KEGG: dre:100003849
UniGene: Dr.87038
Danio rerio Transmembrane protein 116 (tmem116) is a full-length protein consisting of 361 amino acids. The amino acid sequence is: MDIFGENKTQMNTTTPTENWTSVYSIVRWIQMTMAVLSILGAGSIILYAAFQRLVKKPEVLPLFLLSLTDLLLALSWLCGGLLFTQSCNSYATCYNLHIVEQTLYMASFFYTLHYVWVLYTGLNGKYHRRLNGFPAEAARTRNCRCLGPVLSCLLPLLLTAPVFVAGNVFQCYTNFTQPYRCLLMHTGAVYLTSSASPELTACSIIQEYCMAIFLGTFLITIVGMSIFMGKARSLYKRVVTSQGFFGGSHWTTLRLLERRMVLYPSAFFFCWGPALLLATMMLVKPDVIEGKMGVALYILQAFTSASQGLLNCLVYGWTQKHFRSLSSSTVRDANTQTPLLRSQKPNYAALHSAASLTNFV . The protein contains multiple transmembrane domains characteristic of integral membrane proteins. When expressed recombinantly, it is commonly fused with an N-terminal His tag to facilitate purification and detection in experimental systems.
Based on structural analysis, tmem116 contains several hydrophobic regions that form transmembrane domains, interspersed with hydrophilic segments that likely project into either the cytoplasm or extracellular space. While specific functional domains have not been completely characterized, sequence analysis suggests potential sites for post-translational modifications and protein-protein interactions. The protein contains regions that may be involved in signal transduction pathways, particularly those associated with cellular homeostasis and growth regulation . Researchers should note that functional domain characterization is an evolving area, and experimental validation using techniques such as site-directed mutagenesis and domain deletion analysis is recommended for conclusive domain identification.
For research applications, Recombinant Danio rerio Transmembrane protein 116 is commonly expressed in E. coli expression systems with an N-terminal His tag . The expression process typically involves transformation of the expression vector containing the tmem116 coding sequence into a compatible E. coli strain, followed by induction of protein expression (commonly using IPTG for T7-based expression systems). After expression, the protein is purified using affinity chromatography, leveraging the His tag for selective binding to nickel or cobalt resins. The purified protein typically achieves greater than 90% purity as determined by SDS-PAGE analysis . The final product is often supplied as a lyophilized powder, which requires proper reconstitution before experimental use.
When investigating tmem116 function in zebrafish models, researchers should consider multiple complementary approaches. For in vivo studies, morpholino-based knockdown and CRISPR-Cas9 genome editing have proven effective for generating loss-of-function models. For protein localization studies, fluorescently tagged tmem116 constructs can be expressed in zebrafish embryos, allowing for real-time visualization of protein trafficking and localization using confocal microscopy. For biochemical interactions, co-immunoprecipitation experiments using the His-tagged recombinant protein can help identify binding partners. Additionally, researchers may consider zebrafish-derived cell lines for in vitro studies of protein function, particularly when investigating cellular signaling pathways. Each approach has specific advantages and limitations that should be considered when designing experimental protocols.
Studying protein-protein interactions for transmembrane proteins like tmem116 presents several technical challenges. The hydrophobic nature of transmembrane domains can lead to non-specific interactions and protein aggregation during traditional pull-down assays. To address these challenges, researchers should consider:
Membrane-mimetic environments: Using detergents or lipid nanodiscs to maintain the native conformation of tmem116 during interaction studies
Proximity-based labeling: Techniques such as BioID or APEX2 can identify transient or weak interactors in cellular contexts
Split-reporter assays: Methods like split-GFP or BRET can detect interactions in live cells while preserving membrane topology
Crosslinking approaches: Chemical crosslinking followed by mass spectrometry can capture transient interactions
Additionally, researchers should validate interactions using multiple orthogonal techniques and appropriate controls to distinguish specific interactions from background binding.
The optimal storage and handling conditions for recombinant tmem116 protein are critical for maintaining its structural integrity and functional activity. Upon receipt, the lyophilized protein should be stored at -20°C to -80°C, with aliquoting recommended for multiple use scenarios to avoid repeated freeze-thaw cycles . Working aliquots can be maintained at 4°C for up to one week . For reconstitution, the protein should be centrifuged briefly prior to opening to ensure all material is at the bottom of the vial. Reconstitution should be performed using deionized sterile water to achieve a concentration of 0.1-1.0 mg/mL . For long-term storage of reconstituted protein, the addition of 5-50% glycerol (final concentration) is recommended, with 50% being the standard concentration used by suppliers . This glycerol addition helps prevent freeze damage during storage at -20°C or -80°C.
The purification of recombinant tmem116 with optimal activity requires careful consideration of several factors throughout the process. While the protein is typically expressed with an N-terminal His tag to facilitate purification , the following strategies can enhance activity retention:
Temperature control: Maintaining low temperatures (4°C) throughout the purification process helps minimize protein denaturation
Buffer optimization: Using buffers that mimic physiological conditions (pH 7.4-8.0) with appropriate ionic strength
Detergent selection: For membrane proteins like tmem116, the choice of detergent is critical - mild non-ionic detergents like DDM or LMNG often preserve activity better than harsh ionic detergents
Protease inhibitors: Including a cocktail of protease inhibitors throughout purification prevents degradation
Reducing agents: Addition of DTT or β-mercaptoethanol can prevent oxidation of cysteine residues
The purified protein should be validated for activity using functional assays appropriate to the experimental objectives before proceeding with complex experiments.
When investigating tmem116 in cellular contexts, multiple methodological approaches can provide complementary insights:
| Approach | Application | Advantages | Limitations |
|---|---|---|---|
| Immunofluorescence | Localization studies | Visualizes native protein in fixed cells | Depends on antibody specificity |
| Live-cell imaging | Dynamic localization | Captures real-time trafficking | Requires fluorescent tagging |
| RNAi knockdown | Loss-of-function | Relatively simple implementation | Potential off-target effects |
| CRISPR-Cas9 | Gene editing | Complete knockout possible | Complex clone screening |
| Overexpression | Gain-of-function | Straightforward implementation | Non-physiological levels |
For cellular studies, it's important to validate findings using multiple cell types and complementary techniques. Additionally, researchers should consider the impact of tags (such as the His tag in recombinant tmem116) on protein localization and function, potentially validating key findings with untagged constructs when possible.
Distinguishing between specific and non-specific effects in tmem116 functional studies requires rigorous experimental design and appropriate controls. Researchers should implement:
Multiple knockdown/knockout strategies: Using different siRNAs, shRNAs, or CRISPR-Cas9 guide RNAs targeting different regions of the tmem116 sequence helps confirm phenotype specificity
Rescue experiments: Re-expressing tmem116 in knockout/knockdown models should reverse the observed phenotypes if they are specific
Dose-response relationships: For interaction studies, demonstrating concentration-dependent effects supports specificity
Negative controls: Including studies with structurally similar but functionally distinct proteins helps identify non-specific effects
Complementary techniques: Confirming findings using multiple methodological approaches strengthens confidence in specificity
Additionally, researchers should be cautious about potential artifacts arising from protein overexpression or tag interference, validating key findings with endogenous protein whenever possible.
Interpreting transmembrane protein interaction data presents several challenges that researchers should consider when working with tmem116:
Detergent-induced artifacts: Detergents used to solubilize membrane proteins can disrupt native interactions or induce non-physiological ones. Using multiple detergent types and concentrations can help identify consistent interactions.
Overexpression effects: High protein levels can drive non-physiological interactions. Validation with endogenous proteins or controlled expression systems is recommended.
Tag interference: Tags like the His tag on recombinant tmem116 may affect interaction interfaces. Comparing N- and C-terminally tagged versions can identify potential tag effects.
Indirect interactions: Co-purification may reflect indirect interactions within larger complexes rather than direct binding. Techniques like crosslinking mass spectrometry can help distinguish these scenarios.
Cellular context dependence: Interactions may be cell-type specific or condition-dependent. Testing in multiple cellular contexts strengthens confidence in biological relevance.
To avoid these pitfalls, researchers should employ orthogonal validation techniques and carefully design controls that account for the specific challenges of membrane protein biochemistry.
When encountering contradictory data across different model systems in tmem116 research, researchers should:
Evaluate methodological differences: Variations in experimental conditions, protein expression levels, or cell types may explain discrepancies
Consider species-specific differences: Function may vary between human and zebrafish orthologs despite sequence similarity
Examine cellular context: The protein microenvironment, including lipid composition and interacting partners, may differ between systems
Assess protein modifications: Post-translational modifications may vary across expression systems, affecting function
Analyze isoform expression: Different splice variants may predominate in different systems
Rather than dismissing contradictory findings, researchers should design experiments that directly test hypotheses explaining the contradictions. This might include side-by-side comparisons under identical conditions or hybrid approaches that combine elements from different systems. Ultimately, integrating findings across multiple models often provides the most comprehensive understanding of protein function.
Transmembrane protein 116 research has emerging implications for cancer biology, particularly in understanding cellular homeostasis and growth regulation mechanisms that may be dysregulated in tumorigenesis . Studies with TMEM116 knockout cell lines reveal potential roles in cancer cell proliferation, migration, and apoptosis pathways . Researchers investigating tmem116 in cancer contexts should consider:
Comparative expression analysis between normal and malignant tissues
Correlation of expression levels with clinical outcomes
Pathway analysis to identify signaling networks influenced by tmem116
Drug response assays in tmem116 knockout versus wild-type backgrounds
The zebrafish model provides a valuable in vivo system for studying oncogenic processes, with the availability of recombinant Danio rerio tmem116 protein facilitating mechanistic studies. Future research may explore tmem116 as a potential biomarker for cancer detection or progression monitoring, and possibly as a therapeutic target .
Several emerging technologies show promise for advancing our understanding of tmem116 function:
Cryo-electron microscopy: Enabling high-resolution structural analysis of membrane proteins in near-native states
Single-cell transcriptomics: Revealing cell-type specific expression patterns during development
Optogenetics: Allowing temporal control of tmem116 function in specific cellular contexts
Genome-wide CRISPR screens: Identifying genetic interactions and pathway connections
Organoid models: Providing three-dimensional tissue contexts for functional studies
These technologies can be applied to zebrafish models to leverage the experimental advantages of this system, including optical transparency during development and genetic tractability. Integration of data across these platforms will likely provide a more complete understanding of tmem116's roles in both normal physiology and disease states.
Designing experiments to investigate tmem116's roles in cellular signaling requires a systematic approach:
Pathway identification: Begin with broad pathway analysis using phosphoproteomics or transcriptional profiling in tmem116 knockout versus wild-type contexts
Temporal dynamics: Employ time-course experiments to distinguish direct versus secondary effects
Stimulus-response studies: Examine how tmem116 absence affects cellular responses to relevant stimuli
Domain-function analysis: Create truncation or point mutation constructs to map functional regions
Interactome mapping: Identify binding partners under different cellular conditions
When designing these experiments, researchers should consider both gain-of-function and loss-of-function approaches, as well as acute versus chronic manipulations. The recombinant Danio rerio tmem116 protein can serve as both a research tool and control in these studies . Additionally, comparative studies between zebrafish and human systems can highlight evolutionarily conserved signaling roles that may have particular biological significance.
Based on current knowledge and available tools, several research directions appear particularly promising for advancing understanding of tmem116 function in zebrafish models. Developmental studies examining tmem116 expression patterns throughout embryogenesis may reveal stage-specific roles. Functional genomics approaches using CRISPR-Cas9 to generate zebrafish tmem116 mutants could uncover phenotypes relevant to human disease. Proteomics studies identifying the tmem116 interactome in different cellular contexts would help place this protein within relevant signaling networks. The availability of recombinant Danio rerio Transmembrane protein 116 facilitates biochemical and structural studies that complement in vivo approaches . Additionally, comparative studies between zebrafish and human tmem116 may highlight evolutionarily conserved functions of particular biological significance.
Researchers beginning work with tmem116 should consider several methodological recommendations to optimize their experimental approach:
Antibody validation: Thoroughly validate antibodies for specificity, ideally using knockout controls
Expression system selection: Choose expression systems appropriate for the research question, recognizing that E. coli-expressed recombinant protein may lack eukaryotic post-translational modifications
Storage optimization: Follow recommended storage guidelines, including aliquoting to avoid freeze-thaw cycles and adding glycerol for long-term stability
Reconstitution protocol: Carefully follow reconstitution procedures, centrifuging vials before opening and using appropriate buffer conditions
Functional validation: Develop and validate functional assays appropriate to the hypothesized role of tmem116
Additionally, researchers should consider collaborating across disciplines to bring complementary expertise to the complex challenges of membrane protein research. Integrating structural, cellular, and in vivo approaches will likely yield the most comprehensive understanding of tmem116 biology.
To effectively interpret tmem116 findings within broader cell biology contexts, researchers should:
Consider evolutionary conservation: Compare findings across species to identify fundamental versus specialized functions
Examine pathway integration: Place tmem116 within known signaling networks and cellular processes
Assess cell-type specificity: Determine whether functions are universal or restricted to specific cellular contexts
Evaluate developmental timing: Consider temporal aspects of expression and function during development
Connect to disease mechanisms: Relate findings to known pathological processes where membrane protein function is implicated