At3g19440 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
At3g19440 antibody; MLD14.18 antibody; RNA pseudouridine synthase 4 antibody; mitochondrial antibody; EC 5.4.99.- antibody; RNA pseudouridylate synthase 4 antibody; RNA-uridine isomerase 4 antibody
Target Names
At3g19440
Uniprot No.

Target Background

Database Links

KEGG: ath:AT3G19440

STRING: 3702.AT3G19440.1

UniGene: At.38404

Protein Families
Pseudouridine synthase RluA family
Subcellular Location
Mitochondrion.

Q&A

What is At3g19440 and what is its functional significance in plant biology?

At3g19440 encodes a pseudouridine synthase family protein that is primarily localized to the mitochondrion according to subcellular localization databases . Pseudouridine synthases catalyze the isomerization of uridine to pseudouridine (Ψ), which is the most abundant modified RNA base identified in various non-coding RNAs including tRNA, rRNA, snRNA, and snoRNA . The conversion from uridine to pseudouridine enhances RNA structural stability and consequently affects critical cellular processes including rRNA processing, translation, and pre-mRNA splicing . This gene belongs to a family of enzymes similar to those found in E. coli, suggesting evolutionary conservation of this important RNA modification mechanism . In Arabidopsis, mitochondrial pseudouridine synthases like the one encoded by At3g19440 likely play roles in organellar RNA processing and stability, which impacts mitochondrial function and potentially influences plant stress responses.

How should researchers approach validation of At3g19440 antibody specificity?

For proper validation of At3g19440 antibody specificity, researchers should implement a multi-step approach:

  • Genetic controls: Test the antibody against wild-type plants and confirmed knockout mutants of At3g19440. The SALK_008491 line contains a large 14-kb deletion affecting multiple genes including several in proximity to the At3g19440 region, making it potentially useful for antibody validation studies if the deletion extends to At3g19440 .

  • Western blot analysis: Perform immunoblotting with protein extracts from different plant tissues, looking for a band of the expected molecular weight. Include recombinant At3g19440 protein as a positive control.

  • Cross-reactivity assessment: Test against closely related pseudouridine synthase family proteins to ensure specificity.

  • Immunoprecipitation followed by mass spectrometry: This confirms that the antibody pulls down the target protein.

  • Subcellular localization confirmation: The immunodetection pattern should match the expected mitochondrial localization pattern .

Each validation step should include appropriate controls to rule out non-specific binding, which is particularly important when working with plant tissues that contain numerous proteins and complex matrices.

What are the optimal sample preparation techniques for using At3g19440 antibodies in plant tissue?

When preparing plant samples for At3g19440 antibody applications, researchers should consider these tissue-specific protocols:

For protein extraction and immunoblotting:

  • Harvest tissue quickly and flash-freeze in liquid nitrogen to prevent protein degradation

  • Use extraction buffers containing protease inhibitors specifically optimized for plant mitochondrial proteins

  • Include reducing agents (DTT or β-mercaptoethanol) to maintain protein structure

  • Perform differential centrifugation to enrich for mitochondrial fractions where At3g19440 is predominantly localized

  • Validate protein loading using mitochondrial-specific markers such as alternative oxidase (AOX)

For immunohistochemistry:

  • Fix tissues with 4% paraformaldehyde to preserve protein structure and cellular architecture

  • Use gentle permeabilization methods (0.1-0.3% Triton X-100) to allow antibody access while preserving mitochondrial structures

  • Block with 3-5% BSA or normal serum to reduce non-specific binding

  • Include counterstains for mitochondria (e.g., MitoTracker) to confirm subcellular localization

  • Process wild-type and At3g19440 mutant tissues in parallel under identical conditions

The critical step for both applications is to maintain native protein conformation while ensuring antibody accessibility, particularly challenging for mitochondrial proteins like At3g19440.

How can researchers design experiments to study the role of At3g19440 in RNA modification pathways?

To investigate At3g19440's role in RNA modification, researchers should implement a comprehensive experimental strategy:

  • Genetic modification approaches:

    • Generate CRISPR-Cas9 knockout or knockdown lines specific to At3g19440

    • Create complementation lines expressing tagged versions of At3g19440 for localization studies

    • Develop inducible expression systems to study temporal effects of At3g19440 activity

  • RNA modification analysis:

    • Use antibody-based approaches with anti-pseudouridine antibodies to immunoprecipitate and identify pseudouridylated RNAs

    • Apply site-specific chemical labeling techniques to map pseudouridylation sites in mitochondrial transcripts

    • Employ high-throughput sequencing methods specifically designed to detect pseudouridine modifications

  • Functional studies:

    • Assess mitochondrial RNA stability in wild-type vs. At3g19440 mutant plants

    • Examine translation efficiency of mitochondrial-encoded proteins

    • Analyze plant phenotypes under conditions that challenge mitochondrial function (e.g., oxidative stress)

  • Interaction studies:

    • Use At3g19440 antibodies for co-immunoprecipitation to identify protein interaction partners

    • Perform RNA immunoprecipitation to identify RNA substrates targeted by At3g19440

Experimental ApproachTechnical MethodExpected OutcomeControls Needed
Genetic analysisCRISPR-Cas9 gene editingAt3g19440-specific knockoutWild-type, off-target analysis
RNA modification profilingPseudouridine-seqMap of Ψ modificationsRNA from knockout plants
Protein-RNA interactionsRNA immunoprecipitationAt3g19440 RNA targetsIgG control, RNase treatment
Functional assessmentMitochondrial activity assaysImpact on organelle functionMultiple T-DNA insertion lines

Why might researchers observe inconsistent results when using At3g19440 antibodies in plant experiments?

Inconsistent results with At3g19440 antibodies can stem from multiple factors:

  • Plant growth conditions: Different light regimes can significantly affect chloroplast and mitochondrial protein expression. Studies have shown that fluctuating light conditions dramatically alter expression patterns of organellar proteins in Arabidopsis . When working with At3g19440, standardize growth conditions (12/12-h light-dark cycles, consistent light intensity of approximately 120 μmol photons m−2 s−1).

  • Developmental stage variation: Pseudouridine synthase expression may vary throughout plant development. Always collect samples at precisely matched developmental stages to ensure comparability.

  • Antibody quality issues: Commercial antibodies against pseudouridine or pseudouridine synthases can vary in specificity and sensitivity . Thorough validation is essential, including testing against multiple plant genotypes and recombinant protein standards.

  • Extraction protocol limitations: The mitochondrial localization of At3g19440 requires specialized extraction protocols. Standard whole-cell protein extraction methods may yield variable recovery of mitochondrial proteins. Consider subcellular fractionation to enrich for mitochondrial proteins before immunodetection.

  • Post-translational modifications: Pseudouridine synthases may undergo modifications affecting antibody recognition. Compare reducing and non-reducing conditions during sample preparation to assess potential disulfide bond involvement.

  • Genetic background effects: In T-DNA insertion lines, large deletions affecting multiple genes (as seen in SALK_008491, which has a 14-kb deletion affecting six genes ) can produce complex phenotypes not attributable to a single gene. Always verify the exact genetic lesion in any mutant line used.

How can researchers optimize immunodetection protocols for low-abundance At3g19440 protein?

For detecting low-abundance At3g19440 protein, researchers should implement these specialized techniques:

  • Sample enrichment strategy:

    • Perform subcellular fractionation to isolate mitochondria

    • Use immunoprecipitation to concentrate the target protein

    • Apply TCA precipitation for total protein concentration while maintaining protein integrity

  • Western blot optimization:

    • Increase protein loading (50-100 μg for mitochondrial fractions)

    • Use high-sensitivity detection methods (ECL Prime or femto-level detection reagents)

    • Transfer proteins to PVDF membranes (rather than nitrocellulose) for better protein retention

    • Extend primary antibody incubation to overnight at 4°C with gentle agitation

    • Optimize blocking conditions (5% non-fat dry milk vs. BSA) to determine lowest background

  • Signal amplification techniques:

    • Implement biotinylated secondary antibodies with streptavidin-HRP

    • Use tyramide signal amplification for immunohistochemistry applications

    • Consider indirect ELISA formats with multiple detection layers

  • Positive control strategy:

    • Include recombinant At3g19440 protein at known concentrations

    • Generate a standard curve for quantification purposes

    • Use tissues known to have higher pseudouridine synthase activity

This comprehensive approach maximizes sensitivity while maintaining specificity for detecting At3g19440 protein even when present at low levels.

What approaches should researchers use to quantify At3g19440 expression changes under stress conditions?

For accurate quantification of At3g19440 expression changes under stress conditions, researchers should implement the following comprehensive approach:

  • Experimental design considerations:

    • Include multiple biological replicates (minimum n=3, preferably n=5)

    • Apply stress treatments in controlled environments using DEPI (Dynamic Environmental Photosynthetic Imaging) or similar systems

    • Incorporate appropriate time series sampling to capture expression dynamics

    • Analyze multiple tissues separately as expression may vary by tissue type

  • Quantification methods:

    • For Western blot analysis, use fluorescent secondary antibodies rather than chemiluminescence for better linear range of detection

    • Normalize At3g19440 protein levels to multiple housekeeping proteins or total protein stains

    • Apply software like ImageJ with appropriate background correction

    • For transcription analysis, use RT-qPCR with verified stable reference genes under the specific stress conditions

  • Statistical analysis:

    • Apply appropriate statistical tests (ANOVA with post-hoc tests for multiple comparisons)

    • Use linear mixed-effects models to account for experimental batch effects

    • Calculate effect sizes (Cohen's d) in addition to p-values for better interpretation of biological significance

    • Consider power analysis to ensure adequate sample size for detecting expected effect magnitudes

Analysis ParameterRecommended ApproachJustification
Normalization strategyTotal protein normalization (Stain-Free or Ponceau)Less affected by stress than individual housekeeping proteins
Statistical comparisonRepeated measures ANOVAAccounts for time-course dynamics in stress response
Validation methodParallel RNA-seq and proteomic analysisConfirms changes at both transcript and protein levels
Data presentationBox plots with individual data pointsTransparently shows data distribution and outliers

How can researchers distinguish between functional roles of At3g19440 and other pseudouridine synthase family members?

Distinguishing the specific functions of At3g19440 from other pseudouridine synthase family members requires a multi-layered experimental approach:

  • Phylogenetic and structural analysis:

    • Conduct comparative sequence analysis of all pseudouridine synthase family members in Arabidopsis

    • Generate structural models to identify unique domains or motifs in At3g19440

    • Analyze substrate-binding regions to predict RNA target specificity

  • Specificity determination:

    • Use antibodies against At3g19440 to immunoprecipitate and sequence associated RNAs

    • Map pseudouridylation sites in RNA using CMC (N-cyclohexyl-N'-(2-morpholinoethyl)carbodiimide) treatment followed by reverse transcription

    • Compare pseudouridylation patterns in wild-type vs. At3g19440 mutant plants

  • Functional complementation:

    • Generate multiple single and combined knockouts of pseudouridine synthase family members

    • Create chimeric proteins with domain swaps between At3g19440 and other family members

    • Perform cross-species complementation with pseudouridine synthases from other organisms

  • Organelle-specific functions:

    • Analyze mitochondrial RNA processing and stability in At3g19440 mutants

    • Compare mitochondrial translation efficiency using ribosome profiling

    • Assess mitochondrial function under various stress conditions

By implementing this comparative framework, researchers can delineate the specific contribution of At3g19440 to pseudouridylation patterns and cellular functions, distinguishing it from the roles of other family members.

How might At3g19440 antibodies be utilized in studies of plant stress response mechanisms?

At3g19440 antibodies can be powerful tools for investigating plant stress response mechanisms through these advanced applications:

  • Stress-responsive protein dynamics:

    • Track At3g19440 protein levels during exposure to abiotic stressors (drought, heat, light fluctuations)

    • Compare protein redistribution within cellular compartments under stress using immunofluorescence

    • Assess post-translational modifications using modification-specific antibodies in parallel

  • Protein-protein interaction networks:

    • Use At3g19440 antibodies for co-immunoprecipitation followed by mass spectrometry

    • Identify stress-specific interaction partners that may regulate pseudouridine synthase activity

    • Implement proximity labeling approaches to capture transient interactions during stress response

  • RNA modification landscape changes:

    • Combine At3g19440 immunoprecipitation with RNA sequencing to profile substrate changes

    • Map pseudouridylation sites that appear or disappear under different stress conditions

    • Correlate pseudouridylation changes with RNA stability and translation efficiency

The DEPI (Dynamic Environmental Photosynthetic Imaging) approach, which allows for controlled light stress treatments, has revealed that fluctuating light conditions can trigger significant changes in photosynthetic parameters that differ between wild-type plants and mutants affecting chloroplast and potentially mitochondrial function . This experimental system could be particularly valuable for studying At3g19440's role in stress adaptation.

What emerging technologies could enhance research on At3g19440 function and pseudouridine modifications?

Several cutting-edge technologies are poised to significantly advance At3g19440 research:

  • Direct RNA sequencing technologies:

    • Nanopore direct RNA sequencing can detect pseudouridine modifications without chemical treatment

    • Single-molecule real-time (SMRT) sequencing offers another approach for direct detection of modified bases

    • These methods provide site-specific maps of pseudouridylation across the transcriptome

  • CRISPR-based approaches:

    • Prime editing or base editing for precise modification of At3g19440 catalytic sites

    • CRISPRi for conditional knockdown to study temporal aspects of At3g19440 function

    • CRISPR activation systems to upregulate At3g19440 expression in specific tissues

  • Proteomics advancements:

    • Hydrogen-deuterium exchange mass spectrometry to study At3g19440 structural dynamics

    • Cross-linking mass spectrometry to capture RNA-protein interaction sites

    • Targeted proteomics (PRM/MRM) for absolute quantification of At3g19440 protein levels

  • Imaging innovations:

    • Super-resolution microscopy for precise localization within mitochondrial subcompartments

    • Live-cell imaging of fluorescently tagged At3g19440 to track dynamics during stress response

    • Correlative light and electron microscopy to link protein location with ultrastructural features

  • Computational approaches:

    • Machine learning algorithms to predict pseudouridylation sites and functional impacts

    • Molecular dynamics simulations to study enzyme-substrate interactions

    • Systems biology modeling to integrate pseudouridine modifications into RNA regulatory networks

Implementation of these technologies would provide unprecedented insights into the molecular mechanisms and biological significance of At3g19440-mediated RNA modifications in plant biology.

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