The antibody is generated using a synthesized phosphopeptide corresponding to the phosphorylation site of human FANCG at Ser383 (Uniprot ID: O15287). The immunogen includes a peptide sequence with the phosphorylated serine residue flanked by adjacent amino acids to ensure specificity . Host species include rabbit, with IgG isotype, and it is unconjugated to allow flexibility in downstream applications .
Cellular localization: Detects nuclear and cytoplasmic forms of FANCG, with primary nuclear localization under normal conditions .
Buffer: PBS containing 50% glycerol, 0.5% BSA, and 0.02% sodium azide (pH 7.4) .
Purification: Affinity chromatography using epitope-specific phosphopeptide .
FANCG is a core component of the FA core complex, which facilitates DNA interstrand crosslink repair via monoubiquitination of FANCD2 . Phosphorylation at Ser383 is critical for:
DNA damage response: Activation of cell cycle checkpoints and repair pathways .
Protein interactions: Forms complexes with BRCA2, FANCD2, and XRCC3, enhancing repair efficiency .
FANCG mutations are linked to Fanconi anemia and increased cancer susceptibility .
The antibody aids in studying FANCG phosphorylation dynamics in tumor samples, providing insights into DNA repair defects .
Phosphorylation Regulation: CDK1 phosphorylates FANCG at Ser383, suggesting a role in cell cycle-dependent DNA repair .
Subcellular Dynamics: Phosphorylated FANCG localizes to nuclear foci during DNA damage, as visualized by immunofluorescence .
Therapeutic Relevance: Antibody-based detection of phosphorylated FANCG may help identify patients with defective FA pathways for personalized cancer therapy .
FANCG is a DNA repair protein potentially involved in post-replication repair and cell cycle checkpoint functions. It may play a role in interstrand DNA cross-link repair and maintaining chromosomal stability. It is considered a candidate tumor suppressor gene.
The following publications detail various aspects of FANCG function and its role in disease:
FANCG (Fanconi anemia complementation group G) is a DNA repair protein also known as XRCC9 (X-ray repair complementing defective repair in Chinese hamster cells 9). It functions as a critical component of the Fanconi anemia pathway, which is essential for DNA interstrand cross-link repair and the maintenance of normal chromosome stability .
Ser383 phosphorylation of FANCG occurs specifically during mitosis and is functionally important for the proper operation of the Fanconi anemia repair pathway . Research has demonstrated that mutation of Ser383 to alanine abolishes the phosphorylation of FANCG at mitosis and impairs the ability to correct FA-G mutant cells, highlighting the essential nature of this post-translational modification .
The phosphorylation sequence context around Ser383 is "RFsPP" (where "s" represents the phosphorylated serine) , which enables the generation of highly specific antibodies that recognize only the phosphorylated form of the protein.
FANCG shows tissue-specific expression patterns, with high expression observed in:
At the subcellular level, FANCG exhibits a dual localization pattern:
| Localization | Relative Abundance | Notes |
|---|---|---|
| Nuclear | Major form | Associates with chromatin except during mitosis |
| Cytoplasmic | Minor form | Function less well characterized |
This differential localization is relevant to researchers studying FANCG function, as the protein's nuclear localization is associated with its role in DNA repair processes .
Most commercially available Phospho-FANCG (Ser383) antibodies share similar specifications:
| Feature | Specification |
|---|---|
| Host | Rabbit |
| Clonality | Polyclonal |
| Isotype | IgG |
| Reactivity | Human, Mouse, Rat (varies by manufacturer) |
| Applications | Western Blot, ELISA, IHC (varies by product) |
| Immunogen | Synthetic phosphopeptide derived from human FANCG around Ser383 (RFsPP) |
| Molecular Weight | 69 kDa (observed/calculated) |
| Storage | -20°C with glycerol and sodium azide |
| UniProt ID | O15287 (Human), Q9EQR6 (Mouse) |
These antibodies are specifically designed to detect endogenous levels of FANCG protein only when phosphorylated at Ser383, making them valuable tools for studying the phosphorylation state of FANCG in various biological contexts .
Phospho-FANCG (Ser383) antibodies have been validated for several key applications:
Western Blot (WB): The most common application, typically at dilutions of 1:500-1:2000, for detecting phosphorylated FANCG in protein extracts .
Enzyme-Linked Immunosorbent Assay (ELISA): Used at dilutions around 1:40000 for quantitative detection of phosphorylated FANCG .
Immunohistochemistry (IHC): Some antibodies have been validated for IHC applications on paraffin sections, enabling visualization of phosphorylated FANCG in tissue samples .
Immunofluorescence (IF)/Immunocytochemistry (ICC): Some versions are suitable for cellular localization studies at dilutions of 1:50-1:200 .
When selecting an application, researchers should consider the specific validation data provided by the manufacturer for their antibody of interest.
To effectively study FANCG phosphorylation during the cell cycle, particularly during mitosis when Ser383 phosphorylation is most pronounced , researchers should design experiments that:
Synchronize cell populations: Use methods such as double thymidine block, nocodazole treatment, or selective detachment of mitotic cells to obtain enriched populations at specific cell cycle phases.
Generate proper controls: Include:
Asynchronous cell populations
Cells arrested at different cell cycle phases
Phosphatase-treated samples to confirm phospho-specificity
Peptide competition controls using phospho-peptide (RFsPP) and non-phospho-peptide
Validate phosphorylation status: Consider complementary approaches such as:
Monitor cell cycle markers: Include analysis of established cell cycle phase markers (e.g., Cyclin B1 for G2/M) to correlate FANCG phosphorylation with specific cell cycle phases.
Research has shown that cdc2 (CDK1) is likely the kinase responsible for phosphorylating FANCG at Ser383 during mitosis , so researchers might also consider including CDK1 inhibitors or knockdown approaches in their experimental design.
For optimal Western blot results with Phospho-FANCG (Ser383) antibody:
Sample Preparation:
Lyse cells in a buffer containing phosphatase inhibitors (e.g., sodium fluoride, sodium orthovanadate, phosphatase inhibitor cocktail)
Use RIPA or NP-40 based lysis buffers for total protein extraction
Include protease inhibitors to prevent degradation
For enriched nuclear extracts, consider using nuclear/cytoplasmic fractionation protocols
Western Blot Protocol:
Load 20-50 μg of total protein per lane
Use 8-10% SDS-PAGE gels (optimal for 69 kDa proteins)
Transfer to PVDF or nitrocellulose membranes
Block with 5% BSA in TBST (not milk, as it contains phosphatases)
Incubate with Phospho-FANCG (Ser383) antibody at 1:500-1:2000 dilution overnight at 4°C
Wash thoroughly with TBST
Use appropriate HRP-conjugated secondary antibody (anti-rabbit IgG)
Develop using ECL substrate
Validation Controls:
Include a lane with phosphopeptide competition to confirm specificity
Consider including phosphatase-treated lysate as a negative control
Use positive control lysates (e.g., K562 cells or cos-7 cells have been validated)
The typical expected result is a band at approximately 69 kDa representing phosphorylated FANCG protein .
Researchers can leverage Phospho-FANCG (Ser383) antibody to investigate FANCG's role in DNA damage response through several sophisticated approaches:
Phosphorylation Dynamics After DNA Damage:
Treat cells with DNA crosslinking agents (e.g., mitomycin C, cisplatin)
Analyze phosphorylation status over a time course
Correlate with FANCD2 monoubiquitination, a key downstream event
Compare wildtype cells with cells carrying FA pathway mutations
Chromatin Association Analysis:
Perform chromatin fractionation before and after DNA damage
Compare phospho-FANCG vs. total FANCG distribution
Investigate whether Ser383 phosphorylation affects chromatin binding
Protein-Protein Interaction Studies:
Use phospho-specific antibodies in co-immunoprecipitation experiments
Compare interactomes of phosphorylated vs. non-phosphorylated FANCG
Investigate whether Ser383 phosphorylation affects complex formation with other FA proteins
Functional Rescue Experiments:
Complement FANCG-deficient cells with wild-type FANCG or S383A mutant
Assess DNA repair efficiency using comet assays or chromosome breakage analysis
Measure cell survival following exposure to crosslinking agents
Research has already established that FANCG phosphorylation at Ser383 is functionally important, as S383A mutation impairs the ability to correct FA-G mutant cells , suggesting its critical role in the DNA damage response pathway.
FANCG undergoes phosphorylation at both Ser383 and Ser387 during mitosis, with both modifications playing important functional roles . The relationship between these phosphorylation events presents an interesting area for advanced research:
Sequential Phosphorylation: Research suggests that these sites may be phosphorylated in a specific order, potentially creating a phosphorylation cascade. This hypothesis can be tested using phospho-specific antibodies to both sites in time-course experiments.
Kinase Specificity: While cdc2 (CDK1) appears to be responsible for phosphorylating both sites, the S387A mutation abolished FANCG fusion protein phosphorylation by cdc2 more completely than S383A mutation, suggesting potential differences in kinase efficiency or preference .
Functional Redundancy vs. Specificity: Both sites are functionally important, but they may serve distinct roles:
Both S383A and S387A mutations impaired correction of FA-G mutant cells
Researchers can use site-specific antibodies to determine if these phosphorylation events occur independently or coordinately
Double mutants (S383A/S387A) could be compared to single mutants to assess synergistic effects
Structural Implications: The proximity of these phosphorylation sites (S383 and S387) suggests they might cooperatively influence the protein's conformation or interaction capabilities.
Advanced studies could employ phosphomimetic mutations (S→D or S→E) at one site while preventing phosphorylation at the other (S→A) to dissect their individual contributions to FANCG function.
Researchers may encounter several challenges when working with Phospho-FANCG (Ser383) antibody:
| Challenge | Possible Causes | Solutions |
|---|---|---|
| Weak or absent signal | - Low phosphorylation levels - Phosphatase activity - Suboptimal antibody concentration | - Enrich for mitotic cells - Include phosphatase inhibitors - Optimize antibody dilution - Increase protein loading |
| High background | - Insufficient blocking - Excessive antibody - Inadequate washing | - Extend blocking time - Dilute antibody further - Increase wash duration/frequency - Use BSA instead of milk for blocking |
| Non-specific bands | - Cross-reactivity - Protein degradation | - Verify with phosphopeptide competition - Include protease inhibitors - Optimize sample preparation |
| Variability between experiments | - Cell cycle variation - Inconsistent lysis conditions | - Synchronize cells - Standardize lysis protocol - Include positive controls |
For definitive validation of signal specificity, researchers should:
Perform peptide competition assays using the phosphopeptide (RFsPP)
Include phosphatase-treated lysates as negative controls
Consider using FANCG knockout or knockdown samples as specificity controls
As demonstrated in published Western blots, authentic phospho-FANCG (Ser383) signal should disappear when competed with the specific phosphopeptide but remain when competed with non-phosphopeptide .
Distinguishing biological variations from technical artifacts requires robust experimental design and appropriate controls:
Biological Replicates vs. Technical Replicates:
Perform both biological replicates (independent cell cultures) and technical replicates (multiple analyses of the same sample)
Consistent patterns across biological replicates suggest true biological variation
Internal Controls:
Monitor total FANCG levels alongside phospho-FANCG
Calculate phospho-FANCG/total FANCG ratios to normalize for expression differences
Include housekeeping proteins (e.g., GAPDH, β-actin) for loading control
Cell Cycle Considerations:
Since FANCG Ser383 phosphorylation is cell cycle-dependent (primarily in mitosis), differences in cell cycle distribution can cause apparent variation
Include cell cycle markers (e.g., phospho-histone H3) to correlate with phospho-FANCG levels
For heterogeneous samples, consider flow cytometry with phospho-FANCG staining to correlate with cell cycle phases
Cross-Validation Approaches:
Use alternative methods to confirm phosphorylation patterns (e.g., mass spectrometry)
Employ Phos-tag gels to separate phosphorylated from non-phosphorylated forms
Use functional assays that depend on phosphorylation status
Dose-Response and Time-Course Experiments:
True biological variations often follow predictable patterns in response to stimuli
Random variations across similar samples suggest technical issues
By implementing these strategies, researchers can confidently attribute observed variations in FANCG phosphorylation to biological phenomena rather than experimental artifacts.
The functional interplay between Ser383 phosphorylation and other post-translational modifications (PTMs) on FANCG represents an important frontier in understanding this protein's regulation:
Phosphorylation Network:
Cross-Talk with Other PTM Types:
While phosphorylation has been well-studied, FANCG may undergo other modifications (ubiquitination, SUMOylation, acetylation)
These could be studied using appropriate antibodies and mass spectrometry approaches
Of particular interest would be whether Ser383 phosphorylation affects ubiquitination of FANCG or other FA pathway components
Structural Consequences:
Phosphorylation can induce conformational changes that expose or mask domains
Structural studies comparing phosphorylated and non-phosphorylated FANCG could reveal how Ser383 phosphorylation affects protein architecture
Techniques like hydrogen-deuterium exchange mass spectrometry could identify regions with altered solvent accessibility
Temporal Dynamics:
The timing of different modifications during cell cycle progression or DNA damage response could reveal regulatory mechanisms
Single-cell analysis techniques could provide insights into cell-to-cell variation in modification patterns
Understanding these interactions would provide deeper insights into FANCG regulation and potentially reveal new therapeutic targets for Fanconi anemia and related disorders.
Emerging technologies provide exciting opportunities for studying FANCG phosphorylation dynamics with unprecedented spatial and temporal resolution:
Genetically Encoded Biosensors:
Development of FRET-based biosensors that change conformation upon FANCG phosphorylation
These could enable real-time visualization of phosphorylation events in living cells
Potential designs could incorporate phospho-binding domains that recognize the RFsPP motif
Phospho-Specific Nanobodies:
Engineering of small antibody fragments (nanobodies) specific to phospho-Ser383 FANCG
These could be expressed intracellularly as fusion proteins with fluorescent tags
Advantages include ability to track endogenous protein without overexpression artifacts
Optogenetic Approaches:
Light-controllable kinases or phosphatases to manipulate FANCG phosphorylation with spatial and temporal precision
Could help determine the immediate consequences of phosphorylation/dephosphorylation events
Super-Resolution Microscopy:
Techniques like STORM, PALM, or Expansion Microscopy combined with phospho-specific antibodies
Would allow visualization of phospho-FANCG localization at nanoscale resolution
Could reveal previously undetectable spatial organization patterns
Microfluidics and Single-Cell Analysis:
Microfluidic platforms for precise delivery of DNA-damaging agents while imaging
Single-cell proteomics to quantify phospho-FANCG levels in individual cells
Could reveal cell-to-cell heterogeneity in response to damage
These methodologies represent the cutting edge of phosphorylation research and would provide valuable insights into the dynamic regulation of FANCG function in living systems.