At2g03610 is a gene identifier that appears to be related to the AGTR2 gene family, which encodes angiotensin II receptor type 2. This protein plays crucial roles in brain development and receptor-mediated signaling pathways . Antibodies against this target are valuable research tools that enable detection and measurement of the protein in various biological samples, allowing researchers to investigate its function and expression patterns in different tissues and experimental conditions .
For experimental applications, researchers typically use these antibodies in several key techniques:
Immunohistochemistry (most common application)
ELISA (Enzyme-Linked Immunosorbent Assay)
Western Blot analysis
Flow cytometry
Immunofluorescence
The selection of the appropriate antibody depends on the specific research question, tissue type, and detection method employed in the study design.
Antibody validation is crucial to ensure experimental reliability. For At2g03610 antibodies, a comprehensive validation approach should include:
Western blot analysis: Look for a single band at the expected molecular weight (~41.2 kilodaltons for human variants) . Multiple bands may indicate cross-reactivity with other proteins.
Knockout/knockdown controls: Compare antibody staining between wild-type samples and those where At2g03610 expression has been eliminated or reduced through genetic manipulation.
Peptide competition assays: Pre-incubate the antibody with a synthetic peptide containing the epitope sequence. This should eliminate specific staining in subsequent applications.
Orthogonal methods: Compare protein expression results with mRNA expression data to confirm correlation.
Cross-species reactivity testing: If working with multiple model organisms, verify specificity across species of interest.
A well-validated antibody should demonstrate consistent results across multiple validation methods and experimental conditions.
Optimization of immunohistochemistry (IHC) protocols for At2g03610 detection requires systematic adjustment of several parameters:
Fixation method: Typically, 4% paraformaldehyde works well for membrane proteins like AT2/AGTR2, but duration may need adjustment (4-24 hours) depending on tissue thickness .
Antigen retrieval: For formalin-fixed tissues, heat-induced epitope retrieval using citrate buffer (pH 6.0) or EDTA buffer (pH 9.0) is recommended. Compare both to determine optimal conditions.
Blocking conditions: Use 5-10% normal serum from the same species as the secondary antibody, with 0.1-0.3% Triton X-100 for membrane permeabilization.
Antibody dilution: Test a range of dilutions (typically 1:100 to 1:1000) to identify optimal signal-to-noise ratio.
Incubation conditions: Compare overnight incubation at 4°C versus 1-2 hours at room temperature.
Detection system: For low abundance targets, consider signal amplification methods like tyramide signal amplification.
For tissues with high autofluorescence or background, include additional blocking steps with avidin/biotin if using biotinylated secondary antibodies, or consider Sudan Black B treatment to reduce autofluorescence.
Flow cytometry offers powerful capabilities for analyzing At2g03610 expression at the single-cell level. For optimal results in heterogeneous populations:
Sample preparation: Ensure gentle cell dissociation to preserve membrane integrity, as AT2/AGTR2 is primarily localized to the cell membrane . Use enzymatic methods that minimize epitope damage.
Fluorochrome selection: Choose fluorochromes with minimal spectral overlap for multiparameter analysis. For AT2 detection alongside other markers, consider bright fluorochromes like PE or APC for lower abundance targets .
Gating strategy: Implement hierarchical gating including:
Viable cell selection (using viability dyes)
Doublet discrimination
Population-specific markers before analyzing At2g03610 expression
Controls: Include:
Fluorescence minus one (FMO) controls
Isotype controls matched to antibody concentration
Positive controls (cells known to express At2g03610)
Negative controls (cells lacking At2g03610 expression)
Hybridoma screening approach: For developing new antibodies against At2g03610, fluorescence-activated cell sorting (FACS) can efficiently identify hybridoma cells producing antibodies with high specificity and affinity . This involves labeling the target antigen with fluorescent tags and sorting cells based on fluorescence intensity .
Successful application requires careful titration of antibodies to determine optimal concentration for discrimination between positive and negative populations.
Cross-reactivity presents a significant challenge in antibody-based research. For At2g03610 antibodies, implement these strategies:
Epitope mapping and selection: Choose antibodies targeting unique epitopes with minimal sequence homology to related proteins. Bioinformatic analysis of epitope sequences prior to antibody selection can identify potential cross-reactivity concerns.
Pre-absorption techniques: Pre-incubate antibodies with recombinant proteins of potential cross-reactive targets to remove antibodies with undesired binding.
Competitive binding assays: Develop competition assays using control protein fragments to distinguish specific from non-specific binding. This approach has been successfully used for distinguishing anti-CDR binding from framework binding in therapeutic antibody development .
Multiple antibody validation: Use multiple antibodies targeting different epitopes of At2g03610 to confirm specificity of observed signals.
Orthogonal detection methods: Complement antibody-based detection with nucleic acid-based methods (RT-PCR, RNA-seq) to confirm expression patterns.
Post-translational modifications (PTMs) significantly impact antibody recognition of At2g03610/AGTR2 and can lead to misinterpretation of experimental results:
Phosphorylation effects: Phosphorylation of serine/threonine residues in AGTR2 can alter antibody epitope accessibility. Site-specific phosphorylation may occur following receptor activation, potentially masking antibody binding sites.
Glycosylation considerations: As a membrane protein, AGTR2 is subject to N-linked glycosylation which affects protein folding and epitope presentation. Deglycosylation treatments before Western blot analysis may reveal different apparent molecular weights.
Modification-specific antibodies: Consider using antibodies specifically designed to recognize modified forms of At2g03610 for studying receptor activation states.
Sample preparation impact: Harsh detergents or reducing conditions may disrupt structural epitopes dependent on disulfide bonds or protein folding.
Receptor internalization: Activation of AGTR2 can trigger receptor internalization, potentially altering subcellular localization and accessibility to antibodies in intact cells.
To address these challenges, researchers should:
Use multiple detection methods
Include appropriate controls for each modification state
Consider native versus denatured detection methods depending on research question
Document and report extraction and processing methods in detail to ensure experimental reproducibility
Investigating protein-protein interactions involving At2g03610/AGTR2 requires sophisticated antibody-based techniques:
Co-immunoprecipitation (Co-IP):
Use anti-At2g03610 antibodies conjugated to solid supports (e.g., agarose or magnetic beads)
Lyse cells under non-denaturing conditions to preserve protein-protein interactions
Elute complexes and identify interacting partners by Western blot or mass spectrometry
Critical control: Include IgG isotype control immunoprecipitations to identify non-specific binding
Proximity Ligation Assay (PLA):
Allows visualization of protein interactions in situ with single-molecule sensitivity
Requires two antibodies from different species targeting At2g03610 and its potential binding partner
Each antibody is connected to a different DNA oligonucleotide
When proteins are in close proximity (<40 nm), oligonucleotides can be ligated and amplified, creating a fluorescent spot
Provides spatial information about interaction locations within cells
Förster Resonance Energy Transfer (FRET):
Label At2g03610 and potential partners with compatible fluorophore pairs
Energy transfer between fluorophores occurs only at distances <10 nm
Can be combined with antibody-based detection using fluorophore-conjugated secondary antibodies
Allows real-time monitoring of dynamic interactions
Bioluminescence Resonance Energy Transfer (BRET):
Similar to FRET but uses luciferase enzyme paired with fluorescent protein
Reduces background signal compared to FRET
Useful for studying membrane receptor interactions like AGTR2
Each method has distinct advantages for different experimental questions, with Co-IP providing strong evidence of physical association, while PLA and FRET/BRET offer spatial and temporal information about interactions in intact cells.
At2g03610/AGTR2 signaling pathway analysis requires approaches that capture both protein levels and functional states:
Phospho-specific antibody panels:
Use antibodies against phosphorylated downstream signaling molecules
Create time-course experiments following receptor stimulation
Key targets include MAP kinases, phosphatases, and transcription factors in the AGTR2 pathway
Western blot or flow cytometry analysis allows quantification of pathway activation
Receptor internalization assays:
Surface biotinylation followed by antibody detection of internalized receptors
Flow cytometry with non-permeabilized cells to quantify surface receptor levels
Confocal microscopy with fluorescently-labeled antibodies to track receptor trafficking
Receptor dimerization analysis:
AGTR2 can form homo- and heterodimers affecting signaling properties
Use bifunctional cross-linking reagents followed by immunoprecipitation
Blue native PAGE with antibody detection to preserve native complexes
Functional pathway readouts:
Combine antibody detection with functional assays (calcium mobilization, cAMP)
Correlate receptor levels with signaling outputs
Use pathway inhibitors to confirm specificity of observed effects
Research has shown that angiotensin II receptor type 2 (AGTR2/AT2R) mediates protective, anti-inflammatory, and regenerative effects in contrast to the pro-inflammatory AT1R pathway . This highlights the importance of studying differential receptor signaling in disease contexts.
