At1g31080 is a gene in Arabidopsis thaliana, but the search results focus on human and mammalian antibodies, particularly those targeting:
No sources mention plant-derived antibodies or Arabidopsis thaliana gene products.
While the search results do not address At1g31080, they provide insights into antibody development and applications that may guide future research:
To study an antibody targeting the At1g31080 gene product, consider these steps:
Identify the protein encoded by At1g31080 using plant genomics databases (e.g., TAIR).
Example: If the gene encodes a receptor kinase, design antibodies against its extracellular domain.
Epitope Selection: Use bioinformatics tools to predict immunogenic regions.
Validation: Employ techniques like ELISA or Western blotting, as demonstrated in studies on AT1R antibodies ( ).
Test antibody efficacy in plant tissue using methods analogous to those in mammalian systems (e.g., immunohistochemistry, as in ).
Compare results to controls, ensuring specificity (e.g., knockout plant lines).
No direct data on At1g31080 antibodies exists in the provided sources.
Potential Solutions:
Consult specialized plant biology repositories (e.g., Uniprot, Phytozome).
Review literature on Arabidopsis antibody development (e.g., against similar receptor-like kinases).
At1g31080 (UniProt ID: Q9SA02) is a protein found in Arabidopsis thaliana (Mouse-ear cress). While the specific research literature on this protein is limited in the provided sources, it belongs to a family of proteins expressed in Arabidopsis that are important for plant development and stress responses. Methodologically, researchers investigating this protein typically employ a combination of genetic approaches (such as knockout/knockdown studies) and protein localization techniques to elucidate its function .
At1g31080 antibodies are typically polyclonal antibodies raised in rabbits against recombinant Arabidopsis thaliana At1g31080 protein. They are generally supplied in liquid form, preserved in a buffer containing approximately 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative. These antibodies are purified using antigen affinity methods and are specifically reactive with Arabidopsis thaliana samples. They are validated for ELISA and Western blot applications to ensure proper identification of the target antigen .
While the exact molecular weight is not specified in the provided search results for At1g31080 specifically, researchers should first consult the UniProt database (Q9SA02) to determine the predicted molecular weight based on amino acid sequence. Similar plant proteins, such as actin, typically show differences between predicted molecular weight and apparent molecular weight on SDS-PAGE. For example, actin has a predicted molecular weight of 41.6 kDa but typically appears at approximately 45 kDa on gels . This difference could be due to post-translational modifications or structural features affecting migration patterns.
For optimal Western blot results with plant protein antibodies similar to At1g31080:
Tissue extraction: Harvest fresh Arabidopsis thaliana tissue and immediately freeze in liquid nitrogen. Grind to a fine powder while maintaining frozen state.
Protein extraction buffer: Use a buffer containing:
0.1 M Tris-HCl (pH 8.0)
5% sucrose (m/v)
2% SDS (m/v)
Protease inhibitors (1 mM PMSF or commercial cocktail)
Extraction procedure:
Add 5 ml buffer per gram of tissue
Heat samples at 95°C for 5 minutes
Centrifuge at 14,000 × g for 10 minutes at 4°C
Collect supernatant and determine protein concentration
SDS-PAGE conditions:
Load 10-15 μg total protein per lane
Use 12% polyacrylamide gels for optimal resolution
Include molecular weight markers
Similar plant antibodies demonstrate optimal results with these methods .
Based on similar plant antibodies and standard protocols for polyclonal antibodies:
| Application | Recommended Dilution | Incubation Conditions |
|---|---|---|
| Western Blot | 1:3000 - 1:5000 | 1-2 hours at RT or overnight at 4°C |
| ELISA | 1:1000 - 1:3000 | 1-2 hours at RT |
These dilutions should be optimized for each specific experimental setup. For Western blotting, dilute the antibody in TBS-T buffer containing 2-5% non-fat dry milk or BSA. For ELISA, dilute in the appropriate blocking buffer according to your established protocol .
A methodologically sound experimental design should include these controls:
Positive control: Include protein extract from wild-type Arabidopsis thaliana known to express At1g31080.
Negative control: Use one of the following:
Protein extract from knockout/knockdown lines of At1g31080 if available
Pre-immune serum at the same dilution as the primary antibody
Primary antibody pre-absorbed with excess immunizing peptide
Loading control: Include detection of a constitutively expressed protein such as actin or GAPDH to normalize expression levels.
Secondary antibody control: Omit primary antibody but include secondary antibody to identify non-specific binding.
These controls help distinguish specific signals from background and validate antibody specificity .
For maximum stability and activity retention:
Long-term storage: Store at -20°C to -80°C in the manufacturer's buffer (typically containing 50% glycerol).
Working aliquots: Upon receipt, prepare small working aliquots (10-50 μl) to avoid repeated freeze-thaw cycles.
Thawing procedure: Thaw aliquots on ice, briefly centrifuge before opening tubes to collect all liquid.
Short-term storage: For ongoing experiments, antibody dilutions can be stored at 4°C for up to one week with the addition of 0.02% sodium azide as preservative.
Critical precaution: Never store diluted antibody solutions without preservative at 4°C for extended periods as this may lead to microbial contamination and degradation .
When encountering high background in Western blots or other applications:
Optimize antibody dilution: Test a dilution series (e.g., 1:1000, 1:3000, 1:5000, 1:10000) to determine optimal signal-to-noise ratio.
Improve blocking conditions:
Increase blocking time (2-3 hours at room temperature or overnight at 4°C)
Test different blocking agents (5% non-fat dry milk, 3-5% BSA, or commercial blocking reagents)
Add 0.1-0.3% Tween-20 to blocking and washing buffers
Optimize washing steps:
Increase number of washes (5-6 times for 5-10 minutes each)
Use larger volumes of wash buffer
Add higher concentrations of Tween-20 (up to 0.1%) or NaCl (up to 500 mM) to washing buffer
Reduce non-specific binding:
Add 1-5% blocking agent to antibody dilution buffer
Pre-absorb antibody with plant extract from species that do not express the target
Reduce detection sensitivity if signal-to-noise ratio remains poor despite optimization .
The At1g31080 antibody is specifically designed to recognize Arabidopsis thaliana protein. Cross-reactivity with other species depends on sequence conservation of the immunogen region. When working with non-Arabidopsis species:
Sequence homology analysis: Perform BLAST analysis comparing At1g31080 sequence with the corresponding protein in your species of interest to predict potential cross-reactivity.
Empirical testing: Always validate cross-reactivity experimentally by:
Running Western blots with protein extracts from multiple species
Including positive (Arabidopsis) and negative controls
Comparing observed band patterns with predicted molecular weights
Epitope conservation assessment: If the specific epitope sequence is known, compare this region specifically across species for higher predictive value.
Unlike some plant antibodies that show broad cross-reactivity (such as actin antibodies that react with proteins from multiple plant species including Arabidopsis thaliana, Brassica sp., Cucumis sativus, etc.), species-specific antibodies like At1g31080 may have limited cross-reactivity .
For investigating protein interactions involving At1g31080:
Co-immunoprecipitation (Co-IP):
Prepare plant extract under native conditions (non-denaturing buffer)
Incubate with At1g31080 antibody conjugated to protein A/G beads
Isolate protein complexes and analyze interacting partners by mass spectrometry
Validate interactions by reverse Co-IP with antibodies against identified partners
Proximity Ligation Assay (PLA):
Fix and permeabilize plant cells/tissues
Incubate with At1g31080 antibody and antibody against putative interacting protein
Apply species-specific PLA probes and perform rolling circle amplification
Analyze interaction signals by fluorescence microscopy
Bimolecular Fluorescence Complementation (BiFC) validation:
Generate fusion constructs of At1g31080 and candidate interactors with split fluorescent protein fragments
Express in plant protoplasts or via transient expression
Analyze reconstituted fluorescence as indication of protein-protein interaction
These approaches provide complementary evidence for protein interactions in different experimental contexts .
For successful subcellular localization studies:
Sample preparation protocol:
Fix plant tissue in 4% paraformaldehyde for 45-60 minutes
Perform tissue clearing if necessary (e.g., with ClearSee or modified Truant's clearing solution)
Permeabilize with 0.1-0.5% Triton X-100
Block with 3-5% BSA or normal serum
Antibody application:
Use At1g31080 antibody at 1:100-1:250 dilution
Incubate samples overnight at 4°C
Apply fluorescently-labeled secondary antibody (1:500 dilution)
Include DAPI for nuclear counterstaining
Imaging optimization:
Use confocal microscopy for optimal resolution
Collect Z-stacks to capture 3D distribution
Include appropriate controls (secondary antibody only, pre-immune serum)
Super-resolution options:
For detailed subcellular localization, consider expansion microscopy (ExM)
When using ExM, dilute At1g31080 antibody 1:250
Follow standard ExM protocols for sample expansion and imaging
These methods allow precise determination of the subcellular localization of At1g31080 protein .
To study post-translational modifications and protein degradation:
Phosphorylation analysis:
Treat samples with phosphatase inhibitors during extraction
Perform immunoprecipitation with At1g31080 antibody
Analyze by Western blot with phospho-specific antibodies
Confirm with mass spectrometry phosphopeptide mapping
Ubiquitination studies:
Treat plants with proteasome inhibitors (MG132)
Perform immunoprecipitation under denaturing conditions
Probe Western blots with both At1g31080 and ubiquitin antibodies
Analyze higher molecular weight bands indicating ubiquitinated forms
Protein stability assays:
Treat plants with cycloheximide to inhibit protein synthesis
Collect samples at different time points
Perform Western blot with At1g31080 antibody
Quantify protein levels to determine half-life
Stress-induced modification profiling:
Subject plants to various stresses (drought, salt, heat)
Analyze changes in At1g31080 protein abundance, modification state, and localization
Compare with transcriptional responses to distinguish regulatory mechanisms
These approaches help elucidate the regulation and turnover of At1g31080 protein under different conditions .
To correlate protein expression with transcriptional regulation:
Integrated analysis protocol:
Extract RNA and protein from the same tissue samples
Perform RT-qPCR or RNA-seq for transcript quantification
Use Western blot with At1g31080 antibody for protein detection
Normalize protein levels to housekeeping controls (e.g., actin)
Compare transcript and protein abundance patterns
Time-course experimental design:
Collect samples at multiple time points after treatment or during development
Analyze transcript levels by RT-qPCR
Determine protein levels by quantitative Western blotting
Calculate correlation coefficients between mRNA and protein levels
Identify time lags suggesting post-transcriptional regulation
Data integration approach:
Create scatter plots of transcript vs. protein levels
Calculate Pearson or Spearman correlation coefficients
Identify conditions with discordant mRNA/protein patterns
Investigate potential regulatory mechanisms (e.g., miRNA targeting, protein stability)
This integrated approach reveals post-transcriptional regulation mechanisms affecting At1g31080 expression .
For rigorous validation of antibody specificity:
Genetic validation:
Test antibody against wild-type and knockout/knockdown lines
Verify absence/reduction of signal in mutant lines
Complement with overexpression lines to confirm signal increase
Biochemical validation:
Perform peptide competition assay (pre-incubate antibody with immunizing peptide)
Compare Western blot patterns with predicted molecular weight
Confirm single band at expected size in Arabidopsis samples
Mass spectrometry validation:
Immunoprecipitate using At1g31080 antibody
Analyze precipitated proteins by mass spectrometry
Confirm presence of At1g31080 peptides
Assess presence of potentially cross-reacting proteins
Recombinant protein control:
Express tagged recombinant At1g31080 protein
Perform parallel detection with At1g31080 antibody and tag-specific antibody
Verify co-localization of signals
When comparing methodological approaches:
| Aspect | At1g31080 Antibody | Actin Antibody | Other Plant Protein Antibodies |
|---|---|---|---|
| Species specificity | Arabidopsis-specific | Broad cross-reactivity across plant species | Variable depending on conservation |
| Typical dilution range | 1:3000-1:5000 for WB | 1:3000-1:5000 for WB | Application-specific |
| Optimal blocking | 2-5% milk/BSA in TBS-T | 2-4% milk in TBS-T | Protein-dependent |
| Sample preparation | Standard SDS extraction | Standard SDS extraction | May require specialized buffers |
| Applications | ELISA, WB | WB, IF, ExM | Variable |
| Control availability | Limited knockout resources | Widely available controls | Depends on research history |
This comparison helps researchers adapt protocols from well-established antibodies when working with less-characterized ones like At1g31080 .
For robust protein interaction studies:
Experimental design hierarchy:
Begin with in silico prediction of interaction partners
Perform co-immunoprecipitation with At1g31080 antibody
Validate with orthogonal methods (Y2H, BiFC, FRET)
Confirm biological relevance with functional assays
Buffer optimization critical factors:
Salt concentration affects interaction strength (150-300 mM NaCl typical)
Detergent type and concentration preserves interactions while solubilizing membranes
pH conditions should mimic cellular compartment of interest
Divalent cations (Mg²⁺, Ca²⁺) may be required for certain interactions
Control experimental design:
Include non-specific IgG precipitation control
Use protein extract from knockout/knockdown lines
Perform reverse co-IP with antibodies against putative partners
Include RNase/DNase treatment to eliminate nucleic acid-mediated interactions
Quantitative analysis approach:
Use quantitative proteomics with isotope labeling
Calculate enrichment ratios relative to control IPs
Apply statistical thresholds for significance
Validate top candidates individually
These methodological considerations ensure identification of genuine interaction partners while minimizing false positives .
Advanced methodological approaches include:
Single-domain antibody development:
Generate camelid-derived nanobodies against At1g31080
Advantages include smaller size for tissue penetration and epitope access
Can be expressed as intrabodies for in vivo studies
Methodology involves immunization, phage display, and recombinant expression
AI-assisted antibody engineering:
Apply computational protein design to optimize At1g31080 antibodies
Machine learning models like MAGE (Monoclonal Antibody GEnerator) can generate paired heavy-light chain sequences
Requires only antigen sequence input
Can improve specificity and reduce cross-reactivity
Proximity-dependent labeling applications:
Fusion of TurboID or APEX2 to At1g31080
Enables identification of proximal proteins in native context
Complements traditional antibody-based interaction studies
Provides spatial and temporal resolution of protein neighborhoods
These emerging technologies expand the methodological toolkit for studying At1g31080 protein function and interactions in plant systems .
For robust stress response studies:
Experimental design framework:
Include appropriate time course (immediate, short-term, long-term responses)
Apply graduated stress intensities to identify thresholds
Compare multiple stress types (drought, salt, heat, pathogen)
Include recovery phase to assess reversibility
Sample preparation optimization:
Harvest tissues at consistent time of day (control for circadian effects)
Flash-freeze samples immediately to preserve modification state
Extract in phosphatase/protease inhibitor-containing buffers
Process all samples simultaneously to minimize batch effects
Analytical approach:
Quantify both total protein (standard Western blot) and modified forms
Perform subcellular fractionation to detect translocation events
Compare transcript and protein levels to identify post-transcriptional regulation
Use phospho-specific antibodies if phosphorylation sites are known
Genetic approach integration:
Compare wild-type, knockout, and overexpression lines
Assess phenotypic differences under stress conditions
Perform transcriptome analysis to identify affected pathways
Use complementation studies to confirm functional relationships
This comprehensive approach allows researchers to determine the role of At1g31080 in stress responses with methodological rigor .
For reproducible research reporting:
Essential antibody information to include:
Complete antibody identifier (catalog number, clone, lot)
Host species and clonality
Immunogen details (full sequence if available)
Supplier and validation performed
RRID (Research Resource Identifier) if available
Methodological details to report:
Exact dilutions used for each application
Incubation conditions (time, temperature, buffer composition)
Detection method specifications (secondary antibody, visualization system)
Image acquisition parameters
Quantification methods with statistical analysis
Validation data to include:
Positive and negative control results
Full blot images with molecular weight markers
Specificity controls (peptide competition, genetic validation)
Representative images showing subcellular localization
These reporting standards ensure experimental reproducibility and proper evaluation of research findings involving At1g31080 antibody .
Key methodological priorities include:
Development of comprehensive validation resources:
Generation and characterization of knockout/knockdown lines
Production of epitope-tagged transgenic lines
Creation of phospho-specific antibodies if phosphorylation sites are identified
Establishment of standardized protocols specific to At1g31080
Integration with emerging technologies:
Application of proximity labeling approaches (BioID, APEX)
Implementation of super-resolution microscopy techniques
Development of CRISPR-based tools for endogenous tagging
Application of quantitative proteomics for interaction studies
Functional characterization priorities:
Systematic phenotypic analysis under various conditions
Determination of subcellular localization and dynamics
Identification of post-translational modifications
Elucidation of protein-protein interaction networks