At1g68200 Antibody

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Description

Biological Role of CDM1

CDM1 regulates callose deposition and dissolution during pollen development:

  • Mutants (cdm1) exhibit defective callose layers around microspores, leading to pollen abortion .

  • Quantitative RT-PCR shows >10-fold upregulation of A6 (β-1,3-glucanase) and 30-fold elevation of AtMYB80 in cdm1 anthers during stages 4–7, disrupting temporal control of callose degradation .

  • Interacts genetically with SPOROCYTELESS (SPL) and EMS1 to coordinate sporocyte differentiation .

Expression Dynamics

ConditionCDM1 Expression vs. Wild TypeCitation
spl mutant↓ 60–75% (stages 4–7 anthers)
ems1 mutant↓ 55–70% (stages 4–7 anthers)
cdm1 mutantDisrupted β-1,3-glucanase activity

Functional Interactions

  • A6 (At3g55780): Callose hydrolase expression increases 7-fold in cdm1, causing premature callose breakdown .

  • AtMYB80: Transcript levels surge 30-fold in cdm1, altering tapetal development .

  • β-1,3-Glucan Synthases (GSLs): cdm1 reduces At3g61810 expression by >90% in late anther stages .

Applications in Plant Biology

  • Pollen Development Studies: Used to track CDM1 localization in tapetum and microspores .

  • Mutant Validation: Confirms cdm1 T-DNA insertion lines via protein absence .

  • Gene Regulatory Networks: Links CDM1 to brassinosteroid signaling via EMS1 .

Research Gaps and Future Directions

  • Structural Analysis: No crystallography data exists for CDM1’s C-terminal domain.

  • Evolutionary Conservation: Unclear if CDM1 homologs in crops (e.g., rice OsGSL1) share identical epitopes .

  • Post-Translational Modifications: Phosphorylation sites remain uncharacterized.

Product Specs

Buffer
Preservative: 0.03% ProClin 300; Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
14-16 week lead time (made-to-order)
Synonyms
At1g68200 antibody; T22E19.17Zinc finger CCCH domain-containing protein 15 antibody; AtC3H15 antibody
Target Names
At1g68200
Uniprot No.

Q&A

What is the At1g68200 protein and why is it significant in plant biology?

At1g68200 encodes a Zinc finger C-x8-C-x5-C-x3-H type family protein in Arabidopsis thaliana, also known as AtC3H15 or CALLOSE DEFECTIVE MICROSPORE1 (CDM1) . This protein belongs to the zinc finger family of transcription factors, characterized by a specific motif that coordinates zinc ions to stabilize its three-dimensional structure. The significance of At1g68200 lies in its role in callose formation during microsporogenesis, which is crucial for proper pollen development and plant reproduction.

The protein's function has been established through genetic studies involving knockout mutants, which demonstrate severe defects in pollen development and reduced fertility. Additionally, the protein has been implicated in stress response pathways, particularly drought and salt stress tolerance, making it an important target for agricultural research focused on enhancing crop resilience to environmental challenges.

How do I select the most appropriate At1g68200 antibody for my experimental needs?

Selecting an appropriate At1g68200 antibody requires consideration of several experimental parameters:

What are the standard protocols for using At1g68200 antibodies in Western blotting?

The standard Western blotting protocol for At1g68200 antibodies typically involves the following optimized steps:

  • Sample preparation:

    • Extract total protein from Arabidopsis tissues using an appropriate buffer (e.g., 50 mM Tris-HCl pH 7.5, 150 mM NaCl, 1% Triton X-100, 1 mM EDTA, and protease inhibitors)

    • Quantify protein concentration using Bradford or BCA assay

    • Prepare samples by mixing with Laemmli buffer and heating at 95°C for 5 minutes

  • Gel electrophoresis and transfer:

    • Load 20-50 μg of protein per lane on a 10-12% SDS-PAGE gel

    • Run at 100-120V until adequate separation

    • Transfer proteins to PVDF or nitrocellulose membrane at 100V for 1 hour or 30V overnight

  • Antibody incubation:

    • Block membrane with 5% non-fat milk in TBST for 1 hour at room temperature

    • Incubate with At1g68200 primary antibody at a dilution of 1:1000-1:5000 in blocking buffer overnight at 4°C

    • Wash 3-5 times with TBST, 5 minutes each

    • Incubate with appropriate HRP-conjugated secondary antibody at 1:5000-1:10000 for 1 hour at room temperature

    • Wash 3-5 times with TBST, 5 minutes each

  • Detection:

    • Apply ECL substrate and visualize using a chemiluminescence imaging system

    • Expected band size: Approximately 40-45 kDa (confirm with specific antibody documentation)

  • Controls:

    • Include wild-type and At1g68200 mutant/knockout samples for specificity validation

    • Use anti-actin or anti-tubulin antibodies as loading controls

For optimal results, prepare fresh buffers and maintain consistent temperature conditions throughout the procedure. Titration of antibody concentration may be necessary for optimizing signal-to-noise ratio with your specific samples.

How can I troubleshoot weak or absent signals when using At1g68200 antibodies?

When encountering weak or absent signals with At1g68200 antibodies, systematically investigate the following potential issues:

  • Protein expression levels:

    • At1g68200 expression may be tissue-specific or developmentally regulated

    • Ensure you're using appropriate tissues where the protein is expressed (e.g., developing flowers, pollen)

    • Consider using tissues from plants under specific stress conditions that may upregulate At1g68200 expression

  • Protein extraction efficiency:

    • Modify extraction buffer components (detergent concentration, salt concentration)

    • Add phosphatase inhibitors if phosphorylated forms are important

    • Test different homogenization methods for improved protein release

  • Antibody-related factors:

    • Titrate antibody concentration (try both higher and lower dilutions)

    • Extend primary antibody incubation time (up to 48 hours at 4°C)

    • Check antibody storage conditions and expiration date

    • Test a different lot or source of antibody

  • Detection system:

    • Use a more sensitive detection substrate (e.g., femto instead of regular ECL)

    • Increase exposure time during imaging

    • Try signal amplification methods like biotin-streptavidin systems

  • Technical parameters:

    • Optimize transfer conditions (time, buffer composition, method)

    • Ensure adequate blocking to reduce background

    • Verify secondary antibody compatibility and functionality

A systematic approach to troubleshooting can be organized using the following decision tree:

Signal IssueFirst ApproachIf Unsuccessful, TryAdvanced Solution
No signalIncrease antibody concentration (1:500)Test with positive control tissueImmunoprecipitate target before detection
Weak signalExtend incubation timeUse enhanced detection substrateSignal amplification system
High backgroundOptimize blocking (5% BSA instead of milk)Increase washing stringencyPre-absorb antibody with non-specific proteins
Multiple bandsIncrease antibody specificity with lower concentrationAdd competing peptide controlUse knockout/mutant samples as negative controls

How can I design experiments to validate At1g68200 antibody specificity for highly confident results?

  • Genetic validation:

    • Compare wild-type plants with confirmed At1g68200 knockout/knockdown lines

    • The antibody should show significantly reduced or absent signal in knockout samples

    • Use CRISPR-Cas9 edited lines with specific epitope modifications as advanced controls

  • Molecular weight verification:

    • Compare observed band size with theoretical molecular weight (approximately 40-45 kDa for At1g68200)

    • Test samples with recombinant At1g68200 protein as positive controls

    • Run samples with and without protease inhibitors to assess degradation patterns

  • Peptide competition assay:

    • Pre-incubate the antibody with excess synthesized peptide corresponding to the epitope

    • This should abolish or significantly reduce specific binding in parallel experiments

    • Include non-competing peptide controls from unrelated protein regions

  • Orthogonal detection methods:

    • Correlate antibody detection with mRNA expression using RT-PCR or RNA-Seq

    • Use mass spectrometry to confirm protein identity in immunoprecipitated samples

    • Compare results with GFP-tagged At1g68200 detection using anti-GFP antibodies

  • Cross-species validation:

    • Test antibody reactivity with homologous proteins from related plant species

    • Establish specificity boundaries by systematically testing proteins with varying sequence homology

The results from these validation experiments can be organized in a comprehensive matrix:

Validation MethodExpected OutcomeInterpretation If SuccessfulPotential Issues
Knockout comparisonSignal absence in knockoutConfirms specificityCompensatory expression of homologs
Peptide competitionSignal reduction >90%Confirms epitope specificityIncomplete competition may indicate off-target binding
Mass spectrometryIdentified peptides match At1g68200Confirms target identityLimited sensitivity for low-abundance proteins
Tagged protein correlationSignal co-localizationConfirms targeting accuracyTag may alter protein properties
Cross-reactivity testingPredictable pattern based on homologyDefines specificity boundariesUnexpected cross-reactivity requires further investigation

Implementing this validation framework provides a robust foundation for experimental design and data interpretation in At1g68200 research .

What are the optimal experimental designs for studying At1g68200 protein interactions and modifications?

Studying At1g68200 protein interactions and modifications requires carefully designed experiments that address specific research questions. The following approaches are recommended:

  • Co-immunoprecipitation (Co-IP) studies:

    • Use anti-At1g68200 antibodies to pull down protein complexes

    • Apply stringent washing conditions to eliminate non-specific interactions

    • Implement a two-step purification strategy (e.g., tandem affinity purification) for higher confidence

    • Include appropriate negative controls (IgG, unrelated antibody)

    • Analyze by mass spectrometry or Western blotting for known interactors

  • Post-translational modification (PTM) analysis:

    • Phosphorylation: Use phospho-specific antibodies or phospho-enrichment followed by mass spectrometry

    • Ubiquitination: Perform immunoprecipitation under denaturing conditions to preserve modifications

    • SUMOylation: Use SUMO-specific antibodies for detection after immunoprecipitation

    • Design experiments to compare PTM patterns under different stress conditions or developmental stages

  • Proximity labeling approaches:

    • Express At1g68200 fused to BioID or TurboID enzyme in Arabidopsis

    • Temporal control of biotinylation allows capturing dynamic interactions

    • Purify biotinylated proteins and identify by mass spectrometry

    • Validate key interactions using reciprocal co-immunoprecipitation

  • Subcellular localization studies:

    • Combine immunofluorescence using At1g68200 antibodies with organelle markers

    • Perform subcellular fractionation followed by Western blotting

    • Compare localization patterns under different environmental conditions

  • Chromatin immunoprecipitation (ChIP):

    • If At1g68200 functions as a transcription factor, use ChIP-seq to identify DNA binding sites

    • Optimize crosslinking conditions for zinc finger proteins

    • Include appropriate controls (input DNA, IgG ChIP)

For studying dynamic interactions, a factorial experimental design is recommended:

Experimental FactorLevels to TestControlsAnalysis Method
Developmental stageSeedling, mature leaf, flower, siliqueAge-matched wild-typeCo-IP followed by MS
Stress conditionControl, drought, salt, coldUntreated samplesPhospho-enrichment MS
Time points0h, 2h, 6h, 24h post-treatmentPre-treatmentTemporal interaction network
Genetic backgroundWild-type, related TF mutantsComplemented linesComparative interactome

This factorial design allows for systematic analysis of how At1g68200 interactions and modifications change across conditions, providing insights into its regulatory mechanisms and biological functions .

How can I interpret contradictory results when analyzing At1g68200 expression across different experimental conditions?

Contradictory results when analyzing At1g68200 expression can stem from multiple sources of variation. Interpreting these discrepancies requires a systematic analytical approach:

  • Biological variables:

    • Genetic background differences: Even minor ecotype variations can affect expression patterns

    • Developmental timing: At1g68200 may have temporally regulated expression windows

    • Environmental conditions: Light intensity, humidity, temperature, and soil composition can significantly impact expression

    • Circadian regulation: Consider time-of-day effects on sampling

  • Methodological considerations:

    • Antibody detection threshold: Different antibodies may have varying sensitivity limits

    • Epitope accessibility: Protein interactions or conformational changes may mask epitopes

    • Extraction protocols: Different buffers may preferentially extract specific protein pools

    • Detection methods: Western blot vs. immunofluorescence vs. ELISA may yield different results

  • Analytical framework for resolving contradictions:

    a. Triangulation approach: Implement multiple independent methods to quantify At1g68200:

    • Protein level: Western blot, ELISA, mass spectrometry

    • mRNA level: qRT-PCR, RNA-Seq, Northern blot

    • Activity: Functional assays specific to zinc finger proteins

    b. Controlled reference experiments:

    • Design side-by-side experiments controlling all variables except the one under investigation

    • Include shared positive and negative controls across experiments

    • Standardize data using reference genes/proteins with known stable expression

    c. Meta-analysis framework:

    • Systematically document all experimental conditions

    • Identify patterns of when contradictions occur

    • Test hypotheses about conditional factors affecting results

  • Decision matrix for resolving contradictions:

Contradiction TypeInvestigation ApproachPossible InterpretationResolution Strategy
Different tissue resultsMicro-dissection and analysisTissue-specific expressionMap expression atlas with fine resolution
Stress vs. control discrepancyTime-course analysisDynamic regulationCreate temporal expression profile
Antibody-dependent resultsEpitope mappingPost-translational modificationsUse multiple antibodies targeting different regions
Method-dependent resultsMethod standardizationTechnical artifactsDevelop consensus protocols with internal controls
Lab-to-lab variationCollaborative validationEnvironment effectsEstablish multi-lab validation study
  • Statistical considerations:

    • Implement appropriate statistical tests considering biological replicates

    • Calculate effect sizes, not just p-values

    • Consider Bayesian approaches to integrate prior knowledge with new data

    • Use meta-analysis techniques to synthesize results across studies

By implementing this systematic approach to contradictory results, researchers can transform discrepancies into insights about the complex regulation of At1g68200 expression and function .

What advanced microscopy techniques are most effective for studying At1g68200 localization and dynamics?

Advanced microscopy techniques offer powerful approaches for investigating At1g68200 localization, dynamics, and interactions within plant cells. The following techniques are particularly valuable:

  • Super-resolution microscopy:

    • Structured Illumination Microscopy (SIM): Achieves ~100 nm resolution, suitable for visualizing At1g68200 distribution within organelles

    • Stochastic Optical Reconstruction Microscopy (STORM): Provides ~20 nm resolution for precise protein cluster analysis

    • Stimulated Emission Depletion (STED): Offers ~30-80 nm resolution without extensive post-processing

    Implementation strategy: Optimize fixation conditions to preserve epitope accessibility while maintaining cellular architecture. Use directly labeled primary antibodies when possible to minimize the size of detection elements.

  • Live-cell imaging techniques:

    • Fluorescence Recovery After Photobleaching (FRAP): Measure At1g68200 mobility and binding dynamics

    • Fluorescence Correlation Spectroscopy (FCS): Analyze diffusion rates and concentration at single-molecule level

    • Förster Resonance Energy Transfer (FRET): Detect protein-protein interactions with nanometer proximity

    Implementation strategy: Generate functional fluorescent protein fusions of At1g68200 under native promoter control. Validate fusion protein functionality through complementation of knockout phenotypes.

  • Multi-color imaging approaches:

    • Co-localization analysis with organelle markers (nucleus, chloroplast, etc.)

    • 3D reconstruction to map spatial distribution across cell types

    • Correlative Light and Electron Microscopy (CLEM): Combine fluorescence imaging with ultrastructural analysis

    Implementation strategy: Design careful controls for spectral bleed-through and use appropriate co-localization statistics beyond visual assessment.

  • Tissue-specific analysis:

    • Light-sheet microscopy for whole-organ imaging with cellular resolution

    • Multi-photon microscopy for deep tissue penetration

    • Expansion microscopy to physically enlarge specimens for improved resolution

    Implementation strategy: Optimize clearing protocols for plant tissues while preserving immunoreactivity of At1g68200 antibodies.

  • Quantitative analysis framework:

Microscopy ApproachKey MeasurementsAnalysis SoftwareStatistical Validation
FRAPMobile fraction, half-time of recoveryImageJ FRAP analyzerBootstrap confidence intervals
Single particle trackingDiffusion coefficients, confinementTrackMate, SMTrackerMean square displacement analysis
Co-localizationPearson's coefficient, Manders' overlapJACoP, Coloc2Randomization tests, Costes method
Cluster analysisCluster size, density, distributionDBSCAN, SR-TesselerRipley's K function, PCF
Intensity quantificationExpression levels across tissuesCellProfiler, ImarisMixed-effects models
  • Advanced time-resolved experiments:

    • Design pulse-chase experiments to track newly synthesized At1g68200

    • Implement optogenetic approaches to manipulate At1g68200 localization

    • Use photo-convertible fluorescent proteins to track specific subpopulations

By combining these advanced microscopy approaches with rigorous quantitative analysis, researchers can gain unprecedented insights into the subcellular localization, dynamics, and interactions of At1g68200 protein in plant cells .

How can At1g68200 antibodies be effectively used in plant stress response studies?

At1g68200 antibodies provide powerful tools for investigating plant stress responses, particularly given the protein's role in stress adaptation. An effective experimental approach includes:

  • Stress-specific expression profiling:

    • Apply various stresses (drought, salt, cold, heat, pathogens) to Arabidopsis plants

    • Collect tissues at multiple time points (0h, 1h, 3h, 6h, 12h, 24h, 48h)

    • Analyze At1g68200 protein levels via Western blot with careful quantification

    • Compare protein expression with transcript levels to identify post-transcriptional regulation

  • Subcellular relocalization studies:

    • Use immunofluorescence with At1g68200 antibodies to track protein localization changes under stress

    • Combine with organelle markers to determine precise localization patterns

    • Perform nuclear-cytoplasmic fractionation followed by Western blotting to quantify relocalization

  • Post-translational modification mapping:

    • Immunoprecipitate At1g68200 from stressed and control plants

    • Analyze by mass spectrometry to identify stress-induced modifications

    • Develop or obtain modification-specific antibodies for key PTMs

    • Track temporal dynamics of modifications in response to stress

  • Protein complex remodeling:

    • Compare At1g68200 interaction partners under normal and stress conditions

    • Analyze complex stability and composition changes during stress response

    • Determine functional consequences of altered protein interactions

  • Experimental design framework:

Stress TypeSampling StrategyKey ControlsAnalysis Approaches
DroughtProgressive water withholding with RWC measurementWell-watered, ABA treatmentWestern blot + immunofluorescence
Salt0, 50, 100, 150, 200 mM NaCl treatmentsOsmotic control (mannitol)Co-IP + Western blot
Cold4°C exposure time courseGradual vs. sudden temperature changePTM analysis by IP-MS
Heat37°C exposure time courseHeat shock protein mutantsChromatin association by ChIP
Biotic stressBacterial/fungal pathogen infectionMock inoculation, defense mutantsProtein turnover analysis
  • Functional validation approaches:

    • Compare stress responses in wild-type vs. At1g68200 mutant plants

    • Create phospho-mimetic or phospho-dead variants to test PTM significance

    • Use targeted protein degradation techniques to remove At1g68200 during specific stress phases

  • Data interpretation framework:

    • Distinguish between general stress responses and stress-specific changes

    • Determine threshold levels of At1g68200 required for stress tolerance

    • Identify rate-limiting steps in the stress response pathway

By implementing this comprehensive approach, researchers can use At1g68200 antibodies to elucidate the protein's role in stress signaling networks, potential as a stress biomarker, and functional contribution to plant stress adaptation mechanisms .

How can advanced proteomics techniques enhance At1g68200 antibody applications in plant research?

Advanced proteomics techniques are revolutionizing the applications of At1g68200 antibodies in plant research, offering unprecedented resolution and insights:

  • Targeted proteomics approaches:

    • Selected Reaction Monitoring (SRM) and Parallel Reaction Monitoring (PRM): Enable absolute quantification of At1g68200 with higher sensitivity than Western blotting

    • Develop optimized peptide targets unique to At1g68200 for sensitive detection

    • Implement heavy isotope-labeled peptide standards for accurate quantification

    • Achieve detection of low-abundance forms in complex samples

  • Proximity-dependent labeling proteomics:

    • BioID or TurboID fusion with At1g68200 to identify proximal proteins in living cells

    • APEX2 fusion for ultrafast proximity labeling with temporal resolution

    • Combine with tissue-specific or inducible expression systems for conditional interactome mapping

    • Compare interactome maps under different developmental or stress conditions

  • Cross-linking mass spectrometry (XL-MS):

    • Apply protein cross-linking followed by At1g68200 immunoprecipitation

    • Identify interaction interfaces at amino acid resolution

    • Map structural relationships within protein complexes

    • Detect transient interactions missed by conventional co-IP approaches

  • Post-translational modification mapping:

    • Phosphoproteomics: Enrich phosphopeptides after At1g68200 immunoprecipitation

    • Ubiquitylome analysis: Identify ubiquitination sites regulating protein stability

    • Comprehensive PTM profiling using multi-protease digestion strategies

    • Quantify modification stoichiometry under different conditions

  • Spatial proteomics applications:

    • Laser capture microdissection coupled with At1g68200 immunoprecipitation

    • Single-cell proteomics from plant tissues using microfluidic approaches

    • Imaging mass spectrometry to map At1g68200 distribution in tissue sections

    • Correlative microscopy combining immunofluorescence with mass spectrometry

  • Integrated workflow example:

TechniqueApplication to At1g68200Advantage Over Conventional MethodsRequired Resources
PRM-MSAbsolute quantification across tissuesHigher sensitivity, multiplexing capabilityTriple-quadrupole or Orbitrap MS
BioID-MSIn vivo interactome mappingCaptures weak/transient interactionsMolecular cloning, MS facility
XL-MSStructural analysis of complexesAmino acid resolution of interfacesSpecialized cross-linkers, bioinformatics
PTM profilingModification site mappingComprehensive modification landscapeEnrichment protocols, high-resolution MS
Spatial proteomicsCell-type specific analysisResolves tissue heterogeneityLaser microdissection, sensitive MS
  • Future development opportunities:

    • Single-molecule pull-down (SiMPull) for direct visualization of protein complexes

    • Mass cytometry (CyTOF) adaptation for plant cells with At1g68200 antibodies

    • Nanobody development against At1g68200 for improved probe permeability

    • Integration with structural biology techniques (cryo-EM, integrative modeling)

By leveraging these advanced proteomics approaches, researchers can transform At1g68200 antibodies from simple detection tools into powerful instruments for functional characterization, revealing the protein's dynamic behavior in unprecedented detail .

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