KEGG: ath:AT3G61177
STRING: 3702.AT3G61177.1
LCR53 is a protein found in Arabidopsis thaliana (Mouse-ear cress), identified by UniProt number P82767. While detailed functional information is limited in current literature, this protein is part of the plant's proteome and studying it may provide insights into plant development, stress responses, or signaling pathways. The LCR53 antibody enables detection and characterization of this protein in various experimental contexts, advancing our understanding of plant biology .
The LCR53 Antibody (CSB-PA306001XA01DOA) has been validated for Enzyme-Linked Immunosorbent Assay (ELISA) and Western Blot (WB) applications. These techniques allow for both qualitative and quantitative analysis of LCR53 protein in plant tissue extracts. When designing experiments, researchers should consider that each application requires specific optimization parameters including antibody dilution, incubation time, and detection systems .
For optimal antibody performance, store LCR53 Antibody at -20°C or -80°C immediately upon receipt. The antibody is supplied in liquid form with a preservation buffer containing 0.03% Proclin 300, 50% Glycerol, and 0.01M PBS at pH 7.4. Critically, repeated freeze-thaw cycles should be avoided as they can significantly compromise antibody functionality and specificity. Consider aliquoting the antibody upon first thaw to minimize future freeze-thaw events .
Determining the optimal working dilution for LCR53 Antibody requires systematic titration experiments:
Prepare a dilution series (e.g., 1:500, 1:1000, 1:2000, 1:5000) of the antibody
Test each dilution against positive control samples (Arabidopsis thaliana tissues known to express LCR53)
Evaluate signal-to-noise ratio, specificity, and background for each dilution
Select the dilution that provides optimal specific signal with minimal background
This optimization is essential as suboptimal antibody concentrations can result in either excessive background (too concentrated) or insufficient signal (too dilute), both compromising experimental interpretation .
When designing experiments using LCR53 Antibody, include these critical controls:
Positive control: Wild-type Arabidopsis thaliana tissue sample known to express LCR53
Negative control: Either LCR53 knockout/knockdown lines or tissues where LCR53 is not expressed
Technical control: Primary antibody omission to assess secondary antibody specificity
Loading control: Detection of a constitutively expressed plant protein (e.g., actin, tubulin) for normalization
These controls help validate experimental results and facilitate troubleshooting of technical issues that may arise during antibody-based detection .
Optimal sample preparation is crucial for successful detection of LCR53 in plant tissues:
Tissue Type | Recommended Extraction Buffer | Critical Considerations |
---|---|---|
Leaf tissue | 50mM Tris-HCl (pH 7.5), 150mM NaCl, 1% Triton X-100, protease inhibitor cocktail | Add PVPP to remove phenolic compounds |
Root tissue | 50mM HEPES (pH 7.5), 250mM sucrose, 15mM MgCl₂, 1% Triton X-100, protease inhibitors | More extensive homogenization required |
Seed tissue | 100mM Tris-HCl (pH 8.0), 100mM NaCl, 5% SDS, 5mM DTT, protease inhibitors | Pre-process to remove oils and storage compounds |
For all tissue types, maintain sample integrity by flash-freezing in liquid nitrogen immediately after collection and performing all extraction steps at 4°C with appropriate protease inhibitors to prevent protein degradation .
When encountering weak or no signal with LCR53 Antibody in Western blots, implement this systematic troubleshooting approach:
Verify protein extraction efficiency using a total protein stain (Ponceau S or Coomassie)
Increase antibody concentration incrementally (e.g., from 1:1000 to 1:500)
Extend primary antibody incubation time (overnight at 4°C)
Optimize blocking conditions (test different blocking agents: 5% BSA vs. 5% non-fat milk)
Enhance detection sensitivity by using a more sensitive chemiluminescent substrate
Assess protein loading (increase if expression levels are low)
Evaluate transfer efficiency, particularly for proteins with challenging molecular weights
Documenting each troubleshooting step will help establish optimal protocols for consistent LCR53 detection .
Non-specific binding can compromise experimental interpretation. Address this issue through:
Optimize blocking: Increase blocking agent concentration (5-10% BSA or non-fat milk) or extend blocking time
Modify washing conditions: Increase wash buffer stringency with higher detergent concentration (0.1-0.3% Tween-20)
Pre-absorb antibody: Incubate diluted antibody with negative control lysate before application to experimental samples
Adjust antibody dilution: Higher dilutions may reduce non-specific interactions
Evaluate secondary antibody: Test alternative secondary antibodies or increase dilution
These approaches should be systematically tested to determine which provides optimal specific signal while minimizing background .
Rigorous antibody validation is essential for reliable research outcomes. For LCR53 Antibody, implement these validation strategies:
Genetic approach: Compare antibody reactivity between wild-type and LCR53 knockout/knockdown Arabidopsis lines
Peptide competition assay: Pre-incubate antibody with excess immunizing peptide to block specific binding
Molecular weight verification: Confirm detection at the expected molecular weight for LCR53
Multiple detection methods: Verify consistent results across different techniques (WB, ELISA)
Recombinant protein control: Test antibody against purified recombinant LCR53 protein
These validation steps should be documented in publications to demonstrate antibody specificity and reliability .
While the datasheet indicates validation for ELISA and Western blot applications, researchers may adapt LCR53 Antibody for immunoprecipitation (IP) with appropriate optimization:
Buffer optimization: Test different lysis buffers to maintain native protein conformation while ensuring antibody accessibility
Antibody immobilization: Compare protein A/G beads vs. direct antibody conjugation to solid support
Cross-linking consideration: Determine whether chemical cross-linking improves complex stability
Controls: Include IgG-only control, input control, and ideally negative control from knockout/knockdown line
Elution conditions: Optimize to maximize recovery while minimizing antibody contamination
Success in IP applications requires extensive optimization as this is not among the manufacturer's validated applications .
Post-translational modifications (PTMs) can significantly impact protein function. To investigate LCR53 PTMs:
Gel mobility analysis: Compare migration patterns under various conditions:
Standard vs. Phos-tag gels for phosphorylation detection
Treatment with phosphatases, glycosidases, or other modification-removing enzymes
Mass spectrometry approach:
Immunoprecipitate LCR53 using the antibody
Perform tryptic digestion followed by LC-MS/MS analysis
Search for mass shifts indicating specific modifications
Modification-specific antibodies:
Use antibodies against common PTMs (phospho-Ser/Thr/Tyr, ubiquitin, SUMO) in conjunction with LCR53 antibody
Compare patterns across different physiological conditions or treatments
These approaches provide complementary information about potential regulatory mechanisms affecting LCR53 function .
The LCR53 Antibody was developed against Arabidopsis thaliana protein, but researchers may consider cross-species applications with these important considerations:
Sequence conservation analysis:
Perform bioinformatic analysis to identify LCR53 homologs in target species
Evaluate sequence conservation specifically in the immunogen region
Higher sequence identity increases likelihood of cross-reactivity
Experimental validation steps:
Run parallel Western blots with Arabidopsis samples as positive controls
Verify detection at the expected molecular weight
Consider epitope mapping to confirm binding to the conserved region
Optimization requirements:
Higher antibody concentrations may be needed for cross-species detection
More stringent validation controls are necessary when working across species
Cross-species reactivity must be experimentally verified rather than assumed based solely on sequence similarity .
Discrepancies between protein and transcript levels are common in biological systems and may reveal important regulatory mechanisms:
Verify technical aspects:
Confirm antibody specificity using appropriate controls
Validate quantification methods for both protein and transcript
Consider biological explanations:
Post-transcriptional regulation (miRNA, RNA stability)
Translational efficiency (ribosome occupancy)
Protein stability and turnover rates
Protein localization or compartmentalization effects
Experimental approaches to resolve discrepancies:
Time-course studies to detect temporal delays between transcription and translation
Polysome profiling to assess translation efficiency
Protein half-life determination using cycloheximide chase experiments
Subcellular fractionation to identify compartment-specific accumulation
Understanding these multi-layered regulatory mechanisms provides deeper insights into LCR53 biology beyond transcriptional control .
As plant biology methodologies advance, consider these innovative applications for LCR53 Antibody:
Single-cell protein analysis:
Adaptation for flow cytometry or mass cytometry (CyTOF) with plant protoplasts
Integration with single-cell Western blot technologies
Spatial biology approaches:
Optimization for multiplexed immunofluorescence to study co-localization
Application in spatial transcriptomics-proteomics correlative studies
High-throughput screening:
Development of LCR53-based biosensors for dynamic studies
Adaptation for automated immunoassay platforms
In situ structural studies:
Proximity labeling approaches (BioID, APEX) using LCR53 antibody
Correlation with emerging plant structural biology techniques
These innovative applications could expand our understanding of LCR53's role in plant biology beyond current methodologies .
Integration of antibody-based protein data with other omics approaches requires careful consideration:
Data normalization strategies:
Develop appropriate normalization methods to compare across platforms
Account for differences in dynamic range between techniques
Temporal alignment:
Consider time delays between transcriptional, translational, and post-translational events
Design time-course experiments with appropriate sampling intervals
Computational integration approaches:
Apply machine learning or network analysis for multi-omics data integration
Develop causal network models that incorporate protein-level data
Validation requirements:
Establish orthogonal validation approaches for key findings
Apply targeted experiments to verify predicted interactions or functions
This integrated approach can place LCR53 within broader molecular networks and biological processes in plants .