Development of immunoassays for soluble At2g03610/AGTR2 forms requires attention to several critical factors:
Epitope accessibility in solution:
Membrane proteins like AGTR2 may expose different epitopes when solubilized
Test multiple antibody pairs recognizing distinct epitopes
Determine if denaturation affects recognition
Assay format optimization:
For sandwich ELISA, evaluate different capture/detection antibody combinations
Consider direct coating versus capture antibody approaches
Test various blocking reagents to minimize background
Matrix effects:
Biological samples contain interfering substances
Develop appropriate dilution protocols for different sample types
Include recovery experiments with spiked standards
Standardization:
Use recombinant protein standards with verified concentration
Include standard curves in each assay
Consider internal controls for inter-assay normalization
Cross-reactivity testing:
Test against related proteins, particularly AGTR1
Evaluate species cross-reactivity if developing for multiple research models
Perform competition studies with unlabeled antigens
Preexisting antibodies consideration:
Biological samples may contain endogenous antibodies that interfere with detection
For therapeutic applications, preexisting anti-hinge or anti-framework antibodies can complicate immunogenicity assessment
Develop competition assays that can detect specific anti-CDR antibodies in the presence of preexisting reactivity
These considerations ensure development of robust, specific, and sensitive immunoassays for soluble At2g03610 forms in research and potential clinical applications.
Single-cell technologies are revolutionizing our understanding of At2g03610/AGTR2 expression patterns:
Single-cell RNA sequencing integration:
Correlates At2g03610 transcript levels with protein expression at single-cell resolution
Reveals previously unrecognized cellular subpopulations with differential expression
Provides context of receptor expression within broader transcriptional programs
Challenges: Protein detection requires antibody-based methods like CITE-seq
Mass cytometry (CyTOF):
Uses metal-conjugated antibodies for highly multiplexed protein detection
Allows simultaneous measurement of At2g03610 with dozens of other proteins
Enables comprehensive phenotyping of expressing cells
Metal-tagged antibodies eliminate spectral overlap concerns of fluorescence
Imaging mass cytometry:
Combines CyTOF with imaging to provide spatial information
Maps At2g03610 expression within tissue architecture
Preserves morphological context lacking in dissociated cell analysis
Spatial transcriptomics correlation:
Links antibody-detected protein localization with spatial gene expression
Provides insights into transcriptional regulation in different microenvironments
Helps identify factors influencing regional expression differences
These technologies have revealed unexpected heterogeneity in receptor expression between seemingly identical cells and demonstrated differential expression patterns in disease states. For example, in angiotensin receptor research, single-cell approaches have shown that AT2R expression patterns change significantly in response to tissue injury and inflammation .
Recent advances in antibody engineering are enhancing At2g03610/AGTR2 detection capabilities:
Recombinant antibody fragmentation:
Camelid single-domain antibodies (nanobodies):
Exceptionally small size (~15 kDa) enables access to sterically hindered epitopes
High stability under various buffer conditions
Enhanced penetration into tissue sections
Reduced immunogenicity in in vivo applications
Bispecific antibody formats:
Simultaneously bind At2g03610 and a second target
Enable novel detection strategies like proximity-based reporter activation
Useful for co-localization studies with interaction partners
Affinity maturation techniques:
Site-specific conjugation:
Controlled attachment of detection molecules at defined positions
Prevents random labeling that can interfere with antigen binding
Engineered cysteine residues or enzymatic tags enable precise modification
These advanced antibody engineering approaches are dramatically improving the toolkit available for At2g03610 research, enabling detection of previously undetectable levels of expression and revealing new biological insights.
