No direct matches: Search results include antibodies targeting human proteins (e.g., AT1R, RhoA, β-Actin) and viral antigens (e.g., influenza NA), but none for Arabidopsis-specific targets .
Potential misidentification: The term may be confused with similar identifiers, such as AT1R (angiotensin II receptor) antibodies, which are well-documented .
While "At1g64540 Antibody" is not covered, the following examples illustrate antibody structures, functions, and experimental applications from the provided materials:
The absence of "At1g64540 Antibody" in the provided sources may stem from:
Niche specificity: Antibodies targeting Arabidopsis proteins are less commonly studied in human or viral contexts.
Terminology discrepancies: The term may use non-standard nomenclature or refer to a proprietary/unpublished antibody.
Search scope: The provided materials focus on human immunology, virology, and transplant biology, excluding plant biology.
To address gaps, consider:
Database cross-checking: Query specialized plant biology databases (e.g., TAIR, Arabidopsis.org).
Literature mining: Use keywords like "At1g64540 protein antibody" in PubMed or Google Scholar.
Supplier catalogs: Consult antibody vendors (e.g., Sigma-Aldrich, Cell Signaling) for niche products.
AT1G64540 is a gene in Arabidopsis thaliana that encodes a protein involved in plant development and stress responses. Based on genomic analysis, this gene has been identified as a target for artificial microRNA (amiRNA) studies, indicating its potential significance in plant regulatory networks . The gene is part of the transcriptional landscape that shapes Arabidopsis thaliana's pattern-triggered immunity, which is activated upon recognition of molecular patterns of different biological origins .
AT1G64540 expression varies across different tissues and developmental stages. Transcriptome analysis reveals that expression patterns can be tissue-specific and developmentally regulated. Studies using autopolyploid Arabidopsis thaliana have shown that gene expression alterations, including those potentially affecting AT1G64540, depend on ecotype (genome composition) and are developmentally specific . This suggests that experimental design for antibody-based detection of AT1G64540 protein must account for these variables.
Several genomic resources exist for AT1G64540 research:
amiRNA clones: The Arabidopsis Biological Resource Center (ABRC) provides amiRNA individual clones in pAmiR vector targeting AT1G64540 (stock number CSHL_023355) .
Gateway Technology: These clones utilize Gateway Technology, which is available under the Gateway Open Architecture Policy for scientific research without restrictive licensing requirements .
Transformation systems: The pSoup (stock number CD3-1124) helper plasmid is required for efficient transformation of plants with AT1G64540-targeting constructs .
Developing highly specific antibodies against plant proteins requires multiple strategic approaches:
Epitope selection optimization: Select unique peptide sequences that:
Have low homology with other Arabidopsis proteins
Are predicted to be surface-exposed in the native protein
Avoid regions with post-translational modifications that could mask epitopes
Multi-epitope approach: Developing antibodies against 2-3 distinct regions of AT1G64540 increases confidence in detection specificity, similar to approaches used with G-protein-coupled receptors in other research contexts .
Expression system considerations: For recombinant AT1G64540 protein production, plant-based expression systems may preserve native folding and post-translational modifications better than bacterial systems, improving antibody recognition of the native protein.
Rigorous validation is essential to ensure antibody specificity. A comprehensive validation protocol includes:
Knockout/knockdown controls: Testing antibodies on tissues from AT1G64540 knockout plants or those treated with amiRNA targeting AT1G64540 (available through ABRC) .
Western blot analysis: Comparing signal between wild-type and mutant/RNAi samples, with expected size confirmation. Gradient gels (10-15%) provide better resolution for detailed analysis.
Immunoprecipitation followed by mass spectrometry: This identifies all proteins captured by the antibody, confirming AT1G64540 enrichment and detecting potential cross-reactivity.
Competition assays: Pre-incubating antibodies with purified AT1G64540 peptide/protein should abolish specific signals in immunodetection methods.
Similar validation approaches have been successfully employed with other antibodies, such as those against angiotensin II receptor type 1 (AT1R) and endothelin-1 type A receptor (ETAR) .
The following optimized protocol is recommended for AT1G64540 Western blotting:
Sample preparation:
Extract total protein from plant tissues using buffer containing 50 mM Tris-HCl pH 7.5, 150 mM NaCl, 1% Triton X-100, 0.5% sodium deoxycholate, and protease inhibitor cocktail.
Sonicate briefly (3 × 10s) to improve extraction.
Centrifuge at 14,000 × g for 15 minutes at 4°C.
Quantify protein concentration using Bradford assay.
Western blotting parameters:
Load 20-50 μg of total protein per lane.
Use 10-12% SDS-PAGE for optimal separation.
Transfer to PVDF membrane (0.45 μm) at 100V for 60 minutes.
