PNLIPRP3 antibodies are immunoglobulin reagents designed to detect and quantify the PNLIPRP3 protein in research and diagnostic contexts. These antibodies are typically raised in rabbits, exhibit polyclonal specificity, and are validated for techniques such as:
Key characteristics include:
Target Epitopes: Common antigenic regions include amino acid residues 201–467, 63–92 (N-terminal), and 389–438 .
Conjugates: Available in unlabeled, HRP-, FITC-, and biotin-conjugated formats .
Overexpression of PNLIPRP3 is linked to HCC progression. A study of 29 HCC patients identified:
PNLIPRP3 Overexpression: Observed in 41% of cases, correlating with chemotherapeutic resistance .
Allelic Loss on 10q25.3: Associated with shorter median survival (14 vs. 103 weeks; P = 0.03) .
| Clinicopathological Factor | Association with PNLIPRP3 Overexpression | Statistical Significance |
|---|---|---|
| Tumor Size (≥5 cm) | 47% positivity | P = 0.36 |
| Metastasis | 57% positivity | P = 1.00 |
| Chemotherapy Group | Significant overexpression | P < 0.05 |
A novel high-throughput antibody screening system combined with next-generation sequencing (NGS) enables rapid isolation of antigen-specific clones. This method achieved a 75.9% success rate in cloning paired Ig heavy/light chains from single B cells, accelerating therapeutic antibody discovery .
PNLIPRP3 antibodies undergo rigorous validation:
Immunohistochemistry: Staining in paraffin-embedded human liver cancer tissues confirms specificity .
Protein Arrays: Tested against 364 human recombinant proteins to ensure minimal cross-reactivity .
Batch Consistency: Standardized manufacturing protocols ensure reproducibility across lots .
Preservative Toxicity: ProClin 300 in antibody buffers requires handling by trained personnel .
Species Limitations: Most antibodies are validated for human and mouse tissues only .
Emerging applications include:
PNLIPRP3 (Pancreatic Lipase-Related Protein 3) is an enzyme primarily involved in fat digestion, making it an important target for studies in lipid metabolism and digestive health. Despite its name suggesting pancreatic origin and function, PNLIPRP3 is highly expressed in skin tissue, particularly in sebaceous cells that produce sebum rich in triglycerides . The protein is predicted to have lipase activity contributing to the breakdown of triglycerides, suggesting roles in both digestive processes and skin barrier maintenance . Research interest in PNLIPRP3 has increased due to genetic evidence linking it to reduced risk for rosacea, with a common frameshift variant (rs145843135) showing protective effects and reducing PNLIPRP3 expression in skin tissue .
PNLIPRP3 antibodies are primarily used in several standard laboratory techniques:
Western Blotting: For detecting PNLIPRP3 protein in tissue lysates with recommended dilutions of 1:500-1:5000
Immunohistochemistry (IHC): For localizing PNLIPRP3 in tissue sections with recommended dilutions of 1:20-1:200
ELISA: For quantitative analysis of PNLIPRP3 with recommended dilutions of 1:2000-1:10000
These applications enable researchers to investigate PNLIPRP3 expression patterns, protein interactions, and functional roles in both normal physiology and disease states .
Currently available PNLIPRP3 antibodies typically demonstrate reactivity with human and mouse samples . For example, the PNLIPRP3 Polyclonal Antibody (PACO29030) has been validated for detection of the protein in both human and mouse tissues . In Western blot applications, positive detection has been confirmed in mouse liver and kidney tissues using this antibody . When planning cross-species experiments, researchers should verify the antibody's specific reactivity profile, as validation across different species can vary significantly depending on sequence homology and epitope conservation.
Following best practices for antibody validation, researchers studying PNLIPRP3 should implement several critical controls:
Positive controls: Use tissues known to express PNLIPRP3 (mouse liver, kidney, or human skin samples, particularly those rich in sebaceous glands)
Negative controls: Include samples from tissues with minimal PNLIPRP3 expression
Knockout/knockdown validation: Where possible, validate specificity using PNLIPRP3 knockout models or samples with genetic variants known to affect expression
Secondary antibody-only controls: Ensure signal specificity by running parallel samples without primary antibody
Antigen competition assays: Pre-incubate antibody with purified target protein to confirm binding specificity
Proper validation is essential given that approximately 50% of commercial antibodies fail to meet basic characterization standards, which significantly impacts reproducibility in biomedical research .
The common frameshift variant rs145843135 (MAF=5.4%) in PNLIPRP3 has been associated with reduced risk for rosacea and decreased PNLIPRP3 expression in skin tissue . Researchers should consider how this and other genetic variants might affect antibody recognition:
Frameshift mutations can significantly alter protein structure and epitope availability
For studies involving populations with known PNLIPRP3 variants, researchers should determine whether their antibody's target epitope is affected by the variant
When studying cohorts with skin conditions like rosacea, consider genotyping samples for rs145843135 to account for genetic influence on antibody binding and signal interpretation
Differential antibody binding due to genetic variants could lead to false-negative results or misinterpretation of expression patterns, particularly in heterogeneous tissue samples.
Given the high expression of PNLIPRP3 in skin, particularly in sebaceous cells , researchers should consider several specialized methodological approaches:
Sample preparation: Standard fixation protocols may not preserve lipid-rich sebaceous glands optimally; consider specialized fixatives that maintain lipid structures
Antigen retrieval: Test multiple retrieval methods as lipid-rich environments may require modified protocols
Cell-type specificity: Use co-staining with sebaceous cell markers to confirm localization, as PNLIPRP3 shows highly cell-type specific expression
Single-cell analysis: Consider single-cell approaches to distinguish expression patterns in different skin cell populations
Quantification methods: Develop standardized quantification approaches that account for the heterogeneous distribution of sebaceous glands in skin samples
These considerations help ensure accurate detection and analysis of PNLIPRP3 in dermatological research contexts.
Western blot detection of PNLIPRP3 presents several technical challenges that researchers should anticipate:
Expected band size: The predicted molecular weight of PNLIPRP3 is approximately 53 kDa, but post-translational modifications may affect migration patterns
Sample preparation: Lipid-rich tissues may require specialized lysis buffers to efficiently extract PNLIPRP3
Optimization parameters:
Background reduction: PNLIPRP3's association with lipid-rich environments may contribute to non-specific binding; stringent washing and optimized blocking are essential
PNLIPRP3 is almost exclusively expressed in sebaceous cells that produce sebum rich in triglycerides . Though its exact function remains unconfirmed, PNLIPRP3 is predicted to have lipase activity contributing to triglyceride breakdown . Researchers can employ several antibody-based approaches to investigate this function:
Co-immunoprecipitation: Use PNLIPRP3 antibodies to identify interacting partners in lipid metabolism pathways
Immunoenzyme assays: Combine immunoprecipitation with lipase activity assays to directly measure enzymatic function
Proximity ligation assays: Detect PNLIPRP3 interactions with lipid substrates in situ
Subcellular localization: Use immunofluorescence with organelle markers to determine if PNLIPRP3 localizes to lipid-processing compartments
In vitro reconstitution: Purify PNLIPRP3 using immunoaffinity approaches to test enzymatic activity on defined substrates
These approaches can help determine whether PNLIPRP3's role in sebum composition affects skin barrier function and inflammatory processes in conditions like rosacea .
The broader "antibody characterization crisis" highlighted in recent literature applies to PNLIPRP3 research as well. To enhance reproducibility, researchers should:
These practices align with international efforts to improve antibody characterization and enhance research reproducibility .
For successful immunohistochemical detection of PNLIPRP3 in skin samples, researchers should consider this optimized protocol based on available evidence:
Tissue preparation:
Fix tissues in 10% neutral buffered formalin for 24-48 hours
Consider specialized fixatives for lipid-rich tissues if standard fixation yields poor results
Prepare 4-6μm thick sections for optimal antibody penetration
Antigen retrieval:
Test both heat-induced epitope retrieval (HIER) with citrate buffer (pH 6.0) and Tris-EDTA buffer (pH 9.0)
Compare results with enzymatic retrieval using proteinase K
Blocking and antibody application:
Detection system:
Counterstaining and controls:
Quantitative analysis of PNLIPRP3 expression in sebaceous glands requires specialized approaches:
Image analysis workflow:
Capture high-resolution images of immunostained sections
Segment sebaceous glands using morphological features or co-staining markers
Measure PNLIPRP3 staining intensity within segmented regions
Normalize to gland size or cell count for comparative analysis
Correlation with functional parameters:
Single-cell analysis approaches:
Laser capture microdissection of sebaceous glands followed by protein or RNA analysis
Single-cell RNA sequencing to correlate PNLIPRP3 expression with other sebaceous gland markers
Spatial transcriptomics to map expression patterns across intact skin sections
These quantitative approaches enable correlation of PNLIPRP3 expression with functional outcomes in normal physiology and skin disorders.
The genetic association between PNLIPRP3 variants and reduced risk for rosacea suggests potential translational applications for PNLIPRP3 antibodies :
Expression analysis across disease stages:
Compare PNLIPRP3 expression patterns between healthy skin, pre-rosacea, and established rosacea using immunohistochemistry
Evaluate changes in subcellular localization that might indicate altered function
Sebum composition studies:
Inflammatory pathway analysis:
Investigate interactions between PNLIPRP3 and inflammatory mediators using co-immunoprecipitation and proximity ligation assays
Determine whether PNLIPRP3-mediated changes in sebum composition affect microbial colonization and subsequent inflammation
Therapeutic target validation:
Despite its name suggesting pancreatic origin and function, PNLIPRP3 shows high expression in skin tissue . Researchers can employ several antibody-based approaches to investigate this apparent contradiction:
Comparative expression analysis:
Use the same validated PNLIPRP3 antibody to quantitatively compare expression levels between pancreatic and skin tissues
Perform Western blots with tissue-specific lysates to determine relative abundance and potential tissue-specific isoforms
Epitope mapping studies:
Employ antibodies targeting different PNLIPRP3 epitopes to determine if tissue-specific post-translational modifications affect detection
Use domain-specific antibodies to identify functional regions expressed in different tissues
Functional activity correlation:
Immunoprecipitate PNLIPRP3 from both pancreatic and skin tissues to compare enzymatic activities
Investigate tissue-specific protein interactions that might modify PNLIPRP3 function
Developmental expression patterns:
Use immunohistochemistry to track PNLIPRP3 expression during embryonic development of both pancreatic and sebaceous structures
Correlate expression patterns with tissue-specific differentiation markers
These approaches may reveal how a single protein evolved to serve potentially different functions in digestive and dermatological contexts.
Several cutting-edge antibody technologies hold promise for advancing PNLIPRP3 research:
Recombinant antibody development:
Nanobodies and single-domain antibodies:
Smaller size allows better tissue penetration in intact samples
Potential for improved access to cryptic epitopes in lipid-rich environments
Multiplexed detection systems:
Simultaneous visualization of PNLIPRP3 with multiple interaction partners and cell-type markers
Integration with mass cytometry for quantitative, multiparameter analysis
In vivo imaging applications:
Development of non-invasive approaches to monitor PNLIPRP3 activity in living systems
Correlation with functional outcomes in real-time
Antibody characterization technologies:
These technological advances will likely improve our understanding of PNLIPRP3's diverse roles in digestive and dermatological systems, potentially leading to novel therapeutic applications.
Individual researchers can significantly enhance the quality of PNLIPRP3 antibody research by adhering to several best practices:
Rigorous validation protocols:
Methodological transparency:
Publish detailed protocols including antibody identifiers, lot numbers, dilutions, and incubation conditions
Share raw data and validation results through repositories and supplementary materials
Adoption of reporting standards:
Collaborative validation:
Participate in community-based validation efforts
Report both positive and negative results to build a comprehensive knowledge base
Integration with broader antibody quality initiatives: