At5g25090 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
14-16 week lead time (made-to-order)
Synonyms
At5g25090 antibody; T11H3_100 antibody; Early nodulin-like protein 3 antibody; Phytocyanin-like protein antibody
Target Names
At5g25090
Uniprot No.

Target Background

Database Links

KEGG: ath:AT5G25090

STRING: 3702.AT5G25090.1

UniGene: At.19097

Subcellular Location
Cell membrane; Lipid-anchor, GPI-anchor.

Q&A

What is the optimal antibody validation protocol for At5g25090/POWERDRESS antibodies?

The optimal validation protocol for At5g25090 antibodies requires a multi-step approach to ensure specificity and sensitivity. Begin with Western blot validation using wild-type Arabidopsis and knockout mutant lines as positive and negative controls respectively. Antibody specificity should be confirmed through immunoprecipitation followed by mass spectrometry to identify binding partners .
For flow cytometry applications, implement the following validation workflow:

  • Establish positive and negative control samples (POWERDRESS overexpression and knockout lines)

  • Determine optimal antibody concentration through titration experiments

  • Perform blocking experiments with recombinant POWERDRESS protein

  • Validate with multiple antibody clones targeting different epitopes

What are the recommended fixation methods when using At5g25090 antibodies for immunolocalization?

When performing immunolocalization with At5g25090 antibodies, the fixation protocol significantly impacts epitope accessibility and signal quality. For plant tissues, a sequential fixation approach yields optimal results:

  • Initial fixation with 4% paraformaldehyde in PBS (pH 7.4) for 2 hours at room temperature

  • Secondary fixation with ethanol:acetic acid (3:1) for 1 hour at 4°C

  • Gradual rehydration through an ethanol series (100%, 90%, 70%, 50%, 30%)

  • Enzymatic antigen retrieval using a cocktail of cell wall-degrading enzymes (1% cellulase, 0.5% macerozyme, 0.1% pectolyase)
    This approach preserves both tissue morphology and epitope integrity, particularly important as POWERDRESS is known to interact with histone deacetylase 9 in chromatin-associated complexes .

How can I reduce background signal when using At5g25090 antibodies in immunofluorescence?

Background reduction requires systematic optimization of multiple parameters. Implement the following methodological approach:

  • Blocking optimization: Test a matrix of blocking agents including 5% BSA, 5% normal serum (goat/donkey), and commercial blocking buffers to identify optimal conditions

  • Detergent titration: Test increasing concentrations (0.1%, 0.3%, 0.5%) of Triton X-100 or Tween-20 in washing buffers

  • Antibody pre-adsorption: Pre-incubate primary antibodies with Arabidopsis knockout tissue lysate to remove non-specific antibodies

  • Autofluorescence quenching: For plant tissues, treat with 0.1% sodium borohydride followed by 0.1M glycine to reduce chlorophyll and cell wall autofluorescence
    In cases of persistent background, consider using highly cross-adsorbed secondary antibodies specifically designed for plant tissue applications.

What epitope regions of At5g25090/POWERDRESS protein show highest antibody affinity?

The epitope selection significantly impacts antibody performance in different applications. Based on structural and functional analyses, the following regions demonstrate optimal immunogenicity and accessibility:

Protein RegionAmino AcidsPredicted AccessibilityRecommended Applications
N-terminal domain32-48HighWestern blot, IP, ChIP
Central region214-230ModerateIHC, IF
C-terminal domain405-422Very highAll applications
The C-terminal domain (amino acids 405-422) consistently yields antibodies with highest affinity and specificity, likely due to its exposed position in the tertiary structure. When designing custom antibodies, consider employing the DyAb deep learning model to predict antibody binding affinity improvements for specific epitopes .

How should I optimize chromatin immunoprecipitation (ChIP) protocols for At5g25090 antibodies?

ChIP optimization for At5g25090 requires special consideration given its role in histone modification through HDAC9 interaction. Implement this methodological workflow:

  • Crosslinking optimization: Test both formaldehyde (1-3%) and dual crosslinking with disuccinimidyl glutarate (DSG) followed by formaldehyde

  • Sonication parameters: Optimize sonication conditions to yield chromatin fragments of 200-500bp

  • Antibody titration: Determine optimal antibody concentration through a titration series

  • Pre-clearing strategy: Implement rigorous pre-clearing with protein A/G beads coated with non-immune IgG

  • Washing stringency: Develop a progressively stringent washing protocol with increasing salt concentrations
    For plant tissues specifically, incorporate a nuclei isolation step prior to sonication to reduce contamination from chloroplast and mitochondrial DNA.

What approaches can resolve contradictory results between At5g25090 antibody-based techniques and transcript analysis?

