PRPF31 (PRP31 pre-mRNA processing factor 31 homolog) is a component of the spliceosome complex involved in pre-mRNA splicing. It is recruited to introns following the attachment of U4 and U6 RNAs and the 15.5K protein, making it crucial for the transition of the spliceosomal complex to the activated state . PRPF31's importance stems from its role as a component of the U4/U6.U5 tri-snRNP complex, which is essential for spliceosome assembly . Mutations in PRPF31 are associated with autosomal dominant retinitis pigmentosa type 11 (RP11), making it a significant target for retinal disease research .
PRPF31 antibodies have been validated for multiple applications including:
| Application | Dilution Range |
|---|---|
| Western Blot (WB) | 1:2000-1:16000 |
| Immunohistochemistry (IHC) | 1:50-1:500 |
| Immunofluorescence (IF-P) | 1:50-1:500 |
| Immunoprecipitation (IP) | Application-dependent |
| Flow Cytometry | Application-dependent |
| ELISA | Application-dependent |
These applications have been tested with human and mouse samples . It's important to note that optimal antibody dilutions should be determined experimentally for each specific application and sample type.
PRPF31 antibodies should be stored at -20°C and remain stable for approximately one year after shipment. Aliquoting is generally unnecessary for -20°C storage. Most commercial PRPF31 antibodies are supplied in PBS with 0.02% sodium azide and 50% glycerol at pH 7.3 . Some smaller volume preparations (20μl) may contain 0.1% BSA as a stabilizer . Always follow manufacturer-specific storage instructions, as formulations may vary between suppliers.
For effective localization studies of PRPF31 in retinal cells:
Sample preparation: Prepare retinal sections or retinal cell cultures (primary or cell lines). For tissue sections, use antigen retrieval with TE buffer pH 9.0 or citrate buffer pH 6.0 .
Antibody selection: Use antibodies targeting the N-terminus of PRPF31 to detect both wild-type and mutant proteins . This is particularly important for mutation studies.
Co-staining approach: Include markers for nuclear speckles (e.g., SC35) and Cajal bodies (e.g., coilin) to assess PRPF31 localization within nuclear compartments .
Controls: Include both positive controls (tissues known to express PRPF31) and negative controls (either no primary antibody or using tissues from knockout models).
Analysis: Quantify the nuclear vs. cytoplasmic distribution of PRPF31 staining, as mutations can cause cytoplasmic mislocalization of PRPF31 .
Research has shown that in RP11 patient-derived cells, PRPF31 is predominantly localized in the cytoplasm, unlike control cells where it is mainly nuclear . This mislocalization pattern is critical for understanding disease mechanisms.
Several validated approaches for PRPF31 protein quantification include:
Western blotting: Most commonly used method. For accurate quantification, use:
Automated Western blotting systems (e.g., Jess system, ProteinSimple) for increased reproducibility
Image Studio Lite v5.2 (LI-COR Biosciences) for signal quantification
Loading controls such as β-actin or GAPDH for normalization
Recommended dilution of 1:10000 for PRPF31 antibodies such as EPR14587
Immunofluorescence with quantitative imaging:
Fixed-cell imaging with consistent acquisition parameters
Z-stack imaging to capture the full cellular volume
Measurement of fluorescence intensity in defined cellular compartments
Flow cytometry:
Particularly useful for comparing expression levels across cell populations
Requires permeabilization for intracellular PRPF31 detection
When comparing wild-type and mutant PRPF31 expression, Western blot analysis has revealed up to fivefold decrease in PRPF31 protein expression in mutation-carrying cells .
While standard ChIP protocols work for PRPF31, optimization specific to this protein includes:
Cross-linking optimization:
Nuclear extraction:
Sonication conditions:
Antibody selection and validation:
Washing conditions:
This optimized protocol has been successfully used to identify PRPF31-bound genomic regions in retinal tissues .
