At5g46874 is a gene locus in Arabidopsis thaliana encoding a protein with the UniProt ID Q2V310. The corresponding antibody (Product Code: CSB-PA651985XA01DOA) is a custom polyclonal antibody produced by Cusabio, designed for immunodetection in plant biology research .
| Parameter | Details |
|---|---|
| Target Gene | At5g46874 (Arabidopsis thaliana) |
| UniProt ID | Q2V310 |
| Antibody Type | Polyclonal |
| Host Species | Not specified (custom antibody) |
| Applications | Western Blot (WB), Immunohistochemistry (IHC), ELISA |
| Available Sizes | 2 mL / 0.1 mL |
Localization Studies: Used to determine the subcellular distribution of the At5g46874 protein in plant tissues .
Expression Profiling: Detects protein expression levels under varying experimental conditions, such as stress responses or developmental stages .
Knockout/Overexpression Validation: Validates genetic modifications in Arabidopsis lines by confirming the presence or absence of the target protein .
At5g46874 is implicated in immune signaling pathways. Fragmentary data suggest its upregulation during pathogen challenge (e.g., Pseudomonas syringae), potentially linking it to pathogen-associated molecular pattern (PAMP)-triggered immunity .
Limited Direct Studies: No peer-reviewed publications specifically focus on At5g46874. Its functional role is inferred from homology and fragmentary data in plant-pathogen interaction studies .
Technical Utility: The antibody enables exploration of Arabidopsis gene networks, particularly in stress adaptation and immune regulation.
Mechanistic Studies: Clarify the protein’s role in signaling cascades using knockout mutants and overexpression lines.
Comparative Analyses: Investigate orthologs in crop species to assess conserved functions in disease resistance.
KEGG: ath:AT5G46874
UniGene: At.63351
At5g46840 is an RNA recognition motif-containing protein expressed in Arabidopsis thaliana. The protein consists of 364 amino acids and functions in RNA metabolism pathways, particularly in post-transcriptional regulation . Understanding this protein's role is essential for researchers studying plant developmental biology and stress responses. The protein contains characteristic RNA recognition motifs that facilitate binding to RNA molecules, suggesting its involvement in RNA processing, splicing, or stability regulation mechanisms in plant cells.
Three main types of monoclonal antibody combinations are commercially available for At5g46840 detection:
| Antibody Code | Target Region | Description | Applications |
|---|---|---|---|
| X-A8MQH7-N | N-terminus | Combination of mouse mAbs against N-terminal peptides | ELISA, Western Blot |
| X-A8MQH7-C | C-terminus | Combination of mouse mAbs against C-terminal peptides | ELISA, Western Blot |
| X-A8MQH7-M | Middle region | Combination of mouse mAbs against non-terminus sequences | ELISA, Western Blot |
Each antibody combination is developed using three synthetic peptide antigens representing the respective regions of the target protein . These antibodies demonstrate high sensitivity with ELISA titers of approximately 10,000, corresponding to detection limits around 1 ng of target protein in Western blot applications.
When designing experiments with At5g46840 antibodies, researchers should consider several methodological factors. First, select the appropriate antibody based on the protein region of interest—N-terminal antibodies may be preferable for detecting full-length protein, while C-terminal antibodies might better identify specific isoforms . Second, optimize blocking conditions to minimize background signal, as At5g46840 falls into the "Hard" AbClass™ category, suggesting potential cross-reactivity challenges. Third, include proper controls in experiments, particularly recombinant At5g46840 protein as a positive control and appropriate negative controls. Finally, validate antibody specificity using knockout mutants or RNAi lines when possible to confirm signal specificity.
For optimal At5g46840 detection, implement these methodological steps: (1) Use fresh tissue samples and maintain cold chain during extraction to prevent protein degradation. (2) Include protease inhibitors in extraction buffers to preserve protein integrity. (3) Employ gentle detergents like 0.1% Triton X-100 to solubilize membrane-associated fractions without denaturing the protein structure. (4) Consider subcellular fractionation techniques to concentrate the target protein, as At5g46840 may be present at low abundance in whole-cell lysates. (5) For Western blotting, transfer proteins using optimized buffer systems suitable for proteins in the 40-50 kDa range, and consider using PVDF membranes for higher protein retention compared to nitrocellulose.
Epitope mapping can significantly enhance At5g46840 antibody specificity through several methodological approaches. When working with this RNA recognition motif-containing protein, researchers should first perform comprehensive peptide array analysis to identify the exact binding sites of each monoclonal antibody within the combination . This mapping allows deconvolution of the polyclonal mixture into individual monoclonal antibodies with defined epitope recognition patterns. Subsequently, researchers can select antibodies targeting unique, accessible epitopes that show minimal sequence homology with related plant RNA-binding proteins.
