PDLP8 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
PDLP8 antibody; CRRSP15 antibody; At3g60720 antibody; T4C21_130 antibody; Plasmodesmata-located protein 8 antibody; PD-located protein 8 antibody; Cysteine-rich repeat secretory protein 15 antibody
Target Names
PDLP8
Uniprot No.

Target Background

Function
PDLP8 antibody modulates cell-to-cell trafficking.
Gene References Into Functions
  1. PDLP8 may possibly influence AtACBP6 accumulation in the sieve elements. PMID: 28786767
Database Links

KEGG: ath:AT3G60720

STRING: 3702.AT3G60720.1

UniGene: At.34389

Protein Families
Cysteine-rich repeat secretory protein family, Plasmodesmata-located proteins (PDLD) subfamily
Subcellular Location
Cell membrane; Single-pass type I membrane protein. Cell junction, plasmodesma.
Tissue Specificity
Highly expressed in pollen, lateral root and elongation zone. Higher expression in the reproductive tissues (flowers and buds) than in vegetative organs (leaves and stems). High expression in shoot and root phloem companion cells (at protein level).

Q&A

What is PDLP8 and why is it significant in plant research?

PDLP8 is a transmembrane protein in Arabidopsis thaliana that localizes to plasmodesmata, the channels connecting adjacent plant cells. Its significance stems from its role in regulating intercellular movement of molecules through plasmodesmata. Research has demonstrated that PDLP8 interacts with Acyl-CoA-binding protein ACBP6 and may influence its accumulation in sieve elements via the plasmodesmata . Understanding PDLP8 provides critical insights into plant cell-to-cell communication mechanisms, particularly in the context of lipid transport and protein trafficking through plasmodesmata.

What are the key structural features of PDLP8?

Computational analysis reveals that PDLP8's three-dimensional structure includes two α-helices, four β-sheets, and a visible loop. This structure was generated using 4XRE as a template in SWISS MODEL . Protein interaction studies indicate that the β3 and β4 sheets of PDLP8 are predicted to interact with the α1 and α2 helices of AtACBP6 . These structural characteristics are essential for understanding the molecular basis of PDLP8's interactions with partner proteins and its functionality at the plasmodesmata.

What is the tissue-specific expression pattern of PDLP8 in Arabidopsis?

PDLP8 exhibits tissue-specific expression patterns with relatively higher expression in reproductive tissues (flowers and buds) compared to vegetative organs (leaves and stems) . GUS assays on transgenic Arabidopsis harboring PDLP8pro::GUS constructs revealed GUS expression in buds after 24 hours of staining, while only weak signals appeared in the vasculature of 3-week-old rosette leaves . Microarray data analysis shows that both PDLP8 and AtACBP6 have higher relative expression values in shoot and root phloem companion cells, though PDLP8's absolute expression level is significantly lower than AtACBP6 across all tissues examined .

What techniques are most effective for studying PDLP8-protein interactions?

Multiple complementary techniques should be employed to robustly characterize PDLP8-protein interactions:

  • Isothermal Titration Calorimetry (ITC): Research demonstrates that ITC can effectively measure binding affinities between PDLP8 and partner proteins. For example, ITC analysis of PDLP8-AtACBP6 interaction revealed dissociation constants (Kd) ranging from 6.8 to 7.6 μM, confirming modest but specific binding .

  • Pull-down Assays: These assays can verify direct physical interactions. In published protocols, researchers have used His-tagged PDLP8 (35.6 kD) with GST-tagged partner proteins, followed by PreScission Protease treatment to remove GST tags for clear differentiation of proteins .

  • Bimolecular Fluorescence Complementation (BiFC): This technique enables visualization of protein interactions in their cellular context. BiFC analysis revealed that AtACBP6-PDLP8 interaction occurs at the plasma membrane .

  • Computational Prediction: Tools such as Patchdock/Firedock (http://bioinfo3d.cs.tau.ac.il/PatchDock/) can predict interaction interfaces before experimental validation .

How should researchers characterize pdlp8 mutants for functional studies?

A systematic approach to pdlp8 mutant characterization includes:

  • Genotyping: Confirm T-DNA insertions using both gene-specific primers (e.g., ML2427 and ML2428) and T-DNA border primers (e.g., LBa1). Homozygous mutants typically show no amplification with gene-specific primers but produce bands with T-DNA border primer combinations .

  • Expression Analysis: Quantify PDLP8 expression levels using qRT-PCR to confirm knockdown or knockout. The pdlp8 mutant (SALK_089929C) showed approximately 10-fold decrease in PDLP8 expression compared to wild-type plants .

  • Protein Analysis: Collect phloem exudates and perform western blot analysis using appropriate antibodies to assess how the mutation affects protein accumulation of PDLP8 or its interaction partners .

  • Phenotypic Characterization: Examine developmental and physiological phenotypes, focusing particularly on processes that might involve plasmodesmatal function.

What methods provide the most reliable assessment of PDLP8 localization in plant cells?

To accurately determine PDLP8 subcellular localization, researchers should employ:

  • Fluorescent Protein Fusions: Express PDLP8 fused to fluorescent proteins under native promoters to visualize localization patterns while minimizing artifacts from overexpression.

  • Immunolocalization: Use specific antibodies against PDLP8 for immunofluorescence microscopy, with appropriate controls including pdlp8 mutants.

  • Co-localization Studies: Combine PDLP8 visualization with established markers for plasmodesmata and plasma membrane to distinguish between these compartments.

  • BiFC Analysis: Beyond protein interaction studies, BiFC can provide insights into subcellular localization. For instance, BiFC data revealed AtACBP6-PDLP8 interaction at the plasma membrane, which was unexpected since AtACBP6 was previously identified in the cytosol .

  • Electron Microscopy: For high-resolution analysis of PDLP8 at plasmodesmata structures.

How should researchers analyze and interpret PDLP8 expression data across different experimental conditions?

Robust analysis of PDLP8 expression requires:

  • Multi-method Validation: Combine qRT-PCR, microarray data, and reporter gene assays (like GUS) to build a comprehensive picture of expression patterns .

  • Comparative Analysis: Compare PDLP8 expression with other plasmodesmata-associated proteins. Research shows that PDLP8 expression follows a pattern similar to AtACBP6 but at significantly lower absolute levels .

  • Tissue-specific Profiling: Analyze expression in various plant tissues separately. The expression of PDLP8 mRNA is relatively higher in reproductive tissues (flowers and buds) than in vegetative organs (leaves and stems) .

  • Quantitative Assessment: Use appropriate reference genes for normalization in qRT-PCR and standardized metrics for comparing expression levels across experiments.

  • Statistical Analysis: Apply appropriate statistical tests to determine significant differences in expression levels between conditions or genotypes.

What are the challenges in interpreting PDLP8 localization data, and how can they be addressed?

Several challenges exist when interpreting PDLP8 localization:

  • Distinguishing Between Membrane Domains: PDLP8 may be present at both plasmodesmata and the plasma membrane. In previous proteomic studies, PDLP8's homologs (PDLP family proteins) are distributed on specific subdomains as punctate patterns on the plasma membrane, which differs slightly from observed PDLP8-AtACBP6 interaction patterns .

  • Dynamic Relocalization: Protein interactions may alter PDLP8 localization. Whether PDLP8 is located exclusively on plasmodesmata or also on the plasma membrane, or whether AtACBP6 interaction alters PDLP8 localization requires further investigation .

  • Resolution Limitations: Standard confocal microscopy may not provide sufficient resolution to distinguish between closely associated membrane domains.

