The largest database of trusted experimental protocols

Parent

Parents are individuals who provide care and nurture for their children.
They play a crucial role in a child's physical, emotional, and social development.
Parents are responsible for meeting a child's basic needs, offering guidance and support, and fostering a safe and loving environment.
Effective parenting involves a balance of discipline, affection, and communication to help children grow into healthy, well-adjusted individuals.
The parent-child relationship is fundamental to a child's well-being and can have a lasting impact on their future development and succes.

Most cited protocols related to «Parent»

Unless otherwise stated, UCHIME results were obtained using the USEARCH v4.2.52. Perseus results were obtained using v1.24 of the AmpliconNoise package. MAFFT v6.853 (Katoh and Toh, 2008 (link)) was used by Perseus to create alignments. The reference database used for both ChimeraSlayer and UCHIME was the ‘gold’ set in http://sourceforge.net/projects/microbiomeutil/files/, version 2011-11-02. Unless otherwise stated, Perseus results were obtained using PerseusD v1.24, a variant of the original Perseus algorithm that follows UCHIME by only testing parents that have been classified as non-chimeric and are at least twice as abundant as the query. For a comparison of Perseus with PerseusD, see the Supplemental Material.
Publication 2011
Chimera Gold Parent
To create the annotations network ClueGO provides predefined functional analysis settings ranging from general to very specific ones. Furthermore, the user can adjust the analysis parameters to focus on terms, e.g. in certain GO level intervals, with particular evidence codes or with a certain number and percentage of associated genes. An optional redundancy reduction feature (Fusion) assesses GO terms in a parent–child relation sharing similar associated genes and preserves the more representative parent or child term. The relationship between the selected terms is defined based on their shared genes in a similar way as described by Huang et al. (2007 (link)). ClueGO creates first a binary gene-term matrix with the selected terms and their associated genes. Based on this matrix, a term–term similarity matrix is calculated using chance corrected kappa statistics to determine the association strength between the terms. Since the term–term matrix is of categorical origin, kappa statistic was found to be the most suitable method. Finally, the created network represents the terms as nodes which are linked based on a predefined kappa score level. The kappa score level threshold can initially be adjusted on a positive scale from 0 to 1 to restrict the network connectivity in a customized way. The size of the nodes reflects the enrichment significance of the terms. The network is automatically laid out using the Organic layout algorithm supported by Cytoscape. The functional groups are created by iterative merging of initially defined groups based on the predefined kappa score threshold. The final groups are fixed or randomly colored and overlaid with the network. Functional groups represented by their most significant (leading) term are visualized in the network providing an insightful view of their interrelations. Also other ways of selecting the group leading term, e.g. based on the number or percentage of genes per term are provided. As an alternative to the kappa score grouping the GO hierarchy using parent–child relationships can be used to create functional groups.
When comparing two gene clusters, another original feature of ClueGO allows to switch the visualization of the groups on the network to the cluster distribution over the terms. Besides the network, ClueGO provides overview charts showing the groups and their leading term as well as detailed term histograms for both, cluster specific and common terms.
Like BiNGO, ClueGO can be used in conjuntion with GOlorize for functional analysis of a Cytoscape gene network. The created networks, charts and analysis results can be saved as project in a specified folder and used for further analysis.
Publication 2009
Child Gene Clusters Gene Regulatory Networks Genes Genes, vif Parent
The full Bayesian sequence analysis with an uncorrelated relaxed-clock model allows the co-estimation of substitution parameters, relaxed-clock parameters, and the ancestral phylogeny. The posterior distribution is of the following form:

The vector Φ contains the parameters of the relaxed-clock model (e.g., μ and σ
2 in the case of lognormally distributed rates among branches). The term Pr
D|g,Φ,Ω is the standard Felsenstein likelihood, where
g is a tree with branch length measured in units of time. For the purposes of calculating this likelihood, branch lengths are converted to units of substitutions by multiplying the rates defined by Φ with the internode distance between node
i and parent node
j in tree
g. The tree prior,
f
G
(
g|Θ), can either be a coalescent-based prior [
30 (link),
65 (link)] for within-population data or some other appropriate prior if the sequences come from multiple populations/species [
55 (link)]. The vector Θ contains the hyperparameters of the tree prior. The vector Ω contains the parameters of the substitution model (such as transition/transversion ratio, κ; shape parameter for gamma-distributed rates among sites, α; and proportion of invariant sites,
p
inv
).
We summarize the posterior density in
Equation 5 using samples (
g,Θ,Φ,Ω) ∼
f obtained via MCMC. If, for example, the divergence times are of primary interest then the other sampled parameters can be thought of as nuisance parameters, and vice versa.
The formulation in
Equation 5 implies that the branch-rates could be integrated analytically in the Felsenstein likelihood. Although this could be accomplished relatively easily by discretizing the rate distribution and averaging the likelihood over the rate categories on each branch, we elected to do the integration using MCMC. This was achieved by assigning a unique rate category
c ∈ 1,2,…,2
n−2 to each branch
j of the tree. During the calculation of the likelihood the rate category
c is converted to a rate by the following method:

The function
D−1(
x) is the inverse function of the probability distribution function,
D(
x)=
P(
X
x), of the relaxed-clock model specified by Equations
2 and
3. This discretization of the underlying rate distribution is illustrated in
Figure 5 for a lognormal distribution with 12 rate categories (sufficient for a tree of seven tips). To integrate the branch rates out, the assignment of rate categories
c to branches was sampled via MCMC.
Full text: Click here
Publication 2006
Cloning Vectors Gamma Rays Parent Population Group Sequence Analysis Trees
The EuroQol Group task force recommended that English and Spanish versions be developed in parallel, where they could also serve as root languages for further translations and adaptations of the expanded version.
The study consisted of two phases. In the first phase, carried out from June to November 2007, a pool of potential labels for the new levels was identified and provisional labels for the 5-level version were chosen from that pool after a response scaling task carried out in face-to-face interviews with convenience samples of lay respondents. In the second phase, carried out from May to July 2008, face and content validity of two alternative 5-level systems were tested in focus group sessions with healthy participants and those with chronic illness. The second phase was also used to test the face validity of a series of health states based on the 5-level versions. Different groups of respondents were used in the two phases of the study.
Participants in both phases were recruited to ensure a wide range of socio-demographic characteristics. For the response scaling phase, the UK participants were recruited via local newspaper advertisements, local community advertisements, and from an existing participant database. The Spanish participants were recruited from among parents from local schools and from patient associations. Patient focus groups included primarily individuals with arthritis, diabetes, or asthma. In all groups, adequate written and oral fluency in English or Spanish was required.
Written informed consent to participate was obtained from all participants in both phases of the study.
Publication 2011
Acclimatization Arthritis Asthma Diabetes Mellitus Disease, Chronic Face Healthy Volunteers Hispanic or Latino Parent Patients Plant Roots
In a primarily methodological investigation of weak instrument bias, Davies et al.29 (link) considered the causal effect of height (standardized) on lung function (measured as forced vital capacity, FVC, measured in ml) using 180 genetic variants as IVs with data on 3631 participants from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort.30 (link) These variants were originally identified in a genome-wide association study.31 (link) The associations of the variants with height and with FVC are displayed in a scatter plot in Figure 3 (left). The slope of the line through the scatter plot is the IVW causal effect estimate using all the variants as IVs of 0.59 [95% confidence interval (CI): 0.50, 0.67]. This is similar to the TSLS estimate of 0.60 (95% CI: 0.52, 0.68) reported by Davies et al. The causal estimates represent the increase in FVC for a 1 standard deviation increase in height.
Figure 3 (right) shows a funnel plot of the MAF-corrected genetic associations with the exposure against the individual causal effect estimates for each variant. A visual inspection of the funnel plot suggests that there is little asymmetry present. Applying MR-Egger regression with MAF-corrected weights to the summarized data yields an intercept estimate -0.0009 with an associated P-value of 0.75. The bias-adjusted causal effect estimate from MR-Egger regression is 0.60 (95% CI: 0.46, 0.75), a slight increase in magnitude and uncertainty compared with the IVW and TSLS estimates. There was also no apparent heterogeneity in the IV estimates from each genetic variant individually, as evidenced by Cochran’s Q test (P = 0.99). In the Web Appendix (available as Supplementary data at IJE online) we show how the IVW and MR-Egger regression methods were implemented on these data with just a single line of computer code (using R and Stata). In summary, there is no evidence that directional pleiotropy is an important factor for these data.
Full text: Click here
Publication 2015
Child Debility Genes, vif Genetic Diversity Genetic Heterogeneity Genome-Wide Association Study Parent Respiratory Physiology

Most recents protocols related to «Parent»

Example 2

PAO1, the parent strain of PGN5, is a wild-type P. aeruginosa strain that produces relatively small amounts of alginate and exhibits a non-mucoid phenotype; thus, PGN5 is also non-mucoid when cultured (FIG. 3A). In PAO1, the alginate biosynthetic operon, which contains genes required for alginate production, is negatively regulated. Activation of this operon leads to alginate production and a mucoid phenotype. For example, over-expression of mucE, an activator of the alginate biosynthetic pathway, induces a strong mucoid phenotype in the PAO1 strain (e.g., P. aeruginosa strain VE2; FIG. 3B). The plasmid pUCP20-pGm-mucE, which constitutively over-expresses MucE, was used to test whether the genetically-modified PGN5 strain could produce alginate. Indeed, the presence of this plasmid in PGN5 (PGN5+mucE) induced a mucoid phenotype (FIG. 3B). To measure the amount of alginate produced by PGN5+mucE on a cellular level, a standard carbazole assay was performed, which showed that the PGN5+mucE and VE2 (i.e., PAO1+mucE) strains produce comparable amounts of alginate (FIG. 3C; 80-120 g/L wet weight).

To examine whether the alginate produced by PGN5+mucE was similar in composition to alginate produced by VE2, HPLC was performed to compare the M and G content of alginate produced by each strain. The chromatograms obtained from alginate prepared from VE2 and PGN5+mucE were identical (FIG. 3D), and the M:G ratios were comparable to a commercial alginate control (data not shown). To confirm that the physical properties of VE2 and PGN5+mucE alginates were also similar, alginate gels were prepared from alginate produced by each strain and the viscosity and yield stress was measured. The viscosities of VE2 and PGN5+mucE alginate gels were comparable at 73.58 and 72.12 mPa, respectively (FIG. 3E). Similarly, the yield stress of VE2 and PGN5+mucE alginate gels were comparable at 47.34 and 47.16 Pa, respectively (FIG. 3G).

Full text: Click here
Patent 2024
Alginate Alginates Anabolism Biological Assay Biosynthetic Pathways carbazole Cells Gels Genes High-Performance Liquid Chromatographies Operon Parent Phenotype Physical Processes Plasmids Pseudomonas aeruginosa Strains Viscosity

Example 8

Characterization of Absorption, Distribution, Metabolism, and Excretion of Oral [14C]Vorasidenib with Concomitant Intravenous Microdose Administration of [13C315N3]Vorasidenib in Humans

Metabolite profiling and identification of vorasidenib (AG-881) was performed in plasma, urine, and fecal samples collected from five healthy subjects after a single 50-mg (100 μCi) oral dose of [14C]AG-881 and concomitant intravenous microdose of [13C3 15N3]AG-881.

Plasma samples collected at selected time points from 0 through 336 hour postdose were pooled across subjects to generate 0—to 72 and 96-336-hour area under the concentration-time curve (AUC)-representative samples. Urine and feces samples were pooled by subject to generate individual urine and fecal pools. Plasma, urine, and feces samples were extracted, as appropriate, the extracts were profiled using high performance liquid chromatography (HPLC), and metabolites were identified by liquid chromatography-mass spectrometry (LC-MS and/or LC-MS/MS) analysis and by comparison of retention time with reference standards, when available.

Due to low radioactivity in samples, plasma metabolite profiling was performed by using accelerator mass spectrometry (AMS). In plasma, AG-881 was accounted for 66.24 and 29.47% of the total radioactivity in the pooled AUC0-72 h and AUC96-336 h plasma, respectively. The most abundant radioactive peak (P7; M458) represented 0.10 and 43.92% of total radioactivity for pooled AUC0-72 and AUC96-336 h plasma, respectively. All other radioactive peaks accounted for less than 6% of the total plasma radioactivity and were not identified.

The majority of the radioactivity recovered in feces was associated with unchanged AG-881 (55.5% of the dose), while no AG-881 was detected in urine. In comparison, metabolites in excreta accounted for approximately 18% of dose in feces and for approximately 4% of dose in urine. M515, M460-1, M499, M516/M460-2, and M472/M476 were the most abundant metabolites in feces, and each accounted for approximately 2 to 5% of the radioactive dose, while M266 was the most abundant metabolite identified in urine and accounted for a mean of 2.54% of the dose. The remaining radioactive components in urine and feces each accounted for <1% of the dose.

Overall, the data presented indicate [14C]AG-881 underwent moderate metabolism after a single oral dose of 50-mg (100 μCi) and was eliminated in humans via a combination of metabolism and excretion of unchanged parent. AG-881 metabolism involved the oxidation and conjugation with glutathione (GSH) by displacement of the chlorine at the chloropyridine moiety. Subsequent biotransformation of GSH intermediates resulted in elimination of both glutamic acid and glycine to form the cysteinyl conjugates (M515 and M499). The cysteinyl conjugates were further converted by a series of biotransformation reactions such as oxidation, S-dealkylation, S-methylation, S-oxidation, S-acetylation and N-dealkylation resulting in the formation multiple metabolites.

A summary of the metabolites observed is included in Table 2

TABLE 2
Retention
ComponentTimeMatrix
designation(Minutes)[M + H]+Type of BiotransformationPlasmaUrineFeces
Unidentified 17.00UnknownX
M2667.67a267N-dealkylationX
Unidentified 2UnknownX
Unidentified 3UnknownX
Unidentified 4UnknownX
Unidentified 5UnknownX
M51519.79b516OxidationX
M460-120.76b461OxidationX
M49921.22b500Dechloro-glutathioneXX
conjugation + hydrolysis
M51621.89b517Oxidative-deaminationX
M460-221.98b461OxidationX
M47222.76b473S-dealkylation + S-X
acetylation + reduction
M47622.76b477OxidationX
Unidentified 6UnknownX
M47423.63b475OxidationX
Unidentified 7UnknownX
M43025.88b431AG-881-oxidationX
M42630.62b427S-dealkylation + methylationX
M45831.03c459AG-69460X*
AG-88139.41b415AG-881XX
M42847.40b429S-dealkylation + oxidationX
Table 3 contains a summary of protonated molecular ions and characteristic product ions for AG-881 and identified metabolites

TABLE 3
RetentionCharacteristic
MetaboliteTimeProposed MetaboliteProduct Ions
designation(Minutes)[M + H]+Identification(m/z)Matrix
M266 7.88a267[Figure (not displayed)]
188, 187Urine
M51519.79b516[Figure (not displayed)]
429, 260, 164, 153Feces
M460-120.76b461[Figure (not displayed)]
379, 260, 164Feces
M49921.22b500[Figure (not displayed)]
437, 413, 260, 164, 137Urine Feces
M51621.89b517[Figure (not displayed)]
427, 260, 164, 153Feces
M460-221.98b461[Figure (not displayed)]
369, 260, 164, 139, 121, 93Feces
M47222.76b473[Figure (not displayed)]
429, 260, 179, 164, 153Feces
M47622.76b477[Figure (not displayed)]
395, 260, 164, 139, 119Feces
M47423.63b475[Figure (not displayed)]
260, 164, 68Feces
M43025.88b431[Figure (not displayed)]
260, 164, 155, 68Feces
M42630.62b427[Figure (not displayed)]
260, 164, 151Feces
M45831.03b459[Figure (not displayed)]
380, 311, 260, 183, 164, 130Plasma Fecesd
AG-88139.41b415[Figure (not displayed)]
319, 277, 260, 240, 164, 139, 119, 68Plasma Fecesd
M42847.40b429[Figure (not displayed)]
260, 164, 153Feces
Notes
aRetention time from analysis of a urine sample
bRetention time from analysis of a feces sample
cRetention time from analysis of a plasma sample
dM458 was only detected in feces by mass spectrometry, not by radioprofiling.
The proposed (theoretical) biotransformation pathways leading to the observed metabolites are shown in FIG. 1.

Full text: Click here
Patent 2024
Acetylation AG 30 Biotransformation Chlorine Dealkylation Deamination Elements, Radioactive Feces Glutamic Acid Glutathione Glycine Healthy Volunteers High-Performance Liquid Chromatographies Homo sapiens Hydrolysis Intravenous Infusion Ions Liquid Chromatography Mass Spectrometry Metabolism Methylation Parent Plasma Radioactivity Retention (Psychology) Tandem Mass Spectrometry Urinalysis Urine vorasidenib

Example 3

Investigation of Virus Infectivity as a Factor that Determines Plaque Size.

With the revelation that plaque formation is strongly influenced by the immunogenicity of the virus, the possibility that infectivity of the virus could be another factor that determines plaque sizes was investigated. The uptake of viruses into cells in vitro was determined by measuring the amounts of specific viral RNA sequences through real-time PCR.

To measure total viral RNA, total cellular RNA was extracted using the RNEasy Mini kit (Qiagen), and complementary DNA synthesized using the iScript cDNA Synthesis kit (Bio-Rad). To measure total viral RNA, quantitative real-time PCR was done using a primer pair targeting a highly conserved region of the 3′ UTR common to all four serotypes of dengue; inter-sample normalization was done using GAPDH as a control. Primer sequences are listed in Table 5. Pronase (Roche) was used at a concentration of 1 mg/mL and incubated with infected cells for five minutes on ice, before washing with ice cold PBS. Total cellular RNA was then extracted from the cell pellets in the manner described above.

TABLE 5
PCR primer sequences.
Gene TargetPrimer Sequence
DENV LYL 3′UTRForward: TTGAGTAAACYRTGCTGCCTGTA
TGCC (SEQ ID NO: 24)
Reverse: GAGACAGCAGGATCTCTGGTCTY
TC (SEQ ID NO: 25)
GAPDH (Human)Forward: GAGTCAACGGATTTGGTCGT
(SEQ ID NO: 26)
Reverse: TTGATTTTGGAGGGATCTCG
(SEQ ID NO: 27)
CXCL10 (Human)Forward: GGTGAGAAGAGATGTCTGAATCC
(SEQ ID NO: 28)
Reverse: GTCCATCCTTGGAAGCACTGCA
(SEQ ID NO: 29)
ISG20 (Human)Forward: ACACGTCCACTGACAGGCTGTT
(SEQ ID NO: 30)
Reverse: ATCTTCCACCGAGCTGTGTCCA
(SEQ ID NO: 31)
IFIT2 (Human)Forward: GAAGAGGAAGATTTCTGAAG
(SEQ ID NO: 32)
Reverse: CATTTTAGTTGCCGTAGG
(SEQ ID NO: 33)
IFNα (Canine)Forward: GCTCTTGTGACCACTACACCA
(SEQ ID NO: 34)
Reverse: AAGACCTTCTGGGTCATCACG
(SEQ ID NO: 35)
IFNβ (Canine)Forward: GGATGGAATGAGACCACTGTCG
(SEQ ID NO: 36)
Reverse: ACGTCCTCCAGGATTATCTCCA
(SEQ ID NO: 37)

The proportion of infected cells was assessed by flow cytometry. Cells were fixed and permeabilised with 3% paraformaldehyde and 0.1% saponin, respectively. DENV envelope (E) protein was stained with mouse monoclonal 4G2 antibody (ATCC) and AlexaFluor488 anti-mouse secondary antibody. Flow cytometry analysis was done on a BD FACS Canto II (BD Bioscience).

Unexpectedly, despite DENV-2 PDK53 inducing stronger antiviral immune responses, it had higher rates of uptake by HuH-7 cells compared to DENV-2 16681 (FIG. 5). This difference continued to be observed when DENV-2 PDK53 inoculum was reduced 10-fold. In contrast, DENV-3 PGMK30 and its parental strain DENV-3 16562 displayed the same rate of viral uptake in host cells. Furthermore, DENV-2 PDK53 showed a higher viral replication rate compared to DENV-2 16681. This was determined by measuring the percentage of cells that harbored DENV E-protein, detected using flow cytometry. DENV-2 PDK53 showed a higher percentage of infected cells compared to DENV-2 16681 at the same amount of MOI from Day 1 to 3 (FIG. 6). In contrast, DENV-3 PGMK30 showed a reverse trend and displayed lower percentage of infected cells compared to DENV-3 16562. Results here show that successfully attenuated vaccines, as exemplified by DENV-2 PDK53, have greater uptake and replication rate.

Results above demonstrate that the DENV-2 PDK53 and DENV-3 PGMK30 are polarized in their properties that influence plaque morphologies. While both attenuated strains were selected for their formation of smaller plaques compared to their parental strains, the factors leading to this outcome are different between the two.

Accordingly, this study has demonstrated that successfully attenuated vaccines, as exemplified by DENV-2 PDK53 in this study, form smaller plaques due to induction of strong innate immune responses, which is triggered by fast viral uptake and spread of infection. In contrast, DENV-3 PGMK30 form smaller plaques due to its slower uptake and growth in host cells, which inadvertently causes lower up-regulation of the innate immune response.

Based on the results presented in the foregoing Examples, the present invention provides a new strategy to prepare a LAV, which expedites the production process and ensures the generation of effectively attenuated viruses fit for vaccine use.

Full text: Click here
Patent 2024
Antibodies, Anti-Idiotypic Antigens, Viral Antiviral Agents Canis familiaris Cells Common Cold Cowpox virus Dengue Fever Dental Plaque DNA, Complementary DNA Replication Flow Cytometry GAPDH protein, human Genes Homo sapiens Immunity, Innate Infection Interferon-alpha Monoclonal Antibodies Mus Oligonucleotide Primers paraform Parent Pellets, Drug Pronase Proteins Real-Time Polymerase Chain Reaction Response, Immune RNA, Viral Saponin Senile Plaques Strains Vaccines Virus Virus Diseases Virus Replication

Example 4

An overview of the immunization strategies for lectin-binding proteins, such as galectin-3, is shown in Table 18.

BALB/c mice were immunized with 2 mg/kg mRNA, complexed with LNPs, or 20 μg recombinant protein as indicated in Table 18. Plasma anti-galectin-3 IgG titers were assayed 7 days after the final boost, which was delivered at day 55.

FIG. 3 shows that the use of galectin-3 mRNA as a final boosting agent resulted in a significantly higher target-specific IgG titer than when purified recombinant protein (a traditional immunogen) was used. This effect was observed regardless of whether the antigens were delivered subcutaneously or intravenously.

Hybridomas producing galectin-3-specific antibodies were generated, and high affinity monoclonal anti-galectin-3 antibodies were obtained from further screens.

TABLE 18
Priming ImmunizationBoostFinal Boost
(Day 0)(Day 7)(Day 55)
mRNA (I.V.)mRNA (I.V.)mRNA (I.V.)
mRNA (I.V.)mRNA (I.V.)Recombinant protein
(I.V.)
mRNA (S.C.)mRNA (S.C.)mRNA (S.C.)
mRNA (S.C.)mRNA (S.C.)Recombinant protein
(S.C.)
Summary of the Hit Rates Attainable by mRNA-Mediated Immunization

Table 19 provides a target protein-specific summary of the total number of hybridoma wells (generally about one third (⅓) of these wells contain hybridomas) screened and the number of confirmed target-specific antibodies obtained from those hybridomas wells following the use of lipid-encapsulated mRNA as an immunogen.

Table 20 provides a comparison of mRNA-LNP immunization methods with other conventional methods of immunization by number of hybridomas producing target-specific antibodies. In general, these data suggest that mRNA-LNP immunization is an effective method for inducing an immune response to a target protein antigen and for obtaining a higher number/rate of target protein-specific antibodies. In particular, these results confirm that mRNA-LNP immunization is surprisingly more effective than conventional immunization methods for obtaining antibodies specific for transmembrane proteins, e.g., multi-pass transmembrane proteins, such as GPCRs, which are difficult to raise antibodies against, and for poorly immunogenic proteins (e.g., proteins which produce low or no detectable target-specific IgGs in plasma of animals immunized with traditional antigen).

TABLE 19
Number of
Number ofhybridomas
hybridomaproducing
Proteinwellstarget-specific
targetType of proteinscreenedantibodies
RXFP1Multi-pass Transmembrane20240207
protein/GPCR
SLC52A2Multi-pass Transmembrane12880228
protein
ANGPTL8Soluble protein22816542
TSHRTransmembraneTBD130
protein/GPCR
APJTransmembrane22080230
protein/GPCR
GP130Single-pass Transmembrane23920614
protein

TABLE 20
Method of immunization and number of hybridomas producing
target-specific antibodies
Whole Virus-likeProtein/
ProteinType ofmRNA-cellsparticlesCDNApeptide
targetproteinLNP1onlyonlyonlyonly
RXFP1GPCR/20766NDNDND
multi-pass
SLC52A2multi-228NSTNSTNDNST
pass
TSHRGPCR/130NDND42413
multi-pass
APJGPCR/230 94621 ND
multi-pass
1Immunization with mRNA-LNP alone or in combination with another antigen format (e.g., protein/peptide).
2Sanders et al. 2002 Thyroid stimulating monoclonal antibodies Thyroid 12(12): 1043-1050.
3Oda et al. 2000. Epitope analysis of the human thyrotropin (TSH) receptor using monoclonal antibodies. Thyroid 10(12): 1051-1059.
ND—Not determined; antigen format not tested
NST—No specific titers detected. Because no target-specific IgG titers were detectable in plasma, hybridoma generation was not initiated on these groups.

In general, successful generation of hybridomas producing antigen-specific antibodies have been achieved for at least 15 different targets utilizing mRNA-LNP immunization methods as exemplified herein. These results show that the mRNA immunization methods described herein are capable of eliciting an immune response against a wide range of antigens (e.g., transmembrane proteins, for example multi-pass transmembrane proteins, such as GPCRs) in host animals, and are effective methods for producing high affinity monoclonal antibodies, which can serve as parentals for generation of chimeric variants, humanized variants, and affinity matured variants.

Full text: Click here
Patent 2024
Animals anti-IgG Antibodies Antigens Binding Proteins Cells Chimera DNA, Complementary Epitopes Galectin 3 Histocompatibility Antigens Class II Homo sapiens Hybridomas Integral Membrane Proteins Lectin Lipids Mice, Inbred BALB C Monoclonal Antibodies Parent Peptides Plasma Proteins Protein Targeting, Cellular Recombinant Proteins Response, Immune RNA, Messenger Soluble Glycoprotein 130 Thyroid Gland Thyrotropin Thyrotropin Receptor Vaccination Viral Proteins
Not available on PMC !

