CYP78A11 Antibody

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Description

Nomenclature or Typographical Errors

  • The term "CYP78A11" does not correspond to any validated cytochrome P450 family member in humans, plants, or model organisms.

  • Potential candidates with similar nomenclature include CYP78A1, CYP78A5, or CYP78A7, which are well-characterized in Arabidopsis and other species .

Emerging or Hypothetical Targets

  • If "CYP78A11" represents a newly proposed or uncharacterized enzyme, no peer-reviewed studies or commercial antibodies have been documented.

  • Current research on cytochrome P450 enzymes focuses on isoforms like CYP1A1, CYP1B1, or CYP2W1, which are validated therapeutic or diagnostic targets .

Antibody Availability

  • Major antibody vendors (e.g., Abcam, Cell Signaling Technology, Sigma-Aldrich) do not list products for "CYP78A11" as of March 2025 .

  • Validated antibodies for related isoforms include:

TargetAntibody Catalog #VendorApplications
CYP1A1ab235185AbcamWB, IHC, ICC/IF
CYP1B1sc-28365Santa Cruz BiotechnologyWB, IHC
CYP78A5/7Not commercially listedN/AResearch-grade only

Research Implications

  • Functional redundancy: CYP78A subfamily members (e.g., CYP78A5/7) regulate cell fate decisions in plants, but homologs in mammals remain poorly understood .

  • Technical limitations: Antibody development requires extensive validation across multiple platforms (e.g., Western blot, immunohistochemistry), which is absent for "CYP78A11" .

Recommendations for Further Investigation

  • Verify the target’s nomenclature through databases like UniProt or NCBI Gene.

  • Explore homology with characterized isoforms using protein alignment tools.

  • Initiate antibody development workflows if the target is novel, including immunogen design and cross-reactivity testing .

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
CYP78A11; PLA1; Os10g0403000; LOC_Os10g26340; OSJNBa0044A10.17; Cytochrome P450 78A11; Protein PLASTOCHRON1
Target Names
CYP78A11
Uniprot No.

Target Background

Function
CYP78A11 Antibody plays a role in the regular timing (plastochron) of lateral organ formation. It may regulate the rate of leaf initiation and the duration of the vegetative phase. While exhibiting functional redundancy with PLASTOCHRON2, CYP78A11 operates through an independent pathway.
Database Links
Protein Families
Cytochrome P450 family
Subcellular Location
Membrane; Single-pass membrane protein.
Tissue Specificity
Expressed in seedlings, shoot apices and young panicles, but not in mature leaves, calli and roots.

Q&A

What is CYP78A11 and what biological functions does it serve?

CYP78A11 belongs to the cytochrome P450 family of enzymes within the CYP78A subfamily. Similar to related proteins like CYP78A5 and CYP78A7, it likely functions as a monooxygenase that catalyzes oxidation reactions by inserting one oxygen atom into a substrate while reducing the second into a water molecule . Based on studies of related family members, CYP78A11 is believed to play significant roles in plant development, particularly in cell fate determination and tissue differentiation processes .

CYP78A family members have been shown to regulate embryonic development and shoot apical meristem maintenance. For instance, CYP78A5 and CYP78A7 affect suspensor-to-embryo conversion and control stem cell pool formation in the shoot meristem . The expression patterns of these related enzymes suggest tissue-specific functions during key developmental processes, with pronounced expression in embryonic tissues and developing shoot structures.

How should researchers select between polyclonal and monoclonal CYP78A11 antibodies?

The selection between polyclonal and monoclonal CYP78A11 antibodies depends on experimental objectives and technical considerations:

Polyclonal antibodies:

  • Recognize multiple epitopes on CYP78A11, providing stronger signal detection

  • Offer greater tolerance to minor protein denaturation or modifications

  • Useful for applications requiring high sensitivity such as initial expression studies

  • May exhibit higher background and potential cross-reactivity with related CYP78A family members due to sequence homology

Monoclonal antibodies:

  • Target a single epitope, offering higher specificity

  • Provide more consistent results across different batches

  • Preferable for quantitative applications and when distinguishing between closely related CYP proteins

  • May have lower sensitivity compared to polyclonal options

What validation methods should be employed to confirm CYP78A11 antibody specificity?