To address these challenges:

  • Use super-resolution microscopy techniques

  • Perform temporal studies to track protein movements

  • Compare localization patterns in different genetic backgrounds (wild-type vs. mutants lacking interaction partners)

  • Apply correlative light and electron microscopy approaches

How can researchers interpret conflicting results between protein and mRNA expression of PDLP8?

When faced with discrepancies between protein and mRNA data:

  • Consider Post-transcriptional Regulation: Examine mechanisms that might affect translation efficiency or protein stability.

  • Assess Technical Limitations: In the case of PDLP8, researchers noted that AtACBP6 mRNA could not be detected in phloem exudates, making it impossible to determine whether AtACBP6 mRNA had declined in the pdlp8 mutant, despite changes in protein levels .

  • Perform Time-course Studies: Protein levels may lag behind changes in mRNA expression.

  • Evaluate Protein Stability and Turnover: Reduced protein levels despite unchanged mRNA expression could indicate enhanced protein degradation.

  • Examine Spatial Differences: Proteins may be transported away from their site of synthesis, creating discrepancies between localization of mRNA and protein.

How does PDLP8 affect protein transport in the phloem, and what experimental approaches can reveal this function?

Research indicates that PDLP8 influences protein accumulation in the phloem:

  • Phloem Exudate Analysis: Western blot analysis of phloem exudates from pdlp8 mutant plants showed reduced AtACBP6 accumulation compared to wild-type plants, suggesting that PDLP8 affects AtACBP6 uptake into sieve elements .

  • Recommended Experimental Approaches:

    • Compare phloem protein composition between wild-type and pdlp8 mutants using proteomics

    • Track movement of fluorescently labeled proteins in the presence/absence of PDLP8

    • Investigate changes in plasmodesmata structure and size exclusion limits in pdlp8 mutants

    • Examine the effect of PDLP8 overexpression on protein trafficking

  • Mechanistic Studies: Investigate whether PDLP8 directly facilitates protein movement or indirectly influences plasmodesmata structure/function.

What are the most effective strategies for generating and validating PDLP8-specific antibodies?

Although the search results don't specifically address PDLP8 antibody production, based on general principles and the information about PDLP8:

  • Antigen Design:

    • Select unique, accessible epitopes based on PDLP8's structure

    • Consider using recombinant fragments that exclude highly conserved domains to minimize cross-reactivity

    • Express His-tagged PDLP8 (similar to the (His)6-PDLP8 mentioned in the interaction studies)

  • Validation Strategy:

    • Test against samples from pdlp8 knockout mutants as negative controls

    • Verify specificity using western blotting, immunoprecipitation, and immunolocalization

    • Compare localization patterns with fluorescently tagged PDLP8

    • Validate in multiple experimental conditions and tissue types

  • Application-specific Optimization:

    • For western blotting: Determine optimal extraction, denaturation, and detection conditions

    • For immunolocalization: Optimize fixation and permeabilization protocols

How can researchers investigate the relationship between PDLP8 and other plasmodesmata-associated proteins?

To understand PDLP8's role within the broader context of plasmodesmata function:

  • Comparative Expression Analysis: Analyze co-expression patterns of PDLP8 with other plasmodesmata-associated proteins across tissues and developmental stages.

  • Protein-Protein Interaction Screens:

    • Yeast two-hybrid screening with PDLP8 as bait

    • Co-immunoprecipitation followed by mass spectrometry

    • Proximity labeling approaches (BioID, APEX)

  • Genetic Interaction Studies:

    • Generate double/triple mutants combining pdlp8 with mutations in other plasmodesmata genes

    • Analyze synergistic or antagonistic effects on phenotypes

  • Functional Complementation:

    • Test whether other PDLP family members can rescue pdlp8 mutant phenotypes

    • Identify critical domains through chimeric protein approaches

What are common challenges in PDLP8 protein extraction and detection, and how can they be overcome?

