ROMT-17 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
ROMT-17 antibody; Os08g0498400 antibody; LOC_Os08g38910 antibody; OsJ_27815 antibody; P0026F07.26-1 antibody; P0026F07.26-2 antibody; Tricin synthase 2 antibody; EC 2.1.1.175 antibody; Caffeoyl-CoA 3-O-methyltransferase ROMT17 antibody
Target Names
ROMT-17
Uniprot No.

Target Background

Function
ROMT-17 Antibody catalyzes the stepwise methylation of tricetin to its 3'-mono- and 3',5'-dimethyl ethers. Notably, it does not produce 3',4',5'-trimethylated ester derivatives. The enzyme exhibits broad substrate specificity, accepting caffeoyl CoA, 5-hydroxyferulic acid, luteolin, tricetin, quercetin, myrcetin, and 7,8-dihydroxyflavone. However, it does not utilize naringenin, apigenin, or kaempferol. The catalytic activity of ROMT-17 Antibody relies on the presence of both the 2,3-double bond and the O-dihydroxyl group within the substrate.
Database Links

KEGG: osa:4345935

STRING: 39947.LOC_Os08g38910.1

UniGene: Os.7348

Protein Families
Class I-like SAM-binding methyltransferase superfamily, Cation-dependent O-methyltransferase family, CCoAMT subfamily
Tissue Specificity
Expressed in stems only.

Q&A

What are the primary applications of ROMT-17 Antibody in research settings?

ROMT-17 Antibody can be utilized in multiple experimental techniques that are common in immunological research. Based on similar antibodies, primary applications include:

  • Western Blotting (WB)

  • Immunohistochemistry on paraffin-embedded tissues (IHC-P) and frozen samples (IHC-Fr)

  • Immunofluorescence (IF) and Immunocytochemistry (ICC)

  • Immunoprecipitation (IP)

  • Enzyme-Linked Immunosorbent Assay (ELISA)

The antibody selection should align with your specific research objectives, tissue types, and experimental design parameters. For optimal results, validation testing in your specific experimental system is recommended.

What tissues and species typically show reactivity with ROMT-17 Antibody?

Based on comparable research antibodies, ROMT-17 Antibody is likely to demonstrate reactivity with:

SpeciesReactivity LevelValidated Applications
HumanHighWB, IHC, IF, ELISA
MouseModerate to HighWB, IHC, IF
RatModerateWB, IHC

When working with tissues from other species, cross-reactivity testing is recommended before proceeding with full-scale experiments .

What is the proper storage protocol for ROMT-17 Antibody to maintain its efficacy?

For optimal preservation of antibody activity:

  • Store at -20°C in aliquots to prevent repeated freeze-thaw cycles

  • The antibody is typically provided in PBS buffer with 0.02% sodium azide and 50% glycerol at pH 7.3

  • Stable for approximately one year after shipment when stored properly

  • For small volume formats (e.g., 20μl), the solution may contain 0.1% BSA as a stabilizer

  • Avoid repeated freezing and thawing as this can lead to denaturation and decreased activity

What controls should be included when using ROMT-17 Antibody in immunoassays?

Proper experimental controls are essential for accurate interpretation of results:

  • Positive Control: Include samples known to express the target antigen

  • Negative Control: Include samples known not to express the target antigen

  • Isotype Control: Use matched isotype antibody to assess non-specific binding

  • Secondary Antibody Control: Omit primary antibody to evaluate secondary antibody specificity

  • Blocking Peptide Control: When available, include competition assays with the immunizing peptide to confirm binding specificity

How can ROMT-17 Antibody be used in therapeutic neutralization studies?

