At5g35735 is a protein-coding gene in Arabidopsis thaliana (Mouse-ear cress) with UniProt accession number Q9FKH6 . Based on current research, this protein appears to be involved in cellular regulatory networks that mediate plant responses to pathogen infection. The protein may function within signal transduction pathways that are activated during host-pathogen interactions, potentially contributing to the plant's defense mechanisms against pathogens such as Salmonella . The specific molecular function involves protein-protein interactions within larger regulatory networks that influence gene expression patterns during infection processes.
Multiple approaches can be employed to study At5g35735 protein expression:
Western blotting: Using the At5g35735 antibody (e.g., CSB-PA194840XA01DOA) for protein detection in tissue extracts
Immunohistochemistry: For localization studies in plant tissues
Protein interaction studies: Including co-immunoprecipitation and pull-down assays
Protein-DNA interaction analysis: For investigating potential transcription factor activity
When selecting detection methods, researchers should consider the cellular localization of At5g35735 and potential cross-reactivity with related proteins in Arabidopsis.
Current research suggests At5g35735 may participate in signaling networks activated during pathogen response. Similar to other proteins identified in Salmonella infection studies, At5g35735 could be part of the complex interplay between various biomolecules regulating cellular behavior during infection . The protein may function within cascades that ultimately influence transcription factor activity and the expression of defense-related genes. Understanding its role requires integration with broader studies of plant immunity pathways and transcriptional regulation networks.
At5g35735 antibodies enable sophisticated research approaches for investigating host-pathogen interactions:
Signal transduction analysis: Track changes in At5g35735 protein levels during different stages of infection using quantitative Western blotting
Protein complex identification: Use antibody-based affinity purification followed by mass spectrometry to identify interaction partners during infection
Pathogen-induced relocalization: Employ immunolocalization to detect potential changes in At5g35735 cellular distribution following pathogen exposure
Chromatin dynamics: If At5g35735 functions as a transcription factor, ChIP (Chromatin Immunoprecipitation) assays can map its DNA binding sites during infection
These approaches can be integrated into systems biology frameworks similar to those used in SDREM (Signaling and Dynamic Regulatory Events Miner) analyses of Arabidopsis responses to Salmonella infection .
Research on host-pathogen interactions suggests At5g35735 could function as a master regulator (MR) within transcriptional networks activated during infection. Similar transcription factors identified in Arabidopsis have been shown to regulate gene clusters with similar expression profiles in response to Salmonella infection . To investigate this:
Compare At5g35735 binding domains with known transcription factors
Analyze DNA-binding motifs and potential target genes
Correlate At5g35735 expression with gene clusters showing similar expression patterns during infection
Validate direct regulatory relationships through ChIP-seq or similar approaches
The protein might function similarly to transcription factors identified in STEM (Short Time-series Expression Miner) clusters during Salmonella infection, coordinating expression of defense-related genes .
When studying At5g35735, researchers should consider its relationship to other Arabidopsis proteins:
| Related Protein | UniProt ID | Functional Similarity | Structural Similarity | Cross-reactivity Potential |
|---|---|---|---|---|
| At5g35200 | Q9LHS0 | Moderate | To be determined | Possible |
| At1g29570 | Q9C7P4 | Low | To be determined | Low |
| At3g63550 | E0X9N4 | Unknown | To be determined | Unknown |
| At3g48440 | Q9STM4 | Unknown | To be determined | Low |
This comparative approach is important for validating antibody specificity and for contextualizing At5g35735 function within larger protein families or functional groups .
When designing experiments with At5g35735 antibodies, consider these methodological recommendations:
For Western blotting:
Sample preparation: Extract proteins using buffer containing 50mM Tris-HCl (pH 7.5), 150mM NaCl, 1% NP-40, and protease inhibitors
Protein separation: Use 10-12% SDS-PAGE gels
Transfer conditions: 100V for 60-90 minutes using PVDF membrane
Blocking: 5% non-fat milk in TBST for 1 hour at room temperature
Primary antibody: Dilute At5g35735 antibody 1:1000 in blocking solution
Detection: Use HRP-conjugated secondary antibody and ECL detection system
For immunolocalization:
Fixation: 4% paraformaldehyde in PBS for 20 minutes
Permeabilization: 0.1% Triton X-100 for 10 minutes
Blocking: 2% BSA in PBS for 30 minutes
Primary antibody: Incubate with At5g35735 antibody (1:500) overnight at 4°C
Visualization: Fluorophore-conjugated secondary antibody with appropriate filters
Always include positive and negative controls, and validate antibody specificity using knockout lines or competing peptides when available.
Antibody validation is crucial for generating reliable data. Implement these validation strategies:
Genetic controls: Compare antibody signal between wild-type and At5g35735 knockout/knockdown plants
Peptide competition: Pre-incubate antibody with immunizing peptide to confirm signal specificity
Cross-species validation: Test reactivity against homologous proteins from related plant species
Multiple antibody validation: Use two different At5g35735 antibodies targeting different epitopes
Correlation with mRNA expression: Compare protein detection with transcript levels from RNA-seq or qPCR
Document validation results thoroughly to establish confidence in experimental findings and address potential reviewer concerns.
Modern high-throughput experiments can incorporate At5g35735 antibodies in several ways:
Protein microarrays: For analyzing interactions with other proteins or potential ligands
Single-cell protein analysis: Combining with flow cytometry for cell-specific expression patterns
Temporal proteomics: Tracking At5g35735 dynamics during infection progression
Multi-omics integration: Correlating antibody-detected protein levels with transcriptomics and metabolomics data
These approaches align with integrated technology pipelines similar to those used for accelerated discovery of antiviral antibodies , providing comprehensive insights into At5g35735 function in complex biological contexts.
Researchers frequently encounter these challenges when working with plant antibodies like At5g35735:
| Challenge | Possible Causes | Solutions |
|---|---|---|
| Weak or no signal | Insufficient protein, antibody degradation, inadequate exposure | Optimize protein extraction, use fresh antibody, increase exposure time |
| High background | Insufficient blocking, excessive antibody concentration, non-specific binding | Optimize blocking conditions, titrate antibody, include additional washes |
| Multiple bands | Cross-reactivity, protein degradation, post-translational modifications | Validate with competing peptide, add protease inhibitors, analyze with phospho-specific antibodies |
| Inconsistent results | Variable expression levels, sample preparation issues | Standardize sample collection, include loading controls, normalize to housekeeping proteins |
When troubleshooting, systematically modify one variable at a time and document all changes to experimental conditions.
Discrepancies between protein and mRNA levels are common in biological systems and may reveal important regulatory mechanisms:
Post-transcriptional regulation: Investigate microRNA targeting, RNA binding proteins, or mRNA stability factors
Translational control: Examine potential regulation at the translation level
Protein stability: Assess post-translational modifications or proteasomal degradation pathways
Temporal dynamics: Consider time-lag between transcription and translation
Technical artifacts: Rule out antibody cross-reactivity or primer specificity issues
These discrepancies may be particularly informative when studying stress responses like pathogen infection, where regulatory networks often involve multiple layers of control .
When analyzing At5g35735 in pathogen response networks, consider these analytical frameworks:
Network position analysis: Identify whether At5g35735 functions as a hub, bottleneck, or peripheral component in protein interaction networks
Temporal dynamics: Track expression changes across infection time-course, comparing with known defense response markers
Comparative analysis: Contrast responses between different pathogen types (e.g., Salmonella WT vs. prgH-)
Pathway enrichment: Determine which signaling pathways are statistically associated with At5g35735 regulation
Cross-species comparisons: Compare with homologous proteins in other plant systems to identify conserved defense mechanisms
Integration with computational models such as those used in signal transduction analysis can reveal master regulators and key network components in specific infection contexts .
Future research using At5g35735 antibodies may explore:
Single-cell resolution studies: Examining cell-type specific expression during infection
Structural biology integration: Combining antibody-based detection with structural analyses
Systems biology approaches: Positioning At5g35735 within larger regulatory networks
Comparative plant immunity: Analyzing homologs across plant species for evolutionary insights
Targeted protein engineering: Modifying At5g35735 function based on antibody-derived structural information
These directions align with broader trends in plant immunity research and may yield insights into fundamental biological processes governing plant-pathogen interactions .
When evaluating new At5g35735 antibodies for specific applications, researchers should:
Request validation data from manufacturers
Conduct preliminary tests comparing multiple antibodies under identical conditions
Validate using knockout/knockdown plants as negative controls
Optimize protocols specifically for the intended application
Document batch variation and establish quality control metrics
Remember that antibody performance can vary significantly between applications (Western blotting vs. immunoprecipitation vs. immunofluorescence), necessitating application-specific validation protocols.