PRPF31 knockout models can be generated using these validated approaches:
AAV-CRISPR/Cas9 system:
For SpCas9, gRNA targeting exon 6 of PRPF31 has shown 92.3 ± 0.58% editing efficiency in GFP-positive HEK293 cells
For SaCas9 (which allows packaging of Cas9 and gRNA in a single AAV vector), combinations of gRNAs targeting exons 2 and 3 of mouse Prpf31 showed highest knockout efficiency
Deliver via subretinal injection for localized retinal effects
Validation of knockout:
Genomic DNA analysis: Use deep sequencing to quantify editing efficiency (typically 24-38% of Prpf31 is modified following AAV delivery)
Protein analysis: Western blotting with antibodies against PRPF31 to confirm reduced protein levels
Functional analysis: Assessment of retinal structure (OCT) and function (ERG)
Important considerations:
Complete Prpf31 knockout is embryonically lethal and systemic knockout in neonatal mice results in stunted development and early death within 4 weeks
Consider temporal control systems (inducible Cre-loxP) for tissue-specific knockout
Heterozygous knockouts may better represent the autosomal dominant nature of PRPF31-RP
Keep in mind that subretinal injection of Prpf31-KO vectors results in severe and rapid structural and functional degeneration in photoreceptors and RPE, providing a useful model for testing therapeutic approaches .
Key cellular phenotypes that can be assessed include:
PRPF31 protein localization:
Protein aggregation:
Splicing defects:
RPE-specific phenotypes:
Proteomic analysis of insoluble fractions from patient-derived RPE cells has identified 934 differentially expressed proteins in these aggregates, including visual cycle proteins (RLBP1, DHRS3), protein folding components (HSPB1), and splicing factors .
To distinguish between these two mechanisms:
Protein expression analysis:
Compare PRPF31 protein levels in patient vs. control cells using calibrated Western blotting
In haploinsufficiency, expect ~50% reduction in total PRPF31 protein
In dominant-negative effects, expression levels may vary, but functional impairment exceeds what would be expected from reduced levels alone
Subcellular localization studies:
Complementation experiments:
Overexpress wild-type PRPF31 in mutation-carrying cells:
If haploinsufficiency is the mechanism, this should rescue cellular phenotypes
If dominant-negative effects predominate, rescue will be incomplete
Mutant protein interactions:
Advanced applications for investigating pathogenesis mechanisms include:
Proteomics of insoluble fractions:
Isolate insoluble protein fractions from patient-derived cells
Use PRPF31 antibodies to confirm presence of PRPF31 in aggregates
Perform mass spectrometry to identify co-aggregating proteins
This approach has identified 934 differentially expressed proteins in RP11-RPE cell insoluble fractions, revealing affected pathways including mRNA splicing, protein folding, and UPR
RNA-protein interaction studies:
RNA immunoprecipitation (RIP) to identify RNAs bound by PRPF31
Individual nucleotide resolution UV crosslinking and immunoprecipitation (iCLIP)
These techniques can reveal alterations in RNA processing in disease states
Splicing analysis pipeline:
RNA-seq of patient-derived cells followed by differential splicing analysis
Validation of splicing changes using RT-PCR
Studies have shown that 11% of genes in RPEs of Prpf31 mutant mice were differentially spliced, including genes related to inflammation, oxidative stress, retinol metabolism, and cilia formation
Cellular stress response:
Using these approaches, research has demonstrated that progressive protein aggregate accumulation, rather than direct PRPF31-initiated mis-splicing, overburdens waste disposal machinery in RPE cells .
Rigorous experimental design requires these controls:
Antibody validation controls:
PRPF31 knockout or knockdown cells/tissues as negative controls
Overexpression systems for positive controls
Isotype controls (e.g., rabbit IgG) to assess non-specific binding
Testing multiple antibodies targeting different epitopes of PRPF31
Sample-specific controls:
Technical controls for specific applications:
For Western blotting: Loading controls (β-actin, GAPDH); molecular weight markers to confirm band specificity
For immunofluorescence: Secondary antibody-only controls; peptide competition assays
For ChIP: Input samples and IgG precipitation controls
Functional rescue controls:
In PRPF31 retinitis pigmentosa studies, CRISPR/Cas9-corrected isogenic controls have been particularly valuable for distinguishing disease-specific effects from individual genetic variation .
To study PRPF31's role in splicing complexes:
Co-localization analysis approach:
Perform dual or triple immunofluorescence with antibodies against:
PRPF31
Other tri-snRNP components (PRPF8, SNRNP200, PRPF4, PRPF6)
Nuclear speckle markers (SC35, SRSF2)
Cajal body markers (coilin)
Use high-resolution confocal or super-resolution microscopy
Quantify co-localization using Pearson's correlation coefficient or Manders' overlap coefficient
Functional assessments:
Fluorescence recovery after photobleaching (FRAP) to assess dynamics of PRPF31 in nuclear compartments
Live-cell imaging with fluorescently tagged PRPF31 and other splicing factors
Pre-mRNA processing analysis using splicing reporter constructs
Analysis metrics:
Research has shown that mutations in PRPF31 lead to tri-snRNP assembly defects in Cajal bodies with reduced U4/U6 snRNPs and accumulation of U5, resulting in smaller nuclear speckles and reduced formation of active spliceosomes . These changes correlate with global splicing dysregulation in patient-derived retinal cells.
When encountering discrepancies:
Antibody-specific factors:
Different epitopes: Antibodies targeting N-terminal vs. C-terminal epitopes may show different patterns, especially with truncated mutants
Clonality: Monoclonal antibodies are more specific but may miss some isoforms; polyclonal antibodies detect more variants but can show cross-reactivity
Host species and isotype can affect background and sensitivity
Validation status: Not all antibodies undergo rigorous validation across applications
Technical variables:
Biological variables:
Resolution of discrepancies:
Use multiple antibodies targeting different epitopes
Employ complementary techniques (immunofluorescence, Western blotting, in situ hybridization)
Include appropriate positive and negative controls
Report detailed methodology to facilitate comparison between studies
In situ hybridization studies show that PRPF31 mRNA is strongly expressed in the outer nuclear layer (photoreceptor nuclei) and inner nuclear layer of the retina , which should be considered when interpreting immunostaining results.
Common challenges and solutions include:
High background in immunofluorescence:
Increase blocking time (2-3 hours with 5-10% normal serum)
Optimize antibody concentration (test dilutions from 1:50-1:500 for IF-P)
Use alternative blocking agents (BSA, fish gelatin, commercial blockers)
Increase washing duration and detergent concentration
Consider using monoclonal antibodies for higher specificity
Weak or absent Western blot signal:
Optimize protein extraction methods (for nuclear proteins like PRPF31)
Adjust antibody concentration (1:2000-1:16000 range recommended)
Increase exposure time or use more sensitive detection systems
Use fresh antibody preparations and verify storage conditions
Consider antigen retrieval techniques for Western blots
Inconsistent immunoprecipitation:
Detection of aggregated species:
For PRPF31 research specifically, it is recommended to test antibody reactivity in both nuclear and cytoplasmic fractions, as mutation-related mislocalization can shift protein distribution significantly .
To address contradictory findings:
Systematic analysis of model systems:
Different species: Mouse models show milder phenotypes than human patients
Cell types: PRPF31 effects are more pronounced in photoreceptors and RPE cells than other cell types
Mutation types: Different mutations (truncation vs. missense) may operate through different mechanisms
Developmental timing: Embryonic vs. adult phenotypes may differ significantly
Mechanism-focused investigations:
Methodological reconciliation:
Compare acute (CRISPR/Cas9) vs. chronic (germline) models
Evaluate protein level reduction vs. complete knockout effects
Consider gene dosage effects and complementation studies
Assess temporal aspects of degeneration progression
Integration of findings:
PRPF31 mutations may initially cause haploinsufficiency effects on splicing
Progressive accumulation of mutant proteins leads to aggregation
Aggregates sequester wild-type PRPF31 and other proteins
Waste disposal machinery becomes overburdened, exacerbating cellular stress
Retinal cells are particularly vulnerable due to high metabolic demands
Research suggests that the retina has a relatively higher demand for PRPF31 function, resulting in increased sensitivity to PRPF31 reduction . This helps explain why PRPF31 mutant carriers develop retina-specific disease, as the remaining PRPF31 levels from the wild-type allele are sufficient for normal function in other tissues but inadequate for retinal cells.
PRPF31 antibodies serve as essential tools for evaluating therapeutics:
Gene therapy assessment:
Protein aggregate reduction strategies:
Quantifying changes in cytoplasmic PRPF31 aggregates following treatment
Monitoring co-aggregating proteins (e.g., visual cycle proteins)
Assessing autophagy activation through LC3 and p62 markers alongside PRPF31
Rapamycin treatment has been shown to reduce PRPF31-containing cytoplasmic aggregates and improve cell survival
Combinatorial therapy monitoring:
Using PRPF31 antibodies alongside markers of retinal health
Evaluating sequential therapy effects (e.g., aggregate clearance followed by gene therapy)
Assessing retinal structure preservation in treated areas
Diseased cell identification for cell replacement strategies:
Identifying cells with cytoplasmic PRPF31 mislocalization as targets for replacement
Monitoring integration of transplanted healthy cells
Therapeutic targeting of waste disposal mechanisms, particularly activation of the autophagy pathway, has shown promise in reducing cytoplasmic aggregates and could potentially be combined with gene therapy approaches for PRPF31-adRP patients .
Key considerations include:
Temporal profiling approach:
Establish baseline PRPF31 expression and localization in healthy controls
Create a timeline of sampling points matching disease progression stages
In rapidly progressing CRISPR-induced models, evaluate at 1-10 weeks post-injection
In slower progressing models (e.g., A216P mice), assess changes over months
Multi-parameter assessment:
Combine PRPF31 antibody staining with:
Photoreceptor markers (rhodopsin, recoverin)
RPE markers (RPE65, ZO-1)
Cell death markers (TUNEL, cleaved caspase-3)
Stress markers (BiP/GRP78, CHOP)
Sample collection and processing:
For retinal sections: Use consistent fixation methods across timepoints
For protein analysis: Separate nuclear and cytoplasmic fractions
For insoluble aggregates: Use specialized fractionation protocols
Quantitative measures:
Measure PRPF31 protein levels by Western blot
Quantify nuclear vs. cytoplasmic PRPF31 distribution
Assess co-localization with aggregate markers
Track the percentage of cells with PRPF31 mislocalization
In CRISPR-based models, genomic DNA analysis revealed that 38.02 ± 12.66% of mouse Prpf31 was modified in treated-rescue eyes, while 24.08 ± 3.37% was modified in knockout-PBS eyes at 10 weeks post-injection . This higher percentage of edited cells in rescue conditions indicates preservation of cells that would otherwise be lost to degeneration.
To differentiate primary from secondary effects:
Temporal analysis framework:
Direct splicing effects vs. downstream consequences:
Primary effects: Pre-mRNA splicing defects, tri-snRNP assembly alterations
Secondary effects: Protein aggregation, UPR activation, autophagy impairment
Tertiary effects: Cell death pathways, inflammatory responses
Mechanistic intervention studies:
Multi-omics integration:
Compare transcriptomic (splicing changes) and proteomic (aggregation, expression changes) data
Identify earliest molecular alterations before morphological changes
Research has identified 1333 differentially expressed genes in RPE cells of Prpf31 mutant mice, with particular impact on inflammation, oxidative stress, and retinol metabolism pathways
Current evidence suggests a model where initial splicing defects lead to protein misfolding and aggregation, which progressively overburdens cellular waste disposal mechanisms, creating a cycle of increasing cellular stress that ultimately leads to retinal cell death .