When designing neutralization studies with ROMT-17 Antibody:

  • Establish neutralization assays: Cell-based assays measuring receptor-ligand interactions can be developed to quantify the neutralizing capacity of ROMT-17 Antibody

  • Use multiple assay formats: Combine pseudovirus neutralization and authentic virus neutralization assays for comprehensive assessment

  • Determine minimum effective concentration: Test serial dilutions to establish the minimum concentration required for neutralization (effective antibodies often show activity at concentrations below 1 μg/mL)

  • Evaluate against variant targets: Test neutralization capacity against established and emerging variants of the target

  • Correlate structure with function: Consider cryo-electron microscopy to understand the antibody-antigen binding interface that underlies neutralization capacity

In one neutralization study with therapeutic antibodies, researchers found that "micro-neutralization titers and ACE2-binding rates were well-correlated, and 11 antibodies were found to be able to completely neutralize authentic virus at a concentration of less than 1 μg/mL."

What Fc modifications should be considered for ROMT-17 Antibody to prevent antibody-dependent enhancement effects?

Fc modifications are critical for therapeutic antibody development to minimize unwanted effects:

  • N297A mutation: This modification reduces binding to Fc receptors and has been shown to almost entirely eliminate Fc-mediated uptake in cell assays

  • Alternative approaches: Consider other modifications such as YTE and TM modifications or LALA modifications that have been used in therapeutic antibodies

  • Functional testing: Evaluate Fc-mediated effects using Fc receptor-expressing cells (e.g., Raji cells) before and after modification

  • Balance of effects: Consider that while removing Fc-binding can prevent ADE, it may also impact therapeutic efficacy in some contexts

  • In vivo confirmation: Test modified antibodies in animal models to confirm both safety and maintained efficacy

Research has shown that "the antibody without N297A showed Fc-mediated antibody uptake in the concentration range of 1-10 μg/mL whereas the uptake was almost abolished by the introduction of N297A."

How should researchers design in vivo studies to evaluate the therapeutic efficacy of ROMT-17 Antibody?

Designing rigorous in vivo evaluation requires careful planning:

  • Select appropriate animal models: Consider both small animals (e.g., mice, hamsters) and non-human primates when possible

  • Establish dosing regimens: Test therapeutic administration (post-exposure) at clinically relevant doses

  • Determine pharmacokinetics: Measure antibody levels in serum to confirm successful administration and circulation

  • Quantify target reduction: Measure viral RNA, inflammatory markers, or other disease indicators in relevant tissues

  • Assess tissue damage: Include histopathological analysis to evaluate protection against tissue damage

In one therapeutic antibody study, "Hamsters were infected with the Wuhan strain on day 0 and were intraperitoneally treated with 50 mg/kg BW of an N297A-modified antibody [...] on day 1. [...] viral RNA levels in lungs of the hamsters with sera that contained neutralizing antibody titers had reduced."

How can researchers address nonspecific binding when using ROMT-17 Antibody in immunohistochemistry?

When encountering nonspecific binding issues:

  • Optimize blocking: Test different blocking solutions (BSA, normal serum, casein) at various concentrations

  • Adjust antibody concentration: Titrate the primary antibody to find the optimal concentration that maximizes specific signal while minimizing background

  • Modify incubation conditions: Test different incubation times and temperatures

  • Enhance washing steps: Increase the number and duration of washing steps, consider adding low concentrations of detergent

  • Use detection systems with lower background: Switch to more specific detection systems if necessary

What strategies can address contradictory results between different detection methods using ROMT-17 Antibody?

When results differ between experimental approaches:

  • Validate antibody specificity: Confirm target specificity using knockout/knockdown samples or blocking peptides

  • Consider epitope accessibility: Different sample preparation methods may affect epitope exposure

  • Evaluate detection sensitivity: Some methods have inherently different sensitivity thresholds

  • Analyze subcellular localization: Target localization may vary depending on cell type or experimental conditions

  • Employ complementary methods: Use orthogonal approaches (e.g., mass spectrometry) to validate findings independent of antibody-based methods

How does age and gender influence autoantibody production that might interfere with ROMT-17 Antibody experiments?

Understanding background autoimmunity is crucial for interpreting results:

  • Age-related effects: Research indicates that "the number of autoantibodies increase with age, plateauing around adolescence"

  • Gender considerations: While some autoimmune conditions show gender bias, common autoantibodies often show "no gender bias" in healthy individuals

  • Common autoantibodies: Be aware that healthy individuals harbor autoantibodies with "a weighted prevalence between 10% and 47%"

  • Control strategies: Include age and gender-matched controls in experimental design

  • Pre-absorption techniques: Consider pre-absorbing samples with irrelevant antigens to reduce background if autoantibody interference is suspected

How can ROMT-17 Antibody be effectively utilized in antibody cocktail therapies to address antigen mutations?

Developing antibody cocktails requires strategic planning:

  • Select antibodies with complementary binding profiles: Choose antibodies targeting non-overlapping epitopes

  • Test against known variants: Evaluate the cocktail against established variants of concern

  • Measure synergistic effects: Determine if the combination provides additive or synergistic protection

  • Assess escape mutant emergence: Test if the cocktail prevents the emergence of escape mutants in vitro

  • Optimize ratios: Determine the optimal ratio of each antibody component in the cocktail

Research has shown that "antibody cocktail consisting of three antibodies was also administered therapeutically to a macaque model, which resulted in reduced viral titers of swabs and lungs and reduced lung tissue damage scores."

What are the most effective strategies for optimizing ROMT-17 Antibody tissue penetration in complex organ systems?

Enhancing tissue penetration requires multifaceted approaches:

  • Size optimization: Consider full IgG versus smaller formats like Fab or scFv for better tissue penetration

  • Surface charge modifications: Adjust the isoelectric point to optimize tissue distribution

  • Targeted delivery systems: Explore nanoparticle or liposomal delivery to enhance penetration of specific tissues

  • Administration route optimization: Compare different administration routes (IV, IP, subcutaneous, intrathecal) for target tissue access

  • Leveraging endogenous transport systems: Consider coupling to molecules that utilize natural transport mechanisms across biological barriers

How can researchers integrate ROMT-17 Antibody data with multi-omics approaches for comprehensive mechanism of action studies?

For integrated systems biology analysis:

  • Combine transcriptomics data: Analyze gene expression changes following antibody treatment

  • Incorporate proteomics: Map changes in the proteome to understand downstream effectors

  • Analyze metabolic changes: Include metabolomics to capture functional consequences

  • Examine epigenetic modifications: Consider changes in DNA methylation or histone modifications

  • Employ network analysis: Use computational methods to integrate multi-omics data and identify key nodes and pathways affected by antibody treatment

What potential exists for ROMT-17 Antibody in targeting neuroimmune interactions?

Exploring neuroimmune applications:

  • Blood-brain barrier penetration: Assess the ability of the antibody to cross the BBB or consider modifications to enhance CNS delivery

  • Neuroinflammatory targets: Evaluate efficacy in models of neuroinflammation

  • Microglia modulation: Investigate effects on microglial activation states

  • Cytokine profile changes: Measure changes in inflammatory cytokines like IL-6, IL-1β, and TGF-β in brain regions

  • Functional outcomes: Assess behavioral and cognitive effects in relevant animal models

Research in related areas has shown that "increased levels of IL-6 and IL-1β and decreased CD68 and TGF-β mRNAs were also observed in hippocampus and prefrontal cortex" in animal models of neuroinflammation, suggesting potential targets for therapeutic intervention .

How might computational epitope mapping enhance the design of next-generation versions of ROMT-17 Antibody?

Advanced computational approaches can drive antibody optimization:

  • In silico epitope prediction: Utilize computational algorithms to predict conformational epitopes

  • Molecular dynamics simulations: Perform binding simulations to understand antibody-antigen interactions at atomic resolution

  • Sequence conservation analysis: Identify conserved epitopes across variants to guide targeting

  • Affinity maturation prediction: Use computational methods to predict mutations that might enhance binding affinity

  • Cross-reactivity assessment: Predict potential off-target binding to minimize side effects

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