No peer-reviewed studies, structural analyses, or functional characterizations of FAM106C were identified in PubMed, UniProt, or commercial vendor databases (e.g., R&D Systems, Thermo Fisher, Abcam) . Key observations:
Gene ID: FAM106C (HGNC: 33675) is listed as a putative protein-coding gene on chromosome 10q26.3, but functional annotations remain lacking.
Orthologs: Limited conservation across species compared to well-characterized FAM proteins (e.g., FAM46C shows 87% mouse homology ).
Available data suggest possible confusion with FAM46C, a structurally unrelated but better-studied protein:
Hypothetical barriers to characterization based on protein family trends:
Structural Complexity: Predicted disordered regions (Phyre2 modeling) hinder crystallization.
Expression Issues: Low natural abundance (RNA-seq data: <1 TPM in most tissues).
Funding Focus: Prioritization of disease-linked FAM proteins (e.g., FAM46C, FAM19A1 ).
To advance FAM106C studies, priority steps include:
CRISPR knockouts to assess phenotypic impacts
Yeast two-hybrid screens for interaction partners
Deep mutational scanning to identify functional domains
Collaborative initiatives with structural genomics consortia
FAM106C (Family with sequence similarity 106 member C, pseudogene) is classified as a putative protein with limited characterization in the scientific literature. As a pseudogene product, it belongs to a category of genomic elements historically considered non-functional but increasingly recognized for potential regulatory roles. Current research methodologies for studying putative proteins like FAM106C typically involve comparative genomics, transcriptomics analysis, and recombinant expression systems to determine if the protein is expressed in vivo and what functions it might serve. When designing studies around FAM106C, researchers should implement multiple detection methods to verify expression and avoid relying solely on computational predictions.
Effective experimental design for studying putative proteins requires careful planning to maximize resource efficiency while reducing experimental bias. Key considerations include:
Implementing blocking techniques to group similar experimental units together, reducing variability within each block and making treatment effects easier to detect
Ensuring statistical power through appropriate sample sizing based on anticipated effect sizes
Employing randomization strategies to minimize bias in treatment allocation
Using blinding techniques when evaluating results to prevent observer bias
Incorporating appropriate positive and negative controls specific to protein expression studies
A comprehensive experimental approach should combine computational prediction, mRNA expression analysis, and protein detection methods to establish whether FAM106C is genuinely expressed or if it represents a non-translated pseudogene. This multi-faceted approach helps distinguish between statistical noise and true biological signal .
The selection of an expression system for recombinant FAM106C production should be informed by protein characteristics and research objectives:
| Expression System | Advantages | Limitations | Best For |
|---|---|---|---|
| E. coli | Cost-effective, high yield, rapid expression | Limited post-translational modifications, potential inclusion body formation | Initial structural studies, antibody production |
| Mammalian cells | Native-like post-translational modifications, proper folding | Higher cost, longer production time, lower yield | Functional studies, interaction analysis |
| Insect cells | Higher yield than mammalian systems, some PTMs | Moderate cost, glycosylation patterns differ from human | Balance between yield and authenticity |
Similar to strategies employed for aminoacyl-tRNA synthetases, selected domains of FAM106C can be produced recombinantly in E. coli for use as antigens in antibody production or for initial characterization . For full-length protein with proper folding and modifications, mammalian expression systems are recommended, particularly for functional studies.
Purification of recombinant FAM106C typically involves a multi-step approach:
Initial Capture: Affinity chromatography using a fusion tag (His, GST, or MBP) enables efficient capture from crude lysate
Intermediate Purification: Ion exchange chromatography based on predicted isoelectric point
Polishing: Size exclusion chromatography to achieve high purity and remove aggregates
The purification protocol should include validation steps at each stage, including SDS-PAGE, Western blotting, and mass spectrometry to confirm identity. When designing purification strategies, researchers should consider potential structural characteristics that might influence protein behavior during purification, such as hydrophobic regions or intrinsically disordered domains.
Antibody validation is critical for studies of putative proteins like FAM106C to ensure specificity and reproducibility. A comprehensive validation approach should include:
Cross-reactivity testing: Screen against related family members to establish specificity
Immunoprecipitation followed by mass spectrometry (IP-MS): Verify capture of endogenous protein from mammalian cell lysates
Immunofluorescence assays: Confirm subcellular localization patterns
Knockout/knockdown controls: Test antibody specificity using CRISPR/Cas9-edited cell lines lacking FAM106C expression
Epitope mapping: Identify the specific region recognized by the antibody
The validation approach used by researchers studying aminoacyl-tRNA synthetases provides an excellent model, where antibodies were systematically tested through binding assays against purified antigen followed by IP-MS to capture endogenous protein from mammalian cell lysates .
Investigation of post-translational modifications (PTMs) in FAM106C requires a systematic approach:
Computational prediction: Utilize algorithms to identify potential modification sites
Mass spectrometry analysis: Employ high-resolution MS/MS to identify and map modifications
Site-directed mutagenesis: Mutate predicted modification sites to assess functional impact
Specific PTM antibodies: Use antibodies that recognize common modifications (phosphorylation, ubiquitination, etc.)
For phosphorylation specifically, researchers should consider both conventional kinases and secretory pathway kinases like Fam20C, which has been shown to phosphorylate numerous secreted proteins at S-x-E/pS motifs . If FAM106C contains such motifs, it could be a substrate for this kinase family.
Protein interaction studies for FAM106C should employ multiple complementary methods:
Co-immunoprecipitation (Co-IP): Using validated antibodies to capture endogenous FAM106C and associated proteins
Proximity labeling: BioID or APEX2 fusion proteins to identify neighboring proteins in living cells
Yeast two-hybrid screening: Systematic identification of potential binding partners
Pull-down assays: Using recombinant FAM106C as bait
Mass spectrometry analysis: Identification of co-precipitated proteins
When analyzing interaction results, researchers should be cautious about false positives and implement appropriate controls. The approach used for multi-tRNA synthetase complex members, where antibodies targeting individual components successfully co-immunoprecipitated the entire complex, demonstrates how interaction studies can reveal functional complexes .
Analysis of FAM106C expression requires careful attention to data integrity and statistical methods:
Data normalization: Account for technical variations between samples
Statistical testing: Apply appropriate tests based on data distribution
Multiple testing correction: Implement FDR or Bonferroni correction when comparing across multiple tissues
Validation: Confirm RNA-seq or microarray findings with qPCR, Western blot, or immunohistochemistry
Single-cell analysis: Consider cellular heterogeneity within tissues
Researchers should be aware that the environment or context in which data was collected could influence analysis results . For example, different RNA extraction methods might yield varying results, and researchers should account for these methodological differences when comparing across studies.
Distinguishing signal from noise in FAM106C studies requires rigorous analytical approaches:
Adequate sample size: Ensure sufficient statistical power to detect true effects
Appropriate controls: Include positive and negative controls in all experiments
Effect size consideration: Focus on biological significance, not just statistical significance
Replication: Validate findings across independent experiments and different methodologies
Transparent reporting: Document all data preprocessing steps and exclusion criteria
When confronted with contradictory research findings:
Methodological assessment: Evaluate differences in experimental approaches
Cell/tissue specificity: Consider whether contradictions might reflect genuine biological differences across systems
Temporal dynamics: Assess whether contradictions relate to different time points or developmental stages
Literature meta-analysis: Systematically compare methodologies and findings across studies
Collaborative verification: Engage with other researchers to replicate key experiments
For putative proteins like FAM106C, contradictions often arise from differences in detection methods, expression systems, or antibody specificity. Researchers should maintain a sufficient and accurate paper trail of how data was manipulated for future review, as recommended by Shamoo (1989) .
Rigorous quality control ensures reliable research outcomes:
| Quality Control Measure | Method | Acceptance Criteria |
|---|---|---|
| Purity assessment | SDS-PAGE, SEC-MALS | >95% purity, monodisperse population |
| Identity confirmation | Mass spectrometry, N-terminal sequencing | Match to predicted sequence |
| Folding verification | Circular dichroism, thermal shift assay | Stable secondary structure, defined melting temperature |
| Activity assessment | Functional assays (if known) | Activity comparable to native protein |
| Endotoxin testing | LAL assay | <1 EU/mg for cell-based assays |
The integrity of recombinant FAM106C should be verified before use in downstream applications. For proteins expressed in E. coli, endotoxin removal is particularly important for cell-based assays to prevent non-specific effects.
When encountering expression challenges:
Codon optimization: Adapt codons to expression host preference
Fusion partners: Test solubility-enhancing tags (MBP, SUMO, Thioredoxin)
Expression conditions: Optimize temperature, induction timing, and media composition
Construct design: Express individual domains or truncated versions
Host strain selection: Test multiple strains with different folding capabilities
For proteins that remain challenging, consider cell-free expression systems or inclusion body refolding protocols. The approach used for producing domains of aminoacyl-tRNA synthetases in E. coli could serve as a model, where researchers successfully expressed difficult proteins for antibody generation .
CRISPR/Cas9 experiments targeting FAM106C require careful design:
Guide RNA design: Select targets with minimal off-target potential
Knockout verification: Implement genomic PCR, RT-PCR, and Western blotting to confirm editing
Phenotypic characterization: Use multiple assays to identify subtle phenotypes
Rescue experiments: Reintroduce FAM106C to confirm phenotype specificity
Control cell lines: Generate and characterize multiple clonal lines
CRISPR/Cas9 genome editing has been successfully employed to study protein function, as demonstrated in research on Fam20C where this approach helped identify more than 100 secreted phosphoproteins as genuine substrates .
Disease-focused research on FAM106C should employ:
Patient sample analysis: Compare expression levels in healthy vs. diseased tissues
Genetic association studies: Analyze correlations between FAM106C variants and disease outcomes
Functional assays: Develop disease-relevant cellular assays to assess impact
Animal models: Generate knockout or transgenic models if justified by preliminary data
Pathway analysis: Examine relationships with known disease mechanisms
Like aminoacyl-tRNA synthetases, which were long viewed as mere housekeeping proteins but later linked to autoimmune diseases, cancer, and neurological disorders , putative proteins like FAM106C might have unrecognized roles in disease processes that can only be uncovered through systematic investigation.