EIF5A2 antibodies are monoclonal or polyclonal reagents designed to target specific epitopes of the EIF5A2 protein. These antibodies are validated for applications including Western blot (WB), immunohistochemistry (IHC), immunofluorescence (IF/ICC), and enzyme-linked immunosorbent assay (ELISA).
EIF5A2 is overexpressed in multiple cancers and correlates with aggressive phenotypes and poor prognosis. Below are key findings:
EMT Regulation: EIF5A2 upregulates mesenchymal markers (vimentin, fibronectin) and downregulates E-cadherin .
Therapeutic Resistance: In NSCLC, EIF5A2 mediates hypoxia-induced cisplatin resistance by modulating autophagy genes (LC3, ATG3) .
Metastasis: EIF5A2 activates RhoA/Rac1 and MMP-2 pathways to drive melanoma and HCC invasion .
OSCC: High EIF5A2 expression correlates with low E-cadherin (P = 0.046) and high β-catenin (P = 0.020) .
Melanoma: Cytoplasmic EIF5A2 staining intensity predicts 5-year survival (P = 0.001) .
NSCLC: Cytoplasmic and nuclear localization in tumor tissues vs. limited expression in normal lung .
Knockdown Effects: Silencing EIF5A2 reduces melanoma cell invasion by 60–70% and MMP-2 activity .
Overexpression: Increases NSCLC tumor growth (in vivo) and translation of polyproline-containing proteins .
EIF5A2 is an independent prognostic marker in multiple cancers:
OSCC: Hazard ratio = 1.714 (95% CI: 1.134–2.590; P = 0.011) .
Melanoma: Positive staining in thin melanomas (≤2 mm) predicts 100% 5-year survival in negative cases vs. 50% in positive cases .
NSCLC: High EIF5A2 levels correlate with poor survival (P < 0.05) .
EIF5A2 is a translation factor that promotes translation elongation and termination, particularly when ribosomes stall at specific amino acid sequence contexts. It plays crucial roles in:
Binding between the exit (E) and peptidyl (P) sites of the ribosome
Promoting rescue of stalled ribosomes
Enabling efficient translation of polyproline-containing peptides
Additionally, EIF5A2 is involved in actin dynamics, cell cycle progression, mRNA decay, and pathways related to stress response and cell wall integrity maintenance . Its importance in research stems from its frequent overexpression in various cancers and its association with tumor metastasis .
While both target proteins share structural similarities, there are important distinctions:
| Feature | EIF5A1 Antibodies | EIF5A2 Antibodies |
|---|---|---|
| Target expression | Constitutive expression in most cells | Primarily in cancer cells with frequent overexpression |
| Research applications | General translation studies | Cancer progression and metastasis studies |
| Prognostic value | Limited prognostic significance | Strong association with poor prognosis in multiple cancers |
| Functional focus | Cell proliferation | Cell migration and invasion |
Research has shown that while eIF5A1 function is more related to cell proliferation, eIF5A2 preferentially regulates cell migration . This functional difference makes EIF5A2 antibodies particularly valuable in cancer metastasis research.
EIF5A2 antibodies have been validated for multiple applications:
Western Blotting (WB): For detecting EIF5A2 protein expression levels
Immunohistochemistry (IHC-P): For analyzing tissue distribution and localization
The choice of application depends on research objectives. For instance, IHC-P is preferred for studying subcellular localization (nuclear vs. cytoplasmic expression), which has been shown to have prognostic significance in hepatocellular carcinoma .
Optimization requires systematic testing based on:
Application type:
Validation protocol:
Begin with manufacturer's recommended dilution
Perform a titration experiment using positive control samples
Evaluate signal-to-noise ratio at each dilution
Include appropriate negative controls to assess specificity
For example, in studies of EIF5A2 in cancer tissues, researchers have successfully used dilutions of 1:100 for IHC-P with citrate buffer (pH 6) heat-mediated antigen retrieval .
Distinguishing these post-translationally modified forms requires specialized antibodies and techniques:
For acetylated EIF5A2:
Use anti-acetyl-EIF5A/EIF5A2 antibodies specifically targeting acetylated lysine residues (e.g., Acetyl K47)
These antibodies recognize acetylation sites that affect protein function and stability
Western blotting with these antibodies can reveal acetylation status changes upon experimental manipulations
For hypusinated EIF5A2:
Use antibodies specifically recognizing the unique hypusine modification
For temporal studies of hypusination, as seen in TGFB1 treatment experiments, collect samples at multiple time points (e.g., 24h, 48h, 72h)
The hypusination pattern of EIF5A2 shows distinct temporal changes (peak at 24-48h) after TGFB1 treatment, unlike EIF5A1
Combining both antibody types in parallel experiments provides comprehensive insight into EIF5A2 post-translational modification status, which is critical for understanding its functional state in different cellular contexts.
Contradictory findings regarding EIF5A2 localization can be addressed through:
Subcellular fractionation combined with western blotting:
Separate nuclear, cytoplasmic, and membrane fractions
Quantify EIF5A2 distribution across fractions
Include markers for each fraction (e.g., HDAC1 for nucleus, GAPDH for cytoplasm)
High-resolution imaging techniques:
Context-specific analysis:
Compare normal versus cancer tissues
Analyze different cellular states (e.g., during EMT, after TGFB1 treatment)
Research has shown that in HCC, EIF5A2 expression is significantly higher in nuclei of cancer cells compared to adjacent tissues (P=0.0001), while cytoplasmic expression shows no significant difference (P=0.342)
Dynamic localization studies:
These approaches can help reconcile contradictory findings by revealing context-dependent localization patterns.
Optimal experimental designs include:
Combined knockdown and overexpression systems:
Functional assays for EMT phenotypes:
TGFB1 stimulation protocol:
In vivo validation:
This comprehensive approach has revealed that EIF5A2 overexpression enhances both cell migration and invasion, with TGFB1 treatment further boosting these effects through increased hypusinated EIF5A2 expression .
To establish EIF5A2-specific effects:
Isoform-specific genetic manipulation:
Perform parallel knockdown experiments targeting EIF5A1 and EIF5A2 separately
Use highly specific siRNAs or shRNAs designed to target unique regions
Validate knockdown specificity by western blot with isoform-specific antibodies
Rescue experiments:
After knockdown, reintroduce each isoform separately
Use expression constructs resistant to the siRNA/shRNA employed
Assess whether phenotype restoration is isoform-specific
Pharmacological approach:
Clinical correlation analysis:
Through these approaches, researchers have established that EIF5A2 preferentially regulates cell migration, while EIF5A1 is more associated with cell proliferation , emphasizing their distinct roles in cancer progression.
Common causes and solutions include:
Validation strategies should include:
Using recombinant EIF5A and EIF5A2 proteins as positive controls
Including tissues known to express or lack EIF5A2
Performing peptide competition assays to confirm specificity
Discrepancies may arise from several factors:
Post-transcriptional regulation:
Post-translational modifications affecting protein stability:
Methodology considerations:
For protein analysis: Compare results from multiple antibodies targeting different epitopes
For mRNA analysis: Use both qPCR and RNA-seq if possible
Temporal dynamics:
Properly interpreting these discrepancies can provide insights into the regulatory mechanisms controlling EIF5A2 expression in different cellular contexts.
Multi-level experimental approaches include:
Tissue microarray analysis:
Functional studies in cell models:
Analysis of downstream polyproline-containing proteins:
In vivo metastasis models:
These approaches have revealed that EIF5A2 amplification (found in 9% of lung adenocarcinoma patients) associates with poor clinical outcomes and promotes cell migration through translational regulation of proteins involved in EMT .
Key methodological considerations include:
ROS detection techniques:
Use fluorescent probes (e.g., DCFDA) to measure intracellular ROS levels
Include positive controls (H₂O₂ treatment) and negative controls (antioxidant pretreatment)
Validate with multiple detection methods
Experimental design for EIF5A2-ROS relationship:
Pathway analysis:
Use specific inhibitors to target ROS-producing enzymes (e.g., NADPH oxidases)
Combine with EIF5A2 manipulation to establish causal relationships
Monitor EMT markers to link ROS changes to phenotypic outcomes
Validation in multiple cell lines:
Test effects in multiple hepatocellular carcinoma cell lines or other cancer types
Compare normal versus cancer cells to identify cancer-specific relationships
These approaches can help establish mechanistic links between EIF5A2, ROS, and the EMT process in cancer progression .
Optimization strategies include:
Polysome profiling analysis:
Ribosome profiling (Ribo-seq):
Generate genome-wide maps of ribosome positioning
Focus analysis on polyproline-coding regions and stall sites
Compare with matched RNA-seq data to distinguish translational from transcriptional effects
Puromycylation assays:
Targeted analysis of polyproline-containing proteins:
Focus on proteins involved in EMT and migration (SNAI1, Fibronectin, FHOD1, Ezrin)
Monitor protein levels after EIF5A2 manipulation
Combine with actinomycin D treatment to block transcription and isolate translational effects
These approaches can reveal how EIF5A2 creates "specialized ribosomal hubs" for coordinated translation of proteins involved in cell migration and invasion .
Emerging techniques include:
Spatial transcriptomics combined with antibody-based imaging:
Integrate EIF5A2 protein localization with spatially-resolved transcriptomics
Map translational activity in different tumor regions
Correlate with invasive fronts and metastatic potential
Multiplexed immunofluorescence panels:
Combine EIF5A2 antibodies with markers for:
Post-translational modifications (hypusination, acetylation)
EMT markers (E-cadherin, vimentin, SNAI1)
Proliferation markers (Ki67)
Create comprehensive phenotypic profiles of tumor cells
Proximity ligation assays (PLA):
Detect protein-protein interactions involving EIF5A2
Investigate connections to the TGFB1 pathway components
Map interactions with ribosomal proteins at specific cellular locations
CRISPR-based screening with antibody readouts:
Perform genome-wide screens for regulators of EIF5A2 expression or function
Use antibodies for high-content imaging to quantify phenotypic effects
Identify synthetic lethal interactions with EIF5A2 inhibition
These approaches could help develop more precise targeting strategies for EIF5A2-dependent processes in cancer .
Single-cell approaches include:
Single-cell Western blotting:
Detect EIF5A2 protein levels in individual cells
Correlate with cell morphology and migration potential
Identify rare cell populations with extreme EIF5A2 expression
Mass cytometry (CyTOF) with EIF5A2 antibodies:
Develop metal-conjugated EIF5A2 antibodies
Create high-dimensional profiles of tumor cells
Correlate EIF5A2 expression with multiple cellular markers
Spatial proteomics:
Single-cell RNA-seq combined with antibody-based sorting:
Isolate EIF5A2-high and EIF5A2-low cell populations
Perform transcriptional profiling to identify downstream effects
Integrate with trajectory analysis to map EMT progression
These techniques would help resolve cellular heterogeneity in tumors and identify specific cell populations where EIF5A2 plays critical roles in driving aggressive phenotypes.