FUBP1 antibodies are designed to target specific regions of the FUBP1 protein, which binds to single-stranded DNA and regulates genes like c-Myc. These antibodies are categorized by their host species, clonality, and epitope specificity:
FUBP1 antibodies are utilized in a variety of experimental techniques to study protein expression, localization, and function:
Detection of FUBP1 in cancer cells: FUBP1 expression is upregulated in pancreatic adenocarcinoma (PAAD) and correlates with poor survival outcomes. Antibodies like CAB5587 (1:500–1:2000 dilution) and 24864-1-AP (1:500–1:2000) detect FUBP1 in PAAD cell lines (PaTu8988, SW1990) and confirm its role in epithelial-mesenchymal transition (EMT) via TGFβ/Smad signaling .
Observed molecular weight: 68–79 kDa, depending on post-translational modifications .
Tissue-specific staining: The EPR12327 antibody (ab181111) stains breast carcinoma tissue, while CAB5587 detects FUBP1 in human tonsil sections .
Localization: FUBP1 is predominantly nuclear, as shown in HeLa cells using IF/ICC with 24864-1-AP .
Protein interaction studies: 24864-1-AP has been used to pull down FUBP1 complexes in SH-SY5Y cells, aiding in the identification of binding partners like RNA splicing factors .
Gene regulation analysis: The 24864-1-AP antibody is validated for ChIP to study FUBP1 binding to promoters (e.g., c-Myc) .
Pancreatic Adenocarcinoma (PAAD): FUBP1 knockdown reduces cell migration, invasion, and EMT markers (N-cadherin, β-catenin), while overexpression promotes these phenotypes. Antibodies confirm FUBP1’s role in TGFβ/Smad signaling .
Tongue Squamous Cell Carcinoma (TSCC): High FUBP1 expression correlates with advanced stages, lymph node metastasis, and poor survival. Silencing FUBP1 induces G1 arrest and apoptosis in TSCC cells .
Endometrial Cancer (EC): FUBP1 interacts with lncRNA NORAD to inhibit apoptosis, as shown via RIP assays using FUBP1 antibodies .
Leukemia models: FUBP1 knockdown in BCR-ABL1+ chronic myeloid leukemia (CML) and MLL-AF9+ acute myeloid leukemia (AML) reduces cell proliferation and increases apoptosis. Pharmacological inhibition of FUBP1 (e.g., irinotecan) prolongs survival in AML models .
Osteosarcoma: FUBP1 promotes lobaplatin resistance by activating PTGES and arachidonic acid metabolism. Antibody-based studies confirm FUBP1’s role in splicing regulation .
The table below summarizes key characteristics and performance metrics of commercially available FUBP1 antibodies:
Antibody ID | Host | Epitope | Observed MW | Dilution (WB) | Applications |
---|---|---|---|---|---|
CAB5587 | Rabbit | Full-length | 68–79 kDa | 1:500–1:2000 | WB, IHC-P, IF/ICC, IP |
24864-1-AP | Rabbit | Full-length | 69 kDa | 1:500–1:2000 | WB, IP, IF, ChIP, ELISA |
ABIN5539722 | Goat | AA 160–174 | 75 kDa | 0.03–0.1 µg/mL | WB, ELISA, IHC |
ABIN563862 | Mouse | AA 27–136 | Not specified | Not reported | WB, ELISA, IF, IHC (p) |
EPR12327 (ab181111) | Rabbit | Full-length | 74 kDa | 1:5000–1:20000 | WB, ICC, Flow Cyt, IHC-P |
FUBP1 is a DNA-binding protein that participates in diverse tumor-promoting behaviors by regulating the expression of oncogenes in the nucleus. It functions as a DNA helicase V, binding to the distal far upstream element (FUSE) and forming stable complexes with single-stranded DNA. This protein has been identified as prooncogenic in multiple cancer types, including hepatocellular carcinoma, neuroblastoma, myeloid leukemia, endometrial cancer, and cervical cancer. The significance of FUBP1 in cancer research stems from its ability to regulate critical oncogenes such as MYC, thereby influencing tumorigenesis and cancer progression. Recent research has also revealed its role in tumor immune evasion through regulation of immune checkpoint proteins like NRP1 . Understanding FUBP1's function provides potential therapeutic targets for restricting tumor progression.
The canonical human FUBP1 protein consists of 644 amino acid residues with a molecular mass of approximately 67.6 kDa. It has primarily nuclear subcellular localization, which is essential for its function in transcriptional regulation. Up to two different isoforms have been reported for this protein, and it is widely expressed across many tissue types. FUBP1 regulates MYC expression by binding to a single-stranded far-upstream element (FUSE) upstream of the MYC promoter. Gene orthologs have been identified in multiple species including mouse, rat, bovine, frog, zebrafish, chimpanzee, and chicken, making it a conserved protein of interest in comparative biology . The nuclear translocation of FUBP1 is mediated through interaction with Transportin-1 (TNPO1), which is critical for its function in regulating gene expression .
FUBP1 antibodies are utilized across multiple immunodetection techniques in molecular and cellular biology research. The most widely used application is Western Blot for protein detection and quantification. Other common applications include:
Enzyme-Linked Immunosorbent Assay (ELISA)
Immunocytochemistry (ICC)
Immunofluorescence (IF)
Immunohistochemistry (IHC) for both frozen (IHC-fr) and paraffin-embedded (IHC-p) sections
Immunoprecipitation (IP)
Flow Cytometry (FCM)
These techniques allow researchers to study FUBP1 expression, localization, interactions, and functions in various experimental contexts, from cell culture systems to tissue samples from different species.
When selecting a FUBP1 antibody, researchers should consider several key factors to ensure experimental success:
Antibody Type Selection Criteria:
Antibody Type | Best Used For | Considerations |
---|---|---|
Monoclonal | High specificity applications, reproducible results | May recognize limited epitopes |
Polyclonal | Multiple epitope recognition, stronger signal | Batch-to-batch variation |
Recombinant | Consistent performance, reduced variability | Often available as monoclonal format |
Additional Selection Factors:
Species Reactivity: Ensure the antibody recognizes FUBP1 in your species of interest (human, mouse, rat, etc.)
Application Validation: Verify the antibody has been validated for your specific application (WB, IHC, IF, etc.)
Epitope Information: Consider the region of FUBP1 that the antibody recognizes, especially if studying specific domains or isoforms
Citation Record: Check if the antibody has been successfully used in published research similar to your experiments
Validation Data: Review images of previous results to assess specificity and background levels
For studying nuclear localization or protein interactions, antibodies validated for immunofluorescence or immunoprecipitation would be most appropriate.
Validating antibody specificity is crucial for ensuring reliable experimental results. For FUBP1 antibodies, a comprehensive validation approach should include:
Positive and Negative Controls:
Use cell lines or tissues with known FUBP1 expression levels
Include FUBP1 knockout or knockdown samples as negative controls
For human samples, HeLa or HEK293 cells often express detectable levels of FUBP1
Multiple Antibody Approach:
Compare results using different antibodies targeting distinct FUBP1 epitopes
Consistent detection pattern across different antibodies increases confidence in specificity
Molecular Weight Verification:
Confirm the detected band appears at the expected molecular weight (67.6 kDa for canonical FUBP1)
Be aware of potential post-translational modifications that might alter migration patterns
Peptide Competition Assay:
Pre-incubate the antibody with a blocking peptide corresponding to the immunogen
Specific signal should be reduced or eliminated in the presence of the blocking peptide
Genetic Validation:
This multi-faceted approach provides robust evidence for antibody specificity and helps avoid misleading experimental results from non-specific antibody binding.
Since FUBP1's function depends on its nuclear localization, studying this aspect requires careful methodological considerations:
Subcellular Fractionation Protocol Optimization:
Use gentle lysis conditions to preserve nuclear integrity
Perform sequential extraction of cytoplasmic and nuclear fractions
Verify fraction purity using compartment-specific markers (e.g., GAPDH for cytoplasm, Lamin B for nuclear envelope)
Imaging Considerations for Immunofluorescence:
Fixation method affects nuclear antigen accessibility (4% paraformaldehyde is often suitable)
Permeabilization must be sufficient to allow antibody nuclear entry (0.1-0.5% Triton X-100)
Include DAPI or Hoechst staining to clearly delineate nuclear boundaries
Use confocal microscopy for precise localization within nuclear subcompartments
TNPO1-Mediated Transport Analysis:
Co-immunoprecipitation experiments to detect FUBP1-TNPO1 interaction
TNPO1 knockdown to assess effects on FUBP1 nuclear accumulation
Identification of nuclear localization signals within FUBP1 sequence
Dynamic Studies of Nuclear Import:
Fluorescence recovery after photobleaching (FRAP) to measure import kinetics
Live-cell imaging with fluorescently tagged FUBP1 to monitor transport in real-time
Drug treatments that disrupt nuclear transport pathways to assess mechanism specificity
Quantification Approaches:
Understanding nuclear import mechanisms is particularly relevant since research has demonstrated that FUBP1 translocation into the nucleus is mediated by interaction with Transportin-1 (TNPO1), which directly impacts its ability to regulate gene expression of targets like NRP1.
Optimizing FUBP1 detection across different experimental systems requires adjustments based on the specific application and sample type:
For Western Blot Detection:
Extraction Buffer Optimization:
Include protease inhibitors to prevent degradation
For nuclear proteins like FUBP1, use buffers containing DNase to release DNA-bound proteins
Consider including phosphatase inhibitors if studying phosphorylated forms
Sample Preparation:
Heating temperature and duration affect detection (95°C for 5 minutes is often standard)
Loading quantity needs optimization (typically 20-40 μg total protein)
Reducing agent concentration may require adjustment
Antibody Dilution Range:
Primary antibody: Typically 1:500-1:2000 for FUBP1 antibodies
Secondary antibody: Usually 1:5000-1:10000
Extended incubation at 4°C may improve signal-to-noise ratio
For Immunohistochemistry/Immunofluorescence:
Fixation Protocol:
Paraformaldehyde (4%) for cultured cells
Formalin-fixed paraffin-embedded tissues require antigen retrieval
Heat-induced epitope retrieval using citrate buffer (pH 6.0) or EDTA buffer (pH 9.0)
Permeabilization:
0.1-0.5% Triton X-100 for adequate nuclear penetration
Methanol fixation may provide sufficient permeabilization for some antibodies
Blocking Optimization:
5-10% normal serum from the species of secondary antibody
Addition of 0.1-0.3% Tween-20 can reduce background
Signal Amplification:
Different cell types may require specific adjustments, particularly when comparing cancer cell lines with varying FUBP1 expression levels or when studying FUBP1 in non-human model organisms.
Studying the interaction between FUBP1 and its DNA targets, such as the far upstream element (FUSE) of the MYC promoter, requires specialized techniques:
Chromatin Immunoprecipitation (ChIP):
Crosslink cells with formaldehyde to preserve protein-DNA interactions
Sonicate chromatin to appropriate fragment size (200-500 bp)
Immunoprecipitate with FUBP1 antibodies validated for ChIP applications
Analyze enriched DNA sequences by qPCR or sequencing
Include appropriate controls (IgG, input DNA)
Electrophoretic Mobility Shift Assay (EMSA):
Design labeled DNA probes containing putative FUBP1 binding sites
Incubate with nuclear extracts or recombinant FUBP1
Include antibody supershifts to confirm FUBP1 specificity
Compete with unlabeled probes to demonstrate sequence specificity
DNA-Protein Interaction ELISA:
Immobilize specific DNA sequences on plates
Incubate with FUBP1-containing lysates or purified protein
Detect bound FUBP1 with specific antibodies
Quantify binding affinity through titration experiments
Microscale Thermophoresis (MST) or Surface Plasmon Resonance (SPR):
Determine binding kinetics and affinity constants
Compare binding parameters across different DNA sequences
Assess the impact of mutations in binding sites
In vivo Confirmation:
These approaches provide complementary information about the specificity, affinity, and functional consequences of FUBP1-DNA interactions, which are essential for understanding its role in transcriptional regulation.
