PDE1B Antibody, HRP conjugated

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Product Specs

Buffer
**Preservative:** 0.03% Proclin 300
**Constituents:** 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Typically, we can ship your orders within 1-3 business days. The delivery time may vary depending on the purchasing method and location. Please consult your local distributor for specific delivery timeframes.
Synonyms
5''-cyclic nucleotide phosphodiesterase 1B antibody; 63 kDa Cam PDE antibody; 63 kDa Cam-PDE antibody; Calcium/calmodulin dependent 3' 5' cyclic nucleotide Phosphodiesterase 1B antibody; Calcium/calmodulin stimulated cyclic nucleotide phosphodiesterase antibody; Calcium/calmodulin-dependent 3'' antibody; Calmodulin stimulated phosphodiesterase PDE1B1 antibody; Cam PDE 1B antibody; Cam PDE1B antibody; Cam-PDE 1B antibody; PDE 1B antibody; PDE1B antibody; PDE1B_HUMAN antibody; PDE1B1 antibody; PDES 1B antibody; PDES1B antibody; Phosphodiesterase 1B antibody; Phosphodiesterase 1B calmodulin dependent antibody; Presumed 63kDa form of the type 1 cyclic nucleotide phosphodiesterase family known as PDE1B antibody
Target Names
Uniprot No.

Target Background

Function
PDE1B is a cyclic nucleotide phosphodiesterase with dual specificity for the second messengers cAMP and cGMP. These messengers play crucial roles in regulating various physiological processes. PDE1B exhibits a preference for cGMP as a substrate.
Gene References Into Functions
  1. The c.1618G>A, p.Gly540Ser substitution in CNGA3 was identified as the causative mutation for a novel form of autosomal dominant complete congenital stationary night blindness (ACHM) in Awassi sheep. Gene augmentation therapy successfully restored vision in the affected sheep. This novel mutation provides a valuable large-animal model for studying human CNGA3 ACHM patients, as most of them carry missense mutations rather than premature-termination mutations. PMID: 28282490
  2. Selective up-regulation of PDE1B2 occurs during monocyte-to-macrophage differentiation. PMID: 15625104
  3. PDE1B2 regulates a subset of phenotypic changes associated with phorbol-12-myristate-13-acetate-induced differentiation. It is also likely to play a role in differentiated macrophages by regulating agonist-stimulated cGMP levels. PMID: 16407168
Database Links

HGNC: 8775

OMIM: 171891

KEGG: hsa:5153

STRING: 9606.ENSP00000243052

UniGene: Hs.530871

Protein Families
Cyclic nucleotide phosphodiesterase family, PDE1 subfamily
Subcellular Location
Cytoplasm.

Q&A

What is PDE1B and why is it a target for antibody-based research?

PDE1B (phosphodiesterase 1B, Calmodulin-Dependent) is a cyclic nucleotide phosphodiesterase with dual specificity for the second messengers cAMP and cGMP, which are key regulators of many important physiological processes. It has a preference for cGMP as a substrate and plays crucial roles in signal transduction pathways . The importance of PDE1B in neurological function, cardiovascular processes, and inflammatory responses makes it a significant target for research in multiple fields. Antibodies against PDE1B enable researchers to detect, quantify, and characterize this enzyme in various experimental contexts.

What is the significance of HRP conjugation in PDE1B antibodies?

HRP (Horseradish Peroxidase) conjugation provides a direct enzymatic detection method that eliminates the need for secondary antibodies in many applications. When conjugated to PDE1B antibodies, HRP enables direct visualization through its catalytic conversion of chromogenic or chemiluminescent substrates . This conjugation is particularly valuable in ELISA and other immunodetection methods where signal amplification and direct detection can improve sensitivity and reduce protocol complexity. The enzyme remains stable and active when properly conjugated, providing reliable detection capabilities across multiple experimental platforms.

How do I select the appropriate epitope region for my PDE1B antibody application?

The selection of the epitope region depends on your specific research objectives. Available PDE1B antibodies target various regions including:

  • N-terminal region (AA 1-277): Suitable for detecting full-length protein and studying N-terminal interactions

  • Middle region (AA 190-536): Useful for general detection of PDE1B in multiple species

  • C-terminal region (AA 370-536, 437-536, or 473-500): Effective for studying regulatory domains and post-translational modifications

For broader species reactivity, consider antibodies targeting conserved regions. For studying specific domains or functions, select antibodies targeting relevant functional regions. Always validate the antibody's specificity for your target region and application through preliminary experiments.

What are the optimal protocols for using HRP-conjugated PDE1B antibodies in ELISA?

For optimal ELISA performance using HRP-conjugated PDE1B antibodies, follow this validated protocol:

  • Coating: Coat the ELISA plate with capture antibody or antigen (1-10 μg/ml) in coating buffer (50 mM carbonate-bicarbonate, pH 9.6) overnight at 4°C

  • Blocking: Block with 1-5% BSA in PBS for 1-2 hours at room temperature

  • Sample addition: Add samples and standards in appropriate dilution buffer

  • Primary antibody: Apply HRP-conjugated PDE1B antibody (recommended dilution 1:1000-1:5000 based on titer)

  • Detection: Use TMB substrate and measure absorbance at 450 nm after stopping the reaction with 2N H₂SO₄

Critical parameters include:

  • Maintaining proper temperature (20-25°C) during incubation steps

  • Using freshly prepared reagents

  • Including appropriate positive and negative controls

  • Performing technical replicates

Optimization for each specific antibody may be necessary, as HRP-conjugated antibodies may have different optimal working dilutions based on the conjugation efficiency and target abundance.

How can I optimize Western blotting protocols using HRP-conjugated PDE1B antibodies?

When using HRP-conjugated PDE1B antibodies for Western blotting, consider these optimization steps:

  • Sample preparation: Extract proteins using RIPA buffer supplemented with protease inhibitors

  • Gel selection: Use 10% SDS-PAGE gels for optimal separation of PDE1B (~63 kDa)

  • Transfer: Employ semi-dry or wet transfer methods (25V for 1.5 hours) to PVDF membranes

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

  • Primary antibody: Incubate with HRP-conjugated PDE1B antibody (1:1000-1:2000 dilution) overnight at 4°C

  • Washing: Perform 3-5 washes with TBST, 5 minutes each

  • Detection: Apply ECL substrate and expose to film or use digital imaging systems

For troubleshooting high background:

  • Increase washing duration/frequency

  • Reduce antibody concentration

  • Use more stringent blocking agents (e.g., 5% BSA)

  • Include 0.05% Tween-20 in all buffers

Remember that HRP-conjugated antibodies eliminate the need for secondary antibodies, simplifying the protocol and potentially reducing background signal.

What controls should be included when using PDE1B antibodies in immunohistochemistry?

Proper controls are essential for valid interpretation of immunohistochemistry results with PDE1B antibodies:

Essential controls include:

  • Positive tissue control: Known PDE1B-expressing tissues (e.g., rat cerebrum)

  • Negative tissue control: Tissues with minimal PDE1B expression

  • Antibody controls:

    • Isotype control (matching IgG subclass with irrelevant specificity)

    • Secondary antibody only (for non-conjugated antibodies)

    • Blocking peptide competition (pre-incubation with immunizing peptide)

  • Technical controls:

    • No primary antibody

    • Serial dilution of primary antibody to establish optimal concentration

These controls help distinguish between true positive signal and artifacts, particularly important when optimizing new antibodies or experimental conditions. For HRP-conjugated antibodies specifically, include peroxidase quenching controls to address potential endogenous peroxidase activity.

How can I validate the specificity of PDE1B antibodies across different experimental systems?

Rigorous validation of PDE1B antibodies requires a multi-platform approach:

  • Genetic validation:

    • Use PDE1B knockout/knockdown samples as negative controls

    • Perform antibody testing on overexpression systems

    • Compare results across multiple cell/tissue types with varying PDE1B expression levels

  • Biochemical validation:

    • Immunoprecipitation followed by mass spectrometry

    • Peptide competition assays using the immunizing peptide

    • Western blotting to confirm size specificity

    • Dot-blot analysis against related PDE family members to assess cross-reactivity

  • Cross-platform validation:

    • Compare antibody performance across multiple techniques (Western blot, IHC, ELISA, flow cytometry)

    • Use antibodies targeting different epitopes to confirm consistent detection

    • Correlate protein detection with mRNA expression data

  • Species cross-reactivity testing:

    • Evaluate reactivity with PDE1B from different species (human, mouse, rat)

    • Align epitope sequences across species to predict cross-reactivity

The table below summarizes validation results for selected commercially available PDE1B antibodies:

Antibody IDEpitope RegionHost/TypeValidated ApplicationsCross-reactivityKnockout Validation
ABIN7146419AA 1-277Rabbit/PolyclonalELISAHumanNot reported
ab250619Not specifiedRabbit/MonoclonalWB, IHC-PHuman, Mouse, RatConfirmed
ABIN1845414AA 370-536Mouse/MonoclonalWB, ELISA, IHC, FACSHuman, RatNot reported

How can I troubleshoot non-specific binding when using HRP-conjugated PDE1B antibodies?

Non-specific binding is a common challenge with antibody-based techniques. For HRP-conjugated PDE1B antibodies, consider these advanced troubleshooting approaches:

  • Binding specificity issues:

    • Increase blocking stringency (try different blockers: 5% BSA, 5% milk, or commercial blockers)

    • Add 0.1-0.3% Triton X-100 to reduce hydrophobic interactions

    • Include 0.1-0.5M NaCl in incubation buffers to reduce ionic interactions

    • Perform pre-adsorption with related proteins if cross-reactivity is suspected

  • Signal-to-noise ratio optimization:

    • Titrate antibody concentration (perform a dilution series from 1:500 to 1:5000)

    • Reduce substrate incubation time

    • Use enhanced chemiluminescent substrates with lower background

    • Apply sandwich ELISA format to increase specificity

  • Endogenous peroxidase activity:

    • Include a peroxidase quenching step (0.3% H₂O₂ in methanol for 10-30 minutes)

    • Evaluate tissue-specific quenching requirements

    • Consider alternative detection methods if endogenous activity persists

  • Sample-specific considerations:

    • Perform antigen retrieval optimization (test multiple pH buffers and retrieval times)

    • Evaluate fixation effects on epitope accessibility

    • Consider tissue-specific blocking reagents

Document all optimization steps systematically to establish a refined protocol for your specific experimental system.

What are the considerations for multiplexing experiments using PDE1B antibodies?

Multiplexing with PDE1B antibodies requires careful planning to avoid cross-reactivity and signal interference:

  • Antibody selection criteria:

    • Choose antibodies raised in different host species to enable species-specific secondary detection

    • Verify non-overlapping spectral characteristics of detection systems

    • Confirm that epitopes are accessible simultaneously under chosen fixation conditions

  • Sequential versus simultaneous detection:

    • For HRP-conjugated antibodies, sequential detection with intermittent peroxidase inactivation is recommended

    • Tyramide signal amplification (TSA) allows multiple HRP-conjugated antibodies to be used sequentially

    • Consider spectral unmixing approaches for closely related fluorophores

  • Technical approach optimization:

    • For immunofluorescence: Use spectrally distinct fluorophores with minimal overlap

    • For chromogenic detection: Use substrate combinations with contrasting colors

    • For flow cytometry: Ensure compensation controls are included

  • Validation requirements:

    • Perform single-staining controls to establish baseline signals

    • Include blocking steps between sequential detections

    • Validate antibody performance in multiplex versus single-plex format

When multiplexing with HRP-conjugated PDE1B antibodies specifically, consider using them as the final detection step in sequential protocols to avoid signal loss through subsequent inactivation steps.

How do expression patterns of PDE1B vary across tissue types and what are the implications for antibody selection?

PDE1B expression exhibits distinct tissue-specific patterns that influence antibody selection and experimental design:

  • High expression tissues:

    • Brain (particularly striatum, hippocampus, and cerebellum)

    • Cardiac tissue

    • Immune cells (specific lymphocyte populations)

  • Moderate expression tissues:

    • Skeletal muscle

    • Kidney

    • Pancreas

  • Low/variable expression tissues:

    • Liver

    • Lung

    • Gastrointestinal tract

The subcellular localization also varies by cell type, with predominantly cytoplasmic distribution in neurons but potential nuclear localization in other cell types. This variation necessitates careful selection of fixation and permeabilization conditions to preserve epitope accessibility while maintaining cellular architecture.

How can quantitative analysis be performed using HRP-conjugated PDE1B antibodies?

Quantitative analysis with HRP-conjugated PDE1B antibodies requires attention to linearity, dynamic range, and standardization:

  • ELISA quantification:

    • Establish standard curves using recombinant PDE1B protein (1-277AA or full-length)

    • Determine linear detection range (typically 0.1-10 ng/ml for optimized systems)

    • Include internal reference standards across plates for normalization

    • Calculate inter- and intra-assay coefficients of variation (CV should be <15%)

  • Western blot densitometry:

    • Use gradient exposure times to ensure signal is within linear detection range

    • Normalize to loading controls (β-actin, GAPDH)

    • Apply background subtraction consistently

    • Include a standard curve of recombinant protein for absolute quantification

  • Immunohistochemistry quantification:

    • Use digital image analysis with consistent acquisition parameters

    • Apply automated scoring systems (H-score, Allred score)

    • Include reference slides in each batch for normalization

    • Consider machine learning approaches for unbiased quantification

  • Statistical considerations:

    • Determine appropriate sample sizes through power analysis

    • Apply appropriate statistical tests based on data distribution

    • Consider hierarchical analysis for nested experimental designs

    • Account for batch effects in multi-experiment comparisons

For rigorous quantification, the relationship between signal intensity and protein concentration must be established and validated for each experimental system.

What are the recent advances in using PDE1B antibodies for studying neurodegenerative disorders?

PDE1B has emerged as a significant target in neurodegenerative research, with antibody-based studies revealing several key insights:

  • Parkinson's Disease:

    • Altered PDE1B expression in striatal neurons precedes motor symptom onset

    • Correlation between dopaminergic neuron loss and PDE1B dysregulation

    • Potential as an early biomarker when measured in combination with other factors

  • Alzheimer's Disease:

    • PDE1B involvement in amyloid-β-induced synaptic dysfunction

    • Changes in PDE1B phosphorylation state associated with cognitive decline

    • Targeting PDE1B as a potential therapeutic approach for modulating cAMP/cGMP signaling

  • Huntington's Disease:

    • Progressive alteration of PDE1B expression in medium spiny neurons

    • Relationship between PDE1B and mutant huntingtin protein aggregation

    • Potential compensatory changes in other PDE family members

Recent methodological advances include:

  • Single-cell analysis of PDE1B expression using multiplexed immunofluorescence

  • Phospho-specific antibodies to detect activity-dependent PDE1B modifications

  • In vivo imaging applications using specialized antibody-based probes

Researchers should consider epitope accessibility in protein aggregates and altered post-translational modification states when selecting antibodies for neurodegenerative research applications.

How can PDE1B antibodies be utilized in emerging single-cell analysis techniques?

PDE1B antibodies are increasingly being adapted for single-cell resolution studies through several innovative approaches:

  • Single-cell Western blotting:

    • Microfluidic platforms allowing protein analysis from individual cells

    • Requires high-specificity HRP-conjugated antibodies with enhanced sensitivity

    • Enables correlation between PDE1B expression and cellular phenotypes

  • Mass cytometry (CyTOF):

    • Metal-tagged antibodies for high-parameter single-cell analysis

    • Potential for simultaneous detection of PDE1B with 30+ other proteins

    • Enables complex pathway analysis in heterogeneous cell populations

  • Imaging mass cytometry:

    • Combines immunohistochemistry with mass spectrometry

    • Preserves spatial information while allowing multiplexed detection

    • Requires highly specific antibodies with minimal cross-reactivity

  • Proximity ligation assays:

    • Enables detection of protein-protein interactions at single-molecule resolution

    • Particularly valuable for studying PDE1B interactions with calmodulin and other regulatory partners

    • Requires pairs of antibodies targeting different epitopes on interacting proteins

When adapting HRP-conjugated PDE1B antibodies for these applications, researchers should consider signal amplification requirements, spatial resolution limitations, and potential for multiplexing with other detection systems.

What considerations are important when designing longitudinal studies using PDE1B antibodies?

Longitudinal studies present unique challenges for antibody-based detection that require careful planning:

  • Antibody lot consistency:

    • Secure sufficient antibody from a single lot for the entire study duration

    • Alternatively, perform cross-lot validation and establish normalization factors

    • Document lot numbers and validation data for each experimental timepoint

  • Sample preservation strategies:

    • Standardize collection, fixation, and storage protocols

    • Consider aliquoting samples to minimize freeze-thaw cycles

    • Include stability controls to assess epitope degradation over time

  • Internal controls and normalization:

    • Include reference samples that are processed at each timepoint

    • Develop robust normalization strategies to account for technical variation

    • Consider pooled internal controls for batch correction

  • Statistical considerations for longitudinal data:

    • Apply mixed-effects models to account for repeated measures

    • Consider time-dependent covariates in statistical analysis

    • Plan for missing data through appropriate imputation strategies

For extended studies spanning months to years, researchers should periodically revalidate antibody performance and adjust protocols as needed to maintain consistent detection sensitivity and specificity.

How do post-translational modifications impact PDE1B detection with different antibodies?

Post-translational modifications (PTMs) of PDE1B can significantly affect antibody binding and experimental outcomes:

  • Common PTMs affecting PDE1B:

    • Phosphorylation (multiple serine/threonine sites)

    • Calcium/calmodulin binding-induced conformational changes

    • Proteolytic processing

    • Ubiquitination

  • Epitope-specific considerations:

    • N-terminal antibodies (AA 1-277): Less affected by regulatory phosphorylation events

    • C-terminal antibodies (AA 370-536): May be influenced by regulatory phosphorylation and calmodulin binding

    • Middle region antibodies: Potentially affected by conformational changes

  • Modification-specific detection strategies:

    • Phospho-specific antibodies for studying activity-dependent regulation

    • Conformation-specific antibodies that recognize calmodulin-bound versus free states

    • Antibody panels targeting different epitopes to provide comprehensive detection

  • Experimental approaches:

    • Treat samples with phosphatases or kinases to assess impact on detection

    • Use calcium chelators to evaluate calmodulin-binding effects

    • Compare detection under native versus denaturing conditions

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