Block with 5% non-fat milk in TBST for 1 hour at room temperature.
Incubate with primary AT1G64540 antibody (1:1000 dilution) overnight at 4°C.
Wash 3 × 10 minutes with TBST.
Incubate with HRP-conjugated secondary antibody (1:5000) for 1 hour at room temperature.
Develop using enhanced chemiluminescence.
This protocol incorporates principles from antibody-based detection methodologies that have been successfully used in other research contexts .
Optimized immunoprecipitation of AT1G64540 requires careful consideration of extraction conditions:
Extraction buffer optimization:
| Buffer Component | Concentration | Rationale |
|---|---|---|
| Tris-HCl (pH 7.5) | 50 mM | Maintains neutral pH |
| NaCl | 100-150 mM | Reduces non-specific interactions |
| Glycerol | 10% | Stabilizes protein during extraction |
| Triton X-100 | 0.5-1% | Solubilizes membrane components |
| EDTA | 1 mM | Inhibits metalloproteases |
| DTT | 1 mM | Prevents oxidation of cysteine residues |
| Protease inhibitors | 1× | Prevents protein degradation |
Immunoprecipitation protocol:
Prepare 500 μg total protein extract in 500 μl IP buffer.
Pre-clear with 50 μl Protein A/G beads for 1 hour at 4°C.
Incubate pre-cleared lysate with 5 μg AT1G64540 antibody overnight at 4°C with gentle rotation.
Add 50 μl fresh Protein A/G beads and incubate for 3 hours at 4°C.
Wash beads 5 times with IP buffer.
Elute proteins by boiling in 50 μl 2× SDS sample buffer.
This protocol incorporates principles from immunoprecipitation techniques used for other proteins in research contexts .
Several complementary approaches can be employed to study AT1G64540 protein-protein interactions:
Co-immunoprecipitation with AT1G64540 antibody:
Perform immunoprecipitation as described above
Analyze co-precipitated proteins by mass spectrometry
Validate interactions with Western blotting using antibodies against suspected interacting partners
Proximity-based labeling:
Generate transgenic Arabidopsis expressing AT1G64540 fused to BioID or TurboID
Biotin-labeled proximal proteins can be purified and identified by mass spectrometry
This approach has advantages for capturing transient or weak interactions
Split-fluorescent protein complementation:
Express AT1G64540 fused to one half of a split fluorescent protein
Express candidate interacting proteins fused to the complementary half
Reconstitution of fluorescence indicates interaction
This method allows visualization of interactions in living plant cells
Yeast two-hybrid screening:
Use AT1G64540 as bait to screen Arabidopsis cDNA libraries
Validate positive interactions using the above in planta methods
These approaches are similar to those used in studying protein-protein interactions in other research contexts, such as those employed in CAR T cell engineering studies .
Optimizing ChIP-seq for AT1G64540 requires careful consideration of several parameters:
Chromatin preparation:
Crosslink Arabidopsis tissue with 1% formaldehyde for 10 minutes under vacuum.
Quench with 0.125 M glycine for 5 minutes.
Grind tissue in liquid nitrogen and resuspend in extraction buffer.
Filter through miracloth and isolate nuclei by centrifugation.
Resuspend nuclei in sonication buffer and sonicate to generate 200-500 bp fragments.
ChIP protocol optimization:
Pre-clear chromatin with Protein A/G beads for 1 hour at 4°C.
Incubate 10-15 μg of chromatin with 5 μg AT1G64540 antibody overnight at 4°C.
Add Protein A/G beads and incubate for 3 hours at 4°C.
Perform sequential washes with increasing stringency buffers.
Reverse crosslinks and purify DNA for sequencing.
Controls to include:
Input chromatin (pre-immunoprecipitation)
IgG control (non-specific antibody)
Positive control (antibody against known DNA-binding protein)
Biological replicates (minimum of 3)
This approach incorporates general ChIP-seq principles that have been applied to study transcriptional landscapes in Arabidopsis thaliana .
Studies on autopolyploid Arabidopsis have revealed significant insights about gene expression changes between ploidy levels:
Ploidy-dependent expression:
Research indicates that gene expression alterations in Arabidopsis autotetraploids depend on ecotype (genome composition) and are developmentally specific . For AT1G64540, expression patterns may vary between diploid and polyploid plants depending on the genetic background.
Methylation status and expression:
DNA methylation state can impact gene expression in polyploids. Analysis of the genomic region around AT1G64540 in different ploidy levels could reveal methylation patterns correlating with expression changes .
Odd vs. even ploidy effects:
Research has documented interesting differences between odd-number (triploid) and even-number (tetraploid) chromosome sets. These differences could affect AT1G64540 expression, similar to observations with other genes like MRD1 .
Quantification methods:
To accurately measure AT1G64540 expression differences:
RT-PCR and qRT-PCR with specific primers
Control and test reactions with melting curve analysis
Normalization against stably expressed reference genes across ploidy levels
These approaches are based on methodologies used in genetic and transcriptome analysis of autopolyploid Arabidopsis thaliana .
Post-translational modifications (PTMs) of AT1G64540 can be studied using several complementary approaches:
Mass spectrometry-based PTM mapping:
Immunoprecipitate AT1G64540 using specific antibodies
Digest with multiple proteases to increase sequence coverage
Analyze by LC-MS/MS with PTM-specific detection methods
Search for phosphorylation, ubiquitination, SUMOylation, and glycosylation
PTM-specific antibody development:
Generate antibodies against predicted phosphorylation sites
Use these alongside general AT1G64540 antibodies to determine modification state
Validate with phosphatase treatments
In vivo PTM dynamics:
Express tagged AT1G64540 in Arabidopsis
Subject plants to various stresses or developmental cues
Monitor changes in PTM status over time using mass spectrometry
Correlate with functional outcomes
PTM-mimetic mutants:
Generate phosphomimetic (S/T to D/E) or phosphonull (S/T to A) mutations
Express these in at1g64540 knockout backgrounds
Assess functional consequences through phenotypic analysis
These methodologies incorporate principles used in studying post-translational modifications in various research contexts .
Reducing non-specific binding requires systematic optimization of several parameters:
Blocking optimization:
Test multiple blocking agents (BSA, non-fat milk, normal serum)
Optimize blocking time (1-3 hours) and temperature
Consider commercial blocking reagents specifically designed for plant samples
Antibody dilution optimization:
Perform dilution series (1:500 to 1:5000) to determine optimal concentration
More dilute antibody solutions often reduce background
Buffer composition adjustment:
Increase detergent concentration (0.1-0.3% Tween-20) in wash buffers
Add 0.1-0.5 M NaCl to reduce ionic interactions
Include 0.1% BSA in antibody dilution buffer
Pre-adsorption protocol:
Pre-incubate antibody with protein extract from at1g64540 knockout tissue
This captures antibodies that bind to non-target proteins
Use the pre-adsorbed antibody solution for the actual experiment
These approaches incorporate principles used to minimize non-specific binding in antibody-based detection systems across various research contexts .
Rigorous controls are essential for reliable immunolocalization results:
Primary antibody controls:
Negative control: Omit primary antibody
Peptide competition: Pre-incubate antibody with immunizing peptide
Genetic control: Use tissue from at1g64540 knockout/knockdown plants
Secondary antibody controls:
Autofluorescence control: No primary or secondary antibody
Non-specific binding control: Secondary antibody only
Tissue preparation controls:
Fixation control: Compare multiple fixation methods
Compare membrane permeabilization methods
Positive controls:
Include antibody against known subcellular marker
Co-localize with fluorescent protein fusion if available
These control strategies are based on standard practices in immunolocalization studies and have been adapted for plant research contexts .
CRISPR/Cas9 technology offers several advantages for AT1G64540 antibody research:
Epitope tagging at endogenous locus:
Use CRISPR to introduce small epitope tags (HA, FLAG, Myc) at the N or C terminus
This preserves endogenous expression levels and regulation
Commercial antibodies against these tags provide reliable detection
Knockout generation for antibody validation:
Create precise at1g64540 knockout lines
These serve as negative controls for antibody specificity testing
Compare multiple knockout lines with different guide RNAs
Domain-specific mutations:
Introduce point mutations in specific domains
Test antibody recognition of mutant proteins
Correlate structure-function relationships
Promoter modifications:
Modify endogenous promoter to alter expression
Test antibody sensitivity across different expression levels
Create inducible systems for temporal control
These approaches leverage CRISPR technology to enhance antibody research, similar to strategies used in other molecular biology applications .
Nanobodies offer several distinct advantages over conventional antibodies:
Size advantages:
Smaller size (~15 kDa vs ~150 kDa for conventional antibodies)
Better tissue penetration for in vivo imaging
Access to epitopes in protein complexes that might be inaccessible to larger antibodies
Production benefits:
Can be expressed in bacterial systems
More consistent batch-to-batch production
Genetic fusion to reporters or tags is straightforward
Experimental applications:
Super-resolution microscopy with minimal linkage error
Intrabodies for in vivo protein tracking
Affinity purification with reduced background
Stability advantages:
Greater thermal stability than conventional antibodies
Resistant to harsh conditions during experimental procedures
Longer shelf life
The use of nanobodies represents an advanced approach similar to recent innovations in antibody technology described for other research applications .