At4g27270 Antibody

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Description

Introduction to At4g27270 Antibody

The At4g27270 Antibody is a monoclonal antibody targeting the Arabidopsis thaliana protein encoded by the At4g27270 gene. This protein, annotated as Probable NAD(P)H dehydrogenase (quinone) FQR1-like 1 (UniProt: Q6NQE2), functions as an oxidoreductase involved in electron transfer processes, specifically interacting with flavin mononucleotide (FMN) and exhibiting NAD(P)H dehydrogenase activity . The antibody is widely used in plant molecular biology to study protein localization, expression dynamics, and functional roles under stress conditions such as iron deficiency .

Antibody Sources

Two commercial providers offer At4g27270-specific antibodies:

ProviderProduct CodeTarget RegionHost SpeciesApplications
AbmartX-Q6NQE2 (-N/-C/-M)N/C/M terminiMouse monoclonalELISA, Western Blot (WB)
CusabioCSB-PA945139XA01DOAFull-lengthPolyclonalWB, ELISA, Immunoprecipitation

Key Features

  • Epitopes: Designed against synthetic peptides representing N-terminal (amino acids 1–50), C-terminal (156–205), or middle (non-terminal) regions .

  • Sensitivity: Detects ~1 ng of target protein in WB under optimized conditions .

Role in Iron Deficiency Responses

At4g27270 was identified in proteomic studies of Beta vulgaris (sugar beet) root tips under iron (Fe)-deficient conditions. Key findings include:

  • Protein Downregulation: At4g27270 homologs showed decreased abundance in Fe-deficient root tips compared to Fe-sufficient controls, as detected via 2D gel electrophoresis and MALDI-MS .

  • Functional Implications: The protein’s oxidoreductase activity and FMN-binding capacity suggest involvement in redox homeostasis during Fe stress .

Table 1: Metabolic and Proteomic Changes Linked to At4g27270 in Fe Deficiency

ConditionChange in At4g27270Associated MetabolitesBiological Impact
Fe deficiency↓ 50–70%↓ Oxalic acid; ↑ Citric/Aconitic acidDisrupted electron transport chains
Fe resupply (72h)Partial recoveryNormalized organic acid levelsRestoration of redox balance

Technical Validation

  • Western Blot: Used to confirm protein expression patterns in Arabidopsis and heterologous systems (e.g., Beta vulgaris) .

  • ELISA: Quantifies antibody-antigen interactions with titers up to 10,000 .

Pricing and Purchase Options

Package (Abmart)ComponentsPriceDelivery Time
X2-Q6NQE2 (WB)N + C terminus antibodies$89930 days
Single combinationN, C, or M terminus$59930 days

Custom antibody development is available for specialized needs (e.g., blocking assays, epitope specificity) .

Future Directions

Further studies should explore:

  1. Cross-Species Reactivity: Validate antibody efficacy in non-model plants.

  2. Stress-Specific Roles: Link At4g27270 dynamics to abiotic stresses beyond Fe deficiency.

  3. Structural Analysis: Resolve 3D conformation to map FMN-binding sites.

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
At4g27270Probable NAD(P)H dehydrogenase antibody; quinone) FQR1-like 1 antibody; EC 1.6.5.2 antibody
Target Names
At4g27270
Uniprot No.

Target Background

Function
This antibody catalyzes the transfer of electrons from NADH and NADPH, reducing quinone to its hydroquinone state.
Database Links

KEGG: ath:AT4G27270

STRING: 3702.AT4G27270.1

UniGene: At.32111

Protein Families
WrbA family
Subcellular Location
Cell membrane.

Q&A

How can I validate the specificity of At4g27270 antibodies in my experimental system?

Antibody validation is a critical first step before conducting extensive experiments. For At4g27270 antibodies, validation should include multiple complementary approaches:

  • Western blot analysis comparing wild-type samples with knockout/knockdown controls

  • Immunoprecipitation followed by mass spectrometry confirmation

  • Immunofluorescence with appropriate positive and negative controls

  • Cross-reactivity testing with closely related proteins

The gold standard validation approach involves comparing antibody binding in samples with and without the target protein. For example, research on other antibodies has demonstrated the importance of rigorous specificity testing. The A4 antibody developed for detecting neuraminidase mutations showed approximately 600 times stronger binding affinity for its target mutant protein compared to wild-type, providing clear specificity validation .

What detection platforms are compatible with At4g27270 antibodies?

At4g27270 antibodies can be utilized across multiple detection platforms, each with distinct advantages:

  • Immunoblotting/Western blot for protein size and expression level analysis

  • Immunofluorescence microscopy for localization studies

  • Flow cytometry for quantitative cell population analysis

  • ELISA for quantitative detection in solution

Research demonstrates that antibodies can be adapted to numerous sensing platforms. For instance, the A4 antibody has been successfully implemented in naked-eye detection, surface-enhanced Raman scattering-based immunoassay, and lateral flow systems . Similar approaches could be adapted for At4g27270 antibodies, depending on your specific research requirements.

What are the best fixation and permeabilization methods when using At4g27270 antibodies for plant tissue immunolocalization?

Optimal fixation and permeabilization protocols for plant tissue immunolocalization with At4g27270 antibodies typically include:

  • Paraformaldehyde fixation (4%) for 1-2 hours to preserve protein structure

  • Controlled cell wall digestion using a combination of cellulase and pectolyase

  • Membrane permeabilization with 0.1-0.5% Triton X-100

  • Blocking with BSA or normal serum to reduce non-specific binding

The fixation and permeabilization procedures should be optimized based on tissue type and subcellular localization of the target protein. Research on plant proteins such as MPKs has demonstrated the importance of tailored fixation protocols that preserve epitope accessibility while maintaining tissue structure .

How can I monitor real-time internalization of At4g27270 antibodies in living plant cells?

Real-time antibody internalization monitoring requires specialized approaches:

  • Conjugate At4g27270 antibodies with pH-sensitive fluorescent dyes that brighten in acidic compartments

  • Establish baseline measurements in non-expressing control cells

  • Capture time-lapse images at appropriate intervals (15-30 minutes) for at least 12 hours

  • Normalize fluorescence measurements to cell density

Research on internalization assays with other antibodies has shown that fluorescent signals should be observed in the cytosolic compartment but not in the nucleus, consistent with the expected localization of internalized antibodies to lysosomes and endosomes . Time-dependent increases in fluorescence can be quantified using area measurements (μm²/well) .

When designing such experiments, it's important to include appropriate controls. For example, in similar studies, mouse IgG1 isotype controls were used alongside target-specific antibodies to confirm signal specificity .

What approaches can detect conformational changes in At4g27270 antibodies during antigen binding?

Detecting conformational changes requires sophisticated biophysical techniques:

  • Hydrogen-deuterium exchange mass spectrometry (HDX-MS) to map dynamic regions

  • Förster resonance energy transfer (FRET) for monitoring distance changes between domains

  • Single-molecule FRET to observe individual antibody molecules during binding events

  • Distance Constraint Model (DCM) computational analysis to characterize mechanical properties

Research has demonstrated that antibodies undergo significant conformational changes during maturation and binding. Analysis of antibody flexibility using computational Distance Constraint Models has revealed that germline antibodies typically display greater conformational flexibility compared to affinity-matured variants . When studying At4g27270 antibodies, researchers should consider that different domains may show variable flexibility patterns, with changes often concentrated in CDR loops .

How can I identify epitopes recognized by At4g27270 antibodies with high precision?

High-precision epitope mapping requires multi-faceted approaches:

  • X-ray crystallography of antibody-antigen complexes provides atomic-level resolution

  • Hydrogen-deuterium exchange mass spectrometry identifies protected regions upon binding

  • Peptide array scanning with overlapping peptides spanning the entire protein sequence

  • Alanine scanning mutagenesis to identify critical binding residues

Research on antibody-antigen interactions has shown that multiple complementarity-determining regions (CDRs) typically contribute to binding. For example, studies have demonstrated that antigens can interact directly with CDR-H3 and CDR-L3 loops, with additional contacts involving CDR-H1 and CDR-H2 loops . When mapping At4g27270 antibody epitopes, researchers should examine all potential interaction surfaces.

What is the optimal cell density for At4g27270 antibody internalization studies?

Cell density significantly impacts antibody internalization measurements:

  • Test a range of cell densities (1,000-20,000 cells/well) to determine optimal conditions

  • Normalize internalization signals to phase contrast area for accurate comparisons

  • Consider that both too low and too high cell densities can produce suboptimal results

  • Monitor time-course data over at least 12 hours to capture complete internalization kinetics

Research with other antibodies has demonstrated that internalization response size is dependent on cell number, with signal intensity increasing with cell density . Below is a representation of how cell density affects internalization measurements:

Cell Density (cells/well)Normalized Internalization Signal at 12hSignal-to-Background Ratio
1,000Low<5:1
5,000Moderate~10:1
10,000Optimal>15:1
20,000High (potential crowding)>15:1

For At4g27270 antibody studies, establishing this relationship for your specific experimental system is crucial for reliable data interpretation.

How should I optimize labeling of At4g27270 antibodies with fluorescent dyes?

Fluorescent labeling of At4g27270 antibodies requires careful optimization:

  • Select pH-sensitive dyes for internalization studies or standard fluorophores for other applications

  • Determine optimal dye-to-antibody ratio (typically 2-8 dye molecules per antibody)

  • Purify labeled antibodies to remove free dye molecules

  • Validate that labeling doesn't impair antibody binding affinity

Research with antibody labeling has shown that effective concentrations typically range around 4 μg/mL for cell-based assays . When labeling At4g27270 antibodies, researchers should validate retention of specificity after conjugation by comparing binding of labeled and unlabeled antibodies.

What techniques can improve At4g27270 antibody stability during long-term storage?

Optimizing antibody stability requires addressing multiple factors:

  • Store antibodies at appropriate concentrations (0.5-1.0 mg/mL) to prevent aggregation

  • Add stabilizing agents such as glycerol (50%) for freezer storage

  • Consider lyophilization with appropriate cryoprotectants for long-term preservation

  • Avoid repeated freeze-thaw cycles by preparing single-use aliquots

Research on antibody flexibility and stability has shown that conformational flexibility is an intrinsic property of antibodies, particularly in the complementarity-determining regions (CDRs) . Stabilizing conditions should aim to prevent conformational changes that could affect binding properties.

How can I distinguish between specific and non-specific binding when using At4g27270 antibodies?

Distinguishing specific from non-specific binding requires appropriate controls and analysis:

  • Include isotype control antibodies matched to your At4g27270 antibody

  • Test binding in tissues/cells known to lack At4g27270 expression

  • Perform competitive binding assays with unlabeled antibodies or purified antigen

  • Compare signal patterns across multiple detection methods

Research with other antibodies has demonstrated that proper controls provide confidence in signal specificity. For example, studies using CD marker antibodies showed that anti-CD20 was internalized only in B cell lines but not T cell lines, while anti-CD3 showed the opposite pattern, confirming specificity of detection .

What molecular factors influence the rigidity and flexibility of At4g27270 antibodies?

Multiple factors contribute to antibody rigidity and flexibility:

  • Hydrogen bonding networks throughout the antibody structure

  • Salt bridges, particularly those involving Arg and Asp residues

  • Somatic mutations accumulated during affinity maturation

  • CDR loop composition and length

Research using Distance Constraint Models has shown that affinity maturation typically leads to rigidification of the VH domain while the VL domain and CDR L2 loop often become more flexible . The redistribution of conformational flexibility is largely controlled by nonspecific changes in the hydrogen bond network, with certain salt bridges creating highly localized rigidity increases .

How can I reconcile contradictory results between different At4g27270 antibody-based detection methods?

When facing contradictory results across detection methods:

  • Examine epitope accessibility differences between methods (native vs. denatured conditions)

  • Consider fixation and sample preparation effects on epitope presentation

  • Evaluate potential cross-reactivity with related proteins

  • Assess antibody batch variability and storage conditions

Research has shown that antibodies can perform differently across various platforms. For example, the A4 antibody demonstrated specificity across multiple detection platforms but with varying sensitivity . When working with At4g27270 antibodies, researchers should validate performance across all intended applications rather than assuming uniform behavior.

How can I develop At4g27270 antibodies that specifically recognize post-translational modifications?

Developing modification-specific antibodies requires specialized approaches:

  • Immunize with synthetic peptides containing the specific modification

  • Implement negative selection strategies against unmodified peptides/proteins

  • Characterize cross-reactivity with related modifications

  • Validate specificity using samples with controlled modification states

Research on antibody development has demonstrated the feasibility of creating highly specific antibodies that distinguish subtle differences in target proteins. For example, the A4 antibody was specifically developed to recognize and bind to mutant I223R/H275Y neuraminidase with approximately 600 times stronger binding affinity compared to wild-type neuraminidase .

What are the key considerations when designing antibody pairs for At4g27270 sandwich immunoassays?

Designing effective sandwich immunoassay pairs requires:

  • Selecting antibodies recognizing distinct, non-overlapping epitopes

  • Testing capture antibody orientation and density optimization

  • Evaluating detection antibody labeling strategies

  • Determining optimal buffer conditions to minimize non-specific interactions

Research with other antibody pairs has shown that optimal performance requires comprehensive testing of multiple combinations. When developing At4g27270 sandwich assays, researchers should consider that conformational changes upon initial antibody binding may affect accessibility of secondary epitopes .

How does antibody affinity maturation affect At4g27270 antibody performance in research applications?

Affinity maturation impacts multiple antibody properties:

  • Binding affinity and specificity typically increase with maturation

  • Conformational flexibility generally decreases in CDR H3 regions

  • Off-target binding usually decreases with maturation

  • Temperature and pH stability often improve through maturation

Research has shown that germline antibodies are typically more polyspecific due to increased conformational flexibility . During affinity maturation, accumulated mutations (typically 10-20) lead to significant conformational changes, especially in the H3 loop . These changes typically enhance specificity but may affect performance across different applications in unpredictable ways.

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