AtHDH1 is a mitochondrial enzyme with a molecular mass of 37.4 kDa (unprocessed) and 34 kDa after cleavage of its 28-amino-acid mitochondrial presequence . Its primary function is the oxidation of 3-hydroxyisobutyrate (3-HIB) to methylmalonate semialdehyde during valine degradation.
Purified AtHDH1 was tested against multiple substrates using NAD⁺ as a cofactor. The following table summarizes its substrate preferences:
Substrate | Relative Activity (%) | Stereospecificity |
---|---|---|
S-3-hydroxyisobutyrate | 100 | Exclusive |
R-3-hydroxyisobutyrate | 2 | None |
3-hydroxypropionate | 13 | Not determined |
Methyl-3-hydroxy-2-methylpropionate | 1.2 | R-enantiomer inactive |
Data derived from recombinant enzyme assays .
Six T-DNA insertion lines (ΔHDH1-1 to ΔHDH1-6) were analyzed to study AtHDH1’s physiological role. Three lines (ΔHDH1-2, ΔHDH1-4, ΔHDH1-6) had insertions outside the promoter region, while ΔHDH1-3 could not be confirmed .
Line | Insertion Position | Functional Impact |
---|---|---|
ΔHDH1-1 | ~600 bp upstream | Non-disruptive |
ΔHDH1-2 | 471 bp upstream | Non-disruptive |
ΔHDH1-4 | 471 bp upstream | Non-disruptive |
ΔHDH1-6 | Within coding region | Disruptive |
Functional disruption was confirmed via enzymatic activity assays in ΔHDH1-6 .
The At4g20930 antibody enables detection of AtHDH1 in mitochondrial proteomes. Validation methods include:
Western Blotting: Used to confirm protein absence in ΔHDH1-6 mutants .
Mass Spectrometry (MS): LC-MS/MS identified AtHDH1 in mitochondrial fractions, corroborating 2D gel-based proteomic data .
Enzyme-Linked Immunosorbent Assay (ELISA): Quantified AtHDH1 levels in wild-type versus mutant plants .
Cross-Reactivity: No observed binding to non-target plant dehydrogenases .
Epitope Stability: Maintains recognition under denaturing conditions (SDS-PAGE) .
Application in Metabolic Studies: Critical for tracking BCAA catabolism disruptions in Arabidopsis mutants .
The At4g20930 antibody has advanced understanding of BCAA metabolism in plants, particularly in energy homeostasis and stress responses. Its specificity supports studies on:
At4g20930 antibodies are specifically designed to target the AtHDH1 protein in Arabidopsis thaliana. Unlike antibodies for structural proteins or signaling molecules that may be conserved across multiple plant species, AtHDH1 antibodies require careful validation due to the potential sequence variations in metabolic enzymes across plant species. These antibodies typically need to recognize specific epitopes on the 3-hydroxyisobutyrate dehydrogenase protein, which may be located at the N-terminus, C-terminus, or internal regions. The effectiveness of these antibodies can be particularly dependent on protein conformation, especially since AtHDH1 functions in mitochondria, which may affect epitope accessibility in different experimental contexts .
At4g20930 antibodies serve several critical functions in plant science research:
Localization studies: Determining the subcellular localization of AtHDH1 in plant cells, particularly its association with mitochondria where BCAA catabolism occurs.
Protein expression analysis: Monitoring AtHDH1 protein levels during different developmental stages or stress conditions, particularly during carbohydrate limitation.
Protein-protein interaction studies: Investigating how AtHDH1 interacts with other components of the BCAA catabolic pathway.
Functional validation: Confirming the presence or absence of the protein in knockout or knockdown mutants.
Post-translational modification analysis: Examining how AtHDH1 might be regulated through modifications like phosphorylation under different metabolic conditions .
When selecting an At4g20930 antibody, researchers should consider:
Experimental technique: Different antibodies may be optimized for Western blot, immunoprecipitation, or immunofluorescence. For example, some epitopes may be accessible only in denatured conditions (Western blot) but not in native conditions (immunoprecipitation).
Target region: Consider whether N-terminal, C-terminal, or middle region antibodies are most appropriate:
N-terminal antibodies may be useful if the protein undergoes C-terminal processing
C-terminal antibodies may be preferred if N-terminal modifications occur
Middle region antibodies might offer better accessibility in folded proteins
Cross-reactivity: Verify whether the antibody cross-reacts with homologous proteins in your experimental system, especially if studying multiple plant species.
Validation data: Review existing validation data, particularly ELISA titers and detection limits on Western blots. Effective At4g20930 antibodies typically show ELISA titers around 10,000, corresponding to approximately 1 ng detection sensitivity on Western blots .
Before proceeding with experiments, comprehensive validation of At4g20930 antibodies should include:
Western blot with positive controls: Use purified recombinant AtHDH1 protein or extracts from wild-type Arabidopsis thaliana plants known to express the protein.
Negative control testing: Test the antibody against extracts from confirmed At4g20930 knockout plants or tissues where the protein is not expressed.
Peptide competition assay: Pre-incubate the antibody with excess synthetic peptide representing the epitope to confirm specificity.
Cross-reactivity assessment: Test against related proteins or extracts from other plant species if your research involves comparative analysis.
Reproducibility verification: Ensure consistent results across multiple protein preparations and antibody lots.
Background signal evaluation: Assess non-specific binding by comparing secondary-only controls against full antibody application.
This rigorous validation is particularly important for metabolic enzymes like AtHDH1, which may share structural similarities with other dehydrogenases .
Feature | Monoclonal Antibodies | Polyclonal Antibodies |
---|---|---|
Epitope recognition | Single epitope | Multiple epitopes |
Batch consistency | High consistency between lots | Variation between bleeds |
Sensitivity | May have lower sensitivity for native proteins | Generally higher sensitivity |
Background | Typically lower background | Potentially higher background |
Robustness to epitope changes | More vulnerable to epitope changes | More robust to minor protein modifications |
Application versatility | May work better in specific applications | Often works across multiple applications |
Production complexity | More complex to produce | Simpler production process |
Cost | Generally higher | Generally lower |
For At4g20930 research, monoclonal antibodies provide advantages in experimental reproducibility and specificity. Combinations of individual monoclonal antibodies against different epitopes (as shown in search result for other proteins) can offer increased sensitivity while maintaining specificity. For example, a combination approach might use multiple monoclonal antibodies targeting different regions of AtHDH1 to enhance detection capabilities while maintaining the low background benefits of monoclonals .
Optimizing At4g20930 antibodies for Western blot requires careful attention to several parameters:
Protein extraction: Use extraction buffers containing appropriate protease inhibitors to prevent degradation of AtHDH1. Since this protein functions in mitochondria, consider mitochondrial enrichment protocols to increase detection sensitivity.
Denaturation conditions: Test both reducing and non-reducing conditions, as disulfide bonds might affect epitope accessibility in AtHDH1.
Transfer optimization:
Use PVDF membranes for higher protein binding capacity
For AtHDH1 (approximately 35-40 kDa), standard transfer conditions (100V for 1 hour) are typically sufficient
Consider wet transfer for more quantitative analysis
Blocking optimization:
Test both BSA and non-fat milk as blocking agents (5% concentration)
BSA often works better for phospho-specific antibodies if studying AtHDH1 post-translational modifications
Antibody dilution optimization:
Start with manufacturer's recommended concentration
Typically 1:1000 to 1:5000 for primary antibody
Incubate overnight at 4°C for optimal sensitivity
Signal detection:
For low abundance proteins, consider enhanced chemiluminescence (ECL) with longer exposure times
Fluorescent secondary antibodies allow for more precise quantification
Positive controls: Include recombinant AtHDH1 or extracts from tissues known to express high levels of the protein .
