COAC1 Antibody

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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
Made-to-order (14-16 weeks)
Synonyms
COAC1 antibody; At1g14560 antibody; T5E21.6Mitochondrial carrier protein CoAc1 antibody; AtCoAc1 antibody; Mitochondrial coenzyme A transporter CoAc1 antibody
Target Names
COAC1
Uniprot No.

Target Background

Function
COAC1 is essential for the accumulation of coenzyme A in the mitochondrial matrix.
Gene References Into Functions
  1. At1g14560 encodes the mitochondrial CoA transporter. PMID: 23590975
Database Links

KEGG: ath:AT1G14560

STRING: 3702.AT1G14560.1

UniGene: At.41964

Protein Families
Mitochondrial carrier (TC 2.A.29) family
Subcellular Location
Mitochondrion inner membrane; Multi-pass membrane protein.
Tissue Specificity
Expressed throughout the plant.

Q&A

What is COA-Cl and how does it function in angiogenesis?

COA-Cl (2Cl-C.OXT-A) is a recently developed adenosine-like nucleic acid analog with a molecular weight of 283.71 that demonstrates significant angiogenic properties through activation of mitogen-activated protein (MAP) kinases, particularly ERK1/2. The compound promotes tube formation in human umbilical vein endothelial cells (HUVEC), functioning primarily through the S1P₁ receptor pathway . Unlike protein-based angiogenic factors, COA-Cl offers advantages as a chemically stable, inexpensively synthesized small molecule while still exhibiting strong angiogenic activity across multiple experimental models .

How does COA-Cl compare to other angiogenic factors currently used in research?

While several polypeptide growth factors such as bFGF are clinically available for therapeutic angiogenesis (e.g., treating skin ulcers), these recombinant human proteins tend to be expensive and less stable. COA-Cl presents distinct advantages as a chemically stable small molecule that can be synthesized inexpensively . Although relatively high concentrations of COA-Cl are currently required to induce tube formation and ERK1/2 phosphorylation responses, its identification as working through the S1P₁ pathway provides important mechanistic insight for researchers developing angiogenic therapeutics .

What receptors mediate COA-Cl's cellular effects and how can researchers validate them experimentally?

The S1P₁ receptor has been identified as the primary mediator of COA-Cl signaling, though not exclusively. Researchers can validate this experimentally through multiple complementary approaches:

  • Pharmacological antagonism: S1P₁-selective antagonist W146 and dual S1P₁/S1P₃ antagonist VPC23019 substantially inhibit COA-Cl-induced ERK1/2 activation (by 77.2±17.9% and 62.5±11.9%, respectively) and tube formation in HUVEC .

  • Genetic knockdown: siRNA targeting S1P₁, but not S1P₃, significantly attenuates COA-Cl-elicited ERK1/2 responses .

  • Binding competition assays: COA-Cl displaces [³H]S1P in radioligand-binding competition assays in cells overexpressing S1P₁, with COA-Cl and S1P displacing [³H]S1P at pKi values of 4.71±0.18 and 7.60±0.08, respectively .

Notably, COA-Cl also activates ERK1/2 in CHO-K1 cells lacking functional S1P₁ receptors, suggesting additional unidentified targets .

What intracellular signaling cascades are activated by COA-Cl and how do they relate to antibody-mediated pathways?

COA-Cl activates several intracellular signaling pathways that share similarities with antibody-mediated immune responses:

  • G protein-coupled signaling: COA-Cl signals through pertussis toxin-sensitive G𝛼i/o proteins, similar to sphingosine 1-phosphate .

  • Calcium signaling: COA-Cl increases intracellular Ca²⁺ concentration and its responses are sensitive to calcium chelation with BAPTA-AM .

  • Tyrosine kinase activation: COA-Cl induces phosphorylation of p130Cas (a c-Src substrate) and its effects are inhibited by the c-Src tyrosine kinase inhibitor PP2 .

While distinct from antibody signaling, these pathways intersect with immune modulatory networks. For instance, in antibody research, receptors like CXCR1 influence IgG₁ production in response to vaccination , demonstrating how G-protein coupled receptor signaling (similar to S1P₁ activation by COA-Cl) can affect antibody responses.

What are the optimal experimental conditions for studying COA-Cl effects on endothelial cells?

Based on published research methodologies, the following experimental conditions are recommended:

  • Cell models: Human Umbilical Vein Endothelial Cells (HUVEC) serve as the primary model for studying COA-Cl's angiogenic effects .

  • Concentration range: Dose-response studies indicate effective concentrations of 10-100 μM for ERK1/2 activation and tube formation assays .

  • Time course: ERK1/2 phosphorylation appears rapidly after COA-Cl treatment, with peak activation typically occurring within 3-10 minutes .

  • Controls: Include sphingosine 1-phosphate (S1P) as a positive control for S1P₁-mediated responses, and adenosine to distinguish S1P₁-specific from adenosine receptor effects .

  • Inhibitor studies: Pre-treatment with pertussis toxin, BAPTA-AM, or PP2 for mechanistic investigation of G𝛼i/o proteins, calcium signaling, and c-Src activation, respectively .

How can researchers accurately measure COA-Cl binding to receptors when radio-labeled COA-Cl is unavailable?

When direct binding studies with radio-labeled COA-Cl are not feasible due to commercial unavailability, researchers can employ alternative approaches:

  • Competition binding assays: Use established radio-labeled ligands like [³H]S1P and measure displacement by increasing concentrations of unlabeled COA-Cl. This approach has successfully demonstrated COA-Cl's ability to compete with [³H]S1P for S1P₁ binding with a pKi value of 4.71±0.18 .

  • Functional antagonism: Measure inhibition of known receptor-mediated responses (e.g., ERK1/2 phosphorylation) by COA-Cl.

  • Receptor knockout/knockdown studies: Compare effects in cells with genetic manipulation of candidate receptors, as demonstrated with siRNA against S1P₁ and S1P₃ .

  • Heterologous expression systems: Express potential target receptors in cell lines lacking endogenous expression and evaluate COA-Cl responses, as performed with CHO-EDG1 cells stably expressing rat S1P₁ .

How might COA-Cl be utilized in antibody design and engineering research?

COA-Cl could potentially intersect with antibody engineering in several innovative ways:

  • Target identification: Since COA-Cl works primarily through S1P₁ receptors, researchers could develop antibodies targeting components of this pathway to modulate angiogenesis .

  • Combination approaches: Researchers could explore synergistic effects between COA-Cl and antibody-based therapies for enhanced therapeutic angiogenesis.

  • Biomarker discovery: The S1P₁ pathway activated by COA-Cl could help identify novel biomarkers for monitoring antibody therapy responses in conditions requiring angiogenic modulation.

  • Platform integration: The principles used in de novo antibody design platforms (like the RFdiffusion network that designs antibody variable heavy chains to bind specific epitopes ) could potentially be applied to create antibodies that modulate COA-Cl-activated pathways.

What are the challenges in translating COA-Cl research to therapeutic antibody development?

Researchers face several challenges when attempting to translate COA-Cl research to therapeutic antibody development:

  • Receptor specificity: While COA-Cl primarily acts through S1P₁, it also activates other undefined targets, making it difficult to develop highly specific antibodies against relevant pathways .

  • Concentration requirements: Current research indicates relatively high concentrations of COA-Cl are needed for biological effects, suggesting potential off-target effects that must be considered when developing complementary antibody approaches .

  • Pathway complexity: The downstream signaling cascades activated by COA-Cl involve multiple intracellular components (G𝛼i/o, calcium signaling, c-Src), making it challenging to identify the optimal point for antibody intervention .

  • Structural constraints: Unlike the precisely designed antibody variable heavy chains (VHHs) that can be developed to bind specific epitopes , creating antibodies that modulate the small molecule interactions of COA-Cl requires sophisticated structural biology approaches.

How does COA-Cl compare to other small molecule modulators of angiogenesis in antibody research contexts?

PropertyCOA-ClbFGFRecombinant S1PSmall Molecule S1P₁ Agonists
Molecular Weight283.71 ~18,000379.47Varies (typically <500)
StabilityChemically stable Limited protein stabilityModerateGenerally stable
CostInexpensive to synthesize ExpensiveModerateVariable
Primary TargetS1P₁ receptorFGF receptorsS1P receptorsS1P₁ receptor
Secondary TargetsPotential A₁ receptor, unknown targets in CHO-K1 cells MultipleMultiple S1P receptorsUsually more specific
Angiogenic PotencyStrong in multiple models Very highHighVariable
Research UtilityMechanistic studiesGold standardPhysiological controlTarget validation
Compatibility with Antibody Co-therapiesUnder investigationEstablishedEstablishedEstablished

This comparison highlights COA-Cl's unique position as an inexpensively synthesized, stable angiogenic compound that primarily works through a well-defined receptor pathway .

What lessons from antibody optimization can be applied to improving COA-Cl derivatives?

Recent advances in antibody engineering offer valuable insights that could guide COA-Cl optimization:

  • Targeted affinity modulation: Similar to how antibody Fc regions can be engineered for improved binding to specific receptors (e.g., increasing FcγRIIa binding 25-fold ), COA-Cl derivatives could be designed for enhanced S1P₁ affinity and reduced off-target binding.

  • Structural optimization: The atomically accurate de novo design approach used for single-domain antibodies demonstrates how computational methods can predict binding interactions, potentially applicable to designing COA-Cl derivatives with improved receptor specificity.

  • Rational mutation strategies: The methodology used to identify mutations that increase desired receptor binding while reducing unwanted interactions (as demonstrated with FcγRIIIa/FcγRIIb optimization ) could inform strategic modifications to the COA-Cl structure.

  • Functional screening assays: Display technologies employed in antibody engineering could inspire high-throughput approaches for identifying optimized COA-Cl derivatives with enhanced angiogenic properties.

What are the most promising unexplored research areas combining COA-Cl and antibody technologies?

Several innovative research directions merit exploration:

  • Bispecific constructs: Developing antibody constructs that simultaneously target the S1P₁ pathway and complementary angiogenic pathways could provide synergistic effects with COA-Cl treatment.

  • Targeted delivery systems: Antibody-drug conjugate (ADC) principles could be applied to create COA-Cl delivery systems that target specific tissues requiring angiogenic stimulation.

  • Conditional activation: Engineering antibody fragments that modulate COA-Cl activity only under specific conditions (e.g., hypoxia) could improve therapeutic specificity.

  • Immune modulation: Given that CXCR1 influences specific IgG₁ production in response to vaccination , exploring how COA-Cl affects immune cell function and antibody production represents an untapped research area.

  • Combination therapy biomarkers: Identifying biomarkers that predict response to combined COA-Cl and antibody therapies could advance personalized medicine approaches.

How might computational approaches enhance COA-Cl and antibody research integration?

Computational methods offer several opportunities to advance COA-Cl and antibody research:

  • Structure-based design: The success of RFdiffusion networks in designing de novo antibody variable heavy chains that bind specific epitopes suggests similar approaches could design optimized COA-Cl derivatives or complementary antibodies targeting the S1P₁ pathway.

  • Pathway modeling: Computational models of the S1P₁ signaling network could identify optimal points for intervention with antibody-based therapies that complement COA-Cl's angiogenic effects.

  • Virtual screening: In silico screening of COA-Cl derivatives could predict compounds with improved S1P₁ specificity and reduced binding to adenosine receptors or other off-targets.

  • Network analysis: Systems biology approaches could map interactions between COA-Cl-activated pathways and antibody-mediated immune responses, potentially revealing unexpected synergies or antagonisms.

  • Machine learning: Patterns extracted from experimental data on COA-Cl and antibody interactions could train algorithms to predict optimal combination strategies for specific therapeutic applications.

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