基于核糖体蛋白质标志物及MALDI-TOF MS技术快速鉴定伦茨菌属放线菌

【目的】伦茨菌属(Lentzea)放线菌(Actinobacteria)代谢产物具有广泛的生物活性,在医药领域展现出潜在的应用价值。本研究尝试建立以核糖体蛋白质为标志物,利用基质辅助激光解吸电离飞行时间质谱(matrix-assisted laser desorption/ionization-time of flight masss pectrometry,MALDI-TOF MS)技术鉴定伦茨菌属放线菌的方法。【方法】检索基因组数据库,提取伦茨菌属菌种模式菌株15种核糖体蛋白质的序列并计算理论分子量;通过分子量比对分析伦茨菌属菌种模式菌株之间及其与邻近属菌种模式菌株之间15种核糖体蛋白质的匹配度,提出鉴定至菌种及属的核糖体蛋白质匹配数标准;选取目标属和非目标属菌种进行MALDI-TOFMS测试和分析并修正鉴定标准。【结果】将待测菌株的MALDI-TOF质谱峰与伦茨菌属各菌种模式菌株的15种核糖体蛋白质分别匹配,通过最大匹配数及质谱峰强度模式可鉴定至属或种。【结论】本研究建立了基于15种核糖体蛋白质标志物及MALDI-TOF MS技术鉴定伦茨菌属放线菌的方法,可为放线菌纲其他类群的快...     

Rapid identification of Streptomyces isolates by MALDI-TOF MS

The recent emergence of multidrug-resistant bacteria over the last decade has led to a renewal in the discovery of new antimicrobial drugs. Streptomyces members are practically unlimited sources of new antibiotics. However, the identification of Streptomyces species is difficult and time-consuming. Therefore, there is a need for alternative methods for their rapid identification. In this study, an efficient protocol of identification using Matrix-Assisted Laser Desorption Ionization Time-Of-Flight Mass Spectrometry (MALDI-TOF MS) was developed and applied for the rapid identification of Streptomyces isolates from the El Kala lakes in northeastern Algeria. A collection of 48 Streptomyces isolates were used for this study. The optimized procedure allowed us to obtain specific and reproducible protein spectra for each Streptomyces isolate tested. The spectra generated were used to build a preliminary local database based on their initial 16S rRNA identification. The blind test used for the identification of 20 Streptomyces strains already available in our created database and 20 unknown Streptomyces isolates showed that all (100%) of the Streptomyces strains listed in the database were rapidly (<30 min) identified with high scores of up to 2.8. Here, for the first time we showed that MALDI-TOF MS could be used as a cost-effective tool for the rapid identification of Streptomyces isolates.     

Rapid identification of Legionella spp. by MALDI-TOF MS based protein mass fingerprinting

A set of reference strains representing 38 different Legionella species were submitted to Whole Cell Mass Spectrometry (WCMS) with MALDI-TOF.The dendrogram computed from strain mass spectral patterns obtained by WCMS was compared to the phylogenetic tree obtained from macrophage infectivity potentiator (mip) sequences. The trees inferred from these two methods revealed significant homologies.Using 453 Legionella isolates previously characterized by genotyping, it was possible to create species-specific SuperSpectra, using appropriate sets of spectral masses, allowing unambiguous differentiation and identification of the most frequently isolated Legionella species. These SuperSpectra were tested for their suitability to identify Legionella strains isolated from water samples, cooling towers, potting soils and patient specimens deposited at the Swiss National Reference Centre for Legionella and previously identified by molecular methods such as mip gene sequencing.99.1% of the tested strains isolated from the environment could be correctly identified by comparison with the new SuperSpectra. The identification of Legionella spp. by MALDI-TOF MS is rapid, easy to perform and has the advantage of being time- and cost-saving, in comparison to sequence-based identification.     

Ribosomal proteins as biomarkers for bacterial identification by mass spectrometry in the clinical microbiology laboratory

Whole-cell matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) is a rapid method for identification of microorganisms that is increasingly used in microbiology laboratories. This identification is based on the comparison of the tested isolate mass spectrum with reference databases. Using Neisseria meningitidis as a model organism, we showed that in one of the available databases, the Andromas database, 10 of the 13 species-specific biomarkers correspond to ribosomal proteins. Remarkably, one biomarker, ribosomal protein L32, was subject to inter-strain variability. The analysis of the ribosomal protein patterns of 100 isolates for which whole genome sequences were available, confirmed the presence of inter-strain variability in the molecular weight of 29 ribosomal proteins, thus establishing a correlation between the sequence type (ST) and/or clonal complex (CC) of each strain and its ribosomal protein pattern. Since the molecular weight of three of the variable ribosomal proteins (L30, L31 and L32) was included in the spectral window observed by MALDI-TOF MS in clinical microbiology, i.e., 3640–12000 m/z, we were able by analyzing the molecular weight of these three ribosomal proteins to classify each strain in one of six subgroups, each of these subgroups corresponding to specific STs and/or CCs. Their detection by MALDI-TOF allows therefore a quick typing of N. meningitidis isolates.     

MALDI-TOF-MS方法快速鉴定食品中空肠弯曲菌的技术研究

运用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)技术快速鉴定食品中空肠弯曲菌.通过对该方法的样品前处理的选择、稳定性、特异性等方面进行研究,确定了方法...     

The identification of anaerobic bacteria using MALDI-TOF MS

Matrix Assisted Laser Desorption and Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) has gained more and more popularity for the identification of bacteria. Several studies show that bacterial diagnosticis is being revolutionized by the application of MALDI-TOF MS. For anaerobic bacteria, MALDI-TOF MS has been used for the identification of Prevotella spp., Fusobacterium spp., Clostridium spp., Bacteroides spp. and Gram-positive anaerobic cocci. However, to identify bacteria reliably, an extensive database is essential. For routine identification of anaerobic bacteria available databases need to be optimised.     

Photocleavable peptide-oligonucleotide conjugates for protein kinase assays by MALDI-TOF MS

Robust methods for highly parallel, quantitative analysis of cellular protein tyrosine kinase activities may provide tools critically needed to decipher oncogenic signaling, discover new targeted drugs, diagnose cancer and monitor patients. Here, we describe proof-of-principle for a novel protein kinase assay with the potential to help overcome these challenges. MALDI-TOF mass spectrometry provides an ideal tool for label-free multiplexed analysis of peptide phosphorylation, but is poorly matched to homogeneous assays and complex samples. Thus, we conjugated a common oligonucleotide tag to multiple peptide substrates, offering efficient capture from solution-phase kinase reactions by annealing to the complementary sequence tethered to PEG-passivated superparamagnetic microparticles. To enable reversible conjugation, we developed a novel bifunctional cross-linker allowing simple and efficient preparation of photocleavable peptide-oligonucleotide conjugates. After washing away contaminants and following photorelease, MALDI-TOF analysis yielded relative phosphorylation of each peptide with high sensitivity and specificity. Validating the hybridization-mediated multiplexed kinase assay, when three peptide substrate-oligonucleotide conjugates were mixed with the tyrosine kinase c-Abl and ATP, we readily observed their differential phosphorylation yet measured a common IC(50) for the Abl kinase inhibitor imatinib. This new assay enables analysis of protein kinase activities in a multiplexed format amenable to screening inhibitors against multiple kinases in parallel, an important capability for drug discovery and predictive diagnostics.     

利用基因组学和MALDI-TOF MS技术鉴定放线菌纲细菌的核糖体蛋白质标志物

【目的】基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)法基于微生物的特征蛋白指纹图谱鉴定菌种,本研究利用基因组学和MALDI-TOFMS技术鉴定放线菌纲细菌的核糖体蛋白质标志物。【方法】从MALDI-TOF MS图谱数据库选取放线菌纲代表菌种,在基因组数据库检索目标菌种,获取目标菌株或其参比菌株的核糖体蛋白质序列,计算获得分子质量理论值,用于注释目标菌株MALDI-TOFMS指纹图谱中的核糖体蛋白质信号。【结果】从8目,24科,53属,114种,142株放线菌的MALDI-TOFMS图谱中总共注释出31种核糖体蛋白质。各菌株的指纹图谱中核糖体蛋白质信号数量差异显著。各种核糖体蛋白质信号的注释次数差异显著。总共15种核糖体蛋白质在超过半数图谱中得到注释,注释次数最高的是核糖体大亚基蛋白质L36。【结论】本研究找到了放线菌纲细菌MALDI-TOF MS图谱中常见的15种核糖体蛋白质信号,可为通过识别核糖体蛋白质的质谱特征峰鉴定放线菌的方法建立提供依据。     

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.     

Wine yeast typing by MALDI-TOF MS

For the production of wine, the most important industrially used yeast species is Saccharomyces cerevisiae. Years of experience have shown that wine quality and property are significantly affected by the employed strain conducting the fermentation. Consequently, the ability of a strain level differentiation became an important requirement of modern winemaking. In our study, we showed that the differentiation by time-consuming and laborious biochemical and DNA-based methods to enable a constant beverage quality and characteristics can be replaced by matrix-assisted-laser-desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), accompanied by the additional benefit of an application prediction. Mass fingerprints of 33 Saccharomyces strains, which are commonly used for varying wine fermentations, were generated by MALDI-TOF MS upon optimized sample preparation and instrument settings and analyzed by a cluster analysis for strain or ecotype-level differentiation. As a reference method, delta-PCR was chosen to study the genetic diversity of the employed strains. Finally, the cluster analyses of both methods were compared. It could be shown that MALDI-TOF MS, acting at proteome level, provides valuable information about the relationship between yeast strains and their application potential according to their MALDI mass fingerprint.     

机器学习在MALDI-TOF MS鉴定微生物中的应用

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)是一种新兴的高通量技术,已广泛应用于临床微生物、食品微生物和水产微生物的快速鉴定。如何进一步提高MALDI-TOF MS在微生物鉴定中的分辨率是该技术当前面临的一大挑战。为了高效处理大量高维微生物MALDI-TOF MS数据,各种机器学习算法得到了应用。本文综述了机器学习在微生物MALDI-TOFMS鉴定中的应用。首先,本文在介绍机器学习在微生物MALDI-TOF MS分类中的工作流程后,进一步对MALDI-TOF MS的数据特征、MALDI-TOF MS数据库、数据的预处理和模型的性能评估进行了描述。然后讨论了典型的机器学习分类算法和集成学习算法的应用。简单的机器学习算法很难满足微生物MALDI-TOF MS分类的高分辨率的需求,而组合不同机器学习算法和集成学习算法可以获得更好的微生物分类性能。在MALDI-TOF MS数据的预处理方面,小波算法和遗传算法的应用最广,它们...     

Large scale MALDI-TOF MS based taxa identification to identify novel pigment producers in a marine bacterial culture collection

A challenge in the rational exploitation of microbial culture collections is to avoid superfluous testing of replicas. MALDI-TOF MS has been shown to be an efficient dereplication tool as it can be used to discriminate between bacterial isolates at the species level. A bacterial culture collection of more than 10,000 heterotrophic marine bacterial isolates from sea-water surface layers of the Norwegian Trondheimsfjord and neighbouring coastal areas has been established. A sub-collection of pigmented isolates was earlier screened for novel carotenoids with UVA-Blue light absorbing properties. This was a comprehensive analytical task and it was observed that a significant number of extracts with identical pigment profile were recovered. Hence, this study was undertaken to explore the use of MALDI-TOF MS as a dereplication tool to quickly characterize the bacterial collection. Furthermore, LC-DAD-MS analysis of pigment profiles was performed to check if pigment profile diversity was maintained among isolates kept after the potential MALDI-TOF MS selection step. Four hundred isolates comprising both pigmented and non-pigmented isolates were used for this study. The resulting MALDI-TOF MS dendrogram clearly identified a diversity of different taxa and these were supported by the pigment profile clustering, thus linking the pigment production as species-specific properties. Although one exception was found, it can be concluded that MALDI-TOF MS dereplication is a promising pre-screening tool for more efficient screening of microbial culture collection containing pigments with potential novel properties.     

A Comprehensive Analysis of MALDI-TOF MS and Ribosomal DNA Sequencing for Identification of Clinical Yeasts

Purpose of Review

The purpose of this study is to analyze the current knowledge about matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) identification of clinical yeasts comparing with the ribosomal DNA sequencing identification. We also review the lasts taxonomical and nomenclature changes of clinical yeasts.

Recent Findings

In most studies, the two main commercially available, MALDI Biotyper and VITEK MS, correctly identified more than 90% of yeasts isolates. Most drawbacks are due to low discrimination between closely related species or due to a lack of the reference main spectra (MSP) in the database. The addition of MSPs in the databases improves the performance.

Summary

MALDI-TOF MS has proven to be good for the identification of clinical yeasts and to differentiate some closely related species or species undifferentiated by conventional techniques. However, some species remain difficult to differentiate by this technique and should be identified by ribosomal DNA sequencing. Accurate and rapid yeasts identification could improve the management of patients with yeasts infections.

     

Robustness of two MALDI-TOF mass spectrometry systems for bacterial identification

MALDI-TOF-MS systems (Microflex-Bruker Daltonics/BioTyper? and Axima-Assurance-Shimadzu/SARAMIS-AnagnosTec) were assessed for bacterial identification. Focusing on bacteria difficult to identify routinely, 296 strains were identified by molecular biology techniques as gold standard. MALDI-TOF-MS identification provided correct results at genus and species level for 94.9%, 83.4% and 83.8%, 65.9% with Biotyper and Saramis respectively.     

MALDI-TOF MS技术在侵袭性丝状真菌快速鉴定中的应用

探索不同培养基、不同培养时间和不同蛋白质提取方法对侵袭性丝状真菌质谱鉴定准确率的影响, 旨在提高基质辅助激光解析电离飞行时间质谱技术鉴定侵袭性丝状真菌的准确率。

采用分子生物学方法为金标准, 同时运用基质辅助激光解析电离飞行时间质谱技术对所收集临床丝状真菌进行鉴定。根据分子生物学的鉴定结果, 去除VITEK-MS v3.0数据库中没有的菌株, 其余菌株接种在沙氏葡萄糖琼脂(SDA)、马铃薯葡萄糖琼脂(PDA)和察氏培养基(CA)3种不同的培养基中, 采用2种不同的蛋白质提取方法(甲酸乙腈法和磁珠法), 获得了不同培养时间点(2、3、5、7和9 d)的特异性质谱指纹图谱。

不同丝状真菌蛋白质提取方法进行比较, 甲酸乙腈法总鉴定准确率为79.8%, 磁珠法总鉴定准确率为77.5%, 2种丝状真菌蛋白质提取方法的质谱鉴定准确率差异无统计学意义(χ²=1.040, P=0.308)。不同培养基进行比较, SDA培养基总鉴定准确率为90.7%, PDA培养基总鉴定准确率为81.4%, CA培养基总鉴定准确率为67.4%, 3种不同培养基的丝状真菌质谱鉴定准确率差异有统计学意义(χ²=36.609, P < 0.001), 其中使用SDA培养基鉴定准确率最高, 使用CA培养基鉴定准确率最低(SDA vs PDA, χ²=7.748, P=0.005;SDA vs CA, χ²=35.131, P < 0.001;PDA vs CA, χ²=10.994, P=0.001)。不同培养时间进行比较, 丝状真菌培养2、3、5、7和9 d后的质谱总鉴定准确率分别为64.3%、88.4%、89.1%、79.1%和78.3%, 不同培养时间的质谱鉴定准确率差异有统计学意义(χ²=32.274, P < 0.001)。培养3 d和培养5 d的质谱鉴定准确率优于培养7 d和培养9 d的质谱鉴定准确率, 培养2 d的质谱鉴定准确率明显低于其他时间(3 d vs 5 d, χ²=0.039, P=0.844;7 d vs 9 d, χ²=0.023, P=0.879;3 d vs 7 d, χ²=4.095, P=0.043;2 d vs 9 d, χ²=6.139, P=0.013)。

侵袭性丝状真菌使用SDA培养基培养3 d, 运用甲酸乙腈法提取蛋白质进行质谱鉴定最理想。

     

Species Identification of Dermatophytes by MALDI-TOF MS

MALDI-TOF (matrix-assisted laser desorption/ionization time-of-flight) mass spectrometry (MS) is a new tool for the identification of microorganisms, inclusive of dermatophytes. The technique is faster, more straightforward, and powerful when compared to conventional dermatophyte identification methods (culture and microscopy). Accurate species identification in dermatophytes is not only essential to survey epidemiologic situations, but also for an appropriate medical treatment and to locate the source of infection (zoophilic or anthropophilic). Multiple platforms from a number of well-established commercial manufacturers (Andromas SAS, Bruker Daltonics, bioMérieux) have been used for dermatophyte identification with different success. Independent from the platform used, all of the studies reviewed here report on problems with the identification of phylogenetically closely related anthropophilic and zoophilic dermatophyte species. Thus, supplementation of the databases/libraries as well as standardized extraction protocols and cultivation methods are the precondition required for optimal species identification.     

