KEGG: mmu:433638
UniGene: Mm.239081
Mouse Transmembrane Protein C1orf162 homolog is a protein-coding gene product consisting of 132 amino acids in its full-length form. The protein contains transmembrane domains consistent with its classification as a membrane protein. The gene encodes a protein that is homologous to the human C1orf162 gene product, with the mouse version being expressed from a chromosome that has not been definitively mapped (hence "chromosome unknown") .
The protein is available as a recombinant product with a C-terminal histidine tag when expressed in E. coli expression systems. The gene has two identified mRNA variants (XM_019627446.1 and XM_019627447.1) with corresponding protein accessions XP_019482991.1 and XP_019482992.1 . The complete open reading frame (ORF) is 402 base pairs in length, suggesting a relatively small protein product .
While the specific post-translational modifications of Mouse C1orf162 homolog have not been extensively characterized in the available literature, as a transmembrane protein, it may undergo modifications common to this protein class. These potentially include:
N-linked or O-linked glycosylation, which could affect protein folding, stability, and interaction capabilities
Phosphorylation at serine, threonine, or tyrosine residues, which might regulate protein activity or interactions
Ubiquitination, which could control protein turnover and degradation pathways
Researchers working with recombinant versions should be aware that E. coli-expressed proteins (as indicated in the available product information) lack the eukaryotic post-translational modification machinery, which may affect protein functionality compared to the native form . For studies requiring properly modified protein, mammalian expression systems may be preferable, although these are not explicitly mentioned in the available product listings.
The choice of expression system should be guided by the intended application. For structural studies or antibody production, E. coli-derived protein may be sufficient. For functional studies, especially those investigating protein-protein interactions or signaling, mammalian systems might yield more biologically relevant material.
Purification of Recombinant Mouse C1orf162 homolog with a histidine tag typically follows these methodological steps:
Cell lysis optimization: For transmembrane proteins, detergent selection is critical. Start with a panel including mild detergents like n-dodecyl-β-D-maltoside (DDM), n-octyl-β-D-glucopyranoside (OG), or digitonin.
Immobilized metal affinity chromatography (IMAC):
Equilibrate Ni-NTA or cobalt resin with binding buffer containing the selected detergent
Apply clarified lysate
Wash extensively to remove non-specific binding
Elute with imidazole gradient or step elution (typically 250-300 mM imidazole)
Size exclusion chromatography (SEC): Further purify the IMAC-purified protein using SEC to remove aggregates and obtain homogeneous protein.
Protein quality assessment:
SDS-PAGE for purity
Western blot for identity confirmation
Dynamic light scattering for homogeneity
For recombinant Mouse C1orf162 homolog specifically, researchers should note that the protein length is relatively short (132 amino acids), which may influence its behavior during purification . The presence of transmembrane domains necessitates maintaining an appropriate detergent concentration throughout purification to prevent aggregation.
Structural integrity assessment:
Circular dichroism (CD) spectroscopy to confirm secondary structure content
Thermal shift assays to evaluate protein stability
Limited proteolysis to assess proper folding
Binding partner identification and validation:
Pull-down assays using the His-tagged protein as bait
Surface plasmon resonance (SPR) or bio-layer interferometry (BLI) to quantify binding to potential partners
Crosslinking mass spectrometry to identify proximal proteins in a complex
Functional reconstitution:
Incorporation into liposomes or nanodiscs to restore membrane environment
Assays for potential channel or transporter activity
Cell-based assays measuring changes in signaling upon protein introduction
Given the transmembrane nature of the protein, reconstitution into a membrane-like environment may be critical for observing native functionality. Comparative analysis with the human ortholog, which may have more annotated functions, could provide direction for designing appropriate activity assays.
While specific interacting partners of Mouse C1orf162 homolog are not explicitly documented in the available search results , researchers can employ several strategies to identify potential binding partners:
Bioinformatic prediction approaches:
Sequence-based predictions of protein-protein interaction motifs
Homology modeling based on human C1orf162 interactome
Analysis of co-expression patterns across tissues
Experimental identification methods:
Proximity labeling methods (BioID, APEX) in relevant cell types
Co-immunoprecipitation coupled with mass spectrometry
Yeast two-hybrid screening with the non-transmembrane domains
Validation of predicted interactions:
Co-localization studies in relevant cell types
FRET/BRET analysis for direct interaction assessment
Mutational analysis of binding interfaces
The absence of documented interacting partners in current databases suggests this represents an open area for research. Investigators should consider employing multiple complementary approaches to build confidence in newly identified interactions.
Comparative analysis between mouse and human C1orf162 proteins reveals important considerations for translational research:
Structural comparison:
The mouse C1orf162 homolog consists of 132 amino acids in its full-length form, while detailed sequence comparison with the human ortholog requires additional analysis not provided in the available search results . Transmembrane topology prediction would likely reveal similar membrane-spanning regions between the orthologs, though specific differences in extracellular or cytoplasmic domains may exist.
Potential differences in tissue expression patterns between mouse and human
Species-specific interaction partners that may affect signaling outcomes
Distinctions in regulatory mechanisms controlling expression or localization
For researchers using mouse models to study human disease relevance, validating functional conservation through complementation studies (e.g., expressing mouse protein in human cells lacking C1orf162) would provide evidence of functional equivalence.
Determining the precise subcellular localization of C1orf162 homolog is critical for understanding its function. Researchers should consider these methodological approaches:
Fluorescent protein fusion approaches:
Generate C- and N-terminal GFP/mCherry fusions and express in relevant cell types
Validate that tags don't disrupt transmembrane topology or trafficking
Compare localization patterns to established organelle markers
Immunofluorescence microscopy:
Develop or acquire specific antibodies against C1orf162 homolog
Use super-resolution techniques (STED, STORM) for precise localization
Perform co-localization studies with markers for plasma membrane, ER, Golgi, or vesicular compartments
Biochemical fractionation:
Perform subcellular fractionation of tissues expressing C1orf162
Analyze fractions by Western blot to determine enrichment
Compare distribution to known markers of different membrane compartments
Electron microscopy approaches:
Immunogold labeling for ultrastructural localization
Correlative light and electron microscopy for contextualization
The transmembrane nature of the protein suggests it will localize to membranes, but determining the specific membrane system(s) will provide crucial insights into potential functions.
While the provided search results don't contain specific information about tissue expression patterns of Mouse C1orf162 homolog, researchers can employ several approaches to characterize its expression:
Transcriptomic analysis:
Mining publicly available RNA-seq datasets across mouse tissues
Quantitative RT-PCR analysis of tissue panels
Single-cell RNA-seq to identify specific cell types expressing the gene
Protein-level validation:
Western blot analysis of tissue lysates
Immunohistochemistry on tissue sections
Flow cytometry for cell-type specific expression
Reporter gene approaches:
Generation of knock-in mice with fluorescent reporters
Analysis of promoter activity in cell culture models
Understanding tissue-specific expression patterns would provide valuable context for functional studies and may suggest physiological processes in which C1orf162 participates.
Researchers working with Recombinant Mouse C1orf162 homolog may encounter several technical challenges during expression and purification:
Solutions:
Optimize codon usage for the expression host
Test different promoter strengths and induction conditions
Consider fusion partners that enhance expression (e.g., SUMO, MBP)
Evaluate different E. coli strains (BL21, Rosetta, C41/C43 for membrane proteins)
Solutions:
Lower induction temperature (16-20°C)
Reduce inducer concentration
Add detergents during lysis (screening panel recommended)
Consider refolding protocols if inclusion bodies form
Test insect or mammalian expression systems
Solutions:
Add protease inhibitors during all purification steps
Optimize buffer conditions (pH, salt concentration)
Maintain samples at 4°C throughout purification
Consider adding stabilizing agents (glycerol, specific lipids)
Based on the available commercial preparation, E. coli expression has been successful for this protein , suggesting that bacterial expression can work despite the transmembrane nature of the protein. The His-tag approach has proven effective for affinity purification.
Rigorous experimental design for functional studies of Recombinant Mouse C1orf162 homolog should include these methodological controls:
Negative controls:
Buffer-only conditions to establish baseline measurements
Irrelevant protein of similar size/tag to control for non-specific effects
Heat-denatured C1orf162 homolog to confirm activity requires native structure
Positive controls:
When possible, a protein with known activity in the assay system
Human ortholog for comparative studies
If function is known, a validated active variant
Validation controls:
Multiple protein preparations to ensure reproducibility
Concentration-dependent responses to establish specificity
Mutational analysis targeting predicted functional domains
Antibody neutralization if relevant
System-specific controls:
For cell-based assays: mock-transfected/transduced cells
For binding studies: competition with unlabeled protein
For activity assays: enzyme kinetics analysis
The transmembrane nature of the protein presents additional considerations, as protein function may depend on proper membrane orientation and lipid environment. Controls addressing these aspects should be included in experimental design.
Inconsistent experimental results with Recombinant Mouse C1orf162 homolog may stem from several sources. Methodological approaches to troubleshoot include:
Protein quality assessment:
Implement routine quality control before experiments
Check for batch-to-batch variation by SDS-PAGE and Western blot
Assess protein stability under storage conditions using thermal shift assays
Verify proper folding using circular dichroism spectroscopy
Experimental conditions optimization:
Systematically vary buffer components (pH, salt, detergents)
Test different temperatures for functional assays
Consider the impact of freeze-thaw cycles on protein activity
Evaluate the effect of different plate/tube materials (protein adsorption)
Technical standardization:
Develop SOPs for protein handling and storage
Use single-use aliquots to prevent freeze-thaw degradation
Standardize protein concentration determination methods
Implement detailed record-keeping of all experimental variables
Data analysis approaches:
Apply appropriate statistical methods for replicate analysis
Consider outlier identification and handling protocols
Implement blinding procedures when possible
For transmembrane proteins like C1orf162 homolog, particular attention should be paid to detergent concentration and composition, as these can significantly impact protein behavior and activity.
Determining the physiological function of Mouse C1orf162 homolog will likely require multiple complementary approaches:
Gene editing approaches:
CRISPR/Cas9 knockout in cell lines and mouse models
Conditional knockout systems to avoid developmental effects
Knock-in of tagged versions for localization and interactome studies
Generation of specific point mutations to test functional hypotheses
High-throughput screening:
Phenotypic screens following C1orf162 manipulation
Interaction screens using BioID or APEX proximity labeling
Drug/small molecule modifier screens to identify pathways
Multi-omics integration:
Transcriptomic analysis following knockout/overexpression
Proteomic changes in membrane compartments
Lipidomic analysis to identify potential lipid interactions
Metabolomic profiling to detect broader cellular changes
Structural biology approaches:
Cryo-EM analysis of the protein in membrane environments
X-ray crystallography of soluble domains
NMR studies of dynamics and interactions
The integration of these approaches, combined with evolutionary analysis across species, offers the most comprehensive strategy for functional determination.
Although C1orf162 homolog function remains poorly characterized, several avenues connect this research to potential human disease relevance:
Comparative genomics approaches:
Analysis of human C1orf162 variants in disease databases
Identification of disease-associated SNPs in or near the gene
Examination of copy number variations affecting expression
Disease model investigations:
Study C1orf162 expression changes in relevant mouse disease models
Determine if knockout or overexpression modifies disease phenotypes
Evaluate interactions with known disease-associated proteins
Translational connections:
Correlation of expression levels with disease biomarkers
Investigation of potential diagnostic or prognostic value
Exploration as a potential therapeutic target if function suggests relevance
Several cutting-edge technologies offer particular promise for advancing understanding of C1orf162 homolog:
Advanced structural approaches:
Cryo-electron tomography for visualizing the protein in native membranes
Integrative structural biology combining multiple data types
AlphaFold2 and related AI approaches for structure prediction
Single-molecule techniques:
Single-molecule FRET to study conformational changes
Optical tweezers to investigate mechanical properties
Super-resolution microscopy for precise localization and dynamics
Membrane protein-specific tools:
Nanodiscs and styrene maleic acid lipid particles (SMALPs) for native-like environments
High-throughput reconstitution platforms for functional screening
Microfluidic approaches for membrane protein analysis
Systems biology integration:
Network analysis incorporating C1orf162 homolog
Multi-scale modeling from molecular to cellular levels
Machine learning approaches to predict function from diverse datasets
These technologies, especially when applied in combination, have the potential to overcome the traditional challenges associated with studying transmembrane proteins like C1orf162 homolog and accelerate functional characterization.
In the absence of extensive experimental data, computational methods offer valuable insights into potential C1orf162 homolog functions:
| Computational Approach | Application to C1orf162 | Expected Outcomes |
|---|---|---|
| Sequence-based analysis | Identification of conserved domains and motifs | Prediction of functional elements like binding sites or modification sites |
| Homology modeling | Generation of 3D structural models based on related proteins | Insights into potential binding pockets and interaction surfaces |
| Molecular dynamics | Simulation of protein behavior in membrane environments | Understanding of conformational flexibility and lipid interactions |
| Gene co-expression networks | Identification of genes with similar expression patterns | Potential functional associations and pathway memberships |
| Phylogenetic profiling | Analysis of evolutionary conservation patterns | Insights into essential functions and potential interaction partners |
| Text mining | Extraction of implicit connections from scientific literature | Identification of understudied relationships and hypothesis generation |
Researchers should implement multiple computational approaches and look for consensus predictions, as this significantly increases confidence in functional hypotheses that can then be experimentally validated.
Cross-system comparison requires careful methodological consideration:
Standardized assay development:
Establish common readouts that can be measured across systems
Develop calibration standards applicable to different platforms
Implement consistent data normalization approaches
Comparative expression analysis:
Create expression constructs with identical tags and regulatory elements
Quantify expression levels to ensure comparable protein amounts
Validate subcellular localization patterns across systems
Framework for data integration:
Develop quantitative metrics for cross-system comparison
Establish minimum dataset requirements for meaningful comparison
Implement statistical approaches that account for system-specific variance
Collaborative approaches:
Establish multi-laboratory studies with standardized protocols
Create repositories for raw data sharing
Develop common ontologies for phenotypic descriptions
When comparing mouse C1orf162 homolog data with human orthologs or other model organisms, researchers should always consider species-specific differences in cellular context that might affect protein function or interactions.