The Recombinant Oryza sativa subsp. japonica Putative UPF0496 Protein 5 (Os10g0359200, LOC_Os10g21540) is an uncharacterized protein expressed in rice (Oryza sativa). Its designation as "putative" indicates that its biological function remains inferred rather than experimentally validated. This protein belongs to the UPF0496 family, a lineage of proteins with unknown biological roles, often identified through genomic annotations .
The full-length amino acid sequence (1–423 residues) is provided below, with key domains highlighted:
| Position | Sequence Segment |
|---|---|
| 1–50 | MGNRHGIMRPRRLASGRSAAEEEEDGEGEPGSYEAACSADPELGTFDTALRRRASRAITA |
| 51–100 | VASGVEVRSLSLGSLREVTGCLLDMNQEVVRVVLDCKRDVWRSPDLFDLVEDYFEGSLHT |
| 101–150 | LDFLAALDKSLHRARDSQLVLHLALQRHHHEPPAAASASELYASTLGELRQFKAAGEPFT |
| 151–200 | DEFFAAFQTVYRQQMSMVGKLRRRKRRLDRRLRSVRVWRRVSGIVFLTSFAALLVCSVVA |
| 201–250 | AAIAAPPVAAALAAAASMPVGSAGKWMDSLLKKYQDALHGHKEVVSAMQVGTFIAIKDLD |
| 251–300 | SIRVLVEHLEVQISSMADSVEFAERDEEAVRFGIDEVKKKLELFMKSVDDLGEQADRNNM |
| 301–350 | RMCHILPEYVFFINLANGNGMSESLFEMMNAFHDICRKDIKFKTSHYYLNFLSSSYQVYI |
| 351–423 | AVA |
Full sequence available in sources .
This protein is produced via recombinant expression in E. coli, leveraging rice’s genomic sequence (Os10g0359200) for cloning. Key production and biochemical features include:
Yield: Typically 0.02–5 mg quantities available commercially .
Purification: SDS-PAGE-validated purity (>85%) ensures minimal contaminants .
The protein’s genomic context is derived from the curated Oryza sativa ssp. japonica (Nipponbare) genome annotation:
Lineage Specificity: Part of rice-specific gene families, with limited homologs in Arabidopsis or other nonplant species .
While no direct functional studies are cited in public databases, this protein is available for experimental use. Potential applications include:
Functional Ambiguity: Lack of homologs in model organisms complicates functional inference .
Post-Translational Modifications: E. coli systems may not replicate plant-specific modifications (e.g., glycosylation) .
The UPF0496 family includes multiple paralogs in rice, such as UPF0496 Protein 1 (Os03g0199100, LOC_Os03g10240) . Key differences include:
| Parameter | Protein 5 (Os10g0359200) | Protein 1 (Os03g0199100) |
|---|---|---|
| Chromosome | 10 | 3 |
| Length | 423 aa | 388 aa |
| Tag | Variable (e.g., His-tag) | His-tag |
| Host | E. coli | E. coli |
| Sequence Identity | <30% (paralogous divergence) | N/A |
KEGG: osa:107277196
UPF0496 protein 5 belongs to the Uncharacterized Protein Family 0496 found in rice (Oryza sativa). The protein is encoded by the Os10g0359200 gene (also known as LOC_Os10g21540) in the japonica subspecies. The "UPF" designation indicates that while the protein has been identified through genomic analysis, its precise function remains incompletely characterized. It shares structural similarities with other UPF0496 family members, such as UPF0496 protein 2 found in Oryza sativa subsp. indica .
Although specific structural data for UPF0496 protein 5 is still being fully elucidated, related proteins in this family typically exhibit distinctive structural motifs. Based on comparative analysis with similar proteins like UPF0496 protein 2, it likely contains conserved domains that suggest roles in cellular processes. The protein is expected to have specific amino acid sequences that determine its tertiary structure and functional interactions within rice cells. Similar rice proteins in this family often contain specific motifs that may be involved in protein-protein interactions or cellular signaling pathways .
The Os10g0359200 gene shows tissue-specific and developmental stage-specific expression patterns. Current research suggests that its expression may be regulated during specific developmental processes, particularly in reproductive tissues. Expression analysis indicates potential roles during zygotic development, similar to other proteins involved in rice embryogenesis . When studying expression patterns, researchers often utilize techniques such as RT-PCR, RNA-seq, and in situ hybridization to track temporal and spatial expression.
For recombinant expression of UPF0496 protein 5, an E. coli-based expression system is typically recommended. Based on protocols used for similar rice proteins, the following considerations are important:
Expression vector selection: pET-based vectors with T7 promoter systems have demonstrated high efficiency
Host strain optimization: BL21(DE3) or Rosetta strains may improve expression of plant proteins
Induction conditions: IPTG concentration (typically 0.1-1.0 mM), temperature (often reduced to 16-20°C), and duration (4-16 hours) should be optimized
Fusion tags: N-terminal His-tags facilitate purification while potentially preserving protein folding
Small-scale expression trials should be conducted to determine optimal conditions before scaling up production.
Based on protocols used for similar recombinant rice proteins, a multi-step purification approach is recommended:
Initial capture: Immobilized metal affinity chromatography (IMAC) using Ni-NTA resin for His-tagged proteins
Intermediate purification: Ion exchange chromatography based on the protein's theoretical pI
Polishing step: Size exclusion chromatography to achieve >90% purity
Typical buffer conditions include:
| Purification Step | Buffer Composition | pH | Additional Notes |
|---|---|---|---|
| IMAC | 50 mM Tris-HCl, 300 mM NaCl, 10-250 mM imidazole | 8.0 | Gradual imidazole elution |
| Ion Exchange | 20 mM Tris-HCl, 50-500 mM NaCl | 7.5-8.0 | Salt gradient elution |
| Size Exclusion | PBS or Tris-based buffer with 6% Trehalose | 8.0 | Prevents aggregation |
Purity should be assessed by SDS-PAGE, with expected purity >90% after the complete purification process .
For optimal stability of purified UPF0496 protein 5, consider the following storage recommendations:
Short-term storage (up to one week): 4°C in appropriate buffer (typically Tris/PBS-based buffer with 6% Trehalose, pH 8.0)
Long-term storage: Lyophilized powder or aliquoted in storage buffer at -20°C/-80°C
Avoid repeated freeze-thaw cycles as they significantly reduce protein stability
For reconstitution: Use deionized sterile water to a concentration of 0.1-1.0 mg/mL
Addition of glycerol (final concentration 5-50%) is recommended for samples stored at -20°C/-80°C
For research applications requiring maintained biological activity, validate protein integrity after storage periods using functional assays specific to the protein's known or predicted activities .
A multi-faceted approach is recommended for functional characterization:
Comparative genomics and phylogenetic analysis:
Alignment with characterized proteins across species
Domain prediction and evolutionary conservation analysis
Protein-protein interaction studies:
Yeast two-hybrid screening
Co-immunoprecipitation followed by mass spectrometry
Bimolecular fluorescence complementation (BiFC)
Cellular localization:
Fluorescent protein fusion constructs
Subcellular fractionation combined with Western blotting
Immunocytochemistry with specific antibodies
Loss-of-function and gain-of-function studies:
These approaches should be combined for a comprehensive understanding of protein function.
When investigating roles in zygotic development, consider these methodological approaches:
In vitro fertilization (IVF) system setup:
Developmental tracking:
Protein function assessment:
Application of recombinant protein to culture medium
Analysis of conditioned medium with and without the protein
Proteome analysis to identify potential interaction partners
Gene expression manipulation:
Document key developmental parameters including karyogamy rates, division rates, and progression to multicellular embryo stages.
For comprehensive bioinformatic analysis, employ this workflow:
Sequence analysis tools:
BLAST: For identification of homologous proteins
Multiple sequence alignment (MUSCLE, Clustal Omega): For conservation analysis
HMMER: For domain and motif detection
Structural prediction:
AlphaFold2: For tertiary structure prediction
SWISS-MODEL: For homology modeling
PyMOL/Chimera: For structural visualization and analysis
Functional prediction:
InterProScan: For domain and functional site prediction
Gene Ontology (GO) prediction tools
STRING: For protein-protein interaction network analysis
Expression data integration:
Combine predictions from multiple tools for consensus-based functional hypotheses.
To implement GWAS for functional characterization in stress responses:
Population selection and phenotyping:
Genotyping and quality control:
Association analysis:
Candidate gene identification:
For reliable results, include appropriate controls and validate findings through independent approaches such as gene expression analysis or functional studies.
For comprehensive protein-protein interaction (PPI) analysis:
In vitro approaches:
Pull-down assays using purified recombinant protein
Surface plasmon resonance (SPR) for kinetic measurements
Isothermal titration calorimetry (ITC) for thermodynamic parameters
Yeast-based systems:
Yeast two-hybrid (Y2H) screening with rice cDNA libraries
Split-ubiquitin system for membrane-associated interactions
Analysis of false positives/negatives through multiple bait constructs
Plant-based validation:
Bimolecular fluorescence complementation (BiFC) in rice protoplasts
Co-immunoprecipitation from plant tissues
FRET/FLIM for dynamic interaction analysis
Mass spectrometry approaches:
AP-MS (affinity purification coupled with mass spectrometry)
BioID or TurboID proximity labeling
Crosslinking mass spectrometry (XL-MS)
Data integration from multiple methods strengthens confidence in observed interactions and helps distinguish between direct and indirect interactors.
For investigating roles in salt tolerance using functional genomics:
Gene expression manipulation:
CRISPR/Cas9-mediated knockout/knockdown
Overexpression in various genetic backgrounds
Tissue-specific or inducible expression systems
Phenotypic analysis under salt stress:
Comparative analysis across genetic backgrounds:
Integration with known salt tolerance mechanisms:
Document both short-term responses (hours to days) and long-term adaptation (weeks) to comprehensively characterize functional roles.
When encountering low expression yields, implement this systematic troubleshooting approach:
Expression system optimization:
Test multiple E. coli strains (BL21, Rosetta, Arctic Express)
Evaluate different expression vectors (pET, pGEX, pMAL)
Consider eukaryotic expression systems (yeast, insect cells)
Protein solubility enhancement:
Co-express with molecular chaperones (GroEL/ES, DnaK)
Test fusion partners (MBP, SUMO, Trx) to improve solubility
Optimize culture conditions (temperature, media composition)
Induction parameter adjustment:
Reduce IPTG concentration (0.01-0.1 mM)
Lower induction temperature (16-20°C)
Extend induction time (16-24 hours)
Codon optimization:
Document each optimization step systematically to identify critical parameters affecting expression yield.
To address discrepancies between in vitro and in vivo findings:
Systematic comparison of experimental conditions:
Document all buffer compositions, pH values, and ionic strengths
Compare protein concentrations across systems
Evaluate time scales of observed phenomena
Protein state verification:
Confirm correct folding through circular dichroism (CD)
Verify oligomeric state using size exclusion chromatography
Assess post-translational modifications present in vivo but absent in vitro
Context-dependent interactions:
Identify missing co-factors or interaction partners
Examine cellular compartmentalization effects
Assess impact of molecular crowding using crowding agents
Bridging experiments:
Develop intermediate complexity systems (e.g., cell extracts)
Use reconstituted systems with defined components
Perform structure-function analyses to identify critical regions
These approaches can reveal whether differences arise from technical limitations, missing biological context, or genuine biological regulation mechanisms.
To minimize non-specific binding and improve specificity:
Buffer optimization:
Increase salt concentration (150-500 mM NaCl)
Add mild detergents (0.01-0.1% Tween-20 or NP-40)
Include protein competitors (BSA, milk proteins) in blocking steps
Experimental design improvements:
Include multiple negative controls (unrelated proteins with similar properties)
Perform competition assays with unlabeled protein
Use concentration series to distinguish specific from non-specific interactions
Validation through orthogonal methods:
Confirm interactions using multiple, independent techniques
Perform in vitro binding assays with purified components
Map interaction domains through truncation constructs
Data analysis approaches:
Apply stringent statistical thresholds for mass spectrometry data
Use quantitative approaches (SILAC, TMT labeling)
Compare against common contaminant databases
Careful documentation of experimental conditions facilitates comparison across studies and identification of parameters affecting specificity.
Current evidence suggests potential roles in key developmental processes that warrant further investigation:
Zygotic development:
Cell wall dynamics:
Stress response integration:
Multi-omics approaches combining transcriptomics, proteomics, and metabolomics will be particularly valuable for understanding integrated functions in these processes.
To advance understanding of this protein family, consider these methodological developments:
High-throughput interaction mapping:
Development of protein microarrays containing rice proteome components
Application of next-generation yeast two-hybrid approaches (Y2H-seq)
Implementation of proximity labeling techniques optimized for plant cells
Advanced imaging approaches:
Super-resolution microscopy for precise subcellular localization
Single-molecule tracking to study dynamic behaviors
Correlative light and electron microscopy for ultrastructural context
Functional genomics at scale:
CRISPR screens targeting multiple family members simultaneously
Combinatorial gene editing to address functional redundancy
Tissue-specific and temporally controlled gene manipulation
Structural biology integration:
Cryo-EM analysis of protein complexes
Hydrogen-deuterium exchange mass spectrometry for dynamic structural analysis
Integration of AlphaFold2 predictions with experimental validation
These approaches would address current limitations in studying proteins with subtle or redundant functions.
For systems-level understanding, implement these integrative approaches:
Multi-omics data integration:
Correlate transcriptome, proteome, and metabolome datasets
Apply network analysis to position the protein within cellular pathways
Identify potential regulatory relationships through time-course studies
Mathematical modeling:
Develop kinetic models of pathways involving UPF0496 protein 5
Apply flux balance analysis to understand metabolic impacts
Create predictive models of cellular responses to perturbations
Comparative systems biology:
Analyze network conservation across rice subspecies
Compare with networks in other model plants
Identify evolutionary signatures of functional importance
Environmental response integration:
These approaches will position UPF0496 protein 5 within the broader context of rice cellular function and adaptation mechanisms.