Example 6

The living cells embedded in the SLMs were then exploited to develop a self-regenerating material. When a fragment of EC-SLM was introduced into selective lysogeny broth media, the SLM started to disperse and the cells self-replicated to form the turbid culture. After 24 h of culture, the cells were pelletized and casted onto the mold as per the same fabrication protocol described above. Ambient drying of the pellet for 24 h resulted in the second generation (denoted by Gen II) of EC-SLM fabricated from its first generation (denoted by Gen I, FIG. 22A). Similarly, a tiny fragment (5-10 mg) of Gen II was utilized to fabricate the third generation (denoted by Gen III) of EC-SLM. Both Gen II and Gen III were found to have a CFU count of around 107 mg-1, which is almost same as that of Gen I (FIG. 22B). Moreover, nanoindentation studies showed that E (5-41 GPa) and H (0.2-2.5 GPa) of self-regenerated EC-SLM (Gen II and Gen III) were also similar to that of the parent EC-SLM (FIGS. 22C, 22D). Further, in order to understand the survivability of the cells in the EC-SLM, time-dependent CFU analysis was performed (FIG. 22E). At day 15, the CFU count of EC-SLM was reduced to ˜104 mg-1 and at day 30, it was about 21 mg-1. From this exponential decay data, the calculated cell death rate was found to be 0.43 per day.

Full text: Click here
Patent 2024
Cells Fungus, Filamentous Lysogeny Parent Regeneration

Top products related to «Parent»