Rigorous validation of CYP78A11 antibody specificity is essential before conducting extensive experiments. Recommended validation approaches include:

  • Western blot analysis:

    • Test against recombinant CYP78A11 protein alongside related family members

    • Confirm single band of expected molecular weight (~55-60 kDa)

    • Include knockout/knockdown samples as negative controls

    • Perform peptide competition assay to confirm specific binding

  • Immunohistochemistry controls:

    • Compare staining patterns with mRNA expression data from in situ hybridization

    • Use tissues from CYP78A11 knockout or knockdown plants as negative controls

    • Include technical controls (primary antibody omission, isotype controls)

    • Validate expression patterns across different tissues and developmental stages

  • Cross-reactivity assessment:

    • Test antibody against recombinant CYP78A5 and CYP78A7 proteins

    • Evaluate signal in tissues with known differential expression of CYP78A family members

    • Consider computational epitope analysis to predict potential cross-reactivity

  • Multiple antibody comparison:

    • When possible, compare results from antibodies targeting different epitopes of CYP78A11

    • Consistent results across different antibodies increase confidence in specificity

What are the optimal protocols for using CYP78A11 antibody in Western blotting?

For successful Western blot detection of CYP78A11, researchers should consider the following methodological details:

  • Sample preparation:

    • Extract proteins using buffer containing 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 1% Triton X-100, 0.5% sodium deoxycholate, and protease inhibitor cocktail

    • For membrane-associated cytochrome P450 enzymes, include 0.1-0.5% detergent to ensure efficient extraction

    • Sonicate briefly (3 × 10 seconds) to improve solubilization

    • Centrifuge at 15,000g for 15 minutes at 4°C to remove debris

  • Gel electrophoresis and transfer:

    • Use 10-12% SDS-PAGE for optimal separation

    • Load 20-30 μg total protein per lane

    • Transfer to PVDF membrane (preferred over nitrocellulose for hydrophobic proteins)

    • Use semi-dry transfer at 15V for 60 minutes or wet transfer at 30V overnight at 4°C

  • Blocking and antibody incubation:

    • Block with 5% non-fat milk in TBST for 1 hour at room temperature

    • Dilute primary antibody 1:1000 in blocking solution

    • Incubate overnight at 4°C with gentle agitation

    • Wash 5 × 5 minutes with TBST

    • Incubate with HRP-conjugated secondary antibody (1:5000-1:10000) for 1 hour at room temperature

  • Detection optimization:

    • Use enhanced chemiluminescence (ECL) detection system

    • For weak signals, consider extended exposure times or signal enhancement reagents

    • Include positive control and molecular weight markers

    • Perform densitometric analysis normalized to loading controls (actin or GAPDH)

How can immunohistochemistry protocols be optimized for CYP78A11 detection in plant tissues?

Successful immunohistochemical detection of CYP78A11 in plant tissues requires careful optimization:

  • Tissue fixation and processing:

    • Fix tissues in 4% paraformaldehyde in PBS (pH 7.4) for 12-24 hours at 4°C

    • For embryonic tissues, reduce fixation time to 4-8 hours to preserve antigenicity

    • Dehydrate through graded ethanol series (30%, 50%, 70%, 85%, 95%, 100%)

    • Clear with xylene substitute and embed in paraffin

    • Section at 5-8 μm thickness using a rotary microtome

  • Antigen retrieval methods:

    • Heat-induced epitope retrieval: 10 mM sodium citrate buffer (pH 6.0) at 95°C for 10-20 minutes

    • For challenging detection, try enzymatic retrieval with 0.1% trypsin at 37°C for 10 minutes

    • For plant tissues, include cell wall digestion step (1% cellulase, 0.5% macerozyme in PBS for 15 minutes)

  • Blocking and antibody incubation:

    • Block with 5% normal serum (from secondary antibody species) with 0.3% Triton X-100

    • Add 1% BSA to reduce non-specific binding

    • Dilute primary antibody 1:100-1:200 in blocking solution

    • Incubate overnight at 4°C in a humidified chamber

    • For fluorescent detection, use fluorophore-conjugated secondary antibodies and DAPI counterstain

  • Signal development and imaging:

    • For chromogenic detection, use DAB or AEC substrate systems

    • For fluorescent detection, minimize photobleaching during imaging

    • Capture images at multiple magnifications to document both tissue-level and cellular distribution

    • Include scale bars and consistent imaging parameters across samples

What factors affect CYP78A11 antibody performance in co-immunoprecipitation experiments?

Co-immunoprecipitation (Co-IP) with CYP78A11 antibody requires careful consideration of several factors:

  • Lysis buffer composition:

    • Use mild, non-denaturing buffers to preserve protein-protein interactions

    • Recommended buffer: 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 0.5% NP-40, 1 mM EDTA, protease inhibitors

    • Include phosphatase inhibitors if studying phosphorylation-dependent interactions

    • For membrane proteins like cytochrome P450s, include 0.5% digitonin or 1% CHAPS to solubilize without disrupting interactions

  • Antibody coupling strategies:

    • Direct coupling to protein A/G beads may improve results compared to indirect capture

    • Consider covalent crosslinking of antibody to beads to prevent antibody contamination in eluted samples

    • For weak interactions, use chemical crosslinking (1-2% formaldehyde for 10 minutes) before lysis

  • Technical optimizations:

    • Pre-clear lysates with protein A/G beads to reduce non-specific binding

    • Include appropriate negative controls (isotype-matched IgG, knockout tissue)

    • Optimize antibody-to-lysate ratio (typically 2-5 μg antibody per 500 μg total protein)

    • Extended incubation (overnight at 4°C with gentle rotation) improves capture efficiency

  • Validation approaches:

    • Confirm CYP78A11 presence in precipitated samples via Western blot

    • For novel interactions, verify with reciprocal Co-IP when possible

    • Consider mass spectrometry to identify interaction partners

    • Compare interaction profiles with related proteins like CYP78A5 and CYP78A7 to identify specific versus family-wide interactions

What are common causes of non-specific binding with CYP78A11 antibody and how can they be addressed?

Non-specific binding is a frequent challenge when working with CYP78A11 antibody. Key causes and solutions include:

  • Cross-reactivity with related proteins:

    • CYP78A family members share significant sequence homology, particularly CYP78A5 and CYP78A7

    • Solution: Use antibodies targeting unique epitopes in less conserved regions

    • Perform peptide competition assays to identify true versus non-specific signals

    • Include samples from knockout plants as negative controls

  • Ineffective blocking:

    • Insufficient blocking leads to high background in immunoassays

    • Solution: Optimize blocking agents (test 5% BSA, 5% normal serum, commercial blockers)

    • Extend blocking time to 2 hours at room temperature or overnight at 4°C

    • Add 0.1-0.3% Tween-20 to reduce hydrophobic interactions

  • Suboptimal antibody dilution:

    • Too concentrated antibody solutions increase non-specific binding

    • Solution: Perform antibody titration experiments to determine optimal dilution

    • Prepare antibody in fresh blocking buffer rather than simple buffer solutions

    • Consider longer incubation times with more dilute antibody solutions

  • Sample processing issues:

    • Excessive fixation can create non-specific binding sites

    • Solution: Optimize fixation time and conditions for each tissue type

    • Include additional washing steps (5-6 washes instead of standard 3)

    • For Western blots, increase salt concentration in wash buffer (up to 500 mM NaCl)

Non-specific Binding IssueTroubleshooting ApproachExpected Outcome
Multiple bands in Western blotIncrease antibody dilution (1:2000-1:5000)Reduction of non-specific bands
High background in IHCExtended blocking (2 hours) with 5% BSA + 0.3% Triton X-100Decreased background staining
Cross-reactivity with related proteinsPre-adsorb antibody with recombinant CYP78A5/7 proteinsIncreased specificity for CYP78A11
False positive signalsInclude knockout/knockdown tissue controlsClear differentiation between specific and non-specific signals

How should researchers interpret conflicting data between CYP78A11 protein expression and transcript levels?

Discrepancies between protein expression detected by CYP78A11 antibody and corresponding mRNA levels can reflect important biological insights:

  • Post-transcriptional regulation mechanisms:

    • Research on related CYP78A5/7 revealed their involvement in miRNA-mediated post-transcriptional regulation

    • Analyze miRNA expression in the same samples to identify potential regulatory relationships

    • Consider using transcriptional and translational inhibitors to determine protein half-life

    • Investigate RNA-binding proteins that might regulate CYP78A11 translation

  • Methodological considerations:

    • Verify RNA quality and primer specificity in transcript analysis

    • Confirm antibody specificity with appropriate controls

    • Standardize normalization methods across experiments

    • Consider temporal dynamics (mRNA changes may precede protein changes)

  • Analytical approaches:

    • Quantify both absolute and relative changes in expression

    • Perform time-course studies to capture dynamic relationships

    • Use statistical methods appropriate for small sample sizes

    • Integrate data from multiple technical approaches (qRT-PCR, RNA-seq, Western blot, IHC)

  • Biological interpretation:

    • Protein levels without corresponding transcripts may indicate high protein stability

    • Transcripts without protein may suggest translational repression

    • Tissue-specific discrepancies may reflect post-transcriptional regulation mechanisms

    • Developmental stage-specific differences may indicate temporal regulation

How can researchers differentiate between CYP78A11 and other CYP78A family members in their experiments?

