OFP12 Antibody

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Description

Antibody Biology and Functions

Antibodies are Y-shaped proteins that neutralize pathogens through mechanisms such as neutralization, agglutination, and complement activation. They bind to specific antigens via their paratopes, triggering immune responses like phagocytosis or ADCC (antibody-dependent cellular cytotoxicity) . Monoclonal antibodies (mAbs) are engineered to target specific epitopes, as seen in therapies for COVID-19 and HIV .

2.1. Monoclonal Antibodies in Viral Research

  • A Vanderbilt study highlights a method to isolate broadly reactive mAbs, such as those targeting SARS-CoV-2 variants and HPIV3. These antibodies exhibit cross-reactivity without off-target effects .

  • A monoclonal antibody (CM12.1) targeting SARS-CoV-2’s NSP12 polymerase was developed for COVID-19 research, though its expression was limited in infected cells .

2.2. DAP12 Antibody (MAB5240)

A commercial antibody (MAB5240) targets DAP12 (TYROBP/KARAP), a signal transducer in natural killer (NK) cells. Its applications include flow cytometry and Western blot detection in NK cells, with a specific band at ~10 kDa .

Potential Interpretations of "OFP12 Antibody"

  • Typographical Error: The term may refer to a lesser-known antibody or a misprint (e.g., "OFP12" vs. "DAP12").

  • Novel Compound: If OFP12 is a newly developed antibody, existing literature may not yet cover it.

  • Specialized Use: It could target a specific antigen not addressed in the provided sources, such as tumor-associated proteins or viral components.

Recommendations for Further Investigation

  • Database Cross-Checking: Search PubMed, ClinicalTrials.gov, or antibody repositories (e.g., Antibody Registry) for OFP12-related studies.

  • Antigen-Specific Research: Investigate whether OFP12 targets a specific protein (e.g., viral RdRp or oncogenic markers).

  • Collaborative Studies: Consider cross-referencing with Vanderbilt’s LIBRA-seq method for broadly reactive antibodies .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
OFP12 antibody; At1g05420 antibody; Transcription repressor OFP12 antibody; Ovate family protein 12 antibody; AtOFP12 antibody
Target Names
OFP12
Uniprot No.

Target Background

Function
OFP12 Antibody is a transcriptional repressor that plays a crucial role in regulating various aspects of plant growth and development. This regulation occurs through the control of BEL1-LIKE (BLH) and KNOX TALE (KNAT) homeodomain transcription factors.
Database Links

KEGG: ath:AT1G05420

STRING: 3702.AT1G05420.1

UniGene: At.51159

Subcellular Location
Nucleus.
Tissue Specificity
Expressed in roots, shoots, stems, flower buds and siliques.

Q&A

What is OFP12 Antibody and how does it differ from other plant-targeting antibodies?

OFP12 Antibody is a research tool designed to recognize and bind to OFP12, a transcriptional repressor involved in regulating various aspects of plant growth and development. Unlike antibodies targeting structural proteins or enzymes, transcription factor antibodies like OFP12 require specific validation approaches due to the often low abundance of their targets.

The antibody likely targets a specific epitope on the OFP12 protein (AT1G05420), which functions as a transcriptional regulator in plants. When selecting this antibody for experiments, researchers should consider the following characteristics that distinguish it from other plant antibodies:

  • Target specificity for the OFP12 transcription factor

  • Recognition of specific domains within the protein structure

  • Cross-reactivity profile with similar plant proteins

  • Optimization requirements for plant tissue applications

Similar to antibody development approaches used for other targets, such as the SARS-CoV-2 NSP12 antibody (CM12.1), proper epitope selection and validation are critical for ensuring specificity and utility in various applications .

What experimental applications are suitable for OFP12 Antibody?

OFP12 Antibody can be utilized in multiple experimental approaches based on established antibody methodologies:

ApplicationTypical DilutionSample PreparationKey Considerations
Western Blot1:500-1:2000Denatured protein lysatesDetection of ~45-50 kDa band (predicted)
Immunohistochemistry1:100-1:500Fixed plant tissue sectionsMay require antigen retrieval
Immunoprecipitation1:50-1:200Native protein extractsBuffer optimization critical
ChIP-seq1:50-1:100Crosslinked chromatinControls for specificity essential

Similar to the validation approach used for CM12.1 against SARS-CoV-2 NSP12, researchers should perform serial dilution experiments to determine optimal antibody concentrations for each application . For immunofluorescence applications, background signal assessment is essential, as demonstrated in the CM12.1 validation where minimal background fluorescence was achieved at appropriate dilutions .

What are critical controls for validating OFP12 Antibody specificity?

Validating antibody specificity requires multiple complementary approaches:

  • Genetic controls: Testing in wild-type versus OFP12 knockout/knockdown plants to confirm signal loss in genetic nulls

  • Peptide competition: Pre-incubating antibody with immunizing peptide to block specific binding sites

  • Overexpression validation: Similar to the approach used for CM12.1 antibody validation, testing in systems overexpressing the target protein

  • Fragment analysis: Testing antibody recognition using protein fragments containing different domains, as demonstrated for CM12.1 where FLAG-tagged NSP12 fragments spanning the entire ORF confirmed epitope specificity

  • Cross-reactivity assessment: Testing against related plant proteins to confirm target selectivity

These validation steps are essential for establishing confidence in experimental results, particularly for antibodies targeting regulatory proteins that may be expressed at low levels.

What analytical approaches help distinguish true OFP12 signal from artifacts?

Distinguishing specific signals from artifacts requires rigorous analytical approaches, especially for antibodies with limited characterization:

  • Band verification: For Western blotting, verify that detected bands match the predicted molecular weight of OFP12 protein (~45-50 kDa predicted). Multiple bands may indicate degradation products, post-translational modifications, or non-specific binding.

  • Cell-type specific analysis: As observed in SARS-CoV-2 studies, protein expression may be cell-type specific. The CM12.1 antibody revealed NSP12 expression in only specific cell populations despite widespread viral infection . Similarly, OFP12 expression may be limited to specific plant cell types or developmental stages.

  • Dual staining approaches: Co-staining with antibodies to known interacting proteins or subcellular compartment markers can provide corroborating evidence for specificity.

  • Statistical analysis of signal distribution: Quantitative analysis of signal distribution patterns can help distinguish random background from biologically relevant signals.

  • Reproducibility analysis: Systematic comparison across biological replicates using image analysis software with standardized thresholding.

What strategies can address inconsistent results with OFP12 Antibody across experiments?

Inconsistent antibody performance is a common challenge in research. Based on experience with technically challenging antibodies like CM12.1, researchers should consider:

  • Antibody storage optimization:

    • Aliquot upon receipt to minimize freeze-thaw cycles

    • Store according to manufacturer recommendations (typically -20°C or -80°C)

    • Add carrier protein (BSA) for diluted antibody stocks

    • Monitor performance over time to detect potential degradation

  • Sample preparation standardization:

    • Standardize tissue collection (time of day, developmental stage)

    • Use consistent sample processing protocols

    • Document all variables that might affect target protein levels

  • Protocol optimization matrix:

ParameterTest RangeAssessment Method
Antibody concentration1:100 to 1:5000 dilution seriesSignal-to-noise ratio
Incubation time1h at RT to overnight at 4°CSignal strength and specificity
Blocking reagentBSA, milk, commercial blockersBackground reduction
Buffer compositionVarying salt and detergent concentrationsBand clarity and specificity
Detection methodECL, fluorescent, colorimetricSensitivity and dynamic range
  • Antibody validation repository: Maintain a laboratory database of validation results, optimal conditions, and lot-to-lot variation data .

How can researchers distinguish between OFP12 Antibody limitations and biological variability?

Distinguishing antibody technical limitations from genuine biological variation requires systematic approaches:

  • Technical replicate analysis: Perform multiple technical replicates to assess reproducibility of detection.

  • Positive control inclusion: Include samples with known OFP12 expression levels in every experiment.

