Undefined
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB55195 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Whole genome sequencing of bacterial isolates (Neisseria, Campylobacter, Haemophilus and Streptococcus)
| PRJEB51219 | ENA
Project description:Microarray comparative genome hybridization (mCGH) data was collected from one Neisseria cinerea, two Neisseria lactamica, two Neisseria gonorrhoeae, and 48 Neisseria meningitidis isolates. For N. meningitidis, these isolates are from diverse clonal complexes, invasive and carriage strains, and all major serogroups. The microarray platform represented N. meningitidis strains MC58, Z2491, and FAM18 and N. gonorrhoeae FA1090.
2007-04-04 | E-TIGR-129 | biostudies-arrayexpress
Project description:Whole genome DNA microarray of Neisseria meningitidis serogroup B strain MC58 and the isogenic mutant strain deficient of the transcriptional regulator FarR, MC58 ∆farR.
2011-02-11 | GSE20643 | GEO
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.
This model is hosted on
BioModels Database
and identified by:
MODEL1507180069.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2015-07-30 | MODEL1507180069 | BioModels
Project description:This paper presents a teleoperation system of robot grasping for undefined objects based on a real-time EEG (Electroencephalography) measurement and shared autonomy. When grasping an undefined object in an unstructured environment, real-time human decision is necessary since fully autonomous grasping may not handle uncertain situations. The proposed system allows involvement of a wide range of human decisions throughout the entire grasping procedure, including 3D movement of the gripper, selecting proper grasping posture, and adjusting the amount of grip force. These multiple decision-making procedures of the human operator have been implemented with six flickering blocks for steady-state visually evoked potentials (SSVEP) by dividing the grasping task into predefined substeps. Each substep consists of approaching the object, selecting posture and grip force, grasping, transporting to the desired position, and releasing. The graphical user interface (GUI) displays the current substep and simple symbols beside each flickering block for quick understanding. The tele-grasping of various objects by using real-time human decisions of selecting among four possible postures and three levels of grip force has been demonstrated. This system can be adapted to other sequential EEG-controlled teleoperation tasks that require complex human decisions.
| S-EPMC10770246 | biostudies-literature
Project description:Bacteria-host interactions are dynamic processes, and understanding transcriptional responses that directly or indirectly regulate the expression of genes involved in initial infection stages would illuminate the molecular events that result in host colonization. We used oligonucleotide microarrays to monitor (in vitro) differential gene expression in group A streptococci during pharyngeal cell adherence, the first overt infection stage. We present neighbor clustering, a new computational method for further analyzing bacterial microarray data that combines two informative characteristics of bacterial genes that share common function or regulation: (1) similar gene expression profiles (i.e., co-expression); and (2) physical proximity of genes on the chromosome. This method identifies statistically significant clusters of co-expressed gene neighbors that potentially share common function or regulation by coupling statistically analyzed gene expression profiles with the chromosomal position of genes. We applied this method to our own data and to those of others, and we show that it identified a greater number of differentially expressed genes, facilitating the reconstruction of more multimeric proteins and complete metabolic pathways than would have been possible without its application. We assessed the biological significance of two identified genes by assaying deletion mutants for adherence in vitro and show that neighbor clustering indeed provides biologically relevant data. Neighbor clustering provides a more comprehensive view of the molecular responses of streptococci during pharyngeal cell adherence.
| S-EPMC1913099 | biostudies-literature
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
Project description:BackgroundThe discovery of genetic mutations in children with inherited syndromes of intrahepatic cholestasis allows for diagnostic specificity despite similar clinical phenotypes. Here, we aimed to determine whether mutation screening of target genes could assign a molecular diagnosis in children with idiopathic cholestasis.Patients and methodsDNA samples were obtained from 51 subjects with cholestasis of undefined etiology and surveyed for mutations in the genes SERPINA1, JAG1, ATP8B1, ABCB11, and ABCB4 by a high-throughput gene chip. Then, the sequence readouts for all 5 genes were analyzed for mutations and correlated with clinical phenotypes. Healthy subjects served as controls.ResultsSequence analysis of the genes identified 14 (or 27%) subjects with missense, nonsense, deletion, and splice site variants associated with disease phenotypes based on the type of mutation and/or biallelic involvement in the JAG1, ATP8B1, ABCB11, or ABCB4 genes. These patients had no syndromic features and could not be differentiated by biochemical markers or histopathology. Among the remaining subjects, 10 (or ∼20%) had sequence variants in ATP8B1 or ABCB11 that involved only 1 allele, 8 had variants not likely to be associated with disease phenotypes, and 19 had no variants that changed amino acid composition.ConclusionsGene sequence analysis assigned a molecular diagnosis in 27% of subjects with idiopathic cholestasis based on the presence of variants likely to cause disease phenotypes.
| S-EPMC4090691 | biostudies-literature
Project description:Species of the Neisseria genus harbor close relationships with their mamallian hosts, including humans. The outcome of these interactions can result in commensalism, asymptomatic carriage, or acute inflammatory responses. Little is known of the mechanisms Neisseria use to maintain and shape their host niche in the context of asymptomatic infection or long term commensal colonization and persistence. To identify novel host interaction factors contributing to host persistence, a Tn5 transposon library was created in Neisseria musculi, and inoculated into a permissive strain of laboratory mice (CAST/EiJ). At various time points post inoculation, transposon mutants were recovered from fecal and oral samples, and analyzed to identifiy mutants incapable of maintaining a host niche at either site.
2022-04-12 | GSE188969 | GEO