FSCN1 overexpression is linked to aggressive tumor phenotypes, including metastasis and poor prognosis. Key findings include:
Adrenocortical Carcinoma (ACC):
Liver Cancer:
Radiation Resistance:
FSCN1 regulates cytoskeletal dynamics and immune responses:
Phosphorylation at Ser39: Inhibits actin-binding, critical for cytoskeletal reorganization .
Co-expression Networks:
FSCN1 Antibody enables detection of circulating FSCN1 as a liquid biopsy marker:
Cancer Type | FSCN1 Level | Prognostic Insight |
---|---|---|
ACC | >15.8 ng/mL | Higher in stage III/IV vs. I/II |
HCC | Low expression | Differentiates from ICC (high FSCN1) |
NSCLC | Elevated | Correlates with metastasis |
FSCN1 Inhibition:
Phospho-Specific Antibodies:
Application | Dilution Range | Reactivity | Key Use Case |
---|---|---|---|
WB | 1:300–5000 | Human, Mouse | Detect phosphorylation status |
IHC-P | 1:200–400 | Human, Mouse | Tumor microenvironment analysis |
IF | 1:50–200 | Human, Mouse | Subcellular localization |
FSCN1 is a 55 kDa actin-bundling protein containing two major actin binding sites that facilitate cytoskeletal organization. Its activity is regulated through phosphorylation mechanisms which modulate its actin-binding capabilities . FSCN1 plays critical roles in cell migration, adhesion, and the formation of cell projections such as filopodia. Recent research has identified its potential involvement in inflammatory processes including pyroptosis, particularly in vascular diseases like atherosclerosis .
FSCN1 exhibits a specific expression pattern with high expression in dendritic cells and endothelial cells. Single-cell RNA sequencing data from atherosclerotic tissues has confirmed that FSCN1 is primarily expressed in endothelial cells in this pathological context . Importantly, FSCN1 is uniformly negative in lymphoid cells, plasma cells, and myeloid cells under normal conditions, which contributes to its utility as a differential diagnostic marker .
FSCN1 antibodies are employed across multiple research methodologies including:
Western Blot (WB): For detecting the 55 kDa FSCN1 protein
Immunohistochemistry (IHC): Particularly valuable for diagnostic pathology
Immunofluorescence (IF): For visualization of subcellular localization
Flow Cytometry: For quantitative cellular analysis
Over 110 citations in the scientific literature reference the use of FSCN1 antibodies across these applications . When selecting an antibody, researchers should consider the specific application requirements and validate antibody performance in their experimental system.
FSCN1 antibodies are available in multiple formats including:
Antibody Type | Available Formats | Common Applications |
---|---|---|
Monoclonal | Unconjugated, Biotin, CF® dye conjugates | WB, IHC, IF |
Polyclonal | Unconjugated, various fluorescent tags | WB, IP |
Species | Mouse, Rabbit | Various applications |
CF® dye conjugates offer exceptional brightness and photostability, though blue fluorescent conjugates (CF®405S, CF®405M) are not recommended for low-abundance targets due to higher background and lower fluorescence .
FSCN1 antibodies serve as valuable diagnostic tools in hematopathology, particularly for distinguishing Hodgkin lymphoma from non-Hodgkin lymphoma in challenging cases. The antibody demonstrates high sensitivity for Reed-Sternberg cells and variants in nodular sclerosis, mixed cellularity, and lymphocyte depletion Hodgkin's disease .
Methodological approach:
Use paraffin-embedded tissue sections (5μm thickness)
Perform heat-induced epitope retrieval
Apply optimized FSCN1 antibody dilution (typically 1:100)
Include appropriate positive (dendritic cells) and negative (lymphocytes) controls
Evaluate cytoplasmic staining patterns with particular attention to Reed-Sternberg cells
The absence of FSCN1 expression in neoplastic follicles of follicular lymphoma can help distinguish this condition from reactive follicular hyperplasia, which exhibits normal or increased follicular dendritic cells .
Recent transcriptomic analysis has identified FSCN1 as a potential therapeutic target for atherosclerosis. Cross-sectional clinical studies have demonstrated that elevated FSCN1 levels are associated with increased risk of atherosclerosis .
Key research findings include:
FSCN1 is upregulated in human atherosclerotic samples compared to normal tissues
Higher expression is observed in advanced atherosclerotic plaques versus early plaques
FSCN1 is primarily expressed in endothelial cells in atherosclerotic contexts
Knockdown of FSCN1 reduces pyroptosis and increases migration in mouse aortic endothelial cells (MAECs)
These findings suggest that FSCN1 modulation could potentially alleviate atherosclerosis development and progression, positioning it as both a prognostic biomarker and therapeutic target.
Based on recent atherosclerosis research, the following experimental approaches are recommended:
In vitro models:
Oxidized low-density lipoprotein (ox-LDL) treatment of mouse aortic endothelial cells (MAECs) to induce FSCN1 expression
FSCN1 knockdown using lentiviral shRNA vectors
Assessment of pyroptosis markers (NLRP3, caspase-1, GSDMD, IL-1β, IL-18)
Cell migration assays (wound healing, transwell) to evaluate functional effects
In vivo models:
Understanding FSCN1's molecular interactions is crucial for elucidating its function. Bioinformatic analysis using tools like STRING has identified potential FSCN1-interacting proteins including AKT1, RAB35, and FLNA . To experimentally validate these interactions, researchers should consider:
Co-immunoprecipitation (Co-IP) with FSCN1 antibodies followed by mass spectrometry
Proximity ligation assays (PLA) to visualize protein interactions in situ
FRET/BRET approaches for real-time interaction monitoring
GST pull-down assays with recombinant proteins
Yeast two-hybrid screening for novel interaction partners
These approaches can help establish the FSCN1 interactome and provide insights into its regulatory mechanisms.
Recent research has implicated FSCN1 in pyroptosis regulation, particularly in endothelial cells during atherosclerosis development . To investigate this connection, researchers should:
Measure canonical pyroptosis markers:
NLRP3 inflammasome activation
Caspase-1 cleavage
GSDMD cleavage
IL-1β and IL-18 release
Utilize FSCN1 knockdown and overexpression models:
Lentiviral delivery of shRNA for knockdown
Plasmid transfection for overexpression
CRISPR/Cas9 for genetic knockout
Implement appropriate pyroptosis assays:
LDH release assay to measure cell death
Propidium iodide uptake to visualize membrane pore formation
ASC speck formation assay
Caspase-1 activity assays
Understanding FSCN1's role in pyroptosis could reveal novel therapeutic approaches for inflammatory diseases like atherosclerosis .
Evidence suggests that FSCN1 expression may be induced by Epstein-Barr virus (EBV) infection of B cells . For researchers investigating this relationship, consider:
Utilize EBV infection models in appropriate B cell lines
Monitor FSCN1 expression kinetics post-infection using:
Western blot
qRT-PCR
Immunofluorescence
Investigate specific EBV latent or lytic genes responsible for FSCN1 induction
Determine if EBV-positive vs. EBV-negative lymphomas differ in FSCN1 expression patterns
This relationship has important implications for understanding virus-associated malignancies and may explain FSCN1 expression in certain EBV-positive pathologies.
For immunohistochemical detection of FSCN1 in formalin-fixed paraffin-embedded tissues:
Sample preparation:
5μm tissue sections on positively charged slides
Deparaffinization and rehydration
Antigen retrieval:
Heat-induced epitope retrieval (HIER) using citrate buffer (pH 6.0)
Pressure cooker treatment (20 minutes)
Antibody application:
Primary antibody: Anti-FSCN1 (1:100 dilution)
Incubation: Overnight at 4°C or 1 hour at room temperature
Detection system: HRP-polymer based with DAB chromogen
Evaluation methodology:
To validate FSCN1 antibody specificity:
Positive and negative controls:
Knockdown validation:
Multiple antibody approach:
Compare results using antibodies from different sources or clones
Verify consistent staining patterns across antibodies
Peptide competition:
Pre-incubate antibody with immunizing peptide
Confirm signal reduction/elimination
Based on successful research approaches, the following experimental design is recommended:
Clinical component:
Cross-sectional study measuring circulating FSCN1 levels via ELISA
Statistical analysis using logistic regression and ROC curves
Association analysis with atherosclerosis risk factors
Animal models:
Apoe knockout mice fed with high-fat diet
Tissue collection for histological and molecular analysis
Immunohistochemistry for FSCN1 expression in aortic tissues
Cellular models:
This multi-level approach provides comprehensive insight into FSCN1's role in atherosclerosis pathogenesis.
FSCN1's potential as a therapeutic target for atherosclerosis is supported by several research findings:
Expression pattern:
Upregulated in human atherosclerotic samples
Higher expression in advanced versus early atherosclerotic plaques
Primarily expressed in endothelial cells
Functional effects:
FSCN1 knockdown reduces pyroptosis in endothelial cells
FSCN1 knockdown increases endothelial cell migration
These effects may promote plaque stability and endothelial repair
Potential therapeutic approaches:
Small molecule inhibitors targeting FSCN1
RNA interference strategies (siRNA, shRNA)
Monoclonal antibodies against FSCN1
Biomarker potential:
Researchers should consider the following when encountering contradictory FSCN1 functional data:
Cell-type specificity:
FSCN1 has distinct functions in different cell types (endothelial cells vs. cancer cells)
Expression levels vary significantly between tissues
Context-dependent effects:
FSCN1 promotes migration in some cancer cells but inhibits migration in endothelial cells
These contradictory effects may relate to different interacting partners
Methodological considerations:
Different knockdown efficiencies may yield varying results
Experimental conditions (2D vs. 3D culture, matrix composition)
Timing of assessments after FSCN1 modulation
Reconciliation strategies:
Understanding these context-dependent functions is crucial for developing targeted therapeutic approaches.
Fascin Actin-Bundling Protein 1 (FSCN1) is a highly conserved actin-binding protein that plays a crucial role in the organization of the actin cytoskeleton. It is known for its ability to cross-link F-actin microfilaments into tight, parallel bundles, which is essential for various cellular processes such as motility, adhesion, and migration .
The FSCN1 gene is located on chromosome 7p22.1 and encodes a protein consisting of 493 amino acids with a molecular weight of approximately 54.5 kDa . The protein structure includes four β-trefoil domains, which are responsible for its actin-bundling activity. These domains create three major actin-binding surfaces that facilitate the bundling of actin filaments .
FSCN1 is involved in several critical cellular functions:
FSCN1 has garnered significant attention as a potential biomarker and therapeutic target in cancer research. Overexpression of FSCN1 is linked to poor prognosis and aggressive clinical progression in several types of human cancers, including breast, colorectal, and pancreatic cancers . Targeting FSCN1 could potentially inhibit tumor invasion and metastasis, making it a promising candidate for cancer therapy .
Mouse anti-human FSCN1 antibodies are commonly used in research to study the expression and function of FSCN1 in various biological contexts. These antibodies are utilized in techniques such as Western blotting, immunohistochemistry, and immunofluorescence to detect FSCN1 protein levels and localization in human tissues and cell lines .