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1.
支架蛋白——信号转导系统中的分子胶水 总被引:2,自引:0,他引:2
信号转导系统存在一种本身不具备酶活性的蛋白质——支架蛋白.它能同时结合两个或多个蛋白质.支架蛋白的作用类似分子胶水,将功能相关的蛋白粘合在一起,从而保证了信号传递的特异和高效. 相似文献
2.
在高等植物叶绿体中,RNA结合蛋白在转录后RNA处理、运输以及mRNA的稳定等方面发挥重要作用.本项研究使用多聚腺苷酸(polyA)吸附柱或单链DNA(ssDNA)吸附柱富集白桦叶绿体的polyA结合蛋白或RNA结合蛋白,并通过MALDI-TOF-MS以及ESI MS/MS进行鉴定,13个叶绿体蛋白质得到了鉴定.按照Swiss Prot数据库的注释,这些蛋白质的功能主要包括4个相关种类,分别为NAD结合蛋白、RNA结合蛋白、DNA结合蛋白和ATP结合蛋白.使用这些方法还鉴定出包括转录因子的4个高丰度蛋白.这些结果加深了对树木中叶绿体RNA结合蛋白的全面了解,可以将其应用于其他树木叶绿体中RNA 蛋白质的相互作用的研究. 相似文献
3.
水稻矮缩病病毒(RDV)具有多种蛋白质和RNA构成的核衣壳结构, 但是特异性的RNA与蛋白质、蛋白质与蛋白质之间的相互作用和结合, 即有关病毒粒子的装配机理还没有完全阐明. 从细胞内和细胞外两个研究层次详细研究了RNA与蛋白质相互结合情况, 研究发现, P7蛋白能特异并牢固地与RDV基因组的全部12条双链RNA结合; 推定为RNA聚合酶的P1蛋白、鸟苷酰转移酶的P5蛋白和P7蛋白被包裹在病毒核内, 根据体外结合实验, 它们能与病毒转录产物mRNA结合; 从病毒感染的组织中能够提取得到完整的、有感染活性的病毒粒子, 以及缺失P1, P5, P7蛋白和基因组双链RNA, 没有感染活性的空壳病毒粒子; 在病毒粒子中P7蛋白能够与P1蛋白和P3内衣壳蛋白形成蛋白复合物. 这些结果揭示了RDV病毒粒子装配的一种可能的模型, 即核心蛋白和病毒mRNA首先相互结合形成一个整体, 以筛选和富集病毒RNA, 接着包装成为完整的、具有感染活性的病毒粒子. 相似文献
4.
抗生物素蛋白结合蛋白的发现及分离纯化 总被引:2,自引:0,他引:2
本文报道了在日本血吸虫感染的兔血清及日本血吸虫卵中,存在一种能与抗生物素蛋白(又称亲和素)专一性结合的蛋白质,称为抗生物素蛋白结合蛋白。该蛋白质与亲和素的结合与生物素及亲和素的糖链部分无关,并能在高PH、高浓度盐及去污剂等条件下与亲和素结合。利用DEA-52离子交换柱及偶联有亲和素的Sepharose4B亲和层析柱,从日本血吸虫感染的兔血清中,分离纯化了该蛋白质。提纯的亲和素结合蛋白在SDS-PA 相似文献
5.
(肌)营养不良短小蛋白结合蛋白1(dystrobrevin binding protein 1,dysbindin-1)是溶酶体相关细胞器生物发生复合体-1(biogenesis of lysosome-related organelles complex 1,BLOC-1)的1个亚基,在多种组织细胞中广泛表达;然而,其在睾丸组织中的作用至今尚不明确。为寻找(肌)营养不良短小蛋白结合蛋白1在睾丸组织中的相互作用蛋白质,以进一步研究(肌)营养不良短小蛋白结合蛋白1在睾丸中的作用,本研究首先在Rosetta(DE3)菌种中表达可溶性GST-dysbindin-1融合蛋白,经谷胱甘肽-琼脂糖珠亲和纯化后,与小鼠的睾丸组织蛋白质孵育进行GST pull-down实验,并通过液相色谱串联质谱(LC MS/MS)分析筛选(肌)营养不良短小蛋白结合蛋白1在睾丸组织中的相互作用蛋白质。利用Bio GPS数据库聚类在睾丸组织中高表达和特异性表达的互作蛋白质,运用DAVID6.8在线分析工具从细胞组分、分子功能、生物学过程和KEGG通路等方面对筛选出的互作蛋白质进行GO(gene ontology)富集分析。本实验共筛选出108个(肌)营养不良短小蛋白结合蛋白1在睾丸组织中的潜在互作蛋白质,其中98个为尚未报道的(肌)营养不良短小蛋白结合蛋白1相互作用蛋白质,7个为睾丸高表达蛋白质,5个为睾丸特异性表达的蛋白质。这些候选蛋白质主要分布在细胞质、细胞核、细胞膜、细胞外泌体等细胞组分中,通过与蛋白质、核酸等分子结合参与蛋白质翻译和转运、囊泡运输及凋亡等生物学过程以及氨基酸生物合成、溶酶体及蛋白酶体等生物学通路。我们推测,在睾丸组织中(肌)营养不良短小蛋白结合蛋白1可能通过与多种蛋白质相互作用参与精子的发生和受精等过程。 相似文献
6.
NDFl、IPFl和HNF4是与胰岛素基因表达有关的DNA结合蛋白,通过比较SWISSPROT蛋白质数据库中人类、小鼠、大鼠这三种核蛋白氨基酸一级序列、模体和结构域,发现其结构十分相似,根据蛋白质结构和功能的关系,推测这些DNA结合蛋白与胰岛素基因结合的核苷酸序列相似;从GenBanl(核酸数据库中获得人类、小鼠、大鼠胰岛素DNA序列,用ClustalW比较三者Promoter区的核苷酸序列,显示有一段核苷酸序列较为相似,同时搜索TRANSFAC基因转录数据库中NDFl、IPFl和NHF4蛋白核苷酸结合位点,发现核酸比对保守的部分序列与TRANSFAC数据库中这三个转录因子的DNA结合位点一致,另外一些核酸保守序列可能为其他未知DNA结合蛋白的结合位点。这种核酸序列比对设计为分子生物学实验寻找和验证胰岛素DNA结合蛋白与核苷酸的结合位点提供了简单而实用的方法。 相似文献
7.
(肌)营养不良短小蛋白结合蛋白1(dystrobrevin binding protein 1,dysbindin-1)是溶酶体相关细胞器生物发生复合体-1(biogenesis of lysosome related organelles complex 1, BLOC-1)的1个亚基,在多种组织细胞中广泛表达;然而,其在睾丸组织中的作用至今尚不明确。为寻找(肌)营养不良短小蛋白结合蛋白1在睾丸组织中的相互作用蛋白质,以进一步研究(肌)营养不良短小蛋白结合蛋白1在睾丸中的作用,本研究首先在Rosetta(DE3)菌种中表达可溶性GST-dysbindin-1融合蛋白,经谷胱甘肽 琼脂糖珠亲和纯化后,与小鼠的睾丸组织蛋白质孵育进行GST pull-down实验,并通过液相色谱串联质谱(LC MS/MS)分析筛选(肌)营养不良短小蛋白结合蛋白1在睾丸组织中的相互作用蛋白质。利用BioGPS数据库聚类在睾丸组织中高表达和特异性表达的互作蛋白质,运用DAVID6.8在线分析工具从细胞组分、分子功能、生物学过程和KEGG通路等方面对筛选出的互作蛋白质进行GO(gene ontology)富集分析。本实验共筛选出108个(肌)营养不良短小蛋白结合蛋白1在睾丸组织中的潜在互作蛋白质,其中98个为尚未报道的(肌)营养不良短小蛋白结合蛋白1相互作用蛋白质,7个为睾丸高表达蛋白质,5个为睾丸特异性表达的蛋白质。这些候选蛋白质主要分布在细胞质、细胞核、细胞膜、细胞外泌体等细胞组分中,通过与蛋白质、核酸等分子结合参与蛋白质翻译和转运、囊泡运输及凋亡等生物学过程以及氨基酸生物合成、溶酶体及蛋白酶体等生物学通路。我们推测,在睾丸组织中(肌)营养不良短小蛋白结合蛋白1可能通过与多种蛋白质相互作用参与精子的发生和受精等过程。 相似文献
8.
真核生物中锌指蛋白的结构与功能 总被引:3,自引:0,他引:3
真核生物中的许多蛋白质分子包含锌指结构区,这类蛋白称为锌指蛋白.锌指蛋白因其包含特殊的指状结构,在对DNA、蛋白质和RNA的识别和结合中起重要作用.许多锌指蛋白的锌指结构域包含能与DNA特异结合的区域,并与某些效应结构域(如KRAB、SCAN、BTB/POZ、SNAG、SANT和PLAG等)相连,这类锌指蛋白常作为转录因子起作用,可调控靶基因的转录.一些锌指蛋白包含蛋白质识别结构域(如LIM锌指、MYND锌指、PHD锌指和RING锌指等),它们能够特异地介导蛋白质之间的相互作用,因此被称作蛋白适配器.此外,某些锌指蛋白还可以结合RNA,起转录后调控作用.本文就锌指蛋白与DNA、RNA以及蛋白质分子间的相互作用作一综述. 相似文献
9.
筛选cDNA文库得到了人的钙周期蛋白结合蛋白基因 ,将此基因的全编码区克隆到原核表达载体pET2 8上 ,诱导目的蛋白质表达以后将重组蛋白质用亲和层析的方法进行纯化 ,得到了纯度很好的重组的目的蛋白质 ,以此作为抗原免疫动物 ,得到抗钙周期蛋白结合蛋白的特异多克隆抗体。Western印迹的结果表明 ,该基因在小鼠多种组织中广泛表达 ;免疫组化的结果表明 ,BT32 5细胞诱导分化后钙周期蛋白结合蛋白分布有变化 ,由分布于胞质中转向分布于胞核和核周胞质 相似文献
10.
棉铃虫触角气味物质结合蛋白的鉴别 总被引:3,自引:1,他引:2
昆虫触角内的气味物质结合蛋白odorant-bindingprotein(简称OBP)是触角嗅觉感受器淋巴液中的一类水溶性蛋白质,能和气味物质结合。OBP的发现可追溯到1970年,美国科学家Ruddifoad根据实验,推断触角中有某种蛋白质,和嗅觉有关~([1])。1981年Vogt和Riddifoal用标记激素证明了上述推论的正确性,把它称为外激素结合蛋白(pheromone-bindingprotein,缩写为PBP)~([2])。1990年Breer报道了另一类OBP──普通气味物质结合蛋白… 相似文献
11.
Apparent association constants for E. coli ribosomal proteins S4, S7, S8, S15, S17 and S20 binding to 16S RNA. 总被引:7,自引:4,他引:3
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We have previously reported the development of a technique utilizing nitrocellulose filters, which rapidly separates ribosomal protein-ribosomal RNA complexes from unbound protein. We have used this technique to obtain binding data for the association of proteins S4, S7, S8, S15, S17, and S20 with 16S RNA. With the exception of protein S17, the association behavior for each of these proteins exhibits a single binding site with a unique binding constant. The apparent association constants have been calculated and have been found to have a range from 1.6 x 10(6) M-1 for protein S7 to 7.1 x 10(7) M-1 for protein S17. The Scatchard plot for the protein S17 binding data is biphasic, suggesting that within the RNA population two different binding sites exist, each with a different apparent association constant. 相似文献
12.
《Expert review of proteomics》2013,10(1):41-48
DNA microarrays have changed the field of biomedical sciences over the past 10 years. For several reasons, antibody and other protein microarrays have not developed at the same rate. However, protein and antibody arrays have emerged as a powerful tool to complement DNA microarrays during the past 5 years. A genome-scale protein microarray has been demonstrated for identifying protein–protein interactions as well as for rapid identification of protein binding to a particular drug. Furthermore, protein microarrays have been shown as an efficient tool in cancer profiling, detection of bacteria and toxins, identification of allergen reactivity and autoantibodies. They have also demonstrated the ability to measure the absolute concentration of small molecules. Besides their capacity for parallel diagnostics, microarrays can be more sensitive than traditional methods such as enzyme-linked immunosorbent assay, mass spectrometry or high-performance liquid chromatography-based assays. However, for protein and antibody arrays to be successfully introduced into diagnostics, the biochemistry of immunomicroarrays must be better characterized and simplified, they must be validated in a clinical setting and be amenable to automation or integrated into easy-to-use systems, such as micrototal analysis systems or point-of-care devices. 相似文献
13.
Arraying proteins by cell-free synthesis 总被引:1,自引:0,他引:1
Recent advances in life science have led to great motivation for the development of protein arrays to study functions of genome-encoded proteins. While traditional cell-based methods have been commonly used for generating protein arrays, they are usually a time-consuming process with a number of technical challenges. Cell-free protein synthesis offers an attractive system for making protein arrays, not only does it rapidly converts the genetic information into functional proteins without the need for DNA cloning, but also presents a flexible environment amenable to production of folded proteins or proteins with defined modifications. Recent advancements have made it possible to rapidly generate protein arrays from PCR DNA templates through parallel on-chip protein synthesis. This article reviews current cell-free protein array technologies and their proteomic applications. 相似文献
14.
An alteration of the human c-abl protein in K562 leukemia cells unmasks associated tyrosine kinase activity 总被引:104,自引:0,他引:104
The v-abl protein is known to be a tyrosine-specific protein kinase. However, its normal cellular homolog, c-abl P150, is not detectably phosphorylated on tyrosine in vivo or in vitro. The lack of associated tyrosine kinase activity for the c-abl protein seems paradoxical since it is the c-abl-derived sequences of the v-abl protein that encode the kinase activity. We have detected an altered human c-abl protein (P210) with associated tyrosine kinase activity in the K562 leukemia cell line. K562 cells are known to have a 9:22 chromosomal translocation involving the c-abl locus and have amplified the c-able gene 4 to 8 fold. The altered P210 human c-abl is serologically and structurally related to the normal c-abl protein. A structural alteration of the human c-abl protein. K562 cells may have unmasked its associated tyrosine kinase activity. This altered c-abl protein may have important implications for a mechanism of activation of this oncogene. 相似文献
15.
Functional protein microarray is an important tool for high-throughput and large-scale systems biology studies.Besides the progresses that have been made for protein microarray fabrication,significant ... 相似文献
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17.
Protein immobilization strategies for protein biochips 总被引:1,自引:0,他引:1
In the past few years, protein biochips have emerged as promising proteomic and diagnostic tools for obtaining information about protein functions and interactions. Important technological innovations have been made. However, considerable development is still required, especially regarding protein immobilization, in order to fully realize the potential of protein biochips. In fact, protein immobilization is the key to the success of microarray technology. Proteins need to be immobilized onto surfaces with high density in order to allow the usage of small amount of sample solution. Nonspecific protein adsorption needs to be avoided or at least minimized in order to improve detection performances. Moreover, full retention of protein conformation and activity is a challenging task to be accomplished. Although a large number of review papers on protein biochips have been published in recent years, few have focused on protein immobilization technology. In this review, current protein immobilization strategies, including physical, covalent, and bioaffinity immobilization for the fabrication of protein biochips, are described. Particular consideration has been given to oriented immobilization, also referred to as site-specific immobilization, which is believed will improve homogeneous surface covering and accessibility of the active site. 相似文献
18.
R Y Yada R L Jackman S Nakai 《International journal of peptide and protein research》1988,31(1):98-108
The rapid increase in sequence data in combination with a greater understanding of the forces regulating protein structure has been the impetus for an upsurge in the development of theoretical prediction methods. These methods have afforded protein chemists the ability to identify and quantify the various secondary structures along the protein chain. Concurrently, various physico-chemical techniques have been developed such as nuclear Overhauser enhancement n.m.r. and laser Raman spectroscopy. In addition, traditional methods such as infrared and circular dichroism spectroscopy have been refined. Although both predictive and physico-chemical techniques are limited in the types of secondary structure they are capable of determining, they have provided valuable information with regards to protein folding and topology in the absence of X-ray data, and have formed the basis for the development of improved methods for secondary structure determination. This paper reviews some of the predictive and physico-chemical methods presently used to determine protein secondary structure. 相似文献
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《Genomics》2020,112(1):174-183
Protein complexes are one of the most important functional units for deriving biological processes within the cell. Experimental methods have provided valuable data to infer protein complexes. However, these methods have inherent limitations. Considering these limitations, many computational methods have been proposed to predict protein complexes, in the last decade. Almost all of these in-silico methods predict protein complexes from the ever-increasing protein–protein interaction (PPI) data. These computational approaches usually use the PPI data in the format of a huge protein–protein interaction network (PPIN) as input and output various sub-networks of the given PPIN as the predicted protein complexes. Some of these methods have already reached a promising efficiency in protein complex detection. Nonetheless, there are challenges in prediction of other types of protein complexes, specially sparse and small ones. New methods should further incorporate the knowledge of biological properties of proteins to improve the performance. Additionally, there are several challenges that should be considered more effectively in designing the new complex prediction algorithms in the future. This article not only reviews the history of computational protein complex prediction but also provides new insight for improvement of new methodologies. In this article, most important computational methods for protein complex prediction are evaluated and compared. In addition, some of the challenges in the reconstruction of the protein complexes are discussed. Finally, various tools for protein complex prediction and PPIN analysis as well as the current high-throughput databases are reviewed. 相似文献