CELF2 antibodies enable visualization of protein localization in fixed cells. For example:
HeLa cells: CELF2 staining shows nuclear and cytoplasmic distribution, with higher intensity in the nucleus .
MCF-7 cells: Flow cytometry confirms membrane-permeable detection post-fixation .
Application: Quantitative analysis of CELF2 expression in cell populations.
Protocol:
Use Case: Confirming protein size and isoform detection.
Results: Antibodies detect CELF2 isoforms (~60–70 kDa) in lysates from human cell lines (e.g., HeLa, MCF-7) .
CELF2 modulates alternative splicing of targets like SMN2 (survival motor neuron 2), influencing neurodevelopmental disorders . Antibodies have been used to:
Immunoprecipitate CELF2-bound RNA complexes to identify splicing targets.
Validate knockdown/knockout models in studies of splicing defects .
While CELF2 antibodies are not directly therapeutic, their utility in studying RNA-binding proteins in oncology is growing:
Mechanism: CELF2 may regulate mRNA stability of pro-metastatic genes.
Limitations: No direct evidence of anti-CELF2 antibodies in cancer therapy to date .
| Antibody Type | Clone/Source | Epitope | Applications | Reactivity |
|---|---|---|---|---|
| Monoclonal | PCRP-CELF2-1E4 | Full-length protein | IF, FACS, WB | Human, Zebrafish |
| Polyclonal | Rabbit AA 73–122 | N-Terminal | IHC, WB | Human, Mouse, Rat |
| Polyclonal | Rabbit AA 481–508 | C-Terminal | ELISA (HRP-conjugated) | Human |
Polyclonal antibodies may exhibit non-specific binding to related CELF family proteins (e.g., CELF1, CELF3) .
Monoclonal antibodies (e.g., PCRP-CELF2-1E4) show higher specificity but require validation in diverse cell types .
While CELF2 antibodies are primarily research tools, insights into RNA-binding protein dynamics could inform:
CELF2 is an RNA-binding protein that has gained attention in cancer research, particularly in glioblastoma studies. Its significance stems from its high expression levels in proliferating OLIG2-positive glioblastoma cells and its apparent oncogenic role in promoting stemness and proliferation of glioblastoma cells. The protein exemplifies intra-tumor heterogeneity in glioblastoma, making it an important target for understanding tumor complexity and potential therapeutic interventions .
Researchers can utilize several types of antibodies targeting CELF2: monoclonal (derived from a single cell clone), polyclonal (derived from immune cells of an animal), and recombinant antibodies (derived from synthetic genes). Each type offers different characteristics in terms of specificity, batch-to-batch consistency, and application suitability. Among these, recombinant antibodies have demonstrated superior performance in recent third-party testing for specificity across multiple applications .
When selecting a CELF2 antibody, consider:
The specific epitope recognition site, especially important for membrane-spanning antigens
Previous validation in your intended application (western blot, immunofluorescence, immunoprecipitation)
The clonality and host species, which affect downstream detection methods
Published literature demonstrating successful application in similar experimental contexts
Validation data showing specificity using positive and negative controls, particularly knockout cell lines
A robust antibody validation experiment should include:
Positive controls: Cell lines known to express high levels of CELF2 mRNA
Negative controls: Preferably CELF2 knockout cells created using CRISPR-Cas9
Multiple detection methods: Western blot, immunofluorescence, and immunoprecipitation to confirm specificity across applications
Isotype controls: Antibodies of the same class as the primary antibody but with no specificity for CELF2
Secondary antibody controls: Cells treated with only the labeled secondary antibody to address non-specific binding
The optimal protocol depends on the cellular localization of CELF2 and the specific epitope recognized by your antibody:
For extracellular epitopes: Cells can remain unfixed or undergo mild fixation without permeabilization
For intracellular epitopes: Cells require both fixation and permeabilization
Fixation agents (paraformaldehyde, methanol, acetone) should be selected based on their compatibility with the epitope structure
Permeabilization agents (Triton X-100, saponin, digitonin) vary in their effect on different cellular compartments and should be chosen accordingly
When performing flow cytometry with CELF2 antibodies:
Maintain cell concentration between 10^5 to 10^6 cells/mL to avoid clogging and ensure good resolution
Consider starting with higher cell numbers (10^7 cells/tube) if multiple washing steps are involved
Perform all steps on ice to prevent internalization of membrane antigens
Use PBS with 0.1% sodium azide to inhibit internalization
Conduct cell count and viability check before sample preparation, ensuring viability >90%
Include appropriate unstained, negative cell, isotype, and secondary antibody controls
To reduce non-specific binding:
Use appropriate blocking agents (10% normal serum from the same host species as the labeled secondary antibody)
Ensure the blocking serum is NOT from the same host species as the primary antibody
Reduce concentration of primary antibody
Increase washing time and volume
Use detergents like Tween-20 in wash buffers to reduce hydrophobic interactions
Consider pre-adsorbing the antibody against tissues or cell lines lacking CELF2 expression
Verification strategies include:
Western blotting to confirm the correct molecular weight
Using CELF2 knockout or knockdown cells as negative controls
Comparing staining patterns with published results and antibody validation data
Testing multiple antibodies targeting different epitopes of CELF2
Performing peptide competition assays to demonstrate specificity
RNA-protein correlation studies comparing protein detection with mRNA expression data
Common pitfalls include:
Relying solely on vendor-provided validation data without independent verification
Using antibodies validated for one application in a different experimental context
Neglecting appropriate controls, particularly negative controls
Failing to report antibody catalog numbers and validation procedures in publications
Over-interpreting results without considering potential cross-reactivity
Using citation frequency as the sole criterion for antibody selection
To avoid these issues, researchers should perform thorough validation, include all necessary controls, and fully document antibody information in publications .
CELF2 antibodies can be applied to:
Multiplex immunofluorescence analysis combined with other markers like OLIG2 to identify specific cell populations within tumors
Flow cytometry for quantitative assessment of CELF2 expression in different tumor cell subpopulations
Single-cell protein analysis to correlate with single-cell RNA sequencing data
Spatial transcriptomics coupled with immunohistochemistry to map CELF2 expression across tumor microenvironments
Patient-derived xenograft models to track CELF2-expressing cells during tumor progression
Advanced methodological approaches include:
Immunofluorescence co-staining with stem cell markers to identify CELF2-positive stem cell populations
Proximity ligation assays to detect CELF2 interactions with other RNA-binding proteins
Immunoprecipitation followed by RNA sequencing (RIP-seq) to identify CELF2-bound RNAs in glioma stem cells
CELF2 knockout or knockdown studies in patient-derived glioma stem cells to assess functional outcomes
In vivo limiting dilution assays with CELF2-manipulated cells to assess stemness properties
Integration strategies include:
Correlating CELF2 protein levels detected by antibodies with mRNA expression from RNA sequencing
Comparing CELF2 protein expression patterns with alternative splicing events identified in RNA-seq data
Using immunoprecipitation with CELF2 antibodies followed by mass spectrometry to identify protein interaction networks
Creating multi-omics datasets that incorporate CELF2 protein localization, RNA-binding targets, and downstream pathway activation
Developing computational models that predict CELF2 function based on integrated protein expression and genomic data
Selection criteria should include:
Independent third-party validation data
Performance across multiple applications (western blot, immunofluorescence, immunoprecipitation)
Validation using knockout negative controls
Clear documentation of the epitope and immunogen
Batch-to-batch consistency (particularly important for polyclonal antibodies)
Reproducibility of results in multiple laboratories
Comprehensive validation data rather than citation frequency alone
Based on comprehensive testing:
Recombinant antibodies generally demonstrate superior performance across multiple applications
Only about one-third of polyclonal and monoclonal antibodies successfully recognize their target in the applications they're recommended for
Monoclonal antibodies offer consistency but may be sensitive to epitope changes
Polyclonal antibodies recognize multiple epitopes but show batch-to-batch variation
Recombinant antibodies combine specificity with reproducibility and can be produced indefinitely in large quantities
Knockout validation using CRISPR-Cas9 engineered cell lines is the gold standard for antibody specificity testing. This approach:
Definitively confirms antibody specificity by comparing signal in wild-type versus gene-knockout cells
Identifies false positive signals that may be attributed to cross-reactivity
Validates antibodies across multiple applications under identical conditions
Provides critical negative controls for experimental interpretation
Researchers can access knockout cell lines through: