Recombinant Human Protein TNT, also known as C16orf82 (chromosome 16 open reading frame 82), is a protein encoded by the C16orf82 gene in humans . The C16orf82 gene is located on the positive strand at locus 16p12.1 in humans . The function of C16orf82 is not completely understood by the scientific community .
The C16orf82 gene encodes a 2285 nucleotide mRNA transcript and is intronless . Intronless genes represent a unique subset of the genome often involved in signaling, sperm formation, immune responses, or development, which indicates C16orf82 may play a role in one of these processes . Translation of C16orf82 initiates at a non-AUG (CUG) start codon, which suggests possible increased regulation of C16orf82 translation and/or could allow for the translation of protein products that start with leucine instead of methionine .
The C16orf82 promoter region contains a number of transcription factor binding sites, including binding sites for transcription factors within the SOX family . The presence of the SOX family transcription binding sites suggests that C16orf82 may play a role in sex determination . Transcription factor functional studies show binding of the C16ORF82 promoter by ARNT, ELF5, SMAD4, and STAT3 .
C16orf82 expression in humans has been observed in major organ systems, including the heart, liver, brain, and kidney, at a constant level . The tissue in which C16orf82 has been seen to be most highly expressed has been the testis, both by microarray experiments as well as RNA-seq . C16orf82 expression is also highly variable between individuals, with some expressing the gene in large amounts while others barely express the gene within the same tissue type . Micro RNA (miR-483) overexpression has been shown to knock down C16orf82 expression .
The C16orf82 protein is 154 amino acids in length with an approximate molecular weight of 16.46 kDa and a predicted isoelectric point of 6.06 . There are no known variants or isoforms of C16orf82 .
C16orf82 contains one domain, DUF4694, which currently has a function that is uncharacterized . The domain spans from amino acid 8 to amino acid 153 . DUF4694 contains a SSGY (serine-serine-glycine-tyrosine) sequence motif that is found in a majority of the protein's orthologs . There is no presence of a transmembrane domain; thus, the protein is not a transmembrane protein .
The localization of C16orf82 within a cell has been predicted to be nuclear . A bipartite nuclear localization signal can be found starting at Arg107 .
The human C16orf82 protein has been predicted to be phosphorylated at a number of serine residues . O-linked glycosylation has also been predicted to happen at a number of sites, including some that overlap with the aforementioned phosphorylation sites . The sites of overlap between the two types of post-translational modifications could play important regulatory roles in the activity and lifespan of the human C16orf82 protein .
The secondary structure of the human C16orf82 protein has been predicted to be largely disordered by a number of modeling programs .
No paralogs of C16orf82 exist within humans .
C16orf82 has over 100 predicted orthologs, which all reside in the class mammalia and more precisely the subclass eutheria . All of the orthologs contained the domain DUF4964 . The most distant ortholog detected was within the nine-banded armadillo (Dasypus novemcinctus) within the order Cingluata . The table below shows 20 orthologs from various orders within the subclass eutheria with the sequence identity and time since divergence in relation to humans .
| Genus and Species | Common Name | Date of divergence (Mya) | Accession number | Protein Sequence length | Sequence Identity (%) |
|---|---|---|---|---|---|
| Homo sapiens | Human | 0 | NP_001139017.1 | 154 | 100 |
| Gorilla gorilla gorilla | Gorilla | 9.06 | XP_004057433.1 | 217 | 97 |
| Saimiri boliviensis boliviensis | Bolivian squirrel monkey | 43.2 | XP_003945340.1 | 217 | 81 |
| Carlito syrichta | Philippine tarsier | 67.1 | XP_008059656.1 | 194 | 54 |
| Tupaia chinensis | Chinese tree shrew | 82 | XP_006148346.2 | 211 | 54 |
| Ochotona princeps | American pika | 90 | XP_004587173.1 | 184 | 46 |
| Oryctolagus cuniculus | Rabbit | 90 | XP_008256138.1 | 207 | 49 |
| Microtus ochrogaster | Prairie Vole | 90 | XP_005372535.1 | 180 | 48 |
| Fukomys damarensis | Damara mole-rat | 90 | XP_010621795.1 | 188 | 47 |
| Enhydra lutris kenyoni | Northern Sea Otter | 96 | XP_022382137.1 | 168 | 46 |
| Mustela putorius furo | Domestic ferret | 96 | XP_012901961.1 | 173 | 46 |
| Canis lupus familiaris | Dog | 96 | NP_001139232.1 | 158 | 50 |
| Condylura cristata | Star-nosed mole | 96 | XP_004696008.1 | 199 | 40 |
| Bos taurus | Cattle | 96 | NP_001139230.1 | 156 | 56 |
| Bison bison bison | American Bison | 96 | XP_010835728.1 | 197 | 55 |
| Capra hircus | Goat | 96 | XP_013830092.1 | 201 | 54 |
| Balaenoptera acutorostrata scammoni | Minke Whale | 96 | XP_007187042.1 | 206 | 52 |
| Equus Caballus | Horse | 96 | N/A | 153 | 47 |
| Hipposideros armiger | Great Roundleaf Bat | 96 | XP_019505352.1 | 192 | 63 |
| Loxodonta africana | African savanna elephant | 105 | XP_023414770.1 | 183 | 53 |
| Dasypus novemcinctus | Nine-banded armadillo | 105 | XP_012377635.1 | 238 | 49 |
C16orf82's rate of evolution was determined to be relatively fast, even in comparison to fibrinogen, a gene that has been shown to evolve quickly .
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C16orf82, also known as TNT (Protein TNT), is a human protein encoded by the C16orf82 gene located at locus 16p12.1 on the positive strand. The gene encodes a 2285 nucleotide mRNA transcript that translates into a 154 amino acid protein using a non-AUG (CUG) start codon. This protein is predominantly expressed in the testis, tibial nerve, and pituitary gland, although expression has been detected across most tissue types in humans . The protein's function remains incompletely characterized by the scientific community, making it an active area of research interest .
Methodological approach: When beginning research on TNT, conduct comprehensive literature reviews focusing on its expression patterns. RNA-seq and proteomics databases can provide initial expression profiles across different tissues. Consider using northern blotting or qPCR to validate expression in your specific experimental model system before proceeding with functional studies.
The C16orf82 gene is intronless, placing it in a unique subset of human genes that often participate in signaling, sperm formation, immune responses, or developmental processes . This intronless architecture has several research implications:
The absence of introns means that C16orf82 bypasses splicing processes, potentially allowing for more rapid expression in response to certain cellular signals. This characteristic may be particularly relevant when investigating stress responses or other rapid cellular adaptation mechanisms.
Methodological approach: When studying expression dynamics, utilize pulse-chase experiments with labeled nucleotides to track the rate of transcription and translation. Compare expression kinetics with intron-containing genes in the same pathway to determine if the intronless nature confers any temporal advantages in expression.
Methodological approach: Design expression constructs that account for the non-AUG start codon by ensuring proper context sequences for initiation of translation. Consider testing multiple expression systems (bacterial, insect, and mammalian) to identify which provides optimal yield and proper folding. For E. coli expression, evaluate multiple strains (BL21(DE3), Rosetta, etc.) and optimize induction conditions (temperature, IPTG concentration, induction time) using design of experiments (DoE) approaches to systematically identify optimal conditions .
The C16orf82 gene utilizes a non-AUG (CUG) start codon instead of the conventional AUG codon, which has significant implications for translation regulation . This feature suggests potential for specialized translational control mechanisms:
Methodological approach: To investigate translation efficiency, implement ribosome profiling experiments comparing wild-type TNT mRNA with engineered variants containing conventional AUG start codons. Analyze translation initiation rates using in vitro translation systems supplemented with various eIFs (eukaryotic initiation factors). Consider creating reporter constructs with the native CUG context versus modified AUG contexts to quantify differences in translation efficiency across varying cellular conditions (stress, differentiation, etc.).
Similar to Troponin T, TNT may exhibit stability challenges during purification and storage . Although specific stability data for TNT is limited, approaches used for similar proteins can inform experimental design.
Methodological approach: Evaluate multiple stabilization strategies:
Test lyophilization with various cryoprotectants (trehalose, sucrose)
Compare buffer systems with stabilizing agents (glycerol, urea at different concentrations)
Assess protein stability using differential scanning fluorimetry to identify thermal transition points
Implement accelerated stability studies at different temperatures (4°C, 25°C, 37°C) and pH conditions
Compare stability profiles using activity assays and structural integrity assessments (circular dichroism, fluorescence spectroscopy) at regular time intervals to determine optimal storage conditions.
The C16orf82 promoter contains binding sites for several transcription factors, including SOX family members, ARNT, ELF5, SMAD4, and STAT3, suggesting complex transcriptional regulation .
Methodological approach: Implement a multi-faceted approach to characterize promoter regulation:
Perform chromatin immunoprecipitation (ChIP) assays to confirm binding of predicted transcription factors in different cell types
Create promoter reporter constructs with systematic deletions or mutations of predicted binding sites
Use CRISPR/Cas9-mediated genome editing to modify endogenous promoter elements
Conduct DNA pulldown assays coupled with mass spectrometry to identify novel binding proteins
Analyze promoter activity under various stimuli (hormones, cytokines, stress conditions) to identify regulatory pathways
This systematic approach allows mapping of functional promoter elements and regulatory networks controlling TNT expression.
Developing specific antibodies against TNT requires careful epitope selection and validation strategies:
Methodological approach: When designing antibodies:
Analyze protein sequence for unique, surface-exposed epitopes using bioinformatics tools
Avoid regions with high sequence similarity to other proteins
Consider producing both N-terminal and C-terminal targeted antibodies
Validate antibody specificity using multiple approaches:
Western blot against recombinant protein and endogenous expression
Immunoprecipitation followed by mass spectrometry
Immunohistochemistry with appropriate knockout/knockdown controls
Test cross-reactivity against potential paralogs or related proteins
For validation, use multiple detection methods including Western blot in both reduced and non-reduced conditions to account for potential multiple molecular weight variants, similar to patterns observed with Troponin T .
