2007
DOI: 10.1002/pmic.200700094
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The analysis of Neisseria meningitidis proteomes: Reference maps and their applications

Abstract: Neisseria meningitidis is an encapsulated Gram-negative bacterium responsible for significant morbidity and mortality worldwide. The availability of meningococcal genome sequences in combination with the rapid growth of proteomic techniques and other high-throughput methods, provided new approaches to the analysis of bacterial system biology. This review considers the meningococcal reference maps so far published as a starting point aimed to elucidate bacterial physiology and pathogenicity, paying particular a… Show more

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Cited by 16 publications
(9 citation statements)
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“…Since dedicated metabolic measurements such as isotopolog profiling under infection condition have not been carried out in meningococci so far, most information on the relation between metabolism and virulence is thus indirect and stems mostly from “omic” technologies such as (comparative) genomics (Dunning Hotopp et al, 2006; Rusniok et al, 2009; Hao et al, 2011; Joseph et al, 2011), transcriptomics (Grifantini et al, 2002a,b; Dietrich et al, 2003; Joseph et al, 2010; Echenique-Rivera et al, 2011; Hedman et al, 2012; Hey et al, 2013), proteomics (Bernardini et al, 2007; Van Alen et al, 2010) and genome-wide signature-tagged mutagenesis (STM) (Sun et al, 2000; Mendum et al, 2011) in conjunction with metabolic modeling (Baart et al, 2007). Therefore, after providing a very short overview of the metabolic capabilities of N. meningitidis derived in large part from genome-based approaches, we will discuss data also derived mostly from different “omic” approaches addressing the role of meningococcal core metabolism in the context of meningococcal colonization and invasion of host tissues.…”
Section: Introductionmentioning
confidence: 99%
“…Since dedicated metabolic measurements such as isotopolog profiling under infection condition have not been carried out in meningococci so far, most information on the relation between metabolism and virulence is thus indirect and stems mostly from “omic” technologies such as (comparative) genomics (Dunning Hotopp et al, 2006; Rusniok et al, 2009; Hao et al, 2011; Joseph et al, 2011), transcriptomics (Grifantini et al, 2002a,b; Dietrich et al, 2003; Joseph et al, 2010; Echenique-Rivera et al, 2011; Hedman et al, 2012; Hey et al, 2013), proteomics (Bernardini et al, 2007; Van Alen et al, 2010) and genome-wide signature-tagged mutagenesis (STM) (Sun et al, 2000; Mendum et al, 2011) in conjunction with metabolic modeling (Baart et al, 2007). Therefore, after providing a very short overview of the metabolic capabilities of N. meningitidis derived in large part from genome-based approaches, we will discuss data also derived mostly from different “omic” approaches addressing the role of meningococcal core metabolism in the context of meningococcal colonization and invasion of host tissues.…”
Section: Introductionmentioning
confidence: 99%
“…In the present study, soluble proteins of two rifampicin resistant and one susceptible meningococci isolated in Italy, and previously described [5], were analysed by two-dimensional electrophoresis (2-DE) combined with mass spectrometry (MALDI-ToF). The method has been chosen because it is a comprehensive approach to investigate the protein content of a pathogen [12], and in this context helpful to identify differential expression in specific proteins in particular in rifampicin resistance meningococci.…”
Section: Introductionmentioning
confidence: 99%
“…The increasing knowledge regarding highly immunoreactive antigens offers useful information for further investigation of potential associations between specific immune responses and diseases (91)(92)(93)(94). In addition, the comparison of multiple immunoproteomes may allow the discovery of immunogenic structural features shared and conserved between different pathogens, which could form the basis of broadly protective multispecies vaccines.…”
Section: Immunomics: Identification Of Immunogenic Proteinsmentioning
confidence: 99%