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Neisseria

Neisseria is a genus of Gram-negative bacteria that includes several species of medical importance, such as the pathogens Neisseria gonorrhoeae and Neisseria meningitidis.
These bacteria are known for their ability to cause serious infections, including gonorrhea and meningococcal disease.
Neisseria species are typically found in the upper respiratory tract and can be transmitted through direct contact or respiratory droplets.
Researchers studying Neisseria may benefit from the PubCompare.ai platform, which uses advanced AI comparisons to help identify the most effective and reproducible protocols and products for their research, enhancing efficiency and productivity.
This AI-driven platform can assist in locating the best protocols from literature, preprints, and patentts, enabling researchers to achive greater research outcomes in their Neisseria studies.

Most cited protocols related to «Neisseria»

Analyses were performed by the same operator on two different NanoSight NS500 instruments (Malvern Instruments, Amesbury, UK) located at different laboratories. The instruments were equipped with a 488 nm laser, a high sensitivity sCMOS camera and a syringe pump. The EVs and artificial vesicles/beads were mixed by vortexing, and subsequently diluted in particle-free PBS (0.02 µm filtered) to obtain a concentration within the recommended measurement range (1–10 × 108 particles/mL), corresponding to dilutions from 1:100 to 1:100,000 depending on the initial sample concentration (Tables 1 and 2). Experiment videos were analysed using NTA 2.3 build 17 or NTA 3.1 build 54 software (Malvern) (specified in Tables 1 and 2) after capture in script control mode (3 videos of 60 s per measurement) using syringe pump speed 20. A total of 1500 frames were examined per sample. Samples were captured and analysed by applying either identical or instrument-optimised (see “Inter-assay variation, instrument-optimised settings”) settings (Tables 1 and 2, respectively). Further settings, such as blur, minimum track length and minimum expected size were set to “automatic” and viscosity to “water” (0.909–0.90 cP).

Instrument settings for “identical settings” setup.

 “Identical settings” setup
Instruments 1 and 2
 Sample/vesicle typeSample dilutionCamera levelDetection threshold
EVsExosomes from PC-3 cells200123
Exosomes from Jurkat cells1000134
OMV from Neisseria meningitidis10,000123–4
Microvesicles from monocytes400123–4
Artificial vesicles/beadsArtificial vesicles (Invivofectamine® 2.0)100,00013–143–4
Polystyrene latex beads 100 nm50084
Silica microspheres 150 nm100,000104

Samples were analysed using NTA 2.3 build 17 software (Malvern).

Instrument settings for “instrument-optimised settings” setup.

 “Optimised settings” setup Instrument 1
Instrument 2
 Sample/vesicle typeSample dilutionCamera levelDetection ThresholdCamera levelDetection Threshold
EVsExosomes from PC-3 cells10014–15314–163
Microvesicles from monocytes50013–14314–153
BeadsPolystyrene latex beads 100 nm1,00011–12312–133

Samples were analysed using NTA 3.1 build 54 software (Malvern).

Publication 2017
Biological Assay Hypersensitivity Latex Microspheres Neisseria Reading Frames Syringes Technique, Dilution Viscosity
After running each of the above measures on the two 16S data matrices, one per clinical center, we set measure-specific thresholds as a pre-filter such that each measure contributed 1,000 top-ranking and 1,000 bottom-ranking edges to the network. Edge scores were computed only between clade pairs without parent-descendant relationship (e.g. without pairs of the type Actinobacteridae|Actinomycetales or Actinomycetales|Propionibacterineae) for clades in the same body site. To assign statistical significance to the resulting differently-scaled scores, we first computed edge- and measure-specific permutation and bootstrap score distributions with 1,000 iterations each. In order to address the compositionality issues discussed above [27] , we re-normalized the data in each permutation, providing a null distribution that captures the similarity introduced by compositionality alone (see Text S1). We then computed the p-value as above by z-scoring the permuted null and bootstrap confidence interval using pooled variance. P-values were tail-adjusted so that low p-values correspond to co-presence and high p-values to exclusion. For BC and KLD, we did not compute re-normalized permutations, because these measures are intrinsically robust to compositionality [28] . Instead, we calculated their p-values using the bootstrap interval compared to a point null value that was computed by permutation.
Finally, to remove unstable edges, we removed all edges whose score was not within the 95% confidence interval (limited by the 2.5 and 97.5 percentiles) of the bootstrap distribution. Additionally, a number of BC-supported negative links were removed because they were due to abundance profiles including one extreme outlier. This affected the following clades for St. Louis: Actinomycetales in stool, Corynebacterium and Corynebacteriaceae in the tonsils, Lactobacillus and Lactobacillaceae in the anterior nares and for Houston: an unclassified Neisseria in the left retroauricular crease.
Publication 2012
Actinomycetales Corynebacteriaceae Corynebacterium Feces Human Body Lactobacillaceae Lactobacillus Neisseria Palatine Tonsil Parent Strains Tail
The sequence definition database was seeded using the core loci identified in finished Neisseria meningitidis genome annotations. The locus tag identifiers, ‘NEIS’ followed by an integer, was adopted in order to allow automated accessioning of loci as they are identified and added to the database. The NEIS, (short for ‘Neisseria genus’) loci list was determined using the genome annotations of FAM18, H44/76, G2136, Z2491 and MC58 and represent, notionally, the pan-genome of the meningococcus. This included the ribosomal protein loci, a sub set of the core loci which are also orthologous across all bacterial species [40 (link)]. The NEIS identifiers are linked to an alias table that contains additional locus nomenclature associated with each locus which is searchable and therefore cross compatible with various annotations; such as specific finished genome locus tags, KEGG EC or common name. The number of loci contained in the list of the NEIS locus identifiers is not static and will change as loci are curated and added to the database over time.
The draft genome sequences were queried within BIGSdb using BLAST against the sequence definition database to identify defined allelic variation. Alleles were automatically annotated and assigned with the appropriate allele number for those loci for which definitions exist, in a process referred to as ‘tagging’ while new alleles were manually curated and assigned a new allele accession number. For the gene sequences with frame shift mutations, internal stop codons, etc., the sequence was assigned an allele designation and flagged as having an internal stop codon. Any gene sequences with missing data, i.e. those at the ends of contigs, were flagged as incomplete and not assigned an allele number. Once identified the locus allelic variant was linked to the isolate metadata.
Publication 2014
Alleles Bacteria Codon, Terminator Frameshift Mutation Genes Genome Neisseria Neisseria meningitidis Ribosomal Proteins
All the genomic analyses were performed within MicroScope using embedded software. Whole-genome comparisons of gene content (using the mentioned cutoffs) were done using the PhyloProfile Synteny functionality [19 (link)], which combines BLASTP, BBH and/or synteny results. Graphical representation of whole-genome syntenies were generated using LinePlot functionality [19 (link)]. Graphical circular representation of the strain 8013 genome with transposon insertions was generated using the CGView software [56 (link)]. Characterization of the sulfate reduction pathway in Neisseria strains colonizing the nasopharynx was done using metabolic pathway predictions built with the Pathway Tools software [57 (link)]. GIs of putative horizontally transferred genes were identified in each N. meningitidis clinical isolate using the Genomic Island functionality tool [19 (link)]. This tool combines detection of synteny break points in the query genome in comparison with closely related genomes, searches for mobility genes, tRNA and direct repeats (if any) at the borders of the synteny break points and finally searches for compositional bias in the query genome.
Publication 2009
Direct Repeat Genes Genome Genomic Islands Insertion Mutation Jumping Genes Microscopy Nasopharynx Neisseria Neisseria meningitidis Range of Motion, Articular Strains Sulfates, Inorganic Synteny Transfer RNA
Assembled contigs and annotation information can be accessed at PubMLST Neisseria database [http://pubmlst.org/neisseria/] using the query search, project ‘107 global collection’. Sequence reads have also been deposited in the European Nucleotide Archive (ENA) EMBL: ERS006904 to ERS007010 inclusive.
Publication 2014
Europeans Inclusion Bodies Neisseria Nucleotides

Most recents protocols related to «Neisseria»

Example 6

TbpB and NMB0313 genes were amplified from the genome of Neisseria meningitidis serotype B strain B16B6. The LbpB gene was amplified from Neisseria meningitidis serotype B strain MC58. Full length TbpB was inserted into Multiple Cloning Site 2 of pETDuet using restriction free cloning ((F van den Ent, J. Löwe, Journal of Biochemical and Biophysical Methods (Jan. 1, 2006)).). NMB0313 was inserted into pET26, where the native signal peptide was replaced by that of pelB. Mutations and truncations were performed on these vectors using site directed mutagenesis and restriction free cloning, respectively. Pairs of vectors were transformed into E. coli C43 and were grown overnight in LB agar plates supplemented with kanamycin (50 μg/mL) and ampicillin (100 μg/mL).

tbpB genes were amplified from the genomes of M. catarrhalis strain 035E and H. influenzae strain 86-028NP and cloned into the pET52b plasmid by restriction free cloning as above. The corresponding SLAMs (M. catarrhalis SLAM 1, H. influenzae SLAM1) were inserted into pET26b also using restriction free cloning. A 6His-tag was inserted between the pelB and the mature SLAM sequences as above. Vectors were transformed into E. coli C43 as above.

Cells were harvested by centrifugation at 4000 g and were twice washed with 1 mL PBS to remove any remaining growth media. Cells were then incubated with either 0.05-0.1 mg/mL biotinylated human transferrin (Sigma-aldrich T3915-5 MG), α-TbpB (1:200 dilution from rabbit serum for M. catarrhalis and H. influenzae; 1:10000 dilution from rabbit serum for N. meningitidis), or α-LbpB (1:10000 dilution from rabbit serum-obtained a gift from J. Lemieux) or α-fHbp (1:5000 dilution from mouse, a gift from D. Granoff) for 1.5 hours at 4° C., followed by two washes with 1 mL of PBS. The cells were then incubated with R-Phycoerythrin-conjugated Streptavidin (0.5 mg/ml Cedarlane) or R-phycoerythrin conjugated Anti-rabbit IgG (Stock 0.5 mg/ml Rockland) at 25 ug/mL for 1.5 hours at 4° C. The cells were then washed with 1 mL PBS and resuspended in 200 uL fixing solution (PBS+2% formaldehyde) and left for 20 minutes. Finally, cells were washed with 2×1 mL PBS and transferred to 5 mL polystyrene FACS tubes. The PE fluorescence of each sample was measured for PE fluorescence using a Becton Dickinson FACSCalibur. The results were analyzed using FLOWJO software and were presented as mean fluorescence intensity (MFI) for each sample. For N. meningtidis experiments, all samples were compared to wildtype strains by normalizing wildtype fluorescent signals to 100%. Errors bars represent the standard error of the mean (SEM) across three experiments. Results were plotted statistically analysed using GraphPad Prism 5 software. The results shown in FIG. 6 for the SLPs, TbpB (FIG. 6A), LbpB. (FIG. 6B) and fHbp (FIG. 6C) demonstrate that SLAM effects translocation of all three SLP polypeptides in E. coli. The results shown in FIG. 10 demonstrate that translocation of TbpB from M. catarrhalis (FIG. 10C) and in H. influenzae (FIG. 10D) in E. coli require the co-expression of the required SLAM protein (Slam is an outer membrane protein that is required for the surface display of lipidated virulence factors in Neisseria. Hooda Y, Lai C C, Judd A, Buckwalter C M, Shin H E, Gray-Owen S D, Moraes T F. Nat Microbiol. 2016 Feb. 29; 1:16009).

Patent 2024
ADRB2 protein, human Agar Ampicillin anti-IgG Cells Centrifugation Cloning Vectors Culture Media Escherichia coli Fluorescence Formaldehyde Genes Genome Haemophilus influenzae Homo sapiens Kanamycin Lipoproteins Membrane Proteins Moraxella catarrhalis Mus Mutagenesis, Site-Directed Mutation Neisseria Neisseria meningitidis Phycoerythrin Plasmids Polypeptides Polystyrenes prisma Rabbits Serum Signaling Lymphocytic Activation Molecule Family Member 1 Signal Peptides Strains Streptavidin Technique, Dilution Transferrin Translocation, Chromosomal Virulence Factors

Example 8

In selecting genomes for a given bacterial species where a SLAM homolog was identified, preference was given to reference genomes that contained fully sequenced genomes. SLAM homologs were identified using iterative Blast searches into closely related species to Neisseria to more distantly related species. For each of the SLAM homologs identified in these species, the corresponding genomic record (NCBI genome) was used to identify genes upstream and downstream along with their corresponding functional annotations (NCBI protein database, Ensembl bacteria). In a few cases, no genes were predicted upstream or downstream of the SLAM gene as they were too close to the beginning or end of the contig, respectively, and thus these sequences were ignored.

Neighbouring genes were analyzed for 1) an N-terminal lipobox motif (predicted using LipoP, SignalP), and 2) a solute binding protein, Tbp-like (InterPro signature: IPR or IPR011250), or pagP-beta barrel (InterPro signature: IPR011250) fold. If they contained these elements, we identified the adjacent genes as potential SLAM-dependent surface lipoproteins.

A putative SLAM (PM1515, SEQ ID NO: 1087) was identified in Pasteurella multocida using the Neisseria SLAM as a search. The putative SLAM (PM1515, SEQ ID NO: 1087) was adjacent to a newly predicted lipoprotein gene with unknown function (PM1514, SEQ ID NO: 1083) (FIG. 11A). The putative SLAM displayed 32% identity to N. meningitidis SLAM1 while the SLP showed no sequence similarity to known SLAM-dependent neisserial SLPs.

The putative SLAM (PM1515, SEQ ID NO: 1087) and its adjacent lipoprotein (PM1514, SEQ ID NO: 1083) were cloned into pET26b and pET52b, respectively, as previously described and transformed into E. coli C43 and grown overnight on LB agar supplemented with kanamycin (50 ug/ml) and ampicillin (100 ug/ml).

Cells were grown in auto-induction media for 18 hours at 37 C and then harvested, washed twice in PBS containing 1 mM MgCl2, and labeled with α-Flag (1:200, Sigma) for 1 hr at 4 C. The cells were then washed twice with PBS containing 1 mM MgCl2 and then labeled with R-PE conjugated α-mouse IgG (25 ug/mL, Thermo Fisher Scientific) for 1 hr at 4 C. following straining, cells were fixed in 2% formaldehyde for 20 minutes and further washed with PBS containing 1 mM MgCl2. Flow Cytometry was performed with a Becton Dickinson FACSCalibur and the results were analyzed using FLOWJO software. Mean fluorescence intensity (MFI) was calculated using at least three replicates was used to compare surface exposure the lipoprotein in strains either containing or lacking the putative SLAM (PM1515) and are shown in FIG. 11C and FIG. 11D. PM1514 could be detected on the surface of E. coli illustrating i) that SLAM can be used to identify SLPs and ii) that SLAM is required to translocate these SLPs to the surface of the cell—thus identifying a class of proteins call “SLAM-dependent surface lipoproteins”. Antibodies were raised against purified PmSLP (PM1514) and the protein was shown to be on the surface of Pasteurella multocida via PK shaving assays.

Patent 2024
Agar Ampicillin Antibodies Bacteria Binding Proteins Biological Assay Cells Escherichia coli Flow Cytometry Fluorescence Formaldehyde Genes Genome Kanamycin Lipoprotein (a-) Lipoproteins Magnesium Chloride Mus Neisseria Neisseria meningitidis Pasteurella multocida Proteins Staphylococcal Protein A Strains

Example 7

Sepsis modeling was performed as described by Gorringe A. R., Reddin, K. M., Voet P. and Poolman J. T. (Methods Mol. Med. 66, 241 (Jan. 1, 2001)) and Johswich, K. O. et al. (Infect. Immun. 80, 2346 (Jul. 1, 2012)). Groups of 6 eight-week-old C57BL/6 mice (Charles River Laboratories) were inoculated via intraperitoneal injection with N. meningitidis strain B16B6, B16B6 Δtbpb, or B16B6 Δnmb0313 (N=2 independent experiments). To prepare inoculums, bacterial strains for infection were grown overnight on GC agar, resuspended and then grown for 4 h in 10 ml of Brain Heart Infusion (BHI) medium at 37° C. with shaking. Cultures were adjusted such that each final 500 μl inoculum contained 1×106 colony forming units and 10 mg human holo-transferrin. Mice were monitored at least every 12 h starting 48 h before infection to 48 h after infection for changes in weight, clinical symptoms and bacteremia. Mice were scored on a scale of 0-2 based on the severity of the following clinical symptoms: grooming, posture, appearance of eyes and nose, breathing, dehydration, diarrhea, unprovoked behavior, and provoked behavior. Animals reaching endpoint criteria were humanely euthanized. Animal experiments were conducted in accordance with the Animal Ethics Review Committee of the University of Toronto.

FIG. 7 shows the results obtained. FIG. 7A shows a solid phase binding assay consisting of N.men cells fixed with paraformaldehyde (PFA) or lysed with SDS and were spotted onto nitrocellulose and probed with α-TbpB antibodies. ΔSLAM/tn5 refers to the original strain of SLAM deficient cells obtained through transposon insertion. ΔSLAM describes the knockout of SLAM in Neisseria meningitidis obtained by replacing the SLAM ORF with a kanamycin resistance cassette. FIG. 7B shows a Proteinase K digestion assay showing the degradation of TbpB, LbpB and fHbp only when Nm cells are SLAM deficient (ΔSLAM). Nm cells expressing individual SLPs alone and with SLAM were incubated with proteinase K and Western blots were used to detect levels of all three SLPs levels with and without protease digestion (−/+). Flow cytometry was used to confirm that ΔSLAM cells could not display TbpB (FIG. 7C) or fHbp (FIG. 7D) on the cell surface. Antibodies against TbpB and fHbp were used to bind surface exposed SLPs followed by incubation with a α-Rabbit antibody linked to phycoerythrin to provide fluorescence. The mean fluorescent intensity (MFI) of each sample was measured using the FL2 detector of a BD FACS Calibur. The signal obtained from wildtype cells was set to 100% for comparison with signals from knockout cells. Error bars represent the standard error of the mean (SEM) from three experiments. Shown in FIG. 7E are the results of mice infections with various strains. Mice were infected via intraperitoneal injection with 1×106 CFU of wildtype N. meningitidis strain B16B6, B16B6 with a knockout of TbpB (ΔtbpB), or B16B6 with a knockout of nmb0313 Δslam and monitored for survival and disease symptoms every 12 h starting 48 hr pre-infection to 48 h post-infection and additionally monitored at 3 hr post-infection. Statistical differences in survival were assessed by a Mantel-Cox log rank test (GraphPad Prism 5) (*p<0.05, n.s. not significant). These results show a marked reduction in post-infection mortality in mice infected with the knockout of nmb0313 Δslam strain.

Patent 2024
Agar Animals Antibodies Bacteremia Bacterial Infections Biological Assay Brain Cells Cultured Cells Dehydration Diarrhea Digestion Endopeptidase K Eye Flow Cytometry Fluorescence Genes Heart Homo sapiens Immunoglobulins Infection Injections, Intraperitoneal Jumping Genes Kanamycin Resistance Mice, Inbred C57BL Mus Neisseria Neisseria meningitidis Nitrocellulose Nose paraform Peptide Hydrolases Phycoerythrin prisma Rabbits Rivers Sepsis Strains Transferrin Virulence Western Blot
All culture-positive isolates were further characterised using WGS on the Illumina platform to define genogroup, MLST lineages and genetic similarities, as previously described [25 (link)]. However, from each culture-positive sample only one colony was characterised.
A phylogenetic tree of carriage isolates was created with BIGSdb integrated in the Neisseria PubMLST database [26 (link)] using the genome comparator tool (based on 1605 N. meningitidis core loci) and visualised with the online tool iTOL [27 (link)].
N. meningitidis detected by PCR alone, and where culture isolate was lacking, were genogrouped using multiplex real-time PCR for the groups A, B, C, W, Y and X according to the instructions provided by the manufacturer (Rotor-Gene Q, Venlo, The Netherlands).
Publication 2023
Genes Genogroup Genome Neisseria Neisseria meningitidis Real-Time Polymerase Chain Reaction Reproduction
The gMATS method was used to predict strain coverage by the 4CMenB vaccine as described by Muzzi et al. (2019) (link). Genes of vaccine antigens were obtained either by PCR and sequencing (isolates recovered in 2017) or WGS (isolates recovered in 2018-2019). Alleles and corresponding peptide identifiers were assigned by the PubMLST Neisseria database. Estimation of antigen-specific predicted coverage by 4CMenB was performed based on criteria described by Muzzi et al. (2019) (link). NadA was not considered as contributing to coverage in gMATS (Muzzi et al., 2019 (link)).
The potential strain coverage by the MenB-Fhbp vaccine was assessed using the MenDeVAR Index method according to criteria outlined in Rodrigues et al. (2020) (link).
Publication 2023
4CMenB vaccine Alleles Antigens Genes Immunogenicity, Vaccine Neisseria Peptides Strains Vaccines

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More about "Neisseria"

Neisseria is a genus of Gram-negative bacteria that includes several medically significant species, such as the pathogens Neisseria gonorrhoeae and Neisseria meningitidis.
These bacteria are known for their ability to cause serious infections, including gonorrhea and meningococcal disease.
Neisseria species are typically found in the upper respiratory tract and can be transmitted through direct contact or respiratory droplets.
Researchers studying Neisseria may benefit from utilizing advanced analytical tools and techniques to enhance their research outcomes.
The PubCompare.ai platform, for example, employs AI-driven comparisons to help identify the most effective and reproducible protocols and products for Neisseria studies, improving efficiency and productivity.
When conducting Neisseria research, researchers may also find it useful to employ various laboratory techniques and equipment, such as the HiSeq 2500 and HiSeq platforms for high-throughput DNA sequencing, the MiSeq platform for targeted sequencing, the Vitox system for nutrient supplementation, the Etest for antibiotic susceptibility testing, and the QIAamp DNA Mini Kit for DNA extraction.
Additionally, the API NH and Gentra Puregene yeast/bacteria DNA extraction kit can be useful for identification and characterization of Neisseria species, while the MALDI Biotyper software can be employed for rapid and accurate bacterial identification.
By leveraging these advanced tools and techniques, researchers can optimize their Neisseria studies and achieve greater research outcomes, ultimately contributing to the understanding and management of Neisseria-related infections and diseases.