FSCN1 Antibody

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Product Specs

Buffer
The antibody is provided as a liquid solution in PBS containing 50% glycerol, 0.5% BSA, and 0.02% sodium azide.
Form
Liquid
Lead Time
Generally, we can ship the products within 1-3 working days after receiving your orders. Delivery time may vary depending on the purchasing method or location. For specific delivery time, please consult your local distributors.
Synonyms
55 kDa actin bundling protein antibody; 55 kDa actin-bundling protein antibody; Actin bundling protein antibody; actin bundling protein; 55-KD antibody; FAN 1 antibody; FAN1 antibody; Fascin 1 antibody; Fascin actin bundling protein 1 antibody; Fascin antibody; Fascin homolog 1 actin bundling protein (Strongylocentrotus purpuratus) antibody; Fascin homolog 1 antibody; Fascin; sea urchin; homolog of; 1 antibody; Fascin1 antibody; FLJ38511 antibody; FSCN 1 antibody; FSCN1 antibody; FSCN1_HUMAN antibody; HSN antibody; p55 antibody; Singed (Drosophila) like (sea urchin fascin homolog like) antibody; Singed drosophila homolog like antibody; Singed like (fascin homolog sea urchin) (Drosophila) antibody; Singed like (fascin homolog sea urchin) antibody; Singed like protein antibody; Singed; drosophila; homolog of antibody; Singed-like protein antibody; SNL antibody; Strongylocentrotus purpuratus antibody
Target Names
FSCN1
Uniprot No.

Target Background

Function
Fascin is an actin-binding protein with two primary actin binding sites. It organizes filamentous actin into parallel bundles. Fascin plays a crucial role in the organization of actin filament bundles and the formation of microspikes, membrane ruffles, and stress fibers. It is essential for the formation of a diverse set of cell protrusions, such as filopodia, and for cell motility and migration. Fascin mediates the reorganization of the actin cytoskeleton and axon growth cone collapse in response to NGF.
Gene References Into Functions
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  1. Fascin1 constitutively interacts with IkappaB kinase (IKK) in the RIG-I signaling pathway. In summary, Fascin1 has been identified as a suppressor of the RIG-I signaling pathway, associating with IkappaB kinase in DLD-1 colon cancer cells to suppress immune responses to viral infection. PMID: 29496994
  2. Fascin protein accumulation, caused by reduced proteasomal activity, contributes to the acquisition of cancer stemness in chronic inflammation-related colon carcinogenesis. PMID: 30056535
  3. Fascin1 is associated with clinicopathologic parameters of gastric cancer and is overexpressed in both gastric cell lines and gastric tumor tissue. PMID: 30060981
  4. The expression of Fascin_1 protein differed between cancer tissue and paracarcinoma tissues in NSCLC patients and was also correlated with poor prognosis. PMID: 29970665
  5. FSCN1 physiologically interacted with and increased the levels of snail1 to promote ovarian cancer cell epithelial-mesenchymal transition. PMID: 30231243
  6. Fascin1 is an important mediator of TGF-beta1-induced invasion and migration of kidney carcinoma cells through ERK and JNK signal pathways. PMID: 29772238
  7. Findings demonstrate that fascin is required for migration and invasion induced by LA in MDA-MB-231 breast cancer cells. PMID: 29052029
  8. PCAT-1 accelerated prostate cancer cell proliferation, migration, invasion, and suppressed apoptosis by up-regulating FSCN1 mediated via miR-145-5p. PMID: 28922730
  9. Lentivirus-mediated fascin-1 knockdown significantly decreased the proliferation of non-small cell lung cancer cells. Furthermore, fascin-1 silencing partly inhibited cell invasion and migration. Inhibition of fascin-1 decreased the activity of the MAPK pathway. PMID: 29458026
  10. Studies show that Fascin 1 has a nuclear function in the regulation of the amino-acid transporter SLC3A2. PMID: 27819326
  11. SNAI2 overexpression significantly increased FSCN1 expression at both mRNA and protein levels. FSCN1 overexpression reduced the expression of E-cadherin and Claudin 1, but increased the expression of Vimentin and N-cadherin in SCC9 and SCC-15 cells. It is inferred that FSCN1 is a downstream effector of SNAI2 in promoting EMT in HNSC cells. PMID: 28488774
  12. MYC-nick, fascin, and Cdc42 are frequently up-regulated in cells present at the invasive front of human colorectal tumors, suggesting a coordinated role for these proteins in tumor migration. PMID: 27566402
  13. The prognostic importance of TGF-beta, TGF-beta receptor, and fascin in childhood solid tumors PMID: 29065267
  14. The results reveal that phosphorylation at FSCN1 amino acids Y23, S38, S39, and S274, in combination, downregulates the extent of anchorage-independent growth, cell migration, and filopodia formation in esophageal squamous cancer cells. PMID: 28251354
  15. Fascin and alpha-actinin intrinsically segregate to discrete bundled domains that are specifically recognized by other actin-binding proteins. PMID: 27666967
  16. This study showed that fascin expression intensity may be correlated with clinical outcomes of a newly diagnosed primary glioblastoma. PMID: 27406586
  17. These data demonstrated fascin as a critical regulator of breast cancer stem cell pool at least partially via activation of the Notch self-renewal signaling pathway. PMID: 27502039
  18. These results suggest that strong positive fascin-1 expression can be used as a diagnostic marker of TNBC. PMID: 27184764
  19. Authors demonstrated that one miRNA, miR-29a-5p, can bind to both the XIAP and FSCN1 3'UTRs and play an important role in those interactions. We showed that the 3'UTR of XIAP was able to antagonize miR-29a-5p, and resulted in the increased translation of XIAP and FSCN1. PMID: 28186968
  20. The expression of fascin-1 and lanminin-5 and the serum levels of fascin-1 and laminin-5 were related to the relapse of patients with non-small cell lung cancer. PMID: 28653739
  21. The results uncover a role for fascin that operates independently of filopodia assembly to promote efficient cell migration and invasion. PMID: 27554857
  22. FSCN1 is a direct target of miR-539. MiR-539 inhibits FSCN1 expression and suppresses hepatocellular carcinoma migration and invasion. PMID: 28393215
  23. We show for the first time that HTLV-1 usurps the host cell factor Fascin to foster virus release and cell-to-cell transmission. PMID: 27776189
  24. Results show that BMI1 and FSCN1 are highly expressed in colorectal neoplasm and correlate with poor prognosis. PMID: 27488323
  25. miR-200b serves a suppressive role in the mediation of NSCLC cell migration and invasion, partly at least, via targeting FSCN1. PMID: 27356635
  26. LRIG1 and Fascin-1 were differently expressed in cancer and normal lung tissue in patients with NSCLC, which could be a biomarker for mediastinal lymph node metastasis in NSCLC patients. PMID: 28230028
  27. The increase in fascin1 expression may be the key point of this impact of TGF-beta1. PMID: 27350089
  28. Fascin 1 plays an oncogenic role in non-small cell lung cancer. PMID: 26886283
  29. Fascin expression promotes cholangiocarcinoma RBE cell proliferation, migration, and invasion. PMID: 25882880
  30. TGF-beta1 could induce the expressions of Fascin1 mRNA and protein and thus improve the invasive and metastatic ability of human renal carcinoma cells. PMID: 26749573
  31. Elevated L-plastin expression promotes elongation and reduces protrusion density in cells with relatively lower L-plastin than fascin levels. PMID: 26945069
  32. Study demonstrates that FSCN1 is associated with increased risk of recurrence in pituitary adenomas and invasion, partially through modifying the expression of Notch/DLL pathway. PMID: 26522130
  33. The present study revealed an antioncogenic role of miR145 in gastric carcinoma via inhibition of FSCN1, and suggested that miR145 may be used for the treatment of gastric carcinoma. PMID: 26647829
  34. miR-145 negatively regulates the protein expression of its target FSCN1 in the NSCLC cell line H129. PMID: 26238532
  35. MiR-24 functions as a tumor suppressor in nasopharyngeal carcinoma through targeting FSCN1. PMID: 26503504
  36. Strong fascin-1 expression was found in 14.3% of borderline epithelial tumors of the ovary and linked to features related to elevated risk of recurrence. PMID: 26362828
  37. FSCN1 plays an important role in non-small cell lung cancer progression and prognosis. PMID: 26211585
  38. Alterations in nuclear Fascin levels result in defects in nucleolar morphology in both Drosophila follicles and cultured mammalian cells, suggesting that nuclear Fascin plays an important role in nucleolar architecture. PMID: 25808493
  39. miR-145 regulates cell migration and invasion in gastric cancer primarily by directly targeting FSCN1. PMID: 26010149
  40. Regulates translation through miR-155 and miR-125b, which target 3' UTR in TNF-alpha mRNA. PMID: 25831081
  41. The anti-oncogenic activity of miR-133a may involve the inhibition of the target gene FSCN1. The present study suggested that miR-133a may be a potential therapeutic target in the treatment of gastric cancer. PMID: 25815687
  42. The up-regulation of FSCN1 is a prognostic factor in patients diagnosed with hepatocellular liver cancer. PMID: 26173501
  43. Upregulated fascin expression was detected in melanoma metastases, but was not correlated to patient outcome. PMID: 25535872
  44. miR-133b directly targeted FSCN1, which functioned as an oncogenic gene in gastric cancer cells. PMID: 25433493
  45. Fascin-1 and paxillin were expressed in 58% and 43% of infiltrating duct carcinoma cases. There was a significant correlation between fascin-1 and paxillin expression and tumor grade, clinical stage, lymph-node metastasis grade, and HER2 expression. PMID: 26349603
  46. The cortactin SH3 domain contributes to podosome assembly while fascin actin bundling is a master regulator of podosome disassembly in THP-1 macrophages and dendritic cells. PMID: 25601713
  47. In ovarian primary mucinous tumors, fascin and EMMPRIN may play an important role in tumor progression from benign tumor to carcinoma. PMID: 25155376
  48. miR-133a functions as a tumor suppressor and directly targets FSCN1 in pancreatic cancer. PMID: 25198665
  49. LMP1-mediated upregulation of Fascin depends on NF-kappaB and both NF-kappaB and Fascin contribute to invasive migration of LMP1-expressing lymphocytes. PMID: 25105941
  50. Fascin plays a role in stress fiber organization and focal adhesion disassembly. PMID: 24930964
Database Links

HGNC: 11148

OMIM: 602689

KEGG: hsa:6624

STRING: 9606.ENSP00000371798

UniGene: Hs.118400

Protein Families
Fascin family
Subcellular Location
Cytoplasm, cytosol. Cytoplasm, cell cortex. Cytoplasm, cytoskeleton. Cytoplasm, cytoskeleton, stress fiber. Cell projection, filopodium. Cell projection, invadopodium. Cell projection, microvillus. Cell junction.
Tissue Specificity
Ubiquitous.

Q&A

What is FSCN1 and why is it significant in research?

FSCN1 (Fascin actin-bundling protein 1) is a 55 kDa protein that functions as an actin-bundling protein with critical roles in cell migration, motility, adhesion, and cellular interactions. Its actin binding ability is regulated by phosphorylation, making it an important target for studying cytoskeletal regulation in normal and pathological conditions. FSCN1 has gained significant research interest due to its differential expression patterns in various cancers and its potential role in tumor progression and metastasis.

What are the key applications of FSCN1 antibodies in research?

FSCN1 antibodies are valuable research tools primarily used in:

  • Immunohistochemical detection of FSCN1 in tissue samples for diagnostic purposes, particularly in lymphoma classification

  • Protein detection via Western blotting in experimental studies

  • Immunoprecipitation for studying protein-protein interactions

  • ELISA-based quantification of FSCN1 expression levels

  • Identification of FSCN1-positive cells in immunofluorescence microscopy
    These applications enable researchers to investigate FSCN1's role in normal cellular functions and pathological conditions.

How do different antibody clones for FSCN1 compare in terms of specificity and applications?

Different FSCN1 antibody clones exhibit varying specificities and application suitability. For instance, the FSCN1/418 clone has been extensively validated for immunohistochemistry in lymphoma diagnostics, while clones like CPTC-Fascin1-1 have been specifically validated for ELISA and Western blot applications. When selecting a FSCN1 antibody, researchers should consider the validation data for specific applications, the epitope recognized, and cross-reactivity profiles. Some antibodies recognize specific epitopes that may be masked in certain experimental conditions, affecting detection sensitivity.

How is FSCN1 antibody utilized in differentiating Hodgkin's lymphoma from non-Hodgkin's lymphoma?

FSCN1 antibody serves as a highly sensitive marker for Reed-Sternberg cells and their variants in Hodgkin's lymphoma subtypes including nodular sclerosis, mixed cellularity, and lymphocyte depletion Hodgkin's disease. In contrast, FSCN1 is uniformly negative in lymphoid cells, plasma cells, and myeloid cells that often comprise non-Hodgkin's lymphomas. This differential expression pattern makes FSCN1 antibody particularly valuable in challenging cases where morphological distinction between Hodgkin's and non-Hodgkin's lymphoma is difficult. The precise immunohistochemical protocol typically involves heat-induced epitope retrieval at pH 6, followed by primary antibody incubation and detection using appropriate visualization systems.

What methodological considerations are important when using FSCN1 antibody for distinguishing follicular lymphoma from reactive follicular hyperplasia?

When employing FSCN1 antibody to differentiate follicular lymphoma from reactive follicular hyperplasia, several methodological considerations are crucial:

  • Tissue fixation and processing: Consistent formalin fixation is essential as overfixation may mask the epitope

  • Counterstaining technique: Appropriate counterstaining helps identify neoplastic follicles

  • Interpretation parameters: Specifically assess FSCN1 expression in follicular dendritic cells, as follicular lymphoma typically shows reduced or absent FSCN1-positive follicular dendritic cells compared to reactive follicular hyperplasia where these cells are normal or increased

  • Control inclusion: Always include positive controls (dendritic cells) and negative controls (lymphocytes)

  • Multipanel approach: FSCN1 should be used as part of an antibody panel rather than in isolation for definitive diagnosis

This methodological approach leverages the biological observation that neoplastic follicles in follicular lymphoma characteristically lack FSCN1 expression, while reactive follicular hyperplasia maintains normal or increased numbers of FSCN1-positive follicular dendritic cells.

What is the significance of FSCN1 as a prognostic marker in different types of cancers?

FSCN1 has emerged as a significant prognostic marker across multiple cancer types. In neuroendocrine neoplasms of the lung and ovarian cancer, elevated FSCN1 expression correlates with aggressive tumor behavior and poorer clinical outcomes. More recently, high FSCN1 expression has been identified as a negative prognostic indicator in patients with PIK3CA mutations or amplifications, particularly in cervical cancer and head and neck squamous cell carcinoma. Methodologically, quantitative assessment of FSCN1 expression (typically using median expression as a cut-off value) in tumor samples can stratify patients into different prognostic groups, potentially guiding treatment decisions. This prognostic value is likely related to FSCN1's role in promoting cellular motility, invasion, and potentially treatment resistance.

What experimental approaches are most effective for identifying FSCN1-interacting proteins?

The most effective experimental approach for identifying FSCN1-interacting proteins involves a multi-step process:

  • Co-immunoprecipitation (co-IP) with FSCN1-specific antibodies: This technique captures FSCN1 along with its interacting partners from cell lysates

  • Mass spectrometry (MS) analysis: Following co-IP, liquid chromatography-coupled mass spectrometry enables identification of co-precipitated proteins

  • Data filtering: Comparing results against appropriate controls (e.g., IgG pull-downs) to eliminate non-specific interactions

  • Validation of interactions: Confirmation of selected interactions using reciprocal co-IP, proximity ligation assays, or FRET-based approaches

  • Functional validation: siRNA or CRISPR-based knockdown studies to assess functional relationships

This integrated approach has successfully identified 119 proteins as FSCN1-interacting partners in laryngeal squamous cell carcinoma cells, providing valuable insights into FSCN1's functional network. Careful optimization of lysis conditions is critical as FSCN1's interactions with cytoskeletal components may be sensitive to detergent concentration and buffer composition.

How do FSCN1-protein interactions contribute to cellular processes based on recent proteomic studies?

Recent proteomic studies have revealed that FSCN1 interacts with proteins involved in diverse cellular processes beyond its well-established role in actin bundling. Bioinformatics analysis of the FSCN1 interactome has linked it to:

  • Cell adhesion: FSCN1 interactions with adhesion-related proteins influence cellular attachment and motility

  • Glycolysis/gluconeogenesis: Unexpected connections to metabolic enzymes suggest potential roles in cancer metabolism

  • Regulation of protein ubiquitination: FSCN1 may influence protein stability and turnover through these interactions

  • Ribosomal RNA processing: Suggesting potential nuclear functions beyond its cytoskeletal role

  • Small molecule metabolism: Indicating broader metabolic implications

These interactions provide a molecular framework for understanding FSCN1's multifaceted contributions to cancer progression beyond simple cytoskeletal organization. From a methodological perspective, pathway enrichment analysis and protein-protein interaction network construction are essential analytical approaches for deriving functional insights from proteomic datasets.

What is known about the relationship between FSCN1 and Epstein-Barr virus (EBV) infection in B cells?

Emerging research indicates that FSCN1 expression may be induced by Epstein-Barr virus (EBV) infection of B cells, suggesting a potential viral mechanism for altering cytoskeletal dynamics. Methodologically, this relationship has been investigated through:

  • Comparison of FSCN1 expression in EBV-positive versus EBV-negative lymphoma samples using immunohistochemistry

  • In vitro studies of B cells before and after EBV infection to track changes in FSCN1 expression

  • Analysis of EBV viral proteins that may drive FSCN1 upregulation

  • Assessment of functional consequences of EBV-induced FSCN1 expression on B cell morphology and behavior

This relationship suggests that viral induction of FSCN1 in lymphoid or other cell types must be considered when interpreting FSCN1 expression in EBV-positive cases. The mechanism may involve EBV-encoded proteins activating signaling pathways that upregulate FSCN1 transcription, potentially contributing to the altered cellular behavior observed in EBV-associated malignancies.

How does FSCN1 contribute to radiation resistance in cancer cells with PIK3CA alterations?

FSCN1 appears to promote radiation resistance specifically in cancer cells harboring PIK3CA mutations or amplifications through several potential mechanisms:

  • Regulation of DNA damage repair pathways: FSCN1 may enhance repair of radiation-induced DNA damage

  • Modulation of apoptotic responses: High FSCN1 expression correlates with decreased radiation-induced apoptosis

  • Interaction with the PI3K-Akt signaling pathway: FSCN1 may synergize with aberrant PI3K signaling to promote cell survival

  • Potential influence on YWHAZ expression: FSCN1 expression positively correlates with YWHAZ, a protein involved in cell survival signaling

Experimentally, this relationship has been demonstrated through comparative analysis of radiation responses in cancer cells with PIK3CA alterations that either express high levels of FSCN1 or have undergone FSCN1 silencing. The synthetic lethal interaction between FSCN1 and the PI3K-Akt pathway appears specific to cells with PIK3CA alterations, suggesting a context-dependent role for FSCN1 in radiation response.

What experimental approaches can be used to evaluate FSCN1 as a therapeutic target in radioresistant cancers?

To evaluate FSCN1 as a therapeutic target in radioresistant cancers, researchers can employ a systematic experimental approach:

  • Expression analysis: Quantify FSCN1 expression in relation to PIK3CA status and clinical outcomes in patient cohorts

  • In vitro manipulation:

    • Use siRNA or CRISPR-Cas9 to silence FSCN1 in cell lines with various PIK3CA statuses

    • Perform clonogenic survival assays after radiation to assess radiosensitization

    • Conduct apoptosis assays (Annexin V/PI staining, caspase activation) to evaluate cell death mechanisms

  • Mechanistic studies:

    • Analyze downstream signaling pathways (particularly YWHAZ and PI3K-Akt pathway components)

    • Assess DNA damage and repair kinetics using γH2AX foci formation and resolution

  • In vivo validation:

    • Develop xenograft models with controlled FSCN1 expression

    • Evaluate tumor response to radiation therapy with and without FSCN1 inhibition

  • Small molecule screening:

    • Identify compounds that disrupt FSCN1 function or expression

    • Test these compounds in combination with radiation therapy

This comprehensive approach can determine whether FSCN1 inhibition represents a viable strategy for overcoming radioresistance in specific cancer contexts, particularly those with PIK3CA alterations.

What is the relationship between FSCN1 expression and YWHAZ in the context of cancer cell survival?

The relationship between FSCN1 and YWHAZ (14-3-3ζ) appears to be significant in cancer cell survival, particularly in the context of radiation response. Research indicates that:

  • Positive correlation: FSCN1 expression positively correlates with YWHAZ specifically in tumor tissues and cells with PIK3CA alterations

  • Regulatory relationship: Silencing FSCN1 leads to downregulation of YWHAZ, suggesting FSCN1 may regulate YWHAZ expression or stability

  • Functional significance: YWHAZ is a well-established anti-apoptotic protein that promotes cell survival through multiple mechanisms, including sequestration of pro-apoptotic proteins

  • Context dependency: This relationship appears particularly important in cells with PIK3CA alterations, suggesting pathway-specific interactions

Methodologically, this relationship can be investigated through correlation analysis of expression data, protein-protein interaction studies, and functional assays following manipulation of either protein. Understanding this relationship could provide insights into the molecular mechanisms underlying FSCN1's role in promoting cell survival and treatment resistance, potentially revealing new therapeutic vulnerabilities.

What are the key technical considerations when using FSCN1 antibody for immunohistochemistry?

When using FSCN1 antibody for immunohistochemistry, several technical considerations are critical for obtaining reliable and reproducible results:

  • Antibody selection:

    • Choose antibodies validated specifically for immunohistochemistry applications

    • Consider clone-specific performance (e.g., FSCN1/418 has been extensively validated)

    • Verify species reactivity (human-specific vs. cross-reactive antibodies)

  • Sample preparation:

    • Optimal fixation (typically 10% neutral buffered formalin for 24-48 hours)

    • Heat-induced epitope retrieval at pH 6.0 is typically recommended

    • Section thickness (4-5 μm is standard)

  • Staining protocol optimization:

    • Antibody dilution (typically 1:100 to 1:500, but requires optimization)

    • Incubation time and temperature (overnight at 4°C or 1-2 hours at room temperature)

    • Detection system selection (polymer-based systems often provide optimal results)

  • Controls:

    • Include positive controls (dendritic cells, Reed-Sternberg cells)

    • Include negative controls (lymphocytes, plasma cells)

    • Include isotype controls to assess non-specific binding

  • Interpretation guidelines:

    • Establish clear scoring criteria (intensity, percentage of positive cells)

    • Be aware of expected subcellular localization (primarily cytoplasmic)

    • Consider cell-type specific expression patterns

These technical considerations ensure accurate assessment of FSCN1 expression, particularly important in diagnostic applications such as lymphoma classification.

What are the advantages and limitations of different detection methods for studying FSCN1?

Different detection methods for studying FSCN1 offer distinct advantages and limitations:

Detection MethodAdvantagesLimitationsBest Applications
Immunohistochemistry (IHC)- Preserves tissue architecture
- Allows cell-type specific localization
- Compatible with archived FFPE samples
- Semi-quantitative
- Antibody specificity concerns
- Inter-observer variability
- Diagnostic pathology
- Tumor classification
- Spatial expression patterns
Western Blotting- Confirms antibody specificity (55 kDa band)
- Semi-quantitative comparison
- Detects total protein levels
- Loses spatial information
- Requires protein extraction
- Limited sample throughput
- Protein expression analysis
- Antibody validation
- Phosphorylation studies
Immunofluorescence- Allows co-localization studies
- Higher resolution of subcellular localization
- Multiplexing capability
- Photobleaching
- Autofluorescence interference
- Technical complexity
- Subcellular localization
- Co-localization studies
- Live cell imaging
Mass Spectrometry- Unbiased detection
- Identifies post-translational modifications
- Discovers interacting partners
- Requires specialized equipment
- Limited sensitivity
- Complex data analysis
- Interactome studies
- Proteomic profiling
- PTM identification
ELISA- Quantitative
- High throughput
- Standardizable
- Lacks spatial information
- Requires validated antibody pairs
- Limited to soluble protein
- Biomarker quantification
- Clinical assay development
- Screening applications

Selection of the appropriate method depends on the specific research question, available samples, and required information about FSCN1 expression or function.

What are the recommended protocols for using FSCN1 antibodies in co-immunoprecipitation studies to identify novel interacting partners?

When using FSCN1 antibodies for co-immunoprecipitation (co-IP) to identify novel interacting partners, the following optimized protocol is recommended:

  • Cell lysis optimization:

    • Use gentle lysis buffers (e.g., 25 mM Tris-HCl pH 7.4, 150 mM NaCl, 1% NP-40, 1 mM EDTA, 5% glycerol)

    • Include protease and phosphatase inhibitor cocktails

    • Perform lysis at 4°C with gentle agitation for 30 minutes

    • Clear lysates by centrifugation (14,000 × g, 15 minutes, 4°C)

  • Pre-clearing:

    • Incubate lysates with protein A/G beads and control IgG (1-2 hours, 4°C)

    • Remove beads by centrifugation to reduce non-specific binding

  • Immunoprecipitation:

    • Incubate pre-cleared lysates with FSCN1 antibody (3-5 μg per mg of lysate)

    • Use appropriate isotype IgG as negative control

    • Incubate overnight at 4°C with gentle rotation

    • Add protein A/G beads and incubate for additional 2-4 hours

    • Wash beads 5-6 times with cold lysis buffer (reduced detergent concentration)

  • Elution and analysis:

    • Elute bound proteins by boiling in SDS sample buffer (95°C, 5 minutes)

    • Separate proteins by SDS-PAGE followed by:
      a. Western blotting for targeted validation of specific interactions
      b. Silver staining for visualization of all co-precipitated proteins
      c. In-gel digestion and LC-MS/MS for comprehensive identification

  • Data analysis:

    • Filter against IgG control to eliminate non-specific interactions

    • Perform replicate experiments to ensure reproducibility

    • Validate key interactions through reciprocal co-IP

    • Perform bioinformatics analysis to identify enriched pathways

This protocol has been successfully used to identify 119 FSCN1-interacting proteins in laryngeal squamous cell carcinoma cells, providing insights into FSCN1's role in cancer progression.

What are the most promising areas for future research involving FSCN1 antibodies?

The most promising areas for future FSCN1 antibody-based research include:

  • Development of FSCN1 as a predictive biomarker for radiotherapy response, particularly in cancers with PIK3CA alterations

  • Investigation of the FSCN1-YWHAZ regulatory axis as a potential therapeutic target

  • Further characterization of the complete FSCN1 interactome across different cancer types

  • Exploration of the role of post-translational modifications in regulating FSCN1 function

  • Development of therapeutic antibodies or small molecules targeting FSCN1

  • Investigation of FSCN1's role in immune cell function, particularly in dendritic cells

These research directions leverage recent discoveries about FSCN1's role in cancer progression and treatment resistance, potentially leading to new diagnostic and therapeutic approaches.

How might advances in antibody technology improve FSCN1-based research and diagnostics?

Advances in antibody technology are likely to significantly enhance FSCN1-based research and diagnostics through:

  • Development of recombinant antibodies with improved specificity and batch-to-batch consistency

  • Generation of phospho-specific antibodies that distinguish between active and inactive FSCN1 forms

  • Creation of conformation-specific antibodies that recognize distinct functional states

  • Implementation of multiplexed immunofluorescence techniques for simultaneous detection of FSCN1 and interacting partners

  • Application of nano-antibodies or intrabodies for live-cell imaging of FSCN1 dynamics

  • Development of FSCN1-targeted antibody-drug conjugates for therapeutic applications

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