PHF10 (PHD Finger Protein 10) antibodies are specialized tools for detecting and studying the PHF10 protein, a chromatin-remodeling factor involved in transcriptional regulation and cancer progression. PHF10 contains two PHD zinc finger domains that enable interactions with histone H3K4, influencing gene expression through epigenetic modifications . Antibodies targeting PHF10 are critical for investigating its roles in cell differentiation, stemness, and tumorigenesis across cancers such as gastric, colorectal, and pancreatic adenocarcinoma .
Gastric Cancer: PHF10 antibodies reveal elevated PHF10 expression in poorly differentiated tumors, where it suppresses differentiation markers (e.g., ATP4B, Pepsinogen I) and promotes stemness via E2F1-DUSP5-pERK signaling . In GC tissues, PHF10 correlates inversely with differentiation grade and survival .
Colorectal Cancer: Knockdown studies using CRISPR/sgPHF10 vectors show PHF10 depletion enhances proliferation, migration, and EMT in HCT116 cells, suggesting tumor-suppressive roles .
Pancreatic Adenocarcinoma: PHF10 expression is linked to immune infiltration and better prognosis, with elevated levels in high immune-response clusters .
PHF10 antibodies identify its role in neural progenitor chromatin remodeling complexes (npBAF). PHF10 isoforms determine PBAF complex activity, with phosphorylation at serine residues (e.g., Ser327) regulating nuclear localization and transcriptional targeting .
Western Blot: Antibodies like ab154637 detect PHF10 at ~56 kDa in HEK-293 and HeLa lysates, with knockout validation .
Immunohistochemistry: CAB15466 and 66341-1-PBS show nuclear staining in gastric and colon cancer tissues, correlating with differentiation status .
Immunofluorescence: ab154637 labels PHF10 in HeLa nuclei, co-localizing with α-tubulin .
Mechanistic Insights: PHF10 forms a feedback loop with E2F1 to sustain oncogenic activity in gastric cancer . In colorectal cancer, PHF10 knockout activates mTOR signaling, driving EMT and metastasis .
Diagnostic Potential: PHF10 mRNA levels in gastric tumors show moderate diagnostic accuracy (AUC = 0.71), suggesting utility as a biomarker .
STRING: 7955.ENSDARP00000093339
UniGene: Dr.78790
PHF10, also known as BAF45a or XAP135, is a subunit of the neural progenitors-specific chromatin remodeling complex (npBAF) that plays an essential role in the proliferation of neural progenitors. During neural development, a critical switch occurs as neurons exit the cell cycle: npBAF complexes containing ACTL6A/BAF53A and PHF10/BAF45A are exchanged for homologous alternative subunits in neuron-specific complexes (nBAF). This transition is fundamental for proper neural development and differentiation . Research on PHF10 has significant implications for understanding mechanisms underlying conditions such as cancer, neurological disorders, and developmental abnormalities .
When selecting a PHF10 antibody, consider these key factors:
Application compatibility: Verify the antibody has been validated for your specific application (WB, IHC, IF, IP, etc.)
Species reactivity: Ensure the antibody recognizes PHF10 in your experimental model species (human, mouse, rat, etc.)
Clonality: Choose between polyclonal (broader epitope recognition) or monoclonal (higher specificity) based on your experimental needs
Immunogen: Check whether the antibody targets the specific region of PHF10 relevant to your study
| Antibody Type | Common Applications | Species Reactivity | Best For |
|---|---|---|---|
| Rabbit Polyclonal | WB, IHC, ICC/IF | Human, Mouse | General detection, multiple epitopes |
| Mouse Monoclonal | WB, IP, ELISA, Microarray | Human | Specific epitope targeting, consistent results |
For neural development studies, antibodies recognizing the full-length protein are preferable, while for chromatin studies, antibodies targeting PHD finger domains might be more appropriate .
PHF10 functions as a critical component of the npBAF complex, which regulates gene expression through ATP-dependent chromatin remodeling. By altering nucleosome positioning and chromatin accessibility, PHF10 contributes to transcriptional regulation crucial for neural progenitor proliferation. As neural progenitors exit mitosis and differentiate into neurons, PHF10/BAF45A in npBAF complexes is exchanged for homologous alternative DPF1/BAF45B or DPF3/BAF45C subunits in neuron-specific complexes. This transition is essential for proper neural development and establishes the self-renewal/proliferative capacity of multipotent neural stem cells . The PHD fingers in PHF10 likely recognize specific histone modifications, facilitating targeted chromatin remodeling at specific genomic loci.
For optimal Western blot detection of PHF10:
Sample preparation: Prepare whole cell lysates using RIPA buffer supplemented with protease inhibitors
Protein amount: Load 20-50 μg of total protein per lane
Dilution optimization: Start with antibody dilutions of 1:500-1:2000 as recommended by manufacturers
Detection system: Use appropriate secondary antibodies conjugated to HRP or fluorescent tags
Expected band size: PHF10 exhibits a molecular weight of approximately 56 kDa
Optimization steps:
Test multiple antibody concentrations if signal is weak or background is high
Include positive controls (tissues or cell lines known to express PHF10)
For reducing non-specific binding, increase blocking time or adjust detergent concentration in wash buffers
For successful IHC detection of PHF10:
Fixation: Use 4% paraformaldehyde or 10% neutral buffered formalin
Antigen retrieval: Apply heat-induced epitope retrieval using citrate buffer (pH 6.0)
Blocking: Block with 5-10% normal serum from the same species as the secondary antibody
Primary antibody: Apply PHF10 antibody at dilutions between 1:20-1:200
Incubation: Incubate overnight at 4°C for optimal binding
Visualization: Use appropriate detection systems (DAB for brightfield, fluorescent secondaries for IF)
Critical optimization considerations:
Test multiple antigen retrieval methods if initial results are suboptimal
Include tissue sections known to express PHF10 as positive controls
Use sections from PHF10-knockout models as negative controls when available
For each new antibody, the titer must be optimized for your specific application
Based on its biological function, these specimens are most relevant for PHF10 studies:
Neural progenitor cells: Highest relevance as PHF10 is essential for their proliferation
Developing neural tissues: Embryonic and early postnatal brain samples
Stem cell populations: Various multipotent progenitor populations
Cancer cell lines: Particularly those with dysregulated chromatin remodeling
For developmental studies, consider time-course experiments capturing neural progenitor to neuron transition, when the switch from PHF10-containing npBAF to neuron-specific nBAF complexes occurs . This transition is critical for understanding the role of PHF10 in neural development and can be effectively monitored using appropriate antibodies against PHF10 and other BAF complex components.
For effective co-IP of PHF10 and BAF complex components:
Cell preparation: Use neural progenitor cells or relevant cell lines expressing PHF10
Lysis buffer: Employ gentle lysis conditions (150mM NaCl, 20mM Tris pH 7.5, 0.5% NP-40) with protease inhibitors
Pre-clearing: Pre-clear lysate with protein A/G beads to reduce non-specific binding
Antibody selection: Use PCRP-PHF10-2A10 or similar monoclonal antibodies validated for IP
Incubation: Rotate overnight at 4°C with antibody
Washing: Perform 4-5 gentle washes to remove non-specific interactions
Analysis: Detect associated proteins by Western blot using antibodies against other BAF complex components
For detecting dynamic changes in complex composition:
Compare IPs from neural progenitors versus differentiated neurons
Include stringency controls using varying salt concentrations to distinguish strong from weak interactions
Consider crosslinking approaches for capturing transient interactions
When troubleshooting weak or inconsistent PHF10 antibody signals:
Sample preparation issues:
Ensure complete lysis and denaturation for Western blots
Verify protein concentration is sufficient (50-100μg total protein)
Check if proteolytic degradation is occurring by adding fresh protease inhibitors
Antibody-specific factors:
Test alternative antibodies targeting different epitopes
Optimize antibody concentration through titration experiments
Verify storage conditions have not compromised antibody activity
Application-specific optimizations:
For WB: Test different blocking agents (BSA vs. milk) and extend blocking time
For IHC/IF: Evaluate multiple fixatives and antigen retrieval methods
For all applications: Extend primary antibody incubation time or adjust temperature
Expression level factors:
Verify PHF10 expression in your model system through qPCR
Use positive control samples known to express PHF10
Consider concentrating the protein through immunoprecipitation before detection
For successful ChIP-seq with PHF10 antibodies:
Crosslinking optimization: Test different formaldehyde concentrations (0.5-2%) and incubation times
Chromatin fragmentation: Optimize sonication conditions to achieve 200-500bp fragments
Antibody selection: Use antibodies specifically validated for ChIP applications
IP conditions: Incubate chromatin with 3-5μg of PHF10 antibody overnight at 4°C
Washing stringency: Perform high-stringency washes to reduce background
Controls: Include IgG negative controls and input DNA controls
Critical considerations:
Perform antibody validation by Western blot prior to ChIP experiments
Evaluate enrichment of known target regions by qPCR before sequencing
Consider dual crosslinking with DSG (disuccinimidyl glutarate) followed by formaldehyde for improved chromatin-protein complex preservation
For early developmental studies, optimize cell number requirements since material may be limited
When analyzing PHF10 expression changes during neuronal differentiation:
Expected pattern: PHF10 expression should decrease during the transition from neural progenitors to post-mitotic neurons
Timing analysis: Follow the expression kinetics alongside markers of neural progenitors and mature neurons
Localization changes: Track potential changes in subcellular localization using immunofluorescence
Complex composition: Correlate PHF10 decrease with concurrent increase in DPF1/BAF45B or DPF3/BAF45C expression
Interpretation guidelines:
When facing contradictory results between different PHF10 antibodies:
Epitope mapping: Determine which regions of PHF10 are recognized by each antibody
Isoform specificity: Verify whether antibodies detect all PHF10 isoforms or are isoform-specific
Validation approach:
Perform siRNA knockdown or CRISPR knockout of PHF10 to validate specificity
Use recombinant PHF10 protein as a positive control
Test antibodies in parallel on identical samples
Resolution strategies:
For functionally important findings, confirm with at least two independent antibodies
Consider post-translational modifications that might affect epitope recognition
Supplement antibody-based methods with transcript analysis or mass spectrometry
PHF10 research has significant implications for neurological disorders due to its role in neural development:
Neurodevelopmental disorders:
Disruption of the npBAF to nBAF transition might contribute to conditions like autism or intellectual disability
Abnormal PHF10 persistence could impair proper neuronal differentiation and circuit formation
Neurodegenerative diseases:
Chromatin remodeling defects are increasingly linked to neurodegeneration
PHF10's role in regulating gene expression may provide insights into pathological mechanisms
Brain tumors:
As a regulator of neural progenitor proliferation, PHF10 dysregulation could contribute to brain tumor formation
The BAF complex components are frequently mutated in cancers, suggesting PHF10 as a potential research target
Therapeutic implications:
Understanding PHF10 function could identify novel targets for intervention
Modulating chromatin remodeling through PHF10-related pathways might offer therapeutic opportunities
Research examining PHF10 expression in patient samples or disease models should include comprehensive controls and validate findings using multiple methodological approaches .
Single-cell technologies offer powerful approaches for PHF10 research:
scRNA-seq applications:
Track PHF10 expression dynamics across diverse cell populations during development
Correlate PHF10 expression with transcriptome-wide changes during differentiation
Identify cell subpopulations with distinct PHF10 expression patterns
scATAC-seq integration:
Map chromatin accessibility changes associated with PHF10 activity
Correlate PHF10 expression with genome-wide chromatin state changes
Identify regulatory elements potentially targeted by PHF10-containing complexes
Methodological considerations:
Use PHF10 antibodies for cell sorting prior to single-cell analysis
Combine with lineage tracing to track progeny of PHF10-expressing cells
Apply multimodal approaches (protein + RNA) to correlate PHF10 protein levels with transcriptional output
To investigate PHF10 interactions with histone modifications:
Biochemical approaches:
Perform peptide pulldown assays using modified histone peptides
Use recombinant PHF10 in histone modification binding arrays
Conduct domain-specific mutagenesis to identify key residues involved in histone binding
Cell-based methods:
Implement sequential ChIP (re-ChIP) to identify co-occurrence of PHF10 and specific histone marks
Use proximity ligation assays to detect PHF10-histone modification interactions in situ
Apply FRET-based approaches with tagged PHF10 and histone modification-specific antibodies
Analytical strategies:
Correlate ChIP-seq profiles of PHF10 with various histone modifications
Analyze the impact of histone modification inhibitors on PHF10 genomic localization
Examine PHF10 recruitment dynamics following induced changes in histone modification states
For these experiments, use highly specific antibodies against both PHF10 and the histone modifications of interest, with appropriate controls to validate interaction specificity.