| Cell Line | Detection | Dilution | Reference |
|---|---|---|---|
| A549 | 25 kDa band | 1:2,000 | |
| Jurkat | 25 kDa band | 1:5,000 | |
| LNCap | 25 kDa band | 1:10,000 |
The monoclonal antibody (68546-1-Ig) shows consistent detection across multiple human cell lines .
The polyclonal antibody (ABIN2777047) is validated for WB in human samples, with cross-reactivity predicted in cow (85%), mouse (79%), and rat (93%) .
RPAIN antibodies are pivotal for studying DNA repair mechanisms and RPA dynamics. Key applications include:
Nuclear Transport Studies: Tracking RPAIN’s role in RPA shuttling using immunofluorescence or subcellular fractionation .
Protein Interaction Mapping: Co-immunoprecipitation (Co-IP) to identify RPAIN-binding partners .
Therapeutic Exploration: Intrabodies (intracellular antibodies) targeting RPAIN could modulate DNA repair pathways in oncology or autoimmune diseases, as suggested by advances in antibody delivery systems .
Validation: Proteintech’s antibody is cited in the Validated Antibody Database (VAD), which aggregates peer-reviewed validation data .
Storage:
Research on RPAIN antibodies could expand into:
RPAIN (RPA Interacting Protein, also known as RIP) serves as a specialized nuclear transporter of the Replication Protein A (RPA) complex. Unlike conventional nuclear import mediated by importin proteins, RPAIN functions as an adapter protein that facilitates the import of the RPA complex into the nucleus, likely through interactions with importin beta . The RPA complex itself is a critical single-stranded DNA binding protein involved in numerous eukaryotic DNA processes including replication, repair, and recombination .
RPAIN exists in multiple isoforms with varying cellular localizations and functions:
The longer isoform (hRIPα) primarily localizes to the cytoplasm and shuttles between cytoplasm and nucleus to transport RPA
The shorter isoform (hRIPβ) is sumoylated and localizes specifically to promyelocytic leukemia (PML) nuclear bodies, potentially mediating the localization of the RPA complex into these structures
This strategic localization suggests RPAIN plays a critical role in DNA metabolism by ensuring RPA is available where needed within the nuclear compartment.
RPAIN exhibits several important molecular characteristics relevant to research applications:
The discrepancy between calculated and observed molecular weights likely reflects post-translational modifications such as sumoylation in certain isoforms, particularly in isoform 2 localized to PML nuclear bodies .
Several validated RPAIN antibodies are available for researchers, including both polyclonal and monoclonal options:
| Antibody Type | Catalog Example | Host | Isotype | Reactivity | Applications |
|---|---|---|---|---|---|
| Polyclonal | 15220-1-AP | Rabbit | IgG | Human, Mouse | WB, IP, IHC, ELISA |
| Monoclonal | 68546-1-Ig | Mouse | IgG1 | Human | WB, ELISA |
| Monoclonal | OTI4F7 | Mouse | IgG | Human | WB |
| Polyclonal | A11439 | Rabbit | IgG | Human, Mouse, Rat | ELISA, WB, IHC |
When selecting an antibody, consider the specific experimental application, required species reactivity, and whether polyclonal (offering broader epitope recognition) or monoclonal (offering higher specificity) characteristics better suit your research needs .
For successful Western blot detection of RPAIN, consider the following optimized protocol parameters:
| Antibody | Recommended Dilution | Expected Band Size | Sample Types Verified |
|---|---|---|---|
| 15220-1-AP (Polyclonal) | 1:200-1:1000 | 30-45 kDa | A375 cells, mouse ovary tissue, A2780 cells |
| 68546-1-Ig (Monoclonal) | 1:2000-1:10000 | 25 kDa | A549, Jurkat, A2780, LNCap, K-562 cells |
| A11439 (Polyclonal) | 1-2 μg/mL | 68 kDa | Jurkat cell lysate |
Methodological recommendations:
Protein extraction should include protease inhibitors to prevent degradation
Include phosphatase inhibitors if investigating phosphorylated forms of RPAIN
For detecting multiple isoforms, use gradient gels (4-20%) for better resolution
Consider using RIPA buffer for enhanced extraction efficiency
When analyzing nuclear vs. cytoplasmic distribution of RPAIN isoforms, perform subcellular fractionation prior to Western blot
Use appropriate positive controls (A375 or Jurkat cells are recommended)
Remember that the observed molecular weight may vary depending on post-translational modifications and the specific isoform being detected. The publication with PMID: 16135809 reported molecular weights of 30 and 45 kDa, which may represent different isoforms or modified versions of RPAIN .
For successful IHC applications with RPAIN antibodies, follow these research-validated protocols:
For polyclonal antibody 15220-1-AP:
Recommended dilution: 1:20-1:200
Antigen retrieval: Use TE buffer pH 9.0 (primary recommendation) or citrate buffer pH 6.0
Verified positive tissues: Human ovary tumor tissue
Consider testing multiple concentrations as optimal dilution may be sample-dependent
For polyclonal antibody A11439:
Recommended starting concentration: 2.5 μg/mL
Verified positive tissues: Mouse stomach tissue
General methodological considerations:
Include appropriate positive and negative controls (human ovary tumor tissue is recommended as a positive control)
For formalin-fixed paraffin-embedded (FFPE) tissues, ensure complete deparaffinization
Include blocking steps to reduce nonspecific binding
Consider the use of amplification systems for detecting low-abundance targets
For dual staining to differentiate isoforms, test antibodies raised in different host species
Optimizing incubation time and temperature may be necessary for specific tissue types. Always validate new tissue types with known positive controls before proceeding with experimental samples .
For successful immunoprecipitation (IP) of RPAIN:
Antibody recommendation: Use polyclonal antibody 15220-1-AP at 0.5-4.0 μg per 1.0-3.0 mg of total protein lysate
Verified positive sample: A375 cells have been confirmed for successful IP applications
Protocol considerations:
Pre-clear lysates with protein A/G beads to reduce non-specific binding
Form antibody-protein complexes by overnight incubation at 4°C
Wash stringently to remove non-specific interactions
For detecting RPAIN interactions with RPA complex components, consider crosslinking before lysis
For studying sumoylated isoforms, include N-ethylmaleimide in lysis buffers to inhibit SUMO proteases
IP experiments can be particularly valuable for studying RPAIN's interactions with the RPA complex and other proteins involved in DNA replication and repair pathways, as well as for identifying post-translational modifications on different RPAIN isoforms .
Distinguishing between RPAIN isoforms requires strategic experimental approaches:
Western blot differentiation:
Use gradient gels (4-20%) for optimal separation of different molecular weight isoforms
The longer isoform (hRIPα) typically appears at 25-27 kDa
The shorter isoforms appear at 16-19 kDa and 12 kDa
Sumoylated isoform 2 (hRIPβ) may appear at higher molecular weights (30-45 kDa)
Subcellular localization:
Perform cellular fractionation to separate cytoplasmic and nuclear components
The longer isoform (hRIPα) should predominantly appear in cytoplasmic fractions
The sumoylated isoform 2 (hRIPβ) should predominantly localize to nuclear fractions
Immunofluorescence approach:
Co-stain with PML nuclear body markers to identify isoform 2
Use antibodies that can detect different epitopes specific to each isoform
Consider using overexpression systems with tagged versions of specific isoforms as positive controls
When interpreting results, remember that the relative abundance of isoforms may vary between different cell types and under different cellular conditions (e.g., cell cycle phase, DNA damage response) .
When investigating RPAIN's function in DNA damage response pathways:
When encountering variable results with RPAIN antibodies:
Sample preparation issues:
RPAIN isoforms may degrade quickly; use fresh samples and include protease inhibitors
For nuclear isoforms, ensure proper subcellular fractionation techniques
Consider the expression level of RPAIN in your specific cell line/tissue (may require optimization of loading amounts)
Antibody selection considerations:
Different antibodies may preferentially recognize specific isoforms or epitopes
Solution: Use multiple antibodies targeting different regions of RPAIN
Monoclonal antibodies (like 68546-1-Ig) offer high specificity but might miss some isoforms
Polyclonal antibodies (like 15220-1-AP) recognize multiple epitopes but may show more background
Protocol optimization:
For Western blot: Adjust transfer conditions for different molecular weight isoforms
For IHC: Test multiple antigen retrieval methods (TE buffer pH 9.0 vs. citrate buffer pH 6.0)
For low abundance: Consider using signal amplification systems
Validation approaches:
To effectively study RPAIN's role in RPA nuclear transport:
Recommended cellular systems:
Cell lines with well-characterized nuclear import mechanisms (U2OS, HeLa)
Cell types that undergo extensive DNA replication and repair (proliferating cells)
Methodological approaches:
Fluorescence microscopy with tagged RPA subunits to track localization
RPAIN knockdown/knockout to assess impact on RPA nuclear import
Complementation with different RPAIN isoforms to determine isoform-specific functions
Co-immunoprecipitation to detect RPAIN-importin β and RPAIN-RPA interactions
In vitro nuclear import assays using permeabilized cells
Key experimental controls:
General import inhibitors (e.g., wheat germ agglutinin) as positive controls for import blockade
Importin β knockdown to distinguish RPAIN-specific vs. general import defects
Cell cycle synchronization to normalize for cell cycle effects on nuclear import
Advanced approaches:
FRAP (Fluorescence Recovery After Photobleaching) to measure import kinetics
Proximity ligation assays to detect RPAIN-RPA interactions in situ
Structure-function analysis using RPAIN mutants lacking specific interaction domains
Mass spectrometry to identify post-translational modifications regulating RPAIN transport activity
When encountering variation in RPAIN molecular weight observations:
Source of variability:
Multiple isoforms with different base molecular weights (25-27 kDa, 16-19 kDa, 12 kDa)
Post-translational modifications, particularly sumoylation of isoform 2
Different gel systems and protein standards can affect apparent molecular weight
Publication PMID:16135809 reported molecular weights of 30 and 45 kDa
Analytical approach:
Compare observed weights with calculated weights (25 kDa theoretical)
Consider running isoform-specific recombinant standards
Use phosphatase/desumoylase treatment to identify contribution of modifications
Verify with mass spectrometry for absolute molecular weight determination
Experimental validation:
For robust quantification of RPAIN expression changes:
Recommended quantification methods:
Densitometry analysis of Western blots (normalize to stable housekeeping proteins)
qRT-PCR for mRNA level changes (use multiple reference genes)
Quantitative immunofluorescence (measure mean fluorescence intensity)
Statistical approaches:
For comparing two conditions: Student's t-test (paired when appropriate)
For multiple conditions: ANOVA with appropriate post-hoc tests
For non-normally distributed data: Non-parametric tests like Mann-Whitney U or Kruskal-Wallis
Include power analysis to determine appropriate sample size
Experimental design considerations:
Perform at least three biological replicates
Include technical replicates within each biological replicate
Use blinding procedures when possible to prevent bias
Consider the use of positive controls (known inducers of RPAIN expression changes)
Addressing common analytical challenges:
When multiple isoforms are present, analyze each band separately
For comparing across different cell types, consider relative fold changes rather than absolute values
Account for differences in antibody affinity when comparing different RPAIN isoforms
Consider normalization to total protein loading (e.g., using stain-free technology) rather than single housekeeping proteins
To effectively investigate RPAIN's role in DNA repair pathways:
Experimental design strategies:
Co-immunoprecipitation of RPAIN with RPA and other repair factors
Proximity ligation assay (PLA) to detect protein-protein interactions in situ
Chromatin immunoprecipitation (ChIP) to detect RPAIN recruitment to damaged DNA
FRET/BRET approaches for real-time interaction monitoring
DNA damage induction methods:
UV irradiation (global genomic nucleotide excision repair)
Micro-irradiation with laser (localized damage for live imaging)
Chemical agents (cisplatin, MMS, hydroxyurea) for specific damage types
Consider time-course experiments to capture transient interactions
Critical controls:
Include both damaged and undamaged conditions
Use RPA subunit knockdown to confirm specificity of interactions
Include known RPA interactors as positive controls
For protein-protein interactions, consider reciprocal co-IP experiments
Advanced analytical approaches:
For developing next-generation isoform-specific RPAIN antibodies:
Epitope selection strategies:
Target unique sequence regions specific to each isoform
For hRIPα (cytoplasmic isoform), target unique C-terminal sequences
For hRIPβ (nuclear isoform), target regions containing or adjacent to sumoylation sites
Consider generating phospho-specific antibodies if isoforms differ in phosphorylation status
Production approaches:
Recombinant antibody technology for higher specificity
Phage display screening against specific isoforms
Consider nanobodies for accessing sterically hindered epitopes
Monoclonal antibody development using isoform-specific immunogens
Validation requirements:
Expression systems overexpressing single isoforms as positive controls
Isoform-specific knockdowns as negative controls
Mass spectrometry confirmation of isoform-specific immunoprecipitation
Cross-validation with existing antibodies and orthogonal methods
Application-specific considerations:
For live-cell imaging, develop cell-permeable nanobodies
For super-resolution microscopy, consider site-specific labeling approaches
For multiplexed detection, generate antibodies from different host species
For quantitative applications, consider generating recombinant antibodies with defined affinity characteristics
CRISPR-Cas technologies offer powerful approaches for RPAIN functional studies:
Genome editing applications:
CRISPR knockout of RPAIN to assess global effects on RPA localization and function
Isoform-specific editing by targeting isoform-unique exons
Knock-in of tags (GFP, FLAG) at endogenous loci for physiological expression levels
Introduction of point mutations to disrupt specific functional domains or PTM sites
CRISPR screening approaches:
Genome-wide CRISPR screens for synthetic lethality with RPAIN deficiency
Targeted screens of DNA repair genes to identify genetic interactions
CRISPRi/CRISPRa for reversible modulation of RPAIN expression
Domain-focused saturation mutagenesis to map functional regions
CRISPR imaging applications:
CRISPR-based tagging for live-cell tracking of endogenous RPAIN
Simultaneous imaging of RPAIN and RPA during DNA damage response
Optogenetic control of RPAIN function to probe temporal aspects
Experimental design considerations:
Include appropriate controls (non-targeting gRNAs)
Validate editing efficiency through sequencing and protein expression analysis
Consider potential compensation by related proteins
For essential functions, use inducible or partial knockdown approaches
To investigate the complex relationship between RPAIN isoforms and sumoylation:
Advanced biochemical approaches:
In vitro sumoylation assays with recombinant RPAIN isoforms
Proximity-dependent labeling (BioID, APEX) to identify nearby sumoylation machinery
Quantitative proteomics to measure sumoylation stoichiometry
SUMO-specific protein microarrays to profile isoform-specific interactions
Cellular imaging strategies:
FRET-based sensors for detecting sumoylation in real-time
Split fluorescent protein complementation to visualize RPAIN-SUMO interaction
Multi-color live-cell imaging to track RPAIN, SUMO, and PML dynamics
Super-resolution microscopy to resolve subnuclear structures
Genetic manipulation approaches:
CRISPR-based editing of sumoylation sites in RPAIN
Inducible expression of SUMO proteases to rapidly desumoylate targets
Targeted degradation of sumoylated proteins using engineered SUMO-targeted ubiquitin ligases
Expression of SUMO-trapped mutants to stabilize transient interactions
Mathematical modeling:
Kinetic modeling of the sumoylation/desumoylation cycle
Agent-based models of nuclear body formation and dynamics
Systems biology approaches to integrate multiple datasets
Machine learning to identify patterns in complex spatiotemporal datasets
These emerging approaches provide powerful tools for dissecting the complex relationship between RPAIN isoforms, sumoylation, and nuclear organization in DNA metabolism .
Based on validated experimental data, the following samples serve as reliable positive controls:
| Antibody | Validated Positive Controls for Western Blot | Validated Positive Controls for IHC | Validated Positive Controls for IP |
|---|---|---|---|
| 15220-1-AP (Polyclonal) | A375 cells, mouse ovary tissue, A2780 cells | Human ovary tumor tissue | A375 cells |
| 68546-1-Ig (Monoclonal) | A549 cells, Jurkat cells, A2780 cells, LNCap cells, K-562 cells | Not specified | Not specified |
| A11439 (Polyclonal) | Jurkat cell lysate | Mouse stomach tissue | Not specified |
Methodological recommendations:
Include both positive and negative control samples in each experiment
For knockout validation, consider using RPAIN CRISPR knockout cell lines
For overexpression controls, use cells transfected with RPAIN expression constructs
When possible, use multiple cell lines to confirm antibody specificity across different cellular contexts
Include loading controls and normalize to total protein for quantitative applications
To ensure maximum stability and performance of RPAIN antibodies:
Storage recommendations:
Store antibodies at -20°C for long-term stability (up to one year)
For short-term storage (up to three months), 4°C is acceptable for some formulations
Avoid repeated freeze-thaw cycles that can degrade antibody quality
For 15220-1-AP and 68546-1-Ig: Store in PBS with 0.02% sodium azide and 50% glycerol pH 7.3
Aliquoting best practices:
Divide antibodies into single-use aliquots upon receipt
Use sterile tubes and conditions when preparing aliquots
Record date of aliquoting and track usage of each aliquot
For small volume antibodies (20μl), aliquoting may be unnecessary for -20°C storage
Working dilution preparation:
Prepare fresh working dilutions for each experiment
Use high-quality, freshly prepared buffers
For Western blot applications, consider using milk or BSA as blocking agents
Filter solutions if precipitation is observed
Quality control measures:
When confronting contradictory results in RPAIN research:
Systematic approach to literature discrepancies:
Identify specific points of contradiction (localization, function, interactions)
Analyze methodological differences that might explain discrepancies
Consider cell type-specific or context-dependent effects
Evaluate reagent differences (antibodies, expression constructs)
Experimental design strategies:
Use multiple, complementary techniques to address the same question
Include appropriate positive and negative controls for each method
Consider both gain-of-function and loss-of-function approaches
Validate key findings in multiple cell types or experimental systems
Critical controls:
For antibody-based discrepancies: Use multiple antibodies targeting different epitopes
For functional studies: Include rescue experiments with wild-type and mutant constructs
For localization discrepancies: Use both biochemical fractionation and imaging approaches
For interaction studies: Perform both endogenous and overexpression analyses
Collaborative and reproducibility approaches:
Consider blind analysis of data to minimize bias
Implement rigorous statistical analyses with appropriate sample sizes
Share reagents and protocols with collaborators for independent validation
Consider pre-registering experimental designs for key validations