Antibodies (Immunoglobulins) are composed of two heavy chains and two light chains, forming a "Y" shape. The variable regions at the tips (paratopes) bind to specific epitopes on antigens . Secondary antibodies, such as those conjugated with enzymes or fluorochromes, are used to detect primary antibodies in assays like ELISA or immunohistochemistry .
The At2g21120 gene in Arabidopsis encodes a protein likely involved in plant-specific processes, such as stress response or development. Antibodies targeting this protein would enable researchers to study its localization, expression levels, or interactions in tissues.
Immunolocalization: Detecting At2g21120 in plant tissues using fluorescently labeled secondary antibodies .
Western Blotting: Quantifying protein expression under stress conditions.
Protein Purification: Using affinity chromatography with immobilized At2g21120 antibodies .
No direct references to "At2g21120 Antibody" exist in the provided sources. Its development likely follows standard protocols for custom antibody production, including immunization of animals (e.g., rabbits) with recombinant At2g21120 protein, followed by hybridoma screening .
At2g21120 is a gene identifier for a protein found in Arabidopsis thaliana, located on chromosome 2. Antibodies targeting this protein are valuable tools for studying plant molecular biology, particularly in research involving protein detection, localization, and functional studies. These antibodies enable researchers to investigate protein expression patterns, protein-protein interactions, and biochemical pathways involving At2g21120 . Recent advances in de novo antibody design have enabled the development of precise antibodies against targets like At2g21120 without requiring prior antibody information, significantly expanding research capabilities in this area.
Researchers typically have access to both polyclonal and monoclonal antibodies for At2g21120 detection. Polyclonal antibodies recognize multiple epitopes on the target protein, offering higher sensitivity but potentially lower specificity. Monoclonal antibodies, in contrast, recognize a single epitope, providing higher specificity but potentially lower sensitivity. Recent advances in computational antibody design, as demonstrated in the 2025 study on de novo antibody design, have enabled the creation of highly specific monoclonal antibodies for various protein targets including At2g21120 . These computationally designed antibodies are showing promise for distinguishing closely related protein subtypes with high molecular specificity.
Proper validation of At2g21120 antibodies should follow a multi-step process:
Western blot analysis: Confirm the antibody detects a band of the expected molecular weight (specific to At2g21120 protein)
Immunoprecipitation: Verify the antibody can pull down the target protein from cell lysates
Immunofluorescence/Immunohistochemistry: Ensure proper localization patterns consistent with known distribution
Negative controls: Test antibody in systems where At2g21120 is knocked down or absent
Cross-reactivity analysis: Assess potential cross-reactivity with similar proteins
Methods such as dot-blot analysis can also be valuable for assessing antibody specificity, similar to techniques used in other antibody validation studies . Proper validation ensures experimental reliability and reproducibility in subsequent research applications.
Recent advances have revolutionized antibody production for targets like At2g21120. Traditional methods include:
Hybridoma technology: Generation of monoclonal antibodies through fusion of antibody-producing B cells with myeloma cells
Phage display: Selection of antibody fragments from large libraries displayed on bacteriophage
Recombinant antibody production: Expression of engineered antibodies in various host systems
Creating approximately 10^6 sequence combinations
Combining 10^2 designed light chain sequences with 10^4 designed heavy chain sequences
Using yeast display technology to identify high-affinity binders
Converting promising candidates to full IgG format for further characterization
This computational design approach has demonstrated unprecedented precision compared to previous de novo antibody design reports, enabling discovery of antibodies with varying binding strengths for all six tested targets, including cases without experimentally resolved target structures .
Enhancing the specificity of At2g21120 antibodies can be achieved through several methodological approaches:
Epitope selection: Choose unique epitopes with minimal homology to related proteins
Affinity maturation: Introduce targeted mutations to increase binding affinity and specificity
Negative selection: Screen antibody candidates against related proteins to eliminate cross-reactive clones
Computational design: Utilize structure-based predictions to identify optimal binding interfaces
The recent advances in computational antibody design have demonstrated remarkable success in generating antibodies capable of distinguishing closely related protein subtypes or mutants . This approach leverages atomic-accuracy structure prediction to design antibodies with tailored properties, achieving high molecular specificity that can differentiate subtle variations in target proteins.
