OST4C Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
OST4C antibody; At3g09455 antibody; F11F8.3 antibody; Dolichyl-diphosphooligosaccharide--protein glycosyltransferase subunit 4C antibody
Target Names
OST4C
Uniprot No.

Target Background

Function
OST4C Antibody targets a subunit of the oligosaccharyl transferase (OST) complex. This complex plays a critical role in protein N-glycosylation by catalyzing the initial transfer of a specific glycan (Glc(3)Man(9)GlcNAc(2) in eukaryotes) from the lipid carrier dolichol-pyrophosphate to an asparagine residue within an Asn-X-Ser/Thr consensus motif in nascent polypeptide chains. This process, known as N-glycosylation, occurs cotranslationally and the OST complex associates with the Sec61 complex at the channel-forming translocon complex, which mediates protein translocation across the endoplasmic reticulum (ER). All subunits of the OST complex are essential for optimal enzymatic activity.
Database Links
Protein Families
OST4 family
Subcellular Location
Endoplasmic reticulum membrane; Single-pass type III membrane protein.

Q&A

What is OCT4 and why is it significant in pluripotency research?

OCT4 is a transcription factor that forms part of the core transcriptional network of human embryonic stem cells and regulates the induction of pluripotency in adult cells . It serves as a critical determinant of the pluripotent state in both embryonic stem (ES) cells and induced pluripotency stem (IPS) cells . OCT4's significance lies in its role as:

  • A master regulator of stem cell pluripotency

  • A biomarker for identifying undifferentiated stem cells

  • A key mediator in reprogramming somatic cells to pluripotent states

  • A potential therapeutic target in cancers exhibiting stem-like properties

Research has demonstrated that OCT4 is essential for maintaining the pluripotent state, as its expression levels directly influence cell fate decisions in embryonic development . Unlike many developmental transcription factors, OCT4 is dispensable for the function of adult stem cells in mice, making it an attractive target for cancer therapies without compromising normal stem cell function .

How do OCT4 antibodies work in experimental systems?

OCT4 antibodies are immunoglobulins designed to recognize and bind to specific epitopes within the OCT4 protein. These antibodies function through several mechanisms in experimental systems:

  • Recognition of specific amino acid sequences (epitopes) within the OCT4 protein

  • Binding to OCT4 with high affinity and specificity

  • Enabling detection of OCT4 in various experimental contexts through conjugation with reporter molecules

  • Facilitating immunoprecipitation of OCT4 and associated protein complexes

  • Mediating targeted inhibition of OCT4 function in functional studies

Researchers can use different formats of OCT4 antibodies (monoclonal, polyclonal, recombinant) depending on the experimental requirements. The choice of antibody format affects specificity, sensitivity, and reproducibility of results. Modern antibody technologies allow for custom design of OCT4 antibodies with specific binding properties tailored to particular experimental needs .

What methods can validate OCT4 antibody specificity?

Validating OCT4 antibody specificity is crucial for research reliability. Multiple complementary approaches should be employed:

  • Western blotting to verify binding to OCT4 at the expected molecular weight

  • Immunohistochemistry on known OCT4-positive tissues (e.g., seminoma) and OCT4-negative controls

  • Peptide competition assays to confirm epitope-specific binding

  • Knockout/knockdown validation using OCT4-deficient cell lines as negative controls

  • Cross-platform validation comparing antibody-based detection with OCT4 mRNA expression

  • Immunoprecipitation followed by mass spectrometry to confirm target identity

  • Testing on a panel of cell lines with varying OCT4 expression levels

According to research data, some OCT4 antibodies may cross-react with OCT4 isoforms or related proteins, necessitating thorough validation . Importantly, different OCT4 antibody clones may perform differently across applications, making validation in the specific experimental context essential.

How do OCT4-specific T cells interact with the immune system?

Research has revealed surprising insights about OCT4-specific T cells and natural immunity:

  • OCT4-specific T cells can be readily detected in freshly isolated T cells from most (>80%) healthy donors

  • The reactivity to OCT4-derived peptides resides primarily in the CD45RO+ memory T-cell compartment

  • OCT4-specific T cells consist predominantly of CD4+ T cells

  • T cells reactive against OCT4-derived peptides can be readily expanded in culture using peptide-loaded dendritic cells

  • In contrast to healthy donors, immunity to OCT4 was detected in only 35% of patients with newly diagnosed germ-cell tumors

  • Chemotherapy of germ-cell tumors led to the induction of anti-OCT4 immunity in vivo in patients lacking such responses at baseline

These findings demonstrate the surprising lack of immune tolerance to this critical pluripotency antigen in humans . The observation that most healthy individuals harbor OCT4-specific memory T cells challenges previous assumptions about immune tolerance to stem cell antigens and has significant implications for stem cell-based therapies and immunotherapy approaches.

What experimental controls are essential when using OCT4 antibodies?

Proper experimental controls are critical for ensuring reliable results with OCT4 antibodies:

Control TypeExamplesPurpose
Positive ControlsES cells, embryonal carcinoma lines (e.g., NTERA-2), testicular tissueVerify antibody functionality
Negative ControlsDifferentiated cell lines, OCT4 knockout cells, non-target tissuesAssess background and non-specific binding
Isotype ControlsMatched isotype antibodies at same concentrationEvaluate non-specific binding due to antibody class
Technical ControlsPrimary antibody omission, secondary antibody onlyIdentify background from detection system
Specificity ControlsPeptide competition, multiple antibody clonesConfirm epitope-specific binding
Loading Controlsβ-actin, GAPDH, nuclear proteins (for OCT4)Normalize protein levels in Western blots

Including these controls helps distinguish true OCT4 detection from technical artifacts and allows for more reliable interpretation of experimental results across different systems and applications.

How can researchers design OCT4 antibodies with customized specificity profiles?

Recent advances in antibody engineering allow for sophisticated design of OCT4 antibodies with tailored specificity profiles:

  • Computational design approaches:

    • Biophysics-informed modeling to predict antibody-antigen interactions

    • Identification of different binding modes associated with specific ligands

    • Optimization of binding energies for desired specificity profiles

  • Experimental selection strategies:

    • Phage display selection with high-throughput sequencing

    • Systematic variation of complementary determining regions (CDRs)

    • Negative selection against potential cross-reactive targets

  • Combined approaches:

    • Integration of experimental data with computational models

    • Iterative optimization cycles combining in silico and in vitro methods

    • Machine learning-based prediction of binding properties

Research has demonstrated that these approaches can generate antibodies with either:

  • Specific high affinity for a particular target ligand while excluding others, or

  • Cross-specificity for multiple target ligands

This methodology can be applied to design OCT4 antibodies that specifically recognize certain epitopes or isoforms while excluding others, enhancing experimental precision and therapeutic potential.

What are the challenges in detecting OCT4 in cancer stem cells?

Detecting OCT4 in cancer stem cells presents several unique challenges:

  • Heterogeneous expression: OCT4 expression may be limited to a small subpopulation of cells within tumors

  • Isoform complexity: Multiple OCT4 isoforms exist (OCT4A, OCT4B), with OCT4A being specifically associated with pluripotency

  • Low expression levels: Cancer stem cells may express OCT4 at levels near detection limits of standard assays

  • Subcellular localization: As a transcription factor, OCT4 localizes to the nucleus, requiring efficient nuclear permeabilization

  • Cross-reactivity: Some antibodies may cross-react with related proteins or OCT4 pseudogenes

  • Context-dependent expression: OCT4 expression may be dynamic and influenced by microenvironmental factors

  • Technical artifacts: Fixation and processing methods can affect epitope accessibility

How do OCT4 antibodies compare with other detection methods?

Different methods for OCT4 detection offer complementary advantages and limitations:

MethodAdvantagesLimitationsApplication
Antibody-based IHCVisualizes spatial distribution, Works on FFPE samplesEpitope accessibility issues, Potential cross-reactivityTissue sections, Clinical samples
Flow cytometry with OCT4 antibodiesQuantitative, Single-cell resolution, Multiparameter analysisRequires cell dissociation, Complex permeabilization protocolsCell suspensions, Sorting OCT4+ cells
RNA detection (ISH, RT-PCR)Isoform-specific detection, Not affected by protein modificationsDoes not assess protein expression, Technical complexitymRNA expression analysis, Isoform discrimination
Reporter systems (OCT4-GFP)Live-cell imaging, Dynamic trackingRequires genetic modification, Potential interference with functionDevelopmental studies, Reprogramming experiments
Mass spectrometryDefinitive protein identification, Detects post-translational modificationsLow throughput, Complex sample preparationProteomic analysis, Validation studies

A comprehensive approach often combines multiple methods to overcome limitations of individual techniques. For instance, antibody detection can be validated by correlating with mRNA expression or using reporter systems as reference standards.

What is the relationship between OCT4 immunity and cancer outcomes?

Research has revealed intriguing connections between OCT4 immunity and cancer outcomes:

  • OCT4-specific T cells are detectable in only 35-38% of patients with newly diagnosed germ-cell tumors, in contrast to >80% of healthy donors

  • Chemotherapy treatment of germ-cell tumors induces OCT4-specific T-cell immunity in vivo

  • After completion of chemotherapy, OCT4-specific T cells were detected in 83% of patients tested, including 5 patients who lacked such responses at baseline

  • The induction of antigen-specific T cells after therapy was specific for OCT4, as there were no significant changes in virus-specific T-cell responses

  • This phenomenon may contribute to the high curability of germ-cell tumors, even in advanced stages

These findings suggest that the induction of OCT4-specific immune responses during chemotherapy might play a role in preventing recurrence and contributing to long-term cure. The data provides evidence that curative therapy of germ-cell tumors can lead to the induction of tumor antigen-specific T-cell responses in vivo . This mechanism could potentially be leveraged to enhance cancer immunotherapy approaches.

How can OCT4 antibodies be utilized in therapeutic development?

OCT4 antibodies serve multiple roles in therapeutic development:

  • Cancer vaccine development:

    • Identification of immunogenic OCT4 epitopes for vaccine design

    • Coupling OCT4 epitope antigens to carrier proteins like keyhole limpet hemocyanin (KLH)

    • Combination with immunological adjuvants such as Toll-like receptor 9 agonists (TLR9)

    • Monitoring vaccine-induced immune responses

  • Targeting cancer stem cells:

    • Developing antibody-drug conjugates against OCT4-expressing cells

    • Creating bispecific antibodies linking OCT4+ cells to immune effectors

    • Designing CAR-T cells using OCT4 antibody-derived binding domains

  • Safety monitoring for stem cell therapies:

    • Detecting aberrant OCT4 expression in differentiated cell products

    • Monitoring for potential teratoma formation in stem cell transplants

    • Assessing immune responses to OCT4 following stem cell therapies

  • Diagnostic applications:

    • Identifying OCT4-expressing cells in patient samples

    • Monitoring treatment response in OCT4-positive tumors

    • Detecting minimal residual disease

Research indicates that boosting immunity to OCT4 may be important to minimize the tumorigenicity of induced pluripotent stem cells in clinical applications . Additionally, the immunogenic epitopes of OCT4 could serve as the basis for vaccines for prevention or therapy of several cancers .

What protocols optimize OCT4 antibody performance in immunohistochemistry?

Optimizing OCT4 antibody performance in immunohistochemistry requires attention to several key parameters:

  • Tissue preparation:

    • Fixation: 10% neutral buffered formalin for 24-48 hours (avoid overfixation)

    • Processing: Standard tissue processing protocols

    • Sectioning: 4-5 μm sections on charged slides

  • Antigen retrieval (critical step):

    • Heat-induced epitope retrieval (HIER) using citrate buffer (pH 6.0)

    • Pressure cooker method: 125°C for 3 minutes or 95-100°C for 20 minutes

    • Allow slides to cool slowly to room temperature (20 minutes)

  • Blocking steps:

    • Endogenous peroxidase block: 3% hydrogen peroxide for 10 minutes

    • Protein block: 5-10% normal serum (matching secondary antibody species) for 30-60 minutes

    • Avidin-biotin block (if using biotin-based detection systems)

  • Antibody incubation:

    • Primary antibody dilution: Optimize (typically 1:100 to 1:500)

    • Incubation conditions: Overnight at 4°C or 60 minutes at room temperature

    • Washing: PBS-T (PBS + 0.1% Tween-20), 3 × 5 minutes

  • Detection system:

    • Polymer-based detection systems generally offer superior signal-to-noise ratio

    • Development time with DAB: 5-10 minutes (monitor microscopically)

    • Counterstain: Hematoxylin for 30-60 seconds

Including appropriate positive controls (seminoma or embryonal carcinoma) and negative controls (primary antibody omission, isotype control) is essential for result interpretation. Nuclear staining pattern is expected for OCT4, with cytoplasmic staining potentially indicating non-specific binding or recognition of OCT4B isoform.

How should researchers design experiments to study OCT4-specific T-cell responses?

Based on published protocols for studying OCT4-specific T-cell responses, researchers should consider:

  • Cell isolation and preparation:

    • Isolate peripheral blood mononuclear cells (PBMCs) using density gradient centrifugation

    • For enriched responses, isolate CD45RO+ memory T cells (where most OCT4-reactive T cells reside)

    • Prepare dendritic cells from monocytes using standard protocols for antigen presentation

  • Antigen preparation:

    • Use overlapping peptide pools spanning the OCT4 sequence (typically 15-mers overlapping by 11 amino acids)

    • Load peptides onto dendritic cells for enhanced presentation

    • Include positive controls (viral peptides like CMV, EBV, influenza) and negative controls

  • T-cell assays:

    • ELISPOT for detecting IFN-γ or IL-2 secretion in response to OCT4 stimulation

    • Flow cytometry for intracellular cytokine staining

    • Proliferation assays using CFSE dilution or tritiated thymidine incorporation

    • Cytotoxicity assays against OCT4-expressing target cells

  • Experimental design considerations:

    • Include age and gender-matched controls

    • Compare responses between healthy donors and patients with relevant diseases

    • Assess longitudinal changes in responses (e.g., before and after chemotherapy)

    • Control for non-specific stimulation using PHA or anti-CD3/CD28

Research has shown that OCT4-specific T cells consist predominantly of CD4+ T cells and can be readily expanded in culture using peptide-loaded dendritic cells . Importantly, researchers should note that OCT4-specific immunity is detected in only 38% of patients with newly diagnosed germ-cell tumors compared to >80% of healthy donors .

What computational approaches enhance OCT4 antibody design and analysis?

Advanced computational methods can significantly improve OCT4 antibody design and analysis:

  • Structural modeling approaches:

    • Homology modeling of antibody variable domains

    • Molecular docking to predict antibody-OCT4 interactions

    • Molecular dynamics simulations to assess binding stability

    • Free energy calculations to estimate binding affinity

  • Machine learning applications:

    • Training models on high-throughput antibody sequencing data

    • Identifying sequence patterns associated with OCT4 specificity

    • Predicting cross-reactivity with related proteins

    • Optimizing complementarity-determining regions (CDRs) for enhanced binding

  • Biophysics-informed modeling:

    • Energy function modeling to predict antibody-antigen interactions

    • Identification of different binding modes for specific epitopes

    • Optimization of binding energies for desired specificity profiles

  • Library design and analysis:

    • In silico library creation with focused diversity

    • Virtual screening of antibody libraries against OCT4

    • Analysis of selection experiment results to identify enriched motifs

    • Computational maturation to enhance affinity and specificity

Research has demonstrated that computational design can generate antibodies with customized specificity profiles, either with specific high affinity for a particular target ligand or with cross-specificity for multiple target ligands . These approaches can significantly accelerate antibody development while reducing experimental costs.

How can researchers integrate OCT4 antibody data into comprehensive databases?

Researchers can systematically organize OCT4 antibody data through several approaches inspired by existing antibody databases:

  • Data collection methodology:

    • Extract OCT4 antibody sequences from literature and patents

    • Use standardized tools like ANARCI to identify antibody variable domains

    • Remove sequences with missing residues in CDR regions

    • Apply confidence metrics for pairing heavy and light chains

  • Database organization:

    • Categorize by source (literature, patents, crystal structures)

    • Include metadata on validation methods and applications

    • Link to functional data (binding affinity, specificity profiles)

    • Provide cross-references to structural databases when available

  • Data standards:

    • Standardized annotation of complementarity-determining regions (CDRs)

    • Consistent germline gene assignment

    • Unified epitope mapping representation

    • Standardized experimental validation criteria

  • Integration with broader resources:

    • Link to protein databases containing OCT4 sequence and structure

    • Connect to immunological epitope databases

    • Interface with cancer databases for clinical relevance

    • Integrate with stem cell research repositories

According to database statistics from similar initiatives, the number of antibody sequences that could be collected has been steadily growing since the early 2000s, with approximately 10,000-30,000 new antibody sequences being published each year for the last 5 years . Such approaches enable more efficient data sharing and comparison across the research community.

What quality control measures ensure reliable OCT4 antibody results?

Implementing rigorous quality control is essential for reliable OCT4 antibody experimental results:

  • Antibody validation requirements:

    • Confirm target specificity through multiple orthogonal methods

    • Test on positive and negative control samples

    • Verify binding to the intended OCT4 isoform

    • Document lot-to-lot consistency

  • Experimental controls:

    • Include appropriate positive controls (ES cells, seminoma)

    • Use proper negative controls (OCT4-negative tissues, knockout validation)

    • Implement technical controls (isotype, secondary-only)

    • Include biological replicates to assess reproducibility

  • Standardization measures:

    • Optimize and standardize protocols across experiments

    • Use consistent batches of reagents when possible

    • Implement standard operating procedures (SOPs)

    • Apply quantitative metrics for result assessment

  • Documentation requirements:

    • Record complete antibody information (clone, lot, dilution)

    • Document all experimental conditions in detail

    • Maintain comprehensive records of controls and validations

    • Report any limitations or potential artifacts

  • Independent verification:

    • Confirm key findings with alternative antibody clones

    • Validate using complementary detection methods

    • Compare results across different experimental systems

    • Consider blind analysis to minimize bias

Systematic application of these quality control measures helps ensure that findings related to OCT4 expression and function are robust, reproducible, and physiologically relevant rather than artifacts of experimental procedures.

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