Computational methods are increasingly valuable for optimizing At2g03610/AGTR2 antibody research:
Epitope prediction algorithms:
In silico analysis of protein sequence to identify optimal antigenic regions
Structural modeling to predict surface-exposed domains
Machine learning approaches to identify epitopes with minimal cross-reactivity potential
Integration of protein modification data to avoid regions subject to variable PTMs
Antibody-antigen interaction modeling:
Molecular dynamics simulations to predict binding stability
Computational docking to estimate binding affinity
Identification of critical binding residues to guide mutagenesis studies
Cross-reactivity prediction tools:
Database searching for proteins with similar epitope sequences
Proteome-wide analysis to identify potential off-target binding
Helps prioritize validation experiments for predicted cross-reactive targets
Experimental design optimization:
Power analysis to determine appropriate sample sizes
Batch effect modeling to minimize systematic errors
Multiplexed assay design to maximize information from limited samples
Image analysis automation:
Machine learning algorithms for unbiased quantification of immunostaining
Deep learning approaches for pattern recognition in complex tissues
Standardized analysis pipelines to improve reproducibility
By integrating computational approaches with traditional antibody validation methods, researchers can accelerate discovery while improving reliability. These tools are particularly valuable when working with challenging targets like membrane receptors, where experimental approaches alone may miss important variables affecting antibody performance.
At2g03610/AGTR2 antibodies are providing critical insights into disease processes:
Cardiovascular disease research:
Angiotensin II receptor type 2 (AT2R) has been shown to counteract the harmful effects of AT1R activation
Immunohistochemistry with anti-AT2R antibodies reveals expression changes in diseased vessels
Helps identify patients who might benefit from targeted therapies affecting the RAS pathway
Neurological disorders:
AGTR2 plays roles in brain development and neural regeneration
Antibody-based studies have mapped receptor distribution in different brain regions
Expression changes correlate with neurodegenerative conditions
COVID-19 pathophysiology:
The SARS-CoV-2 virus utilizes ACE2 for cell entry, disrupting the renin-angiotensin system
Anti-AT1R autoantibodies have been associated with COVID-19 severity
Research suggests patients with anti-AT1R autoantibodies may experience protection from severe COVID-19 through altered angiotensin II signaling
Increased angiotensin II due to ACE2 occupation by SARS-CoV-2 may become available to bind AT2R, potentially mediating protective effects
Cancer biology:
Altered AGTR2 expression has been detected in various tumors
Antibody-based tissue microarray studies correlate expression with patient outcomes
Potential target for therapeutic development
Fibrotic disorders:
AT2R activation may counteract pro-fibrotic processes
Antibody detection helps quantify receptor levels in fibrotic tissues
Expression patterns guide therapeutic strategies targeting the renin-angiotensin system
These applications demonstrate how antibody-based detection of At2g03610/AGTR2 contributes to our understanding of disease mechanisms and identification of potential therapeutic approaches.
Translating At2g03610/AGTR2 antibody research to clinical settings presents several methodological challenges:
Standardization across laboratories:
Different antibody clones produce variable results
Lack of universal calibration standards complicates cross-study comparisons
Need for validated reference materials and standardized protocols
Tissue preservation and processing effects:
Clinical samples undergo variable fixation and processing
Epitope retrieval methods significantly impact staining patterns
Retrospective studies using archived samples face inconsistent preservation
Quantification challenges:
Converting subjective immunohistochemistry scoring to objective measurements
Need for digital pathology approaches with validated algorithms
Establishing clinically relevant cutoff values for expression levels
Pre-analytical variables:
Time from collection to fixation affects protein preservation
Storage conditions impact antigen stability
Patient variables (medications, comorbidities) affect expression
Anti-therapeutic antibody interference:
Regulatory considerations:
Antibody-based diagnostics require extensive validation
Companion diagnostics must demonstrate clinical utility
Method transfer between research and clinical laboratories requires rigorous validation
Addressing these challenges requires collaborative efforts between academic researchers, industry partners, and regulatory agencies to establish standardized approaches for translating antibody-based findings to clinical applications.