细胞内氧递多肽

利用强力亦霉素处理需 O_2代谢生物,如:放线菌、真菌、昆虫、鱼、猪等动物的组织;植物的种子、根、茎叶都能获得一种多肽物质。该物质水溶性好,不易被饱和,热水不凝固不变性,也不被饱和硫酸铵[(NH_4)_2SO_4]沉淀,能发生双缩脲反应,即在碱性溶液(NaOH)中与稀(CuSO_4)溶液产生紫红色反应。制备方法:用乙醇溶解强力赤霉素,再用水按100ppm 浓度配好备用。从通气式发酵罐中放出已培养4—5天生长良好的土霉     

抗微生物多肽——防御素研究现状

防御素主要存在于哺乳类动物的中性粒细胞中,是一类小分子富含精氨酸多的多肽,具有特殊的空间结构。防御素对革兰氏阳性和阴性细菌、真菌、螺旋体、分技杆菌以及包膜病毒等病原微生物能产生较强的杀伤作用,有可能为新一代的“超级”抗生素。     

新发现的胰脏活性多肽

胰脏中除了人们所熟悉的胰岛素、胰高血糖素、生长激素释放抑制因子和胰多肽外,近几年又陆续发现了几个新的胰脏活性多肽。它们是甘丙肽(galanin),胰脏释放抑制因子(pancreastatin),胰岛淀粉样多肽(islet amyloid polypeptide)及胰岛素拮抗肽。本文着重介绍它们的结构与功能。对这些活性多肽的深入研究,无疑在理论上或临床实践中均将有其重要的意义。     

非核糖体多肽合成酶研究进展

细菌和真菌采用非核糖体系统合成一些重要的多肽类物质.近年来的研究表明,在该系统中发挥关键作用的是一类分子巨大的非核糖体多肽合成酶.它们由顺序排列的组件构成,酶分子结构本身即蕴涵着多肽合成的信息.对非核糖体多肽合成酶结构和功能的了解,使人们期望可以通过对这类酶的修饰和重组来合成一些新的多肽类物质.     

胞内随机序列多肽库的构建

根据达尔文的进化论思想发展起来的分子进化工程(Molecular Evolution Engineering),不仅有助于生命科学基础研究的发展,还有可能成为药物筛选的新手段.多肽进化是分子进化的一个重要组成部分,利用合成的随机序列寡核苷酸片段表达形成的多肽库(Random Peptide Library)包含一定长度多肽的所有可能的氨基酸排列顺序,通过一定模式的筛选,可定向筛选出有生物活性的肽段,用作药物或酶抑制剂.     

Multi-spectra peptide sequencing and its applications to multistage mass spectrometry

Despite a recent surge of interest in database-independent peptide identifications, accurate de novo peptide sequencing remains an elusive goal. While the recently introduced spectral network approach resulted in accurate peptide sequencing in low-complexity samples, its success depends on the chance of presence of spectra from overlapping peptides. On the other hand, while multistage mass spectrometry (collecting multiple MS 3 spectra from each MS 2 spectrum) can be applied to all spectra in a complex sample, there are currently no software tools for de novo peptide sequencing by multistage mass spectrometry. We describe a rigorous probabilistic framework for analyzing spectra of overlapping peptides and show how to apply it for multistage mass spectrometry. Our software results in both accurate de novo peptide sequencing from multistage mass spectra (despite the inferior quality of MS 3 spectra) and improved interpretation of spectral networks. We further study the problem of de novo peptide sequencing with accurate parent mass (but inaccurate fragment masses), the protocol that may soon become the dominant mode of spectral acquisition. Most existing peptide sequencing algorithms (based on the spectrum graph approach) do not track the accurate parent mass and are thus not equipped for solving this problem. We describe a de novo peptide sequencing algorithm aimed at this experimental protocol and show that it improves the sequencing accuracy on both tandem and multistage mass spectrometry.     

丙型肝炎病毒核壳蛋白抗原的化学合成及其在血清学诊断中的应用

选取丙型肝炎病毒(HCV)核壳蛋白区两个可能含有优势抗原表位的19和16氨基酸的肽殴(C-19肽和C-16肽),利用固相多肽合成技术进行了化学合成。经用反相高压液相层析(HPLC)及脉冲液相多肽测序技术检定合成肽产品的纯度及序列后,以C-19和C-16肽作为包被抗原组装成检测HCV血清抗体的ELISA诊断试剂。用所组装的合成肽试剂检测中国药品生物制品检定所提供的HCV标准参比血清,并比较利用该试剂和美国Abbott实验室生产的HCV第二代EIA诊断试剂平行检测109份献血员血清的结果,表明C-19肽能够特异、重复、灵敏地检出HCV血清抗体,可以作为我国第一代HCV诊断试剂的合成肽抗原。     

应用噬菌体随机肽库技术筛选丙肝病毒NS3抗原模拟表位

以抗 HCVNS3的单克隆抗体作为固相筛选分子 ,对人工合成的噬菌体随机 12肽库进行 5轮“吸附 洗脱 扩增”的筛选过程 ,随机挑取 4 2个克隆 ,经噬菌体酶联免疫吸附法 (ELISA)鉴定并进行交叉反应实验以及竞争抑制性结合实验 ,最后对所选克隆进行DNA序列分析 ,以确定HCVNS3抗原的模拟表位。经噬菌体富集后 ,从随机筛选的 4 2个克隆中得到 11个阳性克隆 ,确定氨基酸序列XXIXXXXMSNXX为HCVNS3的模拟表位。我们用噬菌体12肽库成功筛选得到HCVNS3的模拟表位 ,为开展用HCV模拟表位探索HCV的防治研究创造了条件     

水通道蛋白1-C末端肽段/GST融合蛋白的原核表达(简报)

水通道蛋白(Aquaporin,AQP)是一类选择性高效转运水分子的细胞膜通道蛋白,广泛存在于原核和真核生物细胞的细胞膜上,主要介导自由水分子的被动跨膜转运,对保持细胞内外液环境的稳态平衡起着重要的作用.     

A new hybrid resin for stepwise screening of peptide libraries combined with single bead Edman sequencing

A library system was developed for the discovery of bioactive peptides. Library synthesis and peptide sequencing was performed on a solid support while the screening for bioactivity was done with peptides in solution. The peptides were synthesized by split and mix, one-bead–one-peptide library synthesis, using a Tentagel S-NH₂ solid support with a loading of approximately 100 pmol/bead. The major part of the peptide was connected to the support by a single acid-labile linker and a minor part of the peptide was acid-stabile attached to the polymer. The percentage of acid-stabile attached peptides could easily be controlled during modification of the amino functionalities of the resin at the start of the process. The cleavage rate of the acid-labile attached peptide from the resin depends on the composition of the cleavage mixture. When cleavage conditions were carefully controlled, a three-step partial cleavage protocol allowed for convergent bioactivity screening on peptide libraries using only one type of acid-labile linker. The partial cleavage and convergent screening procedure was repeated three times, after which the bead containing the bioactive peptide was sequenced. As such a bead still contained acid-stabile attached peptide, the Edman sequencing was straightforward and repetitive yields were excellent because the immobilized peptide was not washed out. © 1998 European Peptide Society and John Wiley & Sons, Ltd.     

ABRF ESRG 2006 Study: Edman Sequencing as a Method for Polypeptide Quantitation

The Edman Sequencing Research Group (ESRG) designs studies on the use of Edman degradation for protein and peptide analysis. These studies provide a means for participating laboratories to compare their analyses against a benchmark of those from other laboratories that provide this valuable service. The main purpose of the 2006 study was to determine how accurate Edman sequencing is for quantitative analysis of polypeptides. Secondarily, participants were asked to identify a modified amino acid residue, N-epsilon-acetyl lysine [Lys(Ac)], present within one of the peptides. The ESRG 2006 peptide mixture consisted of three synthetic peptides. The Peptide Standards Research Group (PSRG) provided two peptides, with the following sequences: KAQYARSVLLEKDAEPDILELATGYR (peptide B), and RQAKVLLYSGR (peptide C). The third peptide, peptide C*, synthesized and characterized by ESRG, was identical to peptide C but with acetyl lysine in position 4. The mixture consisted of 20% peptide B and 40% each of peptide C and its acetylated form, peptide C*. Participating laboratories were provided with two tubes, each containing 100 picomoles of the peptide mixture (as determined by quantitative amino acid analysis) and were asked to provide amino acid assignments, peak areas, retention times at each cycle, as well as initial and repetitive yield estimates for each peptide in the mixture. Details about instruments and parameters used in the analysis were also collected. Participants in the study with access to a mass spectrometer (MALDI-TOF or ESI) were asked to provide information about the relative peak areas of the peptides in the mixture as a comparison with the peptide quantitation results from Edman sequencing. Positive amino acid assignments were 88% correct for peptide C and 93% correct for peptide B. The absolute initial sequencing yields were an average of 67% for peptide (C+C*) and 65.6 % for peptide B. The relative molar ratios determined by Edman sequencing were an average of 4.27 (expected ratio of 4) for peptides (C+C*)/B, and 1.49 for peptide C*/C (expected ratio of 1); the seemingly high 49% error in quantification of Lys(Ac) in peptide C* can be attributed to commercial unavailability of its PTH standard. These values compare very favorably with the values obtained by mass spectrometry.     

On preprocessing and antisymmetry in de novo peptide sequencing: improving efficiency and accuracy

Peptide sequencing plays a fundamental role in proteomics. Tandem mass spectrometry, being sensitive and efficient, is one of the most commonly used techniques in peptide sequencing. Many computational models and algorithms have been developed for peptide sequencing using tandem mass spectrometry. In this paper, we investigate general issues in de novo sequencing, and present results that can be used to improve current de novo sequencing algorithms. We propose a general preprocessing scheme that performs binning, pseudo-peak introduction, and noise removal, and present theoretical and experimental analyses on each of the components. Then, we study the antisymmetry problem and current assumptions related to it, and propose a more realistic way to handle the antisymmetry problem based on analysis of some datasets. We integrate our findings on preprocessing and the antisymmetry problem with some current models for peptide sequencing. Experimental results show that our findings help to improve accuracies for de novo sequencing.     

Direct N-terminal sequencing of polypeptides using a thermostable bacterial aminopeptidase and MALDI-TOF mass spectrometry

Mass spectrometry-based amino acid sequencing is currently based almost entirely on collision-induced peptide fragmentation and analyses. Here, we describe a single-stage MS-based technique for amino acid sequencing involving partial, heterogenous digestion of a peptide by a processive, non-specific, heat-loving Bacillus subtilis-derived aminopeptidase (BsuAP), which acts optimally at 70 °C and allows ‘single-shot’ sequencing to be carried out through simultaneous accumulation, and detection of sub-populations of peptides of progressively reducing length.     

Selective isolation and identification of N-terminal blocked peptides from tryptic protein digests.

A method for the easy isolation and direct sequencing of N-terminally blocked peptide in proteins refractory to N-terminal sequencing was developed. It is based essentially on tandem enzymatic treatments of the protein with trypsin and carboxypeptidase B, and selective isolation of the Nalpha-blocked peptide using ion-exchange chromatography. The chromatographic step was optimized for picomole amounts of sample and very short elution times by placing a thin layer of the resin over the membrane of an ultrafiltration tube. The isolated fraction can be analyzed directly using MALDI or ESI mass spectrometry. The method was applied to several recombinant and natural N-terminal acetylated proteins. A critical discussion on the intrinsic limitations of the method is also given.     

Modeling and characterization of multi-charge mass spectra for peptide sequencing

Peptide sequencing using tandem mass spectrometry data is an important and challenging problem in proteomics. We address the problem of peptide sequencing for multi-charge spectra. Most peptide sequencing algorithms currently consider only charge one or two ions even for higher-charge spectra. We give a characterization of multi-charge spectra by generalizing existing models. Using our models, we analyzed spectra from Global Proteome Machine (GPM) [Craig R, Cortens JP, Beavis RC, J Proteome Res 3:1234-1242, 2004.] (with charges 1-5), Institute for Systems Biology (ISB) [Keller A, Purvine S, Nesvizhskii AI, Stolyar S, Goodlett DR, Kolker E, OMICS 6:207-212, 2002.] and Orbitrap (both with charges 1-3). Our analysis for the GPM dataset shows that higher charge peaks contribute significantly to prediction of the complete peptide. They also help to explain why existing algorithms do not perform well on multi-charge spectra. Based on these analyses, we claim that peptide sequencing algorithms can achieve higher sensitivity results if they also consider higher charge ions. We verify this claim by proposing a de novo sequencing algorithm called the greedy best strong tag (GBST) algorithm that is simple but considers higher charge ions based on our new model. Evaluation on multi-charge spectra shows that our simple GBST algorithm outperforms Lutefisk and PepNovo, especially for the GPM spectra of charge three or more.