No studies in the provided literature discuss antibodies targeting plant-specific antigens.
AT1 receptor antibodies (e.g., angiotensin II type 1 receptor) are mentioned in preeclampsia research , but these are unrelated to "At1g61330."
Several studies highlight issues with antibody specificity, particularly for receptors like AT1 . For example:
Structural databases: The Patent and Literature Antibody Database (PLAbDab) and Structural Antibody Database contain >10,000 entries but lack "At1g61330" references.
Functional studies: Engineered antibodies (e.g., pH-dependent antigen-sweeping variants) and broadly neutralizing influenza antibodies dominate recent research, with no overlap with plant antigens.
To explore "At1g61330 Antibody," consider:
Antibody validation is critical in plant molecular biology research as demonstrated by studies showing that commercially available antibodies often lack specificity. To properly validate an At1g61330/HDA9 antibody, you should:
Perform western blots comparing wild-type plants with hda9 knockout mutants
Conduct immunoprecipitation followed by mass spectrometry (IP-MS) to confirm target identification
Use epitope-tagged HDA9 constructs (such as HDA9-FLAG or HDA9-HA) in transgenic plants to compare immunoreactivity patterns
Test antibody reactivity across multiple tissues with known expression patterns of HDA9
Studies have shown that even antibodies detecting bands of the expected molecular weight (approximately 43 kDa for many membrane receptors) can be non-specific, as identical bands may appear in both wild-type and knockout tissues . For proper validation, transgenic plants expressing tagged versions of HDA9 (such as HDA9-FLAG) under the control of its native promoter can serve as positive controls, while hda9 mutants should be used as negative controls .
When interpreting experimental results using At1g61330/HDA9 antibodies, researchers should be aware of several potential pitfalls:
False positive signals: Antibodies may recognize proteins of similar molecular weight regardless of target protein expression
Variable immunostaining patterns: Different antibodies targeting the same protein can produce distinctly different staining patterns
Background signals: Non-specific binding may occur to cellular structures like membranes, cytoskeleton, or nuclei
Batch-to-batch variation: Commercial antibodies may vary between production lots
Research has demonstrated that antibodies may detect bands at the expected size (e.g., 43 kDa for certain receptors) in both wild-type and knockout tissues, indicating recognition of proteins other than the intended target . Additionally, antibodies may produce different immunostaining patterns depending on the epitope recognized, with some antibodies predominantly staining membranes, others the perinuclear area, and yet others preferentially staining nuclei .
For studying protein interactions involving At1g61330/HDA9, the following methods have proven most reliable:
Immunoaffinity purification followed by mass spectrometry (IP-MS)
Co-immunoprecipitation (Co-IP) with tagged proteins
In vitro pull-down assays with recombinant proteins
Chromatin immunoprecipitation (ChIP) to identify genomic binding sites
Research utilizing IP-MS has successfully identified interaction partners of HDA9, including POWERDRESS (PWR) and the transcription factor WRKY53 . These interactions were further validated through complementary approaches: Co-IP experiments in Arabidopsis plants expressing both HA-tagged HDA9 and FLAG-tagged PWR confirmed their association, while GST pull-down assays with recombinant WRKY53 and HDA9-FLAG purified from transgenic plants verified direct interaction .
| Method | Strengths | Limitations | Validation Approach |
|---|---|---|---|
| IP-MS | Identifies multiple interactors simultaneously | May include non-specific binders | Reciprocal IP with different tags |
| Co-IP | Confirms interactions in vivo | Requires high-quality antibodies | Use in F1 plants with differently tagged proteins |
| GST Pull-down | Tests direct interactions | In vitro conditions may not reflect in vivo | Include appropriate controls (GST alone) |
| ChIP | Identifies genomic binding sites | Requires highly specific antibodies | Compare wild-type and knockout plants |
When designing chromatin immunoprecipitation (ChIP) experiments with At1g61330/HDA9 antibodies:
Generate plants expressing epitope-tagged HDA9 (e.g., HDA9-FLAG) driven by its native promoter
Validate functionality by complementation of hda9 mutant phenotypes
Include appropriate controls (wild-type plants without tagged proteins)
Verify enrichment at target loci by ChIP-qPCR before proceeding to ChIP-seq
Analyze binding patterns in relation to gene expression and chromatin states
Research has shown that HDA9 is preferentially enriched in the promoters of active genes rather than silent genes, and co-localizes with DNase I hypersensitive sites associated with accessible chromatin . ChIP-seq analysis revealed that approximately 69% of HDA9 binding peaks were located in promoter regions, with HDA9-bound genes showing significantly higher expression than the average of all genes . These findings highlight the importance of correlating binding data with gene expression and chromatin accessibility information.
Inconsistent results with At1g61330/HDA9 antibodies can stem from several factors:
Antibody specificity issues: As demonstrated with AT1 receptor antibodies, commercially available antibodies may detect proteins regardless of target expression
Varied expression levels across tissues: HDA9 expression may differ between tissue types and developmental stages
Technical variations in sample preparation: Protein extraction methods can affect antibody recognition
Epitope masking due to protein interactions or post-translational modifications
Antibody degradation or batch variation
Studies have shown that antibody immunoreactivity patterns can be independent of target protein expression and different for each antibody tested . The intensity of bands detected in western blots may not correlate with expected expression levels across tissues, indicating potential specificity issues .
If At1g61330/HDA9 antibodies show specificity issues, consider these alternative approaches:
Generate transgenic plants expressing epitope-tagged HDA9 (e.g., HDA9-FLAG, HDA9-GFP)
Use commercial anti-tag antibodies (anti-FLAG, anti-GFP) which typically have higher specificity
Employ genetic approaches with reporter genes fused to the HDA9 promoter
Utilize competitive radioligand binding for certain receptor studies
Implement CRISPR/Cas9-mediated endogenous tagging
Research has shown that competitive radioligand binding remains a reliable approach to study receptor physiology when antibodies lack specificity . For HDA9 studies, transgenic plants expressing HDA9-FLAG under its native promoter have successfully been used for protein localization and interaction studies .
To investigate tissue-specific functions of At1g61330/HDA9:
Generate tissue-specific promoter-driven HDA9-tag constructs
Perform immunohistochemistry with validated antibodies or anti-tag antibodies
Combine with laser capture microdissection for tissue-specific ChIP analysis
Correlate HDA9 binding with tissue-specific transcriptome and epigenome data
Compare binding patterns with known interaction partners (e.g., PWR, WRKY53)
Research has shown that HDA9 interacts with the transcription factor WRKY53, which plays key roles in leaf senescence . HDA9 binding peaks are significantly enriched for WRKY binding motifs, suggesting a functional relationship between these proteins in regulating gene expression during senescence . By comparing HDA9 binding across different tissues, researchers can gain insights into tissue-specific regulatory mechanisms.
To establish direct regulation of target genes by At1g61330/HDA9:
Perform ChIP-seq to identify genome-wide binding sites
Conduct RNA-seq in wild-type and hda9 mutant backgrounds
Integrate binding data with expression changes
Examine histone modification changes (especially H3K9ac and H3K27ac) at target loci
Validate with reporter gene assays for specific promoters
Research has shown that HDA9 is critical for deacetylation of H3K9 and H3K27 in vivo, with increased H3K9ac and H3K27ac levels observed in hda9 mutants . ChIP-qPCR experiments demonstrated that H3K27ac levels were significantly increased in both hda9 and pwr mutants at specific target genes like WRKY57, APG9, and NPX1 . Furthermore, genes bound by HDA9 showed a significantly higher increase in H3K27ac in pwr mutants relative to non-HDA9 bound genes, supporting direct regulation .
To discover novel HDA9 interaction partners:
Perform immunoaffinity purification followed by mass spectrometry (IP-MS)
Conduct yeast two-hybrid screens
Implement proximity-dependent biotin identification (BioID)
Use split-fluorescent protein complementation assays in planta
Employ protein microarrays with recombinant HDA9
IP-MS analysis has successfully identified interaction partners of HDA9, including PWR (POWERDRESS) and the WRKY53 transcription factor . The HDA9-PWR interaction was validated through reciprocal IP-MS and co-immunoprecipitation experiments in F1 Arabidopsis plants expressing both HA-tagged HDA9 and FLAG-tagged PWR . This approach can be expanded to identify additional partners under different conditions or developmental stages.
To establish the functional significance of HDA9 protein complexes:
Compare phenotypes of single and double mutants (e.g., hda9, pwr, and hda9 pwr)
Analyze genome-wide binding profiles of complex components
Examine histone modification changes in each mutant background
Perform domain deletion and point mutation studies to disrupt specific interactions
Conduct in vitro reconstitution of enzymatic activities
Research has shown that PWR and HDA9 are enriched at the same genomic loci, and HDA9 binding to these loci requires PWR in vivo . This suggests that PWR plays a role in targeting HDA9 to chromatin, similar to the SMRT/N-CoR complex targeting HDAC3 in mammals . Further studies examining histone modifications in mutant backgrounds can help determine how these complexes function in gene regulation.