PCMP-E23 Antibody

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Description

General Antibody Structure and Function

Antibodies are glycoproteins composed of immunoglobulin (Ig) monomers, featuring:

  • Fab regions: Bind antigens via variable domains (VH and VL) .

  • Fc regions: Mediate immune responses through interactions with Fc receptors and complement proteins .

Antibody ComponentFunction
Fab (Fragment antigen-binding)Antigen recognition and binding
Fc (Fragment crystallizable)Immune cell activation, opsonization, and complement activation

Monoclonal Antibody Development and Applications

Monoclonal antibodies are engineered for high specificity and affinity. Examples from the search results include:

  • Anti-SARS-CoV-2 mAbs: CU-28-24 (neutralizes live virus) and mAbs targeting nucleocapsid protein epitopes .

  • Anti-CTLA-4 mAbs: ONC-392, a humanized IgG1 antibody in Phase I/II trials for solid tumors .

  • Anti-parvalbumin mAbs: L114/3, used in neuroscience research .

Potential Contexts for PCMP-E23 Antibody

While PCMP-E23 is not documented in available sources, its nomenclature suggests possible characteristics:

  • "PCMP": Could denote a polymer conjugate (e.g., PMPC-modified antibodies like Tmab-PMPC for enhanced blood-brain barrier penetration ).

  • "E23": May refer to an epitope identifier or clone designation (e.g., CU-P2-20 targets SARS-CoV-2 RBD peptide QTGKIADYNYKLPDDFTG ).

Research Gaps and Recommendations

  • Validation: Confirm the correct nomenclature and target antigen.

  • Literature Review: Expand searches to preclinical studies, patent databases, or proprietary industry reports.

  • Comparative Analysis: Evaluate functional similarities to existing mAbs (e.g., neutralization, diagnostic applications).

Key Antibody Characteristics for Comparison

The table below summarizes properties of well-characterized mAbs from the search results:

Antibody NameTargetIsotypeKey Applications
CU-28-24SARS-CoV-2 RBDIgG2bNeutralization, IHC, ELISA
ONC-392CTLA-4IgG1Cancer immunotherapy
L114/3ParvalbuminIgG2aNeuroscience research

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
PCMP-E23 antibody; At2g34400 antibody; F13P17.24 antibody; T31E10.26 antibody; Pentatricopeptide repeat-containing protein At2g34400 antibody
Target Names
PCMP-E23
Uniprot No.

Q&A

What is the PCMP-E23 protein and what cellular functions does it perform in Arabidopsis thaliana?

PCMP-E23 belongs to the pentatricopeptide repeat (PPR) protein family in Arabidopsis thaliana. These proteins are primarily involved in RNA metabolism in organelles, particularly chloroplasts and mitochondria. They function in RNA editing, splicing, stability, and translation. PCMP-E23 specifically is thought to be involved in organellar RNA processing, though its exact function may vary based on experimental conditions. Understanding its role is crucial for designing appropriate experiments targeting this protein .

How specific is the PCMP-E23 antibody when used in Arabidopsis tissue samples?

The specificity of the PCMP-E23 antibody depends on the validation methods used during its development. For optimal specificity assessment, researchers should perform western blot analysis using protein extracts from different plant tissues (stems, leaves, and inflorescences) to determine if the antibody detects a single protein band of the expected molecular weight. Cross-reactivity testing using related Arabidopsis proteins or tissues from PCMP-E23 knockout mutants can further validate specificity. According to antibody validation guidelines, antibodies should be placed into a tier system (levels 1-3) based on evidence of their usage, with validation requirements proportionate to their tier level .

What are the recommended storage conditions for maintaining PCMP-E23 antibody activity?

For optimal preservation of antibody activity, PCMP-E23 antibodies should be stored following these guidelines:

  • Store at -20°C for long-term storage

  • Avoid repeated freeze-thaw cycles by aliquoting the antibody into smaller volumes before freezing

  • For working solutions, store at 4°C for up to one month

  • Add preservatives like sodium azide (0.02%) for solutions stored at 4°C

  • Monitor antibody performance periodically through standard assays to ensure activity retention

What is the optimal protocol for using PCMP-E23 antibody in immunohistochemistry of plant tissues?

Optimal Immunohistochemistry Protocol for PCMP-E23 in Arabidopsis Tissues:

  • Tissue Preparation:

    • Fix plant tissues in 4% paraformaldehyde for 12-16 hours at 4°C

    • Dehydrate through ethanol series (30% to 100%)

    • Embed in paraffin and section at 5-10 μm thickness

  • Antigen Retrieval:

    • Deparaffinize sections and rehydrate through descending ethanol series

    • Perform heat-induced epitope retrieval using 10 mM sodium citrate buffer (pH 6.0) for 20 minutes

  • Immunostaining:

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

    • Incubate with PCMP-E23 antibody (1:500 dilution) overnight at 4°C

    • Wash three times with TBST, 5 minutes each

    • Incubate with HRP-conjugated secondary antibody for 1 hour at room temperature

    • Wash three times with TBST

  • Detection and Imaging:

    • Develop signal with appropriate substrate

    • Counterstain, dehydrate, and mount

    • Image using light microscopy or fluorescence microscopy depending on detection method

This protocol is based on successful immunohistochemistry approaches with plant tissues described in the literature .

How can I optimize western blot conditions for PCMP-E23 antibody detection in Arabidopsis protein extracts?

Optimization Strategy for Western Blot with PCMP-E23 Antibody:

  • Protein Extraction:

    • Use extraction buffer containing: 100 mM Tris-HCl (pH 7.5), 300 mM NaCl, 2 mM EDTA, 10% Glycerol, 0.1% Triton X-100, and protease inhibitors

    • Grind tissue to fine powder in liquid nitrogen before adding buffer

    • Centrifuge at 13,000 rpm for 10 minutes at 4°C and collect supernatant

  • Gel Electrophoresis:

    • Load 20-30 μg of total protein per lane on a 4-15% polyacrylamide gradient gel

    • Include appropriate molecular weight markers

  • Transfer and Blocking:

    • Transfer to nitrocellulose membrane at 100V for 1 hour

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

  • Antibody Incubation:

    • Test multiple dilutions of PCMP-E23 antibody (1:500, 1:1000, 1:2000) to determine optimal concentration

    • Incubate overnight at 4°C

    • Wash three times with TBST, 5 minutes each

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

  • Detection and Analysis:

    • Use ECL detection system and optimized exposure times

    • Quantify signal intensity using appropriate software

Optimization Table:

ParameterTest RangeRecommended Starting Point
Antibody Dilution1:250 - 1:20001:500
Blocking Agent5% BSA, 5% milk5% milk in TBST
Incubation Time1h - overnightOvernight at 4°C
Secondary Antibody1:2000 - 1:100001:5000
Washing Steps3-5× for 5-10 min3× for 5 min

What are the advantages and limitations of using immunoprecipitation with PCMP-E23 antibody for protein complex isolation?

Advantages:

  • Allows for isolation of native PCMP-E23 protein complexes from plant tissues

  • Enables identification of protein interaction partners via subsequent mass spectrometry

  • Preserves transient or weak interactions that might be lost in other techniques

  • Can reveal post-translational modifications in the target protein and its interactors

Limitations:

  • Efficiency depends on antibody affinity and specificity

  • May not capture all interaction partners due to steric hindrance from antibody binding

  • Buffer conditions must be optimized to maintain complex integrity while ensuring efficient immunoprecipitation

  • Background contamination can occur from non-specific binding to beads or antibody

  • Requires validation of results through reciprocal IP or other interaction methods

Optimization Approach:
For optimal immunoprecipitation results, researchers should:

  • Add PCMP-E23 antibody to protein extract at previously established concentration and incubate for 2 hours at 4°C

  • Add protein A-conjugated beads and incubate for another hour

  • Collect beads by centrifugation at 2000 rpm

  • Elute and analyze by western blot to confirm successful IP before proceeding to mass spectrometry analysis

What are common causes of false-negative results when using PCMP-E23 antibody, and how can they be addressed?

Common Causes and Solutions for False-Negative Results:

ProblemPossible CausesSolutions
No signal in western blotProtein degradationAdd fresh protease inhibitors; maintain samples at 4°C
Inefficient protein transferConfirm transfer with reversible stain; optimize transfer conditions
Incorrect primary antibody dilutionTest multiple dilution ratios; consider longer incubation
Epitope maskingTry different antigen retrieval methods
Low target protein expressionIncrease protein loading; concentrate sample
No signal in immunohistochemistryInadequate tissue fixationOptimize fixation time and conditions
Ineffective antigen retrievalTest multiple retrieval methods and buffers
Antibody interferenceCheck for blocking reagent compatibility
Detection system issuesVerify secondary antibody reactivity; check substrate activity

For robust troubleshooting, implement positive controls using tissues known to express PCMP-E23 and negative controls using pre-immune serum or irrelevant antibodies of the same isotype to identify specific issues in your protocol .

How can I validate the specificity of PCMP-E23 antibody for my experimental system?

Comprehensive Antibody Validation Strategy:

  • Western Blot Analysis:

    • Test antibody on total protein extracts from various Arabidopsis tissues

    • Confirm detection of a single band at the expected molecular weight

    • Include PCMP-E23 knockout or knockdown plants as negative controls

  • Immunoprecipitation-Mass Spectrometry:

    • Perform IP followed by MS analysis to confirm PCMP-E23 as the primary enriched protein

    • Compare results with IP using pre-immune serum or an irrelevant antibody

  • Immunohistochemistry Controls:

    • Compare staining patterns with known expression data

    • Perform peptide competition assays by pre-incubating antibody with purified antigen

    • Include tissue from knockout plants as negative controls

  • Cross-reactivity Testing:

    • Test reactivity against recombinant PCMP-E23 protein

    • Assess potential cross-reactivity with related PPR proteins

Following the tiered validation approach recommended by the research consortium of academic and pharmaceutical histopathology researchers, antibodies should be validated proportionally to their tier level (1-3), with higher tiers requiring more extensive validation .

How can PCMP-E23 antibody be utilized in studying plant stress responses and organellar RNA processing?

Given that PCMP-E23 belongs to the PPR protein family involved in organellar RNA processing, this antibody provides a valuable tool for investigating stress-related changes in RNA metabolism:

  • Stress Response Studies:

    • Monitor changes in PCMP-E23 protein levels across various abiotic stressors (drought, salinity, temperature extremes) via western blot

    • Use immunohistochemistry to examine tissue-specific changes in PCMP-E23 localization under stress conditions

    • Couple with RNA-seq to correlate protein levels with changes in organellar transcriptome

  • Organellar RNA Processing Research:

    • Perform RNA immunoprecipitation (RIP) using PCMP-E23 antibody to identify target RNA molecules

    • Combine with CLIP-seq to map precise RNA binding sites

    • Use IP-MS to identify other proteins in PCMP-E23 complexes that may function in RNA processing

  • Developmental Regulation Studies:

    • Track PCMP-E23 expression patterns during different developmental stages and tissues

    • Correlate with changes in organellar transcript editing or splicing patterns

These approaches can reveal crucial insights into how plants regulate organellar gene expression during stress adaptation, providing a deeper understanding of the mechanisms underlying plant resilience .

What considerations should be made when using PCMP-E23 antibody in comparative studies across different Arabidopsis ecotypes or closely related species?

Key Considerations for Cross-Ecotype or Cross-Species Studies:

  • Sequence Variation Analysis:

    • Compare PCMP-E23 protein sequences across target ecotypes/species to identify potential epitope variations

    • Perform in silico analysis to predict whether sequence differences might affect antibody binding

    • Create alignment tables showing percent identity in epitope regions

  • Validation Requirements:

    • Perform western blot validation for each ecotype/species to confirm:

      • Antibody reactivity

      • Correct molecular weight detection

      • Similar expression patterns

    • Include calibration curves using recombinant protein standards if quantitative comparisons will be made

  • Protocol Optimization:

    • Adjust antibody concentrations for each ecotype/species

    • Modify extraction buffers to account for differences in tissue composition

    • Consider variations in fixation protocols for immunohistochemistry

  • Data Interpretation Cautions:

    • Account for potential differences in antibody affinity when comparing signal intensities

    • Normalize data appropriately using conserved reference proteins

    • Validate key findings with complementary techniques (e.g., qRT-PCR for expression comparisons)

This systematic approach ensures reliable cross-ecotype/species comparisons and minimizes misinterpretation of results due to antibody binding variations .

How should I interpret conflicting results between PCMP-E23 protein levels detected by western blot versus immunohistochemistry?

Resolving Discrepancies Between Western Blot and Immunohistochemistry Results:

When conflicting results occur between these methods, consider the following analytical framework:

  • Technical Considerations:

    • Western blot detects denatured proteins while IHC detects proteins in their native state/environment

    • Epitope accessibility may differ between methods

    • Fixation in IHC may alter epitope conformation or accessibility

    • Sample preparation differences can affect protein extraction efficiency

  • Biological Explanations:

    • Protein may be abundant but localized to specific cell types (diluted in whole-tissue extracts)

    • Post-translational modifications may affect antibody recognition differently in each method

    • Protein complexes may mask epitopes in one method but not the other

  • Resolution Strategy:

    • Perform subcellular fractionation followed by western blot

    • Use laser capture microdissection to isolate specific cell types for western blot

    • Employ alternative antibodies targeting different epitopes

    • Validate with orthogonal methods (fluorescent protein tagging, RNA expression)

  • Documentation Recommendations:

    • Clearly report discrepancies in publications

    • Document all experimental conditions comprehensively

    • Consider both results valid but representing different aspects of protein biology

This systematic approach helps reconcile seemingly contradictory results and can lead to deeper insights into the complex biology of the PCMP-E23 protein .

What statistical approaches are most appropriate for quantifying PCMP-E23 protein expression differences across experimental conditions?

Optimal Statistical Analysis for PCMP-E23 Expression Data:

  • For Western Blot Quantification:

    • Normalize band intensity to appropriate loading controls (GAPDH, tubulin, or total protein stain)

    • Use biological replicates (n≥3) from independent experiments

    • Apply these statistical tests based on data characteristics:

      • Two conditions: Student's t-test (parametric) or Mann-Whitney U test (non-parametric)

      • Multiple conditions: One-way ANOVA with post-hoc tests (Tukey or Bonferroni)

      • Multiple factors: Two-way ANOVA to assess interaction effects

    • Report effect sizes alongside p-values

  • For Immunohistochemistry Quantification:

    • Use digital image analysis software to quantify signal intensity

    • Analyze multiple fields per sample (minimum 5-10)

    • Consider hierarchical/nested statistical approaches to account for within-sample variability

    • Apply appropriate transformations for non-normally distributed data

  • Data Visualization Recommendations:

    • Present normalized data with clear indication of variation (error bars showing SD or SEM)

    • Use scatter plots with means rather than bar graphs alone

    • Consider visualization of data distribution (box plots, violin plots)

  • Reporting Guidelines:

    • Clearly state normalization methods

    • Report both raw and normalized data when possible

    • Include sample sizes, statistical tests, and exact p-values

    • Address potential sources of variability in the discussion

These approaches ensure robust statistical analysis that accounts for the biological and technical variability inherent in antibody-based protein quantification .

How might combining PCMP-E23 antibody with emerging single-cell technologies advance our understanding of plant cellular heterogeneity?

Integration of PCMP-E23 Antibody with Single-Cell Technologies:

  • Single-Cell Proteomics Applications:

    • Adapt PCMP-E23 antibody for CyTOF (mass cytometry) to quantify protein levels in thousands of individual plant cells

    • Combine with antibodies against organelle markers to study subcellular localization patterns at single-cell resolution

    • Develop microfluidic-based single-cell western blot applications using PCMP-E23 antibody

  • Spatial Transcriptomics Integration:

    • Couple immunohistochemistry using PCMP-E23 antibody with in situ RNA sequencing to correlate protein presence with RNA processing patterns

    • Apply multiplexed immunofluorescence to study co-localization with other RNA processing factors

    • Implement spatial proteomics using PCMP-E23 to map protein distribution across different cell types in intact tissues

  • Single-Cell Multi-Omics Prospects:

    • Develop protocols for simultaneous detection of PCMP-E23 protein and associated RNAs in single cells

    • Integrate with chromatin accessibility assays to link protein function with gene regulation

    • Explore correlations between PCMP-E23 levels and metabolomic profiles at cellular resolution

  • Computational Analysis Approaches:

    • Apply machine learning algorithms to identify cell subtypes based on PCMP-E23 expression patterns

    • Develop predictive models of RNA processing outcomes based on protein distribution

    • Create integrated biological networks connecting protein presence with downstream effects

These approaches would significantly advance our understanding of cellular heterogeneity in plant tissues and reveal how RNA processing factors like PCMP-E23 contribute to cell-specific functions and responses .

What are the prospects for developing engineered recombinant PCMP-E23 antibodies with enhanced specificity or novel functionalities?

Future Directions in Engineered PCMP-E23 Antibodies:

  • Recombinant Antibody Development:

    • Generate fully sequenced recombinant versions of PCMP-E23 antibodies to ensure reproducibility

    • Express in plant-based systems for optimal glycosylation patterns

    • Create a library of single-chain variable fragments (scFvs) with varied binding properties

    • Optimize using plant cell suspension cultures for enhanced yield

  • Specificity Enhancement Strategies:

    • Apply directed evolution techniques to improve binding affinity and specificity

    • Engineer antibody variants targeting different epitopes of PCMP-E23

    • Develop knock-in/knock-out validation systems in Arabidopsis for antibody validation

    • Create chimeric antibodies combining binding domains from different anti-PCMP-E23 clones

  • Novel Functionality Integration:

    • Generate bifunctional antibodies linking PCMP-E23 recognition with detection of interacting proteins

    • Develop antibody-aptamer conjugates for simultaneous protein-RNA targeting

    • Create photoactivatable antibodies for spatiotemporal control of binding

    • Engineer split-antibody complementation systems for proximity-based studies

  • Production Optimization:

    • Fine-tune expression systems using fractional factorial designs and response surface methodology

    • Optimize BY-2 cell suspension culture medium for maximum antibody yield

    • Develop purification strategies tailored to plant-produced antibodies

These advances would transform PCMP-E23 antibodies from simple detection tools into sophisticated research instruments capable of illuminating complex aspects of plant RNA biology with unprecedented precision and functionality .

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