不同培养基对SELDI-TO FMS细菌蛋白指纹图谱的影响

目的检测不同培养基对细菌蛋白SELDI-TOF MS指纹图谱的影响。方法 3株参考菌株分别接种在不同培养基中,利用SELDI-TOF MS检测蛋白指纹图谱,分析其异同。结果在所有培养基中参考菌株ATCC 12600、ATCC 25922和ATCC 27853蛋白质谱图恒定表达的蛋白峰个数为11、11、9个,同时菌株在不同培养基中也表达少量其独特的蛋白峰。结论比较不同培养基上生长的同株菌蛋白指纹图谱,显示在不同培养基其细菌特征蛋白恒定表达。     

大肠埃希菌蛋白指纹图谱的建立

目的建立大肠埃希菌（Escherichia coli,E．coli）蛋白指纹图谱,为Ecoli感染快速诊断奠定基础。方法收集临床分离E.coli88株,提取细菌DNA,PCR检测Ecoli 16S rRNA。蛋白提取液提取细菌蛋白,干化学法测蛋白浓度,应用表面增强激光解析电离飞行时间质谱技术（SELDI-TOF-MS）检测Ecoli蛋白,采用Ciphergen Pro-teinchip软件自动采集数据。重复测定20次Ecoli混合标本,评价SELDI检测Ecoli蛋白分子量的重复性。结果E．coil标准菌株ATCC 25922和临床分离株均可检出16S rRNA。AU芯片能捕获近30个E．coli蛋白峰,其中19个蛋白峰构成E．coli特征性蛋白指纹图谱,各蛋白峰在临床分离E．coli间分子量变异系数≤0．2％。SELDI重复检测20次E．coli混合标本显示同一蛋白峰的分子量变异系数≤0．05％。结论E．coli在分子量3～20kD范围内具有特征性蛋白指纹图谱,为快速诊断E.coli感染提供了新思路。     

临床常见革兰氏阳性球菌蛋白指纹库的构建

为建立临床常见革兰氏阳性球菌的蛋白指纹库,为快速鉴定这些细菌奠定基础,收集了从临床中分离获得的185株革兰氏阳性球菌,包括金黄色葡萄球菌、表皮葡萄球菌、溶血性葡萄球菌、粪肠球菌和屎肠球菌。将这些菌株分成建模组和验证组,利用表面增强激光解析电离飞行时间质谱检测细菌蛋白,用ProteinChip和Biomarker Wizard软件对建模组细菌数据进行分析,筛选出每种细菌各自稳定表达的蛋白峰,并将数据导入自建的Fingerwave软件建立了临床常见革兰氏阳性球菌的蛋白指纹库。随后,将验证组细菌的蛋白峰数据与蛋白指纹库中蛋白峰数据进行相似度分析,以评价其鉴定符合率。建立了包含5种临床常见革兰氏阳性球菌的蛋白指纹库,利用其对验证组菌株进行鉴定,与应用传统微生物学鉴定及分子生物学方法获得的鉴定结果的符合率为100%。结果表明,进一步扩大并完善革兰氏阳性球菌的蛋白指纹库,将为临床病原菌的快速鉴定提供可能。     

分枝杆菌特征性蛋白的筛选

目的研究分枝杆菌蛋白表达,筛选分枝杆菌特征性蛋白,为分枝杆菌的快速鉴定奠定基础。方法选取分枝杆菌标准菌株,提取细菌蛋白,干化学法测蛋白浓度,应用表面增强激光解吸电离飞行时间质谱技术（SELDI-TOF-Ms）检测分枝杆菌蛋白表达,和非分枝杆菌蛋白指纹图谱比较,筛选分枝杆菌特征性蛋白。重复测定20次分枝杆菌蛋白标本,评价SELDI检测分枝杆菌蛋白分子量的重复性。结果耻垢分枝杆菌ATCC 14468有约20个蛋白峰,结核分枝杆菌ATCC 25177、土地分枝杆菌ATCC 15755、胞内分枝杆菌ATCC 13950、耻垢分枝杆菌ATCC 607有近40个蛋白峰。与非分枝杆菌蛋白指纹图谱相比,4个蛋白峰为分枝杆菌所特有。SELDI重复检测20次分枝杆菌蛋白标本显示同一蛋白峰的分子量变异系数≤0．05％。结论分枝杆菌有其特征性蛋白峰,可能有助于分枝杆菌的快速鉴定。     

苏云金杆菌4.0718菌株杀虫晶体蛋白的双向电泳飞行时间质谱分析

根据苏云金杆菌4.0718菌株杀虫晶体蛋白的特性,对裂解液组成、上样量、聚焦时间等相关技术进行了比较研究和条件优化,首次获得苏云金杆菌杀虫晶体蛋白双向电泳图谱,并对部分蛋白质点进行胰酶酶解,基质辅助激光解吸电离飞行时间质谱（matrixassisted laser desorption/ionization time of flight mass spectrometry,MALDITOFMS）测定肽质量指纹图谱,Mascot软件查询SwissProt数据库,最终鉴定出苏云金杆菌4.0718菌株伴孢晶体中所含的Cry1Ac和Cry2Aa蛋白,其精确分子量分别为134160Da和71097Da。     

基质辅助激光解吸电离飞行时间质谱技术用于常见益生菌鉴定的初步研究

目的建立基质辅助激光解吸电离飞行时间质谱(MADLI-TOF MS)技术鉴定常见益生菌的实验方法并对MADLI-TOF MS技术的适用性进行初步评价。方法对MADLI-TOF MS技术鉴定常见益生菌过程中各影响因素进行考察,筛选出最佳的实验条件。利用19株供试菌株所得的蛋白指纹图谱对MADLI-TOF MS技术的适用性进行研究。结果建立了MADLI-TOF MS技术鉴定常见益生菌的最佳实验方法。初步证明MADLI-TOF MS技术具备在属、种、亚种以及菌株水平上鉴定常见益生菌的能力。结论建立的实验方法稳定性高、重复性好,可以作为MADLI-TOF MS技术鉴定常见益生菌的参考方法。MADLI-TOF MS技术可以作为常见益生菌鉴定的方法之一。     

MALDI TOF MS在细菌检测和鉴定中的应用

近年来质谱技术有了快速的发展,新的软电离技术,基质辅助激光解析电离和电喷雾电离使得质谱能够对核酸或蛋白质,多肽等生物大分子进行微量分析,且具有高灵敏度和高质量检测范围,通过串联质谱的分析还可以得到结构信息。MALDI TOF MS能给出微生物多方面的信息,包括分子量和结构信息等,用于微生物的各种研究中,如根据细菌的组成成分获得指纹图谱检测和鉴定细菌,细菌体内含有大量的生物标志分子能用于细菌的化学分类和鉴定。     

僵蚕药材蛋白质分级指纹图谱建立及产地鉴定相关分子研究

建立云南与四川僵蚕药材的总蛋白质指纹图谱及分级指纹图谱,对比分析以发现其中的差异表达蛋白质分子并进行鉴定及生物信息学分析,探索其用于产地鉴定的可行性。提取两种僵蚕的酸溶、碱溶、水溶及醇溶性总蛋白质,对其进行丙酮分级沉淀,对所得样品进行SDS-PAGE指纹图谱对比分析,对所得差异条带进行LC-MS/MS分析,数据库检索后进行生物信息学分析。两种僵蚕的总蛋白质指纹图谱相似度很高,难以据此进行产地鉴定;两种僵蚕的分级指纹图谱则有较显著差异,有望用于产地鉴定;依据分级指纹图谱差异共鉴定出β-葡萄糖苷酶、抗胰凝乳蛋白酶、抗胰蛋白酶、含脂肪酶结构域蛋白等273种蛋白质。云南与四川僵蚕的蛋白质组成及其分级指纹图谱存在显著差异,有望用作产地鉴定的分子依据;醇溶蛋白质构建分级指纹图谱可以提供更加丰富的信息及更好的分辨率;分级指纹图谱技术具有简便易行、分辨率较高的优点,为其他中药材的产地鉴定研究提供了方法学思路。     

鸭疫里默氏杆菌强、弱菌株外膜蛋白的比较蛋白质组学研究

应用双向电泳及质谱技术对血清2型鸭疫里默氏杆菌强毒株及其体外传代200代(RA200)的弱毒菌株的外膜蛋白进行比较蛋白质组学研究,借此分析鸭疫里默氏杆菌的外膜蛋白表达特点,研究差异表达蛋白与细菌毒力的关系.在实验中检测到血清2型鸭疫里默氏杆菌原代及其体外传代获得的弱毒菌株的外膜蛋白约表达60个蛋白质点(n=3),其中相差5倍以上3个.胶内酶解和肽质量指纹图谱分析后鉴定,W1为热休克蛋白Hsp20家族成员,W2、W3为转座酶,推测它们可能与里默氏杆菌的毒力密切相关.     

家蚕脂肪体蛋白质组学研究

通过高精度的双向电泳技术对家蚕末龄幼虫的脂肪体组织进行了研究,采用基质辅助质量飞行时间质谱对其中一些表达量较高的蛋白点进行了鉴定,并利用GPMAW软件结合家蚕基因组预测的蛋白质数据库构建了本地的肽质量指纹图谱数据库,对所得到的肽质量指纹图谱进行了分析。研究发现,经过双向凝胶电泳及其图象分析技术,银染可以分离出722个清晰蛋白点,这些蛋白质主要集中在分子量15～90kD区域,等电点pH4～8之间。MALDI-TOF-MS鉴定的41个蛋白点中都有较强的肽质量指纹信号峰,其中34个蛋白点得到了成功鉴定,其中包括了大量参与代谢的酶类、不同分子量的热激蛋白、重要的血液蛋白30K,Actin3等,这一结果对人们进一步认识家蚕脂肪体提供了有利的帮助。     

Highly efficient classification and identification of human pathogenic bacteria by MALDI-TOF MS

Accurate and rapid identification of pathogenic microorganisms is of critical importance in disease treatment and public health. Conventional work flows are time-consuming, and procedures are multifaceted. MS can be an alternative but is limited by low efficiency for amino acid sequencing as well as low reproducibility for spectrum fingerprinting. We systematically analyzed the feasibility of applying MS for rapid and accurate bacterial identification. Directly applying bacterial colonies without further protein extraction to MALDI-TOF MS analysis revealed rich peak contents and high reproducibility. The MS spectra derived from 57 isolates comprising six human pathogenic bacterial species were analyzed using both unsupervised hierarchical clustering and supervised model construction via the Genetic Algorithm. Hierarchical clustering analysis categorized the spectra into six groups precisely corresponding to the six bacterial species. Precise classification was also maintained in an independently prepared set of bacteria even when the numbers of m/z values were reduced to six. In parallel, classification models were constructed via Genetic Algorithm analysis. A model containing 18 m/z values accurately classified independently prepared bacteria and identified those species originally not used for model construction. Moreover bacteria fewer than 10(4) cells and different species in bacterial mixtures were identified using the classification model approach. In conclusion, the application of MALDI-TOF MS in combination with a suitable model construction provides a highly accurate method for bacterial classification and identification. The approach can identify bacteria with low abundance even in mixed flora, suggesting that a rapid and accurate bacterial identification using MS techniques even before culture can be attained in the near future.     

Rapid typing of bacteria using matrix-assisted laser desorption ionisation time-of-flight mass spectrometry and pattern recognition software.

Matrix-assisted laser desorption ionisation time-of-flight mass spectrometry (MALDI-TOF-MS) of intact microorganisms, also known as intact cell MALDI-TOF-MS (ICM-MS), has been shown to produce characteristic mass spectral fingerprints of moieties desorbed from the cell surface. ICM-MS spectra can be obtained in minutes after removal of a colony from a culture plate. The similarity of ICM-MS spectra of replicate samples and of two different batches of the same bacterial strain demonstrates, in this study, the reproducibility of the technique. We have developed the Manchester Metropolitan University Search Engine (MUSE) to rapidly build and search databases of ICM-MS spectra. A database of 35 strains, representing 20 species and 12 genera, was built with MUSE and used to identify 212 isolates. The database was created in 26 s and loaded in 10 s, ready for searching, which took less than 1 s per isolate. Correct matches were made in 79%, 84% and 89% of the 212 samples at strain, species and genus levels, respectively. At least 50% of the replicates of 42 of the 45 isolates matched the correct strain, and the most commonly identified species for 43 of the 45 isolates was the correct one. The close match of the Escherichia coli strains containing the O157 antigen and the E. coli strains containing the K1 antigen suggests that these antigens may have a dominating influence on the ICM-MS fingerprints of these strains. We now have the ability to acquire ICM-MS fingerprints of bacteria and to search a database of these fingerprints within minutes, so that the rapid identification of bacteria to the strain level can be realised.     

Intact cell mass spectrometry (ICMS) used to type methicillin-resistant Staphylococcus aureus: media effects and inter-laboratory reproducibility.

Intact cell mass spectrometry (ICMS) rapidly analyses the surface composition of microorganisms providing rapid, discriminatory fingerprints for identification and subtyping of important nosocomial pathogens such as methicillin resistant Staphylocccus aureus (MRSA). In this study, ICMS using matrix-assisted laser desorption ionisation time-of-flight mass spectrometry (MALDI TOF/MS) was assessed for the identification and subtyping of MRSA. An intra- and inter-laboratory reproducibility study was carried out and the effects of culture media (an important source of variation for ICMS) were also studied. Several media used for the cultural identification of MRSA were examined using a panel of well-characterised staphylococcal isolates (n=26). Six MRSA isolates were analysed over a 1-month period for intra-laboratory reproducibility on the same instrument and three different culture media. Spectra were consistent for each isolate between the four experiments on the same culture medium. Individual isolates produced different spectral profiles on different culture media. Spectra from organisms grown on Columbia blood agar contained more peaks (approximately 120) compared to Columbia agar (approximately 50) and methicillin mannitol salt agar (approximately 25). All 26 staphylococcal isolates were subjected to an inter-laboratory study on two MALDI instruments. For each isolate, the overall spectral profile was the same for each of the two instruments but the baseline threshold values was adjusted due to instrument differences in detector sensitivities. Differences between certain regions of the spectra reproducibly identified isolates belonging to the two major MRSA strains (EMRSA phage group 15 and 16). These results demonstrate ICMS with appropriate media selection is a rapid and reproducible technique for identification and discrimination of MRSA.     

Development of a method based on surface enhanced laser desorption and ionization time of flight mass spectrometry for rapid identification of <Emphasis Type="Italic">Klebsiella pneumoniae</Emphasis>

A method based on surface enhanced laser desorption and ionization time of flight mass spectrometry (SELDI-TOF MS) was developed for the rapid identification of Klebsiella pneumoniae by directly applying bacterial colonies without further protein extraction. A total of 40 K. pneumoniae and 114 other related microorganisms isolated clinically were analyzed by SELDI-TOF MS. An identification model for K. pneumoniae was established by artificial neural networks (ANNs) with classification accuracy of 100%. The model was blindly tested with 43 K. pneumoniae and 53 control bacteria again. The results showed that the model was successful with accuracy of 96.9%, sensitivity of 100% and specificity of 943%. This strategy is potential for rapid identification of K. pneumoniae.     

Sample preparation of Gram-positive bacteria for identification by matrix assisted laser desorption/ionization time-of-flight.

A new sample preparation method was developed for fresh, whole-cell Gram-positive bacteria to be analyzed by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI ToF MS). With fresh, whole-cell Gram-negative bacteria of the Enterobacteriaceae family, we had previously achieved spectra consisting of >50 peaks and mass ranges of 2-25 kDa. Because similar spectral quantity could not be achieved for Gram-positive bacteria, using this same protocol, we investigated an alternative approach that focuses on the thick peptidoglycan layer of the cell wall. Gram-positive bacteria were incubated with 0.05-0.5 mg/ml lysozyme for 30 min prior to being analyzed by MALDI ToF MS. Lysozyme is an enzymatically stable, 14-kDa protein that specifically cleaves between peptidoglycan disaccharide subunits. A significant increase in overall number of peaks (>50) in the 2-14 kDa range was observed without interference from the presence of lysozyme. We show that for four different species (Staphylococcus aureus, S. haemolyticus, Streptococcus pyogenes, and S. agalactiae) reproducible subset of peaks were found within spectra from a reference strain and two unrelated clinical isolates. The data suggests that this sample preparation may be useful for increasing the overall number of peaks within spectra for subsequent development of bacterial identification strategies.     

The nucleotide-independent Fe(III)-binding site is located on beta subunit of the mitochondrial F(1)-ATPase

The need for methods to identify disease biomarkers is underscored by the survival-rate of patients diagnosed at early stages of cancer progression. Surface enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) is a novel approach to biomarker discovery that combines two powerful techniques: chromatography and mass spectrometry. One of the key features of SELDI-TOF MS is its ability to provide a rapid protein expression profile from a variety of biological and clinical samples. It has been used for biomarker identification as well as the study of protein-protein, and protein-DNA interaction. The versatility of SELDI-TOF MS has allowed its use in projects ranging from the identification of potential diagnostic markers for prostate, bladder, breast, and ovarian cancers and Alzheimer's disease, to the study of biomolecular interactions and the characterization of posttranslational modifications. In this minireview we discuss the application of SELDI-TOF MS to protein biomarker discovery and profiling.     

Differential analysis of protein expression of Bifidobacterium grown on different carbohydrates

We observed recently that colonic fermentation of lactose might be a major factor in the pathophysiology of lactose intolerance. Proteomic techniques could be helpful in interpreting the metabolic pathways of lactose fermentation. The objective of this study was to explore proteomic methodologies for studying bacterial lactose metabolism that can be used to detect and identify proteins associated with the onset of intolerance symptoms. Differential expression of cytoplasmic proteins of Bifidobacterium animalis, Bifidobacterium breve and Bifidobacterium longum grown on different carbohydrates (lactose, glucose, galactose) was analyzed with surface-enhanced laser desorption ionization-time of flight (SELDI-TOF) MS and sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE). After fractionation by SDS-PAGE, differentially-expressed proteins were identified with LC-MS/MS. The three strains grown on the same carbohydrate or the same strain grown on glucose or lactose showed differences in SELDI-TOF MS protein profiles. Differences in protein expression were observed in B. breve grown on glucose, galactose or lactose as analyzed with SDS-PAGE. With LC-MS/MS, proteins from Bifidobacterium were identified, which included enzymes for metabolism of lactose, glucose and galactose. In conclusion, the applied techniques can discern differences in protein expression of bacteria metabolizing different carbohydrates. These techniques are promising in studying metabolism of lactose and other substrates in a complex bacterial ecosystem such as the colonic microbiota.     

Application of Rep-PCR fingerprint in rapid identification of beer-spoilage bacteria

The application potential of rep-PCR in typing beer-spoilage isolates was studied. The effects of different factors, including DNA templates and primers, on the quality and reproducibility of fingerprints were investigated. The CATB protocol was shown to be the feasible method for DNA extraction. Primers BOXA1R and (GTG)₅ were used in rep-PCR, and the PCR products were sequenced to identify strains isolated from two breweries. Rep-PCR fingerprint profiles were obtained using GelCompar II software. Cluster analysis showed that the isolates belonging to Lactobacillus brevis, L. buchneri, L. casei/paracasei, and L. plantarum are divided into 2 or 3 subgroups. In addition, the two rep-PCR fingerprint profiles complemented each other in typing these isolates. By combining the similarity coefficient cut-off (SCC) of species, 9 unknown isolates were rapidly identified using both fingerprint databases. The results indicate that rep-PCR is a simple, reliable, and promising method for the rapid identification of beer-spoilage bacteria.     

Characterization of bacteria in ballast water using MALDI-TOF mass spectrometry

To evaluate a rapid and cost-effective method for monitoring bacteria in ballast water, several marine bacterial isolates were characterized by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). Since International Maritime Organization (IMO) regulations are concerned with the unintended transportation of pathogenic bacteria through ballast water, emphasis was placed on detecting species of Vibrio, enterococci and coliforms. Seawater samples collected from the North Sea were incubated in steel ballast tanks and the presence of potentially harmful species of Pseudomonas was also investigated. At the genus-level, the identification of thirty six isolates using MALDI-TOF MS produced similar results to those obtained by 16S rRNA gene sequencing. No pathogenic species were detected either by 16S rRNA gene analysis or by MALDI-TOF MS except for the opportunistically pathogenic bacterium Pseudomonas aeruginosa. In addition, in house software that calculated the correlation coefficient values (CCV) of the mass spectral raw data and their variation was developed and used to allow the rapid and efficient identification of marine bacteria in ballast water for the first time.