EIF4EBP1 (also known as 4E-BP1, PHAS-I) is a translation repressor protein that regulates eIF4E activity by preventing its assembly into the eIF4F complex. In its hypophosphorylated form, EIF4EBP1 competes with EIF4G1/EIF4G3 and strongly binds to EIF4E, leading to repression of translation. Conversely, when hyperphosphorylated, EIF4EBP1 dissociates from EIF4E, allowing interaction between EIF4G1/EIF4G3 and EIF4E and enabling translation initiation .
EIF4EBP1 mediates the regulation of protein translation in response to various stimuli including hormones, growth factors, and other signals that act through the MAP kinase and mTORC1 pathways . It plays critical roles in cell growth, proliferation, and various disease states, particularly cancer.
The EIF4EBP1 (Ab-64) Antibody is a rabbit polyclonal antibody that specifically detects endogenous levels of total 4E-BP1 protein. It was generated using a synthesized non-phosphopeptide derived from human 4E-BP1 around the phosphorylation site of serine 65 (R-N-S(p)-P-V) . This antibody recognizes both phosphorylated and non-phosphorylated forms of the protein and has been validated for detecting EIF4EBP1 with a molecular weight of approximately 15 kDa in SDS-PAGE applications .
The EIF4EBP1 (Ab-64) Antibody has been validated for multiple applications:
Western Blotting (WB): Recommended dilution range of 1:500 to 1:3000
Immunohistochemistry (IHC): Recommended dilution range of 1:50 to 1:100
ELISA: Used in various ELISA formats, including cell-based ELISA systems
The antibody has been tested and validated in these applications using human, mouse, and rat samples .
For optimal Western blotting results with EIF4EBP1 (Ab-64) Antibody:
Prepare cell/tissue lysates under reducing conditions.
Separate proteins via SDS-PAGE (expect EIF4EBP1 at approximately 15 kDa).
Transfer proteins to a membrane (PVDF or nitrocellulose).
Block with 5% non-fat milk or BSA in TBST for 1 hour at room temperature.
Incubate with primary EIF4EBP1 (Ab-64) Antibody at a dilution of 1:500 to 1:3000 in blocking buffer overnight at 4°C.
Wash 3-5 times with TBST.
Incubate with appropriate HRP-conjugated secondary antibody.
Detect signal using enhanced chemiluminescence or infrared imaging systems .
A validation example shows detection of EIF4EBP1 in Jurkat cells treated with insulin (0.01U/ml, 15mins) , which can serve as a positive control for antibody performance.
For immunohistochemistry applications:
Prepare paraffin-embedded tissue sections (4-6 μm thickness).
Deparaffinize and rehydrate sections.
Perform antigen retrieval (citrate buffer pH 6.0 is typically effective).
Block endogenous peroxidase activity with hydrogen peroxide solution.
Block non-specific binding with normal serum or protein blocking reagent.
Incubate with EIF4EBP1 (Ab-64) Antibody at a dilution of 1:50 to 1:100 overnight at 4°C.
Wash with PBS or TBS.
Apply appropriate secondary antibody system.
Develop with DAB or other chromogen.
The antibody has been validated for IHC in human colon carcinoma tissue, which could serve as a positive control sample .
For rigorous experimental design, include:
Positive Controls:
Jurkat cells treated with insulin (0.01U/ml, 15mins) for Western blot applications
For cell-based ELISA: HeLa cells (typically express detectable levels of EIF4EBP1)
Negative Controls:
Primary antibody omission control
Isotype control (rabbit IgG at matching concentration)
Non-expressing or knockdown cell lines
Normalization Controls:
For Western blots: housekeeping proteins like GAPDH, β-actin, or tubulin
For cell-based ELISA: GAPDH antibody is recommended for normalizing target absorbance values
For phosphorylated EIF4EBP1 studies: include antibodies against total EIF4EBP1 for normalization
While the EIF4EBP1 (Ab-64) Antibody detects total EIF4EBP1 regardless of phosphorylation status, researchers often need to distinguish phosphorylation states:
Western Blot Mobility Shift Analysis: Phosphorylated EIF4EBP1 migrates more slowly in SDS-PAGE than non-phosphorylated forms, appearing as multiple bands (α, β, γ bands) representing different phosphorylation states .
Phospho-specific Antibodies: Use antibodies specific to particular phosphorylation sites:
Phosphatase Treatment: Treating samples with lambda phosphatase before Western blotting will collapse multiple bands into a single lower molecular weight band if differences are due to phosphorylation.
Multiplexed Detection: Simultaneous use of phospho-specific and total EIF4EBP1 antibodies with different fluorescent tags can provide a phosphorylation ratio directly.
EIF4EBP1 transcription is regulated by multiple factors that should be considered in experimental design:
MYC Oncoprotein: Directly stimulates EIF4EBP1 transcription and is often dysregulated in cancer models .
Androgen Receptor: Regulates EIF4EBP1 expression in hormone-responsive tissues .
Stress Response Regulators: ATF4 and ATF5 upregulate EIF4EBP1 in response to cellular stress .
Hypoxia-Inducible Factor (HIF-1A): Activates EIF4EBP1 transcription under hypoxic conditions .
E2F6: Acts as a transcriptional repressor, but paradoxically induces EIF4EBP1 promoter activity even at low expression levels .
ETS1 and MYBL2: Both increase EIF4EBP1 promoter activity in a dose-dependent manner .
When designing experiments involving EIF4EBP1, consider:
The cellular context and activation status of these transcription factors
Whether treatments or disease states alter the expression of these regulators
The potential for feedback loops, as EIF4EBP1 itself influences translation of these factors
EIF4EBP1 expression shows significant alterations in cancer with important implications for research:
When using EIF4EBP1 (Ab-64) Antibody in cell-based ELISA systems, researchers should be aware of several technical considerations:
Cell Type Selection:
Cell lines must express detectable levels of EIF4EBP1
For adherent cells, the protocol can be used directly
For suspension cells and loosely attached cells, additional steps are required:
Cell Number Optimization:
Normalization Methods:
Technical Validation:
EIF4EBP1 phosphorylation status serves as a key readout of mTOR pathway activity with significant implications for disease research:
mTOR Signaling Indicator:
Cancer Research Applications:
High EIF4EBP1 expression significantly correlates with enriched mTOR and cell proliferation-related gene sets in cancer
Gene set enrichment analysis (GSEA) of high EIF4EBP1-expressing tumors shows enrichment of MYC, G2M checkpoint, and E2F target genes
In breast cancer, EIF4EBP1 expression correlates with increased Ki67 expression and signaling via pharmacologically-activated mTOR gene sets
Methodological Approach:
Use phospho-specific antibodies targeting key sites (Thr45, Thr69, Ser111) alongside total EIF4EBP1 antibodies
Calculate phosphorylation ratio (phospho/total) to normalize for expression level differences
Consider treatment with mTOR inhibitors (rapamycin or analogs) as negative controls
Insulin treatment (0.01U/ml, 15mins) serves as a positive control for mTOR activation
Interpretation Framework:
Assess multiple phosphorylation sites, as the pattern of phosphorylation may be context-dependent
Consider feedback mechanisms that might affect results in different experimental conditions
In cancer studies, correlate phosphorylation status with patient outcomes and treatment responses
Remember that increased total EIF4EBP1 expression itself may reflect mTOR pathway deregulation
| Problem | Possible Causes | Solutions |
|---|---|---|
| No signal in Western blot | - Insufficient protein loading - Inefficient protein transfer - Incorrect antibody dilution - Degraded antibody | - Increase protein amount (20-50μg recommended) - Check transfer with Ponceau S staining - Optimize antibody concentration (start with 1:1000) - Use freshly prepared antibody dilution |
| High background | - Insufficient blocking - Excessive antibody concentration - Cross-reactivity with blocking agent | - Increase blocking time/concentration - Further dilute primary and secondary antibodies - Try alternative blocking agent (BSA vs. milk) - Include 0.1% Tween-20 in wash buffers |
| Multiple unexpected bands | - Non-specific binding - Protein degradation - Post-translational modifications | - Increase antibody dilution - Add protease inhibitors to lysis buffer - Compare with phosphatase-treated samples |
| Weak signal in IHC | - Suboptimal antigen retrieval - Insufficient primary antibody - Poor tissue fixation/processing | - Optimize antigen retrieval methods - Decrease antibody dilution (try 1:50) - Extend primary antibody incubation time |
| Inconsistent cell-ELISA results | - Uneven cell distribution - Variable permeabilization - Incomplete fixation | - Ensure uniform cell seeding - Standardize permeabilization time - Optimize fixation conditions |
Rigorous validation ensures reliable results and includes:
Positive and Negative Controls:
Knockdown/Knockout Validation:
siRNA or shRNA against EIF4EBP1
CRISPR/Cas9-mediated knockout
Signal should be absent or significantly reduced in these systems
Peptide Competition Assay:
Orthogonal Detection Methods:
Verify with alternative antibodies targeting different epitopes
Correlate protein detection with mRNA expression data
Mass spectrometry validation of detected bands
Phosphorylation-Specific Validation:
EIF4EBP1 (Ab-64) Antibody enables investigation of translational control mechanisms across various disease models:
Cancer Research:
Neurological Disorders:
Metabolic Diseases:
Track EIF4EBP1 phosphorylation in response to insulin signaling alterations in diabetes models
Investigate nutrient-sensing pathways through EIF4EBP1 status
Explore connections between metabolic stress and translational control
Experimental Approaches:
Combine EIF4EBP1 (Ab-64) Antibody with polysome profiling to correlate EIF4EBP1 status with translational efficiency
Use phospho-specific antibodies alongside total EIF4EBP1 detection to determine activation state
Perform immunoprecipitation to identify EIF4EBP1-interacting proteins in disease conditions
For accurate quantification of EIF4EBP1 in complex tissues:
Immunohistochemistry Quantification:
Cell-Type Specific Analysis:
Double immunofluorescence staining with cell-type markers
Single-cell RNA sequencing shows EIF4EBP1 is predominantly expressed in cancer epithelial cells, particularly in basal epithelial cell subclasses
Cell cybersorting via algorithms like xCell can help deconvolute expression patterns within the tumor microenvironment
Expression Level Stratification:
Correlation with Other Biomarkers: