KEGG: mmu:108934
UniGene: Mm.38578
UPF0766 protein C6orf228 homolog is a small integral membrane protein (also known as Smim13) consisting of 88 amino acids. It belongs to an uncharacterized protein family (UPF) with the complete amino acid sequence: MWHNVGLTLLVFVATLLIVLLLMVCGWYFVWHLFLSKFKFLRELVGDTGSQEGDNEQPSGSETEEDPSASPQKIRSARQRRPPVDAGH. The protein is encoded by the Smim13 gene and has been assigned the UniProt ID E9Q942 .
Based on sequence analysis, mouse UPF0766 is classified as a transmembrane protein with hydrophobic regions consistent with membrane integration. The N-terminal region (approximately amino acids 1-30) shows a characteristic pattern of a transmembrane domain with multiple hydrophobic residues. The protein lacks well-characterized functional domains but contains potential phosphorylation sites in the C-terminal region .
The recombinant UPF0766 protein should be stored at -20°C/-80°C upon receipt, with aliquoting necessary for multiple uses. Working aliquots can be stored at 4°C for up to one week. The protein is typically supplied in Tris/PBS-based buffer with 6% Trehalose (pH 8.0). Repeated freeze-thaw cycles should be avoided as they may compromise protein stability and activity .
The recommended protocol for reconstitution involves briefly centrifuging the vial before opening to bring contents to the bottom. The protein should be reconstituted in deionized sterile water to a concentration of 0.1-1.0 mg/mL. For long-term storage, adding glycerol to a final concentration of 5-50% (with 50% being standard) and aliquoting before storage at -20°C/-80°C is advised .
When studying uncharacterized proteins like UPF0766, implement a systematic experimental approach:
Begin with bioinformatic analysis to predict properties and potential functions
Design experiments with proper controls, including:
Positive and negative controls
Technical replicates (minimum of three)
Biological replicates (different protein preparations)
Use multiple complementary techniques to verify findings
Include concentration gradients when testing protein effects
Establish clear, testable hypotheses with specific variables
Proteomics can be leveraged to investigate UPF0766 through:
Co-immunoprecipitation studies - Use anti-His antibodies to pull down the recombinant protein along with potential binding partners from cell lysates
Proximity labeling - Fuse UPF0766 with enzymes like BioID or APEX2 to identify proteins in close proximity
Comparative proteomics - Compare proteome profiles between wild-type cells and those overexpressing or lacking UPF0766
Post-translational modification analysis - Identify potential phosphorylation, glycosylation, or other modifications
Mass spectrometry analysis should follow standardized protocols similar to those used in kidney tissue proteomic studies, where proteins were classified by localization and function .
Based on the available data, the following expression systems can be considered:
The E. coli system has been successfully used for commercial production, suggesting it provides functional protein despite being a prokaryotic system .
For optimal purification of His-tagged UPF0766 protein:
Cell lysis optimization:
For E. coli-expressed protein: Use mild detergents (0.5-1% Triton X-100 or NP-40) in lysis buffer
Include protease inhibitors to prevent degradation
Affinity chromatography:
Ni-NTA resin is preferred for His-tagged proteins
Optimize imidazole concentration in binding buffer (10-20 mM) to reduce non-specific binding
Use step gradient elution (50-250 mM imidazole)
Secondary purification:
Size exclusion chromatography to separate monomeric protein from aggregates
Ion exchange chromatography as a polishing step
Quality control:
SDS-PAGE with silver staining to assess >90% purity
Western blot to confirm identity
Dynamic light scattering to evaluate homogeneity
This approach follows principles similar to those used for other His-tagged recombinant proteins .
To investigate potential interaction partners:
Yeast two-hybrid screening:
Clone UPF0766 as bait construct
Screen against mouse tissue-specific libraries (particularly kidney-derived)
Verify interactions with co-immunoprecipitation
Proximity-based labeling:
Generate fusion proteins with BioID or APEX2
Express in relevant cell lines
Identify biotinylated proteins by mass spectrometry
Surface plasmon resonance (SPR):
Immobilize purified UPF0766 on sensor chip
Test candidate interactors in concentration series
Determine binding kinetics and affinity constants
Crosslinking mass spectrometry:
Use membrane-permeable crosslinkers
Identify crosslinked peptides by specialized MS/MS analysis
Map interaction interfaces
This multi-method approach provides complementary evidence for protein interactions .
To characterize the membrane topology of UPF0766:
Protease protection assays:
Express UPF0766 in microsomes or membrane vesicles
Treat with proteases with/without membrane permeabilization
Analyze protected fragments by Western blotting
Fluorescence microscopy with epitope tags:
Generate constructs with fluorescent tags at N- and C-termini
Use selective permeabilization with digitonin vs. Triton X-100
Determine which epitopes are accessible under different conditions
Glycosylation mapping:
Introduce artificial N-glycosylation sites at various positions
Express in glycosylation-competent systems
Identify glycosylated sites as extracellular/luminal domains
FRET-based approaches:
Create donor-acceptor pairs at predicted membrane interfaces
Measure energy transfer efficiency
Map relative positions of protein segments
These techniques provide complementary data about membrane protein orientation .
Comparison of research approaches between UPF0766 and other small integral membrane proteins:
This comparative analysis highlights the need for specialized approaches when working with membrane proteins like UPF0766.
Research methodologies from peroxisomal protein studies that could be applied to UPF0766 investigation:
Subcellular fractionation techniques:
Density gradient centrifugation to determine precise localization
Comparative analysis with known organelle markers
Metabolic function analysis:
Metabolomic profiling in knockdown/knockout models
Substrate utilization assays if enzymatic activity is suspected
Protein complex characterization:
Blue native PAGE to identify native complexes
Chemical crosslinking followed by MS analysis
Disease association studies:
Examine expression in disease models (especially kidney disorders)
Analyze correlation with other disease-associated proteins
Several peroxisomal proteins showed differential expression in diabetic mouse kidney models, suggesting involvement in metabolic regulation that might also apply to UPF0766 .
Common challenges and solutions for recombinant membrane protein work:
Low expression yields:
Solution: Optimize codon usage for expression system
Solution: Test multiple promoters and expression conditions
Solution: Consider fusion partners that enhance expression (SUMO, MBP)
Protein aggregation:
Solution: Screen multiple detergents (DDM, LMNG, CHAPS)
Solution: Add stabilizing agents (glycerol, specific lipids)
Solution: Express truncated constructs removing flexible regions
Functional assays:
Solution: Develop binding assays with predicted partners
Solution: Assess membrane incorporation using fluorescence
Solution: Monitor cellular effects in overexpression systems
Purification difficulties:
Solution: Implement on-column detergent exchange
Solution: Use size exclusion chromatography to remove aggregates
Solution: Test multiple buffer conditions via thermostability assays
These approaches build on established protocols for other membrane proteins while addressing the specific challenges of UPF0766 .
A comprehensive antibody validation strategy includes:
Expression controls:
Test antibody against recombinant UPF0766 protein
Compare with lysates from overexpression systems
Include knockout/knockdown samples as negative controls
Specificity tests:
Perform peptide competition assays
Test cross-reactivity with related proteins
Compare multiple antibodies targeting different epitopes
Application-specific validation:
For Western blotting: Confirm single band at expected MW
For immunoprecipitation: Verify pull-down efficiency with mass spectrometry
For immunohistochemistry: Compare with mRNA expression patterns
Documentation requirements:
Record complete antibody information (catalog #, lot #, dilution)
Include all controls in publications
Report antibody validation methods
This systematic approach ensures reliable detection of endogenous UPF0766 protein .
Advanced genomic and transcriptomic approaches for functional characterization:
CRISPR-Cas9 screening:
Perform genome-wide knockout screen in relevant cell types
Look for synthetic lethality with UPF0766 knockout
Identify genetic interactions through combinatorial approaches
Single-cell RNA-seq:
Compare expression patterns across tissues and cell types
Identify co-expressed gene networks
Track expression changes during development or disease progression
Ribosome profiling:
Assess translational regulation of UPF0766
Identify potential upstream open reading frames
Determine translation efficiency under different conditions
ChIP-seq and ATAC-seq:
Map transcription factor binding sites in the promoter region
Assess chromatin accessibility changes in different cell states
Identify epigenetic regulation mechanisms
These approaches can reveal functional associations and regulatory mechanisms controlling UPF0766 expression .
Structural biology approaches tailored for UPF0766:
Cryo-electron microscopy (cryo-EM):
Particularly suitable if UPF0766 forms larger complexes
May require expression in nanodisc systems to maintain native environment
Resolution potential: 2.5-4Å for membrane proteins
Nuclear magnetic resonance (NMR):
Well-suited for the small size of UPF0766 (88 amino acids)
Requires isotope labeling (15N, 13C)
Can provide dynamic information about protein motion
X-ray crystallography:
Challenging for membrane proteins but possible with:
Lipidic cubic phase crystallization
Fusion to crystallization chaperones (T4 lysozyme)
Antibody fragment co-crystallization
Integrative structural approaches:
Combine computational modeling with experimental constraints
Use crosslinking mass spectrometry to establish distance restraints
Validate models through mutagenesis of predicted functional sites