Sourced in United States, China, United Kingdom, Germany, Australia, Japan, Canada, Italy, France, Switzerland, New Zealand, Brazil, Belgium, India, Spain, Israel, Austria, Poland, Ireland, Sweden, Macao, Netherlands, Denmark, Cameroon, Singapore, Portugal, Argentina, Holy See (Vatican City State), Morocco, Uruguay, Mexico, Thailand, Sao Tome and Principe, Hungary, Panama, Hong Kong, Norway, United Arab Emirates, Czechia, Russian Federation, Chile, Moldova, Republic of, Gabon, Palestine, State of, Saudi Arabia, Senegal
Fetal Bovine Serum (FBS) is a cell culture supplement derived from the blood of bovine fetuses. FBS provides a source of proteins, growth factors, and other components that support the growth and maintenance of various cell types in in vitro cell culture applications.
Sourced in United States, China, United Kingdom, Germany, France, Australia, Canada, Japan, Italy, Switzerland, Belgium, Austria, Spain, Israel, New Zealand, Ireland, Denmark, India, Poland, Sweden, Argentina, Netherlands, Brazil, Macao, Singapore, Sao Tome and Principe, Cameroon, Hong Kong, Portugal, Morocco, Hungary, Finland, Puerto Rico, Holy See (Vatican City State), Gabon, Bulgaria, Norway, Jamaica
DMEM (Dulbecco's Modified Eagle's Medium) is a cell culture medium formulated to support the growth and maintenance of a variety of cell types, including mammalian cells. It provides essential nutrients, amino acids, vitamins, and other components necessary for cell proliferation and survival in an in vitro environment.
Sourced in United States, Germany, United Kingdom, China, Canada, France, Japan, Australia, Switzerland, Israel, Italy, Belgium, Austria, Spain, Gabon, Ireland, New Zealand, Sweden, Netherlands, Denmark, Brazil, Macao, India, Singapore, Poland, Argentina, Cameroon, Uruguay, Morocco, Panama, Colombia, Holy See (Vatican City State), Hungary, Norway, Portugal, Mexico, Thailand, Palestine, State of, Finland, Moldova, Republic of, Jamaica, Czechia
Penicillin/streptomycin is a commonly used antibiotic solution for cell culture applications. It contains a combination of penicillin and streptomycin, which are broad-spectrum antibiotics that inhibit the growth of both Gram-positive and Gram-negative bacteria.
Sourced in United States, China, Germany, United Kingdom, Hong Kong, Canada, Switzerland, Australia, France, Japan, Italy, Sweden, Denmark, Cameroon, Spain, India, Netherlands, Belgium, Norway, Singapore, Brazil
The HiSeq 2000 is a high-throughput DNA sequencing system designed by Illumina. It utilizes sequencing-by-synthesis technology to generate large volumes of sequence data. The HiSeq 2000 is capable of producing up to 600 gigabases of sequence data per run.
Sourced in United States, Austria, Japan, Belgium, United Kingdom, Cameroon, China, Denmark, Canada, Israel, New Caledonia, Germany, Poland, India, France, Ireland, Australia
SAS 9.4 is an integrated software suite for advanced analytics, data management, and business intelligence. It provides a comprehensive platform for data analysis, modeling, and reporting. SAS 9.4 offers a wide range of capabilities, including data manipulation, statistical analysis, predictive modeling, and visual data exploration.
Sourced in United States, United Kingdom, Germany, China, France, Canada, Australia, Japan, Switzerland, Italy, Belgium, Israel, Austria, Spain, Netherlands, Poland, Brazil, Denmark, Argentina, Sweden, New Zealand, Ireland, India, Gabon, Macao, Portugal, Czechia, Singapore, Norway, Thailand, Uruguay, Moldova, Republic of, Finland, Panama
Streptomycin is a broad-spectrum antibiotic used in laboratory settings. It functions as a protein synthesis inhibitor, targeting the 30S subunit of bacterial ribosomes, which plays a crucial role in the translation of genetic information into proteins. Streptomycin is commonly used in microbiological research and applications that require selective inhibition of bacterial growth.
Sourced in United States, United Kingdom, Germany, China, France, Canada, Japan, Australia, Switzerland, Italy, Israel, Belgium, Austria, Spain, Brazil, Netherlands, Gabon, Denmark, Poland, Ireland, New Zealand, Sweden, Argentina, India, Macao, Uruguay, Portugal, Holy See (Vatican City State), Czechia, Singapore, Panama, Thailand, Moldova, Republic of, Finland, Morocco
Penicillin is a type of antibiotic used in laboratory settings. It is a broad-spectrum antimicrobial agent effective against a variety of bacteria. Penicillin functions by disrupting the bacterial cell wall, leading to cell death.
Sourced in United States, China, Germany, United Kingdom, Canada, Japan, France, Italy, Switzerland, Australia, Spain, Belgium, Denmark, Singapore, India, Netherlands, Sweden, New Zealand, Portugal, Poland, Israel, Lithuania, Hong Kong, Argentina, Ireland, Austria, Czechia, Cameroon, Taiwan, Province of China, Morocco
Lipofectamine 2000 is a cationic lipid-based transfection reagent designed for efficient and reliable delivery of nucleic acids, such as plasmid DNA and small interfering RNA (siRNA), into a wide range of eukaryotic cell types. It facilitates the formation of complexes between the nucleic acid and the lipid components, which can then be introduced into cells to enable gene expression or gene silencing studies.
Sourced in United States, China, Germany, United Kingdom, Canada, Switzerland, Sweden, Japan, Australia, France, India, Hong Kong, Spain, Cameroon, Austria, Denmark, Italy, Singapore, Brazil, Finland, Norway, Netherlands, Belgium, Israel
The HiSeq 2500 is a high-throughput DNA sequencing system designed for a wide range of applications, including whole-genome sequencing, targeted sequencing, and transcriptome analysis. The system utilizes Illumina's proprietary sequencing-by-synthesis technology to generate high-quality sequencing data with speed and accuracy.
Sourced in United States, Austria, Japan, Cameroon, Germany, United Kingdom, Canada, Belgium, Israel, Denmark, Australia, New Caledonia, France, Argentina, Sweden, Ireland, India
SAS version 9.4 is a statistical software package. It provides tools for data management, analysis, and reporting. The software is designed to help users extract insights from data and make informed decisions.

More about "Parent"

Parenting involves the nurturing and care of children, which plays a crucial role in their physical, emotional, and social development.
Effective parenting requires a balance of discipline, affection, and communication to help children grow into healthy, well-adjusted individuals.
Parents are responsible for meeting a child's basic needs, offering guidance and support, and fostering a safe and loving environment.
The parent-child relationship is fundamental to a child's well-being and can have a lasting impact on their future development and success.
Discover how PubCompare.ai's AI-driven platform can help parents optimize their research protocols.
Locate the best protocols from literature, pre-prints, and patents using intelligent comparisons.
Identify the ideal products and procedures for your research needs with PubCompare.ai's powerful AI-driven tools.
Whether you're working with cell culture media like DMEM or performing genetic analysis with tools like the HiSeq 2000 and SAS 9.4, PubCompare.ai can help you find the most effective protocols and procedures to support your research.
Parenting also involves the use of common antibiotics like Penicillin and Streptomycin to maintain a healthy environment for children.
Additionally, transfection reagents like Lipofectamine 2000 may be used in genetic research related to child development.
By staying up-to-date on the latest techniques and technologies, parents can ensure they are providing the best possible care and support for their children.