Neisseria meningitidis
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1137890 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR29894931_1.fastq.gz | Fastqsanger.gz | |||
| SRR29894931_2.fastq.gz | Fastqsanger.gz | |||
| SRR29894932_1.fastq.gz | Fastqsanger.gz | |||
| SRR29894932_2.fastq.gz | Fastqsanger.gz | |||
| SRR29894933_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 36 |
Similar Datasets
Project description:GAS WGS (Georgia Department of Public Health)
| PRJNA1126729 | ENA
Project description:H. influenzae WGS (Georgia Department of Public Health)
| PRJNA1143046 | ENA
Project description:PFGRC has developed a cost effective alternative to complete genome sequencing in order to study the genetic differences between closely related species and/or strains. The comparative genomics approach combines Gene Discovery (GD) and Comparative Genomic Hybridization (CGH) techniques, resulting in the design and production of species microarrays that represent the diversity of a species beyond just the sequenced reference strain(s) used in the initial microarray design. These species arrays may then be used to interrogate hundreds of closely related strains in order to further unravel their evolutionary relationships. The Neissiria are among most deadly pathogens world-wide. The infections and outbreaks caused by this pathogens is quite frequent despite existing diagnostic network and therapeutic means. Therefore, developing reliable diagnostic tools and efficient (broad-spectrum) therapeutics for Neisseria meningitidis remain a public health priority for every country in world today. The comparative genomics study will provide the largest hitherto genomic data sets regarding this pathogen.These large data sets will enable us as well as other members of scientific community to conduct comprehensive data mining in the form of gene association studies with statistical power and significance.
2011-07-31 | GSE30813 | GEO
Project description:SARS CoV-2 WGS (Georgia Department of Public Health)
| PRJNA713775 | ENA
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)
2012-10-05 | GSE38033 | GEO
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
2007-10-11 | GSE7331 | GEO
Project description:Using WGS to identify Neisseria meningitidis serogroup
| PRJNA430524 | ENA
Project description:Neisseria meningitidis is an obligate commensal colonising the human nasopharynx and occasionally invades the bloodstream causing life-threatening meningitis and septicaemia. The gene NMB0419 on the genome of N. meningitidis MC58 encodes a putative Sel1-like repeat (SLR) containing protein, which has been implicated in mediating meningococcal invasion of epithelial cells. We prepared RNA samples from N. meningitidis MC58 (WT) and its isogenic mutant of NMB0419 grown to log phase in in-vitro culture. The RNA samples were subjected to RNA sequencing. The resulting transcriptomes were compared to determine the genes that differentially expressed in NMB0419 mutant.
2017-03-07 | GSE81572 | GEO
Project description:Neisseria meningitidis remains an important cause of septicemia and meningitis. One of its major virulence traits is its ability to avoid killing by human serum. In the present work, the effect of growth phase (exponential versus stationary) and growth medium (THB versus Catlin) on normal human serum (NHS) sensitivity was assessed on two N. meningitidis serogroup B strains (MC58 and M982). Both strains were found to be dramatically more resistant to 20% NHS killing at early exponential phase than at stationary phase (73-100% survival after 1 to 2 hours of growth compared to less than 10% survival after 7 hours of growth). This growth phase effect was detected only when a rich medium (THB) was used while no such effect was observed using Catlin medium. KDO (2-Keto-3-deoxyoctulosonic acid) and sialic acid content were measured on serum-resistant and serum-sensitive bacteria and were found comparable, indicating that differences in LPS and capsule expression were not at the origin of the observed phenotypes. Transcriptome profiling using a PCR-array was used to compare serum-resistant and serum-sensitive bacteria. A set of 255 genes was found to be differentially expressed with 159 genes up-regulated in serum-resistant bacteria, among them 12 genes involved in glucose catabolism and 22 are known virulence factors. Overall, this study shows that serum-resistant phenotype of N. meningitidis could be obtained through modulating growth conditions. The nature of growth media and growth phases have a major impact on the ability of N. meningitidis to resist to NHS killing. Consequently, the present work underlines the critical importance of carefully controlling those parameters in any studies aimed at investigating the mechanisms and factors involved in N. meningitidis serum-resistance.
2013-07-31 | GSE26078 | GEO
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
2007-11-28 | GSE7780 | GEO