Prolactin-Induced Protein (PIP), also known as Gross Cystic Disease Fluid Protein 15 (GCDFP-15) or BRST2, is a small secreted glycoprotein with diverse roles in immune regulation, cancer progression, and microbial defense. Initially identified in breast cancer cells, PIP is expressed in apocrine glands (e.g., salivary, lacrimal, and sweat glands) and bodily fluids such as seminal plasma and saliva . Its structural and functional complexity has made it a subject of extensive research, particularly in oncology and immunology.
Amino Acid Composition: PIP is synthesized as a 146-amino acid pre-protein, which is cleaved into a 118-amino acid secretory polypeptide (theoretical mass: 13.5 kDa) .
Post-Translational Modifications: N-linked glycosylation increases its apparent molecular mass to 14–20 kDa, depending on tissue origin .
Disulfide Bonds: Two disulfide bridges (Cys37–Cys63 and Cys61–Cys95) stabilize its tertiary structure .
Secondary Structure: Composed of seven parallel β-sheets and seven β-turns, lacking α-helical regions. Its structure resembles the fibronectin type III domain .
Early-Stage Tumors: High PIP expression correlates with luminal A subtype and better chemotherapy response .
Advanced Cancers: Reduced PIP levels are linked to higher tumor grade, metastasis, and poor prognosis .
| Tumor Stage | PIP Expression Level | Clinical Implication |
|---|---|---|
| In Situ Carcinoma | High | Favorable prognosis |
| Invasive Carcinoma | Low | Resistance to chemotherapy |
Immune Modulation: PIP-expressing tumors show increased NK cells and dendritic cells, enhancing antitumor immunity .
Hormonal Regulation: Androgens upregulate PIP, whereas estrogens suppress it, influencing tumor progression .
Biomarker Utility: PIP serves as a diagnostic marker for breast, salivary, and sweat gland tumors due to its tissue-specific expression .
Therapeutic Target: Preclinical studies suggest PIP inhibition could disrupt integrin-β1 signaling and metastasis .
Prolactin-Induced Protein (PIP), also known as Gross cystic disease fluid protein 15 (GCDFP-15) or secretory actin-binding protein (SABP), is a 17kDa glycoprotein originally identified in human seminal plasma. The protein is synthesized as a 146 amino acid polypeptide containing a single glycosylation site, with high sequence similarity to proteins found in mouse submaxillary gland . The mature form of human PIP has a molecular mass of 13.52kDa (when calculated without glycosylation) and contains 118 amino acid residues .
The protein's structure features several disulfide bonds that contribute to its stability and functionality. These structural elements are critical for its binding capabilities with various proteins including fibrinogen, actin, keratin, myosin, and tropomyosin . This structural configuration enables PIP to participate in multiple biological processes and cellular interactions.
PIP protein shows distinct expression patterns across various tissue types, with particularly noteworthy presence in exocrine tissues. The protein is abundantly expressed in the lacrimal, salivary, and sweat glands under normal physiological conditions . Additionally, PIP expression has been documented in pathological conditions of the mammary gland, making it a valuable diagnostic marker.
The differential expression pattern of PIP in normal versus pathological tissues creates a basis for its utility in diagnostic applications. Specifically, PIP's association with secretory cell differentiation has enabled its application in the diagnostic evaluation of tumors originating from the breast, salivary gland, and skin . Researchers investigating expression patterns should consider employing immunohistochemistry, RT-PCR, and tissue microarray techniques to quantify relative expression levels across different tissue samples.
While the search results indicate that "the precise biological functions of PIP are still ambiguous" , several functions have been attributed to this protein based on its biochemical properties and tissue distribution. PIP's ability to bind to various structural and functional proteins suggests roles in:
Cytoskeletal organization and dynamics through its interactions with actin, myosin, and tropomyosin
Cellular adhesion mechanisms via interactions with fibrinogen and keratin
Secretory processes in exocrine tissues including lacrimal, salivary, and sweat glands
Cell differentiation pathways, particularly in secretory cells
Researchers studying PIP function should employ protein-protein interaction assays, knockout/knockdown studies, and functional complementation experiments to elucidate specific physiological roles in their tissue or model system of interest.
For researchers interested in isolating native PIP protein, the following methodological approach is recommended:
Source selection: Human seminal plasma represents an established source for PIP isolation . Alternative sources include breast cyst fluid, tear fluid, and saliva, though yields may vary.
Initial fractionation: Employ ammonium sulfate precipitation followed by centrifugation to separate protein fractions.
Chromatographic purification: Sequential chromatography techniques including:
Ion exchange chromatography (using phosphate buffer at pH 8.0)
Size exclusion chromatography
Affinity chromatography (potentially using antibodies against PIP or known binding partners)
Validation of purity: SDS-PAGE analysis followed by Western blotting using anti-PIP antibodies.
When working with commercial PIP preparations, researchers should note formulation specifications. For instance, commercially available PIP is typically filtered (0.4μm) and lyophilized in 0.5mg/ml in 0.05M phosphate buffer with 0.075M NaCl at pH 8.0 .
Based on the available information, the following conditions are recommended for maintaining PIP protein stability:
Storage of lyophilized protein: Store at -20°C to maintain long-term stability .
Reconstitution: Add deionized water to prepare a working stock solution of approximately 0.5 mg/ml and allow complete dissolution of the lyophilized pellet .
Post-reconstitution handling:
Buffer composition for optimal stability: 0.05M phosphate buffer with 0.075M NaCl at pH 8.0 has been established as suitable for PIP protein stability .
Researchers should validate protein activity after storage using functional assays specific to their research questions.
It is critical for researchers to distinguish between Prolactin-Induced Protein (PIP) and phosphatidylinositol phosphate kinases (PIPKs), as both are abbreviated as "PIP" in scientific literature. The following approaches help differentiate these distinct molecular entities:
Molecular characteristics for differentiation:
Experimental approaches for differentiation:
Immunological techniques: Use antibodies specifically raised against PIP protein or PIP kinases for Western blotting, immunoprecipitation, or immunofluorescence.
Activity assays: PIP kinases demonstrate kinase activity with specific substrates like PI(4)P, which PIP protein does not possess .
Mass spectrometry: Peptide mass fingerprinting can definitively identify the protein based on its unique sequence.
Genetic approaches: siRNA or CRISPR targeting specific to either PIP protein or PIP kinases can confirm functional roles in experimental systems.
PIP protein has been documented to interact with various cytoskeletal components including actin, myosin, and tropomyosin . To investigate these interactions, researchers should consider the following methodological approaches:
In vitro binding assays:
Co-sedimentation assays with purified cytoskeletal proteins
Surface plasmon resonance to determine binding kinetics and affinities
Fluorescence resonance energy transfer (FRET) using fluorescently-tagged proteins
Cellular localization studies:
Confocal microscopy with dual-labeling for PIP and cytoskeletal proteins
Super-resolution microscopy (STORM, PALM) for detailed interaction visualization
Live-cell imaging to monitor dynamic interactions
Functional impact assessment:
Actin polymerization assays in the presence/absence of PIP
Cytoskeletal dynamics assays with quantitative parameters
Cell migration and invasion assays after PIP manipulation
Structural biology approaches:
X-ray crystallography of PIP-cytoskeletal protein complexes
Cryo-EM analysis to determine three-dimensional arrangement
NMR studies to identify specific binding interfaces
These methodologies should be selected based on the specific research question and available resources, with multiple complementary approaches providing the most robust evidence for interaction mechanisms.
Researchers seeking to manipulate PIP protein expression levels for functional investigations should consider these methodological strategies:
Genetic modulation approaches:
RNA interference (siRNA/shRNA) targeting PIP mRNA for transient or stable knockdown
CRISPR-Cas9 genome editing to create knockout cell lines or animal models
Overexpression systems using mammalian expression vectors with appropriate promoters
Experimental design considerations:
Include appropriate controls for each modulation approach
Validate expression changes at both mRNA and protein levels
Consider time-dependent effects, especially for inducible systems
Functional readouts post-modulation:
Cellular phenotype characterization (proliferation, migration, differentiation)
Molecular pathway analysis (signaling cascades affected by PIP modulation)
Protein interaction network changes
Rescue experiments:
Re-expression of wild-type PIP in knockout backgrounds
Domain-specific mutants to identify crucial functional regions
Chimeric constructs to assess domain-specific functions
When designing these experiments, researchers should account for potential compensation mechanisms that may activate following PIP modulation, particularly in chronic knockdown or knockout systems.
PIP protein's association with secretory cell differentiation has established its utility in the diagnostic evaluation of tumors, particularly those originating from the breast, salivary gland, and skin . Researchers exploring this relationship should consider:
Clinical sample analysis methodologies:
Tissue microarray construction from diverse tumor types
Quantitative immunohistochemistry with digital pathology analysis
Multi-parameter assessment correlating PIP expression with clinicopathological variables
Prognostic and predictive value assessment:
Survival analysis stratified by PIP expression levels
Correlation of PIP expression with treatment response
Multivariate analysis to determine independent prognostic value
Biological mechanism investigation:
Cell line models representing different tumor types
Xenograft studies with PIP-expressing vs. PIP-negative tumors
Pathway analysis to connect PIP expression with tumorigenic mechanisms
Diagnostic application development:
Assay optimization for sensitivity and specificity
Combinatorial biomarker panels including PIP
Validation across multiple independent cohorts
These research approaches should be designed with consideration for tumor heterogeneity and the potential for context-dependent functions of PIP in different tumor microenvironments.
While sharing a common abbreviation, Prolactin-Induced Protein (PIP) and phosphatidylinositol phosphate kinases (PIPKs) serve fundamentally different cellular functions. Understanding these distinctions is crucial for researchers working with either molecular entity:
Functional comparison between PIP protein and PIP kinases:
Researchers should employ specific molecular tools (antibodies, primers, probes) that can unambiguously distinguish between these entities in experimental systems.
While the search results do not directly address PIP protein's role in host-pathogen interactions, PIP kinases have been implicated in this area . Researchers interested in investigating potential roles of PIP protein in infectious processes should consider these methodological approaches:
Pathogen binding and entry studies:
Direct binding assays between PIP protein and pathogen surface molecules
Infection efficiency studies in cells with modulated PIP expression
Localization studies during pathogen entry using high-resolution microscopy
Immune response modulation assessment:
Cytokine profiling in response to pathogens with/without PIP modulation
Analysis of immune cell recruitment and activation in PIP-sufficient/deficient models
Signal transduction pathway analysis in infected cells with altered PIP levels
In vivo infection models:
Conditional PIP knockout animals challenged with relevant pathogens
Tissue-specific PIP expression analysis during infection progression
Therapeutic intervention studies targeting PIP-pathogen interactions
Structural biology approaches:
Co-crystallization of PIP with pathogen proteins
Epitope mapping to identify interaction domains
In silico molecular docking to predict interaction sites
Given PIP protein's presence in secretory fluids that often represent first lines of defense against pathogens, investigating its antimicrobial properties or immune modulatory functions could prove particularly fruitful.
To position PIP protein research within the context of broader cellular systems, researchers should consider these integrative methodological strategies:
Multi-omics integration approaches:
Correlate PIP protein levels with transcriptomic profiles
Combine proteomic and metabolomic data to identify PIP-associated pathways
Network analysis to position PIP within protein interaction maps
Pathway analysis methodologies:
Enrichment analysis of pathways affected by PIP modulation
Signaling node identification through phosphoproteomics
Causal network inference to determine PIP's position in regulatory hierarchies
Computational modeling strategies:
Protein-protein interaction prediction using machine learning
Dynamic modeling of pathways potentially involving PIP
Integration of PIP structural data with functional predictions
Translational research approaches:
Correlation of PIP levels across patient cohorts with clinical variables
Multi-parameter biomarker panels incorporating PIP
Therapeutic target assessment within system-wide contexts
These integrative approaches can position focused PIP protein studies within broader biological contexts, revealing emergent functions and relationships that might not be apparent through reductionist approaches alone.
Based on the current understanding of PIP protein as reflected in the search results, several research directions appear particularly promising:
Structural biology investigations:
High-resolution structural determination of PIP protein alone and in complex with binding partners
Structure-function analyses to identify critical domains for specific interactions
Molecular dynamics simulations to understand conformational flexibility
Tissue-specific functional studies:
Conditional knockout models to address specific functions in different secretory tissues
Comparative analyses across species to identify evolutionarily conserved functions
Investigation of potential hormone responsiveness beyond prolactin
Disease-related mechanisms:
Exploration of PIP's role in diseases beyond its current diagnostic applications
Investigation of potential therapeutic approaches targeting PIP or its interactions
Biomarker development for early disease detection or treatment monitoring
Technological development:
Novel assays for detecting PIP in biological fluids with increased sensitivity
Imaging approaches for visualizing PIP localization and dynamics in vivo
Engineered PIP variants with altered binding properties for research applications
These research directions leverage PIP's known properties while seeking to address significant knowledge gaps in understanding its physiological and pathological roles.
Several methodological challenges persist in PIP protein research that warrant innovative approaches:
Distinguishing direct from indirect effects:
Challenge: Determining whether observed phenotypes result directly from PIP activity
Potential solution: Develop rapid inducible systems for acute PIP modulation to minimize compensatory mechanisms
Approach: Combine CRISPR-Cas9 with degron-tagged PIP for temporal control of protein levels
Tissue-specific function elucidation:
Challenge: PIP is expressed in multiple exocrine tissues with potentially distinct functions
Potential solution: Create tissue-specific conditional knockout models or organoid systems
Approach: CRISPR-based tissue-specific genome editing with precise spatiotemporal control
Quantification in complex biological samples:
Challenge: Accurate measurement of PIP levels in various biological fluids
Potential solution: Develop standardized, highly sensitive assays with broad dynamic range
Approach: Mass spectrometry-based absolute quantification using isotope-labeled standards
Binding partner identification and validation:
Challenge: Comprehensive mapping of the PIP interactome under various conditions
Potential solution: Proximity labeling approaches combined with mass spectrometry
Approach: BioID or APEX2 fusion proteins to identify context-dependent interaction networks
Addressing these methodological challenges will require interdisciplinary approaches and potentially the development of new technologies specifically tailored to PIP protein research.
Prolactin-Induced Protein (PIP) is a glycoprotein with a molecular weight of approximately 15-17 kDa. It was initially identified as a highly secreted protein in T47D breast cancer cells following treatment with prolactin and androgens . PIP is expressed abundantly in breast cancer cells but is generally low or absent in normal breast cells .
PIP is considered a valuable biomarker associated with both benign and malignant pathological conditions of the mammary gland . It plays a role in modulating immune responses and has been implicated in breast tumorigenesis . PIP expression in breast cancer has been shown to correlate with better prognosis and patient response to chemotherapy . However, some studies suggest that PIP may also play a role in metastasis .
Recombinant human prolactin protein, including PIP, is typically produced using E. coli expression systems. The protein is purified to a high degree, with purity levels exceeding 97% as determined by SDS-PAGE . The recombinant protein is often lyophilized and can be reconstituted in sterile solutions for use in various applications .
PIP has been shown to modulate antitumor immune responses and metastasis in breast cancer models . In vitro studies have demonstrated that stable expression of PIP in breast cancer cell lines does not significantly alter their proliferation, migration, or response to anticancer drugs compared to control cells . However, in vivo studies using mouse models have shown that PIP-expressing tumors display delayed onset and reduced growth, which is associated with higher percentages of natural killer cells and reduced percentages of type 2 T-helper cells in the tumor environment . Paradoxically, PIP expression has also been associated with a higher number of metastatic colonies in the lungs .