FAM107B Antibody is a polyclonal antibody designed to detect the FAM107B protein, a 16 kDa nuclear protein encoded by the FAM107B gene on human chromosome 10p13. It belongs to the FAM107 family, sharing a conserved N-terminal domain (DUF1151) with its paralog FAM107A . The antibody is primarily used in research to study FAM107B’s role in cancer, stress responses, and transcriptional regulation.
FAM107B Antibody is validated for WB detection in mouse pancreas tissue and human samples. Recommended dilutions range from 1:500–1:1000 for WB . For example:
Protocol: Denature proteins, transfer to PVDF membrane, block with 5% milk, incubate with primary antibody (1:500) overnight at 4°C, and detect with HRP-conjugated secondary antibodies .
While ELISA applications are listed for some antibodies (e.g., proteintech 20527-1-AP) , specific protocols are less documented. For ICC/IHC, antigen retrieval may be required to unmask epitopes, though no detailed methods are provided in the sources .
FAM107B is a putative tumor suppressor downregulated in cancers of the stomach, colon, breast, thyroid, and cervix . Forced expression inhibits tumor growth in xenograft models . Its loss correlates with increased tumor size and metastatic potential .
S100A4 Regulation: FAM107B is negatively regulated by S100A4, a metastasis-promoting protein. Inhibition of S100A4 upregulates FAM107B, reducing gastric cancer cell migration and proliferation .
Transcriptional Modulation: FAM107B interacts with transcriptional adaptors (e.g., Tada3α) and may regulate chromatin structure via its coiled-coil domain .
FAM107B is induced by heat shock via heat shock factor 1 (HSF1) binding sites in its promoter . This distinguishes it from other heat-shock proteins (HSPs), which are often oncogenic .
Observed vs. Calculated MW: The higher observed molecular weight (38–40 kDa) may reflect post-translational modifications or dimerization .
Cross-Reactivity: No direct evidence of cross-reactivity with FAM107A is reported, but users should verify specificity for their experimental system .
FAM107B Antibody is a critical tool for studying tumor suppression mechanisms and therapeutic hyperthermia responses. Its role in monitoring S100A4-driven metastasis and validating heat-shock-based therapies remains underexplored . Researchers should prioritize orthogonal validation (e.g., CRISPR knockouts) to confirm specificity .
FAM107B (family with sequence similarity 107, member B) is a protein with significant research interest, particularly in cancer biology. It has a calculated molecular weight of 16 kDa (131 amino acids), though it is often observed at 38-40 kDa in experimental conditions, suggesting post-translational modifications . Research indicates FAM107B expression is decreased in stomach cancer and various other cancer types, with forced expression diminishing proliferation in response to growth factors, suggesting tumor-suppressive properties . The protein's GenBank accession number is BC004872, and its UniProt ID is Q9H098 . Understanding FAM107B is particularly valuable for researchers investigating cancer proliferation mechanisms and potential therapeutic targets.
Selection should be guided by your experimental application and target species. Most commercial FAM107B antibodies show validated reactivity with human and mouse samples . Consider these technical factors:
Application compatibility: Verify the antibody has been validated for your specific application (WB, IP, IF, IHC, ELISA)
Epitope location: Different antibodies target various epitopes - some target regions 113-131 or 253-306 of human FAM107B
Antibody class: Determine whether polyclonal (broader epitope recognition) or monoclonal (higher specificity) better suits your needs
Validation method: Prioritize antibodies validated through multiple methods (siRNA knockdown, independent antibodies, or GFP-tagged verification)
For critical experiments, consider parallel testing of multiple antibodies targeting different protein regions to ensure result consistency.
This significant discrepancy between the calculated 16 kDa molecular weight and the observed 38-40 kDa in experimental conditions warrants methodological consideration:
Post-translational modifications: FAM107B likely undergoes extensive modifications such as phosphorylation, glycosylation, or ubiquitination
Protein dimerization: The higher observed weight could result from stable protein dimers forming under experimental conditions
Experimental factors: SDS-PAGE migration anomalies can occur with hydrophobic or acidic proteins
Splice variants: Alternative splicing may produce larger isoforms than predicted from reference sequences
To investigate this discrepancy, researchers should:
Use phosphatase treatment before Western blotting to identify phosphorylation contributions
Employ reducing versus non-reducing conditions to evaluate multimer formation
Compare migration patterns across different tissue types to identify tissue-specific modifications
Verify identity through mass spectrometry analysis of the observed band
For optimal Western blot detection of FAM107B, the following protocol is recommended based on validated approaches:
Sample preparation:
Antibody dilution and incubation:
Detection specificity:
Controls:
Optimization note:
When designing immunofluorescence experiments with FAM107B antibodies, follow these methodological guidelines:
Cell preparation:
Controls and validation:
Co-localization studies:
Imaging parameters:
Capture multiple fields to account for heterogeneous expression
Use appropriate filter sets to minimize autofluorescence interference
Document exposure settings for reproducibility
For clinical sample analysis of FAM107B, implement these specialized methodological approaches:
Sample preparation:
Validation approach:
Interpretation guidelines:
Document subcellular localization patterns
Quantify expression levels using appropriate scoring systems
Compare expression patterns with established markers of disease progression
Technical considerations:
To investigate the FAM107B-S100A4 relationship in cancer, design experiments based on published findings showing that "FAM107B was downregulated by S100A4" and "FAM107B at least partly mediates the effect of S100A4 on the proliferation and migration of MGC803 cells" :
Expression correlation analysis:
Perform qRT-PCR to quantify both FAM107B and S100A4 expression across cancer cell lines
Analyze publicly available cancer genomics datasets to examine correlation patterns
Regulatory mechanism investigation:
Functional rescue experiments:
Signaling pathway analysis:
Investigate downstream effectors common to both proteins
Use pharmacological inhibitors of candidate pathways to identify critical nodes
Multiple CRISPR/Cas9 tools are available for comprehensive genetic manipulation of FAM107B. Design your genetic studies using these approaches:
Knockout strategies:
Gene activation approaches:
Experimental design considerations:
Phenotypic analysis framework:
Comprehensive validation is essential for confident interpretation of FAM107B antibody results. Implement this multi-tiered validation strategy:
Genetic validation:
Cross-validation with independent antibodies:
Application-specific validation:
Documentation standards:
Record antibody catalog numbers, lot numbers, and dilutions
Document validation method results with appropriate controls
Consider using the antibody validation reporting guidelines from academic journals
Researchers frequently encounter these challenges when working with FAM107B antibodies:
Molecular weight discrepancy:
Tissue-specific detection issues:
Antibody specificity concerns:
Storage and stability issues:
Conflicting expression data:
When interpreting FAM107B expression changes in cancer research, consider these analytical frameworks:
Expression pattern interpretation:
Functional significance assessment:
Regulatory relationship analysis:
Clinicopathological correlation:
Correlate expression patterns with patient outcomes where available
Consider multivariate analysis to determine independent prognostic value
Evaluate expression changes in context of tumor grade, stage, and molecular subtype
Implement these essential controls for rigorous FAM107B research:
Expression analysis controls:
Positive tissue controls: Mouse pancreas tissue shows reliable detection
Positive cell line controls: RT4 cells (urinary bladder cancer) and U-251 MG cells (brain glioma)
Loading controls: Traditional housekeeping proteins for normalization
Negative controls: Secondary antibody-only controls; ideally CRISPR knockout samples
Functional study controls:
For siRNA experiments: Non-targeting siRNA control
For overexpression: Empty vector control
For CRISPR: Non-targeting guide RNA control
Regulatory relationship controls:
Methodology-specific controls:
Research indicates FAM107B functions as a critical downstream effector in cellular signaling:
S100A4 pathway involvement:
Growth factor response:
Research approaches to explore:
Phosphoproteomic analysis to identify FAM107B phosphorylation states under various stimuli
Protein-protein interaction studies to map FAM107B's signaling partners
Transcriptome analysis following FAM107B modulation to identify affected pathways
Methodological considerations:
Use inducible expression systems to control timing of FAM107B expression
Employ domain mutation studies to identify functional regions
Consider subcellular fractionation to determine compartment-specific interactions
To investigate the substantial difference between calculated (16 kDa) and observed (38-40 kDa) molecular weight of FAM107B , apply these specialized techniques:
Post-translational modification analysis:
Phosphatase treatment: Compare migration before and after treatment
Glycosidase digestion: Assess contribution of glycosylation
Mass spectrometry: Identify specific modifications and their locations
Protein structure evaluation:
Native vs. reducing PAGE: Assess impact of disulfide bonding
Crosslinking studies: Determine if stable dimers occur
Analytical ultracentrifugation: Characterize molecular size in solution
Transcriptomic verification:
RNA-seq analysis to detect potential alternative splicing
5' and 3' RACE to identify potentially unannotated exons
Cloning and expression of identified splice variants
Comparative analysis:
Cross-species comparison of migration patterns
Cross-tissue analysis to identify tissue-specific forms
Comparison across developmental stages for temporal variation