Purifying recombinant TNT with optimal yield and activity requires systematic optimization:
Methodological approach: Implement a design of experiments (DoE) approach to systematically optimize:
Lysis conditions (buffer composition, detergents, protease inhibitors)
Purification strategy:
For His-tagged constructs, compare different metal affinity resins (Ni-NTA, Co-based)
Test elution conditions (imidazole gradient vs. step elution)
Evaluate impact of flow rates and binding times
Post-purification processing:
Compare dialysis protocols with different buffer compositions
Evaluate concentration methods (centrifugal filters vs. precipitation)
Test stabilizing additives (glycerol, arginine, trehalose)
Monitor protein quality throughout using multiple analytics (SDS-PAGE, size exclusion chromatography, dynamic light scattering) to identify conditions that minimize aggregation and maintain proper folding.
When facing contradictory results in TNT functional studies:
Methodological approach: Implement a systematic troubleshooting strategy:
Validate reagent quality and specificity:
Confirm antibody specificity using multiple controls
Verify recombinant protein integrity via mass spectrometry
Examine experimental variables:
Cell type-specific effects (test multiple cell lines)
Passage number influences
Media composition differences
Apply complementary methodologies:
If gene knockdown gives contradictory results to overexpression, use CRISPR knockout
Complement in vitro studies with in vivo models
Consider protein partners:
Perform interaction studies under varying conditions
Test if functional results change with co-expression of potential partners
Document all experimental conditions meticulously and analyze variables that differ between contradictory experiments to identify critical factors affecting outcomes.
Given the limited understanding of TNT's function, a multi-pronged research strategy is essential:
Methodological approach: Implement a comprehensive functional characterization program:
Interactome analysis:
Perform BioID or APEX proximity labeling to identify interaction partners
Validate key interactions using co-immunoprecipitation and FRET
Loss-of-function studies:
Generate CRISPR/Cas9 knockout cell lines
Create conditional knockout mouse models
Use inducible shRNA systems for temporal control
Cellular localization studies:
Perform subcellular fractionation coupled with western blotting
Use fluorescently tagged constructs for live-cell imaging
Conduct immunofluorescence studies under different cellular conditions
Transcriptomic and proteomic analysis:
Compare RNA-seq and proteomics profiles between wildtype and knockout models
Analyze changes under various stimuli
This integrated approach can reveal functional roles by connecting TNT to known cellular pathways and processes.
TNT has orthologs in diverse species, including Elephantulus edwardii (Cape elephant shrew) , which can provide valuable insights into conserved functions:
Methodological approach: Conduct comprehensive evolutionary analysis:
Perform multiple sequence alignments of TNT orthologs across diverse species
Identify highly conserved motifs or domains as potential functional regions
Analyze selection pressure (dN/dS ratios) across different regions of the protein
Examine expression patterns of orthologs in different species
Compare promoter regions to identify conserved regulatory elements
Use conserved regions as targets for functional mutation studies, focusing experimental efforts on elements preserved through evolutionary history as these likely represent functionally critical domains.
TNT shows highest expression in testis, tibial nerve, and pituitary gland, with broader expression across other tissues , suggesting potential tissue-specific functions:
Methodological approach: Design tissue-context research strategies:
Prioritize functional studies in high-expression tissues:
Use primary cells or organoid models from testis, nerve tissue, and pituitary
Compare phenotypes between high and low-expressing tissues after manipulation
Investigate tissue-specific interaction partners:
Perform tissue-specific interactome studies using targeted proteomics
Identify tissue-specific post-translational modifications
Explore cell type-specific expression using single-cell analysis:
Analyze single-cell RNA-seq datasets for cell type specificity
Validate with immunohistochemistry in tissue sections
This tissue-focused approach can reveal specialized functions that might be missed in standard cell line models.
The non-conventional CUG start codon of TNT may indicate a role in stress-regulated translation control:
Methodological approach: Design experiments to test stress-response hypotheses:
Analyze TNT translation efficiency under various cellular stresses:
Nutrient deprivation
Endoplasmic reticulum stress
Oxidative stress
Hypoxia
Examine potential interaction with stress-responsive translation factors:
Test binding to eIF2α under normal and phosphorylated states
Evaluate association with stress granule components
Compare translation of TNT mRNA versus canonical mRNAs during integrated stress response activation
These approaches can reveal whether TNT participates in specialized stress response pathways through its unconventional translation mechanism.
Understanding TNT's structure is crucial for functional insights:
Methodological approach: Implement a multi-technique structural biology strategy:
Initial computational structure prediction:
Utilize AlphaFold2 or RoseTTAFold for in silico prediction
Perform molecular dynamics simulations to assess stability
Experimental structure determination options:
X-ray crystallography: Optimize crystallization conditions through sparse matrix screening
NMR spectroscopy: For dynamic regions or if full crystallization proves challenging
Cryo-EM: Particularly useful if TNT functions in larger complexes
Complementary structural techniques:
Hydrogen-deuterium exchange mass spectrometry for dynamics
Small-angle X-ray scattering for solution structure
Circular dichroism for secondary structure content
This integrated approach maximizes the chance of successful structure determination while providing complementary structural information.