The choice between monoclonal and polyclonal antibodies for At2g21120 research depends on specific experimental needs:
| Characteristic | Monoclonal Antibodies | Polyclonal Antibodies |
|---|---|---|
| Specificity | High (single epitope) | Variable (multiple epitopes) |
| Sensitivity | Generally lower | Generally higher |
| Batch-to-batch consistency | Excellent | Variable |
| Production complexity | Higher | Lower |
| Cost | Higher | Lower |
| Epitope accessibility issues | More vulnerable | Less vulnerable |
| Application in modified proteins | May miss modified epitopes | Can recognize multiple epitopes |
| Ideal applications | Highly specific detection, distinguishing related proteins | Initial screening, detection of denatured proteins |
For At2g21120 research requiring precise distinction between closely related plant proteins, computationally designed monoclonal antibodies offer superior specificity similar to the antibodies described in the 2025 study, which demonstrated the ability to distinguish closely related protein subtypes .
Optimal western blotting conditions for At2g21120 antibodies typically include:
Sample preparation:
Use fresh plant tissue or cell culture material
Extract proteins in buffer containing protease inhibitors
Heat samples at 95°C for 5 minutes in reducing SDS sample buffer
Gel electrophoresis and transfer:
10-12% SDS-PAGE for optimal resolution
Semi-dry or wet transfer to nitrocellulose membrane (0.45 μm pore size)
Transfer at 100V for 1 hour or 30V overnight at 4°C
Blocking and antibody incubation:
Block with 5% non-fat milk in PBS for 1 hour at room temperature
Primary antibody dilution: 1:1000 to 1:5000 in 1% PBS-milk solution
Incubate primary antibody for 1-2 hours at room temperature or overnight at 4°C
Secondary antibody (HRP-conjugated): 1:5000 to 1:10000 dilution
Detection using enhanced chemiluminescence substrate
These protocols are adapted from established antibody validation methods, similar to those described for other research antibodies . Optimization may be necessary based on the specific properties of the At2g21120 antibody being used.
For successful immunoprecipitation of At2g21120, consider the following methodological approach:
Lysate preparation:
Harvest plant tissue or cells and lyse in non-denaturing buffer
Use buffer containing 150 mM NaCl, 50 mM Tris-HCl (pH 7.5), 1% NP-40 or Triton X-100
Include protease and phosphatase inhibitors freshly before use
Clear lysate by centrifugation (10,000 g for 10 minutes at 4°C)
Antibody binding:
Pre-clear lysate with protein A/G beads (30 min at 4°C)
Add 2-5 μg of At2g21120 antibody per 500 μg of protein lysate
Incubate with rotation overnight at 4°C
Add pre-washed protein A/G beads and incubate 2-4 hours at 4°C
Washing and elution:
Wash beads 4-5 times with cold IP buffer
Elute proteins with SDS sample buffer by heating at 95°C for 5 minutes
Analysis:
Perform SDS-PAGE and western blot to confirm successful IP
Consider mass spectrometry for interactome analysis
This protocol is designed based on successful IP methodologies used for other research antibodies, as demonstrated in previous studies evaluating antibody suitability for immunoprecipitation assays .
Proper immunofluorescence experiments with At2g21120 antibodies require rigorous controls:
Essential negative controls:
Secondary antibody only (omit primary antibody)
Isotype control (irrelevant primary antibody of same isotype)
Pre-immune serum (for polyclonal antibodies)
Tissue/cells lacking At2g21120 expression (genetic knockout if available)
Blocking peptide control:
Pre-incubate antibody with excess immunizing peptide
Should abolish specific staining
Positive controls:
Tissue/cells known to express At2g21120
Co-staining with another marker of the expected subcellular compartment
Technical validation:
Multiple fixation methods comparison
Different antibody concentrations testing
Comparison of results with alternative At2g21120 antibodies if available
Including these controls ensures that observed signals are specific to At2g21120 rather than artifacts or non-specific binding, similar to validation approaches used for other antibodies in research settings .
For effective ChIP experiments using At2g21120 antibodies, follow this methodological approach:
Sample preparation:
Crosslink plant tissue with 1% formaldehyde for 10 minutes
Quench with 0.125 M glycine for 5 minutes
Isolate nuclei and perform sonication to generate chromatin fragments (200-500 bp)
Reserve 5-10% of sheared chromatin as input control
Immunoprecipitation:
Pre-clear chromatin with protein A/G beads
Add 3-5 μg of At2g21120 antibody to 25-50 μg of chromatin
Incubate overnight at 4°C with rotation
Add protein A/G beads and incubate 2-4 hours at 4°C
Perform stringent washing steps
Crosslink reversal and DNA purification:
Reverse crosslinks by heating at 65°C overnight
Treat with RNase A and Proteinase K
Purify DNA using column-based methods
Analysis:
Perform qPCR targeting regions of interest
Consider ChIP-seq for genome-wide binding analysis
The success of ChIP experiments depends heavily on antibody quality. Antibodies developed through computational design approaches similar to those described in the 2025 study may offer superior specificity for distinguishing closely related protein isoforms in complex chromatin environments .
RIP assays are valuable for studying RNA-protein interactions involving At2g21120. The methodology includes:
Cell/tissue preparation:
Harvest plant tissue or cells in non-denaturing conditions
Homogenize in lysis buffer containing RNase inhibitors
Clear lysate by centrifugation
Immunoprecipitation:
Pre-clear lysate with protein A/G beads
Add 5 μg of At2g21120 antibody
Incubate with rotation overnight at 4°C
Add protein A/G beads and incubate for 3 hours at 4°C
Wash beads thoroughly with RIP wash buffer
RNA isolation and analysis:
Extract RNA from immunoprecipitated material
Treat with DNase to remove contaminating DNA
Perform RT-qPCR or RNA-seq to identify bound RNAs
Controls and validation:
IgG control immunoprecipitation
Input RNA control
Validation of enriched transcripts by independent methods
This approach is based on established RIP protocols that have been successfully applied to other RNA-binding proteins, similar to those described for TLS/FUS protein studies . For At2g21120, the specificity of computationally designed antibodies would be particularly advantageous for distinguishing between closely related RNA-binding proteins that might have overlapping targets.
Epitope masking can prevent antibody recognition of At2g21120 due to protein conformation, post-translational modifications, or protein-protein interactions. To overcome these challenges:
Sample preparation modifications:
Test multiple extraction buffers with different detergents
Try various fixation methods for immunostaining
Consider antigen retrieval techniques:
Heat-induced epitope retrieval (100°C in citrate buffer, pH 6.0)
Enzymatic retrieval (proteinase K treatment)
Strong denaturing conditions for western blotting
Alternative antibody approaches:
Use antibodies targeting different epitopes on At2g21120
Consider using both polyclonal and monoclonal antibodies
Develop computationally designed antibodies targeting less-masked regions
Experimental adaptations:
For protein complexes: use crosslinking to stabilize interactions
For post-translational modifications: use phosphatase or deglycosylase treatments
For membrane proteins: optimize membrane protein extraction protocols
The computational antibody design approach described in the 2025 study could be particularly valuable for developing antibodies targeting accessible epitopes of At2g21120 , as the atomic-level structural predictions can identify optimal binding sites even in challenging protein conformations.
Multiple bands in western blots using At2g21120 antibodies could result from several biological or technical factors:
| Potential Cause | Interpretation | Verification Approach |
|---|---|---|
| Protein isoforms | Different splice variants or isoforms of At2g21120 | RNA-seq to confirm expression of multiple transcripts |
| Post-translational modifications | Phosphorylation, glycosylation, or other modifications | Treat samples with phosphatase or glycosidase |
| Proteolytic degradation | Degradation products of At2g21120 | Add protease inhibitors, prepare fresh samples |
| Cross-reactivity | Antibody recognizing related proteins | Peptide competition assay, knockout controls |
| Protein complexes | Incompletely denatured protein complexes | Increase SDS concentration and heating time |
| Non-specific binding | Poor antibody specificity | Use more stringent washing, optimize blocking |
To distinguish between these possibilities:
Compare observed band patterns with predicted molecular weights of known isoforms
Perform peptide competition assays to determine which bands are specific
Use genetic knockdown/knockout samples as negative controls
Consider alternative antibodies targeting different epitopes of At2g21120
This analytical approach follows established antibody validation methodologies used in other protein studies .
Optimizing signal-to-noise ratio requires systematic approach to both increase specific signal and reduce background:
Enhancing specific signal:
Optimize antibody concentration through titration experiments
Adjust incubation time and temperature
Use signal amplification systems (tyramide signal amplification for IHC/IF)
Consider more sensitive detection systems (enhanced chemiluminescence substrates)
Reducing background noise:
Increase blocking stringency (5% BSA or 5% milk, add 0.1-0.3% Tween-20)
Extend blocking time (overnight at 4°C)
Add carrier proteins to antibody diluent (0.5-1% BSA)
Use more stringent washing (increase number, duration, and detergent concentration)
Pre-absorb antibodies with tissues lacking At2g21120
Antibody quality considerations:
Systematic optimization of these parameters, particularly when working with novel targets like At2g21120, is essential for achieving reliable results in different experimental contexts.
For accurate quantitative analysis of At2g21120, consider these methodological approaches:
Western blot quantification:
Use internal loading controls (housekeeping proteins)
Include standard curves with recombinant At2g21120 protein
Apply appropriate normalization methods
Use modern digital imaging systems rather than film
Ensure signal is within linear detection range
ELISA development:
Develop sandwich ELISA using two antibodies recognizing different epitopes
Include standard curves with purified At2g21120 protein
Validate assay for specificity, sensitivity, and reproducibility
Determine lower limit of detection and quantification
Flow cytometry:
Establish proper controls for gating and fluorescence compensation
Use median fluorescence intensity for quantification
Include calibration beads to standardize measurements
Consider dual staining to normalize for cell size/protein content
Automated image analysis for immunofluorescence/IHC:
Use standardized acquisition settings
Apply thresholding consistently across samples
Quantify signal intensity, area, or colocalization coefficients
Include reference standards in each experiment
These quantitative approaches should be validated with appropriate positive and negative controls, similar to the methodological validation described for other antibody-based techniques .
Computational antibody design represents a revolutionary approach for developing highly specific At2g21120 antibodies:
Current capabilities:
The 2025 study demonstrated de novo antibody design without prior antibody information
Successfully created binders for six distinct target proteins
Generated 10^6 candidate sequences by combining designed light and heavy chains
Identified binders with varying binding strengths for all targets
Achieved specificity capable of distinguishing closely related protein subtypes
Advantages for At2g21120 research:
Can design antibodies even without experimental structures of At2g21120
Enables targeting of specific epitopes for optimal detection
Allows rational design of antibodies that distinguish between closely related plant proteins
Produces antibodies with tailored properties (affinity, specificity, developability)
Future potential:
Integration with AI-powered prediction of protein interactions
Design of antibodies targeting specific post-translational modifications
Engineering antibodies with enhanced tissue penetration for in vivo applications
Development of bispecific antibodies for studying protein complexes
This computational approach holds tremendous promise for creating next-generation research tools for studying challenging targets like At2g21120 .
Advanced multiplex imaging with At2g21120 antibodies enables sophisticated spatial biology studies:
Cyclic immunofluorescence (CycIF):
Sequential staining, imaging, and signal removal
Can incorporate At2g21120 antibodies with dozens of other markers
Enables colocalization studies with subcellular resolution
Requires careful antibody validation for multiplexing compatibility
Mass cytometry imaging (IMC):
Labels At2g21120 antibodies with rare earth metals
Allows simultaneous detection of 40+ proteins
Provides single-cell resolution in tissue context
Requires specialized equipment and metal-conjugated antibodies
DNA-barcoded antibody methods:
Conjugates At2g21120 antibodies with unique DNA oligonucleotides
Enables highly multiplexed detection through sequential hybridization
Can be combined with RNA detection for multi-omic analyses
Requires validation of barcode conjugation effects on antibody binding
Practical considerations:
Validate antibody performance in multiplexed formats
Confirm absence of cross-reactivity with other primary antibodies
Optimize signal amplification for low-abundance targets
Implement computational analysis pipelines for multi-dimensional data
These approaches enable unprecedented insights into At2g21120 protein localization and interaction networks within complex cellular contexts, particularly when using computationally designed antibodies with high specificity .
At2g21120 antibodies enable sophisticated analysis of RNA-protein interactions through several advanced methodologies:
RNA-binding protein immunoprecipitation (RIP):
Cross-linking immunoprecipitation (CLIP):
Proximity ligation assays:
Combines At2g21120 antibodies with RNA probes
Detects RNA-protein interactions in situ
Provides spatial context for interactions
Requires optimization of fixation and permeabilization conditions
RNA-protein interaction screening:
Uses At2g21120 antibodies to identify RNA binding partners
Can incorporate RNA libraries or cellular transcriptomes
Enables discovery of novel regulatory interactions
Benefits from highly specific antibodies to reduce false positives
These methodologies provide complementary insights into At2g21120's RNA binding properties and regulatory functions, with each approach offering distinct advantages for specific research questions. The importance of antibody specificity for RNA-binding protein studies has been demonstrated in previous research , highlighting the potential value of computationally designed antibodies for these applications.