attention due to their high energy density, safety, environmental protection, and low cost. However, the traditional aqueous electrolyte has the disadvantages of leakage and water evaporation, which cannot meet application demand of flexible zinc–air batteries. Hydrogels possessing good conductivity and mechanical properties become a candidate as the electrolytes of flexible zinc–air batteries. In this work, advances in aspects of conductivity, mechanical toughness, environmental adaptability, and interfacial compatibility of hydrogel electrolytes for flexible zinc–air batteries are investigated. First, the additives to improve conductivity of hydrogel electrolytes are summarized. Second, the measures to enhance the mechanical properties of hydrogels are taken by way of structure optimization and composition modification. Third, the environmental adaptability of hydrogel electrolytes is listed in terms of temperature, humidity, and air composition. Fourth, the compatibility of electrolyte–electrode interface is discussed from physical properties of hydrogels. Finally, the prospect for development and application of hydrogels is put forward.     

Study on preparation and properties of polyether polytriazole elastomers

To explore the application of click chemistry in the field of elastomer materials, propargyl-terminated ethylene oxide-tetrahydrofuran copolymer(PTP(E-co-T)) was prepared from hydroxyl-terminated ethylene oxide-tetrahydrofuran copolymer(P(E-co-T)) by end-etherisation modification. FTIR and 13C-NMR results indicate that P(E-co-T)-terminated hydroxyl was etherified thoroughly, yielding the target product PTP(E-co-T), and the content of terminated alkynyl of PTP(E-co-T) was evaluated to be 0.428 mmol·g-1. Using a polyazide compound as a cross-linker, polytriazole elastomers with various functional molar ratio(R) values were prepared from PTP(E-co-T) by virtue of the Cu AAC reaction. Mechanical property tests indicate that with the increase in R, the modulus E and stress σb of the polytriazole elastomers first increase and subsequently decrease, whereas the strain first decreases and later increases. The mechanical properties of the polytriazole elastomers show a parabolic dependence on the R value. Near the stoichiometric ratio, E and σb show maxima and the strain εb shows a minimum. Swelling tests demonstrate that the apparent molecular weight of polytriazole elastomer strands also first decreases and subsequently increases. At the stoichiometric ratio, the network structure possesses strands with a minimum apparent molecular weight and a maximum apparent density. Dynamic mechanical analysis reveals that the polytriazole elastomers presented damping peaks at approximately-64 °C, corresponding to the glass transition of copolyether strands, and the elastomer exhibited the lowest dissipation factor tanδ at the stoichiometric ratio. Thermal analysis suggests that the weight-loss process of the polytriazole elastomer is characteristic of one-step decomposition, and the elastomer begins to decompose from polyether strands, not triazole groups.     

A Tale of Copper Coordination Frameworks: Controlled Single‐Crystal‐to‐Single‐Crystal Transformations and Their Catalytic CH Bond Activation Properties

Metal–organic frameworks (MOFs), as a class of microporous materials with well‐defined channels and rich functionalities, hold great promise for various applications. Yet the formation and crystallization processes of various MOFs with distinct topology, connectivity, and properties remain largely unclear, and the control of such processes is rather challenging. Starting from a 0D Cu coordination polyhedron, MOP‐1, we successfully unfolded it to give a new 1D‐MOF by a single‐crystal‐to‐single‐crystal (SCSC) transformation process at room temperature as confirmed by SXRD. We also monitored the continuous transformation states by FTIR and PXRD. Cu MOFs with 2D and 3D networks were also obtained from this 1D‐MOF by SCSC transformations. Furthermore, Cu MOFs with 0D, 1D, and 3D networks, MOP‐1, 1D‐MOF, and HKUST‐1, show unique performances in the kinetics of the C?H bond catalytic oxidation reaction.