Recombinant Human Protein FAM73A, also known as Mitoguardin 1 or MIGA1, is a protein encoded by the FAM73A gene in humans. It plays a crucial role in mitochondrial function, particularly in regulating mitochondrial fusion by forming homo- and heterodimers at the mitochondrial outer membrane. This process facilitates the formation of PLD6/MitoPLD dimers, which may be involved in phospholipid metabolism regulation via PLD6/MitoPLD .
Recent studies have highlighted the significance of FAM73A in cancer research. For instance, circular RNA circFAM73A, derived from the FAM73A gene, has been shown to promote cancer stem cell-like properties in gastric cancer by regulating HMGA2 expression and enhancing β-catenin stability . This suggests that FAM73A and its related circular RNAs could serve as potential biomarkers or therapeutic targets in cancer.
Recombinant proteins like FAM73A are produced through genetic engineering, where the gene of interest is inserted into a host organism for expression. These proteins are widely used in research for studying protein interactions, enzyme activities, and cellular responses. They can also serve as standards or controls in immunostaining assays .
| Application | Description |
|---|---|
| Protein Interactions | Investigate interactions with other proteins or ligands |
| Enzyme Activities | Study enzyme functions and kinetics |
| Cellular Responses | Examine effects on cell growth, differentiation, and signaling pathways |
| Immunostaining Assays | Used as standards or controls for detecting specific proteins |
FAM73A, also known as MIGA1 or Mitoguardin 1, functions primarily as a regulator of mitochondrial fusion. Its biological mechanism involves forming both homo- and heterodimers at the mitochondrial outer membrane, which facilitates the formation of PLD6/MitoPLD dimers. Through this activity, FAM73A may regulate phospholipid metabolism via the PLD6/MitoPLD pathway . Methodologically, researchers investigating FAM73A function should consider both mitochondrial morphology analysis and phospholipid metabolism assays to comprehensively understand its cellular impact.
For effective detection of FAM73A across various human tissues, immunohistochemistry with appropriate antibodies has proven highly successful. Research has demonstrated that FAM73A exhibits distinctive granular cytoplasmic positivity patterns that vary by tissue type:
In testis: Moderate granular cytoplasmic positivity specifically in Leydig cells
In placenta: Strong granular cytoplasmic positivity in trophoblastic cells
In kidney: Moderate granular cytoplasmic positivity in tubular cells
When selecting antibodies, rabbit polyclonal antibodies (such as ab121532) have demonstrated good specificity at dilutions of approximately 1/20 for immunohistochemical applications. For immunofluorescence applications (ICC/IF), similar antibodies can be utilized with appropriate optimization of concentration.
Expression analysis across multiple cell lines reveals important variations in FAM73A levels. In gastric cancer research, studies have shown that while circular RNA derived from the FAM73A gene (circFAM73A) shows significant upregulation in gastric cancer tissues compared to adjacent normal tissues, the expression of linear FAM73A mRNA itself remains unchanged in certain gastric cancer cell lines such as AGS and SGC7901 . This differential regulation between circular and linear forms of the same gene represents an important consideration for experimental design. Researchers should employ both circular RNA-specific and conventional mRNA detection methods when profiling FAM73A in disease contexts.
The relationship between FAM73A and circFAM73A represents a complex regulatory circuit with significant implications for cancer biology. While FAM73A encodes a functional mitochondrial protein, circFAM73A functions through distinct molecular mechanisms:
CircFAM73A is formed through back-splicing of the FAM73A gene transcript
Unlike linear FAM73A mRNA, circFAM73A demonstrates significantly enhanced stability against RNase R digestion
CircFAM73A acts as a miRNA sponge, particularly sequestering miR-490-3p
Through a positive feedback mechanism, HMGA2 (regulated by circFAM73A through miR-490-3p) facilitates transcriptional activation of FAM73A via E2F1 and enhances circFAM73A circularization through HNRNPL
For researchers studying either form, it is critical to design experiments that can distinguish between linear and circular transcripts through RNase R treatment followed by RT-qPCR with divergent primers.
