2002
DOI: 10.1016/s1570-0232(02)00560-3
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Proteomic study of non-typable Haemophilus influenzae

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Cited by 12 publications
(3 citation statements)
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“…Furthermore, most of the protective antigens described to date were identified in this analysis, plus one novel protective antigen (Rodriguez-Ortega et al 2006). Other examples where proteomics has also been used to study bacterial pathogenesis and identify vaccine candidates include Streptococcus agalactiae (Hughes et al 2002;Hughes et al 2003) and H. influenzae (Langen et al 2000;Thoren et al 2002).…”
Section: Proteomicsmentioning
confidence: 90%
“…Furthermore, most of the protective antigens described to date were identified in this analysis, plus one novel protective antigen (Rodriguez-Ortega et al 2006). Other examples where proteomics has also been used to study bacterial pathogenesis and identify vaccine candidates include Streptococcus agalactiae (Hughes et al 2002;Hughes et al 2003) and H. influenzae (Langen et al 2000;Thoren et al 2002).…”
Section: Proteomicsmentioning
confidence: 90%
“…OMP5, OMP1, OMP26, OMP6 and OMP2 were all among the most abundant proteins found in our lysate preparations. OMP6 is perhaps the most studied of these membrane proteins, yet previous proteomic analyses of NTHi lysates had failed to identify it as common using mass spectometry 28 . Undoubtedly, the sensitivity of mass spectometry, along with more robust bacterial protein databases, have increased our capability of comprehensively identifying proteins in biospecimens.…”
Section: Discussionmentioning
confidence: 99%
“…The proteome map of H. influenzae is well‐advanced because that organism is easily cultivated and has been used to study the proteome under different growth conditions, including treatment with antibiotics that inhibit DNA, RNA, and protein synthesis (Evers et al, 2001; Gmuender et al, 2001). Another proteome study of that organism aimed at the identification of potential vaccine candidates (Thoren et al, 2002). The 2D‐gel proteome map of H. influenzae published in 2000 (Langen et al, 2000) displays approximately 500 identified proteins, representing about 30% of all predicted open reading frames.…”
Section: The Role Of Proteomics To Decipher the Bacterial Responsmentioning
confidence: 99%