HSP23.5 Antibody

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Description

Introduction to HSPAntibody

The HSP23.5 antibody is a specialized immunological tool targeting Heat Shock Protein 23.5 (HSP23.5), a mitochondrial protein in Arabidopsis thaliana involved in plant stress responses . This antibody enables precise detection of HSP23.5 in experimental settings, particularly under heat stress conditions . Its development addresses a critical gap in studying organelle-localized small heat shock proteins (sHSPs) and their roles in cellular protection .

Key Properties:

ParameterAgrisera AS21 4524 Cusabio CSB-PA884232XA01DOA
Host SpeciesRabbitNot specified
ClonalityPolyclonalPolyclonal
ImmunogenTruncated recombinant HSP23.5Not disclosed
ReactivityArabidopsis thalianaPredicted cross-species
ApplicationsWestern Blot (1:1000 dilution)ELISA, WB (validated)
Molecular Weight23.5 kDa23.5 kDa (predicted)
StorageLyophilized at -20°CCustomizable

Validation in Mutant Studies

The antibody detects HSP23.5 in wild-type A. thaliana but shows no cross-reactivity in:

  • HSP23.5 null mutants

  • Triple mutants lacking HSP23.5, HSP23.6, and HSP26.5

  • Heat-stressed plants recovering at 38°C

Role in Mitochondrial Stress Response

HSP23.5 aggregates significantly increase in mitochondrial protease mutants (ftsh4-1, oma1) under moderate heat stress (30°C), suggesting its critical role in protein quality control . Key findings:

  • Co-aggregates with NAD9 (Complex I) and RPS10 (ribosomal protein) under stress

  • Transcript levels rise 2.5-fold in mutants vs. wild-type at 30°C

Comparative Analysis with Related Antibodies

FeatureHSP23.5 Antibody Anti-HSP23.6 Anti-HSP26.5
Target LocalizationMitochondria/Chloroplast Mitochondria Mitochondria
Mutant SpecificityNo signal in ΔHSP23.5 No signal in ΔHSP23.6 Detects all lines
Stress InductionUpregulated at 38°C Constitutive expression Temperature-dependent

Future Directions and Research Implications

  1. Phenotypic Analysis: Required for characterizing quadruple sHSP mutants (hsp23.5/23.6/25.3/26.5) to assess thermotolerance .

  2. Localization Studies: GFP-tagged HSP23.5 lines will clarify dual mitochondrial/chloroplast targeting .

  3. Agricultural Applications: Potential use in developing heat-resistant crops through sHSP engineering .

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
HSP23.5 antibody; At5g51440 antibody; MFG13.1523.5 kDa heat shock protein antibody; mitochondrial antibody; AtHsp23.5 antibody
Target Names
HSP23.5
Uniprot No.

Target Background

Gene References Into Functions
  1. Evolution of a pseudogene: Diversity and divergence of HSP23.5 PMID: 18356953
Database Links

KEGG: ath:AT5G51440

STRING: 3702.AT5G51440.1

UniGene: At.29679

Protein Families
Small heat shock protein (HSP20) family
Subcellular Location
Mitochondrion.

Q&A

What is HSP23.5 and why is it important in plant stress research?

HSP23.5 (Heat shock protein 23.5) is a mitochondrial small heat shock protein primarily studied in Arabidopsis thaliana that plays a crucial role in the plant's response to heat stress. This protein belongs to a subfamily of sHSPs that includes its closely related counterpart HSP23.6, which is distinct from another mitochondrial sHSP, HSP26.5 . The importance of HSP23.5 lies in its heat-inducible nature and its role in protecting mitochondrial proteins against aggregation during temperature stress.

Research indicates that HSP23.5 transcription significantly increases when plants are exposed to moderately elevated temperatures (30°C compared to 22°C), suggesting its involvement in mitochondrial protein quality control mechanisms . Understanding this protein is essential for developing insights into plant adaptations to climate change, particularly regarding how plants maintain mitochondrial function during heat stress.

What are the optimal conditions for using HSP23.5 antibody in Western blot applications?

When performing Western blot analysis using anti-HSP23.5 antibody, researchers should follow these methodological guidelines:

  • Sample preparation: Extract total proteins from plant tissue (typically 20 μg of whole protein extract is sufficient for detection) .

  • Antibody dilution: The recommended dilution for Western blot applications is 1:1000 .

  • Expected molecular weight: The expected/apparent molecular weight of HSP23.5 is 23.5 kDa .

  • Controls: Include appropriate controls in your experimental design:

    • Wild-type Arabidopsis thaliana Col-0 extract as a positive control

    • HSP23.5 null mutant extract as a negative control

    • Consider also using HSP23.6 null mutant, double null mutant, or triple null mutant (HSP23.5, HSP23.6, HSP26.5) extracts for specificity testing

  • Storage and handling: Store the lyophilized/reconstituted antibody at -20°C; once reconstituted, make aliquots to avoid repeated freeze-thaw cycles. Before opening, briefly spin the tubes to ensure no material is lost from the cap or sides .

Maintaining these conditions will help ensure reliable and reproducible detection of HSP23.5 in your experimental samples.

How can researchers distinguish between HSP23.5 and other closely related mitochondrial sHSPs in experimental analyses?

Distinguishing between closely related mitochondrial small heat shock proteins requires a multi-faceted approach:

Gene expression profiling

HSP23.5 and HSP23.6 show similar transcriptional responses to heat stress, while HSP26.5 exhibits different expression patterns. Under moderate heat conditions (30°C), both HSP23.5 and HSP23.6 are upregulated, whereas HSP26.5 does not show significant transcriptional changes .

Immunological approaches

  • Specific antibodies: Use immunogen affinity-purified antibodies specifically raised against each protein. The anti-HSP23.5 antibody is developed using truncated recombinant HSP23.5 of Arabidopsis thaliana (UniProt: Q9FGM9-1, TAIR: AT5G51440) .

  • Western blot analysis with mutant lines: Employ genetic knockout lines as negative controls to confirm antibody specificity:

    • HSP23.5 null mutant

    • HSP23.6 null mutant

    • Double null mutant (HSP23.5 and HSP23.6)

    • Triple null mutant (HSP23.5, HSP23.6, and HSP26.5)

  • Differential solubility: Under heat stress conditions (30°C), HSP23.5 and HSP23.6 are primarily found in the Triton X-100-insoluble fraction (aggregates), while HSP26.5 shows a different distribution pattern between soluble and insoluble fractions .

What methodologies can be used to study the relationship between HSP23.5 and mitochondrial proteases?

To investigate the functional relationship between HSP23.5 and mitochondrial proteases such as FTSH4 and OMA1, researchers can employ several methodological approaches:

Protein degradation assays

  • In vitro degradation: Isolate mitochondria from plants grown under heat stress conditions (30°C), resuspend in digitonin-containing buffer (1%), and incubate with purified proteases at controlled temperatures. Monitor HSP23.5 levels over time using Western blot to determine if it's a proteolytic substrate .

Protein aggregation studies

  • Detergent solubility fractionation: Separate mitochondrial proteins into Triton X-100-soluble and insoluble fractions to assess aggregation state.

  • Comparative analysis between wild-type and protease mutants: Compare the aggregation profile of HSP23.5 in wild-type plants versus ftsh4 and oma1 mutants under heat stress conditions .

Proteomic approaches

  • iTRAQ-based proteomics: Use isobaric tags for relative and absolute quantification to identify differences in protein abundance between wild-type and mutant plants.

  • Mass spectrometry analysis of protein aggregates: Excise protein bands from SDS-PAGE gels that show enrichment in protease mutants compared to wild-type plants and analyze by mass spectrometry to identify aggregation-prone proteins .

These methodologies have revealed that while HSP23.6 is degraded by both FTSH4 and OMA1 proteases, other proteins like NAD9 are specifically degraded by FTSH4, suggesting distinct but overlapping roles for these proteases in mitochondrial protein quality control .

How does temperature affect HSP23.5 expression and detection in experimental systems?

Temperature significantly impacts both HSP23.5 expression and detection in plant experimental systems:

Expression patterns

  • Baseline conditions (22°C): HSP23.5 is virtually undetectable at optimal growth temperatures, as it is a heat-inducible protein .

  • Heat stress conditions (30°C): Significant upregulation of HSP23.5 at both transcript and protein levels. The transcriptional response in ftsh4 and oma1 mutants is significantly higher compared to wild-type plants, suggesting these proteases may influence HSP23.5 expression through feedback mechanisms .

Detection considerations

  • Temperature-dependent experimental design: When designing experiments to detect HSP23.5:

    • For protein extraction, plants should be subjected to heat stress treatment (e.g., 30°C) to induce expression

    • Both the soluble and insoluble (aggregate) fractions should be analyzed, as the distribution changes with temperature

    • Include appropriate temperature controls (plants grown at optimal temperature) for comparative analysis

  • Subcellular fractionation: Under heat stress, mitochondrial proteins may redistribute between soluble and aggregate fractions. Proper mitochondrial isolation and fractionation are essential for accurate detection of HSP23.5 .

  • Mutant background effects: The detectability of HSP23.5 varies significantly in different genetic backgrounds, with higher abundance observed in mitochondrial protease mutants (ftsh4 and oma1) compared to wild type under heat stress conditions .

These temperature-dependent considerations are crucial for proper experimental design and interpretation of results when studying mitochondrial heat shock proteins.

What are the best practices for validating HSP23.5 antibody specificity in plant stress research?

Ensuring antibody specificity is crucial for reliable research outcomes. For HSP23.5 antibody validation, follow these best practices:

Genetic validation

  • Null mutant testing: The most rigorous validation approach is testing the antibody against HSP23.5 knockout lines. A true-specific antibody should show no signal in the HSP23.5 null mutant while maintaining signal in wild-type samples .

  • Multiple mutant analysis: Employ a range of genetic backgrounds:

    • Single mutants (HSP23.5 null)

    • Related protein mutants (HSP23.6 null)

    • Double mutants (HSP23.5/HSP23.6)

    • Triple mutants (HSP23.5/HSP23.6/HSP26.5)

Technical validation

  • Western blot optimization:

    • Test multiple antibody concentrations (start with 1:1000 dilution as recommended)

    • Include positive controls (wild-type extract under heat stress)

    • Use protein loading controls (constitutively expressed mitochondrial proteins)

    • Verify expected molecular weight (23.5 kDa)

  • Cross-reactivity assessment: Test potential cross-reactivity with other sHSPs, particularly HSP23.6 due to its close relationship with HSP23.5 .

  • Induction validation: Confirm that antibody detection increases with heat treatment, matching the known heat-inducible nature of HSP23.5 .

The application examples provided by Agrisera demonstrate that their anti-HSP23.5 antibody shows high specificity, with absence of signal in HSP23.5 null mutants and presence of signal in wild-type plants when exposed to heat conditions .

How can researchers effectively analyze HSP23.5 involvement in mitochondrial protein aggregation during heat stress?

To analyze HSP23.5's role in mitochondrial protein aggregation during heat stress, researchers should implement a comprehensive methodological approach:

Isolation and fractionation protocols

  • Mitochondrial isolation: Purify intact mitochondria using established density gradient centrifugation methods.

  • Detergent-based fractionation: Separate soluble proteins from aggregates using Triton X-100 extraction, followed by centrifugation to pellet the insoluble fraction .

  • Temperature comparison: Perform parallel extractions from plants grown at optimal (22°C) and stress (30°C) temperatures to compare aggregation patterns .

Analytical methods

  • SDS-PAGE and immunoblotting: Analyze both soluble and insoluble fractions using antibodies against HSP23.5 and other mitochondrial proteins to determine their distribution and aggregation tendency .

  • Proteomic analysis of aggregates:

    • Excise gel bands enriched in aggregates

    • Perform mass spectrometry analysis to identify co-aggregating proteins

    • Use isobaric labeling (iTRAQ) for quantitative comparison between wild-type and mutant plants

  • Genetic manipulation: Compare aggregation patterns between:

    • Wild-type plants

    • Mitochondrial protease mutants (ftsh4 and oma1)

    • HSP23.5 overexpression lines

    • HSP23.5 knockout lines

Correlation with physiological responses

  • Growth phenotyping: Monitor plant growth parameters under heat stress to correlate protein aggregation with physiological outcomes.

  • Mitochondrial function assessment: Measure respiratory chain activity, ATP production, and reactive oxygen species generation to assess functional consequences of protein aggregation .

Research has shown that HSP23.5 aggregation increases significantly in ftsh4 and oma1 mutants under heat stress, suggesting these proteases play important roles in preventing or resolving protein aggregation during temperature stress .

What experimental considerations are important when comparing HSP23.5 with other mitochondrial sHSPs in heat stress research?

When conducting comparative studies between HSP23.5 and other mitochondrial sHSPs (HSP23.6 and HSP26.5), consider these important experimental factors:

Evolutionary and structural relationships

  • Subfamily classification: HSP23.5 and HSP23.6 are closely related and belong to the same subfamily, distinct from HSP26.5. This relationship should inform experimental design and interpretation of results .

Expression dynamics

  • Differential heat induction: While HSP23.5 and HSP23.6 are strongly induced by heat, HSP26.5 shows different expression patterns. Design time-course experiments to capture the temporal dynamics of each protein's response .

  • Baseline expression: HSP23.5 and HSP23.6 are virtually undetectable at 22°C but strongly induced at 30°C, while HSP26.5 is detectable at normal growth temperatures. Ensure appropriate controls and normalization methods to account for these differences .

Protein behavior under stress

  • Aggregation tendencies: Compare the distribution of each sHSP between soluble and insoluble fractions under various stress conditions and genetic backgrounds:

    sHSPWild-type (30°C)ftsh4 mutant (30°C)oma1 mutant (30°C)
    HSP23.5Increased aggregationSubstantially increasedModerately increased
    HSP23.6Increased aggregationSubstantially increasedModerately increased
    HSP26.5Minimal aggregationIncreasedNo significant difference
  • Interaction partners: Identify protein interaction networks specific to each sHSP using co-immunoprecipitation or proximity labeling approaches.

Functional redundancy

  • Genetic approach: Use single, double, and triple mutants to assess functional redundancy and specific roles of each sHSP .

  • Complementation studies: Perform cross-complementation experiments to determine if one sHSP can compensate for the absence of another.

These considerations will help researchers design more informative experiments and better understand the specific and overlapping functions of mitochondrial sHSPs in plant heat stress response.

What are the critical parameters for monitoring HSP23.5 degradation by mitochondrial proteases?

To effectively investigate HSP23.5 degradation by mitochondrial proteases such as FTSH4 and OMA1, researchers should carefully control these critical parameters:

In vitro degradation assay design

  • Substrate preparation:

    • Use freshly isolated mitochondria from plants exposed to heat stress (30°C) to ensure adequate HSP23.5 expression

    • Properly solubilize membranes using appropriate detergents (e.g., 1% digitonin) to maintain protein-protein interactions while allowing protease access

  • Reaction conditions:

    • Temperature: Conduct assays at physiologically relevant temperatures (30°C for heat stress studies)

    • pH: Maintain optimal pH for mitochondrial proteases (typically pH 7.4-8.0)

    • Divalent cations: Include appropriate concentrations of Mg²⁺/Zn²⁺ for metalloprotease activity

    • ATP: Include ATP for ATP-dependent proteases like FTSH4

  • Time course: Monitor degradation at multiple time points (e.g., 0, 15, 30, 60, 120 minutes) to establish degradation kinetics

Control reactions

  • Negative controls:

    • Heat-inactivated proteases

    • Protease inhibitor cocktails

    • Protease-deficient extracts from ftsh4 or oma1 mutants

  • Positive controls: Include known substrates of each protease (e.g., HSP23.6 for both FTSH4 and OMA1, NAD9 for FTSH4 only)

Detection and quantification

  • Immunoblotting: Use anti-HSP23.5 antibody (1:1000 dilution) to monitor substrate levels over time

  • Quantification: Apply densitometry to measure degradation rates and calculate half-lives

  • Statistical analysis: Perform at least three independent experiments and apply appropriate statistical tests to compare degradation rates between different proteases and conditions

Research has revealed distinct substrate specificities among mitochondrial proteases, with HSP23.6 being degraded by both FTSH4 and OMA1, while other proteins like NAD9 are specifically degraded by FTSH4 . Similar methodologies can be applied to determine if HSP23.5 is a substrate of these proteases.

How can researchers integrate HSP23.5 antibody-based studies with broader mitochondrial stress response investigations?

To integrate HSP23.5 antibody-based studies within the larger context of mitochondrial stress responses, researchers should adopt these comprehensive strategies:

Multi-omics approaches

  • Correlation with transcriptomics: Compare HSP23.5 protein levels (detected by antibody) with transcript levels under various stress conditions and genetic backgrounds. Research has shown that transcriptional responses of HSP23.5 and HSP23.6 are significantly higher in ftsh4 and oma1 mutants compared to wild-type plants under heat stress .

  • Integration with proteomics: Use quantitative proteomics (iTRAQ) to identify changes in the mitochondrial proteome during heat stress, correlating these changes with HSP23.5 abundance and aggregation state .

  • Metabolomic correlation: Link HSP23.5 dynamics with changes in mitochondrial metabolites during stress response.

Pathway analysis

  • Mitochondrial quality control networks: Position HSP23.5 within the broader context of mitochondrial protein quality control systems:

    • Chaperone networks (HSP70, GrpE)

    • Proteolytic systems (FTSH4, OMA1)

    • Membrane scaffold proteins (prohibitins, SLPs)

  • Respiratory chain function: Investigate the relationship between HSP23.5 and respiratory chain components, particularly as NAD9 (complex I subunit) has been identified in protein aggregates and as an FTSH4 substrate .

Genetic approaches

  • Epistasis analysis: Determine genetic interactions by generating and analyzing double mutants:

    • HSP23.5/protease (HSP23.5/FTSH4, HSP23.5/OMA1)

    • HSP23.5/other sHSPs (HSP23.5/HSP23.6, HSP23.5/HSP26.5)

    • HSP23.5/respiratory chain components

  • Phenotype correlation: Link molecular data (HSP23.5 aggregation) with physiological outcomes:

    • Growth parameters

    • Stress tolerance

    • Mitochondrial function

Subcellular localization studies

  • Immunogold labeling: Use the HSP23.5 antibody for transmission electron microscopy to visualize precise location within mitochondria.

  • Co-localization analysis: Combine HSP23.5 detection with markers for different mitochondrial compartments to determine exact location during normal and stress conditions.

This integrated approach will provide a comprehensive understanding of HSP23.5's role within the complex network of mitochondrial responses to heat stress, moving beyond isolated protein studies to a systems-level understanding of plant stress adaptation.

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