FAM43A antibodies are critical tools in studying the protein’s role in:
Mitochondrial Regulation: FAM43A coordinates mtDNA replication and mitochondrial biogenesis during mtDNA depletion, acting via CHK2-p53R2 signaling to limit mitochondrial turnover .
Cancer Research: Upregulated in triple-negative breast cancer (TNBC) and early T-cell precursor leukemia, FAM43A may have dual roles as both an oncogene and tumor suppressor .
Neurological Studies: Linked to autism spectrum disorder (ASD) via promoter-region SNP rs789859, with differential expression in brain regions like the corpus callosum and hypothalamus .
Tissue Specificity: High expression in adipose tissue, spleen, and infant developmental stages .
Subcellular Localization: Predicted nuclear localization with caspase 3/7 cleavage sites, suggesting possible membrane-to-nucleus translocation .
Disease States:
FAM43A interacts with proteins involved in signaling and apoptosis:
These interactions suggest roles in RNA processing, cell cycle regulation, and stress response .
Mitochondrial Checkpoint: FAM43A limits mitochondrial biogenesis during mtDNA replication stress, preventing excessive organelle turnover .
Cancer Implications: Conflicting data on its role—upregulated in TNBC but proposed as a tumor suppressor in unpublished studies .
Structural Features: Contains phosphotyrosine interaction and nuclear localization signals, conserved across vertebrates and invertebrates .
Current antibodies lack validation in non-human primate models, and FAM43A’s precise molecular mechanisms remain unclear. Future studies should explore its dual roles in cancer and mitochondrial dynamics using CRISPR-based models.
FAM43A (family with sequence similarity 43, member A) is a protein involved in cellular function and signaling pathways. Recent research has identified FAM43A as a CHK2-dependent early responder to mitochondrial DNA depletion that performs a checkpoint-like function in limiting mitochondrial biogenesis and turnover . Additionally, FAM43A has been identified as one of six genes in a prediction model for triple negative breast cancer recurrence . The growing importance of this protein in cancer research and mitochondrial biology makes antibodies against FAM43A valuable tools for investigating its expression and function in various cellular contexts.
FAM43A antibodies are primarily used in the following research applications:
Researchers should validate the antibody in their specific experimental setup as expression patterns may vary between tissues and species.
FAM43A expression has been detected in multiple tissues including brain, skeletal muscle, and heart. In zebrafish, FAM43A (fam43a) is expressed in blood vessels, nervous system, optic primordium, optic vesicle, and solid lens vesicle . For optimal sample preparation:
For protein extraction: Use standard RIPA buffer with protease inhibitors
For paraffin-embedded tissues: Heat-induced antigen retrieval methods (citrate buffer pH 6.0) are recommended
For immunofluorescence: 4% paraformaldehyde fixation followed by permeabilization with 0.1-0.3% Triton X-100
For Western blot applications, mouse brain and skeletal muscle tissues have been successfully used to detect FAM43A at approximately 46 kDa .
Recent research published in the Journal of Cell Biology (2025) has revealed that FAM43A plays a critical role in coordinating mitochondrial DNA (mtDNA) replication and mitochondrial biogenesis . The study identified FAM43A as a CHK2-dependent early responder to mtDNA depletion. For researchers investigating mitochondrial functions of FAM43A:
Recommended approach: Use mtDNA-depleted cell models (e.g., IMR90 cells) treated with mtDNA depletion agents
Key measurements: Monitor mtDNA copy number, OXPHOS activity, and mitochondrial mass
Protein interactions: Investigate FAM43A's relationship with CHK2 and p53R2 form of ribonucleotide reductase
Knockdown studies: FAM43A depletion has been shown to activate mitochondrial biogenesis programs
This research suggests FAM43A performs a checkpoint-like function to limit mitochondrial biogenesis under conditions of mtDNA depletion or replication stress .
FAM43A has been identified as part of a six-gene prediction model for triple negative breast cancer (TNBC) recurrence in Taiwanese patients . This model, which includes SLC22A23, PRKAG3, DPEP3, MORC2, GRB7, and FAM43A, demonstrated 91.7% accuracy in predicting cancer recurrence. For cancer researchers studying FAM43A:
Expression analysis: Compare FAM43A expression between normal and cancerous tissues
Prognostic studies: Consider FAM43A expression in conjunction with other genes in the prediction model
Population considerations: Evidence suggests ethnic differences in gene expression patterns, so include appropriate demographic controls
Pathway analysis: Two pathways significantly associated with TNBC recurrence were cAMP-mediated signaling and ephrin receptor signaling
The research indicates that FAM43A may have different prognostic significance in Asian versus Caucasian populations, suggesting the importance of controlling for ethnic background in cancer studies involving this gene.
Most commercially available FAM43A antibodies are polyclonal antibodies raised in rabbits. These differences impact research applications:
For most research applications involving FAM43A, polyclonal antibodies provide good detection across multiple techniques, but researchers should validate specificity using appropriate controls.
For successful Western blot detection of FAM43A:
Lysate preparation:
Use RIPA buffer with protease inhibitors
For brain and skeletal muscle tissues, additional mechanical disruption may be required
Gel electrophoresis and transfer:
10-12% SDS-PAGE gels are appropriate for the 46 kDa FAM43A protein
Standard PVDF membranes (0.45 μm) are suitable for transfer
Blocking and antibody incubation:
Detection and troubleshooting:
For optimal immunohistochemistry results with FAM43A antibodies:
Tissue preparation:
Formalin-fixed paraffin-embedded (FFPE) sections at 4-6 μm thickness
Heat-induced epitope retrieval (HIER) using citrate buffer (pH 6.0)
Antibody incubation:
Detection systems:
HRP/DAB detection systems work well for FAM43A visualization
For fluorescent detection, secondary antibodies conjugated with bright fluorophores are recommended
Controls and validation:
Signal interpretation:
When designing experiments involving FAM43A antibodies, include these essential controls:
Positive tissue controls:
Negative controls:
Secondary antibody only (omitting primary antibody)
Tissues/cells known not to express FAM43A
Isotype controls (non-specific IgG from same species)
Validation controls:
Recombinant FAM43A protein for specificity testing
FAM43A knockdown or knockout cells/tissues
Peptide competition assays using the immunogenic peptide
Expression controls:
These controls help ensure the specificity of antibody binding and validate experimental findings.
For cancer researchers investigating FAM43A expression:
Cohort selection:
Multi-omics approach:
Analysis methods:
Quantitative scoring of tissue microarrays
Cox proportional hazards models for survival analysis
Machine learning approaches for prediction model validation
Pathway enrichment analysis
Validation strategies:
This approach allows for robust evaluation of FAM43A's role in cancer progression and prognosis.
Based on recent research , investigators studying FAM43A's mitochondrial functions should consider:
Cell models:
IMR90 cells (shown to maintain OXPHOS after mtDNA depletion)
mtDNA-depleted cell lines created using ethidium bromide or other depletion agents
FAM43A knockdown and overexpression models
Key measurements:
mtDNA copy number quantification (qPCR)
Mitochondrial mass assessment (MitoTracker staining, porin/VDAC quantification)
OXPHOS activity (Seahorse analysis, complex activity assays)
CHK2 phosphorylation and activity
p53R2 ribonucleotide reductase expression and activity
Experimental designs:
Time-course studies following mtDNA depletion
Rescue experiments with FAM43A re-expression
CHK2 inhibition studies
Interaction studies (co-immunoprecipitation, proximity ligation assays)
Advanced approaches:
Live-cell imaging of mitochondrial dynamics
Mitochondrial proteomics before and after FAM43A manipulation
Metabolic flux analysis
These methodological approaches will help elucidate the checkpoint-like function of FAM43A in limiting mitochondrial biogenesis under conditions of mtDNA depletion.
As understanding of FAM43A function expands, researchers can use FAM43A antibodies to:
Cancer therapeutic strategies:
Evaluate FAM43A expression changes in response to chemotherapy or targeted therapies
Monitor FAM43A as a potential biomarker of treatment response in triple negative breast cancer
Investigate correlation between FAM43A expression and drug resistance
Mitochondrial disease approaches:
Screening applications:
Develop high-content screening assays using FAM43A antibodies to identify compounds that modulate its expression or localization
Create reporter cell lines to monitor FAM43A dynamics in real-time
The growing understanding of FAM43A's role in mitochondrial biology and cancer provides multiple avenues for therapeutic exploration.
When studying FAM43A across different model systems:
Species considerations:
Model selection:
Developmental studies:
Technical adaptations:
Optimize antibody concentrations for each model system
Validate specificity in each species using appropriate controls
Consider fixation and sample preparation modifications for different tissues