Analysis of recombinant protein expression by MALDI-TOF mass spectrometry of bacterial colonies

E. coli expressing soluble recombinant HIV antigens were analyzed directly by MALDI-TOF mass spectrometry (MS) from bacterial colonies picked from agar plates. An HIV envelope (ENV) antigen construct, penvA, was expressed in E. coli by transformation of the plasmid pPL/penvA-M. The plasmid was co-transformed into E. coli DH5 alpha cells with an equal quantity of the plasmid pKRR826, the parent vector without the penvA insert, and plated at medium density on L-agar plus ampicillin plates. A total of 24 colonies from four agar plates (six colonies per plate) were picked and transferred into 50% acetonitrile--0.1% trifluoroacetic acid aliquots for analysis by MALDI-TOF MS. The MS analysis detected 10 of 24 colonies expressing the recombinant protein; one colony expressed a mutant penvA protein; eleven of 24 colonies showed ions only from E. coli; and two of 24 colonies showed no detectable proteins. When E. coli transformed only with plasmid pPL/penvA-M were examined, all (10 of 10) colonies showed the penv insert by the MALDI-TOF MS method. The method is fast (less than 1.5 h for 24 colonies) and allows identification of colonies expressing intact or mutant proteins directly from culture plates without sample purification.     

ITS序列分析与MALDI-TOF MS质谱技术在丝状真菌鉴定中的应用

丝状真菌常用的鉴定方法为形态方法和基因鉴定方法,前者限于检验人员的知识和技能,后者操作繁琐,费用略昂贵,不适合常规开展。因此,寻找丝状真菌快速鉴定方法势在必行。本文采用VITEK MALDI-TOF MS（基质辅助激光解析电离时间飞行质谱）IVD数据库（3.0版本）对临床分离的254株丝状真菌进行鉴定,并以ITS（internal transcribed spacer 内转录间隔区）序列分析为标准,验证MALDI-TOF MS质谱技术鉴定丝状真菌的准确性。结果表明MALDI-TOF MS质谱技术可以对大部分丝状真菌实现快速、准确的鉴定,其中对毛癣菌属（100%）、毛孢子菌属（100%）、毛霉菌属（100%）、曲霉菌属（96.5%）准确率很高,对犬小孢子菌（75%）、镰刀菌属（50%）、新月弯孢霉（46.2%）准确率较低,对丝状真菌鉴定的总体准确率为86.36%,与ITS测序分析符合率为83.97%。     

Identification of phytochrome-interacting protein candidates in Arabidopsis thaliana by co-immunoprecipitation coupled with MALDI-TOF MS

Phytochrome-interacting proteins have been extensively studied to elucidate light-signaling pathway in plants. However, most of these proteins have been identified by yeast two-hybrid screening using the C-terminal domain of phytochromes. We used co-immunoprecipitation followed by proteomic analysis in plant cell extracts in an attempt to screen for proteins interacting either directly or indirectly with native holophytochromes including the N-terminal domain as well as C-terminal domain. A total of 16 protein candidates were identified, and were selected from 2-DE experiments. Using MALDI-TOF MS analysis, 7 of these candidates were predicted to be putative phytochrome A-interacting proteins and the remaining ones to be phytochrome B-interacting proteins. Among these putative interacting proteins, protein phosphatase type 2C (PP2C) and a 66-kDa protein were strong candidates as novel phytochrome-interacting proteins, as knockout mutants for the genes encoding these two proteins had impaired light-signaling functions. A transgenic knockout Arabidopsis study showed that a 66-kDa protein candidate regulates hypocotyl elongation in a light-specific manner, and altered cotyledon development under white light during early developmental stages. The PP2C knockout plants also displayed light-specific changes in hypocotyl elongation. These results suggest that co-immunoprecipitation, followed by proteomic analysis, is a useful method for identifying novel interacting proteins and determining real protein-protein interactions in the cell.