Recent research has revealed FUBP1's contribution to tumor immune evasion through regulation of immune checkpoint proteins like NRP1. To investigate this function, researchers should consider:
Expression Correlation Studies:
Analyze FUBP1 and immune checkpoint gene expression in tumor samples
Perform immunohistochemistry on serial sections to assess spatial relationships
Quantify correlation between FUBP1 levels and immune cell infiltration patterns
Mechanistic Investigations:
Conduct ChIP experiments to determine if FUBP1 directly binds to promoters of immune genes
Perform FUBP1 knockdown/overexpression followed by expression analysis of immune checkpoint genes
Use reporter assays to assess FUBP1's effect on promoter activity of immune-related genes
Functional Immune Assays:
Co-culture experiments with tumor cells (±FUBP1 manipulation) and immune cells
Measure T-cell activation markers, proliferation, and cytokine production
Assess natural killer cell cytotoxicity against FUBP1-modified tumor cells
In vivo Models:
Compare tumor growth and immune infiltration in immunocompetent versus immunodeficient mice
Utilize FUBP1 conditional knockout models to assess tumor-specific effects
Combine FUBP1 targeting with immune checkpoint blockade to test synergistic effects
Translational Relevance:
This multifaceted approach would provide comprehensive insights into how FUBP1 contributes to immune evasion mechanisms in cancer, potentially revealing new therapeutic targets or strategies.
Researchers working with FUBP1 antibodies may encounter several technical challenges. Here are common issues and their solutions:
Issue | Possible Causes | Troubleshooting Approaches |
---|---|---|
No signal in Western blot | Insufficient protein, degradation, inappropriate extraction | Increase protein loading, add protease inhibitors, optimize nuclear extraction protocol |
Multiple bands | Isoforms, degradation products, non-specific binding | Use positive controls, optimize antibody dilution, include protease inhibitors |
High background in IF/IHC | Inadequate blocking, antibody concentration too high | Increase blocking time, titrate antibody, include 0.1% Tween-20 in wash buffers |
Poor nuclear staining | Insufficient permeabilization, epitope masking | Increase Triton X-100 concentration, optimize antigen retrieval conditions |
Inconsistent IP results | Weak antibody-antigen interaction, insufficient crosslinking | Try different antibody clones, optimize crosslinking conditions, use gentler wash buffers |
For Western blot applications specifically, researchers should note that FUBP1 detection is optimal when:
Using RIPA buffer supplemented with DNase for extraction
Loading 25-40 μg of nuclear extract protein
Transferring at lower voltage for extended time due to FUBP1's size
Blocking membranes with 5% non-fat milk in TBST
These optimizations can significantly improve the quality and reproducibility of FUBP1 detection across different experimental systems.
FUBP1 has been reported to have up to two different isoforms, requiring careful experimental design to distinguish and study them:
Isoform-Specific Detection Strategies:
Select antibodies recognizing epitopes unique to specific isoforms when possible
Use RT-PCR with isoform-specific primers to correlate protein with mRNA expression
Employ high-resolution SDS-PAGE (8-10% gels) to separate closely sized isoforms
Expression Vector Construction:
Create expression constructs for individual isoforms with distinguishable tags
Use isoform-specific siRNAs targeting unique exons or junctions
Employ CRISPR-Cas9 to specifically modify isoform-specific exons
Functional Comparison Approaches:
Rescue experiments with individual isoforms in FUBP1-depleted backgrounds
Domain deletion analysis to determine functional elements specific to each isoform
Subcellular localization studies to identify potential differences in distribution
Interaction Profiling:
Immunoprecipitation followed by mass spectrometry to identify isoform-specific binding partners
Yeast two-hybrid screening with individual isoforms as bait
Proximity labeling approaches (BioID, APEX) with isoform-specific constructs
Clinical Relevance Assessment:
This systematic approach allows researchers to delineate the potentially distinct functions of FUBP1 isoforms in normal biology and disease states.
When manipulating FUBP1 expression levels, appropriate controls are crucial for reliable interpretation of results:
For Knockdown Experiments:
Non-targeting control siRNA/shRNA:
Must match the chemical modifications of the FUBP1-targeting constructs
Should be validated to have minimal off-target effects
Ideally multiple independent FUBP1-targeting sequences should be tested
Knockdown Validation:
Confirm reduction at both mRNA level (qRT-PCR) and protein level (Western blot)
Quantify knockdown efficiency (typically aim for >70% reduction)
Assess stability of knockdown over the experimental time course
Rescue Controls:
Express siRNA/shRNA-resistant FUBP1 construct to confirm phenotype specificity
Include both wild-type and mutant (non-functional) rescue constructs
Monitor rescue construct expression levels to avoid overexpression artifacts
For Overexpression Experiments:
Empty vector controls:
Must match the backbone of the FUBP1 expression vector
Should undergo identical selection procedures as the FUBP1-expressing cells
Control for non-specific effects of transfection and selection
Expression Validation:
Confirm increased expression by Western blot and qRT-PCR
Use tagged constructs (if appropriate) to distinguish endogenous from exogenous protein
Verify correct subcellular localization of overexpressed protein
Dose-Dependency Controls:
Test multiple expression levels to establish dose-response relationships
Include physiologically relevant expression levels
Monitor potential toxicity from very high overexpression
Functional Controls:
These controls ensure that observed phenotypes can be confidently attributed to specific alterations in FUBP1 expression rather than to experimental artifacts.
FUBP1 has shown potential as a cancer biomarker, particularly in cervical cancer where upregulated expression correlates with poor prognosis. Researchers can leverage FUBP1 antibodies for biomarker development through:
Tissue Microarray Analysis:
Construct tissue microarrays with tumor samples and matched normal tissues
Perform immunohistochemistry with validated FUBP1 antibodies
Develop standardized scoring systems for FUBP1 expression levels
Correlate expression patterns with clinical parameters and outcomes
Multiplexed Biomarker Panels:
Combine FUBP1 detection with other cancer markers in multiplexed immunofluorescence
Analyze co-expression patterns at single-cell resolution
Identify tumor subtypes based on FUBP1 and companion biomarker expression
Liquid Biopsy Applications:
Detect FUBP1 in circulating tumor cells using immunocytochemistry
Assess FUBP1 in extracellular vesicles isolated from patient plasma
Correlate with tumor burden and treatment response
Predictive Biomarker Development:
Evaluate FUBP1 expression in pre-treatment biopsies
Correlate expression levels with response to specific therapies
Develop cutoff values for potential clinical implementation
Methodological Standardization:
The upregulation of FUBP1 mRNA and protein expressions in cervical cancer and their association with poor prognosis suggest that FUBP1 detection could serve as a valuable prognostic biomarker, potentially guiding treatment decisions and patient stratification.
The nuclear localization of FUBP1 is critical for its function, and research has demonstrated that this process is mediated by interaction with Transportin-1 (TNPO1). To further investigate this mechanism:
Interaction Domain Mapping:
Generate truncated FUBP1 constructs to identify TNPO1-binding regions
Use site-directed mutagenesis to pinpoint critical residues
Perform in vitro binding assays with purified components
Create fusion proteins with predicted nuclear localization signals
Live-Cell Imaging Approaches:
Develop fluorescently tagged FUBP1 and TNPO1 for co-localization studies
Perform fluorescence resonance energy transfer (FRET) to confirm direct interaction
Use photoactivatable or photoconvertible tags to track nuclear import kinetics
Employ single-molecule tracking to analyze transport dynamics
Perturbation Experiments:
Utilize TNPO1 inhibitors or competitive peptides to disrupt interaction
Perform siRNA-mediated knockdown of TNPO1 to assess effects on FUBP1 localization
Manipulate Ran-GTP gradient to disrupt nuclear transport machinery
Create TNPO1-binding-deficient FUBP1 mutants
Structural Biology Approaches:
Perform X-ray crystallography or cryo-EM of FUBP1-TNPO1 complexes
Use hydrogen-deuterium exchange mass spectrometry to map interaction interfaces
Conduct molecular dynamics simulations to understand binding energetics
Functional Consequence Analysis:
Understanding this nuclear import mechanism could reveal potential therapeutic strategies, as blocking FUBP1 nuclear import might suppress its oncogenic functions by preventing regulation of target genes like NRP1.
The discovery that FUBP1 contributes to tumor immune evasion by increasing NRP1 expression opens new avenues for cancer immunology research. To effectively study this aspect:
Multiplex Immunohistochemistry/Immunofluorescence:
Simultaneously detect FUBP1, NRP1, and immune cell markers in tumor sections
Quantify spatial relationships between FUBP1-expressing tumor cells and immune infiltrates
Analyze expression patterns at tumor invasive margins versus tumor core
Single-Cell Analysis:
Perform single-cell RNA sequencing of tumor samples with varying FUBP1 expression
Analyze FUBP1 and immune-related gene correlations at single-cell resolution
Map cell-type specific expression patterns in the tumor microenvironment
3D Co-Culture Systems:
Develop spheroid or organoid models with FUBP1-manipulated tumor cells
Co-culture with immune cells to assess infiltration and activation
Use live-cell imaging to track immune cell-tumor cell interactions
In vivo Immune Monitoring:
Generate FUBP1-modulated syngeneic tumor models in immunocompetent mice
Perform flow cytometry of tumor-infiltrating lymphocytes
Assess tumor growth under various immunotherapy regimens
Monitor circulation cytokine profiles
Mechanistic Dissection:
This comprehensive approach would provide insights into how FUBP1 shapes the immune landscape within tumors, potentially identifying new immunotherapeutic strategies targeting the FUBP1-NRP1 axis.
When faced with discrepancies in FUBP1 detection, systematic analysis is required:
Epitope-Based Interpretation:
Compare the epitope locations of different antibodies
Epitopes in regions subject to post-translational modifications may show variable detection
Antibodies recognizing different isoforms will produce different patterns
Structural epitopes may be disrupted in certain applications (especially after denaturation)
Technical Variables Analysis:
Each technique (WB, IHC, IF) has different sample preparation requirements
Fixation methods significantly impact epitope accessibility
Extraction protocols affect protein solubility and recovery
Cross-reactivity profiles vary between antibody clones
Biological Variation Assessment:
FUBP1 expression varies between cell types and tissues
Nuclear/cytoplasmic distribution may change under different conditions
Post-translational modifications alter migration patterns and epitope recognition
FUBP1 may associate with different protein complexes affecting detection
Resolution Strategies:
Use multiple antibodies targeting different epitopes
Employ complementary techniques (e.g., mass spectrometry) for validation
Include genetic approaches (knockout/knockdown) as definitive controls
Validate with recombinant FUBP1 protein standards
Integrated Interpretation Framework:
This systematic approach allows researchers to resolve apparent contradictions and develop a more complete understanding of FUBP1 biology.
When analyzing FUBP1 expression patterns across cancer types, researchers should consider:
Baseline Expression Variations:
Normal tissue expression varies by organ and cell type
Establish appropriate normal controls for each cancer type
Consider developmental and differentiation-dependent expression patterns
Cancer-Specific Genomic Alterations:
FUBP1 mutations may occur in certain cancers (especially oligodendrogliomas)
Copy number variations affect expression levels
Promoter methylation status influences transcription
Technical Considerations:
Standardize quantification methods across different sample types
Account for tumor purity in bulk tissue analysis
Use tissue microarrays for consistent processing conditions
Implement digital pathology for objective quantification
Contextual Analysis:
Correlate with molecular subtypes of each cancer
Analyze alongside known FUBP1 target genes (e.g., MYC)
Consider microenvironmental factors that may influence expression
Assess relationship with immune infiltration patterns
Clinical Correlation Framework:
The prooncogenic function of FUBP1 has been demonstrated across multiple cancer types, but its specific mechanisms and expression patterns may vary significantly. In cervical cancer, for example, FUBP1 contributes to immune evasion through NRP1 regulation, which may not be the primary mechanism in other cancer types.
The evolving understanding of FUBP1's role in cancer biology suggests several promising future applications for FUBP1 antibodies:
Therapeutic Antibody Development:
Function-blocking antibodies targeting FUBP1-DNA interactions
Antibody-drug conjugates for targeted delivery to FUBP1-overexpressing tumors
Intrabodies designed to interfere with FUBP1 nuclear localization
Bi-specific antibodies linking FUBP1-expressing tumor cells to immune effectors
Companion Diagnostics:
Standardized immunohistochemistry protocols for patient stratification
Multiplex panels combining FUBP1 with other biomarkers
Integration into predictive models for immunotherapy response
Development of circulating tumor cell detection methods
Early Detection Strategies:
Evaluation in pre-malignant lesions to identify progression markers
Inclusion in multi-marker screening panels for high-risk populations
Application to liquid biopsy platforms
Tumor Immune Microenvironment Mapping:
Spatial analysis of FUBP1 expression relative to immune cell infiltration
Correlation with immune checkpoint expression patterns
Potential predictive value for immunotherapy response
Drug Development Applications:
These applications could transform FUBP1 from a research target into a clinically relevant biomarker and therapeutic target, particularly in cancers where it plays a significant role in progression and immune evasion.
Single-cell analysis techniques offer unprecedented resolution to study FUBP1 biology:
Heterogeneity Characterization:
Identify subpopulations with varying FUBP1 expression within tumors
Correlate FUBP1 levels with stemness markers and differentiation states
Map expression patterns relative to spatial location in the tumor microenvironment
Multi-omics Integration:
Combine single-cell transcriptomics with protein detection (CITE-seq)
Correlate FUBP1 protein levels with target gene expression
Integrate with chromatin accessibility data (scATAC-seq)
Link to post-translational modification states
Dynamic Process Analysis:
Track FUBP1 expression changes during cell cycle progression
Monitor alterations in response to treatment at single-cell resolution
Analyze expression dynamics during differentiation or EMT processes
Cell-Cell Interaction Mapping:
Define how FUBP1-expressing cells interact with immune populations
Identify paracrine signaling networks involving FUBP1-high cells
Map receptor-ligand interactions between tumor and stromal components
Computational Trajectory Analysis:
These approaches would reveal how FUBP1 functions in heterogeneous cell populations and complex tissue environments, providing insights impossible to obtain through bulk analysis methods.
The Far Upstream Element Binding Protein 1 (FUBP1), also known as human DNA helicase V (HDH V), is a multifunctional protein that plays a crucial role in the regulation of gene expression. It was first identified as a DNA-binding protein that regulates the transcription of the proto-oncogene c-Myc by binding to the far upstream element (FUSE) in the promoter region .
FUBP1 was discovered in 1994 when researchers identified its specific binding to the FUSE sequence, located approximately 1.5 kilobases upstream of the transcription start site of the c-Myc gene . The c-Myc gene is a critical regulator of cell proliferation, differentiation, and apoptosis, and its expression is tightly controlled by various transcription factors, including FUBP1 .
FUBP1 functions as a single-stranded DNA-binding protein that regulates the expression of target genes by binding to the FUSE in their upstream noncoding sequences . It collaborates with other transcription factors, such as TFIIH, to ensure optimal transcription of the c-Myc gene . In addition to its role in transcription, FUBP1 has been found to act as an RNA-binding protein, regulating the translation or stability of several mRNA species .
FUBP1 has been implicated in various cancers, including hepatocellular carcinoma (HCC) and other malignancies . Overexpression of FUBP1 promotes cancer cell proliferation, invasion, and metastasis by activating signaling pathways such as the transforming growth factor-β (TGF-β)/Smad pathway . Aberrant expression of FUBP1, mutations in the FUBP1 gene, or alternative splicing of its repressor FIR have been found in a variety of malignant tissues .
Given its significant role in carcinogenesis, FUBP1 is considered a potential therapeutic target for cancer treatment. Inhibitors that block the activation of pathways mediated by FUBP1, such as the TGF-β/Smad pathway, have shown promise in reducing cancer cell proliferation and invasion in preclinical studies .