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C2orf74, also known as LOC339804, is a protein-encoding gene located on chromosome 2 at position 2p15. The gene spans 19,713 base pairs on the plus strand, beginning at position 61,145,116 and ending at 61,164,828 in the human genome, containing 8 exons in total . Neighboring genes include KIAA841, LOC105374759, LOC105374758, LOC339803, AHSA2P, USP34, and SNORA70B.
For genomic analysis, researchers should:
Utilize genome browsers (UCSC, Ensembl) to visualize exon-intron structure
Analyze promoter regions using tools like JASPAR or TRANSFAC to identify transcription factor binding sites
Design primers spanning exon-exon junctions for specific cDNA amplification
Consider chromatin immunoprecipitation sequencing (ChIP-seq) to identify regulatory elements
Gene neighborhood analysis can provide functional insights through association with better-characterized genes in the region, particularly when investigating potential co-regulation patterns or shared regulatory elements.
C2orf74 has six validated mRNA transcript variants created through alternative splicing, giving rise to two distinct protein isoforms :
| Isoform | Protein Length | Source Transcripts | Transcript Length | Exon Count |
|---|---|---|---|---|
| Isoform 1 | 187 aa | Variant 1 (NM_001143959.4) | 1097 bp | 5 |
| Isoform 2 | 115 aa | Variants 2-6 | 737-1124 bp | 3-6 |
| Isoform 1+ (extended) | 194 aa | Variant 1 extension (A8MZ97) | 1097 bp | 5 |
For isoform-specific research approaches:
Design isoform-specific PCR primers or RT-qPCR assays targeting unique exon junctions
Create expression constructs for each isoform to study functional differences
Develop antibodies targeting isoform-specific regions
When analyzing expression data from public databases, distinguish between transcripts
The extended form (194 aa) is particularly noteworthy as it utilizes a 5' in-frame start codon, though it's not formally recognized as a separate isoform by NCBI . Researchers should specify which isoform they're using in publications, as functional differences may exist between these variants.
C2orf74 has orthologs in approximately 135 different species, primarily placental mammals and some marsupials . Sequence homology analysis reveals varying degrees of conservation:
This conservation pattern suggests the protein may have mammal-specific functions that evolved relatively recently, with higher conservation among primates indicating possible specialized functions.
For evolutionary analyses, researchers should:
Perform multiple sequence alignments (Clustal Omega, MUSCLE) to identify conserved domains
Construct phylogenetic trees to visualize evolutionary relationships
Apply selective pressure analysis (dN/dS ratios) to identify regions under positive or purifying selection
Examine synteny across species to understand evolutionary history of the locus
Consider compensatory evolution patterns in potential binding partners
The moderate conservation level (50% with mouse) suggests functional constraints but allows for species-specific adaptations, making cross-species functional studies particularly informative.
As an uncharacterized protein, C2orf74's structure remains to be experimentally determined. The core sequence has been identified as:
TKKVPCTDANGGVDCAAAKVVTSNPEDHERILMQVMNLNVPMRPGILVQRQSKEVLATPLENRRDMEAEEENQINEKQEPENAGETGQEEDDGLQKIHTSVTRTPSVVESQKRPLKGVTFSREVIVVDLGNEYPTPRSYT
For structural prediction, researchers should employ a multi-tiered approach:
Apply bioinformatic tools (InterPro, SMART, Pfam) to identify potential domains
Use secondary structure prediction algorithms (PSIPRED, JPred)
Analyze the protein with AlphaFold2 or RoseTTAFold for tertiary structure prediction
Create hydrophobicity plots to identify potential membrane-associated regions
Apply disorder prediction tools (PONDR, IUPred) to identify intrinsically disordered regions
Consider experimental approaches like limited proteolysis coupled with mass spectrometry
The isoelectric point of 6.5 indicates a slightly acidic protein, which may influence buffer selection for experimental work. The presence of two cysteine residues in the core sequence suggests potential disulfide bond formation that could be critical for proper folding.
Escherichia coli has been successfully used as an expression system for recombinant human C2orf74, as evidenced by commercially available proteins . The molecular weight of the expressed protein is approximately 18 kDa .
For expression system selection and optimization:
E. coli systems: Use BL21(DE3) or Rosetta strains for high-level expression
Optimize induction temperature (16°C, 25°C, 37°C)
Test different IPTG concentrations (0.1-1.0 mM)
Consider auto-induction media for higher cell densities
Eukaryotic systems for potential post-translational modifications:
Insect cells (Sf9, Sf21) with baculovirus expression systems
Mammalian cells (HEK293, CHO) for native-like processing
Codon optimization: Important for expression in heterologous systems
Construct design: Include appropriate fusion tags (His-tag has proven successful )
Researchers should perform small-scale expression trials to identify optimal conditions before scaling up, and consider testing both full-length protein and stable domains independently if initial expression attempts fail.
The commercially available recombinant C2orf74 uses a C-terminal His tag and achieves ≥85% purity . Given its isoelectric point of 6.5 , researchers should consider:
Primary purification: Immobilized metal affinity chromatography (IMAC)
Optimize imidazole concentrations for binding and elution
Test different metal ions (Ni²⁺, Co²⁺) for selective binding
Secondary purification options:
Size exclusion chromatography to separate monomers from aggregates
Ion exchange chromatography (cation exchange at pH below 6.5)
Buffer optimization:
Screen buffers around the isoelectric point (pH 6.0-7.0)
Test thermal stability using differential scanning fluorimetry
Evaluate additives (glycerol, salts, reducing agents) for stability
Quality control:
SDS-PAGE for purity assessment
Western blot for identity confirmation
Mass spectrometry for accurate mass determination
Dynamic light scattering for homogeneity assessment
For challenging purifications, consider on-column refolding protocols or fusion with solubility-enhancing tags (MBP, SUMO) that can be removed after purification.
For an uncharacterized protein without established functional assays, folding assessment requires multiple complementary approaches:
Biophysical characterization:
Circular dichroism (CD) spectroscopy to assess secondary structure content
Fluorescence spectroscopy to probe tertiary structure
Differential scanning calorimetry to determine thermal stability
Size exclusion chromatography coupled with multi-angle light scattering (SEC-MALS) to assess oligomeric state
Stability assessment:
Thermal shift assays (Thermofluor) to identify stabilizing buffer conditions
Time-course analyses of aggregation propensity
Freeze-thaw stability tests for storage optimization
Structural integrity:
Limited proteolysis followed by mass spectrometry to identify stable domains
Hydrogen-deuterium exchange mass spectrometry to probe solvent accessibility
Nuclear magnetic resonance (NMR) spectroscopy for structural assessment
The presence of two cysteine residues in the core sequence suggests monitoring disulfide bond formation may be important for verifying proper folding.
For functional characterization of C2orf74, researchers should implement a multi-dimensional approach:
Localization studies:
Fluorescently tagged constructs for live-cell imaging
Subcellular fractionation followed by Western blotting
Immunofluorescence with organelle markers
Interactome analysis:
Affinity purification coupled with mass spectrometry
Yeast two-hybrid screening
Proximity labeling methods (BioID, APEX)
Loss-of-function studies:
CRISPR-Cas9 knockout in relevant cell lines
siRNA knockdown followed by phenotypic assays
Rescue experiments to confirm specificity
Transcriptomic profiling:
RNA-seq after overexpression or knockdown
Pathway enrichment analysis of differentially expressed genes
Disease-relevant assays based on known associations:
The disease associations of C2orf74 with autoimmune disorders and colon diseases provide important context for designing targeted functional assays.
Understanding the expression pattern of C2orf74 is critical for functional insights:
The prognostic significance of C2orf74 expression in multiple cancer types suggests value in comparing expression levels between normal and malignant tissues, with potential clinical applications.
C2orf74 has been linked to autoimmune disorders, particularly ankylosing spondylitis . To investigate this connection:
Genetic approaches:
SNP analysis in patient cohorts
Haplotype mapping in affected families
Assessment of linkage disequilibrium with known risk loci
Expression analysis:
Quantify expression in immune cells from patients vs. controls
Compare expression in affected vs. unaffected tissues
Correlate expression with inflammatory markers
Functional studies:
Examine impact on cytokine production in immune cells
Assess effects on NF-κB signaling
Evaluate influence on T cell activation and differentiation
Animal models:
Evaluate C2orf74 expression in established autoimmune models
Generate transgenic models expressing disease-associated variants
Test therapeutic approaches targeting the protein or its pathway
The 50% identity between human and mouse orthologs indicates that mouse models may be suitable for mechanistic studies, though important functional differences could exist.
Evidence suggests C2orf74 may play a role in colon diseases and colorectal cancer prognosis :
Expression analysis in colorectal tissues:
Compare normal mucosa, adenomas, and carcinomas
Correlate with cancer stage and histological features
Assess relationship with microsatellite stability status
Prognostic value assessment:
Kaplan-Meier survival analysis in patient cohorts
Multivariate analysis with established prognostic factors
Development of prognostic signatures including C2orf74
Functional studies in colon cell models:
Establish knockdown/knockout in colorectal cancer cell lines
Assess impact on hallmarks of cancer (proliferation, migration, apoptosis)
Investigate effects on epithelial-to-mesenchymal transition
Mechanistic investigations:
Identify signaling pathways affected by C2orf74 modulation
Examine relationship with known colorectal cancer drivers
Assess impact on inflammatory responses in the colon
A C2orf74 variant has been reported to segregate with Waardenburg syndrome 2 (WS2) in a large family, with some exceptions (individuals V:1 and V:2) . To investigate this association:
Genetic approaches:
Sequence C2orf74 in additional WS2 families
Analyze co-occurrence with known WS2 genes (especially MITF)
Perform segregation analysis in extended families
Functional characterization of variants:
Developmental studies:
Examine effects on neural crest migration
Assess impact on melanocyte differentiation
Investigate influence on cochlear development
Mechanistic analysis:
Test whether C2orf74 variants affect MITF expression or activity
Assess impact on SOX10-MITF-TYR pathway
Determine if variants alter protein localization or stability
The co-occurrence of C2orf74 and MITF variants in WS2 patients suggests potential functional interaction that requires further investigation.
Given the uncharacterized nature of C2orf74, rigorous controls are critical:
Protein expression controls:
Empty vector/tag-only controls
Irrelevant protein expressed with the same system
Multiple expression systems to confirm findings
Knockdown/knockout controls:
Non-targeting siRNA/sgRNA
Rescue experiments with wild-type protein
Phenotype comparison with known genes in related pathways
Interaction study controls:
Tag-only pull-downs
Competition with untagged protein
Reciprocal co-immunoprecipitation
Antibody validation:
Peptide competition assays
Testing in knockout/knockdown samples
Cross-reactivity assessment with related proteins
Expression analysis controls:
Multiple reference genes for qPCR
Comparison across detection methods (RNA-seq, qPCR, protein)
Cell-type specific markers in heterogeneous samples
For disease studies, using multiple patient cohorts and replication in independent populations is essential to confirm associations with confidence.
Cell model selection should be guided by expression patterns and disease associations:
Based on disease associations:
Expression-guided selection:
Analyze public databases to identify high-expressing cell types
Consider developmental context for embryonic studies
Match model to relevant tissue/organ system
Technical considerations:
Transfection efficiency for overexpression studies
Genetic manipulation capability (CRISPR amenability)
Availability of assay systems for functional readouts
Physiological relevance:
Primary cells vs. cell lines
3D culture systems (organoids, spheroids)
Co-culture models to study cell-cell interactions
The prognostic significance of C2orf74 in multiple cancer types suggests cancer cell lines may provide valuable insights, particularly colorectal cancer models where expression correlates with survival outcomes.
Researching uncharacterized proteins presents unique challenges requiring specialized approaches:
Knowledge gap strategies:
Start with subcellular localization to narrow potential functions
Use comparative genomics with better-characterized orthologs
Apply domain prediction to suggest functional categories
Technical approaches:
Multi-omics integration (transcriptomics, proteomics, metabolomics)
High-content screening to identify phenotypic changes
Network analysis to place the protein in functional context
Collaboration strategies:
Form consortia with complementary expertise
Establish resource sharing for reagents and models
Create centralized databases for findings
Funding considerations:
Target special initiatives for uncharacterized proteins
Emphasize disease relevance in proposals
Frame research questions within broader biological contexts
For C2orf74 specifically, leveraging its disease associations with autoimmune disorders , colon diseases , and Waardenburg syndrome provides entry points for functional investigation.
Integrative approaches combining multiple data types can accelerate functional discovery:
Data integration strategies:
Correlate transcriptomics with proteomics after C2orf74 modulation
Link genomic variants to expression patterns (eQTL analysis)
Integrate epigenomic data to understand regulation
Apply metabolomics to identify affected pathways
Network biology approaches:
Construct protein-protein interaction networks
Develop gene regulatory networks
Identify signaling pathway impacts
Computational methods:
Apply machine learning to identify patterns across datasets
Use systems biology modeling to predict functional impacts
Develop causal inference methods to establish directionality
Public data mining:
Leverage TCGA/GTEx data for expression patterns
Analyze GWAS data for disease associations
Mine proteomics databases for post-translational modifications
The prognostic significance of C2orf74 in multiple cancer types provides a valuable context for multi-omics investigation, particularly regarding its potential role in cancer progression mechanisms.
Several cutting-edge technologies offer promising approaches for uncharacterized proteins:
Advanced imaging:
Super-resolution microscopy for detailed localization
Live-cell imaging with optogenetic control
Correlative light and electron microscopy
Genome engineering:
CRISPR-based screening (knockout, activation, interference)
Base editing for precise mutation introduction
CRISPR-Cas13 for RNA-level manipulation
Single-cell technologies:
Multimodal single-cell analysis (RNA, protein, chromatin)
Spatial transcriptomics for tissue context
Single-cell proteomics for protein-level insights
Structural biology innovations:
Cryo-electron microscopy for structure determination
Hydrogen-deuterium exchange mass spectrometry for dynamics
Integrative structural biology combining multiple data types
For C2orf74 specifically, applying these technologies in the context of its disease associations could yield particularly valuable insights into its function and potential as a therapeutic target.
Despite limited functional understanding, several approaches can guide therapeutic development:
Target validation strategies:
Confirm disease relevance through genetic models
Identify critical interaction partners as potential co-targets
Establish biomarkers for patient stratification
Therapeutic modalities to consider:
Small molecule inhibitors targeting protein interactions
Biologics (antibodies, peptides) for specific binding
RNA-based therapies (antisense, siRNA) for expression modulation
Screening approaches:
Structure-based virtual screening if models available
Phenotypic screening in disease-relevant assays
Fragment-based drug discovery
Translational considerations:
Develop appropriate animal models for efficacy testing
Establish patient-derived systems for personalized approaches
Identify potential combination therapies based on pathway analysis
The association of C2orf74 with multiple diseases provides several potential therapeutic directions, with autoimmune applications perhaps being most immediately promising given the strong link to ankylosing spondylitis.