RFPL2 (also known as RNF79) is a 378-amino-acid protein encoded by the RFPL2 gene cluster on human chromosome 22q12.2-q13.3. It shares 95–96% sequence identity with RFPL1 and RFPL3, forming a cluster linked to primate neocortex evolution . Key features include:
The antibody recognizes epitopes within amino acids 50–150 or other regions, depending on the product .
RFPL2 Antibody is optimized for detecting RFPL2 in lysates from cell lines (e.g., NT2D1, IMR32) and tissues . Critical protocol considerations:
Positive Controls: NT2D1 (neuroblastoma), IMR32 (neuroblastoma), U87-MG (glioblastoma), MCF-7 (breast cancer) .
Studies highlight RFPL2’s role in primate neocortex development:
Positive Selection: Accelerated evolution in Catarrhini (primates) with neofunctionalization events, including a novel N-terminal motif .
Expression Divergence: Human neocortex shows elevated RFPL2 expression compared to chimpanzee or macaque, correlating with cortical expansion .
Cellular Localization: Primarily in nuclear speckles, with plasma membrane association in certain contexts .
Cross-Reactivity: No reported cross-reactivity with non-target proteins in WB .
Caution: Sodium azide in formulations may pose handling risks .
While RFPL2 Antibody is not used diagnostically, its research applications inform potential therapeutic avenues:
RFPL2 (Ret Finger Protein-Like 2) is a human protein that has garnered interest in various research contexts. Antibodies targeting this protein serve as essential tools for investigating its expression, localization, and function in cellular pathways. The protein contains several distinct regions, including conserved C-terminal domains and specific amino acid sequences that can be targeted by different antibodies . Research applications primarily focus on detecting and quantifying RFPL2 expression in human tissues and cell lines, which requires highly specific antibody reagents that can recognize different epitopes within the protein structure.
Available RFPL2 antibodies predominantly consist of rabbit-derived polyclonal antibodies with varying binding specificities targeting different regions of the protein. Most common are those directed against the C-terminal region and specific amino acid sequences (such as AA 50-150, AA 99-378, AA 58-263, and others) . These antibodies are typically unconjugated and validated for Western blotting applications. The immunogens used for generation are synthetic peptides corresponding to specific sequences within the human RFPL2 protein. The choice between these different epitope-specific antibodies depends on the experimental question and the specific protein domain of interest to researchers.
RFPL2 antibodies target various epitopes along the protein sequence, with each offering unique advantages for specific research applications. For example:
| Antibody Target Region | Amino Acid Position | Main Applications | Species Reactivity | Characteristics |
|---|---|---|---|---|
| C-Terminal Region | C-Term | Western Blotting | Human, Rabbit | Validated on cell lysate as positive control |
| Mid-sequence | AA 50-150 | Western Blotting | Human, Rat | Recognizes unique sequence signature |
| Extended region | AA 99-378 | WB, ELISA, IHC | Human | Broader epitope recognition |
| Specific internal region | AA 58-263 | Western Blotting | Human | Mid-protein targeting |
The C-terminal targeting antibodies (like ABIN2774007) recognize the sequence "VSFFDAESGS HVYTFRSVSA EEPLRPFLAP SVPPNGDQGV LSICPLMNSG" and have predicted reactivity of 100% for human and 85% for rabbit samples . Antibodies targeting the AA 50-150 region (like ABIN7269923) recognize the sequence "PMSLECGCAV CLKCINSLQK EPHGEDLLCC CSSMVSRKNK IRRNRQLERL ASHIKELEPK LKKILQMNPR MRKFQVDMTL DANTANNFLL ISDDLRSVRS G" with cross-reactivity to both human and rat samples .
RFPL2 antibodies are primarily validated for Western blotting (WB), which remains the gold standard for detecting and semi-quantitatively analyzing this protein in cell and tissue lysates. Some antibody variants also support additional applications including Enzyme-Linked Immunosorbent Assay (ELISA) and Immunohistochemistry (IHC) . For Western blotting, typical dilutions range from 1:500 to optimal working concentrations determined by titration experiments. When designing experiments, researchers should carefully match their application needs with the validated applications of specific antibodies, as not all RFPL2 antibodies perform equally across different experimental platforms.
Proper validation of RFPL2 antibodies requires multiple approaches to confirm specificity and sensitivity:
Positive control verification: Use cell lysates known to express RFPL2, as commercial antibodies are typically validated using such controls .
Cross-reactivity assessment: Test samples from different species based on the predicted reactivity (e.g., human samples for antibodies with 100% predicted reactivity and rabbit samples for those with 85% predicted reactivity) .
Blocking experiments: Pre-incubate the antibody with its immunizing peptide to confirm binding specificity.
Comparative analysis: When possible, use multiple antibodies targeting different epitopes of RFPL2 to cross-validate results.
Molecular weight verification: Confirm detection of bands at the expected molecular weight for RFPL2.
This multi-faceted validation strategy ensures that experimental results accurately reflect RFPL2 expression and not cross-reactive artifacts.
For successful Western blotting with RFPL2 antibodies, researchers should optimize several critical parameters:
Sample preparation: Complete lysis buffers containing protease inhibitors help preserve protein integrity.
Protein loading: Typically 10-30 μg of total protein per lane provides adequate signal while minimizing background.
Antibody dilution: Start with the manufacturer's recommended dilution (e.g., 1:500 for ABIN7269923) and optimize as needed .
Blocking conditions: 5% non-fat dry milk or BSA in TBST (Tris-buffered saline with 0.1% Tween-20) for 1 hour at room temperature usually provides optimal blocking.
Incubation time: Primary antibody incubation overnight at 4°C typically yields the best signal-to-noise ratio.
Detection system: Enhanced chemiluminescence (ECL) systems are generally suitable for visualizing RFPL2 antibody binding.
Optimization of these parameters for each specific antibody and experimental system is crucial for obtaining reliable and reproducible results.
Recent advances in computational modeling have revolutionized antibody design, including those targeting RFPL2. Biophysics-informed models can predict and generate specific antibody variants with customized binding profiles that go beyond what is observed in experimental training sets . These computational approaches:
Identify distinct binding modes associated with particular ligands, enabling the disentanglement of complex binding profiles.
Predict cross-specificity or high specificity for particular targets, allowing researchers to design antibodies with precisely defined binding properties.
Mitigate experimental artifacts and biases that may arise in traditional selection experiments.
For RFPL2 research, these computational methods offer the potential to design antibodies with high specificity for particular regions or isoforms of the protein, enhancing experimental precision and reliability .
The RFPL family includes several related proteins that share sequence homology, presenting challenges for antibody specificity. When investigating RFPL2 specifically, researchers should:
Sequence alignment analysis: Perform comparative sequence analysis between RFPL family members to identify unique epitopes specific to RFPL2.
Specificity testing: Test antibodies against recombinant proteins or cell lines expressing different RFPL family members to confirm selective recognition of RFPL2.
Knockout/knockdown validation: Use RFPL2 knockout or knockdown samples as negative controls to confirm antibody specificity.
Epitope mapping: Consider epitope mapping to identify the exact binding sites of antibodies and evaluate potential cross-reactivity with other RFPL family members.
These approaches help ensure that experimental results genuinely reflect RFPL2-specific signals rather than cross-reactivity with related family members.
Phage display technology offers significant advantages for developing highly specific RFPL2 antibodies:
Library generation: Creation of diverse antibody libraries where CDR3 (complementarity-determining region 3) positions are systematically varied to generate numerous potential binding specificities .
Selection process: Sequential rounds of selection against RFPL2 epitopes enable the identification of high-affinity binders.
High-throughput screening: Integration with next-generation sequencing allows comprehensive characterization of selected antibodies.
Computational analysis: Biophysics-informed models can analyze selection results to identify antibodies with desired binding profiles, even for very similar epitopes .
This combined experimental-computational approach enables the design of RFPL2 antibodies with customized specificity profiles, either highly specific for particular epitopes or cross-reactive with multiple targets based on research requirements .
Researchers frequently encounter specific challenges when working with RFPL2 antibodies:
Non-specific bands: May result from cross-reactivity with related proteins. Solution: Use more stringent washing conditions and optimize antibody concentration.
Weak signal: Could indicate low RFPL2 expression or suboptimal detection conditions. Solution: Increase protein loading, optimize antibody concentration, or use enhanced detection systems.
Background issues: Often caused by insufficient blocking or washing. Solution: Extend blocking time, use alternative blocking agents, or increase wash duration and stringency.
Inconsistent results: May stem from sample degradation or antibody variability. Solution: Ensure consistent sample handling and storage, use the same antibody lot when possible, and incorporate appropriate controls in each experiment.
Species cross-reactivity differences: Different antibodies show varying cross-reactivity profiles. Solution: Select antibodies validated for your species of interest and verify with appropriate controls .
Systematic optimization and careful control implementation can address most of these common challenges.
When different RFPL2 antibodies yield conflicting results, consider a systematic approach to resolution:
Epitope mapping: Determine if antibodies target different regions of RFPL2 that might be differentially accessible in various experimental contexts.
Protein modification analysis: Assess whether post-translational modifications might affect epitope recognition by different antibodies.
Isoform specificity: Evaluate whether antibodies may have different specificities for RFPL2 isoforms.
Validation hierarchy: Prioritize results from antibodies with more extensive validation data and multiple validation methods.
Orthogonal techniques: Employ non-antibody-based methods (e.g., mass spectrometry, RNA analysis) to resolve conflicting protein detection results.
This structured approach helps researchers determine which antibodies provide the most reliable results for their specific experimental system and research question.
When investigating RFPL2 protein interactions:
Antibody compatibility: Select RFPL2 antibodies with epitopes unlikely to interfere with potential protein interaction sites.
Co-immunoprecipitation optimization: Adjust lysis conditions to preserve protein-protein interactions while maintaining antibody binding efficiency.
Crosslinking considerations: Consider whether chemical crosslinking might be necessary to stabilize transient interactions before immunoprecipitation.
Control experiments: Include isotype controls, peptide blocking controls, and RFPL2-depleted samples as appropriate negative controls.
Proximity ligation assays: Consider this technique for detecting protein interactions in situ with high sensitivity and specificity.
These methodological considerations help ensure that protein interaction studies accurately reflect the biological behavior of RFPL2 rather than experimental artifacts.
Emerging technologies offer promising avenues for advancing RFPL2 antibody development and application:
Single-domain antibodies: Smaller antibody formats may access epitopes unavailable to conventional antibodies, potentially providing new insights into RFPL2 structure and function.
Computational design approaches: Advanced algorithms integrating structural and sequence data can design antibodies with unprecedented specificity for particular RFPL2 epitopes or conformations .
In vitro evolution techniques: Methods beyond traditional phage display, such as yeast display and ribosome display, may yield RFPL2 antibodies with superior properties.
Antibody engineering: Site-specific modifications and fragment generation could produce RFPL2 antibodies optimized for particular applications like super-resolution microscopy.
These technological advances promise to expand the repertoire of research tools available for studying RFPL2 biology with increased precision and versatility.
While current RFPL2 antibody applications focus primarily on basic research, several translational directions show promise:
Biomarker development: If RFPL2 expression correlates with specific disease states, antibodies could serve as diagnostic tools.
Therapeutic targeting: Should RFPL2 emerge as a therapeutic target, antibodies with specific binding properties could form the foundation for developing therapeutic antibodies.
Imaging applications: Development of conjugated RFPL2 antibodies might enable in vivo imaging to track RFPL2 expression in disease models.
Drug discovery: RFPL2 antibodies could facilitate high-throughput screening of compounds that modulate RFPL2 expression or function.
As understanding of RFPL2 biology advances, the translational potential of these antibodies will likely expand, potentially extending beyond current research applications into clinical domains.