Neisseria meningitidis alpha275 strain:Serogroup W135
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA283384 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR2034100_1.fastq.gz | Fastqsanger.gz | |||
| SRR2034100_2.fastq.gz | Fastqsanger.gz | |||
| SRR2034110_1.fastq.gz | Fastqsanger.gz | |||
| SRR2034110_2.fastq.gz | Fastqsanger.gz | |||
| SRR2034120_1.fastq.gz | Fastqsanger.gz |
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Project description:Neisseria meningitidis is a major cause of bacterial meningitis and septicemia worldwide. Seven new serogroup C meningococci were isolated from two provinces of China in January, 2006. Their PorA VR types were P1.20, 9. Multilocus sequence typing results indicated that they all belonged to ST-7. It is a new serogroup C N. meningitidis sequence type clone identified in China. Here we also present the results of a genomic comparison of these isolates with other 15 N. meningitidis serogroup A and B isolates, which belonged to ST-7, based on comparative genomic hybridization analysis. The data described here would be helpful to monitor the spread of this new serogroup C meningococci sequence type clone in China and worldwide. Keywords: comparative genomic hybridization
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Project description:Neisseria meningitidis is the leading cause of bacterial meningitis and septicemia worldwide. The novel ST-4821 clonal complex caused several serogroup C meningococcal outbreaks unexpectedly during 2003–2005 in China. We fabricated a whole-genome microarray of Chinese N. meningitidis serogroup C representative isolate 053442 and characterized 27 ST-4821 complex isolates which were isolated from different serogroups using comparative genomic hybridization (CGH) analysis. This paper provides important clues which are helpful to understand the genome composition and genetic background of different serogroups isolates, and possess significant meaning to the study of the newly emerged hyperinvasive lineage. Keywords: comparative genomic hybridization
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Project description:Neisseria meningitidis is a major cause of bacterial meningitis and septicemia worldwide. Seven new serogroup C meningococci were isolated from two provinces of China in January, 2006. Their PorA VR types were P1.20, 9. Multilocus sequence typing results indicated that they all belonged to ST-7. It is a new serogroup C N. meningitidis sequence type clone identified in China. Here we also present the results of a genomic comparison of these isolates with other 15 N. meningitidis serogroup A and B isolates, which belonged to ST-7, based on comparative genomic hybridization analysis. The data described here would be helpful to monitor the spread of this new serogroup C meningococci sequence type clone in China and worldwide. Keywords: comparative genomic hybridization To compare the genome compositions of these menC ST-7 isolates with those of menC ST-4821 isolates, menA ST-7 isolates and menB ST-7 isolates, we performed comparative genomic hybridization (CGH) analysis among 17 N. meningitidis isolates (including two newly identified menC ST-7 isolates) using an updated version of the whole-genome microarray of N. meningitidis serogroup C isolate 053442 .
2007-10-10 | E-GEOD-7331 | biostudies-arrayexpress
Project description:The Gram-negative bacterium Neisseria meningitidis causes meningitis in humans and has been demonstrated to manipulate or alter host signalling pathways during infection of the central nervous system. In this study, the phosphoproteome of an in vitro model of the blood-cerebrospinal fluid barrier was investigated during infection with the Neisseria meningitidis serogroup B (NmB) strain MC58 in presence and absence of the bacterial capsule. We show that the capsule deficient mutant has a higher impact on the phosphoproteome of the infected cells and identify potentially regulated pathways and cellular processes during infection.
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Project description:The zur regulon in Neisseria meningitidis was elucidated in the strain MC58 using a zur knockout strain and conditions which activate Zur ( zinc supplementation in the medium)
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Project description:Baart2007 - Genome-scale metabolic network of
Neisseria meningitidis (iGB555)
This model is described in the article:
Modeling Neisseria
meningitidis metabolism: from genome to metabolic fluxes.
Baart GJ, Zomer B, de Haan A, van
der Pol LA, Beuvery EC, Tramper J, Martens DE.
Genome Biol. 2007; 8(7): R136
Abstract:
BACKGROUND: Neisseria meningitidis is a human pathogen that
can infect diverse sites within the human host. The major
diseases caused by N. meningitidis are responsible for death
and disability, especially in young infants. In general, most
of the recent work on N. meningitidis focuses on potential
antigens and their functions, immunogenicity, and pathogenicity
mechanisms. Very little work has been carried out on Neisseria
primary metabolism over the past 25 years. RESULTS: Using the
genomic database of N. meningitidis serogroup B together with
biochemical and physiological information in the literature we
constructed a genome-scale flux model for the primary
metabolism of N. meningitidis. The validity of a simplified
metabolic network derived from the genome-scale metabolic
network was checked using flux-balance analysis in chemostat
cultures. Several useful predictions were obtained from in
silico experiments, including substrate preference. A minimal
medium for growth of N. meningitidis was designed and tested
successfully in batch and chemostat cultures. CONCLUSION: The
verified metabolic model describes the primary metabolism of N.
meningitidis in a chemostat in steady state. The genome-scale
model is valuable because it offers a framework to study N.
meningitidis metabolism as a whole, or certain aspects of it,
and it can also be used for the purpose of vaccine process
development (for example, the design of growth media). The flux
distribution of the main metabolic pathways (that is, the
pentose phosphate pathway and the Entner-Douderoff pathway)
indicates that the major part of pyruvate (69%) is synthesized
through the ED-cleavage, a finding that is in good agreement
with literature.
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MODEL1507180069.
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2015-07-30 | MODEL1507180069 | BioModels
Project description:Using WGS to identify Neisseria meningitidis serogroup
| PRJNA430524 | ENA