The At1g15890 gene encodes a protein implicated in chromatin organization and stress response pathways. Key characteristics include:
Mutant Studies:
At1g15890 expression is significantly altered in adf4 and ADF1-4Ri mutants, which exhibit decondensed chromocenters. This suggests a role in maintaining heterochromatin structure .
Nuclear morphology changes in these mutants correlate with dysregulation of genes encoding nucleotide-binding leucine-rich repeat (NLR) proteins, though At1g15890 itself is not an NLR .
Interaction with GNC/GNL:
AP3/PI Pathway:
While no studies directly describe the antibody's validation, its utility can be inferred from related work:
Antibody Validation: Current literature lacks explicit details on antibody specificity or epitope mapping. Future studies should include Western blotting or immunoprecipitation data.
Functional Links: The gene’s role in stress responses remains underexplored. Antibody-based assays could clarify its interaction with NLR proteins or pathogen response pathways .
At1g15890 is a probable disease resistance protein first identified in Arabidopsis thaliana and also found in other plant species like Beta vulgaris subsp. vulgaris (sugar beet) . It belongs to the nucleotide-binding-leucine-rich repeat (NLR) family of proteins that play crucial roles in plant immune systems . These resistance proteins function as immune receptors that recognize pathogen effectors and trigger defense responses. Research on At1g15890 is significant for understanding fundamental plant immunity mechanisms, potentially leading to improved crop disease resistance strategies.
For studying At1g15890 expression patterns, a multi-method approach yields the most comprehensive results:
Quantitative RT-PCR: Enables precise quantification of At1g15890 transcript levels under various conditions
Microarray analysis: Provides broader context by allowing comparison of At1g15890 expression with other genes
RNA-Seq: Offers high sensitivity for detecting expression changes across different tissues and treatments
GFP fusion proteins: Allow visualization of protein localization and dynamics in living cells
When designing experiments, consider that expression of resistance genes like At1g15890 can vary significantly based on developmental stage, tissue type, and stress conditions. Analysis should include appropriate reference genes and biological replicates (minimum n=3) for statistical validation .
At1g15890 functions within a complex network of disease resistance mechanisms. Research indicates that NLR proteins like At1g15890 can interact with:
Signaling hubs: May associate with helper NLRs like ADR1 homologs (ADR1, ADR1-L1, ADR1-L2) or NRG1 homologs that transduce defense signals
Actin cytoskeleton components: Evidence suggests connection with actin depolymerizing factors (ADFs), which affect nuclear organization and subsequently gene expression of resistance pathways
Transcriptional networks: Influences expression of other defense-related genes as demonstrated by microarray analyses of ADF mutants, which showed altered expression of multiple NLR genes
These interactions create a sophisticated surveillance system that allows plants to recognize diverse pathogens and mount appropriate defense responses. Research approaches combining co-immunoprecipitation with mass spectrometry can help elucidate these protein-protein interactions.
Generating highly specific antibodies against At1g15890 requires careful antigen design:
Epitope selection considerations:
Choose unique regions that differ from homologous NLR proteins
Target accessible regions on the protein surface
Avoid transmembrane domains and highly conserved functional domains
Consider both N-terminal (CC domain) and C-terminal (LRR region) epitopes for comprehensive coverage
Recommended approaches:
Synthetic peptides (15-20 amino acids) conjugated to carrier proteins
Recombinant protein fragments expressed in E. coli (preferably the variable regions)
Full-length protein expression using plant-based systems for proper folding
The coiled-coil (CC) domain of At1g15890 shows distinct structural features compared to canonical CNLs, with three C-terminal α-helices predicted to form coiled-coils rather than the first α-helix . This structural uniqueness can be leveraged for antibody specificity.
A comprehensive validation strategy includes:
| Validation Method | Purpose | Controls Required | Acceptance Criteria |
|---|---|---|---|
| Western blot | Confirm target specificity | 1. Wild-type extract 2. At1g15890 knockout/knockdown 3. Recombinant At1g15890 protein | Single band at expected MW (~55-60 kDa) in wild-type; absent in knockout |
| Immunoprecipitation | Verify ability to capture native protein | 1. Input sample 2. Non-immune IgG control | Enrichment of target protein; minimal non-specific binding |
| Immunofluorescence | Assess subcellular localization | 1. Wild-type cells 2. At1g15890 knockout 3. Pre-immune serum control | Expected localization pattern; absence in knockout |
| Peptide competition | Confirm epitope specificity | 1. Antibody alone 2. Antibody pre-incubated with immunizing peptide | Signal elimination when antibody is blocked with immunizing peptide |
For maximum confidence, perform validation across multiple plant tissues and under various stress conditions, as NLR expression can be highly context-dependent .
Cross-reactivity with other NLR proteins is a common challenge when working with At1g15890 antibodies. Systematic troubleshooting approaches include:
Identify cross-reacting proteins:
Perform mass spectrometry on immunoprecipitated samples
Compare western blot patterns across tissues with different NLR expression profiles
Test against recombinant proteins from closely related NLR families
Optimization strategies:
Increase washing stringency with higher salt concentrations (300-500 mM NaCl)
Add low concentrations of competitive agents (0.1-0.5% Tween-20)
Perform antibody pre-absorption with recombinant proteins from cross-reacting NLRs
Consider epitope-tagged versions of At1g15890 for specific applications
Application-specific recommendations:
For western blots: Optimize primary antibody dilution (typically 1:500-1:2000)
For immunoprecipitation: Use crosslinking to stabilize transient interactions
For immunofluorescence: Include additional blocking agents (5% BSA, 5% normal serum)
Remember that complete elimination of cross-reactivity may not be achievable for highly conserved protein families. Multiple antibodies targeting different epitopes can provide validation through concordant results.
For investigating At1g15890 protein interactions, consider these optimized immunoprecipitation (IP) approaches:
Native IP protocol:
Extract proteins in mild buffer (50 mM Tris-HCl pH 7.5, 150 mM NaCl, 0.5% NP-40, protease inhibitors)
Pre-clear lysate with protein A/G beads (1 hour, 4°C)
Incubate with At1g15890 antibody overnight at 4°C (5-10 μg antibody per mg protein)
Capture with protein A/G beads (2-3 hours, 4°C)
Wash 4-5 times with buffer containing 0.1% NP-40
Elute with 0.1 M glycine pH 2.5 or SDS loading buffer
Crosslinking IP for transient interactions:
Treat intact tissues with 1-2% formaldehyde (10-15 minutes)
Quench with 125 mM glycine
Extract and immunoprecipitate as above
Reverse crosslinks (95°C, 10 minutes in SDS buffer) before analysis
Proximity-dependent approaches:
Express At1g15890 fused to BioID or TurboID biotin ligase
Supply biotin to living cells (50 μM, 1-3 hours)
Capture biotinylated proximal proteins with streptavidin
Identify by mass spectrometry
Combining these approaches can reveal both stable and transient interactions of At1g15890 with other proteins in the plant immune signaling pathway .
Recent research suggests connections between NLR proteins, nuclear organization, and gene expression regulation . At1g15890 antibodies can be employed to study these processes through:
Chromatin immunoprecipitation (ChIP):
Fix plant tissue with 1% formaldehyde (10 minutes)
Isolate nuclei and fragment chromatin (sonication to 200-500 bp fragments)
Immunoprecipitate with At1g15890 antibodies
Analyze by qPCR or sequencing to identify genomic binding regions
Immunofluorescence microscopy:
Fix and permeabilize plant cells
Co-stain with At1g15890 antibodies and DNA/chromatin markers
Analyze changes in nuclear localization during immune activation
Quantify parameters such as chromocenter size and nuclear distribution
Proximity ligation assay (PLA):
Co-stain with At1g15890 antibody and antibodies against chromatin-modifying enzymes
Apply species-specific secondary antibodies with DNA probes
Amplify signal when proteins are within 40 nm
Quantify interaction events per nucleus
Studies with actin depolymerizing factors (ADFs) have demonstrated that cytoskeletal components can influence chromocenter size and nuclear organization, with subsequent effects on disease resistance gene expression . Similar approaches could reveal At1g15890's role in this process.
Successful immunohistochemistry with At1g15890 antibodies requires:
Tissue preparation options:
Paraffin embedding: Provides excellent morphology but may compromise antigen accessibility
Cryo-sectioning: Better antigen preservation but more challenging morphology
Whole-mount: Allows 3D visualization but limited to thin tissues or organs
Antigen retrieval methods:
Heat-induced: 10 mM sodium citrate buffer (pH 6.0), 95°C for 20 minutes
Enzymatic: Proteinase K (10 μg/ml, 10 minutes at room temperature)
Test multiple methods as NLR proteins can be sensitive to fixation
Signal detection systems:
Chromogenic: DAB precipitation for permanent samples and light microscopy
Fluorescent: Multiple fluorophores for co-localization studies
Tyramide signal amplification: For low-abundance targets
Controls and quantification:
Include both positive tissues (known to express At1g15890) and negative controls
Use knockout/knockdown tissues as gold-standard negative controls
Implement automated image analysis for objective quantification
Expression analysis has shown that NLR genes like At1g15890 can have tissue-specific expression patterns and can be induced under certain stress conditions . Experimental design should account for this variability.
At1g15890 antibodies enable sophisticated studies of immune signaling dynamics:
Temporal signaling studies:
Use time-course experiments to track At1g15890 modifications (phosphorylation, ubiquitination)
Combine with phospho-specific antibodies to map activation sequences
Monitor protein complex formation at different stages of immune response
Spatial signaling analysis:
Track At1g15890 translocation between cellular compartments
Investigate membrane association during immune activation
Analyze nuclear accumulation and potential DNA interactions
Quantitative approaches:
Implement pulse-chase immunoprecipitation to measure protein turnover rates
Use antibody-based biosensors for real-time monitoring in live cells
Apply super-resolution microscopy to visualize nanoscale distribution
Research suggests that plant NLR proteins function in preformed complexes that undergo conformational changes upon pathogen detection . At1g15890 antibodies can help elucidate these structural rearrangements and subsequent signaling events.
Researchers often encounter contradictory findings when studying complex proteins like At1g15890. Reconciliation approaches include:
Systematic comparison of experimental conditions:
Document all variables: plant age, tissue type, growth conditions, pathogen strains
Create standardized reference samples for cross-laboratory validation
Implement meta-analysis techniques to identify pattern-driving variables
Antibody-based functional studies:
Use epitope-specific antibodies to block distinct protein domains
Apply antibodies to isolated subcellular fractions to test compartment-specific functions
Compare results with genetic approaches (knockout, knockdown, overexpression)
Integrative multi-omics approaches:
Combine antibody-based proteomics with transcriptomics and metabolomics
Apply network modeling to contextualize contradictory results
Identify conditional factors that explain discrepancies
Studies on related NLR proteins have shown that their functions can vary dramatically depending on genetic background and environmental conditions . For instance, expression of some NLR genes is significantly altered in actin depolymerizing factor mutants, suggesting complex regulatory networks that may explain seemingly contradictory results.
Emerging single-cell technologies with At1g15890 antibodies can uncover immune response heterogeneity:
Single-cell antibody-based methods:
Flow cytometry with At1g15890 antibodies to identify responsive cell populations
Mass cytometry (CyTOF) incorporating metal-tagged antibodies for multiparameter analysis
Imaging mass cytometry for spatial single-cell protein profiling in tissue context
Integrative single-cell approaches:
CITE-seq combining At1g15890 antibody detection with single-cell RNA-seq
Spatial transcriptomics with antibody validation of key markers
Single-cell Western blotting for protein isoform analysis
Microfluidic applications:
Droplet-based single-cell immunoassays for At1g15890 quantification
Microwell arrays for monitoring single-cell secretion dynamics
Organ-on-chip approaches for controlled microenvironment studies
Single-cell methodologies can help identify specialized "sentinel" cells that may initiate defense responses. Recent research in paired antibody repertoire sequencing demonstrates how single-cell approaches can provide insights into adaptive immune responses that would be masked in bulk analyses .
CRISPR/Cas9 epitope tagging offers transformative opportunities for At1g15890 research:
Endogenous tagging advantages:
Maintains native gene regulation and expression levels
Avoids artifacts associated with overexpression systems
Enables tracking of all protein isoforms from the endogenous locus
Strategic tagging approaches:
C-terminal tags for proteins where N-terminus contains critical domains
Internal tags within flexible linker regions for proteins sensitive to terminal modifications
Split-tag complementation for studying protein-protein interactions
Advanced applications with tagged lines:
Chromatin profiling through CUT&Tag rather than traditional ChIP
Proximity labeling with TurboID fusions for interactome mapping
Live-cell single-molecule tracking with Halo or SNAP tags
Current techniques like CloneEZ™ Seamless cloning technology can facilitate the generation of these constructs . Tagged lines can then serve as positive controls for antibody validation and enable applications where current antibodies have limitations.
At1g15890 antibodies can facilitate research into epigenetic dimensions of plant immunity:
Chromatin-associated functions:
Investigate potential association with specific chromatin states
Analyze co-localization with chromatin modifiers during defense responses
Assess impact on DNA methylation patterns at defense gene loci
Nuclear organization studies:
Examine relationship between At1g15890 and chromocenter dynamics
Investigate associations with nuclear bodies during immune responses
Analyze changes in chromosome territories during resistance responses
Methodological approaches:
ChIP-seq with At1g15890 antibodies followed by epigenetic mark analysis
Re-ChIP to identify co-occurrence with specific histone modifications
Proximity ligation assays to detect interactions with epigenetic machinery
Research has revealed connections between actin depolymerizing factors, nuclear morphology, and expression of NLR genes including potentially At1g15890 . Chromocenters (condensed heterochromatin regions) show altered size and distribution in mutants with disturbed actin, suggesting a potential link between cytoskeletal organization, nuclear architecture, and disease resistance gene regulation that could be further explored using At1g15890 antibodies.
Computational methods enhance At1g15890 antibody research in multiple dimensions:
Structure-based antibody design:
Predict epitope accessibility through protein structure modeling
Identify surface regions unique to At1g15890 versus other NLRs
Simulate antibody-antigen interactions to optimize binding affinity
Bioinformatic analysis of experimental data:
Implement machine learning for automated western blot/IF quantification
Apply network analysis to interpret immunoprecipitation-mass spectrometry results
Develop algorithms for single-cell immune response profiling
Integrated data analysis frameworks:
Create unified databases of antibody validation results across laboratories
Develop standardized pipelines for antibody specificity assessment
Implement FAIR (Findable, Accessible, Interoperable, Reusable) principles for antibody data
Computational approaches can also help identify polymorphisms in At1g15890 across plant varieties and predict how these might affect antibody binding, similar to approaches used in studying genetic polymorphisms affecting antibody production in human vaccination studies .