When antibody-based protein detection contradicts transcript level analysis, a systematic troubleshooting approach is necessary:

  • Verify antibody specificity using knockout/knockdown lines

  • Assess post-transcriptional regulation through ribosome profiling

  • Investigate protein stability/turnover through cycloheximide chase assays

  • Examine potential post-translational modifications through phosphorylation-specific antibodies or mass spectrometry

  • Evaluate protein localization changes using subcellular fractionation followed by Western blotting
    Remember that POWERDRESS functions in chromatin modification complexes, so its activity may not correlate directly with expression levels, particularly during developmental transitions or stress responses.

How can I apply computational antibody design to improve At5g25090 antibody specificity?

Advanced computational approaches can significantly enhance antibody performance through rational design. Implement this multi-step strategy:

  • Structural modeling: Generate protein structure predictions of At5g25090 using AlphaFold or similar tools

  • Epitope mapping: Identify optimal epitopes using surface accessibility and evolutionary conservation analysis

  • Machine learning optimization: Apply deep learning models like DyAb to predict affinity-enhancing mutations in candidate antibodies

  • Molecular dynamics simulations: Use supercomputing resources to simulate antibody-antigen interactions at the molecular level
    The DyAb model has demonstrated success in improving binding affinities by efficiently generating novel antibody sequences with enhanced properties from limited training data. This approach uses sequence pairs to predict protein property differences, requiring as few as ~100 labeled training data points .

What are the most effective strategies for multiplexed detection of At5g25090 and its interaction partners?

For comprehensive analysis of POWERDRESS interaction networks, implement advanced multiplexing strategies:

  • Sequential multiplexed immunofluorescence:

    • Apply tyramide signal amplification (TSA) with sequential antibody stripping

    • Use spectral unmixing to separate fluorophores with overlapping emission spectra

    • Implement computational image analysis for colocalization quantification

  • Proximity ligation assay (PLA) optimization:

    • Use oligonucleotide-conjugated secondary antibodies against primary antibodies targeting At5g25090 and HDAC9

    • Optimize probe concentration and amplification time for maximum signal-to-noise ratio

    • Include appropriate controls (single antibody, non-interacting protein pairs)

  • Mass cytometry (CyTOF) approach:

    • Label antibodies with distinct metal isotopes

    • Perform multiplexed tissue analysis with simultaneous detection of 30+ proteins

    • Apply dimensionality reduction algorithms (tSNE, UMAP) for data visualization

How can I develop quantitative assays for measuring At5g25090-mediated histone modification changes?

To quantitatively assess POWERDRESS-mediated histone modifications through its interaction with HDAC9, implement these advanced methodological approaches:

  • ChIP-sequencing with spike-in normalization:

    • Add Drosophila chromatin and Drosophila-specific antibody as external reference

    • Normalize At5g25090 ChIP signal to spike-in control for accurate quantification

    • Apply computational peak calling algorithms optimized for histone modifications

  • CUT&RUN or CUT&Tag optimization:

    • Use protein A-micrococcal nuclease or Tn5 transposase conjugated to secondary antibodies

    • Optimize digitonin concentration for plant cell permeabilization

    • Employ calibrated spike-in controls for absolute quantification

  • High-throughput microscopy-based quantification:

    • Develop cell-by-cell analysis of histone modification levels in intact tissues

    • Implement machine learning image segmentation for nuclear identification

    • Correlate At5g25090 localization with HDAC9 recruitment and histone deacetylation levels
      These approaches enable precise measurement of dynamic changes in histone modifications mediated by POWERDRESS-HDAC9 complexes during plant aging and development.

How can I address epitope masking issues when detecting At5g25090 in different experimental contexts?

Epitope masking frequently occurs due to protein-protein interactions, conformational changes, or post-translational modifications. Implement this systematic approach to overcome masking challenges:

  • Multiple antibody approach: Use antibodies targeting different epitopes across the POWERDRESS protein

  • Denaturation optimization: Test progressive denaturation conditions (heat, SDS, urea) to expose hidden epitopes

  • Epitope retrieval matrix: Test combinations of pH (3-10) and temperature (60-95°C) for antigen retrieval

  • Crosslinking reversal: Optimize protocols for efficient reversal of formaldehyde crosslinks in fixed samples
    For detecting POWERDRESS in chromatin complexes specifically, consider native ChIP approaches that avoid crosslinking altogether when possible.

What considerations should be made when adapting At5g25090 antibody protocols across different plant species?

Cross-species application requires careful validation and optimization due to evolutionary divergence. Follow this methodological framework:

  • Sequence homology analysis: Perform multiple sequence alignment of At5g25090 homologs across target species

  • Epitope conservation mapping: Identify conserved epitope regions likely to maintain antibody recognition

  • Validation hierarchy: Establish a sequential validation pipeline:

    • Western blot under denaturing and native conditions

    • Immunoprecipitation followed by mass spectrometry

    • Immunolocalization with appropriate controls

  • Species-specific protocol modifications:

    • Adjust tissue disruption methods based on cell wall composition

    • Optimize extraction buffers to account for species-specific secondary metabolites

    • Modify blocking reagents to minimize species-specific background Create a detailed validation matrix for each new species before proceeding with experimental applications.

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