Membrane proteins like PDLP8 present several challenges:

  • Extraction Efficiency:

    • Use specialized buffers containing appropriate detergents for membrane protein solubilization

    • Consider testing different detergent types and concentrations

    • Include protease inhibitors to prevent degradation

  • Detection Sensitivity:

    • Optimize antibody concentration and incubation conditions

    • Consider alternative detection methods for weak signals

    • Use enrichment techniques if PDLP8 expression is low

  • Non-specific Binding:

    • Optimize blocking conditions with different blocking agents

    • Include appropriate controls, including samples from pdlp8 mutants

    • Test different antibody dilutions to improve signal-to-noise ratio

  • Size Verification:

    • Verify that detected bands match the expected molecular weight

    • Consider the possibility of post-translational modifications affecting apparent size

How should researchers address inconsistent or contradictory data in PDLP8 localization studies?

When facing inconsistent localization data:

  • Evaluate Technical Variables:

    • Compare fixation protocols, which can affect membrane protein localization

    • Assess tag interference if using fluorescent protein fusions

    • Consider tissue-specific differences in localization patterns

  • Reconcile Conflicting Observations:

    • The search results note that while PDLP8 was presumed to be specifically targeted to plasmodesmata, BiFC data showed AtACBP6-PDLP8 interaction at the plasma membrane .

    • This suggests PDLP8 may have multiple localizations or dynamic trafficking between compartments.

  • Consider Dynamic Localization:

    • Perform time-course experiments to track potential relocalization

    • Examine effects of various stimuli on PDLP8 distribution

  • Use Multiple Techniques:

    • Combine live-cell imaging, immunolocalization, and biochemical fractionation

    • Perform correlative light and electron microscopy

What are the most promising approaches for investigating PDLP8's role in plant stress responses?

Based on plasmodesmata's known roles in stress signaling:

  • Stress Exposure Experiments:

    • Compare responses of wild-type and pdlp8 mutants to biotic and abiotic stresses

    • Analyze changes in PDLP8 expression, localization, and protein interactions under stress conditions

  • Signaling Molecule Movement:

    • Track movement of defense signals, hormones, or RNAs between cells in pdlp8 mutants

    • Investigate if PDLP8 regulates plasmodesmatal permeability during stress

  • Interaction with Stress Response Machinery:

    • Identify potential interactions between PDLP8 and known stress signaling components

    • Examine if post-translational modifications of PDLP8 occur during stress responses

  • Comparative Analysis Across Species:

    • Investigate PDLP8 homologs in stress-resistant plant species

How might high-resolution imaging techniques advance our understanding of PDLP8 function?

Advanced imaging approaches offer new insights:

  • Super-resolution Microscopy:

    • Resolve PDLP8 distribution within plasmodesmata at nanometer scale

    • Distinguish between different subdomains of the plasma membrane

  • Live-cell Imaging:

    • Track PDLP8 dynamics in real-time using photo-switchable fluorescent proteins

    • Monitor protein-protein interactions in living cells using FRET or FLIM

  • Correlative Light and Electron Microscopy:

    • Connect PDLP8 localization with ultrastructural features of plasmodesmata

    • Precisely map PDLP8 positioning relative to other plasmodesmata components

  • Single-Molecule Tracking:

    • Analyze PDLP8 movement and interactions at the single-molecule level

    • Determine residence times at different cellular locations

What computational approaches might enhance PDLP8 research?

Computational methods can accelerate discoveries:

  • Structural Predictions:

    • Refine 3D models of PDLP8 structure using AI-based approaches

    • Model PDLP8 in membrane environments

  • Interaction Predictions:

    • Use docking simulations to predict interactions with other proteins

    • The search results mention successful use of Patchdock/Firedock for modeling AtACBP6-PDLP8 interaction

  • Network Analysis:

    • Integrate PDLP8 into protein-protein interaction networks

    • Identify potential functional connections through co-expression analysis

  • Evolutionary Analysis:

    • Compare PDLP family proteins across species to identify conserved functional domains

    • Trace the evolutionary history of plasmodesmata-associated proteins

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