OFP4 Antibody

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Description

Definition and Protein Overview

OLFM4 (Olfactomedin 4) is a glycoprotein encoded by the OLFM4 gene in humans. It functions as an antiapoptotic factor, promoting tumor growth and facilitating cell adhesion through interactions with the extracellular matrix . Structurally, OLFM4 contains a characteristic olfactomedin domain, which is conserved across its family members.

CharacteristicDescription
GeneOLFM4
FunctionAntiapoptotic, tumor growth promotion, cell adhesion
ExpressionInflamed colonic epithelium, tumor tissues (e.g., colon, rectal cancer)
Role in DiseaseOncogenic; implicated in colorectal cancer progression

Antibody Structure and Mechanism

The Anti-OLFM4 Antibody (e.g., A04094-1 from Bosterbio) is a rabbit-derived monoclonal antibody designed to target the OLFM4 protein . Its structure aligns with conventional immunoglobulins, featuring heavy and light chains with variable regions (paratopes) that bind to specific epitopes on the protein.

Key Features:

  • Isotype: Rabbit IgG

  • Epitope: OLFM4 protein (extracellular domain)

  • Applications: ELISA, IHC, WB, Immunofluorescence

  • Validation: Tested on human colon and rectal cancer tissues using heat-mediated antigen retrieval and biotinylated secondary antibodies .

Applications in Research

The antibody is primarily used to study OLFM4 expression in cancer models and inflammatory tissues.

Use Cases:

  • Immunohistochemistry (IHC): Detects OLFM4 in paraffin-embedded tumor sections (e.g., colon, rectal cancer) .

  • Western Blot (WB): Validates protein presence in lysates from cancer cells.

  • ELISA: Quantifies OLFM4 levels in serum or lysates for biomarker studies.

Protocols:

AssayKey Steps
IHCAntigen retrieval (citrate buffer, pH 6), blocking (10% goat serum), overnight incubation (4°C)
WBSDS-PAGE, transfer to PVDF membrane, detection with ECL reagents
ELISASandwich assay with biotinylated secondary antibodies and SABC (Strepavidin-Biotin Complex)

Clinical and Pathological Significance

OLFM4 overexpression correlates with tumor aggressiveness and poor prognosis in colorectal cancer. The antibody enables researchers to:

  • Diagnose OLFM4-positive tumors for personalized therapies.

  • Monitor treatment response by tracking protein levels.

  • Investigate mechanisms linking inflammation to cancer progression .

Research Findings

Recent studies highlight the antibody’s utility in:

  • Detecting OLFM4 in colonic epithelial cells during inflammation .

  • Identifying tumor-specific expression patterns in rectal cancer tissues .

  • Validating OLFM4 as a therapeutic target in oncology .

Comparative Analysis

Below is a table comparing the Anti-OLFM4 Antibody with other oncology-related antibodies:

AntibodyTargetApplicationSource
A04094-1 (OLFM4)OLFM4ELISA, IHC, WBBosterbio
Anti-PF4Platelet Factor 4Thrombosis researchNature
Anti-IgG (Fc)Fc regionImmune modulationWikipedia

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
OFP4 antibody; At1g06920 antibody; F4H5.2 antibody; Transcription repressor OFP4 antibody; Ovate family protein 4 antibody; AtOFP4 antibody
Target Names
OFP4
Uniprot No.

Target Background

Function
OFP4 is a transcriptional repressor that plays a crucial role in regulating various aspects of plant growth and development. It achieves this by modulating the activity of BEL1-LIKE (BLH) and KNOX TALE (KNAT) homeodomain transcription factors. Notably, OFP4 forms a transcription repression complex with KNAT7, which is directly involved in regulating secondary cell wall formation.
Gene References Into Functions
  1. KNAT7 interacts with OFP proteins to form a functional complex that regulates aspects of secondary cell wall formation. PMID: 21457372
Database Links

KEGG: ath:AT1G06920

STRING: 3702.AT1G06920.1

UniGene: At.65891

Subcellular Location
Nucleus.
Tissue Specificity
Expressed in root vascular cylinder, root tips, xylem of stems, flower buds and siliques.

Q&A

What is P4-mediated antibody therapy and how does it function in bacterial infections?

P4-mediated antibody therapy represents a novel treatment strategy that combines exogenous immunoglobulin with the immunoactivating peptide P4. This approach has shown significant promise in treating severe bacterial infections where antibiotic responses may be slow or compromised due to antimicrobial resistance. The therapy works by enhancing immune cell activation and phagocytosis of pathogens.

In experimental models of pneumococcal disease, P4-IVIG (P4 combined with intravenous immunoglobulin) increased survival rates from 0% to 60% with intravenous administration and from 0% to 100% with intranasal administration. The enhanced survival correlates with reduced bacterial burden in affected tissues and increased recruitment and activation of professional phagocytes .

Mechanistically, P4-mediated antibody therapy works by:

  • Increasing expression of Fc-γ receptors on immune cells

  • Enhancing phagocytic capacity of alveolar, peritoneal, and J774.2 murine macrophages

  • Functioning independently of bacterial capsule types, making it potentially effective against various strains

How are P4-ATPases identified and isolated from tissue samples?

P4-ATPases are a subfamily of P-type ATPases that flip phospholipids across membranes to generate lipid asymmetry, playing vital roles in numerous cellular processes. The identification and isolation of these proteins present significant challenges due to their typically low expression levels and the limited availability of specific antibodies for detection.

A highly effective method for isolating P4-ATPases involves immunoaffinity-based mass spectrometry:

  • Tissue preparation: Tissues are homogenized and solubilized with appropriate detergents

  • Immunoaffinity purification: Using antibodies against CDC50A (a common binding partner of P4-ATPases)

  • Elution: Specifically bound P4-ATPase-CDC50A complexes are eluted with competing peptides

  • Mass spectrometry: Eluates undergo trypsin digestion and analysis by tandem mass spectrometry (MS/MS)

Using this methodology, researchers have successfully identified ten distinct P4-ATPase-CDC50A complexes across five mouse tissues (retina, brain, liver, testes, and kidney), with varying tissue distribution and abundance profiles. Some P4-ATPases (ATP8A1, ATP11A, ATP11B, ATP11C) were detected in all five tissues, while others showed tissue-specific expression patterns .

What is the relationship between P4 medicine and antibody development?

P4 medicine represents a paradigm shift in healthcare that encompasses Predictive, Preventive, Personalized, and Participatory approaches (sometimes extended to P5 to include Promotive aspects). In the context of antibody research, P4 medicine provides a framework for developing targeted antibody therapeutics tailored to individual genetic profiles.

The approach to P4 medicine in antibody development involves:

The integration of multi-omic approaches is particularly relevant in correlating genotype to phenotype and medicinal plant efficacy. This has applications in identifying biomarkers for personalized antibody therapies, though there remain significant challenges in discovery, development, and delivery of these approaches .

How can researchers optimize detection methods for P4-ATPases when developing specific antibodies?

Developing and optimizing detection methods for P4-ATPases presents significant challenges due to their often low expression levels and structural complexity. When developing specific antibodies against these proteins, researchers should consider several technical approaches:

  • Epitope selection: Target unique and accessible regions of P4-ATPases, avoiding highly conserved domains that may lead to cross-reactivity with other P-type ATPases

  • Validation across multiple techniques: Employ a combination of:

    • Western blotting (with appropriate controls)

    • Immunofluorescence microscopy

    • Immunoprecipitation followed by mass spectrometry

    • ELISA

  • Tissue-specific optimization: Based on expression profiles identified through proteomic analysis:

P4-ATPaseHigh Expression TissuesDetection MethodOptimal Antibody Dilution
ATP8A1Brain (57% of total)Western blot1:500-1:1000
ATP8A2Retina, brain, testesMS/MSN/A
ATP8B1LiverWestern blot1:200-1:500
ATP11AKidney (81% of total)Western blot1:500-1:1000
ATP11CLiver (95% of total)Western blot1:200-1:500
  • Monoclonal vs. polyclonal approaches: Consider using monoclonal antibodies (like Cdc50-7F4) for highly specific applications such as immunoaffinity purification, while polyclonal antibodies may provide better detection in Western blotting

  • Cross-validation: Always validate antibody specificity using knockout/knockdown models or competing peptides to ensure signal specificity

What are the key considerations when designing experiments to study P4-mediated antibody function in different infection models?

When designing experiments to evaluate P4-mediated antibody function across different infection models, researchers should consider several critical factors to ensure robust and translatable results:

  • Route of administration optimization:

    • Intravenous administration: Shows moderate efficacy (60% survival in pneumococcal models)

    • Intranasal administration: Demonstrates superior efficacy (100% survival) and prevents bacteremia progression

    • Consider the natural infection route when selecting administration methods

  • Dosing and timing parameters:

    • Establish dose-response relationships for both P4 peptide and immunoglobulin components

    • Determine optimal timing relative to infection establishment

    • Evaluate prophylactic versus therapeutic administration timing

  • Selection of appropriate readouts:

    • Survival rates as primary endpoint

    • Bacterial burden in tissues (CFU measurements)

    • Immune cell recruitment and activation markers

    • Fc-γ receptor expression levels on phagocytes

    • Phagocytic activity measurements (ex vivo and in vitro)

  • Control groups:

    • Untreated infected controls

    • Immunoglobulin-only controls

    • P4-peptide-only controls

    • Standard-of-care antibiotic controls

  • Host and pathogen variables:

    • Test across multiple host genetic backgrounds

    • Evaluate efficacy against encapsulated versus non-encapsulated bacterial strains

    • Assess activity against antibiotic-resistant isolates

  • Translation considerations:

    • In vitro validation using human immune cells

    • Ex vivo studies with human samples

    • Scale-up considerations for large animal models prior to clinical studies

How do anti-PF4 antibody research methodologies inform the study of other antibody-mediated thrombotic conditions?

While anti-PF4 antibodies (directed against Platelet Factor 4) are distinct from P4 antibodies, the methodologies used in their research provide valuable insights for studying similar antibody-mediated conditions. These approaches are particularly relevant when investigating thrombotic complications associated with various treatments or disease states.

Key methodological considerations include:

  • Antibody isotype profiling: Different anti-PF4 antibody isotypes have varying clinical implications. Studies have shown increased levels of multiple anti-PF4 antibody isotypes in pulmonary embolism patients, suggesting comprehensive isotype profiling should be incorporated into research protocols .

  • Temporal dynamics assessment: Anti-PF4 antibody levels should be monitored longitudinally, as research has shown they can remain elevated (>1.0 OD) for over 7 months in some conditions like vaccine-induced immune thrombocytopenia and thrombosis (VITT) .

  • Functional vs. binding assays: Research indicates that total anti-PF4 antibody levels may remain similar over time while their functional platelet-activating capacity decreases. This highlights the importance of incorporating both binding assays (ELISA) and functional assays (platelet activation) .

  • Environmental factors analysis: Studies have demonstrated that while anti-PF4 antibodies may be present, additional factors such as glycosaminoglycans (GAGs) and inflammatory biomarkers play crucial roles in determining pathogenicity. A comprehensive approach should measure:

    • Anti-PF4 antibody levels

    • Endogenous GAG levels

    • Inflammatory markers (especially IL-6, IL-8, and IL-10)

  • Genetic contribution assessment: Genome-wide association studies (GWAS) of anti-PF4/heparin antibody levels have shown limited genetic contribution to variable antibody responses, suggesting environmental and treatment factors may be more significant determinants than genetic predisposition .

What role do P4-ATPase antibodies play in tissue-specific research applications?

P4-ATPase antibodies serve as crucial tools for understanding tissue-specific lipid asymmetry and membrane dynamics. Research applications vary significantly based on tissue expression patterns and the specific P4-ATPase being studied:

  • Neurological research applications:

    • Brain tissues express significant levels of ATP8A1 (57% of total P4-ATPases)

    • ATP8A2 is present in both retina and brain

    • These tissue-specific expressions suggest roles in neuronal membrane maintenance and potential implications for neurological disorders

  • Hepatic research applications:

    • Liver tissues predominantly express ATP11C (95% of total P4-ATPases)

    • ATP8B1 is exclusively found in liver among the studied tissues

    • Antibodies targeting these specific P4-ATPases can help elucidate liver-specific lipid transport mechanisms and bile formation

  • Reproductive biology applications:

    • Testes show the most diverse P4-ATPase expression profile

    • ATP8B3 and ATP10A are exclusively found in testes

    • These patterns suggest specialized roles in sperm membrane dynamics and fertility

  • Methodological considerations for tissue-specific research:

    • Select antibodies based on known tissue expression profiles

    • Validate antibody specificity in the specific tissue of interest

    • Consider cross-reactivity potential in tissues with multiple P4-ATPase expressions

    • Employ tissue-specific knockout models for definitive functional studies

  • Phospholipid substrate specificity:

    • Different P4-ATPases have distinct phospholipid transport preferences

    • ATP11 family members (ATP11A, ATP11B, ATP11C) specifically transport phosphatidylserine (PS) and phosphatidylethanolamine (PE)

    • Understanding these specificities is crucial when designing experiments using P4-ATPase antibodies for functional studies

How can researchers address cross-reactivity issues when working with P4-ATPase antibodies?

Cross-reactivity presents a significant challenge when working with P4-ATPase antibodies due to sequence homology among family members. Addressing these issues requires systematic approaches:

  • Epitope selection strategies:

    • Target non-conserved regions identified through sequence alignment analysis

    • Focus on N-terminal or C-terminal domains, which typically show greater sequence diversity

    • Avoid the nucleotide-binding domain and phosphorylation domain which are highly conserved

  • Validation in knockout/knockdown models:

    • Generate cell lines with CRISPR/Cas9-mediated knockout of specific P4-ATPases

    • Verify antibody specificity by confirming signal absence in knockout models

    • Use siRNA knockdown as an alternative approach for validation

  • Absorption controls:

    • Pre-absorb antibodies with recombinant target proteins

    • Include competition experiments with immunizing peptides

    • Evaluate signal reduction in Western blots or immunofluorescence

  • Characterization of cross-reactivity profiles:

    • Systematically test antibodies against all P4-ATPase family members

    • Document cross-reactivity patterns in different applications (WB, IP, IHC)

    • Create a reference matrix for expected cross-reactivity

  • Application-specific optimization:

    • Western blotting: Use gradient gels to better separate P4-ATPases with similar molecular weights

    • Immunoprecipitation: Increase wash stringency to reduce non-specific binding

    • Immunohistochemistry: Optimize fixation methods to preserve epitope accessibility while maintaining tissue morphology

What analytical approaches help differentiate between specific P4-antibody binding and background signals in complex tissue samples?

Distinguishing specific P4-antibody binding from background signals in complex tissue samples requires sophisticated analytical approaches:

  • Advanced immunohistochemical techniques:

    • Multiple labeling with antibodies to known tissue markers

    • Sequential antibody application and stripping for co-localization studies

    • Spectral imaging to differentiate true signal from autofluorescence

  • Quantitative image analysis:

    • Automated signal intensity quantification using software like ImageJ

    • Background subtraction algorithms customized for tissue-specific autofluorescence

    • Statistical validation of signal-to-noise ratios across multiple samples

  • Biochemical validation methods:

    • Subcellular fractionation to enrich for membrane fractions containing P4-ATPases

    • Parallel analysis of fractions by Western blotting and mass spectrometry

    • Correlation of antibody signal intensity with spectral counts from proteomics

  • Controls for mass spectrometry-based validation:

    • Use isotope-labeled peptides as internal standards

    • Compare antibody-based enrichment with direct proteomics

    • Establish detection limits and dynamic range for each P4-ATPase

  • Statistical approaches for multichannel imaging:

    • Pearson's correlation coefficient for co-localization analysis

    • Manders' overlap coefficient for partial co-localization

    • Intensity correlation analysis to distinguish random overlap from true co-localization

How can researchers integrate proteomics and antibody-based approaches to comprehensively study P4-ATPases?

Integrating proteomics with antibody-based approaches creates a powerful methodology for comprehensive P4-ATPase research:

  • Sequential enrichment strategies:

    • Initial enrichment of membrane fractions containing P4-ATPases

    • Secondary immunoaffinity purification using CDC50A antibodies (e.g., Cdc50-7F4)

    • Tertiary enrichment with specific P4-ATPase antibodies for subgroup analysis

  • Unbiased discovery followed by targeted validation:

    • Use mass spectrometry for initial identification of P4-ATPases in tissues

    • Develop or select antibodies based on proteomic findings

    • Validate antibodies against the specifically identified P4-ATPases

  • Quantitative correlation between methods:

    • Compare spectral intensities from MS/MS with signal intensities from Western blotting

    • Establish calibration curves for absolute quantification

    • Cross-validate between multiple antibodies targeting different epitopes of the same protein

  • Functional characterization workflow:

    • Immunoaffinity purification of native P4-ATPase complexes

    • Mass spectrometry identification and quantification

    • Reconstitution into liposomes for functional flippase assays

    • Correlation of structural features with enzymatic activities

  • Complex formation analysis:

    • Co-immunoprecipitation with CDC50A antibodies to pull down associated P4-ATPases

    • Reverse co-immunoprecipitation with specific P4-ATPase antibodies

    • Analysis of stoichiometry and complex stability across different tissues

How might P4-mediated antibody approaches be adapted for emerging pathogens or antimicrobial resistance challenges?

The adaptability of P4-mediated antibody therapy offers significant potential for addressing emerging pathogens and antimicrobial resistance:

  • Adjunctive therapy strategies:

    • Combining P4-mediated antibody therapy with conventional antibiotics

    • Targeting antibiotic-resistant bacterial populations through enhanced phagocytosis

    • Creating sequential treatment protocols that reduce selective pressure for resistance

  • Modifications for pathogen-specific optimization:

    • Engineering P4 peptide variants with enhanced binding to specific pathogen components

    • Developing combination therapies with pathogen-specific monoclonal antibodies

    • Creating targeted delivery systems for respiratory, bloodstream, or mucosal infections

  • Biofilm-targeting applications:

    • Adapting P4-mediated antibody approaches to enhance penetration of biofilms

    • Combining with biofilm-disrupting enzymes

    • Developing pulsed-delivery systems for chronic biofilm-associated infections

  • Host-directed immunomodulation:

    • Fine-tuning P4 peptide design to optimize specific immune cell recruitment

    • Balancing pro-inflammatory and anti-inflammatory responses

    • Developing tissue-specific delivery to reduce systemic effects

  • Emerging research directions:

    • Evaluating P4-mediated approaches against multidrug-resistant Gram-negative pathogens

    • Investigating applications in viral-bacterial co-infections

    • Exploring potential in fungal infections with limited treatment options

What research gaps exist in understanding the relationship between P4 medicine principles and antibody-based precision therapies?

Despite advances in P4 medicine and antibody technologies, significant research gaps remain in connecting these fields:

  • Predictive biomarker limitations:

    • Incomplete understanding of antibody response predictors across diverse populations

    • Limited longitudinal data connecting genomic variants to antibody responses

    • Need for enhanced computational models integrating multi-omic data with antibody function

  • Preventive application challenges:

    • Unclear thresholds for preventive antibody interventions

    • Limited understanding of long-term effects of prophylactic antibody administration

    • Need for better identification of at-risk populations who would benefit most

  • Personalization barriers:

    • Genomic studies show limited genetic contribution to anti-PF4/heparin antibody responses

    • Genome-wide association studies have failed to identify significant variants associated with antibody levels at genome-wide significance

    • Environmental and treatment factors may be more significant determinants than genetics

  • Participatory implementation gaps:

    • Need for improved patient education about antibody-based therapies

    • Limited data on patient preferences and decision-making around preventive antibody treatments

    • Challenges in communicating complex immune response data to patients

  • Economic and accessibility considerations:

    • High costs of personalized antibody therapies limiting widespread implementation

    • Need for simplified production and delivery systems for global access

    • Limited evidence for cost-effectiveness of personalized antibody approaches

How can emerging reverse-engineering techniques improve the development of synthetic antibodies for research and therapeutic applications?

Reverse-engineering techniques represent a cutting-edge approach to antibody development that can significantly enhance research and therapeutic applications:

  • Mass spectrometry-based antibody sequencing:

    • Direct identification of antibody sequences from serum or plasma samples

    • Bypassing traditional B-cell sorting and cloning methods

    • Enabling recovery of disease-relevant antibodies from limited patient samples

  • Applications to rare antibody recovery:

    • Identification of highly stereotypic anti-PF4 antibodies from patients with VITT

    • Characterization of identical IGLV3-21*02 allelic light chains with shared HCDR3 motifs

    • Reconstruction of these antibodies for mechanistic studies of rare adverse events

  • Functional characterization workflow:

    • Construction of Ig heavy and light chain genes from MS-derived amino acid sequences

    • Expression as full-length IgG1 proteins in CHO cells

    • Validation via anti-PF4 ELISA and biolayer interferometry (BLI)

    • Epitope mapping using ELISA-based approaches

  • Advantages for challenging research contexts:

    • Enables study of antibodies from rare conditions with limited sample availability

    • Provides insight into molecular features mediating binding to charged epitopes

    • Creates reagents for mechanistic studies of pathogenic autoantibodies

  • Future directions:

    • Development of antibody libraries based on reverse-engineered sequences

    • Creation of modified antibodies with enhanced specificity or reduced pathogenicity

    • Application to other rare antibody-mediated conditions beyond VITT

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