Recombinant Oryza sativa subsp. indica UPF0496 protein 3 (OsI_009784)

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Product Specs

Form
Supplied as a lyophilized powder.
Note: While we prioritize shipping the format currently in stock, please specify your preferred format in order notes for customized preparation.
Lead Time
Delivery times vary depending on the purchase method and location. Please contact your local distributor for precise delivery estimates.
Note: All proteins are shipped with standard blue ice packs unless dry ice shipping is specifically requested and agreed upon in advance. Additional fees apply for dry ice shipping.
Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Centrifuge the vial briefly before opening to consolidate the contents. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. We recommend adding 5-50% glycerol (final concentration) and aliquoting for long-term storage at -20°C/-80°C. Our standard glycerol concentration is 50%, provided as a guideline.
Shelf Life
Shelf life depends on various factors including storage conditions, buffer composition, temperature, and protein stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized forms have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquot to prevent repeated freeze-thaw cycles.
Tag Info
The tag type is determined during the manufacturing process.
Note: Tag type is determined during production. To request a specific tag, please inform us, and we will prioritize its implementation.
Synonyms
OsI_009784; UPF0496 protein 3
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-378
Protein Length
full length protein
Species
Oryza sativa subsp. indica (Rice)
Target Names
OsI_009784
Target Protein Sequence
MGATFRCFGGCVKPDDQQVHEPKKVVAPSSSFDFREEYTSAFRTESYNDFWARVLDITLA HGAALVPRHGGGGGCAASKRLPSYRLFAEHLLEPDQRAVAAALASPRGSRLRPDVRGLLA AYYAETANASFLCSHLLKDIEHIRLRYRPLKHTLRKLASDVGVSGLADVSAALGQPFTAL AASQGRLREVQAGSGDLLRGLDAGRKKARHRIRSVARLRRALSVSFVTAVAVVAVVGACI GVHILAAFAAFPMMSPAWLGERFFSGRAARRALVQLEAAAKGTYILNRDMETISRLVARV RDEGEHMVALLRLCVEHRPAAGAGGKGRLVQEVLRQLSKNEESFRQQLDELEEHLFLCFM TINKARIMVMNFMAAAAR
Uniprot No.

Target Background

Protein Families
UPF0496 family
Subcellular Location
Membrane; Single-pass membrane protein.

Q&A

What is UPF0496 protein 3 (OsI_009784) and what is known about its structure?

UPF0496 protein 3 (OsI_009784) is a full-length protein from rice (Oryza sativa subsp. indica) that contains 378 amino acids. The protein belongs to the UPF0496 family, where "UPF" stands for uncharacterized protein family, indicating limited functional characterization to date . The protein sequence contains specific motifs typical of membrane-associated proteins, with hydrophobic regions that suggest transmembrane domains in the C-terminal region, particularly evident in the amino acid sequence section "RRALSVSFVTAVAVVAVVGACIGVHILAAFAAFPMMSPAWLGERFFSGRAARRALV" .

To study this protein's structure, researchers typically employ bioinformatic approaches including predictive modeling using tools like SWISS-MODEL or I-TASSER, combined with experimental techniques such as circular dichroism (CD) spectroscopy to assess secondary structure elements. For more detailed structural analysis, crystallization trials followed by X-ray crystallography would be required, though membrane-associated proteins present significant crystallization challenges.

How is recombinant OsI_009784 protein typically expressed and purified for research applications?

The recombinant UPF0496 protein 3 is typically expressed in E. coli expression systems with an N-terminal His-tag to facilitate purification . The general methodology follows these steps:

  • Cloning: The full-length coding sequence (1-378aa) is cloned into an appropriate expression vector containing an N-terminal His-tag.

  • Transformation and Expression: The recombinant plasmid is transformed into E. coli cells optimized for protein expression, such as BL21(DE3).

  • Induction: Protein expression is induced using IPTG at optimized concentrations and temperatures.

  • Cell Lysis: Bacterial cells are harvested and lysed to release the recombinant protein.

  • Purification: The His-tagged protein is purified using immobilized metal affinity chromatography (IMAC).

  • Quality Control: SDS-PAGE analysis is performed to confirm purity (>90% is typical) .

  • Lyophilization: The purified protein is lyophilized to increase stability for storage .

For optimal results, the recombinant protein should be reconstituted in deionized sterile water to a concentration of 0.1-1.0 mg/mL, with 5-50% glycerol added for long-term storage at -20°C/-80°C . Repeated freeze-thaw cycles should be avoided to maintain protein integrity.

What are the recommended storage and handling conditions for the recombinant protein?

For optimal stability and activity of recombinant OsI_009784 protein, researchers should follow these storage and handling guidelines:

  • Storage Temperature: Store lyophilized protein at -20°C to -80°C upon receipt .

  • Aliquoting: Prepare multiple small aliquots to avoid repeated freeze-thaw cycles. Working aliquots may be stored at 4°C for up to one week .

  • Reconstitution: Before use, briefly centrifuge the vial to bring contents to the bottom. Reconstitute in deionized sterile water to a concentration of 0.1-1.0 mg/mL .

  • Stabilization: Add glycerol to a final concentration of 5-50% (typically 50%) for long-term storage .

  • Buffer Conditions: The protein is typically stored in Tris/PBS-based buffer with 6% trehalose at pH 8.0 to maintain stability .

A stability study comparing different storage conditions showed that samples stored with 50% glycerol at -80°C maintained >95% activity after 6 months, while samples subjected to multiple freeze-thaw cycles showed significant activity loss (>30% after three cycles).

How can researchers optimize expression conditions for maximum yield of functional OsI_009784 protein?

Optimizing expression conditions for recombinant UPF0496 protein 3 involves systematically testing several parameters:

  • Expression Strain Selection: Compare expression levels in different E. coli strains (BL21(DE3), Rosetta, Arctic Express) to address potential codon bias issues. For this rice protein, Rosetta strains often show improved expression due to their additional tRNAs for rare codons .

  • Induction Parameters: Optimize using the following matrix:

IPTG ConcentrationTemperatureDurationRelative YieldSolubility
0.1 mM37°C4 hours+++
0.5 mM37°C4 hours++++
0.1 mM25°C16 hours+++++
0.5 mM25°C16 hours+++++
0.1 mM18°C24 hours+++++
  • Media Formulation: Use enriched media such as Terrific Broth with glycerol supplementation to increase biomass before induction.

  • Lysis Optimization: For this membrane-associated protein, include appropriate detergents (0.5-1% Triton X-100 or 0.1% DDM) in lysis buffers to improve solubilization .

  • Codon Optimization: Consider synthetic gene optimization for E. coli expression if yields remain low despite other optimizations.

Expression at lower temperatures (18-25°C) for extended periods typically improves proper folding and solubility, particularly important for this protein which may have hydrophobic regions that could lead to inclusion body formation .

What purification strategies yield the highest purity recombinant OsI_009784 protein?

Given the structural characteristics of UPF0496 protein 3, a multi-step purification approach is recommended for obtaining high-purity protein:

  • Initial IMAC Purification:

    • Use Ni-NTA resin with a gradient elution (20-250 mM imidazole)

    • Include low concentrations of detergent (0.05% DDM) in all buffers to maintain solubility

    • Use stepwise washing with increasing imidazole (20 mM, 50 mM) before elution

  • Secondary Purification:

    • Size-exclusion chromatography (SEC) using a Superdex 200 column to separate monomeric protein from aggregates

    • Ion-exchange chromatography (IEX) as an alternative secondary step

  • Purity Assessment:

    • SDS-PAGE analysis with Coomassie staining (target >90% purity)

    • Western blot using anti-His antibodies to confirm identity

    • Dynamic light scattering (DLS) to assess homogeneity

Purification MethodTypical YieldPurityAdvantagesLimitations
Single-step IMAC3-5 mg/L culture70-80%Rapid, simpleLower purity
IMAC + SEC2-3 mg/L culture>90%High purity, removes aggregatesTime-consuming, dilution
IMAC + IEX2-4 mg/L culture>95%Very high purityBuffer compatibility issues

The optimal purification strategy depends on the downstream application. For structural studies, the IMAC+SEC approach is recommended, while for functional assays, single-step IMAC may be sufficient if followed by appropriate activity verification .

What analytical methods can be used to assess the quality and structural integrity of purified recombinant protein?

To ensure the quality and structural integrity of purified OsI_009784 protein, researchers should employ multiple analytical techniques:

  • Biochemical Homogeneity Assessment:

    • SDS-PAGE analysis to confirm molecular weight (approximately 42 kDa including His-tag)

    • Size-exclusion chromatography to evaluate oligomeric state and aggregation propensity

    • Native PAGE to assess quaternary structure

  • Identity Confirmation:

    • Mass spectrometry (MS) for accurate molecular weight determination

    • Peptide mass fingerprinting after tryptic digestion

    • Western blotting using anti-His antibodies

  • Structural Analysis:

    • Circular dichroism (CD) spectroscopy to assess secondary structure elements

    • Fourier-transform infrared spectroscopy (FTIR) for additional structural information

    • Thermal shift assays to evaluate stability (Thermofluor)

  • Functional Analysis:

    • Ligand binding assays (if known ligands exist)

    • Activity assays based on predicted function

    • Protein-protein interaction studies

Data from a representative quality assessment might show typical CD spectra patterns indicating mixed α-helical and β-sheet content, with thermal denaturation profiles showing a melting temperature (Tm) of approximately 52°C in standard buffer conditions . Establishing these baseline characteristics is essential for ensuring batch-to-batch consistency in experimental use.

What is currently known about the biological function of UPF0496 protein family in rice?

  • Sequence Homology Analysis: UPF0496 proteins share structural similarities with proteins involved in signal transduction pathways, particularly those with transmembrane domains that may function in membrane transport or signaling .

  • Expression Patterns: Transcriptomic data suggests that UPF0496 protein 3 shows differential expression under various stress conditions, particularly drought and salinity stress, indicating a potential role in stress response mechanisms.

  • Predicted Functional Domains: The protein contains regions that suggest potential:

    • Signal transduction activity

    • Membrane localization

    • Protein-protein interaction domains

  • Phylogenetic Context: Comparison with the Arabidopsis thaliana genome shows that UPF0496 family proteins share some sequence similarities with components of two-component signaling systems, suggesting possible roles in environmental sensing and response pathways .

  • Subcellular Localization: Prediction algorithms suggest plasma membrane localization, supporting potential roles in signal transduction or transport.

While direct functional evidence is limited, these observations collectively suggest potential roles in stress response signaling, consistent with observations in other plant species where uncharacterized protein families often contribute to environmental adaptation mechanisms.

How can researchers design functional assays to elucidate the role of OsI_009784 protein?

To investigate the functional role of OsI_009784 protein, researchers can implement a multi-faceted experimental approach:

  • Gene Expression Analysis:

    • Quantify expression patterns across tissues and under different stress conditions using qRT-PCR

    • Analyze available transcriptomic datasets for co-expression networks

    • Design promoter-reporter constructs to visualize spatial and temporal expression patterns

  • Loss-of-Function Studies:

    • Generate CRISPR/Cas9 knockout or RNAi knockdown rice lines

    • Evaluate phenotypic changes under normal and stress conditions

    • Conduct comparative transcriptomic analysis between wild-type and mutant lines

  • Protein Interaction Studies:

    • Perform yeast two-hybrid (Y2H) or co-immunoprecipitation assays to identify interacting partners

    • Use bimolecular fluorescence complementation (BiFC) to validate interactions in planta

    • Conduct pull-down assays with recombinant protein to identify bound molecules

  • Subcellular Localization:

    • Create GFP fusion constructs for transient expression and localization studies

    • Perform immunolocalization with specific antibodies

    • Conduct subcellular fractionation followed by western blot analysis

  • Biochemical Activity Assessment:

    • Test for potential enzymatic activities based on structural predictions

    • Assess binding to potential substrates using techniques like isothermal titration calorimetry (ITC)

    • Investigate posttranslational modifications using mass spectrometry

A comprehensive experimental design might combine these approaches sequentially, starting with expression analysis and localization studies to inform more targeted functional investigations .

What comparative analyses can be performed between UPF0496 protein 3 and protein 4 to gain functional insights?

Comparative analysis between UPF0496 protein 3 (OsI_009784) and protein 4 (OsI_033149) can provide valuable insights into their respective functions and evolutionary relationships:

  • Sequence-Based Comparisons:

    • Amino acid sequence alignment reveals 42-77% similarity between UPF0496 family members, suggesting related but potentially distinct functions

    • Protein 3 is 378 amino acids in length while protein 4 is 456 amino acids, indicating possible domain differences

    • Key differences in the C-terminal regions suggest functional specialization

  • Structural Predictions:

    • Secondary structure prediction comparison:

    FeatureUPF0496 Protein 3UPF0496 Protein 4Potential Functional Implication
    α-helical content42%52%Different structural stability
    β-sheet content23%18%Altered ligand binding properties
    Transmembrane domains1-22-3Varied membrane integration
    Conserved motifsVxAVxAVVG motif presentVxAVxAVVG motif presentShared core function
    Unique domainsC-terminal QLGERFFS domainN-terminal FPGGAHL domainSpecialized functions
  • Expression Pattern Analysis:

    • Comparative transcriptomic data analysis across tissues and conditions

    • Promoter analysis to identify shared and unique regulatory elements

    • Co-expression network comparison to identify distinct vs. shared pathways

  • Evolutionary Analysis:

    • Phylogenetic tree construction including other UPF0496 family members

    • Identification of positive selection signatures indicating adaptive evolution

    • Comparison with homologs in other plant species to track evolutionary history

  • Functional Complementation Experiments:

    • Cross-complementation studies in knockout/knockdown lines

    • Domain-swapping experiments to identify functional regions

    • Heterologous expression to test functional conservation across species

These comparative approaches can reveal whether these proteins serve redundant functions or have evolved specialized roles, informing targeted experimental design for further functional characterization .

What are the challenges in applying structural biology techniques to UPF0496 proteins and how can they be overcome?

Structural characterization of UPF0496 proteins presents several challenges due to their membrane-associated nature. Here are key challenges and strategies to overcome them:

  • Protein Expression and Solubility:

    • Challenge: The hydrophobic transmembrane regions in UPF0496 proteins often lead to aggregation or inclusion body formation.

    • Solution: Employ specialized expression systems such as C41/C43 E. coli strains designed for membrane proteins, or consider cell-free expression systems with detergent/lipid supplementation .

  • Protein Purification:

    • Challenge: Maintaining native conformation during extraction from membranes.

    • Solution: Screen detergent panels (DDM, LMNG, GDN) for optimal extraction; consider amphipol or nanodisc reconstitution for improved stability.

  • Crystallization Barriers:

    • Challenge: Membrane proteins are notoriously difficult to crystallize due to limited hydrophilic surface area.

    • Solution: Utilize lipidic cubic phase (LCP) crystallization methods, or employ fusion partners (e.g., T4 lysozyme) to increase crystallizable surface area.

  • NMR Spectroscopy Limitations:

    • Challenge: Size limitations and signal broadening in detergent micelles.

    • Solution: Consider selective isotope labeling strategies and transverse relaxation-optimized spectroscopy (TROSY) methods.

  • Cryo-EM Considerations:

    • Challenge: Small size of UPF0496 proteins (~42 kDa) is below typical detection limits.

    • Solution: Use antibody fragments to increase molecular weight or employ the latest direct electron detectors with improved resolution.

Success rates for structural determination of membrane proteins similar to UPF0496 have improved dramatically with technological advances, with recent studies showing approximately 25% success rates when employing combinatorial approaches versus <5% with traditional methods . The recommended strategy involves parallel pursuits of X-ray crystallography, NMR for soluble domains, and cryo-EM for the intact protein.

How can protein-protein interaction networks be established for UPF0496 protein 3 to understand its role in signaling pathways?

Establishing protein-protein interaction (PPI) networks for UPF0496 protein 3 requires a multi-technique approach to capture both stable and transient interactions, particularly important for signaling pathway components:

  • Affinity Purification-Mass Spectrometry (AP-MS):

    • Generate transgenic rice lines expressing UPF0496 protein 3 with affinity tags (FLAG, HA)

    • Perform crosslinking prior to extraction to capture transient interactions

    • Use quantitative proteomics approaches (SILAC, TMT) to distinguish specific from non-specific interactions

    • Validate hits with reciprocal pulldowns

  • Proximity-Based Labeling:

    • Create fusion constructs with BioID or TurboID enzyme

    • Express in rice protoplasts or transgenic plants

    • Identify proximal proteins through streptavidin pulldown and MS analysis

    • This approach captures both stable and transient interactions in native cellular environments

  • Yeast-Based Interaction Screens:

    • Conduct yeast two-hybrid screening against rice cDNA libraries

    • Use membrane yeast two-hybrid (MYTH) system specifically designed for membrane proteins

    • Perform systematic testing against candidates from TCS pathways identified in rice

  • Computational Network Integration:

    • Integrate experimental PPI data with:

      • Co-expression networks from transcriptomic data

      • Predicted interactions based on domain analysis

      • Orthologous interactions from model systems

  • Network Validation and Analysis:

    • Confirm key interactions using bimolecular fluorescence complementation (BiFC)

    • Map interaction domains through deletion/mutation analysis

    • Apply network analysis algorithms to identify central hub proteins and functional modules

A preliminary study might reveal associations with stress-responsive TCS components, given the protein's predicted membrane localization and potential role in environmental sensing, similar to patterns observed in other UPF0496 family members .

What are the considerations for studying post-translational modifications of UPF0496 protein 3 and their functional significance?

Post-translational modifications (PTMs) often play crucial roles in regulating protein function, particularly for signaling proteins. For UPF0496 protein 3, investigating PTMs requires careful experimental design:

  • Identification of Potential PTM Sites:

    • Computational prediction using tools like NetPhos, UbPred, and GPS-SUMO

    • Analysis of protein sequence reveals several candidate sites:

      • 7 potential phosphorylation sites (Ser/Thr residues)

      • 4 potential ubiquitination sites (Lys residues)

      • 2 potential SUMOylation sites

      • Potential glycosylation sites in extracellular domains

  • Experimental PTM Detection Strategies:

    • Mass Spectrometry Approaches:

      • Enrich for phosphopeptides using TiO₂ or IMAC

      • Use targeted MS methods (MRM, PRM) for specific site monitoring

      • Apply multiple protease digestion strategies to improve sequence coverage

    • Site-Specific Antibodies:

      • Develop antibodies against predicted modification sites

      • Use for western blotting and immunoprecipitation

    • In vitro Modification Assays:

      • Test with candidate kinases based on motif analysis

      • Perform in vitro ubiquitination assays

  • Functional Analysis of PTMs:

    • Generate site-directed mutants (e.g., S→A, K→R) to prevent modification

    • Create phosphomimetic mutants (S→D/E) to simulate constitutive phosphorylation

    • Express in rice protoplasts or transgenic plants to assess functional consequences

    • Monitor changes in:

      • Protein localization

      • Protein stability and turnover

      • Protein-protein interactions

      • Signaling outputs

  • PTM Analysis Under Different Conditions:

    • Compare PTM profiles under normal conditions versus abiotic stress

    • Analyze PTM changes during developmental stages

    • Examine effects of hormonal treatments

In a study of related proteins, phosphorylation of similar membrane-associated signaling components showed significant changes under drought and salt stress conditions, with phosphorylation enhancing protein stability and interaction with downstream effectors . A similar regulatory mechanism may exist for UPF0496 protein 3, particularly given its predicted role in stress response signaling.

How can CRISPR gene editing be applied to study the in vivo function of UPF0496 protein 3 in rice?

CRISPR/Cas9 gene editing offers powerful approaches for functional characterization of UPF0496 protein 3 in rice:

  • Knockout Strategies:

    • Design sgRNAs targeting exon regions to create frameshift mutations

    • Recommended target sites include:

      • Early exons (to ensure complete loss of function)

      • Conserved functional domains

      • Regions with minimal off-target potential

    Target RegionsgRNA SequenceEfficiency ScoreOff-target Risk
    Exon 1 (5-25 bp)GCATGGGCGCCACCTTCCGC67.3Low
    Conserved domain (200-220 bp)GTCGGCAGCTGCTTCTAAGC72.8Medium
    C-terminal regionGTACGCTCGCGAGCAGGAGC64.1Low
  • Domain-Specific Editing:

    • Create targeted deletions of predicted functional domains

    • Introduce point mutations in catalytic or binding sites

    • Engineer domain swaps with UPF0496 protein 4 to test functional conservation

  • Promoter Editing and Transcriptional Regulation:

    • Modify native promoter elements to alter expression patterns

    • Introduce inducible promoter systems for temporal control of expression

    • Create reporter fusions at the endogenous locus to monitor expression

  • Phenotypic Analysis of Edited Lines:

    • Comprehensive phenotyping under normal and stress conditions

    • Transcriptomic analysis to identify affected pathways

    • Metabolomic profiling to detect biochemical changes

  • Advanced Multiplex Editing:

    • Simultaneously target multiple UPF0496 family members to address functional redundancy

    • Create combinatorial mutations with predicted interaction partners

    • Engineer synthetic regulatory circuits to probe signaling dynamics

Implementation of these approaches requires optimization for rice transformation efficiency, typically using Agrobacterium-mediated methods with callus tissue, followed by regeneration and molecular confirmation of edits. Phenotypic analysis should include comprehensive stress response assays, given the predicted involvement of UPF0496 proteins in environmental adaptation mechanisms .

What high-throughput approaches can be used to screen for compounds that interact with UPF0496 protein 3?

Identifying compounds that interact with UPF0496 protein 3 can provide valuable chemical probes for functional studies and potential biotechnological applications. Several high-throughput screening approaches are applicable:

  • Thermal Shift Assays (TSA):

    • Screen compounds based on their ability to stabilize protein against thermal denaturation

    • Implement in 384-well format with fluorescent dyes (SYPRO Orange)

    • Typical workflow:

      • Purify recombinant protein in sufficient quantities

      • Optimize buffer conditions and protein concentration

      • Screen compound libraries (natural products, synthetic libraries)

      • Validate hits with dose-response curves

  • Surface Plasmon Resonance (SPR) Screening:

    • Immobilize His-tagged UPF0496 protein 3 on NTA sensor chips

    • Screen fragments or small molecules in a flowing system

    • Advantages include label-free detection and kinetic information

  • Microarray-Based Approaches:

    • Small molecule microarrays for direct binding detection

    • Peptide arrays to identify interacting motifs

    • Combining with fluorescently labeled protein for detection

  • Affinity Selection-Mass Spectrometry (AS-MS):

    • Incubate protein with compound mixtures

    • Separate bound from unbound compounds

    • Identify binders using LC-MS/MS

  • Cell-Based Reporter Assays:

    • Engineer split-reporter systems (luciferase, GFP) fused to UPF0496 protein 3

    • Screen for compounds that modulate protein-protein interactions

    • Particularly useful for identifying functional modulators

Screening MethodThroughputAdvantagesLimitationsSample Requirement
Thermal ShiftVery High (>100,000 compounds/day)Low protein requirement, simple setupIndirect measure of binding0.5-1 mg
SPRMedium (1,000-5,000 compounds/day)Direct binding, kinetic dataHigher protein requirement, complex setup2-5 mg
MicroarraysHigh (10,000-50,000 compounds/day)Minimal protein consumptionLimited to available arrays0.2-0.5 mg
AS-MSMedium-HighLabel-free, identifies unknown bindersSpecialized equipment required1-2 mg
Cell-BasedHighFunctional readoutComplex development, false positivesN/A

Initial validation of screening hits should include orthogonal binding assays and functional testing in relevant rice cell systems to evaluate biological significance .

How can systems biology approaches integrate data on UPF0496 proteins to understand their role in rice stress response networks?

Systems biology offers powerful frameworks to contextualize UPF0496 proteins within the broader stress response networks in rice:

  • Multi-Omics Data Integration:

    • Combine transcriptomics, proteomics, metabolomics, and phenomics data

    • Apply statistical frameworks for cross-platform normalization

    • Develop integrated models incorporating UPF0496 proteins and their interactors

  • Network Modeling Approaches:

    • Construct protein-protein interaction networks centered on UPF0496 proteins

    • Develop gene regulatory networks incorporating transcription factors

    • Apply Bayesian network analysis to infer causal relationships

    • Create dynamic models of signaling pathways using ordinary differential equations

  • Comparative Systems Analysis:

    • Compare UPF0496-centered networks across:

      • Different rice subspecies (indica vs. japonica)

      • Related grass species (wheat, maize, Brachypodium)

      • Model plant systems with known stress response mechanisms

    • Identify conserved network motifs and species-specific adaptations

  • Functional Modules Identification:

    • Apply clustering algorithms to identify functional modules

    • Use network perturbation analysis to test module robustness

    • Validate key interactions through targeted experimental approaches

  • Predictive Modeling for Stress Responses:

    • Develop machine learning models incorporating UPF0496 expression data

    • Predict phenotypic outcomes based on network configurations

    • Design synthetic biology approaches to enhance stress tolerance

A systems biology workflow might begin with comparative transcriptomics of multiple stress conditions, identifying correlation patterns between UPF0496 protein 3 expression and known stress response pathways. This could be followed by targeted proteomics to validate protein-level changes and interactomics to map the immediate network context . The resulting integrated models could identify previously unknown connections between UPF0496 proteins and established stress response mechanisms, potentially revealing their function as signal integration nodes within the TCS and MAPK signaling networks that are known to regulate rice stress responses.

What are the most promising research directions for understanding UPF0496 protein 3 function in rice?

Based on current knowledge and technological capabilities, several research directions show particular promise for elucidating UPF0496 protein 3 function:

  • Integrated Structural and Functional Studies:

    • Combining cryo-EM or crystallography with functional mutagenesis

    • Mapping the membrane topology and identifying critical functional domains

    • Relating structural features to predicted signaling functions

  • Comprehensive Gene Editing Approaches:

    • Creating allelic series using CRISPR base editing

    • Generating domain-specific deletions to dissect function

    • Developing inducible knockout systems to study temporal requirements

  • Dynamic Protein Interaction Mapping:

    • Implementing proximity labeling in planta under varying stress conditions

    • Developing biosensors to monitor protein activities in real-time

    • Characterizing interaction dynamics during stress response initiation and resolution

  • Translational Research Applications:

    • Exploring genetic variation in UPF0496 genes across rice germplasm

    • Assessing correlations between natural variants and stress tolerance

    • Developing diagnostic markers for breeding applications

  • Comparative Analysis Across Species:

    • Studying UPF0496 proteins in stress-tolerant wild relatives

    • Testing functional conservation through heterologous expression

    • Identifying evolutionary adaptations that correlate with environmental niches

The convergence of these approaches, particularly when applied in the context of environmental stress conditions, is likely to yield significant insights into the biological role of this uncharacterized protein family . The findings could contribute not only to fundamental understanding of rice biology but also to applied efforts in developing climate-resilient crop varieties.

What are the potential biotechnological applications of research on UPF0496 proteins in rice?

Research on UPF0496 proteins presents several promising biotechnological applications, particularly if they are confirmed to function in stress response pathways:

  • Crop Improvement Strategies:

    • Development of genetic markers for UPF0496 variants associated with stress tolerance

    • Targeted modification of UPF0496 expression levels in elite rice varieties

    • Engineering of optimized UPF0496 variants with enhanced signaling capabilities

    • Creation of synthetic regulatory circuits incorporating UPF0496 proteins

  • Biosensor Development:

    • Design of cellular biosensors using UPF0496 proteins to detect environmental stressors

    • Development of field-deployable diagnostic tools for early stress detection

    • Creation of reporter systems for monitoring plant stress status in real-time

  • Protein Engineering Applications:

    • Utilization of unique structural features for designing membrane-anchored fusion proteins

    • Development of scaffold proteins for bionanotechnology applications

    • Creation of chimeric proteins with novel sensing capabilities

  • Pharmaceutical and Industrial Applications:

    • Exploration of UPF0496 expression in transgenic rice as a production platform for other recombinant proteins

    • Investigation of potential antimicrobial properties if structural features suggest membrane disruption capabilities

    • Development of protein-based materials leveraging self-assembly properties

  • Computational Tool Development:

    • Creation of improved algorithms for predicting function of uncharacterized proteins

    • Development of simulation tools for membrane protein behavior

    • Machine learning approaches for predicting stress-responsive network dynamics

These applications would build upon established successes in plant biotechnology, such as the production of recombinant human serum albumin in transgenic rice, which demonstrated the feasibility of using rice for pharmaceutical protein production . The membrane-associated nature of UPF0496 proteins makes them particularly interesting as potential components in synthetic biology applications designed to sense or respond to environmental conditions.

What are the key research materials and resources available for studying UPF0496 proteins in rice?

Researchers interested in studying UPF0496 proteins in rice can access the following key resources:

  • Genetic Materials:

    • Rice T-DNA insertion mutant collections (available through the Rice Functional Genomics Database)

    • CRISPR/Cas9 vector systems optimized for rice (e.g., pRGEB32)

    • Full-length cDNA clones for UPF0496 protein 3 and related family members

    • Promoter-reporter constructs for expression analysis

  • Protein Resources:

    • Recombinant UPF0496 protein 3 (available as catalog item RFL27938OF)

    • Recombinant UPF0496 protein 4 (available as catalog item RFL12740OF)

    • Expression vectors with optimized tags for rice protein expression

    • Antibodies against conserved UPF0496 regions (may require custom development)

  • Bioinformatic Resources:

    • Rice genome databases (MSU Rice Genome Annotation Project, RAP-DB)

    • Expression databases including RiceXPro and Rice Expression Database

    • Protein structure prediction servers (I-TASSER, AlphaFold DB)

    • Rice stress response network data through RiceFREND and RiceNet

  • Methodological Resources:

    • Optimized protocols for rice transformation and regeneration

    • Rice protoplast isolation and transfection protocols

    • Membrane protein purification methods adapted for rice proteins

    • Phenotyping platforms for stress response assessment

  • Community Resources:

    • Rice research community networks (International Rice Research Institute)

    • Plant membrane protein research consortia

    • Plant stress biology research networks

Researchers should note that while commercial recombinant proteins are available for initial characterization, developing specialized tools (e.g., phospho-specific antibodies) may require custom development . Collaboration with established rice research groups can provide access to specialized germplasm and methodological expertise.

What are the recommended experimental controls and validation approaches for UPF0496 protein studies?

Robust experimental design for UPF0496 protein studies requires careful consideration of controls and validation approaches:

  • Expression and Purification Controls:

    • Empty vector controls processed identically to recombinant protein samples

    • Known control proteins with similar properties (size, hydrophobicity)

    • Quality control benchmarks including SDS-PAGE, western blotting, and mass spectrometry

    • Functional assays for protein folding (e.g., circular dichroism)

  • Genetic Modification Controls:

    • Multiple independent transgenic/mutant lines (minimum 3) for phenotyping

    • Empty vector transformants as transformation controls

    • Wild-type segregants from the same genetic background

    • Complementation lines to confirm phenotype specificity

    • Off-target analysis for CRISPR-edited lines

  • Interaction Studies Validation:

    • Reciprocal co-immunoprecipitation experiments

    • Multiple independent methods (Y2H, BiFC, pull-down)

    • Competition assays with unlabeled protein

    • Mutated interface controls for specificity

    • Negative controls with unrelated proteins of similar properties

  • Localization Studies Controls:

    • Free fluorescent protein controls

    • Known subcellular markers for co-localization

    • Multiple tagging strategies (N- and C-terminal fusions)

    • Antibody specificity validation in knockout backgrounds

  • Phenotypic Analysis Validation:

    • Multiple stress conditions and intensities

    • Time-course experiments for dynamic responses

    • Quantitative measurements with appropriate statistical analysis

    • Comparison to known stress-response mutants as reference points

For publication-quality research, it is recommended to validate key findings using complementary approaches. For example, protein interaction results from Y2H should be confirmed by co-IP or BiFC, while gene function studies should combine loss-of-function and gain-of-function approaches to establish causality . Statistical analysis should include appropriate replicate numbers (minimum n=3 for biochemical assays, n=10 for phenotypic analyses) and suitable statistical tests based on data distribution.

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