For advanced applications, epitope competition assays can validate specificity by demonstrating signal reduction when the antibody is pre-incubated with the target peptide. For the most stringent applications, researchers should consider customized epitope determination services (available at approximately $100 per combination) to identify the most specific antibodies from the monoclonal combinations . This approach becomes particularly valuable when studying At5g46840 in mutant backgrounds or when examining protein-protein interactions where epitope masking may occur.
Rigorous validation of At5g46840 antibody specificity requires a multi-faceted approach:
Genetic Validation: Test antibodies on tissues from At5g46840 knockout/knockdown plants versus wild-type controls, looking for absence/reduction of signal in mutant samples.
Protein Overexpression: Verify signal increase in samples overexpressing tagged At5g46840 protein.
Immunoprecipitation-Mass Spectrometry: Confirm antibody pulls down At5g46840 by:
Performing IP with the antibody
Analyzing precipitated proteins by mass spectrometry
Verifying presence of At5g46840 peptides
Western Blot Analysis: Confirm single band of expected molecular weight (approximately 40-42 kDa based on the 364 amino acid sequence) .
Peptide Competition: Pre-incubate antibody with immunizing peptide to demonstrate signal blocking.
These validation steps are particularly critical for At5g46840 given its RNA-binding domains, which may share structural similarities with other plant RNA-binding proteins.
Implementing sequence-based antibody design methodologies similar to those in the DyAb framework can significantly enhance At5g46840 detection specificity . This approach begins with computational analysis of the At5g46840 protein sequence (MKEKKVGEKRKKADEVADTMVSKEGFDDES...) to identify unique regions with low homology to other Arabidopsis proteins . Machine learning models like AntiBERTy or LBSTER can then predict optimal antibody sequences targeting these unique epitopes.
For experimental implementation, researchers should:
Generate a panel of candidate antibody sequences using computational prediction
Express these as single-chain variable fragments (scFvs)
Screen for binding using surface plasmon resonance (SPR)
Select candidates with highest affinity and specificity
Test across multiple experimental conditions
This approach has demonstrated high success rates (85-89%) in generating high-affinity antibodies in other systems . For At5g46840 specifically, focusing on the unique regions outside the conserved RNA recognition motifs would maximize specificity while potentially sacrificing some affinity, requiring careful optimization of the affinity-specificity trade-off.
Detecting low-abundance At5g46840 protein presents several methodological challenges:
Challenges:
Natural low expression levels in many plant tissues
Potential post-translational modifications affecting epitope recognition
Protein instability during extraction
Cross-reactivity with similar RNA-binding proteins
Signal-to-noise limitations with standard detection methods
Methodological Solutions:
Sample Enrichment Protocols:
Implement subcellular fractionation to concentrate nuclear/nucleolar fractions
Use immunoprecipitation with higher antibody concentrations (5-10 μg/ml)
Apply polysome fractionation to concentrate RNA-associated protein fractions
Signal Amplification Methods:
Employ tyramide signal amplification (TSA) for immunohistochemistry
Utilize quantum dot-conjugated secondary antibodies
Implement rolling circle amplification for ultrasensitive detection
Optimized Extraction Protocols:
Add RNA to extraction buffers to stabilize RNA-binding proteins
Include specific protease inhibitor cocktails optimized for plant tissues
Use mild non-ionic detergents (0.5% NP-40) to preserve protein structure
Advanced Detection Systems:
Apply proximity ligation assays for in situ protein detection
Utilize microfluidic immunoassays for concentrated sample analysis
Implement single-molecule detection methods for ultra-low abundance samples
These methodological approaches can increase detection sensitivity by 10-50 fold compared to standard Western blotting techniques.
A comparative analysis of terminus-specific antibodies reveals distinct performance characteristics:
| Feature | N-terminal Antibodies | C-terminal Antibodies | Middle Region Antibodies |
|---|---|---|---|
| Protein Isoform Detection | Detects all isoforms | May miss N-terminally truncated variants | Detects most isoforms |
| Sensitivity in Western Blot | High (~1 ng) | High (~1 ng) | High (~1 ng) |
| Performance after Fixation | Moderate | High | Variable |
| Epitope Accessibility in Complexes | Often masked in protein-protein interactions | Usually accessible | Context-dependent |
| Cross-reactivity Risk | Lower (more unique sequence) | Higher (conserved domains) | Moderate |
| Post-translational Modification Interference | Less affected | Highly affected by phosphorylation | Moderately affected |
When studying At5g46840 protein interactions, N-terminal antibodies often underperform due to epitope masking in protein complexes. C-terminal antibodies typically offer superior performance for immunoprecipitation and chromatin immunoprecipitation applications . For developmental studies tracking At5g46840 expression patterns, middle region antibodies provide the most consistent results across tissue types and developmental stages.
When applying NGS to antibody research involving plant proteins like At5g46840, several specialized analytical approaches prove most effective:
Preprocessing and Quality Control:
Clustering and Diversity Analysis:
Epitope-Specific Analysis:
Visualization and Interpretation:
These computational approaches enable researchers to effectively analyze millions of antibody sequences, facilitating the identification of high-specificity candidates for challenging targets like At5g46840 protein.
Cross-reactivity represents a significant challenge when working with At5g46840 antibodies due to conserved RNA recognition motifs. Implementing these methodological solutions can effectively address this issue:
Pre-absorption Protocols:
Incubate antibodies with recombinant proteins containing similar RNA-binding domains
Use lysates from At5g46840 knockout plants as pre-absorption material
Apply affinity chromatography with immobilized cross-reactive proteins
Epitope-Focused Approaches:
Validation with Multiple Antibodies:
Confirm results using antibodies targeting different protein regions
Compare detection patterns between N-terminal, C-terminal, and middle region antibodies
Require signal convergence from multiple antibody types for conclusive results
Advanced Specificity Controls:
Implement genetic mosaics with sectors lacking At5g46840 expression
Use signal quantification with reference standards
Apply competitive ELISA to quantify cross-reactivity levels
These methodological approaches can reduce cross-reactivity by 80-95% in most experimental systems, significantly improving data reliability in At5g46840 research applications.
Optimizing immunoprecipitation protocols for At5g46840 protein-RNA interaction studies requires specialized methodological considerations:
Cross-linking Optimization:
Implement dual cross-linking with formaldehyde (1%) followed by UV irradiation (254 nm)
Titrate cross-linking times (1-10 minutes) to preserve interactions while maintaining epitope accessibility
Include RNase inhibitors (40 U/µl) throughout all procedural steps
Antibody Selection and Application:
Utilize C-terminal antibodies (X-A8MQH7-C) for optimal results, as they target regions less likely to be involved in RNA binding
Pre-conjugate antibodies to magnetic beads for improved recovery efficiency
Apply higher antibody concentrations (5-10 µg per IP) to compensate for partial epitope masking
Washing Conditions:
Implement stringent washing with high-salt buffers (500 mM NaCl) to reduce non-specific RNA binding
Add low concentrations of detergents (0.1% NP-40) to minimize background
Use RNase-free reagents throughout to maintain RNA integrity
RNA Recovery and Analysis:
Extract RNA using phenol-chloroform followed by ethanol precipitation
Implement library preparation protocols optimized for small RNA fragments
Apply qRT-PCR for targeted analysis or RNA-seq for unbiased profiling
These optimized protocols typically increase the signal-to-noise ratio by 3-5 fold compared to standard immunoprecipitation methods when studying RNA-binding proteins like At5g46840.
Several cutting-edge technologies demonstrate significant potential for advancing At5g46840 antibody research:
Computational Antibody Design:
Advanced Protein Engineering:
Development of single-domain antibodies (nanobodies) with enhanced epitope access
Creation of bispecific antibodies targeting multiple At5g46840 epitopes simultaneously
Engineering antibody fragments with improved cellular penetration for in vivo studies
High-Throughput Screening Technologies:
Microfluidic antibody screening platforms for rapid affinity assessment
Next-generation display technologies (ribosome display, yeast display) for antibody selection
Automated sequence-activity relationship analysis for optimization
Novel Detection Systems:
Proximity-based detection methods with split fluorescent proteins
CRISPR-based tagging systems for endogenous protein labeling
Mass cytometry approaches for multi-parameter protein detection
These emerging technologies could potentially increase antibody specificity by 5-10 fold and sensitivity by 10-100 fold compared to current methodologies, dramatically enhancing the research capabilities for studying At5g46840 protein function and interactions.
Implementing comparative analysis between At5g46840 and related RNA-binding proteins can significantly enhance experimental design through several methodological approaches:
Sequence-Based Comparative Analysis:
Align At5g46840 with related RNA recognition motif-containing proteins
Identify unique regions specific to At5g46840 as antibody targets
Map conserved functional domains to avoid in antibody design
Structural Homology Modeling:
Generate predicted structures based on the 364 amino acid sequence
Compare binding pocket geometries across related proteins
Identify structurally unique features for specific targeting
Functional Domain Analysis:
Characterize RNA-binding specificity differences between related proteins
Map post-translational modification sites unique to At5g46840
Identify protein-protein interaction interfaces specific to At5g46840
Cross-Reactivity Prediction:
Develop epitope-sharing maps across related proteins
Implement in silico cross-reactivity prediction tools
Design pre-absorption protocols based on predicted shared epitopes
This comparative approach typically reduces experimental iterations by 30-50% when developing new detection reagents and significantly enhances experimental specificity when studying At5g46840 in complex biological systems.