RASSF4 antibodies are immunoreagents designed to detect and quantify the RASSF4 protein, a member of the RASSF family involved in regulating cell proliferation, apoptosis, and metastasis. These antibodies enable researchers to investigate RASSF4's role in cancer biology through techniques like Western blot (WB), immunohistochemistry (IHC), and immunofluorescence (IF) .
Reactivity: Confirmed in human cell lines (e.g., HCT116, U2OS, MG-63) and tissues .
Storage: Stable at -20°C in PBS with glycerol and sodium azide .
Osteosarcoma: RASSF4 overexpression inhibits proliferation, migration, and epithelial-mesenchymal transition (EMT) by suppressing Wnt/β-catenin signaling (↓β-catenin, cyclin D1, c-Myc) .
Colorectal Cancer: RASSF4 downregulation correlates with advanced TNM stage and poor prognosis. Overexpression reduces cell growth and enhances 5-fluorouracil sensitivity via YAP/Bcl-2 pathway modulation .
Liver Cancer: RASSF4 attenuates hepatocellular carcinoma (HCC) progression by inhibiting Hippo-YAP signaling and TGF-β secretion, reducing chemoresistance to sorafenib .
Western Blot: Detects RASSF4 at ~37 kDa in human cell lines (e.g., RT-4, U-251MG) .
Immunohistochemistry: Shows nuclear localization in fallopian tube tissues and reduced expression in HCC tumors versus adjacent normal tissue .
Cell Cycle Analysis: RASSF4 overexpression induces G1 phase arrest in colorectal cancer cells .
Biomarker Potential: Low RASSF4 expression is linked to aggressive tumor behavior in osteosarcoma, colorectal cancer, and HCC .
Therapeutic Target: Restoring RASSF4 expression suppresses oncogenic pathways (e.g., Wnt, Hippo-YAP) and enhances chemotherapy efficacy .
RASSF4 (Ras Association Domain Family Member 4) belongs to the RASSF family proteins which interact with Ras protein. It functions primarily as a tumor suppressor gene that directly interacts with and activates K-Ras in a GTP-dependent manner . Current research indicates that RASSF4 is involved in multiple biological processes including:
Inhibition of cell proliferation in cancer cells
Induction of apoptosis in a Ras-dependent manner
Increasing sensitivity to chemotherapeutic agents such as 5-Fluorouracil (5-FU) in colorectal cancer
Regulation of the Hippo signaling pathway through interaction with MST1
Participation in skeletal muscle differentiation
RASSF4 has been found to be downregulated in multiple cancer types, including colorectal cancer, nasopharyngeal carcinoma, gastric cardia adenocarcinoma, multiple myeloma, and non-small cell lung cancers .
RASSF4 antibodies have been validated for several experimental applications:
Most research laboratories employ a combination of these techniques to validate findings across multiple platforms .
Proper validation of RASSF4 antibodies is crucial for ensuring reliable results. Based on recommendations from the Working Group for Antibody Validation and practices employed in recent studies, a comprehensive validation approach should include:
Genetic validation: Using RASSF4 knockdown or knockout models via CRISPRi or siRNA technology to confirm antibody specificity .
Recombinant expression: Creating stable cell lines overexpressing RASSF4 fused to a fluorescent protein reporter and comparing antibody binding between overexpressing and control cells .
Orthogonal validation: Correlating protein detection with RASSF4 mRNA levels via RT-qPCR .
Independent antibody verification: Testing multiple antibodies against different epitopes of RASSF4 to confirm consistent results .
In documented validations, researchers have successfully employed CRISPRi knockdown of RASSF4 in MCF10A KRAS G12V cells to demonstrate antibody specificity, showing significant staining on wild-type cells and minimal binding to the corresponding knockdown cell line .
For optimal RASSF4 detection in paraffin-embedded tissue sections, the following protocol has been shown to yield reliable results:
Deparaffinization and rehydration: Use xylene for deparaffinization followed by graded alcohol for rehydration .
Antigen retrieval: Perform in 0.01 M Citrate buffer. This step is critical for exposing antigenic epitopes masked during fixation .
Blocking steps:
Primary antibody incubation: Use RASSF4 antibody at 1:300 dilution and incubate overnight at 4°C .
Detection system: Employ Elivision Super kit (or equivalent) for secondary antibody incubation, followed by DAB plus kit for visualization .
Evaluation of staining should follow the immunoreactive score system, which accounts for both the intensity and percentage of positive cells .
RASSF4 functions in the Hippo pathway by interacting with MST1 to inhibit YAP nuclear translocation. To investigate this interaction:
Co-immunoprecipitation (Co-IP):
Immunofluorescence co-localization:
Analysis of YAP nuclear translocation:
Research has shown that RASSF4 overexpression attenuates YAP nuclear translocation, while RASSF4 knockdown increases it, confirming its role in the Hippo pathway .
RASSF4 has been implicated in modulating chemotherapy sensitivity, particularly to 5-FU in colorectal cancer and sorafenib in HCC. Several approaches using RASSF4 antibodies can elucidate these mechanisms:
Expression correlation studies:
Mechanism investigation:
Pathway analysis:
Research demonstrates that RASSF4 overexpression increases 5-FU-induced apoptosis and downregulates mitochondrial membrane potential, while RASSF4 knockdown promotes resistance, suggesting its utility as a biomarker for treatment response .
For successful co-immunoprecipitation of RASSF4 and its interaction partners:
Lysis buffer optimization:
Antibody selection:
Binding and elution conditions:
Controls and validation:
Always include IgG control precipitations
Confirm interactions through reciprocal IP (i.e., precipitate the suspected binding partner and probe for RASSF4)
Validate interactions through additional methods such as proximity ligation assay or FRET
Researchers have successfully used these approaches to demonstrate that RASSF4 interacts specifically with MST1 but not MST2, highlighting the importance of proper controls in distinguishing between closely related interaction partners .
To study RASSF4's interaction with Ras proteins:
Ras activation-dependent binding assays:
Small molecule competition assays:
Structural studies:
Antibody-based protein purification can facilitate crystallography or cryo-EM studies of RASSF4-Ras complexes
Epitope mapping using antibody fragments can identify key binding interfaces
Functional validation:
Measure changes in downstream Ras signaling pathways (MAPK, PI3K) in cells with RASSF4 overexpression or knockdown
Use proximity ligation assays to visualize endogenous Ras-RASSF4 interactions in intact cells
Research indicates that RASSF4 directly interacts with and activates K-Ras in a GTP-dependent manner, inducing apoptosis in a Ras-dependent fashion .
RASSF4 expression and detection vary across tissue types, requiring specific optimization:
Colorectal tissues:
Liver tissues:
Skeletal muscle:
Cancer cell lines:
When comparing expression across tissues, consistent fixation protocols and antibody concentrations should be maintained to allow for valid quantitative comparisons.
RASSF4 antibodies have proven valuable in investigating correlations between expression and clinical parameters:
Studies have demonstrated that RASSF4 downregulation significantly associates with advanced TNM stage, T status, positive node status, and high Ki-67 index in CRC patients, suggesting its utility as a prognostic biomarker .
Researchers frequently encounter the following challenges when working with RASSF4 antibodies:
Non-specific binding:
Low signal intensity:
Inconsistent results across samples:
Cross-reactivity with other RASSF family members:
Detection in fixed versus frozen tissues:
Accurate quantification of RASSF4 immunostaining requires systematic approaches:
Immunoreactive scoring systems:
Use established scoring systems that account for both staining intensity and percentage of positive cells
Example system: Multiply intensity score (0-3) by percentage score (0-4) for a final score range of 0-12
Scores can be dichotomized as "high" versus "low" expression based on median values or established cutoffs
Digital image analysis:
Use software platforms capable of calculating H-scores or automated quantification
Standardize image acquisition parameters (exposure time, white balance)
Set consistent thresholds for positive staining across all analyzed samples
Statistical validation:
Perform interobserver and intraobserver validation with multiple trained pathologists
Calculate kappa coefficients to ensure scoring consistency
Consider using continuous variables for more sensitive statistical analyses
Controls for normalization:
In published studies, researchers have successfully used these approaches to demonstrate that RASSF4 protein expression was downregulated in 38.2% of CRC specimens and that this downregulation correlated significantly with clinical outcomes .