At5g65820 Antibody

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Description

Target Protein: At5g65820 Gene Product

The At5g65820 gene encodes a protein annotated as Q9FH87 in UniProt. While functional details of this protein are not explicitly provided in the search results, Arabidopsis genes with "At" prefixes typically follow systematic nomenclature, where "At" denotes Arabidopsis thaliana, followed by chromosome number (5), and a unique identifier (g65820). Such proteins often participate in metabolic, regulatory, or stress-response pathways in plants.

Applications and Research Context

Although no direct experimental data for the At5g65820 antibody are cited in the provided sources, its inclusion in a commercial catalog implies its use in:

  • Protein expression profiling: Detecting Q9FH87 in transgenic or wild-type Arabidopsis lines.

  • Subcellular localization studies: Immunofluorescence or immunohistochemistry in plant tissues.

  • Functional genomics: Validating gene-editing outcomes (e.g., CRISPR knockouts).

Antibodies targeting Arabidopsis proteins are critical for studying plant development, abiotic stress responses, and pathogen interactions .

Validation and Quality Considerations

The search results highlight broader challenges in antibody specificity, as seen with the anti-glucocorticoid receptor clone 5E4, which exhibited cross-reactivity with unrelated proteins . While validation data for the At5g65820 antibody are not provided here, best practices recommend:

  • Western blotting: Confirm band size matches the predicted molecular weight of Q9FH87.

  • Knockout controls: Use At5g65820 mutant plants to verify signal absence.

  • Independent verification: Compare results with orthogonal methods (e.g., mass spectrometry).

Limitations and Future Directions

No peer-reviewed studies using this antibody are cited in the provided sources, indicating a gap in published functional data. Future work could focus on:

  • Characterizing Q9FH87’s role in Arabidopsis physiology.

  • Publishing application-specific validation (e.g., immunoprecipitation efficiency).

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
At5g65820 antibody; K22J17.3 antibody; Putative pentatricopeptide repeat-containing protein At5g65820 antibody
Target Names
At5g65820
Uniprot No.

Q&A

What is AT5G65820 and why generate antibodies against it?

AT5G65820 belongs to the Pentatricopeptide repeat (PPR) superfamily of proteins in Arabidopsis thaliana, characterized by tandem arrays of a degenerate 35-amino-acid repeat motif . These proteins typically function in RNA processing, including splicing, editing, stability, and translation, predominantly in organelles. Generating antibodies against AT5G65820 enables researchers to study its subcellular localization, protein-protein interactions, expression levels, and functional roles in plant development and stress responses. The protein's predicted cytosolic localization (SUBAcon score: 0.629) suggests it may have unique functions compared to organelle-targeted PPR proteins .

How can I validate the specificity of an AT5G65820 antibody?

Validation of AT5G65820 antibodies requires a multi-step approach:

  • Knockout/knockdown controls: Test the antibody in AT5G65820 T-DNA insertion lines or CRISPR-Cas9 generated knockouts to confirm absence of signal.

  • Recombinant protein analysis: Express and purify AT5G65820 with an orthogonal tag (His, GST, etc.) and confirm antibody recognition.

  • Western blot analysis: Verify single band of appropriate molecular weight (~65-70 kDa predicted for AT5G65820).

  • Cross-reactivity assessment: Test against closely related PPR proteins, particularly AT3G49730.1 which TAIR10 identifies as the closest match .

  • Immunoprecipitation-Mass Spectrometry: Confirm that immunoprecipitated protein is indeed AT5G65820.

This comprehensive validation framework, similar to approaches used for validating malarial antigen antibodies , ensures reliable experimental outcomes and reproducible research findings.

What are the optimal sample preparation methods for AT5G65820 detection in plant tissues?

For effective AT5G65820 detection in plant tissues, consider the following protocol:

  • Tissue selection: Young, metabolically active tissues typically show higher expression of PPR proteins.

  • Extraction buffer composition: Use a buffer containing:

    • 50 mM Tris-HCl (pH 7.5)

    • 150 mM NaCl

    • 1% Triton X-100

    • 1 mM EDTA

    • Protease inhibitor cocktail

    • 1 mM DTT or 5 mM β-mercaptoethanol

  • Cellular fractionation: Since AT5G65820 is predicted to be primarily cytosolic (SUBAcon score: 0.629) , differential centrifugation can enrich for the protein.

  • Protein denaturation: For Western blotting, heat samples at 70°C instead of 95°C to prevent aggregation of membrane-associated fractions if AT5G65820 exhibits membrane interactions.

  • Sample loading: Load 30-50 μg of total protein per lane for standard Western blot detection.

Proper sample preparation is critical as inadequate extraction or denaturation can lead to false negative results, particularly for proteins with complex subcellular distributions.

How can epitope mapping be used to develop function-blocking antibodies for AT5G65820?

Developing function-blocking antibodies for AT5G65820 requires strategic epitope mapping to target functional domains:

  • Structural analysis: Using protein structure prediction tools, identify the RNA-binding surfaces and PPR motifs of AT5G65820 that are likely critical for its function.

  • Peptide array screening: Generate an overlapping peptide array spanning the complete AT5G65820 sequence to identify immunogenic regions accessible in the native protein.

  • Targeted immunization strategy: Design immunogens from functional domains, particularly the PPR motifs responsible for RNA recognition.

  • Functional screening: Screen antibody candidates for their ability to disrupt AT5G65820-RNA interactions in vitro using electrophoretic mobility shift assays (EMSAs).

  • Cellular validation: Test antibodies for their capacity to inhibit AT5G65820 function when introduced into plant protoplasts.

This approach mirrors successful strategies used in malaria research, where antibodies targeting specific epitopes of PfRH5 demonstrated superior functional inhibition of parasite invasion . By identifying antibodies that target the RNA-binding interface of AT5G65820, researchers can develop valuable tools for dissecting its molecular function in RNA processing pathways.

What are the challenges in generating phospho-specific antibodies for studying AT5G65820 post-translational modifications?

Generating phospho-specific antibodies for AT5G65820 presents several unique challenges:

  • Identification of relevant phosphorylation sites: Analyze existing phosphoproteomics data or predict potential phosphorylation sites using tools like PhosPhAt for Arabidopsis proteins.

  • Peptide design considerations:

    • Include 10-15 amino acids surrounding the phosphorylation site

    • Ensure the phospho-peptide maintains proper conformation

    • Consider coupling to a carrier protein (KLH or BSA) for immunization

  • Antibody validation strategies:

    • Test against phosphorylated and non-phosphorylated peptides

    • Validate with lambda phosphatase-treated samples as negative controls

    • Confirm using AT5G65820 phospho-mutants (Ser/Thr to Ala)

  • Cross-reactivity mitigation:

    • Pre-absorb antibodies with non-phosphorylated peptide

    • Test against closely related PPR proteins with similar phosphorylation motifs

    • Validate across different plant tissues and conditions

  • Functional verification:

    • Correlate phosphorylation with AT5G65820 activity

    • Map phosphorylation dynamics under different stress conditions

This specialized approach reflects similar challenges encountered when developing antibodies against post-translationally modified epitopes in other systems, where antibody specificity and phosphorylation state recognition are critical for experimental validity .

How can super-resolution microscopy be optimized for studying AT5G65820 subcellular dynamics using antibodies?

Optimizing super-resolution microscopy for AT5G65820 localization studies requires several technical considerations:

  • Fixation protocol optimization:

    • Test both paraformaldehyde (2-4%) and methanol fixation

    • Evaluate gentler fixation methods to preserve protein-protein interactions

    • Consider combining with tissue clearing techniques for deeper imaging

  • Antibody labeling strategies:

    • Use directly labeled primary antibodies to minimize spatial displacement

    • For STORM/PALM, consider site-specific conjugation of photoactivatable fluorophores

    • For two-color imaging, select fluorophores with minimal spectral overlap

  • Sample mounting considerations:

    • Use mounting media with appropriate refractive index for the imaging modality

    • For STED microscopy, select mounting media with anti-fade properties

    • For STORM, use oxygen-scavenging buffers with appropriate thiol concentration

  • Image acquisition parameters:

    • Optimize laser power to minimize photobleaching while maintaining signal

    • Adjust pixel size to match the resolution limit of the system (typically 10-20 nm)

    • Collect sufficient frames (10,000-50,000) for STORM/PALM reconstruction

  • Data analysis approaches:

    • Apply appropriate clustering algorithms to analyze AT5G65820 distribution

    • Quantify colocalization with RNA granules or processing bodies

    • Track temporal changes in AT5G65820 distribution under stress conditions

This approach incorporates advanced imaging techniques similar to those used for high-resolution visualization of protein complexes in immunological research , adapted specifically for plant cell biology applications.