For effective immunolocalization of AtHDH1 in plant tissues:
Fixation optimization:
Test both formaldehyde (4%) and paraformaldehyde (4%) fixation
Optimize fixation time (typically 2-4 hours) to balance tissue preservation and epitope accessibility
Consider dual fixation with glutaraldehyde (0.1-0.5%) for better ultrastructural preservation when examining mitochondrial localization
Tissue preparation:
For fresh tissue sections: Use vibratome sectioning (50-100 μm)
For fixed tissues: Consider paraffin embedding with sections of 5-10 μm
For subcellular resolution: Consider cryosectioning (10-20 μm)
Antigen retrieval:
Use citrate buffer (pH 6.0) heated to 95°C for 10-20 minutes
Cool slowly to room temperature before antibody application
Antibody optimization:
Dilution series (typically 1:50 to 1:500) to determine optimal concentration
Extended incubation (overnight at 4°C) often improves signal-to-noise ratio
Use antibody combinations targeting different regions of AtHDH1 for confirmation
Controls:
Negative control: Secondary antibody only
Competition control: Pre-absorb primary antibody with excess antigen
Biological control: At4g20930 knockout plant tissues
Counterstaining:
DAPI for nuclear visualization
MitoTracker for mitochondrial co-localization studies (particularly important for AtHDH1)
Confocal microscopy settings:
Accurate quantification of AtHDH1 protein requires rigorous methodology:
Sample preparation standardization:
Harvest tissues at consistent developmental stages and times of day
Flash-freeze in liquid nitrogen immediately after collection
Process all experimental samples simultaneously
Protein extraction optimization:
Use extraction buffers containing proper detergents (e.g., 1% Triton X-100)
Include protease inhibitor cocktail to prevent degradation
Consider mitochondrial isolation procedures for enrichment
Quantification methods:
Western blot with densitometry:
Include purified recombinant AtHDH1 standards (5-50 ng) for calibration curve
Use housekeeping proteins (actin, tubulin) as loading controls
Image using a calibrated imaging system with linear dynamic range
ELISA-based quantification:
Develop sandwich ELISA using two antibodies recognizing different epitopes
Generate standard curve using purified recombinant protein
Process all samples in triplicate
Mass spectrometry-based approaches:
Selected reaction monitoring (SRM) for absolute quantification
Use isotope-labeled peptide standards for AtHDH1-specific peptides
Perform protein digestion and extraction with high consistency
Data analysis:
Normalize to total protein content (determined by Bradford or BCA assay)
For comparative studies, express results as fold-change relative to control
Apply appropriate statistical tests (ANOVA with post-hoc tests for multiple comparisons)
Validation of quantification:
Issue | Possible Causes | Solutions |
---|---|---|
No signal in Western blot | - Low protein expression - Epitope denaturation - Inefficient transfer - Antibody degradation | - Enrich sample (e.g., mitochondrial isolation) - Try different extraction buffers - Verify transfer with Ponceau staining - Use fresh antibody aliquots |
Multiple bands | - Non-specific binding - Protein degradation - Post-translational modifications - Cross-reactivity with homologs | - Increase blocking stringency - Add protease inhibitors during extraction - Perform peptide competition assay - Use At4g20930 knockout as negative control |
Variable results between experiments | - Inconsistent sample preparation - Antibody lot variations - Environmental factors affecting expression | - Standardize extraction protocols - Purchase larger antibody lots - Control growth conditions strictly |
High background in immunofluorescence | - Insufficient blocking - Over-fixation - Secondary antibody cross-reactivity - Autofluorescence | - Extend blocking time - Optimize fixation duration - Pre-absorb secondary antibody - Include autofluorescence quenching steps |
Weak signal in metabolic stress studies | - Timing of sampling - Insufficient stress application - Degradation during stress response | - Time course experiments to identify peak expression - Verify stress conditions (e.g., measure carbohydrate levels) - Include multiple protease inhibitors |
Additionally, for AtHDH1 specifically, consider:
Testing both membrane fractions and soluble fractions, as the protein's association with mitochondrial membranes may vary
Using dual extraction methods (native and denaturing) if protein conformation affects antibody binding
Employing recombinant AtHDH1 as a positive control to verify antibody functionality .
To investigate AtHDH1 protein-protein interactions:
Co-immunoprecipitation (Co-IP):
Use At4g20930 antibodies conjugated to magnetic or agarose beads
Extract proteins under non-denaturing conditions to preserve interactions
Verify specificity with IgG control and At4g20930 knockout samples
Identify interacting partners through mass spectrometry
Confirm key interactions with reverse Co-IP using antibodies against suspected partners
Proximity labeling approaches:
Generate BioID or TurboID fusions with AtHDH1
Express in Arabidopsis through stable transformation
Induce proximity-dependent biotinylation
Purify biotinylated proteins and identify by mass spectrometry
Validate with Co-IP or other interaction methods
Bimolecular Fluorescence Complementation (BiFC):
Create fusion constructs of AtHDH1 with split YFP/GFP fragments
Co-express with candidate interactors fused to complementary fragments
Visualize reconstituted fluorescence in planta using confocal microscopy
Include appropriate controls (unfused fragments, known non-interactors)
Förster Resonance Energy Transfer (FRET):
Generate donor-acceptor fluorophore pairs (e.g., CFP-AtHDH1 and YFP-candidate)
Express in plant cells and measure energy transfer using spectral imaging
Calculate FRET efficiency to estimate interaction strength
Perform acceptor photobleaching to confirm genuine FRET signals
Yeast two-hybrid (Y2H) assays:
Create bait constructs with AtHDH1 and screen against cDNA libraries
Verify positive interactions with targeted Y2H assays
Confirm with in planta methods to rule out false positives
Analytical size exclusion chromatography:
When investigating AtHDH1 under metabolic stress conditions:
At4g20930 antibodies can provide valuable insights into the evolutionary conservation of branched-chain amino acid metabolism through:
Cross-species immunoblotting:
Test antibody recognition across diverse plant lineages (monocots, dicots, gymnosperms, bryophytes)
Compare apparent molecular weights to identify potential structural modifications
Quantify relative protein abundance to identify species with enhanced BCAA metabolism
Comparative immunolocalization:
Examine subcellular localization patterns across species
Identify potential differences in tissue-specific expression
Correlate with habitat-specific metabolic adaptations
Epitope conservation analysis:
Map regions of high and low recognition by specific antibodies
Identify conserved functional domains across species
Use information to design broadly cross-reactive antibodies for comparative studies
Structure-function relationship studies:
Combine antibody epitope mapping with protein modeling
Identify conserved regions that might be essential for catalytic activity
Correlate structural conservation with substrate specificity
Stress response comparison:
Examine AtHDH1 protein levels under identical stress conditions across species
Correlate with ecological adaptations and stress tolerance
Identify species-specific regulatory mechanisms
Co-evolution with interacting proteins:
To investigate post-translational modifications (PTMs) of AtHDH1:
Modification-specific antibodies:
Generate or acquire antibodies specific to phosphorylated, acetylated, or ubiquitinated AtHDH1
Perform Western blots to detect changes in modification status under different conditions
Use competition assays with modified and unmodified peptides to confirm specificity
Mass spectrometry-based PTM mapping:
Immunoprecipitate AtHDH1 using validated antibodies
Perform tryptic digestion followed by LC-MS/MS analysis
Use neutral loss scanning for phosphorylation
Employ electron transfer dissociation (ETD) for modification site identification
Compare PTM patterns between different stress conditions
2D gel electrophoresis:
Separate proteins by isoelectric point and molecular weight
Use AtHDH1 antibodies to identify different protein species
Compare spot patterns after phosphatase treatment
Mobility shift assays:
Use Phos-tag acrylamide gels to separate phosphorylated from non-phosphorylated forms
Confirm phosphorylation with lambda phosphatase treatment
Detect with standard AtHDH1 antibodies
Site-directed mutagenesis validation:
Identify potential modification sites through in silico analysis and MS data
Generate site-specific mutants (S/T→A for phosphorylation, K→R for acetylation/ubiquitination)
Express in At4g20930 knockout background
Assess functional consequences on enzyme activity and stress responses
PTM-specific functional assays:
For comprehensive systems biology analysis integrating AtHDH1 antibody data:
Multi-level data acquisition:
Proteomics: AtHDH1 abundance and PTMs using antibody-based enrichment
Transcriptomics: RNA-seq to profile gene expression networks
Metabolomics: Targeted analysis of BCAA-related metabolites
Interactomics: Identify protein interaction networks using antibody-based pull-downs
Phenomics: Quantitative phenotyping of growth responses
Temporal and spatial resolution:
Tissue-specific sampling using microdissection followed by antibody-based detection
Time-course experiments with consistent sampling intervals
Subcellular fractionation to track protein movement between compartments
Data integration frameworks:
Correlation networks between protein abundance and metabolite levels
Causal modeling to infer regulatory relationships
Flux balance analysis incorporating enzyme abundance data
Pathway enrichment analysis incorporating multi-omics data
Validation experiments:
Use genetic perturbations (knockdown, overexpression) to test model predictions
Apply specific metabolic inhibitors to verify pathway dependencies
Perform in vitro enzyme assays to confirm predicted activities
Visualization and interpretation tools:
Pathway mapping with integrated multi-omics data
Temporal visualization of pathway dynamics
Network analysis to identify regulatory hubs
Cross-species comparative analysis:
Map findings to orthologous systems in crop species
Identify conserved and divergent regulatory mechanisms
Translate fundamental insights into applied agricultural contexts
Machine learning approaches: