The antibody is validated for multiple techniques, with optimized dilutions:
| Application | Dilution Range | Notes |
|---|---|---|
| Immunohistochemistry (IHC) | 1:50–1:500 | Antigen retrieval recommended (TE buffer pH 9.0) |
| Immunofluorescence (IF/ICC) | 1:10–1:100 | Tested in MCF-7 cells |
| Western Blot (WB) | N/A | KD/KO validated |
| ELISA | N/A | Titration required for optimal performance |
Bladder Cancer: FAM107A downregulation correlates with high tumor grade and poor prognosis. Overexpression inhibits cell growth and invasion in UM-UC-3 and J82 cell lines .
Prostate Cancer: Low FAM107A expression is linked to poor survival, with promoter hypermethylation mediated by DNMT1. The antibody aids in studying its role in the FAK/PI3K/AKT pathway .
Glioblastoma: Overexpression is associated with poor clinical outcomes, suggesting dual roles in tumor regulation .
Immune Modulation: High FAM107A expression correlates with mast cell and natural killer cell infiltration in prostate adenocarcinoma (PRAD) .
Signaling Pathways: Regulates tumor progression via Wnt, MAPK, and immune response pathways .
Urinary cell-free DNA analysis of FAM107A/IQGAP3 ratios offers a non-invasive diagnostic marker for bladder cancer .
FAM107A (Family with Sequence Similarity 107 Member A), also known as TU3A or DRR1, encodes a 144 amino-acid protein containing a coiled-coil domain and a nuclear localization signal. The protein functions as a transcription factor that regulates gene expression and signal transduction . FAM107A is a stress-inducible actin-binding protein that plays roles in:
Modulating actin filamentous (F-actin) dynamics
Mediating polymerization of globular actin to F-actin
Binding to, stabilizing, and bundling F-actin
Regulating neurite outgrowth in an actin-dependent manner
Contributing to hippocampus-dependent cognitive functions like learning and memory
FAM107A is widely expressed in normal tissues (with the exception of peripheral blood cells) but shows significant loss of expression in various cancer types, suggesting its potential role as a tumor suppressor gene .
Based on published literature, FAM107A antibodies have been extensively utilized in the following tissues and cancer models:
Most Frequently Studied Organs/Tissues:
Brain (>9 publications)
Lung (>5 publications)
Kidney (>4 publications)
Vascular tissues (>3 publications)
Embryonic tissues, stomach, and testis (>2 publications each)
Most Relevant Disease Models:
Adenocarcinoma (>5 publications)
Lung neoplasms (>4 publications)
Kidney diseases (>4 publications)
Breast neoplasms and nervous system diseases (>3 publications each)
Glioma (>3 publications)
Hepatocellular carcinoma and neoplasm metastasis (>2 publications each)
When designing experiments, researchers should consider these established models, particularly when studying comparative expression patterns or functional roles.
When selecting a FAM107A antibody for research, consider:
Antibody Characteristics:
Host/Isotype: Most commonly rabbit/IgG polyclonal antibodies
Reactivity: Verify reactivity with your species of interest (common reactivities include human and mouse)
Target Region: Some antibodies target specific regions (e.g., middle region or C-terminus)
Conjugation: Most are unconjugated, but verify based on your application needs
Validation: Confirm the antibody has been validated for your specific application
Storage and Handling:
Most FAM107A antibodies are supplied in PBS with 0.02-0.05% sodium azide and 50% glycerol at pH 7.3
Typically stored at -20°C and stable for one year after shipment
FAM107A exhibits a paradoxical dual role in cancer biology, functioning as both a tumor suppressor and oncogene depending on cancer type. Methodological approaches to study these contrasting roles include:
For Tumor Suppressor Function:
Compare FAM107A expression between matched normal and cancer tissues using IHC and Western blotting in renal cell carcinoma, lung cancer, and laryngeal tumors where expression is typically downregulated
Analyze promoter methylation status in conjunction with protein expression to establish silencing mechanisms
Perform rescue experiments by re-expressing FAM107A in cancer cell lines with loss of expression to assess tumor suppressive effects
For Oncogenic Function:
Study FAM107A overexpression in glioblastoma using IHC and correlate with clinical outcomes
Investigate the relationship between FAM107A expression and cancer cell migration/invasion in glioma models using IF to visualize cytoskeletal interactions
Design knockdown experiments in FAM107A-overexpressing cell lines to assess the impact on proliferation and malignant behavior
This dual role highlights the importance of cancer-specific context when studying FAM107A function and the need for comprehensive validation across multiple cancer types.
To investigate methylation-induced silencing of FAM107A, researchers can employ the following methodological approaches:
Methylation Analysis:
Combined Genetic and Epigenetic Analysis:
Demethylation Treatment:
Expression-Methylation Correlation:
These approaches provide comprehensive insights into the epigenetic regulation of FAM107A and its potential as a biomarker or therapeutic target in cancers exhibiting methylation-induced silencing.
The association between FAM107A expression and immune cell infiltration represents an emerging area of research, particularly relevant to cancer immunology. To investigate this relationship:
Single-Sample Gene Set Enrichment Analysis (ssGSEA):
Perform ssGSEA to quantify immune cell infiltration levels in tumor samples
Use Spearman correlation to assess relationships between FAM107A expression and immune cell populations
In prostate adenocarcinoma (PRAD), FAM107A expression positively correlated with natural killer (NK) cells (R=0.637, P<0.001) and mast cells (R=0.661, P<0.001)
Multiplex Immunofluorescence:
Utilize FAM107A antibodies in combination with immune cell markers in multiplex IF
Quantify spatial relationships between FAM107A-expressing cells and immune infiltrates
Flow Cytometry:
Combine FAM107A antibody staining with immune cell surface markers to assess co-expression patterns
Sort cell populations based on FAM107A expression and analyze immune marker profiles
Gene Expression Correlation:
These methodological approaches provide insights into how FAM107A may influence tumor immunogenicity and potential implications for immunotherapy response.
To effectively correlate FAM107A expression with clinical outcomes:
These approaches enable robust assessment of FAM107A's clinical relevance and potential utility as a prognostic biomarker.
Researchers may encounter several technical challenges when working with FAM107A antibodies:
Solution: Optimize antigen retrieval conditions. For IHC applications, FAM107A antibodies often perform best with TE buffer pH 9.0, though citrate buffer pH 6.0 can be used as an alternative
Validate with positive control tissues: Human thyroid cancer tissue for IHC and MCF-7 cells for IF/ICC have shown reliable positive staining
Solution: Adjust antibody concentration through careful titration. Recommended dilutions vary by application (IHC: 1:500-1:2000; IF/ICC: 1:50-1:500)
Extend incubation times or implement signal amplification techniques if necessary
Solution: Increase blocking time and ensure adequate washing steps
Optimize secondary antibody dilution to reduce non-specific binding
Solution: Be aware that small volumes of antibody may occasionally become entrapped in the seal of the product vial during shipment and storage
Centrifuge the vial prior to opening to ensure recovery of the entire volume
The apparently contradictory roles of FAM107A across cancer types requires careful experimental design and interpretation:
Context-Specific Analysis:
Always perform experiments in multiple cell lines or tissue types representing different cancer contexts
Compare FAM107A function in matched normal vs. tumor samples from the same tissue origin
Pathway Integration:
Protein Interaction Studies:
Use co-immunoprecipitation with FAM107A antibodies to identify tissue-specific binding partners
Different protein interactions may explain contrasting functions in different cellular contexts
Functional Validation:
Conduct parallel gain- and loss-of-function studies in multiple cancer models
Employ tissue-specific in vivo models to validate in vitro findings
Epigenetic Regulation:
By employing these methodological approaches, researchers can better understand the nuanced roles of FAM107A across cancer types and potentially develop targeted therapeutic strategies.
Several promising research directions for FAM107A as a cancer biomarker include:
Liquid Biopsy Development:
Investigate FAM107A protein levels in patient blood samples using highly sensitive ELISA
Correlate circulating FAM107A with tissue expression and clinical outcomes
Potential for minimally invasive prognostic or predictive testing
Combined Biomarker Panels:
Response Prediction:
Imaging Biomarkers:
Develop FAM107A antibody-based imaging agents for tumor visualization
Particularly relevant for cancers with divergent expression patterns
These applications expand the utility of FAM107A beyond basic research into translational and clinical applications.
FAM107A's role in cytoskeletal regulation presents unique research opportunities:
Co-localization Studies:
Live Cell Imaging:
Generate FAM107A-GFP fusion constructs and validate localization using antibodies
Track dynamic interactions with cytoskeletal elements during cell migration
Stress Response Studies:
As a stress-inducible protein, examine FAM107A localization and expression under various cellular stressors
Correlate changes with cytoskeletal reorganization
Neurite Outgrowth Assays:
These methodological approaches connect FAM107A's molecular function to cellular phenotypes, bridging basic science with potential therapeutic applications.