What strategies can be employed for co-immunoprecipitation of AT5G65820 RNA-protein complexes?

Isolating AT5G65820 RNA-protein complexes requires specialized co-immunoprecipitation (co-IP) approaches:

  • Crosslinking optimization:

    • Test formaldehyde (0.1-1%) for protein-protein crosslinking

    • Evaluate UV crosslinking (254 nm) for direct RNA-protein interactions

    • Consider specialized crosslinkers like DSP for reversible crosslinking

  • Lysis buffer composition:

    • Include RNase inhibitors (RNasin or SUPERase-In)

    • Test various detergent concentrations (0.1-0.5% NP-40 or Triton X-100)

    • Adjust salt concentration (150-300 mM) to maintain complex integrity

  • Antibody immobilization strategies:

    • Compare protein A/G beads with directly conjugated magnetic beads

    • Test oriented antibody coupling using Protein A/G adaptors

    • Evaluate covalent vs. non-covalent antibody immobilization

  • RNA preservation and extraction:

    • Optimize washing conditions to remove non-specific RNA

    • Include spike-in controls to normalize RNA recovery

    • Consider on-bead RT-PCR for low-abundance transcripts

  • Validation approaches:

    • Perform parallel IP with antibodies against known interacting proteins

    • Include IgG controls and AT5G65820 knockout/knockdown samples

    • Validate interactions using orthogonal methods (e.g., RNA EMSA)

Crosslinking MethodAdvantagesDisadvantagesRecommended Conditions for AT5G65820
FormaldehydeCaptures protein-protein interactionsMay interfere with antibody epitopes0.3%, 10 min, room temperature
UV (254 nm)Direct RNA-protein crosslinkingLower efficiency400 mJ/cm², on ice
DSPReversible, maintains protein structureLimited RNA crosslinking2 mM, 30 min, room temperature

This specialized approach draws on principles similar to those used in studying multiprotein complexes in immunological research , adapted specifically for RNA-binding proteins like AT5G65820.

How can I address non-specific binding issues with AT5G65820 antibodies in immunolocalization studies?

Non-specific binding in AT5G65820 immunolocalization can be systematically addressed:

  • Blocking optimization:

    • Test various blocking agents (5% BSA, 5% normal serum, commercial blockers)

    • Extend blocking time (2-16 hours) at lower temperatures

    • Include 0.1-0.3% Triton X-100 to reduce hydrophobic interactions

  • Antibody dilution optimization:

    • Perform serial dilutions (1:100 to 1:5000) to identify optimal concentration

    • Pre-absorb antibody with plant extract from AT5G65820 knockout plants

    • Consider purifying antibody using antigen-affinity chromatography

  • Washing protocol refinement:

    • Increase washing stringency with higher salt concentrations (150-500 mM NaCl)

    • Add mild detergents (0.05-0.1% Tween-20) to washing buffers

    • Extend washing times and increase wash volume

  • Tissue-specific considerations:

    • Optimize fixation based on tissue type (leaves vs. roots vs. reproductive tissues)

    • Address autofluorescence using appropriate quenching methods

    • Consider specimen-specific permeabilization conditions

  • Validation controls:

    • Include peptide competition assays to confirm specificity

    • Use fluorophore-only controls to assess background

    • Compare signal in wild-type vs. knockout/knockdown plants

These systematic approaches reflect best practices similar to those employed in antibody validation for diagnostic applications , adapted specifically for plant immunohistochemistry challenges.

What are the optimal conditions for using AT5G65820 antibodies in chromatin immunoprecipitation (ChIP) experiments?

Optimizing ChIP protocols for AT5G65820 requires special considerations for a potential RNA-binding protein:

  • Crosslinking optimization:

    • Test various formaldehyde concentrations (0.5-3%)

    • Evaluate dual crosslinking with DSG followed by formaldehyde

    • Optimize crosslinking time (5-20 minutes) based on tissue type

  • Chromatin fragmentation parameters:

    • Compare sonication vs. enzymatic digestion

    • For sonication: optimize cycles, amplitude, and duration

    • Target fragment size of 200-500 bp for standard ChIP-seq

  • Immunoprecipitation conditions:

    • Test various antibody concentrations (2-10 μg per reaction)

    • Compare protein A/G beads with directly conjugated magnetic beads

    • Optimize bead amount and incubation time (4 hours to overnight)

  • Washing stringency balance:

    • Test buffers with increasing stringency (150-500 mM NaCl)

    • Evaluate LiCl wash effectiveness for reducing background

    • Optimize number of washes (4-8) based on background levels

  • Control experiments:

    • Include input, IgG, and positive control ChIP (e.g., histone marks)

    • Perform ChIP in AT5G65820 knockout/knockdown plants

    • Consider DNA spike-ins for quantitative normalization

ChIP ParameterStandard ConditionOptimization RangeRecommended for AT5G65820
Crosslinking1% formaldehyde, 10 min0.5-3%, 5-20 min1.5%, 10 min
Sonication10 cycles, 30s on/30s off5-15 cycles, varying duty cycles12 cycles, 15s on/45s off
Antibody amount5 μg2-10 μg7 μg
Bead volume50 μl slurry25-100 μl60 μl
Washing stringency150 mM NaCl150-500 mM NaCl300 mM NaCl

This specialized ChIP approach incorporates principles similar to those used for studying transcription factors in other systems , adapted for the specific challenges of a plant PPR protein.

How should AT5G65820 antibodies be stored and handled to maintain long-term activity?

Proper storage and handling of AT5G65820 antibodies is critical for maintaining their activity:

  • Storage temperature considerations:

    • Store concentrated antibody stocks at -80°C in single-use aliquots

    • Keep working dilutions at 4°C with preservatives for short-term use (1-2 weeks)

    • Avoid repeated freeze-thaw cycles (no more than 5 cycles)

  • Preservative options:

    • Add sodium azide (0.02-0.05%) to prevent microbial growth

    • Consider adding stabilizing proteins (BSA, 1-5 mg/ml)

    • For long-term storage, evaluate glycerol addition (30-50%)

  • Buffer composition effects:

    • Maintain pH stability (typically pH 7.2-7.6)

    • Ensure adequate buffering capacity (10-50 mM phosphate or Tris)

    • Consider adding stabilizers like glycine or trehalose (1-5%)

  • Monitoring antibody quality:

    • Establish baseline activity with standard assays (Western blot, ELISA)

    • Periodically test activity against reference standards

    • Document performance over time to detect degradation

  • Reconstitution best practices:

    • Reconstitute lyophilized antibodies slowly at 4°C

    • Avoid vortexing; use gentle inversion or slow pipetting

    • Allow complete dissolution before aliquoting

These storage principles reflect best practices in antibody preservation similar to those used for maintaining activity of therapeutic antibodies , adapted for research-grade antibodies against plant proteins.

How can AT5G65820 antibodies be used to investigate protein-protein interactions within RNA-processing complexes?

AT5G65820 antibodies can be leveraged to study protein-protein interactions through several advanced approaches:

  • Proximity-dependent labeling:

    • Generate AT5G65820 fusion with BioID or TurboID for in vivo biotinylation

    • Use antibodies to verify expression and localization of the fusion protein

    • Compare interactome data with traditional co-IP using AT5G65820 antibodies

  • Sequential immunoprecipitation:

    • Perform first IP with AT5G65820 antibody

    • Elute under mild conditions

    • Conduct second IP with antibodies against suspected interaction partners

    • Validate true complexes versus contaminating proteins

  • In situ proximity ligation assay (PLA):

    • Combine AT5G65820 antibody with antibodies against candidate interactors

    • Visualize interactions as fluorescent spots representing <40 nm proximity

    • Quantify interaction dynamics under different conditions

  • Native complex isolation:

    • Use AT5G65820 antibodies for non-denaturing IPs

    • Analyze complex composition by mass spectrometry

    • Compare complexes under different stress conditions

  • Immunoprecipitation-RNA sequencing (IP-RNA-seq):

    • Isolate AT5G65820-associated RNAs using validated antibodies

    • Identify RNA targets and potential co-regulatory proteins

    • Map RNA processing events dependent on AT5G65820

These methodologies draw on principles similar to those used for studying multiprotein complexes in immunological research , adapted specifically for RNA-processing proteins in plant systems.

What are the considerations for developing antibodies against post-translationally modified forms of AT5G65820?

Developing antibodies against modified AT5G65820 requires specialized approaches:

  • Modification site identification:

    • Analyze mass spectrometry data for known modifications

    • Predict potential modification sites using bioinformatics tools

    • Consider evolutionary conservation of modification sites

  • Modified peptide design:

    • Include 10-15 amino acids flanking the modification site

    • Synthesize peptides with specific modifications (phosphorylation, acetylation, etc.)

    • Design control peptides lacking the modification

  • Immunization strategy optimization:

    • Select adjuvants compatible with modified peptides

    • Consider modified-peptide carrier conjugation chemistry

    • Implement extended immunization protocols for difficult epitopes

  • Screening methodology:

    • Develop paired ELISAs with modified and unmodified peptides

    • Implement competitive binding assays to assess specificity

    • Test against in vitro modified recombinant proteins

  • Validation approaches:

    • Compare recognition between wild-type and modified-site mutant proteins

    • Validate using mass spectrometry to confirm the modification

    • Demonstrate differential recognition under conditions affecting modification status

This approach draws on principles similar to those used for developing antibodies against post-translationally modified proteins in other systems , where modification-specific recognition is critical for experimental applications.

How can quantitative proteomics be combined with AT5G65820 antibodies for studying stress responses in plants?

Integrating AT5G65820 antibodies with quantitative proteomics offers powerful insights into plant stress responses:

  • Immunoprecipitation-mass spectrometry (IP-MS) approaches:

    • Perform AT5G65820 IP under various stress conditions

    • Implement SILAC, TMT, or label-free quantification

    • Identify stress-dependent changes in AT5G65820 protein complexes

  • Targeted proteomics strategies:

    • Develop SRM/MRM assays for AT5G65820 and key interactors

    • Use antibodies to validate quantitative changes observed in mass spectrometry

    • Implement absolute quantification using AQUA peptides

  • Spatial proteomics applications:

    • Combine subcellular fractionation with AT5G65820 antibody detection

    • Track stress-induced relocalization of AT5G65820

    • Correlate localization changes with functional outcomes

  • Degradation kinetics analysis:

    • Use antibodies to track AT5G65820 stability under stress

    • Implement cycloheximide chase experiments

    • Quantify degradation rates in different genetic backgrounds

  • Post-translational modification profiling:

    • Enrich AT5G65820 using antibodies before PTM analysis

    • Map stress-responsive modifications

    • Correlate modifications with functional outcomes

Stress ConditionExpected AT5G65820 ResponseRecommended Quantification ApproachKey Controls
Heat stressPotential phosphorylation changesTMT labeling with phospho-enrichmentHeat-shock protein positive controls
DroughtPossible complex reorganizationLabel-free quantificationRD29A/B expression verification
Salt stressSubcellular redistributionSILAC with fractionationSOS1 localization control
Cold stressStability/degradation changesCycloheximide chase with Western blotCOR15A induction verification

This integrated approach combines principles from antibody-based proteomics studies in other systems , adapted specifically for plant stress biology applications.

What are the future directions for AT5G65820 antibody development and applications?

Future developments in AT5G65820 antibody research will likely focus on several innovative areas:

  • Nanobody and single-domain antibody development: Creating smaller antibody formats with enhanced tissue penetration and reduced interference with protein function, similar to recent advances in therapeutic antibody engineering .

  • Conditional recognition systems: Developing antibodies that recognize AT5G65820 only under specific conditions (e.g., when bound to RNA or specific protein partners), enabling visualization of functionally distinct pools of the protein.

  • Intrabody applications: Engineering antibody fragments that function within living plant cells to track or modulate AT5G65820 activity in real-time, building on approaches used in mammalian cell research.

  • Antibody-based biosensors: Creating FRET-based or split-reporter systems that utilize AT5G65820 antibody fragments to monitor protein conformational changes or interactions in living plants.

  • Multiplex imaging approaches: Developing orthogonal labeling strategies to simultaneously visualize AT5G65820 alongside other RNA processing factors, enabling systems-level analysis of RNA metabolism in plant cells.

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