This book covers the broad microbiological applications of proteomics and mass spectrometry. It is divided into six sections that follow the general progression in which most microbiology laboratories are approaching the subject –Transition, Tools, Preparation, Profiling by Patterns, Target Proteins, and Data Analysis.
Table of Contents
1) CHANGING CONCEPTS IN THE CHARACTERISATION OF MICROBES AND THE INFLUENCE OF MASS SPECTROMETRY
Haroun Shah et al
1.1 Background and early attempts to use mass spectrometry on microbes.
1.2 Characterisation of microorganisms by MALDI-TOF mass spectrometry; from initial ideas to the development of the first comprehensive database.
1.3 Characterisation of microorganisms from their intracellular/membrane bound protein profiles using affinity capture with particular reference to SELDI-TOF-MS.
1.4 Comparative analysis of proteomes of diverse strains within a species; use of 2-d fluorescence difference gel electrophoresis (dige).
1.5 Searching for low abundant and low molecular weight proteins and peptides using nanoparticles as a selective and concentration probes for MALDI-TOF-MS analysis.
2) MICROBIAL PHYLOGENY AND EVOLUTION BASED ON PROTEIN SEQUENCES (THE CHANGE FROM TARGETED GENES TO PROTEINS)
Radhey Gupta
2.1 Abstract
2.2 Microbial phylogeny: overview and key unresolved issues
2.3 New protein-based molecular markers for systematic and evolutionary studies
2.4 Molecular markers elucidating the evolutionary relationships among alpha (a)-proteobacteria
2.5 Molecular markers for the bacteroidetes-chlorobi phyla
2.6 Branching order and interrelationships among bacterial phyla
2.7 Importance of protein markers for discovering unique properties for different groups of bacteria
2.8 Concluding remarks
2.9 Acknowledgements
2.10 References
3) OVERVIEW OF THE PROTEOMIC TOOLS AND IT LINKS TO GENOMICS
Raju Misra.
3.1 Protein identification
3.2 Peptide Mass Fingerprint (PMF)
3.3 Peptide Fragment Fingerprint (PFF)
3.4 Peptide sequencing
3.5 False discovery rates (FDR)
3.6 Validating protein identifications
3.7 Reference Database
3.8 Data storage
3.9 Biomarker discovery
3.10 Integrating genomics with proteomics
3.11 Reference List
4) HIGH THROUGHPUT BIOMARKER DISCOVERY IN MICROORGANISMS
Ming Fang
4.1 MALDI vs ESI
4.2 Tandem Mass Spectrometry and Hybrid Mass Spectrometers
4.3 Fragmentation in Tandem Mass Spectrometry
Proteomic Strategies for Protein Identification
1. Bottom-up Proteomics
2. Top-down Proteomics
Multidimensional Protein Identification
Mass Spectrometry Based Targeted Protein Quantification and Biomarker Discovery
Selected Reaction Monitoring
Conclusions
5) MALDI MASS SPECTROMETRY IMAGING, A NEW FRONTIER IN BIOSTRUCTURAL TECHNIQUES: APPLICATIONS IN BIOMEDICINE Simona Francese and Malcolm R. Clench
5.1 Introduction
5.2 Practical Aspects of MALDI-MSI
5.2 Applications
5.3 Microbial molecular investigation by MALDI TOF MS
5.4 Conclusions
5.5 References
3: PROTEIN SAMPLES PREPARATION TECHNIQUES
CONVENTIONAL APPROACHES FOR SAMPLE PREPARATION FOR LIQUID
CHROMATOGRAPHY AND TWO-DIMENSIONAL GEL ELECTROPHORESIS
Vesela Encheva and Robert Parker
6.1 Introduction
6.2 Cell lysis methods
6.3 Sample preparation for 2D GE
6.4 Fractionation strategies
6.5 Sample preparation for Liquid Chromatography coupled to mass
6.6 Conclusion
6.7 Reference list
7) ISOLATION AND PREPARATION OF SPORE PROTEINS AND SUBSEQUENT CHARACTERISATION BY ELECTROPHORESIS AND MASS SPECTROMETRY Nicola Thorne, Saheer Gharbia and Haroun Shah
7.1 Introduction
7.2 Experimental
2.1 Sporulation media
7.3 Conclusion
8) CHARACTERIZATION OF BACTERIAL MEMBRANE PROTEINS USING A NOVEL COMBINATION OF A LIPID BASED PROTEIN IMMOBILIZATION TECHNIQUE WITH MASS SPECTROMETRY
Roger Karlsson, Darren Chooneea, Elisabet Carlsohn, Vesela Encheva and Haroun Shah
8.1 Introduction
8.2 The surface proteome
8.3 Proteomics of pathogenic bacteria
8.4 Lipid-based protein immobilization technology
8.5 Salmonella Typhimurium - disease mechanism and outer membrane proteins
8.6 Outer membrane proteins of S. Typhimurium
8.7 Helicobacter pylori - disease mechanism and outer membrane proteins
8.8 Surface proteins of intact Helicobacter pylori
9) Wider Protein Detection from Biological Extracts by the Reduction of Dynamic Concentration Range.
Luc Guerrier, Egisto Boschetti and Piergiorgi Roghetti
9.1 Introduction
9.2 Dealing with low-abundance protein discovery
9.3 Conclusions and future prospects
9.4 References
10) 3D-gel electrophoresis - a new development in protein analysis.
Robert Ventzki and Josef Stegemann
10.1. Introduction
10.2. Methods
10.3 Results and discussion
10.4 References
SECTION 4: CHARACTERISATION OF MICROORGANISMS BY PATTERN MATCHING OF MASS SPECTRAL PROFILES AND BIOMARKER APPROACHES REQUIRING MINIMAL SAMPLE PREPARATION.
11) Microbial Disease Biomarkers using ProteinChip Arrays
Shea Hamilton, Michael Levin, J. Simon Kroll, Paul R. Langford
11.1 Introduction
11.2 Biomarker studies involving patients infected with viruses
11.3 Biomarker studies involving patients infected with parasites
11.4 Biomarker studies involving patients infected with bacteria
11.5 Other diseases of possible infectious origin
11.6 Conclusions
11.7 References
12) MALDI-TOF MS and microbial identification: years of experimental
development to an established protocol.
Wibke Kallow, Marcel Erhard,
Haroun N. Shah, Emmanuel Raptakis, Martin Welker.
12.1 Identification of Microorganisms in Clinical Routine
12.2 Mass Spectrometry and Microbiology
12.3 Mass Spectral ‘Fingerprints’ of Whole Cells
12.4 Reproducibility of Mass Spectral Fingerprints
12.5 Species and Strain Discrimination by Mass Spectrometry
12.6 Pattern Matching Approaches for automated Identification
12.7 Mass Spectral Identification of Microorganism - Requirements for Routine Diagnostics
12.8 Automated Mass Spectral Analysis of Microorganisms in Clinical Routine Diagnostics
12.9 Acknowledgements and references
5: Targeted Molecules and Analysis of Specific Microorganisms.
13) Whole Cell MALDI Mass Spectrometry for the Rapid Characterisation of
Bacteria; A Survey of Applications to Major Phyletic Lines in Microbial
Kingdom.
Ben van Baar
13.1 Introduction
13.3.1 Factors concerning the sample
13.5 Sample application and ionisation
13.6 Spectrum libraries
13. and Haemophilus spp.1. Protein export machineries of B. subtilis
1.1 The extracellular proteome of B. subtilis
1.2 The cell wall proteome of B. subtilis
1.3. The membrane attached lipoproteome of B. subtilis
1.3 The proteome analysis of protein secretion mechanisms in B. subtilis
2 Definition of proteomic signatures to study cell physiology
2.1. Proteomic signatures of B. subtilis in response to stress and starvation
2.2. Proteomic signatures of B. subtilis in response to thiol-reactive electrophiles uncovered novel regulatory mechanisms
2.3. The MarR/DUF24-family YodB repressor is directly sensing thiol- reactive electrophiles via the conserved Cys6 residue
3 Proteomics as tool to visualize reversible and irreversible thiol- modifications
3.1. The thiol-redox proteome of B. subtilis in response to diamide and quinones
3.2. Depletion of thiol-containing proteins by quinones due to thiol-(S)- alkylation
4 Proteomics as tool to define regulon structures and targets for non- coding RNAs
5 Acknowledgment
15) Mass Spectrometry in the study of Tularemia Pathogenesis.
Jiri Stulik, Juraj Lenco, Jiri Dresler, Jana Klimentova, Lenka Hernychova, Lucie Balonova and Alena Fucikova.
15.1 Introduction to molecular pathogenesis of Francisella tularensis infection
15.2 Francisella tularensis LVS proteome alterations induced by different temperatures and stationary phase of growth
15.3Analysis of membrane protein complexes of Francisella tularensis
15.4 Analysis of Francisella tularensis glycoproteins and phosphoproteins
15.5Identification of Francisella tularensis transcription factors potentially involved in its virulence
15.6 Acknowledgements
References
16) Bacterial Post-Genomics for Vaccine development
Giulia Bernardini, Daniela Braconi and Annalisa Santucci
Summary
comparative genomics
transcriptomics
proteomics and immmunoproteomics
other high-throughput technologies
meningococcal vaccines and reverse vaccinology
helicobacter pylori vaccines
conclusions
references
6 Statistical Analysis of 2D Gels and Analysis of Mass Spectral Data
- Machine Learning Techniques for the Analysis of Mass spectrometry Data.
Graham Ball and Ali Al-Shahib
17.1 Introduction
17.2 Pre-processing MS data
17.3 Classification of MS data
17.4 Evaluation of Classification Models
18) Mass Spectrometry for microbial Proteomics: Issues in data analysis with
electrophoretic or mass spectrometric expression proteomic data.
Natasha A. Karp
Title page
Foreword
18.1 Introduction
18.2 Experimental design
18.3 Data analysis
18.4 Validation
18.5 Conclusions
18.6 Figure legends
18.7 References
Section 7: DNA Resequencing by MALDI-TOF-Mass Spectrometry and its
Application to Traditional Microbiological Problems.
(19) Comparative DNA sequence analysis and typing using Mass
Spectrometry
Christiane Honisch,Yong Chen and Franz Hillenkamp
19.1 Introduction
19.2 Comparative Sequence Analysis by MALDI-TOF MS
19.3 Applications of nucleic acid analysis by MALDI-TOF MS in clinical microbiology
19.4 Conclusion
References
(20) Transfer of a Traditional Serotyping System (Kauffmann-White)
onto a MALDI-TOF-MS platform for the rapid Typing of Salmonella
isolates.
Chloe Bishop, Cath Arnold and Saheer Gharbia
Typing of salmonella isolates
1.1 Introduction
1.2 Salmonella, the pathogen
Biology
Pathogenesis
Clinical Disease
1.3 Complex genetic structure and the need to subtype this genus
Phylogeny
Virulence and Gene Transfer
Necessity to subtype
>1.4 Antigenic Analysis - The Traditional Kauffmann - White Schema and its future
Serotyping
Flagellar Antigens
Flagellar Variation
Somatic Antigens
1.5 Sequence-based methods to determine serotypes
Flagellin sequences correspond directly to Salmonella serotype.
Specific SNPs
Subtyping by antigen sequence
Variation of the Rfb Genes
1.6 Transferring the Sequences to a MALDI platform for Rapid Analysis
Intro
Different methods available
MALDI-TOF data analysis
Salmonella molecular serotyping as a Case Study
Gene Selection
Results Overview
Clustering and Sequence Variation of Amplicons
1.7 Conclusions and Summary
Closing Remarks
