Late embryogenesis abundant protein D-113 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
antibody; Late embryogenesis abundant protein D-113 antibody; LEA D-113 antibody
Uniprot No.

Target Background

Function
LEA proteins are late embryogenesis abundant proteins that are highly expressed in the seed embryos of higher plants. These proteins are classified into two subsets (5a and 5b). The first subset (5a) is expressed when the cotyledon weight reaches 80 mg, while the second subset (5b) is expressed at weights exceeding 100 mg. The precise function of these proteins remains unknown.
Database Links

UniGene: Ghi.8045

Protein Families
LEA type 1 family

Q&A

What is LEA protein D-113 and why is it significant for research?

LEA protein D-113 is a hydrophilic protein originally discovered in cotton seeds during late stages of embryo development when desiccation occurs. It belongs to group 4 LEA proteins (in some classifications partially included in group 3) and is significant because it plays a crucial role in desiccation tolerance. D-113 was found homogeneously distributed in all embryo tissues at remarkably high concentrations of nearly 300 mM, suggesting its fundamental importance in protecting cellular components during water loss . As a model LEA protein, D-113 offers researchers insights into molecular mechanisms of stress tolerance across diverse organisms.

What are the cellular concentrations of D-113 protein in plant embryos?

Quantitative immunochemical analyses have determined that D-113 proteins accumulate to approximately 10^16 molecules per cotton embryo, which equates to about 1.3 × 10^9 molecules per average cell. These values calculate to concentrations of approximately 283 μM in embryonic tissues . This extraordinarily high concentration underscores the physiological importance of these proteins during the critical embryogenesis stages and provides researchers with concentration benchmarks for experimental design.

How is LEA D-113 classified within the broader LEA protein family?

D-113 belongs to group 4 LEA proteins, though classification systems vary somewhat across the literature. Some classification systems partially include group 4 proteins within group 3. Comprehensive computational and statistical analyses of 710 LEA proteins have led to a classification system with 12 non-overlapping classes with distinct properties . Each class can be characterized by unique sets of physico-chemical properties, which researchers can use to properly classify novel LEA proteins in their studies.

What are the recommended methods for producing antibodies against LEA D-113?

For high-specificity antibodies against LEA D-113, recombinant protein expression in E. coli followed by purification provides the most reliable antigen source. The purified protein can then be used for antibody production in rabbits . This approach allows for generation of polyclonal antibodies that recognize native D-113 in plant samples. When designing expression constructs, researchers should consider the intrinsically disordered nature of most LEA proteins, which may affect protein solubility during recombinant expression.

How can researchers validate specificity of anti-LEA D-113 antibodies?

Validation should include protein gel blotting (Western blot) against both recombinant protein and native plant extracts. In previous studies, antisera produced against D-113 were found to interact with all members of the protein family in cotton extracts by protein gel blotting . Researchers should expect some cross-reactivity within LEA protein families due to sequence similarities. Additional validation can include immunoprecipitation followed by mass spectrometry to confirm antibody targets with high confidence.

What quantitative immunoassays work best with LEA D-113 antibodies?

Quantitative "rocket" immunoelectrophoresis has proven effective for LEA protein quantification in plant tissues . This technique allows precise determination of molecular concentration and can be complemented with ELISA or dot-blot analysis for high-throughput applications. When designing quantitative assays, researchers should establish standard curves using purified recombinant LEA D-113 at concentrations ranging from approximately 10-1000 μg/mL to span the physiological range found in embryo tissues.

How should researchers design immunolocalization experiments for LEA D-113?

For subcellular immunolocalization of LEA D-113, researchers should consider the following methodological approach:

  • Tissue fixation: Use paraformaldehyde (4%) with careful dehydration steps to preserve LEA protein epitopes

  • Antibody dilution: Begin with 1:500 to 1:1000 dilutions of primary antibody

  • Controls: Include pre-immune serum controls and peptide competition assays

  • Counterstaining: Use organelle-specific markers to establish precise subcellular localization

This approach has successfully demonstrated that D-113 is homogeneously distributed across all embryo tissues, providing a template for localization studies . For co-localization experiments, combining immunostaining with fluorescent organelle markers can provide detailed subcellular distribution maps.

How can LEA D-113 antibodies be used to study stress response mechanisms?

LEA protein antibodies provide valuable tools for tracking protein expression during stress conditions. Researchers can design time-course experiments exposing plant tissues to dehydration, osmotic stress, or low temperature followed by protein extraction and Western blot analysis with D-113 antibodies. Studies show LEA proteins accumulate in vegetative tissues in response to such stresses . Quantitative immunoassays can determine whether upregulation reaches levels comparable to those in mature embryos (approximately 283 μM) . Correlating protein accumulation patterns with physiological parameters of stress tolerance can provide mechanistic insights.

What heterologous expression systems can be combined with D-113 antibodies for functional studies?

Human HepG2 cells have been successfully used for heterologous expression of LEA proteins under tetracycline-inducible control systems . Researchers can design similar expression systems for D-113 and use antibodies to confirm expression and study protein function. The following experimental approach is recommended:

  • Create stable cell lines with inducible D-113 expression

  • Validate expression using Western blotting with anti-D-113 antibodies

  • Subject cells to desiccation or other stresses

  • Compare stress tolerance between D-113-expressing and control cells

  • Use immunofluorescence to track subcellular localization

This approach demonstrated significant protection against desiccation in human cells expressing LEA proteins, suggesting conserved protective mechanisms across diverse organisms .

How can researchers use D-113 antibodies to investigate subcellular compartmentalization of LEA proteins?

Recent research has revealed the remarkably diverse subcellular distribution of LEA proteins across multiple cellular compartments . Although D-113 has been found in the cytosol, researchers can use fractionation techniques combined with immunoblotting to investigate potential localization to specific organelles. A methodological approach includes:

  • Differential centrifugation to isolate cellular fractions

  • Percoll gradient purification of organelles

  • Western blotting with D-113 antibodies

  • Parallel blotting with organelle-specific markers

  • Confocal microscopy with fluorescently tagged antibodies

This approach can reveal whether D-113 conforms to the pattern seen in the LEA_4 family, which has been found distributed across cytosol, mitochondria, plastids, ER, and pexophagosomes .

How can bioinformatic analyses complement antibody-based studies of D-113?

Researchers should combine antibody studies with computational analyses of D-113 sequence and structure. Analysis of LEA proteins has revealed distinctive features for each class, including amino acid composition, hydropathy index, and predicted secondary structure . For D-113, researchers should examine:

PropertyTypical Value for LEA Group 4Analysis Method
Hydropathy Index< 1.0Kyte-Doolittle scale
Alpha-helix probability81-82%Secondary structure prediction algorithms
Predominant amino acidsAla, Gly, Lys, GluCompositional analysis
Molecular mass~34-45 kDaSDS-PAGE migration vs. theoretical calculation

Discrepancies between predicted and observed properties (using antibody detection methods) can reveal post-translational modifications or structural peculiarities .

How can D-113 antibodies help investigate LEA protein interactions during stress conditions?

To study potential stress-induced interaction partners of D-113, researchers can employ co-immunoprecipitation combined with mass spectrometry. The recommended approach includes:

  • Expose tissues to controlled desiccation or other stresses

  • Prepare protein extracts under non-denaturing conditions

  • Immunoprecipitate using anti-D-113 antibodies

  • Identify binding partners via mass spectrometry

  • Validate interactions through reciprocal co-IP and other methods

Since LEA proteins are thought to function as molecular shields or chaperones during stress conditions, identifying interaction partners could reveal protected cellular components and molecular mechanisms of stress tolerance .

What are common challenges when using LEA D-113 antibodies and how can they be overcome?

Several technical challenges may arise when working with LEA protein antibodies:

  • Cross-reactivity within LEA families: Anti-D-113 antibodies may recognize multiple members of the same LEA family . Solution: Perform pre-absorption with related recombinant proteins or use peptide-specific antibodies targeting unique regions.

  • Variable detection in different tissues: LEA protein expression varies dramatically between embryonic and vegetative tissues . Solution: Adjust protein loading and antibody dilutions based on expected expression levels.

  • Altered migration on SDS-PAGE: LEA proteins often migrate aberrantly due to their intrinsically disordered nature . Solution: Include recombinant protein standards and expect apparent molecular weights to differ from theoretical values.

  • Protein stability issues: Intrinsically disordered LEA proteins may be susceptible to proteolytic degradation . Solution: Include appropriate protease inhibitors in all extraction buffers and maintain samples at 4°C.

How should researchers interpret apparent molecular weight discrepancies in Western blots with D-113 antibodies?

Intrinsically disordered proteins like LEAs often show increased apparent molecular mass on SDS-PAGE gels due to reduced binding of SDS . For example, a protein with predicted mass of 30.9 kDa might migrate at approximately 34 kDa. When interpreting Western blot results with D-113 antibodies, researchers should:

  • Compare migration with purified recombinant protein standards

  • Consider that post-translational modifications may alter migration

  • Note that intrinsically disordered regions affect SDS binding

  • Use gradient gels for better resolution of anomalously migrating proteins

  • Consider using mass spectrometry for definitive mass determination

This approach will help differentiate between genuine isoforms and migration artifacts when analyzing Western blot results .

What strategies can researchers use to differentiate between LEA protein classes in complex samples?

Distinguishing between different LEA protein classes in plant extracts can be challenging. Researchers can employ:

  • Class-specific antibodies: Generate antibodies against unique peptide regions specific to D-113

  • Immunodepletion: Sequentially deplete extracts with antibodies against different LEA classes

  • 2D-PAGE separation: Combine isoelectric focusing with SDS-PAGE before Western blotting

  • Mass spectrometry: Use LC-MS/MS to identify and quantify specific LEA proteins

  • Expression patterns: Monitor tissue-specific and stress-induced expression patterns, which often differ between LEA classes

These approaches, combined with computational analysis of physico-chemical properties, can help researchers definitively identify and characterize D-113 and other LEA proteins in complex biological samples .

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