At1g17520 Antibody

Shipped with Ice Packs
In Stock

Description

Research Findings on Functional Roles

The HON4 protein modulates chromatin architecture to regulate gene expression:

  • Gene Looping Inhibition: HON4 binds to the 5′ and 3′ ends of gene bodies, destabilizing local gene loops (e.g., at FLC) that are essential for transcriptional activation .

  • Flowering Time Control: Mutants lacking HON4 exhibit delayed flowering due to elevated FLC mRNA levels. For example:

    • hon4 single mutants: 2.5-fold increase in FLC expression.

    • hon4hon5 double mutants: 4.8-fold increase .

Table 2: FLC Expression and Flowering Phenotypes in Mutants

GenotypeFLC mRNA Level (Fold Change)Days to Flowering (Long Days)
Wild Type1.022
hon42.528
hon4hon54.835

Mechanistic Insights from Genome-Wide Studies

  • Binding Specificity: Chromatin immunoprecipitation (ChIP) assays reveal that GH1-HMGA proteins preferentially bind gene termini, preventing 5′–3′ loop formation .

  • Transcriptional Impact: Loss of HON4 increases accessibility of FLC chromatin, enhancing RNA polymerase II recruitment and transcription elongation .

Applications in Plant Biology Research

The At1g17520 antibody is critical for:

  • Protein Localization: Detecting HON4 in shoot apical meristems and root tissues via immunohistochemistry .

  • Gene Expression Studies: Validating FLC repression in genetic complementation lines (e.g., hon45 mutants expressing gHON4-Myc) .

  • Chromatin Structure Analysis: Investigating GH1-HMGA’s role in 3D genome organization using chromosome conformation capture (3C) .

Technical Validation

  • Western Blot: The antibody detects HON4 at ~25 kDa in Arabidopsis extracts, with specificity confirmed via knockout mutants .

  • Functional Complementation: Transgenic lines expressing epitope-tagged HON4 restore wild-type flowering times and FLC expression levels .

Broader Implications

This antibody aids in understanding:

  • Epigenetic Regulation: How chromatin architecture influences developmental transitions.

  • Evolutionary Adaptations: Convergent evolution of GH1-HMGA proteins in angiosperms to control flowering .

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
At1g17520 antibody; F1L3.23 antibody; Telomere repeat-binding factor 4 antibody; MYB transcription factor antibody
Target Names
At1g17520
Uniprot No.

Target Background

Function
This antibody exhibits a preferential binding affinity for double-stranded telomeric repeats.
Database Links

KEGG: ath:AT1G17520

UniGene: At.41830

Protein Families
Histone H1/H5 family, SMH subfamily
Subcellular Location
Nucleus. Chromosome.

Q&A

What is the At1g17520 protein and why develop antibodies against it?

At1g17520 refers to a specific gene locus in Arabidopsis thaliana, likely encoding a protein of interest in plant developmental studies. Antibodies against this protein serve as valuable molecular tools for studying its expression patterns, subcellular localization, and potential roles in plant development. Similar to the approach described for generating antibodies against Arabidopsis inflorescence proteins, researchers can use At1g17520 antibodies to investigate specific cellular structures during floral development and other biological processes .

How do researchers validate the specificity of At1g17520 antibodies?

Validation of At1g17520 antibodies follows a multi-step approach similar to other research antibodies. Researchers typically perform western blot analysis using protein extracts from different tissues to confirm the antibody detects a single band of the expected molecular weight. This approach mirrors the validation method described in the literature where 24 of 61 generated monoclonal antibodies displayed a unique band in western blot assays from plant tissues . Additional validation steps include comparing signals between wild-type plants and At1g17520 knockout mutants, performing peptide competition assays, and conducting immunofluorescence microscopy to verify expected localization patterns.

What protein extraction methods yield optimal results for At1g17520 antibody applications?

The most effective protein extraction protocol for At1g17520 detection typically involves:

  • Grinding plant tissue to a fine powder in liquid nitrogen

  • Extracting proteins using a buffer containing:

    • 100 mM Tris-HCl (pH 7.5)

    • 300 mM NaCl

    • 2 mM EDTA

    • 10% Glycerol

    • 0.1% Triton X-100

    • Complete protease inhibitor cocktail

  • Centrifuging at 13,000 rpm for 10 minutes at 4°C

  • Collecting the supernatant for antibody applications

This extraction method has been successfully employed for Arabidopsis proteins as documented in research focusing on monoclonal antibody generation against plant proteins . The inclusion of protease inhibitors is particularly crucial for preventing degradation of the target protein during the extraction process.

How can At1g17520 antibodies be utilized in developmental expression studies?

For developmental expression analysis, researchers can implement a systematic tissue sampling approach combined with western blot analysis. Based on established methodologies, proteins should be extracted from tissues at different developmental stages and analyzed using the At1g17520 antibody. The resulting expression patterns can be classified into three categories as described in antibody characterization studies for Arabidopsis: tissue-specific (detected in only one tissue type), preferential (significantly higher in certain tissues), or broad expression (similar levels across multiple tissues) .

For more detailed spatial information, immunofluorescence microscopy on tissue sections provides valuable insights into cell-type specific expression patterns. This approach has successfully revealed distinct cellular distribution patterns of epitopes in flower sections, allowing researchers to identify proteins with expression in specific cell layers .

What immunoprecipitation protocols work best for identifying At1g17520 protein interaction partners?

Based on published methodologies for plant protein studies, the following immunoprecipitation protocol is recommended for identifying At1g17520 protein interactions:

  • Extract total proteins from 2-3g of appropriate tissue using the extraction buffer described in section 1.3

  • Pre-clear the lysate with Protein A/G beads for 1 hour at 4°C

  • Incubate the pre-cleared lysate with At1g17520 antibody (optimally 5-10 μg) overnight at 4°C

  • Add fresh Protein A/G beads and incubate for 3-4 hours at 4°C

  • Wash beads 4-5 times with wash buffer (extraction buffer with 0.1% Triton X-100)

  • Elute bound proteins with SDS sample buffer

  • Analyze by SDS-PAGE followed by mass spectrometry

This approach has successfully identified target antigens for plant antibodies in previous studies, where researchers employed immunoprecipitation followed by mass spectrometry analysis to discover the target antigens of antibodies generated against Arabidopsis inflorescence proteins .

How should researchers interpret contradictory immunolocalization data for At1g17520?

When faced with contradictory immunolocalization results for At1g17520, researchers should systematically evaluate several factors:

  • Antibody specificity: Confirm antibody specificity by western blot analysis against wild-type and knockout/knockdown lines

  • Fixation methods: Different fixation protocols can affect epitope accessibility

  • Developmental timing: The protein may localize to different cellular compartments during different developmental stages

  • Post-translational modifications: These may affect antibody recognition and protein localization

  • Experimental conditions: Environmental factors may influence protein expression or localization

To resolve contradictions, researchers should perform parallel experiments using different antibodies targeting the same protein (if available) or complement antibody studies with fluorescent protein fusion localization studies. This systematic approach helps distinguish between technical artifacts and genuine biological complexity.

What is the optimal protocol for generating monoclonal antibodies against At1g17520?

The following protocol has proven effective for generating monoclonal antibodies against Arabidopsis proteins and can be adapted for At1g17520:

StepProcedureDetails
1Antigen preparationCollect appropriate tissue (e.g., inflorescences stages 1-12); extract total proteins
2ImmunizationImmunize BALB/c mice with 150 ng antigen emulsified with Complete Freund's adjuvant
3Booster immunizationsAdminister 150 ng boosters on days 14 and 28
4Cell fusionIsolate mouse spleen cells (1.0 × 10^7/mL) and fuse with mouse P3X63Ag8.653 cell line (2.0 × 10^7/mL) using polyethylene glycol
5ScreeningScreen hybridoma cells by western blot assay
6SelectionSelect positive clones for antibody production
7ValidationValidate using western blot, immunofluorescence, and immunoprecipitation

This methodology follows established protocols for generating monoclonal antibodies against plant proteins as documented in research on Arabidopsis antibody development . The approach has successfully yielded antibodies that function effectively in multiple applications.

What are the critical parameters for immunofluorescence detection of At1g17520 in plant tissues?

For optimal immunofluorescence detection of At1g17520, researchers should carefully control the following parameters:

  • Tissue fixation: Use freshly prepared 4% paraformaldehyde in PBS for 16-24 hours at 4°C

  • Tissue embedding: Dehydrate samples through an ethanol series before embedding in paraffin

  • Section thickness: Prepare 8-10 μm sections for optimal balance between structural integrity and antibody penetration

  • Antigen retrieval: Perform heat-induced epitope retrieval in citrate buffer (pH 6.0) if necessary

  • Blocking: Block with 5% BSA or normal serum in PBS for 1-2 hours at room temperature

  • Primary antibody: Dilute appropriately (typically 1:100 to 1:500) and incubate overnight at 4°C

  • Secondary antibody: Use fluorophore-conjugated secondary antibodies at 1:200 to 1:1000 dilution

  • Counterstaining: Include DAPI (1 μg/mL) for nuclear visualization

  • Controls: Always include no-primary antibody controls and, if possible, tissues from knockout mutants

This methodology has been successfully employed for immunofluorescence microscopy on Arabidopsis inflorescence paraffin sections, revealing protein signals specifically localized in different tissues and cell layers .

How can researchers distinguish between specific and non-specific signals in western blots using At1g17520 antibodies?

To distinguish between specific and non-specific signals when using At1g17520 antibodies in western blot experiments, researchers should implement the following comprehensive approach:

Control TypeImplementationExpected Outcome
Knockout/knockdown linesCompare wild-type vs. At1g17520 mutant samplesTarget band should be absent/reduced in mutant
Tissue specificityTest multiple tissue typesExpression pattern should match transcriptomic data
Peptide competitionPre-incubate antibody with immunizing peptideSpecific bands should disappear
Molecular weightUse molecular weight markersBand should appear at expected size
Loading controlProbe for housekeeping proteinEnsures equal loading across samples
Secondary-onlyOmit primary antibodyReveals non-specific binding of secondary antibody

Additionally, researchers should optimize blocking conditions and antibody dilutions to minimize background. This systematic approach mirrors the validation strategy described for antibodies generated against Arabidopsis proteins, where researchers categorized antibodies based on their specificity patterns in different tissues .

What strategies can resolve weak or inconsistent western blot signals when using At1g17520 antibodies?

When encountering weak or inconsistent western blot signals with At1g17520 antibodies, researchers should systematically troubleshoot using the following approaches:

  • Protein extraction optimization:

    • Test different extraction buffers

    • Ensure complete tissue disruption using liquid nitrogen grinding

    • Add additional protease inhibitors

    • Avoid freeze-thaw cycles of protein samples

  • Blotting procedure refinement:

    • Increase protein loading (up to 50 μg per lane)

    • Optimize transfer conditions (time, voltage, buffer composition)

    • Use PVDF membranes instead of nitrocellulose for potentially higher protein retention

    • Verify transfer efficiency with reversible protein stains

  • Detection enhancement:

    • Decrease antibody dilution (use more concentrated antibody)

    • Extend primary antibody incubation (overnight at 4°C)

    • Try different blocking agents (BSA vs. milk)

    • Implement signal enhancement systems (amplified chemiluminescence)

These optimization strategies are consistent with approaches used in developing and troubleshooting antibodies against Arabidopsis proteins, where researchers successfully identified antibodies that displayed clear bands in western blot assays .

How can researchers optimize immunoprecipitation protocols when studying At1g17520 protein complexes?

For optimizing immunoprecipitation of At1g17520 protein complexes, researchers should consider these critical parameters:

  • Buffer composition adjustments:

    • Test different detergent concentrations (0.1-1% Triton X-100 or NP-40)

    • Vary salt concentrations (150-500 mM NaCl) to balance between maintaining interactions and reducing non-specific binding

    • Add stabilizing agents (5-10% glycerol)

  • Incubation condition optimization:

    • Compare different antibody amounts (2-10 μg per mg of total protein)

    • Test various incubation times (2 hours vs. overnight)

    • Compare incubation temperatures (4°C vs. room temperature)

  • Cross-linking considerations:

    • For transient interactions, implement formaldehyde cross-linking (0.1-1%)

    • Optimize cross-linking time (5-20 minutes)

    • Ensure complete quenching with glycine

  • Bead selection:

    • Compare magnetic vs. agarose beads

    • Test different bead volumes (20-50 μL packed volume)

    • Evaluate pre-clearing effectiveness with control beads

This systematic optimization approach follows methodologies that have successfully identified target antigens for antibodies generated against Arabidopsis proteins through immunoprecipitation followed by mass spectrometry analysis .

What approaches can resolve non-specific binding issues in immunofluorescence microscopy with At1g17520 antibodies?

To resolve non-specific binding issues in immunofluorescence experiments using At1g17520 antibodies, researchers should implement these progressive troubleshooting steps:

  • Blocking optimization:

    • Extend blocking time (2-3 hours at room temperature)

    • Test different blocking agents (5% BSA, 5-10% normal serum, commercial blocking reagents)

    • Add 0.1-0.3% Triton X-100 to improve antibody penetration and reduce non-specific binding

  • Antibody dilution refinement:

    • Prepare multiple primary antibody dilutions (1:100, 1:200, 1:500, 1:1000)

    • Optimize secondary antibody dilutions (typically 1:200-1:1000)

    • Extend washing steps (5-6 washes, 10 minutes each)

  • Sample preparation improvements:

    • Optimize fixation time (4-24 hours)

    • Test different fixatives (4% paraformaldehyde vs. ethanol-acetic acid)

    • Implement antigen retrieval methods if needed

  • Advanced solutions:

    • Pre-absorb antibody with acetone powder from knockout tissue

    • Use highly cross-adsorbed secondary antibodies

    • Consider tyramide signal amplification for specific signal enhancement

This troubleshooting approach is consistent with methods used in the development and optimization of antibodies for immunofluorescence microscopy in Arabidopsis tissue sections, where researchers successfully detected distinct cellular distribution patterns while minimizing background .

How can At1g17520 antibodies be integrated into multiplexed immunofluorescence imaging approaches?

To incorporate At1g17520 antibodies into multiplexed immunofluorescence imaging, researchers should implement the following strategies:

  • Primary antibody combination planning:

    • Select antibodies raised in different host species (e.g., rabbit anti-At1g17520 with mouse anti-cellular marker)

    • Confirm compatible fixation requirements for all antibodies

    • Validate each antibody individually before combining

  • Detection system optimization:

    • Use secondary antibodies with spectrally distinct fluorophores

    • Implement sequential detection for antibodies from the same species

    • Consider tyramide signal amplification for weakly expressed proteins

  • Advanced microscopy applications:

    • Employ spectral unmixing for closely overlapping fluorophores

    • Utilize confocal microscopy for improved spatial resolution

    • Consider super-resolution techniques for detailed co-localization studies

These multiplexed approaches build upon established methods for immunofluorescence microscopy in plant tissues, where researchers have successfully detected distinct cellular distribution patterns of epitopes in flower sections using specific antibodies . Multiplexed imaging provides valuable insights into protein co-localization and functional relationships that single-antibody approaches cannot reveal.

What considerations are important when adapting At1g17520 antibodies for chromatin immunoprecipitation (ChIP) studies?

For adapting At1g17520 antibodies to ChIP applications, researchers should address these critical considerations:

  • Antibody suitability assessment:

    • Verify nuclear localization of At1g17520 by immunofluorescence

    • Confirm antibody recognizes native (non-denatured) protein by immunoprecipitation

    • Test antibody specificity in formaldehyde-fixed samples

  • ChIP protocol optimization:

    • Adjust crosslinking conditions (0.5-1% formaldehyde, 5-15 minutes)

    • Optimize sonication to achieve 200-500 bp fragments

    • Determine optimal antibody amount (2-10 μg per ChIP reaction)

    • Compare different chromatin amounts (10-50 μg)

  • Control implementation:

    • Include input DNA control

    • Perform IgG control ChIP

    • Consider knockout/knockdown lines as negative controls

This methodological framework builds upon established antibody applications, extending the utility of validated antibodies to chromatin studies, similar to the multifunctional applications demonstrated for antibodies generated against Arabidopsis proteins .

Quick Inquiry

Personal Email Detected
Please use an institutional or corporate email address for inquiries. Personal email accounts ( such as Gmail, Yahoo, and Outlook) are not accepted. *
© Copyright 2025 TheBiotek. All Rights Reserved.