  • Multi-method confirmation: Verify key findings using complementary techniques:

    • Combine protein detection (Western blot) with transcript analysis (qRT-PCR)

    • Complement antibody detection with genetic approaches (reporter lines)

    • Use multiple antibodies targeting different epitopes of the same protein

  • Quantitative assessment: Apply rigorous quantification methods with appropriate statistical analysis:

    • Use image analysis software with standardized settings

    • Apply appropriate statistical tests to distinguish significant differences

    • Consider power analysis to determine adequate sample sizes

  • Systematic variable testing: Methodically test whether variability correlates with specific experimental variables (extraction method, tissue type, developmental stage).

Similar approaches were essential in characterizing antibodies like CM12.1, where detection sensitivity varied significantly between overexpression systems and natural infection contexts .

What cross-reactivity concerns are relevant for OFP12 Antibody research?

Cross-reactivity assessment is critical for antibody research integrity. Drawing from experience with other antibody systems:

  • Homology analysis: OFP family proteins likely share sequence similarity. Researchers should:

    • Perform bioinformatic analysis of related proteins

    • Test antibody against recombinant related proteins

    • Consider epitope uniqueness within the protein family

  • Negative control tissues: Test antibody in tissues where OFP12 expression is absent or in genetic knockout/knockdown lines.

  • Multi-antibody comparison: If available, compare results with other OFP12 antibodies recognizing different epitopes.

  • Cross-reactivity testing matrix:

Potential Cross-ReactantSequence SimilarityTesting ApproachCross-Reactivity Risk
OFP1-11 family membersModerate-HighRecombinant protein testingHigh
Other plant transcription factorsLow-ModerateTissue-specific expression analysisModerate
Non-target proteinsMinimalMass spectrometry of immunoprecipitatesLow

Studies of antibodies against coagulation factors demonstrate that even structurally related proteins like FXII and prothrombin can exhibit distinct antibody binding patterns, highlighting the importance of comprehensive cross-reactivity assessment .

How can OFP12 Antibody be utilized for chromatin immunoprecipitation studies?

Chromatin immunoprecipitation (ChIP) is a powerful technique for studying transcription factor binding sites. Based on experiences with other antibodies:

  • Critical controls for ChIP experiments:

    • Input DNA (pre-immunoprecipitation sample)

    • IgG control (non-specific antibody of same isotype)

    • Positive control loci (known or predicted OFP12 binding sites)

    • Negative control loci (regions not expected to bind OFP12)

  • Sequential ChIP considerations: For studying co-occupancy with other transcription factors, sequential ChIP protocols may be required with specific optimization for antibody elution conditions.

  • Data analysis approaches: Apply appropriate computational methods for peak calling and motif analysis specific to plant transcription factors.

What are methodological considerations for co-immunoprecipitation studies with OFP12 Antibody?

Co-immunoprecipitation (Co-IP) studies can reveal OFP12 protein interaction networks:

  • Buffer optimization to preserve protein-protein interactions:

    • Test multiple extraction conditions (salt concentration, detergent type/concentration)

    • Consider native versus crosslinked approaches

    • Optimize washing stringency to remove non-specific interactions while preserving genuine ones

  • Antibody orientation options:

    • Direct antibody coupling to beads to avoid heavy chain interference

    • Using tagged OFP12 constructs with tag-specific antibodies

    • Pre-clearing lysates to reduce non-specific binding

  • Validation approaches:

    • Reciprocal Co-IP with antibodies against interaction partners

    • Mass spectrometry identification of co-precipitated proteins

    • Confirmation with recombinant protein binding assays

How can researchers develop quantitative assays using OFP12 Antibody?

Developing quantitative assays requires rigorous standardization:

  • Standard curve development:

    • Use recombinant OFP12 protein at known concentrations

    • Process standards alongside experimental samples

    • Generate standard curves covering the expected concentration range

  • Multiplexed detection systems: Consider developing multiplexed assays to simultaneously quantify OFP12 and related proteins or modifications.

  • Sample preparation standardization: Develop and validate consistent extraction protocols specifically optimized for quantitative recovery of the target protein.

  • Assay validation parameters:

ParameterAcceptance CriteriaTesting Approach
SensitivityLOD/LOQ determinationSerial dilution of standards
PrecisionCV <15%Intra- and inter-assay replicates
Accuracy80-120% recoverySpike-recovery experiments
SpecificityMinimal cross-reactivityTesting with related proteins
LinearityR² >0.98Dilutional linearity testing

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