EFTUD2 regulates interferon (IFN)-mediated antiviral responses by modulating mRNA splicing of interferon-stimulated genes (ISGs):
| Finding | Mechanism |
|---|---|
| IFN Anti-HBV Activity | EFTUD2+/– HepG2.2.15 cells showed 50.17% reduced EFTUD2 protein levels, attenuating IFN-α’s suppression of HBV replication. |
| ISG Splicing Regulation | EFTUD2 knockout decreased Mx1, OAS1, and PKR protein expression by altering mRNA splicing efficiency. |
| Rescue by Overexpression | EFTUD2 complementation restored ISG protein levels and IFN’s antiviral efficacy. |
Key ISGs affected include:
Mx1: Reduced expression in EFTUD2+/– cells impaired viral restriction.
OAS1/PKR: Loss of functional splicing diminished their antiviral signaling .
EFTUD2 is overexpressed in HCC and drives tumor progression via STAT3 activation:
| Observation | Functional Impact |
|---|---|
| Clinical Correlation | High EFTUD2 levels predict shorter survival in HCC patients (TCGA data). |
| Cell Survival Dependency | Stable EFTUD2 knockdown via siRNA or lentivirus induced HCC cell death. |
| Metastasis Promotion | EFTUD2 overexpression enhanced epithelial-mesenchymal transition (EMT) and STAT3 activation. |
Mechanistic insights:
STAT3 Pathway: EFTUD2 upregulates STAT3, driving EMT and metastasis.
Therapeutic Vulnerability: EFTUD2 is essential for HCC cell survival, suggesting its potential as a therapeutic target .
Antiviral Therapy: EFTUD2 could serve as a biomarker to predict IFN-α treatment outcomes in chronic hepatitis B .
Cancer Therapeutics: Targeting EFTUD2 might disrupt STAT3-driven oncogenesis in HCC .
Both antibodies are validated across multiple platforms:
Western Blot: Detects EFTUD2 at ~109–120 kDa in HeLa, HepG2, and cancer cell lines .
Immunohistochemistry: Used to assess EFTUD2 expression in liver and colon cancer tissues .
Protocols for IP, IF, and WB are standardized and available from suppliers .
EFTUD2 (also known as SNU114, U5-116KD, or SNRP116) is a 116 kDa GTPase that functions as a core component of the spliceosome complex essential for pre-mRNA splicing. It plays crucial roles in mRNA maturation, immune response regulation, and has been implicated in viral infections and cancer progression . EFTUD2 antibodies enable researchers to detect this protein in various experimental contexts, allowing investigation of its expression, localization, and interactions. These antibodies are particularly valuable for studying RNA processing mechanisms, immune function regulation, and disease pathways where EFTUD2 has been implicated .
EFTUD2 antibodies have been validated for multiple research applications:
| Application | Typical Dilution/Amount | Validated Cell Types |
|---|---|---|
| Western Blot (WB) | 1:500-1:2000 | HeLa, HEK293 |
| Immunoprecipitation (IP) | 0.5-4.0 μg for 1.0-3.0 mg lysate | HeLa |
| Immunofluorescence (IF)/ICC | 1:400-1:1600 | HepG2 |
| Immunohistochemistry (IHC) | Varies by antibody | Various tissues |
| Co-Immunoprecipitation (CoIP) | Application-specific | Validated in publications |
Different antibodies may have specific optimal conditions, and it's recommended to titrate the antibody in each testing system to obtain optimal results .
EFTUD2 antibodies are typically supplied in liquid form, often in PBS with preservatives such as 0.02% sodium azide and stabilizers like 50% glycerol and sometimes BSA . The recommended storage condition is -20°C, where they remain stable for approximately one year from receipt . After thawing, some antibodies can be stored at 2-8°C for up to 6 months . Avoiding repeated freeze-thaw cycles is crucial as this can degrade the antibody. For 20μl size preparations, some formulations contain 0.1% BSA as additional stabilizer . Always check manufacturer-specific recommendations for your particular antibody.
When selecting EFTUD2 antibodies, consider that different products offer varying species reactivity profiles:
| Antibody Source | Human | Mouse | Rat | Other Species |
|---|---|---|---|---|
| Proteintech (10208-1-AP) | ✓ | ✓ (cited) | - | - |
| Boster Bio (A04780-2) | ✓ | ✓ | ✓ | - |
| ABIN7297582 | ✓ | ✓ | ✓ | Zebrafish, Cow, Chicken |
| PrecisionAb Monoclonal | ✓ | - | - | - |
Species cross-reactivity should be experimentally verified for your specific research model . Some antibodies have demonstrated reactivity beyond what has been directly tested due to sequence homology, but validation in your species of interest is recommended.
For optimal Western blot detection of EFTUD2:
Gel selection: Use 7.5-10% SDS-PAGE gels for good resolution of this 116 kDa protein
Sample preparation: HeLa or HEK293 cell lysates serve as reliable positive controls
Loading amount: 15-50 μg of total protein per lane has been successfully used
Antibody dilution: Start with 1:1000 and adjust based on signal strength
Controls: Consider EFTUD2 knockdown samples as negative controls, though complete knockout may be lethal in some cell types
Detection system: Both chemiluminescence and fluorescence-based systems work well
Observe that some EFTUD2 antibodies may detect the protein at a slightly higher observed molecular weight (122 kDa) than the calculated weight (116 kDa) .
For successful immunofluorescence with EFTUD2 antibodies:
Cell selection: HepG2 cells have been validated for IF applications with EFTUD2 antibodies
Fixation method: Both paraformaldehyde (4%) and methanol fixation can work; optimize for your specific antibody
Expected localization: Primarily nuclear staining where splicing occurs
Validation: Use Iba1 co-staining when working with microglial cell models like BV2
Controls: Consider EFTUD2 knockdown cells as negative controls
Counter-staining: Nuclear staining (DAPI/Hoechst) helps confirm nuclear localization
Since EFTUD2 functions in pre-mRNA splicing, treatment of cells with splicing inhibitors prior to fixation can provide interesting insights and serve as functional controls.
EFTUD2 has demonstrated antiviral activity, particularly against HBV. To study this function:
Cell models: Utilize HepG2.2.15 cells with integrated HBV genome
Knockout/knockdown approach: Generate EFTUD2+/- cells using CRISPR-Cas9 or siRNA, confirming reduction via Western blot with EFTUD2 antibodies
Viral parameters: Measure HBV DNA replication, HBeAg and HBsAg secretion, and HBcAg expression before and after manipulation of EFTUD2 levels
Interferon treatment: Add IFN-α (5000 IU/mL has been used successfully) to examine EFTUD2's role in interferon-mediated antiviral responses
RNA analysis: Perform RNA-seq to identify differentially expressed genes following EFTUD2 manipulation
Protein analysis: Use EFTUD2 antibodies in combination with antibodies against ISGs (Mx1, OAS1, PKR) to assess downstream effects
These approaches have revealed that EFTUD2 promotes IFN-associated anti-HBV activity by regulating ISG expression through pre-mRNA splicing .
EFTUD2 has been identified as a potential oncogene in hepatocellular carcinoma (HCC). To investigate its role:
Expression analysis: Perform IHC with EFTUD2 antibodies on tissue microarrays comparing tumor and normal tissues
Prognostic evaluation: Correlate EFTUD2 expression levels with patient survival and recurrence data
Functional studies: Create knockdown/overexpression models and validate using EFTUD2 antibodies via Western blot
Pathway analysis: Combine EFTUD2 antibodies with phospho-STAT3 antibodies to examine activation of oncogenic signaling
Phenotypic assays: After confirming EFTUD2 modulation with antibodies, assess effects on cell viability, cell cycle progression, apoptosis, and metastatic potential
Mechanistic investigation: Conduct RNA-seq followed by gene set enrichment analysis (GSEA) to identify pathways enriched in EFTUD2-overexpressing cells
To investigate EFTUD2's splicing regulatory functions:
RNA immunoprecipitation: Use EFTUD2 antibodies to isolate associated RNA complexes, followed by sequencing to identify bound pre-mRNAs
Splicing analysis: After EFTUD2 knockdown (confirmed with antibodies), perform RT-PCR or RNA-seq to identify differentially spliced transcripts
Isoform quantification: Examine how EFTUD2 modulation affects the ratio of protein-coding versus non-coding transcript variants of target genes
Rescue experiments: Perform overexpression of EFTUD2 in knockdown cells to restore splicing patterns, validating with EFTUD2 antibodies
GTPase activity assessment: Create GTPase-deficient EFTUD2 mutants and compare splicing outcomes to wild-type, confirming expression with antibodies
Studies using these approaches have shown that EFTUD2 single allele knockout influenced the frequency of IFN-induced Mx1, OAS1, and PKR variant mRNA expressions, with protein-coding transcripts decreasing and non-protein coding transcripts increasing in EFTUD2+/- cells .
EFTUD2 regulates immune responses through alternative splicing of key signaling components. To study this:
Model selection: Use relevant immune cells (macrophages, BV2 microglial cells) or challenge hepatocytes with immune stimuli
Knockdown approach: Transfect cells with EFTUD2 siRNA using Lipofectamine RNAimax for 3 days to ensure stable knockdown, confirming with antibodies
Stimulation conditions: Challenge cells with inflammatory stimuli like LPS (1 μg/μL) for 12-24 hours
Signaling pathway analysis: Examine how EFTUD2 modulation affects MyD88 and TLR signaling pathways using relevant antibodies
ISG expression analysis: Measure expression of interferon-stimulated genes after EFTUD2 manipulation using both RNA and protein methods
SNP analysis: Investigate how polymorphisms like rs3809756 in the EFTUD2 gene affect protein expression and function using genotype-specific samples
Research has shown that EFTUD2 regulates the innate immune response through alternative splicing of MyD88 and influences microglial activation in inflammatory conditions .
To ensure EFTUD2 antibody specificity:
Positive controls: Use HeLa, HEK293, or HepG2 cells which are known to express EFTUD2
Negative controls: Implement EFTUD2 knockdown via siRNA (complete knockout may be lethal)
Expected molecular weight: Confirm detection at the expected 116-122 kDa
Blocking peptides: If available, pre-incubate antibody with the immunogen peptide to block specific binding
Multiple antibodies: Use antibodies targeting different epitopes of EFTUD2 to confirm results
Multiple techniques: Validate findings across different applications (WB, IF, IP)
Cross-reactivity assessment: Test in cells from multiple species if working with non-human models
If working with developmental or neurological disorders associated with EFTUD2 mutations, consider comparing antibody reactivity between wild-type and mutant EFTUD2 proteins.
Researchers may encounter several challenges when working with EFTUD2 antibodies:
Lethality of complete knockout: Complete EFTUD2 knockout appears lethal in some cell types, so use conditional or inducible systems, or single allele knockout approaches
Multiple isoforms: EFTUD2 has multiple transcript variants; verify which isoforms your antibody detects
High molecular weight: The large size (116 kDa) requires longer transfer times in Western blotting and lower percentage gels
Nuclear localization: For IF applications, ensure proper permeabilization to access nuclear EFTUD2
Post-translational modifications: These may affect antibody recognition; consider phosphatase treatment if inconsistent results occur
Batch-to-batch variation: Polyclonal antibodies may show variation; monoclonal alternatives like clone AB03/1B9 offer greater consistency
Expression level differences: EFTUD2 expression may vary by cell type or condition; adjust antibody concentration accordingly
Always include appropriate controls and perform thorough validation before conducting critical experiments.
When encountering conflicting results while studying EFTUD2:
Antibody epitope comparison: Different antibodies target different regions (center region, AA 1-205, AA 257-284), potentially explaining discrepancies
Cell type differences: EFTUD2 function may vary between cell types; HepG2.2.15 cells show different responses than neuronal or immune cells
Condition-dependent effects: EFTUD2's role in viral infection or cancer may manifest differently depending on experimental conditions or disease stage
Gene dosage effects: Single allele knockout (EFTUD2+/-) shows specific phenotypes that may differ from overexpression models
Pathway interconnections: EFTUD2 affects multiple pathways (JAK/STAT, IFN response, EMT); context determines which predominates
RNA vs. protein level discrepancies: Changes in splicing patterns may not always correlate with protein abundance
Experimental timing: The temporal dynamics of EFTUD2 function, particularly in response to stimuli like IFN, may lead to different outcomes depending on assessment timing