Recombinant Oryza sativa subsp. japonica Putative UPF0496 protein 5 (Os10g0359200, LOC_Os10g21540)

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Description

Protein Overview

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 .

ParameterDetails
Gene IDOs10g0359200, LOC_Os10g21540
** UniProt Accession**Q7XFE1
Protein Length423 amino acids (full-length sequence)
Molecular Weight~47.2 kDa
Host OrganismE. coli (recombinant expression)
TagsVariable (determined during production; examples include His-tag)
Purity≥85% (SDS-PAGE validated)
StorageLyophilized powder; store at -20°C/-80°C; avoid repeated freeze-thaw

Amino Acid Sequence

The full-length amino acid sequence (1–423 residues) is provided below, with key domains highlighted:

PositionSequence Segment
1–50MGNRHGIMRPRRLASGRSAAEEEEDGEGEPGSYEAACSADPELGTFDTALRRRASRAITA
51–100VASGVEVRSLSLGSLREVTGCLLDMNQEVVRVVLDCKRDVWRSPDLFDLVEDYFEGSLHT
101–150LDFLAALDKSLHRARDSQLVLHLALQRHHHEPPAAASASELYASTLGELRQFKAAGEPFT
151–200DEFFAAFQTVYRQQMSMVGKLRRRKRRLDRRLRSVRVWRRVSGIVFLTSFAALLVCSVVA
201–250AAIAAPPVAAALAAAASMPVGSAGKWMDSLLKKYQDALHGHKEVVSAMQVGTFIAIKDLD
251–300SIRVLVEHLEVQISSMADSVEFAERDEEAVRFGIDEVKKKLELFMKSVDDLGEQADRNNM
301–350RMCHILPEYVFFINLANGNGMSESLFEMMNAFHDICRKDIKFKTSHYYLNFLSSSYQVYI
351–423AVA

Full sequence available in sources .

Production and Biochemical Characteristics

This protein is produced via recombinant expression in E. coli, leveraging rice’s genomic sequence (Os10g0359200) for cloning. Key production and biochemical features include:

Recombinant Expression

  • Host: E. coli (common for prokaryotic systems) .

  • Yield: Typically 0.02–5 mg quantities available commercially .

  • Purification: SDS-PAGE-validated purity (>85%) ensures minimal contaminants .

Stability and Handling

  • Storage Buffer: Tris-based buffer with 50% glycerol .

  • Thermal Sensitivity: Storage at -20°C/-80°C recommended; avoid repeated freeze-thaw cycles .

Genomic Context and Evolutionary Insights

The protein’s genomic context is derived from the curated Oryza sativa ssp. japonica (Nipponbare) genome annotation:

  • Locus: Chromosome 10 (Os10g0359200) .

  • Gene Structure: Single exon (common in rice) .

  • Lineage Specificity: Part of rice-specific gene families, with limited homologs in Arabidopsis or other nonplant species .

FeatureDescription
Transcript SupportmRNA evidence for expression (curated loci) .
Protein-Coding StatusCategorized as functional (70% of rice proteins annotated) .
Evolutionary RoleLineage-specific expansion may reflect adaptive divergence in monocots .

Research Applications and Challenges

While no direct functional studies are cited in public databases, this protein is available for experimental use. Potential applications include:

ApplicationDetails
Structural BiologyX-ray crystallography/NMR to elucidate folding and binding sites.
Functional AssaysYeast two-hybrid or protein interaction studies to identify partners.
Plant BiotechnologyOverexpression in transgenic rice for agronomic trait improvement .

Challenges:

  • 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) .

Comparative Analysis with Related Proteins

The UPF0496 family includes multiple paralogs in rice, such as UPF0496 Protein 1 (Os03g0199100, LOC_Os03g10240) . Key differences include:

ParameterProtein 5 (Os10g0359200)Protein 1 (Os03g0199100)
Chromosome103
Length423 aa388 aa
TagVariable (e.g., His-tag)His-tag
HostE. coliE. coli
Sequence Identity<30% (paralogous divergence)N/A

Product Specs

Form
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 purchasing method and location. Please contact your local distributor for precise delivery estimates.
Note: Standard shipping includes blue ice packs. Dry ice shipping requires advance notice and incurs additional charges.
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 collect the contents. Reconstitute the protein in sterile deionized water to a concentration of 0.1-1.0 mg/mL. For long-term storage, we recommend adding 5-50% glycerol (final concentration) and aliquoting at -20°C/-80°C. Our standard glycerol concentration is 50%, which can serve as a reference.
Shelf Life
Shelf life depends on various factors, including storage conditions, buffer components, 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. Aliquoting is essential for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing.
The specific tag type is determined during production. If you require a specific tag, please inform us, and we will prioritize its development.
Synonyms
Os10g0359200; LOC_Os10g21540; OsJ_030007; OSJNBb0076H04.9; Putative UPF0496 protein 5
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-423
Protein Length
full length protein
Species
Oryza sativa subsp. japonica (Rice)
Target Names
Os10g0359200
Target Protein Sequence
MGNRHGIMRPRRLASGRSAAEEEEDGEGEPGSYEAACSADPELGTFDTALRRRASRAITA VASGVEVRSLSLGSLREVTGCLLDMNQEVVRVVLDCKRDVWRSPDLFDLVEDYFEGSLHT LDFLAALDKSLHRARDSQLVLHLALQRHHHEPPAAASASELYASTLGELRQFKAAGEPFT DEFFAAFQTVYRQQMSMVGKLRRRKRRLDRRLRSVRVWRRVSGIVFLTSFAALLVCSVVA AAIAAPPVAAALAAAASMPVGSAGKWMDSLLKKYQDALHGHKEVVSAMQVGTFIAIKDLD SIRVLVEHLEVQISSMADSVEFAERDEEAVRFGIDEVKKKLELFMKSVDDLGEQADRNNM RMCHILPEYVFFINLANGNGMSESLFEMMNAFHDICRKDIKFKTSHYYLNFLSSSYQVYI AVA
Uniprot No.

Target Background

Database Links
Protein Families
UPF0496 family
Subcellular Location
Membrane; Multi-pass membrane protein.

Q&A

What is UPF0496 protein 5 and how is it classified?

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 .

What are the fundamental structural characteristics of UPF0496 protein 5?

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 .

What expression patterns are observed for Os10g0359200 during rice development?

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.

What are the optimal conditions for recombinant expression of UPF0496 protein 5?

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.

What purification strategies yield the highest purity of recombinant UPF0496 protein 5?

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 StepBuffer CompositionpHAdditional Notes
IMAC50 mM Tris-HCl, 300 mM NaCl, 10-250 mM imidazole8.0Gradual imidazole elution
Ion Exchange20 mM Tris-HCl, 50-500 mM NaCl7.5-8.0Salt gradient elution
Size ExclusionPBS or Tris-based buffer with 6% Trehalose8.0Prevents aggregation

Purity should be assessed by SDS-PAGE, with expected purity >90% after the complete purification process .

How should UPF0496 protein 5 be stored to maintain stability and activity?

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 .

What experimental approaches are most effective for determining the cellular function of UPF0496 protein 5?

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:

    • CRISPR/Cas9-mediated mutagenesis

    • RNAi-based knockdown

    • Overexpression in appropriate systems

These approaches should be combined for a comprehensive understanding of protein function.

How can I design experiments to investigate potential roles of UPF0496 protein 5 in zygotic development?

When investigating roles in zygotic development, consider these methodological approaches:

  • In vitro fertilization (IVF) system setup:

    • Isolation of gametes (egg and sperm cells) from rice flowers

    • Electric fusion of gametes to produce zygotes

    • Culture of produced zygotes in appropriate medium (e.g., N6Z medium)

  • Developmental tracking:

    • Use of fluorescent markers (e.g., H2B-GFP fusion proteins) to monitor nuclear fusion and division

    • Time-lapse imaging to document developmental stages

    • Quantification of developmental milestones (karyogamy, first division, multicellular stage)

  • 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:

    • RNAi or CRISPR/Cas9 approaches in cultured cells

    • Analysis of developmental outcomes in modified systems

    • Complementation experiments to confirm specificity

Document key developmental parameters including karyogamy rates, division rates, and progression to multicellular embryo stages.

What bioinformatic tools are most useful for predicting UPF0496 protein 5 function?

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:

    • Expression Atlas: For tissue-specific expression patterns

    • Co-expression network analysis: For functional association predictions

    • Rice-specific databases: MSU Rice Genome Annotation Project, RAP-DB

Combine predictions from multiple tools for consensus-based functional hypotheses.

How can genome-wide association studies (GWAS) be applied to understand UPF0496 protein 5 function in stress responses?

To implement GWAS for functional characterization in stress responses:

  • Population selection and phenotyping:

    • Use diverse rice accessions (>300 recommended)

    • Measure multiple stress-response phenotypes:

      • Relative growth rate (RGR)

      • Ion (K+/Na+) concentrations in roots and shoots

      • Other physiological parameters relevant to stress responses

  • Genotyping and quality control:

    • High-density SNP arrays or whole-genome sequencing

    • Quality filtering: Minor allele frequency >0.05, call rate >0.95

    • Population structure assessment using PCA or STRUCTURE analysis

  • Association analysis:

    • Mixed linear models accounting for population structure and kinship

    • Multiple testing correction (e.g., Bonferroni, FDR)

    • Manhattan and QQ plots for result visualization

  • Candidate gene identification:

    • Focus on SNPs within or near Os10g0359200

    • Analyze linkage disequilibrium patterns

    • Look for non-synonymous SNPs with significant phenotype associations

For reliable results, include appropriate controls and validate findings through independent approaches such as gene expression analysis or functional studies.

What are the methodological considerations for investigating protein-protein interactions of UPF0496 protein 5?

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.

How can functional genomic approaches be used to elucidate the role of UPF0496 protein 5 in rice salt tolerance?

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:

    • Growth parameters: RGR, biomass accumulation

    • Physiological measurements:

      • Ion homeostasis (K+/Na+ concentrations)

      • Osmotic adjustment

      • Reactive oxygen species (ROS) levels

    • Molecular responses:

      • Transcriptional changes (RNA-seq)

      • Protein level alterations (proteomics)

      • Metabolic adjustments (metabolomics)

  • Comparative analysis across genetic backgrounds:

    • Testing in both sensitive and tolerant cultivars

    • Assessment across developmental stages

    • Evaluation under different stress intensities and durations

  • Integration with known salt tolerance mechanisms:

    • Analysis of interaction with established salt tolerance pathways

    • Positioning within signaling cascades

    • Evaluation of impacts on known tolerance determinants

Document both short-term responses (hours to days) and long-term adaptation (weeks) to comprehensively characterize functional roles.

What strategies can address poor expression yields of recombinant UPF0496 protein 5?

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:

    • Analyze codon usage in the expression system

    • Synthesize codon-optimized gene for the expression host

    • Supply rare tRNAs through specialized strains or co-expression

Document each optimization step systematically to identify critical parameters affecting expression yield.

How can contradictory results between in vitro and in vivo studies of UPF0496 protein 5 function be reconciled?

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.

What are the best practices for addressing non-specific binding issues in protein-protein interaction studies with UPF0496 protein 5?

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.

How might UPF0496 protein 5 contribute to specialized developmental processes in rice?

Current evidence suggests potential roles in key developmental processes that warrant further investigation:

  • Zygotic development:

    • Examine protein localization during fertilization and early embryogenesis

    • Investigate potential roles in karyogamy and first zygotic division

    • Assess interaction with hydrolytic enzymes involved in cell wall remodeling during embryogenesis

  • Cell wall dynamics:

    • Study protein localization relative to cell wall structures

    • Investigate interactions with cell wall modifying enzymes

    • Analyze phenotypic effects of gene modification on cell expansion and division patterns

  • Stress response integration:

    • Examine expression changes under various abiotic stresses

    • Analyze potential roles in coordinating growth adjustments during stress

    • Investigate interaction with known stress signaling pathways

Multi-omics approaches combining transcriptomics, proteomics, and metabolomics will be particularly valuable for understanding integrated functions in these processes.

What methodological advances would enhance functional characterization of UPF0496 protein family members?

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.

How can systems biology approaches integrate UPF0496 protein 5 function into broader cellular networks?

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:

    • Map protein function across diverse environmental conditions

    • Identify condition-specific interaction partners

    • Model how protein contributes to phenotypic plasticity

These approaches will position UPF0496 protein 5 within the broader context of rice cellular function and adaptation mechanisms.

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