Distinguishing CYP78A11 from closely related family members requires strategic approaches:

  • Epitope-targeted antibody selection:

    • Choose antibodies targeting unique regions with minimal sequence conservation

    • Develop custom antibodies against specific peptides unique to CYP78A11

    • Perform bioinformatic analysis to identify divergent regions suitable for antibody generation

    • Validate antibody specificity against recombinant proteins of multiple family members

  • Genetic approaches for validation:

    • Use tissues from cyp78a11 knockout plants as negative controls

    • Employ CRISPR-Cas9 to generate epitope-tagged CYP78A11 at the endogenous locus

    • Create transgenic plants expressing CYP78A11 in a cyp78a11 background for antibody validation

    • Analyze protein expression in cyp78a5/7 double mutants to identify compensatory changes

  • Analytical techniques:

    • Use mass spectrometry to identify protein-specific peptides

    • Perform 2D gel electrophoresis to separate proteins based on both size and isoelectric point

    • Employ super-resolution microscopy to detect potential differences in subcellular localization

    • Combine with in situ hybridization to correlate with mRNA expression patterns

  • Experimental controls:

    • Include comparative analysis with known expression patterns of CYP78A5 and CYP78A7

    • Perform competitive binding assays with recombinant proteins

    • Use multiple antibodies targeting different regions of CYP78A11

    • Implement tissue-specific expression analysis where family members show differential expression

How can CYP78A11 antibody be employed to study developmental processes in plants?

CYP78A11 antibody can provide valuable insights into plant developmental processes through several sophisticated approaches:

  • Spatiotemporal expression analysis:

    • Map protein expression across developmental stages from embryogenesis to maturity

    • Investigate expression patterns during key developmental transitions

    • Compare with related CYP78A5/7 expression patterns to identify unique and overlapping functions

    • Correlate protein localization with developmental phenotypes

  • Genetic interaction studies:

    • Analyze CYP78A11 protein levels in various genetic backgrounds (amp1, cyp78a5/7)

    • Assess compensatory changes in protein expression in single and double mutants

    • Correlate protein expression with developmental phenotypes like meristem size and leaf formation

    • Use inducible systems to manipulate gene expression and monitor protein changes

  • Hormone response analysis:

    • Investigate how CYP78A11 protein levels change in response to plant hormones

    • Examine potential roles in hormone biosynthesis or signaling pathways

    • Study protein relocalization following hormone treatments

    • Analyze post-translational modifications in response to developmental signals

  • Cell fate determination studies:

    • Track CYP78A11 expression during cell differentiation processes

    • Correlate protein presence with cell identity markers

    • Investigate potential role in meristem maintenance and organ boundary formation

    • Analyze expression in wild-type versus mutant backgrounds to understand function

What techniques combine CYP78A11 antibody detection with advanced imaging methods?

Integrating CYP78A11 antibody detection with cutting-edge imaging approaches enhances research capabilities:

  • Multi-channel confocal microscopy:

    • Co-localize CYP78A11 with subcellular markers and other proteins of interest

    • Perform fluorescence resonance energy transfer (FRET) analysis to detect protein-protein interactions

    • Use spectral unmixing to differentiate between closely related fluorophores

    • Implement time-lapse imaging to track dynamic changes in protein localization

  • Super-resolution microscopy:

    • Apply stimulated emission depletion (STED) microscopy to resolve protein distribution below diffraction limit

    • Use structured illumination microscopy (SIM) for detailed subcellular localization

    • Implement photoactivated localization microscopy (PALM) to track single molecules

    • Combine with expansion microscopy for enhanced resolution in plant tissues

  • Light sheet microscopy:

    • Perform whole-mount immunofluorescence on embryos and seedlings

    • Create 3D reconstructions of protein distribution patterns

    • Conduct long-term imaging with minimal phototoxicity

    • Generate comprehensive developmental expression maps

  • Correlative light and electron microscopy:

    • Precisely localize CYP78A11 at ultrastructural level

    • Use immunogold labeling for transmission electron microscopy

    • Perform array tomography for 3D reconstruction at nanometer resolution

    • Integrate with focused ion beam-scanning electron microscopy (FIB-SEM) for volume imaging

How might artificial intelligence approaches enhance CYP78A11 antibody development and application?

AI technologies offer promising avenues to improve CYP78A11 antibody research:

  • AI-guided antibody design:

    • Use protein diffusion models like EvoDiff to design novel anti-CYP78A11 antibodies with enhanced specificity

    • Generate multiple heavy and light chain combinations computationally to optimize binding properties

    • Predict epitope accessibility and immunogenicity to improve antibody performance

    • Implement in silico docking experiments to assess antibody-antigen interactions

  • Image analysis enhancement:

    • Apply deep learning for automated quantification of immunohistochemistry signals

    • Implement machine learning algorithms for pattern recognition in expression data

    • Use convolutional neural networks to segment cells and quantify protein localization

    • Develop automated pipelines for high-throughput screening of antibody specificity

  • Structural biology integration:

    • Predict CYP78A11 protein structure using AlphaFold or similar AI tools

    • Model antibody-antigen complexes to identify optimal binding configurations

    • Design structure-based epitope selection strategies

    • Predict effects of mutations on antibody binding affinity

  • Multi-omics data integration:

    • Integrate antibody-based protein data with transcriptomics and metabolomics

    • Develop predictive models of protein function based on expression patterns

    • Create network models incorporating CYP78A11 interactions and regulatory relationships

    • Implement machine learning to identify patterns across diverse experimental datasets

How can CRISPR-Cas9 genome editing be combined with CYP78A11 antibody studies?

Integrating CRISPR-Cas9 technology with CYP78A11 antibody research offers powerful new experimental approaches:

  • Endogenous tagging strategies:

    • Create knock-in lines with epitope tags (FLAG, HA, V5) fused to endogenous CYP78A11

    • Generate fluorescent protein fusions at the native locus for live imaging

    • Develop split-fluorescent protein systems for interaction studies

    • Create conditional protein degradation systems to study loss-of-function effects

  • Domain function analysis:

    • Generate precise deletions or mutations in functional domains

    • Use antibodies to assess effects on protein stability and localization

    • Create chimeric proteins between CYP78A family members

    • Analyze structure-function relationships through systematic mutagenesis

  • Regulatory studies:

    • Modify promoter elements to study transcriptional regulation

    • Create reporter fusions to monitor expression dynamics

    • Implement inducible CRISPR systems for temporal control

    • Generate tissue-specific knockouts to study cell-autonomous functions

  • Validation and verification:

    • Use antibodies to confirm editing efficiency at protein level

    • Quantify protein reduction in knockdown experiments

    • Assess potential compensatory changes in related proteins

    • Verify subcellular localization of modified proteins

What new methodologies are emerging for studying CYP78A11 protein interactions?

Novel approaches for investigating CYP78A11 protein interactions include:

  • Proximity labeling techniques:

    • BioID or TurboID fusion proteins to identify proximal interacting partners

    • APEX2-based proximity labeling for temporal control of interaction mapping

    • Split-BioID systems to detect specific interaction events

    • Combine with mass spectrometry for comprehensive interactome analysis

  • In situ protein interaction detection:

    • Proximity ligation assay (PLA) to visualize protein interactions in fixed tissues

    • Split-fluorescent protein complementation for live-cell interaction imaging

    • Three-hybrid systems to detect RNA-mediated protein interactions

    • FRET/FLIM analysis for quantitative assessment of protein-protein binding

  • Single-molecule approaches:

    • Single-molecule pull-down (SiMPull) to analyze individual interaction events

    • Total internal reflection fluorescence (TIRF) microscopy for surface interactions

    • Single-molecule FRET to measure interaction dynamics

    • Optical tweezers to assess binding forces between proteins

  • Computational predictions integrated with validation:

    • AI-based interaction prediction followed by targeted verification

    • Molecular dynamics simulations of protein complexes

    • Network analysis to identify potential interaction hubs

    • Integrative modeling combining multiple experimental datasets

How can single-cell analysis be combined with CYP78A11 antibody detection?

Integrating single-cell approaches with CYP78A11 antibody detection enables unprecedented insights:

  • Single-cell proteomics:

    • Mass cytometry (CyTOF) with metal-conjugated antibodies for multi-parameter analysis

    • Micro-droplet-based single-cell Western blotting

    • Microfluidic antibody capture for protein quantification

    • Single-cell immunoprecipitation followed by mass spectrometry

  • Spatial transcriptomics integration:

    • Combine CYP78A11 immunofluorescence with in situ RNA sequencing

    • Correlate protein localization with cell-specific transcriptomes

    • Implement multiplexed error-robust fluorescence in situ hybridization (MERFISH) with protein detection

    • Use computational methods to integrate spatial protein and RNA data

  • Live single-cell dynamics:

    • Photoconvertible fluorescent protein fusions to track protein movement

    • Fluorescence correlation spectroscopy to measure molecular dynamics

    • Single-particle tracking to monitor protein diffusion and binding

    • Optogenetic tools to manipulate protein function with spatial precision

  • Single-cell developmental trajectories:

    • Track CYP78A11 expression changes during cell differentiation

    • Reconstruct lineage relationships based on protein expression patterns

    • Analyze expression heterogeneity within apparently uniform tissues

    • Integrate with cell fate mapping approaches

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