Tetratricopeptide repeat domain 16 (TTC16) is a protein that, in humans, is encoded by the TTC16 gene . The TTC16 gene, also referred to as TPR repeat protein 16, is one of many proteins containing tetratricopeptide repeat motifs . In mice, this protein is referred to as Recombinant Mouse Tetratricopeptide repeat protein 16 (Ttc16).
TTC16, the gene that encodes for TTC16, is located on human chromosome 9 at the 9q34.11 site . The gene comprises 16 exons and contains ten tetratricopeptide motifs . TTC16 is conserved among various species, including invertebrates such as the eastern oyster (Crassostrea virginica) and the purple sea urchin (Strongylocentrotus purpuratus), and has no paralogs . TTC16 protein is composed of 873 amino acids with a molecular weight of 98.3 kdal and an isoelectric point of 9.15, making it a basic protein . There are two isoforms of the protein, with variant 1 being the longest, and there are 17 spliced versions of the gene .
TTC16 protein comprises TPR motifs belonging to the TPR_11 superfamily, with the latter half of the protein made of the Pumilio Superfamily . The protein forms alpha helix chains and contains several putative binding sites . Within cells, TTC16 is located in the nucleus and contains four nuclear localization signals and seven O-linked glycosylation sites, but no N-linked glycosylation sites . Post-translational modifications, especially phosphorylation, are concentrated in the Pumilio Superfamily region . Domains containing TPR motifs exhibit stronger stability than regions without them .
TTC16 is highly expressed in the testis, followed by the lung, pituitary gland, and tonsil . Studies suggest that the omental adipose tissue of obese children has higher TTC16 expression compared to non-obese children, and expression is relatively high and constant in CD8+ cells . Tetratricopeptide motifs often stabilize protein-protein interactions . Although the specific function of TTC16 is not well understood, its connections to the immune system suggest it plays a role in immune system response .
The only known interaction of TTC16 involves polymerase basic protein 2 (pb2), which participates in transcription initiation and the generation of primers for viral transcription .
RMP16, a recombinant TNF α-derived polypeptide, includes a specific human serum albumin (HSA)-binding 7-mer peptide, a cleavage peptide for Factor Xa, and a 20-amino acid bioactive peptide P16 . RMP16 exhibits a prolonged half-life in mice and higher receptor selectivity for TNFRI than TNF α . RMP16 has demonstrated significant inhibition effects on multiple tumor cells, notably prostate cancer Du145 cells, and human vascular endothelial cells . It induces apoptosis and inhibits proliferation for DU145 cells more effectively than P16 and TNF α via the caspase-dependent apoptosis pathway and G0/G1 cell cycle arrest . In mice with transplanted tumors of DU145 cells, RMP16 induced apoptosis and necrosis of tumor tissues, leading to a tumor inhibitory rate of nearly 80%, and potently inhibits tumor angiogenesis and neovascularization .
The $$K_D$$ values of RMP16 with HSA were $$8.75 \times 10^{-7}$$ M and $$8.22 \times 10^{-7}$$ M from SPR and ITC, respectively . The $$K_D$$ values of RMP16 binding to recombinant human TNFRI (hTNFRI) and TNFRII were $$2.13 \times 10^{-8}$$ M and $$8.64 \times 10^{-6}$$ M, respectively . SPR and ITC assays showed that TNF α binds hTNFRII ∼4 times better than hTNFRI, while the binding affinity of RMP16 for hTNFRI was ∼410 times higher than that for hTNFRII .
Tetratricopeptide repeat protein 16 (Ttc16) belongs to a family of proteins characterized by tetratricopeptide repeat (TPR) motifs as supersecondary structures. Based on human TTC16 studies, the protein appears to contain approximately ten tetratricopeptide motifs, with the N-terminal portion belonging to the TPR_11 superfamily and the C-terminal region consisting of the Pumilio Superfamily . The full-length protein is estimated to be approximately 873 amino acids in human form, with mouse Ttc16 likely showing high sequence conservation due to the evolutionary conservation observed across species .
TPR motifs typically form alpha-helical structures that serve as protein-protein interaction domains, suggesting Ttc16 may function as a scaffold protein for assembling multi-protein complexes. For researchers beginning studies on mouse Ttc16, comparison of sequence homology between human and mouse variants using tools like BLAST or Clustal Omega is recommended as a first step to identify conserved functional domains.
In human cells, TTC16 has been observed primarily within the nucleus, which is consistent with the presence of four nuclear localization signals identified in the protein sequence . The protein contains post-translational modifications concentrated in its C-terminal region, with phosphorylation sites particularly abundant in the Pumilio Superfamily region .
For mouse Ttc16 localization studies, researchers should consider:
Generating GFP-tagged Ttc16 constructs for live-cell imaging
Performing subcellular fractionation followed by Western blotting
Conducting immunofluorescence studies with validated anti-Ttc16 antibodies
Expression analysis suggests that transcription factors regulating TTC16 are commonly found in cells of the immune system (including various white blood cells and red blood cells), respiratory system, and endocrine system . Therefore, when designing expression studies for mouse Ttc16, these tissue types should be prioritized for investigation.
Ttc16 belongs to a larger family of TPR-containing proteins. While Ttc16 contains approximately ten TPR motifs, other well-characterized TPR proteins like TTC1 contain fewer motifs (TTC1 has three TPR motifs) . This structural difference likely influences their binding partners and functions.
| TPR Protein | Number of TPR Motifs | Molecular Weight | Known Binding Partners |
|---|---|---|---|
| Ttc16 | ~10 (human) | ~98.3 kDa | Under investigation |
| TTC1 | 3 | 36.1 kDa | Galpha16, Ha-Ras, NF1 GAP domain |
| HOP | 9 | 63 kDa | Hsp70, Hsp90 |
| PEX5 | 7 | 67 kDa | PTS1-containing proteins |
Understanding these structural differences is essential for researchers designing experiments to investigate Ttc16-specific functions versus general TPR protein characteristics. Homology modeling approaches comparing Ttc16 with better-characterized TPR proteins can provide valuable insights for structure-function studies.
For optimal expression of functional recombinant mouse Ttc16, consider these methodological approaches:
Bacterial expression: Use specialized E. coli strains like BL21(DE3) Rosetta or Arctic Express to enhance proper folding of complex proteins. Consider expressing individual TPR domains separately if full-length expression proves challenging.
Insect cell expression: Baculovirus expression systems often yield properly folded mammalian proteins with appropriate post-translational modifications.
Mammalian expression: For studies requiring native-like post-translational modifications, HEK293 or CHO cell expression systems are recommended, particularly when investigating protein-protein interactions.
When designing expression constructs, include an affinity tag (His-tag, GST, etc.) to facilitate purification, but ensure the tag position (N or C-terminal) minimizes interference with TPR domain folding .
For purification of recombinant mouse Ttc16, a multi-step approach is recommended:
Initial capture: Using affinity chromatography (Ni-NTA for His-tagged constructs)
Intermediate purification: Ion exchange chromatography based on Ttc16's basic isoelectric point (predicted similar to human TTC16 at pH 9.15)
Polishing step: Size exclusion chromatography to separate properly folded protein from aggregates
Quality assessment should include:
SDS-PAGE to confirm molecular weight and purity
Circular dichroism to verify alpha-helical content (characteristic of TPR domains)
Dynamic light scattering to assess monodispersity
Limited proteolysis to evaluate domain stability
Thermal shift assays to determine stability under various buffer conditions
For long-term storage, a buffer containing 20mM Tris-HCl (pH 8.0), 20% glycerol, 0.1M NaCl, and 1mM reducing agent (DTT or β-mercaptoethanol) at -80°C is recommended, based on successful storage conditions for similar TPR proteins .
Recent research has identified TTC16 as one of the key driver mutations in cutaneous squamous cell carcinoma (cSCC), alongside other genes like TP53, CDKN2A, and NOTCH1 . This finding suggests Ttc16 may play important roles in pathways related to replicative senescence, cellular response to UV damage, cell-cell adhesion, and cell cycle regulation.
For researchers investigating Ttc16's role in cancer pathways, these methodological approaches are recommended:
Ttc16 mutational analysis in mouse cancer models: Compare Ttc16 mutation frequencies and patterns in various mouse cancer models, particularly skin cancers, using whole exome sequencing.
Protein-protein interaction studies: Utilize techniques such as co-immunoprecipitation, proximity ligation assays, or yeast two-hybrid screening to identify cancer-relevant binding partners of Ttc16.
Functional assays: Develop Ttc16 knockout or overexpression systems in relevant cell lines to assess effects on:
Cell proliferation and cell cycle progression
Response to UV damage
Cell migration and invasion
Apoptosis resistance
Transcriptomic analysis: Perform RNA-seq on Ttc16-modulated cells to identify downstream pathways affected by Ttc16 alteration, focusing on established cancer-related pathways.
A methodical approach combining these techniques will help establish whether mouse Ttc16 functions as a tumor suppressor or oncogene in specific contexts.
Understanding Ttc16's protein-protein interactions is crucial given that TPR domains typically function as protein-protein interaction modules. Based on studies of other TPR proteins like TTC1, which interacts with G-alpha proteins and Ha-Ras , researchers should consider these methodological approaches:
Pull-down assays: Using purified recombinant Ttc16 as bait to capture interacting proteins from cellular lysates, followed by mass spectrometry identification.
Surface Plasmon Resonance (SPR): For quantitative measurement of binding kinetics between Ttc16 and potential partner proteins.
Isothermal Titration Calorimetry (ITC): To determine thermodynamic parameters of Ttc16-protein interactions.
Proximity-based labeling: BioID or APEX2 fusions with Ttc16 expressed in relevant cell types to identify proximal interacting proteins in living cells.
Domain mapping: Creating truncated constructs of Ttc16 to identify which TPR motifs are essential for specific protein interactions.
When designing these experiments, consider potential interactions with proteins involved in cellular pathways where Ttc16 has been implicated, including cell cycle regulation and cellular response to UV damage .
For researchers investigating Ttc16 function through loss-of-function approaches, several methodologies can be employed:
CRISPR-Cas9 Knockout Strategy:
Design sgRNAs targeting early exons of mouse Ttc16, preferably exons encoding critical TPR motifs
Validate editing efficiency using T7 endonuclease assay or Sanger sequencing
Confirm knockout at protein level via Western blot with validated antibodies
Assess phenotypic changes in relevant cellular processes (cell cycle, response to UV, etc.)
RNA Interference Approach:
Design multiple siRNAs or shRNAs targeting different regions of Ttc16 mRNA
Validate knockdown efficiency by qRT-PCR and Western blot
Include non-targeting controls and rescue experiments with RNAi-resistant Ttc16 constructs
Validation Considerations:
Perform off-target analysis for CRISPR-edited cell lines
Evaluate compensatory upregulation of other TPR proteins
Assess cell viability and basic cellular functions that might be indirectly affected
The high conservation of Ttc16 across species suggests potential developmental or physiological importance , so researchers should monitor for unexpected phenotypes that might reveal novel functions.
When designing functional assays to investigate recombinant mouse Ttc16 activity, consider these methodological recommendations:
Buffer Conditions:
Start with physiological-like conditions: 20mM HEPES or Tris (pH 7.4-7.6), 150mM NaCl, 2mM MgCl₂
Include reducing agents (1-5mM DTT or β-mercaptoethanol) to maintain thiol groups
Consider adding 5-10% glycerol to enhance protein stability
Protein-Protein Interaction Assays:
Perform binding assays at physiologically relevant temperatures (25-37°C)
Control for non-specific binding using unrelated TPR proteins
Consider the potential requirement for post-translational modifications when using bacterially-expressed Ttc16
Activity Assays:
If investigating potential enzymatic activities, include appropriate cofactors based on bioinformatic predictions
For phosphorylation-dependent activities, include combinations of kinases predicted to modify Ttc16
Design time-course experiments to capture both rapid and slower interactions
For challenging functional studies, consider using proximity-based approaches like FRET or BRET with Ttc16 fusion constructs to monitor interactions in real-time within living cells.
Computational methods offer powerful tools for predicting and understanding Ttc16 function, particularly given the limited experimental data currently available:
Structural Prediction and Analysis:
Homology modeling based on crystal structures of related TPR proteins
Molecular dynamics simulations to analyze flexibility of TPR domains
Protein-protein docking studies to predict potential binding partners
Functional Annotation:
Phylogenetic analysis across species to identify highly conserved regions
Identification of functional motifs using pattern recognition algorithms
Protein-protein interaction network analysis to predict biological pathways
| Approach | Recommended Tools | Application to Ttc16 Research |
|---|---|---|
| Homology Modeling | SWISS-MODEL, I-TASSER, Phyre2 | Predict 3D structure of mouse Ttc16 |
| Molecular Dynamics | GROMACS, AMBER, NAMD | Analyze flexibility and conformational changes |
| Docking | HADDOCK, ClusPro, AutoDock | Predict protein-protein interactions |
| Network Analysis | STRING, GeneMANIA, Cytoscape | Identify functional protein networks |
| Evolutionary Analysis | MEGA, PhyML, MrBayes | Identify conserved functional domains |
By integrating computational predictions with targeted experimental validation, researchers can develop more focused hypotheses about Ttc16 function, potentially revealing its role in various cellular processes and disease states .
Given TTC16's identification as a potential driver mutation in cutaneous squamous cell carcinoma , several promising research directions emerge:
Cancer Research: Investigate Ttc16 mutations, expression changes, or altered localization across various cancer types in mouse models. Particular focus should be given to skin cancers given the association with cSCC.
Immune System Function: Since TTC16 transcription factors are found in cells of the immune system , explore Ttc16's role in immune cell development, differentiation, and function using conditional knockout mouse models.
Stress Response Pathways: The association with cellular response to UV damage pathways suggests investigating Ttc16's potential role in other cellular stress responses, including oxidative stress and heat shock.
Drug Development: For translational applications, screen for small molecules that can modulate Ttc16 function or its protein-protein interactions, potentially developing novel therapeutic approaches for diseases where Ttc16 dysfunction is implicated.
When designing disease-related studies, researchers should consider:
Using tissue-specific inducible knockout systems to avoid potential developmental effects
Developing antibodies or probes that can distinguish between wildtype and mutant forms of Ttc16
Collaborating across disciplines to integrate molecular, cellular, and physiological data
The study of Ttc16 in multiple disease contexts may reveal unexpected functions and potential therapeutic opportunities beyond what is currently known about this relatively uncharacterized protein.