While specific purification protocols for recombinant FAM73A are not directly detailed in the provided research, effective purification typically employs an immunogen corresponding to recombinant fragment protein within Human MIGA1 aa 250-450 . For optimal results, researchers should consider:
Expression in mammalian systems to ensure proper post-translational modifications
Inclusion of appropriate solubility tags given FAM73A's membrane association properties
Two-step purification combining affinity chromatography followed by size exclusion
Validation of purified protein through Western blotting with specific antibodies
Functional assessment through mitochondrial binding assays
CircFAM73A plays a critical role in promoting cancer stem cell (CSC)-like properties in gastric cancer through multiple molecular mechanisms:
MiRNA Regulation Pathway: CircFAM73A functions as a miRNA sponge for miR-490-3p, effectively preventing miR-490-3p from suppressing HMGA2. This leads to increased HMGA2 expression, which promotes stemness properties .
Protein Recruitment Mechanism: CircFAM73A directly recruits the protein HNRNPK, which:
Positive Feedback Loop: A sophisticated regulatory circuit exists wherein:
Experimental data demonstrates that elevated circFAM73A correlates with poor prognosis in gastric cancer patients, suggesting its potential utility as both a prognostic biomarker and therapeutic target .
Based on successful approaches documented in the literature, researchers investigating circFAM73A should consider the following methodological pipeline:
Expression Analysis:
Functional Assessment:
RNA interference using specifically designed shRNAs targeting the back-splice junction
Sphere formation assays to evaluate cancer stemness
Cisplatin resistance assays to assess chemoresistance properties
Xenograft models for in vivo validation
Molecular Interaction Studies:
These approaches have successfully elucidated circFAM73A's role in gastric cancer and can be adapted for investigations in other cancer types.
The FAM73A-BRAF fusion gene represents an important alternative genetic mechanism for BRAF activation in certain disease contexts, particularly in Langerhans cell histiocytosis (LCH). While the search results provide limited detail on this specific fusion, methodological approaches used to identify and characterize it include:
Whole-exome sequencing (WES) to identify candidate fusion events
Targeted BRAF gene sequencing to confirm fusion boundaries
Transcriptome sequencing (RNA-seq) to validate expression of the fusion transcript
Targeted sequencing specifically designed to detect the FAM73A-BRAF fusion
This fusion likely creates a chimeric protein that alters BRAF function, potentially activating downstream MAPK signaling pathways similar to other BRAF alterations in cancer. For researchers studying this fusion, it is critical to establish functional validation through:
Expression of the recombinant fusion protein
Assessment of kinase activity
Evaluation of downstream pathway activation
Testing sensitivity to BRAF and MEK inhibitors
Differentiating between wild-type FAM73A and its variants requires a multi-modal approach:
Genetic Detection:
PCR with primers spanning expected fusion junctions or mutation hotspots
Next-generation sequencing for comprehensive mutational analysis
Digital droplet PCR for quantitative assessment of mutation allele frequency
Protein-Level Detection:
Western blotting with antibodies targeting different regions of FAM73A
Immunoprecipitation followed by mass spectrometry
Size-exclusion chromatography to separate fusion proteins based on molecular weight differences
Functional Assessment:
Mitochondrial morphology analysis in cells expressing wild-type vs. variant FAM73A
PLD6/MitoPLD dimerization assays
Phospholipid metabolism analysis
For fusion proteins specifically, researchers should design experimentation to assess both the activities of the original proteins and any novel functions that may arise from the fusion.
To study FAM73A's role in mitochondrial dynamics, researchers should consider:
Cellular Models:
Cell lines with endogenous FAM73A expression (validated by Western blot)
CRISPR-Cas9 engineered FAM73A knockout cell lines
Rescue experiments with wild-type and mutant FAM73A constructs
Visualization Techniques:
Live-cell imaging with mitochondrial-specific dyes (MitoTracker)
Confocal microscopy for high-resolution analysis of mitochondrial morphology
Super-resolution microscopy for detailed analysis of FAM73A localization at the mitochondrial outer membrane
Functional Assessments:
Mitochondrial fusion assays using photoactivatable fluorescent proteins
Colocalization studies with PLD6/MitoPLD to assess facilitation of dimer formation
Phospholipid metabolism analysis focusing on pathways regulated by PLD6/MitoPLD
These approaches collectively provide comprehensive insights into FAM73A's functional role in mitochondrial dynamics.
Researchers working with recombinant FAM73A frequently encounter several technical challenges:
Protein Solubility Issues:
As a mitochondrial membrane-associated protein, FAM73A can present solubility challenges
Solution: Use mild detergents (0.1% Triton X-100) during extraction and consider fusion tags (MBP or SUMO) to enhance solubility
Antibody Specificity Concerns:
Mitochondrial Localization Assessment:
Ensuring proper subcellular localization of recombinant constructs
Solution: Include appropriate mitochondrial targeting sequences and validate localization through colocalization with established mitochondrial markers
Circular RNA vs. Linear mRNA Distinction:
When investigating FAM73A's role in mitochondrial function, the following controls are crucial:
Expression Controls:
Empty vector controls for overexpression studies
Non-targeting siRNA/shRNA for knockdown experiments
Rescue experiments with wild-type FAM73A to confirm specificity of knockdown phenotypes
Localization Controls:
Mitochondrial marker proteins (TOM20, MitoTracker dyes)
FAM73A constructs with mutated mitochondrial targeting sequences
Subcellular fractionation quality controls
Functional Assessment Controls:
Positive controls for mitochondrial fusion (MFN1/2 overexpression)
Negative controls for mitochondrial fusion (DRP1 overexpression)
Time-course assessments to capture dynamic changes
Interaction Controls:
GST-only controls for pulldown experiments
IgG controls for immunoprecipitation
Competition assays with unlabeled proteins to confirm specificity
When facing contradictory results regarding FAM73A function, researchers should consider these methodological approaches:
Cell Type Specificity Analysis:
Isoform-Specific Investigations:
Determine if contradictions arise from studying different FAM73A isoforms
Assess the relative abundance of linear vs. circular FAM73A forms
Design experiments to isolate effects of specific variants
Context-Dependent Regulation:
Evaluate FAM73A function under different cellular stresses (hypoxia, nutrient deprivation)
Assess interaction with different binding partners across experimental contexts
Consider post-translational modifications that might alter function
Technical Reconciliation:
Standardize experimental conditions across studies
Employ multiple complementary techniques to validate findings
Consider temporal dynamics in FAM73A function that might explain apparently contradictory snapshots
Based on current understanding of FAM73A biology, several therapeutic strategies show promise:
CircFAM73A-Targeted Approaches:
Antisense oligonucleotides targeting the back-splice junction
siRNAs specifically designed against the unique junction sequence
CRISPR-Cas13 systems for targeted RNA degradation
Disruption of Regulatory Feedback Loops:
Combinatorial Approaches:
Pairing circFAM73A inhibition with conventional chemotherapeutics like cisplatin
Targeting circFAM73A in combination with anti-cancer stem cell therapies
Dual inhibition of both circular and linear FAM73A in appropriate contexts
Clinical relevance is supported by findings that elevated circFAM73A predicts poor prognosis in gastric cancer patients, suggesting potential utility as both a prognostic biomarker and therapeutic target .
FAM73A and its derivatives show significant potential as biomarkers in several contexts:
CircFAM73A as a Prognostic Indicator:
FAM73A-BRAF Fusion as a Diagnostic Marker:
Tissue-Specific Expression Patterns: