CD36 Recombinant Monoclonal Antibody

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Description

Production and Mechanism of CD36 Recombinant Monoclonal Antibodies

CD36 recombinant monoclonal antibodies are synthesized using in vitro expression systems. Key steps include:

  • Cloning: Isolation of antibody genes from immunoreactive rabbits or other hosts.

  • Phage Display: Selection of high-affinity clones using phage vectors.

  • Mammalian Expression: Production in transfected cell lines (e.g., CHO or HEK293) for proper glycosylation .

  • Purification: Affinity chromatography (e.g., Protein A/G) to isolate the antibody .

These antibodies are tailored for specific epitopes on CD36, enabling precise interaction with ligands like oxidized LDL, thrombospondin, and fatty acids . Recombinant formats eliminate reliance on animal sera, reducing variability .

Key Applications in Research and Diagnostics

CD36 recombinant monoclonal antibodies are employed across multiple experimental platforms:

ApplicationAntibody ExamplesKey FeaturesReferences
Flow CytometryMCA2748 (FITC), MCA722 (Alexa 647)Detects CD36 on platelets, macrophages, and adipocytes. Quantifies membrane expression.
ImmunoprecipitationMCA2748 (Purified)Identifies CD36-protein complexes in lipid metabolism and innate immunity pathways.
Western BlottingEPR6573 (Abcam)Validates CD36 expression in human heart, adipose, and platelet lysates. Detects 88 kDa isoform.
Functional BlockingD11 scFv, JC63.1Inhibits CD36-mediated uptake of oxidized LDL, fatty acids, and apoptotic cells.

Research Findings and Functional Insights

Recent studies highlight the therapeutic potential of CD36-targeting antibodies:

StudyModel SystemOutcomeMechanismReference
Macrophage Foam Cell FormationTHP-1 cells (human)D11 scFv reduces oxLDL uptake by 50%, decreasing lipid droplet content.Blocks CD36-oxLDL interaction, inhibiting lipid accumulation.
Hepatocyte Lipid MetabolismHepG2 cells (human)JC63.1 antibody mitigates palmitate-induced lipid storage and clonogenicity.Disrupts CD36-fatty acid transport.
AtherosclerosisMouse modelsAnti-CD36 antibodies (e.g., JJ2005) reduce plaque formation via decreased macrophage LDL uptake.Targets oxidized lipoprotein recognition.
Malaria PathogenesisPlasmodium falciparumCD36 antibodies (e.g., FA6-152) disrupt parasitized erythrocyte adhesion.Inhibits PfEMP1-CD36 interaction.

Therapeutic and Diagnostic Implications

CD36-targeting antibodies hold promise in treating:

  • Atherosclerosis: Blocking CD36 reduces macrophage foam cell formation and plaque development .

  • Metabolic Disorders: Inhibiting fatty acid uptake in adipocytes and hepatocytes may mitigate obesity-related diseases .

  • Malaria: Disrupting CD36-mediated erythrocyte sequestration could enhance antiparasitic therapies .

Challenges and Future Directions

While recombinant antibodies offer superior consistency, challenges remain:

  • Epitope Competition: Overlapping binding sites (e.g., D11 vs. JC63.1) necessitate careful validation .

  • Species Cross-Reactivity: Human-specific antibodies may fail in murine models, requiring species-matched clones .

  • Therapeutic Efficacy: Translation to in vivo models requires optimization of pharmacokinetics and delivery .

Product Specs

Buffer
Rabbit IgG in phosphate buffered saline, pH 7.4, 150mM NaCl, 0.02% sodium azide and 50% glycerol.
Description

The CD36 recombinant monoclonal antibody is meticulously synthesized in vitro through a multi-step process. Initially, CD36 antibody genes are isolated from B cells derived from immunoreactive rabbits. These genes are then subjected to amplification and cloning into phage vectors, which are subsequently introduced into mammalian cell lines to facilitate the generation of functional antibodies in significant quantities. The resulting CD36 recombinant monoclonal antibody is purified from the culture supernatant of the transfected cell lines through affinity chromatography. This antibody is highly suitable for ELISA and IHC applications, enabling the specific detection of human CD36 protein.

CD36 is a multifaceted cell surface receptor that plays a pivotal role in the recognition, uptake, and metabolism of lipids and fatty acids. Its functions extend to immune responses, inflammation, and taste perception, making it a crucial protein involved in various physiological and pathological processes.

Form
Liquid
Lead Time
Typically, we can dispatch the products within 1-3 working days after receiving your orders. Delivery time may vary depending on the purchasing method or location. For specific delivery times, please consult your local distributors.
Synonyms
Platelet glycoprotein 4 (Fatty acid translocase) (FAT) (Glycoprotein IIIb) (GPIIIB) (Leukocyte differentiation antigen CD36) (PAS IV) (PAS-4) (Platelet collagen receptor) (Platelet glycoprotein IV) (GPIV) (Thrombospondin receptor) (CD antigen CD36), CD36, GP3B GP4
Target Names
Uniprot No.

Target Background

Function
CD36 is a multifunctional glycoprotein that acts as a receptor for a diverse range of ligands. These ligands can be of proteinaceous nature, such as thrombospondin, fibronectin, collagen, or amyloid-beta, as well as of lipidic nature, such as oxidized low-density lipoprotein (oxLDL), anionic phospholipids, long-chain fatty acids, and bacterial diacylated lipopeptides. These ligands are generally multivalent, enabling them to engage multiple receptors simultaneously. The resulting formation of CD36 clusters initiates signal transduction and internalization of receptor-ligand complexes. The dependency on coreceptor signaling is strongly ligand specific. Cellular responses to these ligands are involved in angiogenesis, inflammatory response, fatty acid metabolism, taste, and dietary fat processing in the intestine.

CD36 binds long-chain fatty acids and facilitates their transport into cells, thus participating in muscle lipid utilization, adipose energy storage, and gut fat absorption. In the small intestine, CD36 plays a role in the proximal absorption of dietary fatty acid and cholesterol, contributing to optimal chylomicron formation, possibly through the activation of the MAPK1/3 (ERK1/2) signaling pathway. CD36 is also involved in oral fat perception and preferences. Detection of long-chain fatty acids in the tongue leads to a rapid and sustained rise in flux and protein content of pancreatobiliary secretions. In taste receptor cells, CD36 mediates the induction of an increase in intracellular calcium levels by long-chain fatty acids, leading to the activation of the gustatory neurons in the nucleus of the solitary tract.

CD36 is an important factor in both ventromedial hypothalamus neuronal sensing of long-chain fatty acids and the regulation of energy and glucose homeostasis. CD36 acts as a receptor for thrombospondins, THBS1, and THBS2, mediating their antiangiogenic effects. As a coreceptor for the TLR4:TLR6 heterodimer, CD36 promotes inflammation in monocytes/macrophages. Upon ligand binding, such as oxLDL or amyloid-beta 42, CD36 interacts with the TLR4:TLR6 heterodimer. The complex is internalized and triggers an inflammatory response, leading to NF-kappa-B-dependent production of CXCL1, CXCL2, and CCL9 cytokines, via the MYD88 signaling pathway, and CCL5 cytokine, via the TICAM1 signaling pathway, as well as IL1B secretion, through the priming and activation of the NLRP3 inflammasome. CD36 is a selective and nonredundant sensor of microbial diacylated lipopeptide that signals via the TLR2:TLR6 heterodimer. This cluster triggers signaling from the cell surface, leading to the NF-kappa-B-dependent production of TNF, via the MYD88 signaling pathway, and subsequently is targeted to the Golgi in a lipid-raft dependent pathway. Finally, CD36 directly mediates cytoadherence of Plasmodium falciparum parasitized erythrocytes and the internalization of particles independently of TLR signaling.

Gene References Into Functions
  1. Normal and defective embryos lacking SR-B1 have divergent expression profiles PMID: 30290792
  2. CD36 plays an important role in the preabsorptive hormone and Bile acids responses that coordinate brain and gut regulation of energy metabolism. PMID: 29546316
  3. We identified CD36 as one of the most significantly upregulated lipid-related genes in senescent cells. We showed that overexpression of CD36 in proliferating cells resulted in a senescence-like phenotype. We hypothesize that CD36 overexpression leads to changes in membrane remodeling and plausibly mediates SASP release. PMID: 29974107
  4. Our findings indicated that hepatic stellate cells-derived COMP collaborated with CD36 and subsequently played an essential role in MEK/ERK and PI3K/AKT-mediated hepatocellular carcinoma (HCC) progression. COMP might act as a promising target for the diagnosis and treatment of aggressive HCC. PMID: 30231922
  5. Study shows the CD36 expression level downregulated in the lung cancer. Further, results found that the high methylation of CD36 corresponding to its low expression in lung cancer played an important role in the procession of lung cancer. PMID: 29969695
  6. The rs7755 and rs3211956 loci polymorphisms of CD36 gene and genotype E2/E3, E3/E4, E4/E4 of ApoE gene, and E2 and E4 alleles were statistically related with Alzheimer disease. PMID: 30235742
  7. This study suggests that T2D patients with different genotypes at CD36, NOS3 and PPARG respond differentially to intervention of omega-3 supplements in blood lipid profiles. PMID: 29703528
  8. Gene expressions of YKL-40 and CD36 were significantly higher in patients with T2DM (>5 yr) with hypertension compared to healthy controls (P=0.006). In addition, a significant increase in serum levels of sCD36, PPAR-gamma and YKL-40 was observed in patients with T2DM (>5 yr) with hypertension compared to healthy controls PMID: 29806605
  9. genetic association studies in population of preschool-aged children in Guelph, Ontario: Data suggest that SNPs in CD36 (rs1761667), TAS1R2 (rs35874116), and TAS2R38 (rs713598) are associated with snacking behavior in the population studied. [PILOT PROJECTS] PMID: 29385734
  10. CD36 is important for muscle glucose metabolism and optimal insulin responsiveness. PMID: 29748289
  11. Significant up-regulation of PBMCs CAP1, CD36 mRNA and plasma resistin found in significant coronary artery disease, as well as in nonsignificant coronary artery disease compared to control group, indicates that resistin could be able to exert its effects stronger on cells with up-regulated CAP1 mRNA thus contributing atherosclerosis development. PMID: 28707728
  12. CD36, also known as FA translocase (FAT), that functions as a transmembrane protein and mediates the uptake of FAs, is observed to be highly expressed in breast cancer tissues. Furthermore, the anti-proliferation effect caused by the SCD1 inhibitor can not be reversed by exogenous oleic acid supplementation in CD36 knockdown breast cancer cells PMID: 28765876
  13. Results showed that CD36 genotypes were not associated with the progression to T2DM independently. however, the study suggested a positive interaction between the CD36 variants and obesity on T2DM susceptibility, which might be through a cardiometabolic disorder. PMID: 29572193
  14. Taken together, these findings indicate that rs1194182 polymorphism in the CD36 gene was associated with intracerebral hemorrhage, and genotype GG could be an independent predictor. PMID: 28804718
  15. Three polymorphisms were found to be associated with increases in IOP: rs1049673 (p = 0.006), rs3211931 (p = 0.01), and rs1761667 (p = 0.043) at the time of the third injection only. PMID: 28557591
  16. CD36 marks adipocyte progenitor cells with pronounced adipogenic potential, most probably by facilitating lipid uptake. PMID: 28470788
  17. sCD36 levels increased with the level of intrahepatic lipid, insulin resistance and dyslipidemia; association with markers of obesity and the association with hepatic CD36 mRNA expression suggest that excess sCD36 in NAFLD patients is derived from the hepatocytes, which may support that CD36 is involved in NAFLD development; an unhealthy CD36 expression in adipose and hepatic tissue may shift the fatty-acid load to liver PMID: 27916988
  18. In conclusion, oxLDL induced MALAT1 transcription and MALAT1 recruits beta-catenin to binding sites on the CD36 promoter to induce CD36 expression, which enhances lipid uptake in macrophages. PMID: 29258822
  19. Based on these findings, we conclude that an acetylation-deacetylation signaling step might regulate CD36 functional activity and subsequent lipid accumulation and caspase 3 activation in pancreatic beta cells exposed to GLT conditions. PMID: 29274335
  20. These results indicated that AKT-PPARgamma signaling pathway mediated HG-induced lipid deposition by upregulating CD36 expression in HK-2 cells and that inhibition of AKT-PPARgamma signaling pathway had the potential beneficial effects of reducing lipid deposition in diabetic kidney. PMID: 28497039
  21. CD36/STAT3 SNPs linked to cardiovascular disease may modulate the effects of different diets on biochemical and inflammatory markers among these subjects. PMID: 27596284
  22. These data show the potential pleiotropic influence of CD36 SNP rs1984112 on lipoprotein accumulation in a young healthy cohort. PMID: 27460265
  23. S100A12 binds to CD36 in the low nanomolar range at the CD36 thrombospondin-1 binding site. PMID: 27734162
  24. The inhibition of Rac1 by NSC23766 inhibited NADPH oxidase activity and ROS generation induced by high glucose concentrations in INS-1 & human 1.1b4 beta cells. Inhibition of Rac1-NOX complex activation by NSC23766 significantly reduced CD36 expression in INS-1 and human 1.1b4 beta cell membrane fractions. PMID: 27912197
  25. Review of the regulation and post-translational modification of CD36 and its role in renal pathophysiology and chronic kidney disease. PMID: 28919632
  26. The A allele of the rs1761667 single nucleotide polymorphism in CD36 is associated with decreased fat and sugar intake in obese children and adolescents. PMID: 28237985
  27. The present study concluded that miR-758-5p decreases lipid accumulation of foam cell via regulating CD36-mediated cholesterol uptake. PMID: 28965954
  28. Data show that all the six inflammation-related CpG-SNPs genotypes including IL1B rs16944, IL1R2 rs2071008, PLA2G7 rs9395208, FAM5C rs12732361, CD40 rs1800686, and CD36 rs2065666 were associated with coronary heart disease (CHD), suggesting an important role of inflammation in the risk of CHD. PMID: 27461004
  29. CD36 single nucleotide polymorphisms rs1194182 and rs10499859 reduce risk to pulmonary tuberculosis in a Chinese Han population. PMID: 28693442
  30. CD36 and MARCO are associated with the susceptibility of Chinese Han females to carotid atherosclerosis. Menopausal status may affect the association between gene polymorphisms and carotid atherosclerosis in the female Chinese Han population. PMID: 28866086
  31. this study shows that diet-induced obesity links to estrogen receptor-positive breast cancer progression via LPA/PKD-1-CD36 signaling-mediated microvascular remodeling PMID: 28186980
  32. These findings suggest that atherogenic conditions critically regulate platelet CD36 signaling by increasing superoxide radical anion and hydrogen peroxide through a mechanism that promotes activation of MAPK ERK5. PMID: 28336528
  33. High CD36 expression is associated with Acute Monocytic Leukemia. PMID: 28108519
  34. Common CD36 SNPs reduce adipose and heart CD36 levels to higher chylomicron remnants and LDL in humans. PMID: 27729386
  35. this studies provide evidence that CD36 mediates surfactant lipid uptake by human macrophages and that Mycobacterium tuberculosis exploits this function for growth PMID: 27913648
  36. a substantial fraction of unligated CD36 exists in nanoclusters, which not only promote TSP-1 binding but are also enriched with the downstream effector Fyn. PMID: 27694211
  37. Influence of a common genetic variant in CD36 on susceptibility to endothelial dysfunction and its response to sildenafil treatment. PMID: 27144937
  38. This study supports the notion that CD36 - specifically rs1527483, plays a role in oral fat perception, but not in influencing obesity in Malaysian subjects. PMID: 27847178
  39. Lysophosphatidic acid/PKD-1 signaling leads to nuclear accumulation of histone deacetylase 7, where it interacts with forkhead box protein O1 to suppress endothelial CD36 transcription and mediates silencing of antiangiogenic switch, resulting in proangiogenic and proarteriogenic reprogramming. PMID: 27013613
  40. Individuals >/=30 years old with abdominal obesity presented lower CD36 levels, and lower subexpression of CD36 mRNA compared to individuals <30 years old with abdominal obesity. PMID: 27525284
  41. molecular dynamics (MD) simulation studies demonstrated that CD36 TM1 exhibited a switching dimerization with two right-handed packing modes driven by the (12)GXXXGXXXA(20) and (20)AXXG(23) motifs, and the mutational effect of G16I and G23I revealed these representative conformations of CD36 TM1. PMID: 28336533
  42. study demonstrates that tamoxifen inhibits CD36 expression and cellular oxLDL accumulation by inactivating the PPARgamma signaling pathway, and the inhibition of macrophage CD36 expression can be attributed to the anti-atherogenic properties of tamoxifen. PMID: 27358406
  43. This review focuses on recent advances on the role of these signaling pathways and transcription factors involved in the regulation of CD36 and GLUT4. PMID: 27403883
  44. Chromatin immunoprecipitation analysis revealed that Rspo2 manipulation led to regulation of the direct binding between PPARgamma and CD36. PMID: 27571704
  45. description of a subpopulation of CD44(bright) cells in human oral carcinomas that do not overexpress mesenchymal genes, are slow-cycling, express high levels of the fatty acid receptor CD36 and lipid metabolism genes, and are unique in their ability to initiate metastasis PMID: 27974793
  46. Our results are similar to those found in Portuguese population which reported the role of rs1984112_G in increasing reticulocyte level among SCD patients. Consequently, the rs1984112_G of CD36 could be considered as a reliable biomarker for predicting patients at high risk for vascular occlusions and thus, allows earlier and more effective therapeutic management. PMID: 27869039
  47. The SNP rs3211892 has previously been associated with heart disease and other conditions but the present study is the first to identify a significant association between variations in CD36 gene and the risk of Alzheimer's disease. PMID: 28111291
  48. the results demonstrate that a novel CD36-ERK/MAPK-dependent mechanism is involved in macrophage lipid accumulation by piHDL, there by revealing the importance of functional deficiency in HDL and its potential link to atherogenesis. PMID: 27995417
  49. The findings reveal previously unknown pro-thrombotic activities of oxidized plasma albumin via a CD36 dependent pathway in end-stage kidney disease patients. PMID: 26905525
  50. no association between placental expression and maternal body mass index PMID: 27016784

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Database Links

HGNC: 1663

OMIM: 173510

KEGG: hsa:948

STRING: 9606.ENSP00000308165

UniGene: Hs.120949

Involvement In Disease
Platelet glycoprotein IV deficiency (PG4D); Coronary heart disease 7 (CHDS7)
Protein Families
CD36 family
Subcellular Location
Cell membrane; Multi-pass membrane protein. Membrane raft. Golgi apparatus. Apical cell membrane.

Q&A

What is a CD36 recombinant monoclonal antibody and how is it produced?

CD36 recombinant monoclonal antibodies are laboratory-engineered antibodies that specifically target the CD36 protein, which is expressed on various cell types including macrophages, platelets, and adipocytes. Unlike traditional monoclonal antibodies produced in animals, recombinant antibodies are created using in vitro expression systems through a multi-step process.

The production typically begins with the isolation of CD36 antibody genes from B cells derived from immunoreactive rabbits. These genes undergo amplification and cloning into phage vectors, which are subsequently introduced into mammalian cell lines to facilitate the generation of functional antibodies in substantial quantities. The resulting antibodies are then purified from the culture supernatant through affinity chromatography methods like protein A purification .

This in vitro approach allows for precise control over the antibody's characteristics and eliminates batch-to-batch variability associated with traditional antibody production methods. The recombinant process also enables the synthesis of antibodies with improved specificity and sensitivity compared to conventional methods .

What are the main advantages of using recombinant monoclonal antibodies for CD36 detection?

Recombinant monoclonal antibodies offer several significant advantages over conventional antibodies for CD36 detection in research applications:

  • Enhanced specificity and sensitivity: The recombinant production process allows for selection of optimal antibody sequences, resulting in higher target specificity and improved signal-to-noise ratios in experimental applications .

  • Lot-to-lot consistency: By using defined genetic sequences and controlled expression systems, recombinant antibodies demonstrate minimal batch-to-batch variation, ensuring experimental reproducibility over time and across different studies .

  • Animal origin-free formulations: This approach reduces ethical concerns related to animal use and eliminates potential contaminants from animal sources, making them more suitable for certain applications .

  • Broader immunoreactivity: Particularly with rabbit-derived sequences, recombinant antibodies can recognize a wider range of epitopes due to the larger rabbit immune repertoire, enhancing their utility across different experimental systems .

  • Molecular-level identity confirmation: Advanced biophysical quality control methods verify antibody identity at the molecular level, further ensuring consistency between production batches .

These advantages make recombinant CD36 antibodies particularly valuable for longitudinal studies where consistent reagent performance is critical to experimental outcomes .

Where is CD36 expressed and what cellular functions does it serve?

CD36 has a broad expression pattern across multiple cell types and tissues, making it an important target for various research applications:

Cell/Tissue TypeCD36 Expression and Function
MacrophagesHigh expression; involved in foam cell formation, oxLDL uptake, and inflammatory responses
PlateletsMajor glycoprotein (GPIV); involved in thrombosis and collagen binding
AdipocytesMediates long-chain fatty acid uptake for lipid storage
Microvascular endotheliumInvolved in angiogenesis and thrombospondin-1 signaling
Cardiac muscleExpressed primarily on endothelial cells; involved in fatty acid metabolism
Retinal epithelial cellsContributes to retinal function and lipid processing
Intestinal epitheliumInvolved in fatty acid absorption during digestion
Smooth muscle cellsModerate expression; roles in lipid metabolism
Dendritic cellsInvolved in antigen presentation and immune regulation
MicrogliaParticipates in neuroinflammatory processes

CD36 functions as a scavenger receptor that recognizes multiple ligands including oxidized low-density lipoproteins, long-chain fatty acids, apoptotic cells, thrombospondin, collagen, and malaria-infected erythrocytes. It plays critical roles in lipid metabolism, inflammation, atherosclerosis, angiogenesis, and innate immunity .

In pathological contexts, CD36 has been implicated in various diseases including atherosclerosis, metabolic disorders, malaria pathogenesis, and cancer progression, making it an important target for biomedical research .

How can CD36 recombinant monoclonal antibodies be used to study lipid metabolism pathways?

CD36 recombinant monoclonal antibodies provide valuable tools for investigating lipid metabolism due to CD36's central role as a fatty acid translocase. Several methodological approaches can be employed:

Cellular Lipid Uptake Analysis:
Researchers can use fluorescently-labeled fatty acids (such as Nile Red) in combination with CD36 immunostaining to evaluate co-localization patterns in various cell types. This approach allows visualization of CD36's role in fatty acid transport at the subcellular level . Additionally, comparing lipid uptake in normal versus CD36 antibody-blocked cells can quantify the proportion of fatty acid transport that is CD36-dependent.

Mechanistic Pathway Investigations:
Co-immunoprecipitation experiments using CD36 antibodies can identify protein interaction partners in lipid metabolism pathways. Time-course analyses tracking CD36 localization after lipid exposure via immunofluorescence can reveal trafficking dynamics related to fatty acid transport. Different epitope-targeting antibodies can distinguish between functional domains of CD36 involved in lipid binding versus other functions .

Translational Research Applications:
CD36 expression levels can be correlated with lipid accumulation in tissues from models of metabolic disease using immunohistochemistry or Western blot techniques. Changes in CD36 expression in response to high-fat diets or lipid-modulating drugs can be monitored to understand regulatory mechanisms . Comparing wild-type and CD36-deficient models helps establish causality in lipid metabolism defects.

The functional blocking capability of some CD36 antibodies makes them particularly valuable for dissecting CD36's multiple roles in lipid metabolism pathways and distinguishing between its various physiological functions .

What are the considerations for using CD36 antibodies in atherosclerosis and cardiovascular disease research?

When employing CD36 antibodies in atherosclerosis and cardiovascular disease research, several methodological considerations are essential for generating reliable and interpretable results:

Model Selection and Validation:
Researchers must determine whether human or animal models are being studied, as epitope recognition can vary across species . It's crucial to validate antibody reactivity in the specific cardiovascular tissues of interest, as expression patterns may differ from standard test tissues. Considering multiple antibody clones targeting different epitopes can provide confirmation of findings and more comprehensive insights.

Experimental Design Factors:
For atherosclerotic plaque studies, optimizing immunohistochemistry protocols for lipid-rich environments is essential, often requiring specialized fixation and antigen retrieval methods . When studying oxidized LDL (oxLDL) uptake via CD36, researchers should ensure that the antibody epitope doesn't overlap with the oxLDL binding domain to avoid competitive inhibition that could confound results. In flow cytometry applications, careful gating strategies are necessary to distinguish CD36-positive foam cells from other macrophage populations.

CD36 antibodies are particularly valuable in cardiovascular research for tracking macrophage infiltration, foam cell formation in vessel walls, and assessing the impact of therapeutic interventions on these processes .

How do researchers distinguish between different functional domains of CD36 using monoclonal antibodies?

Distinguishing between CD36's functional domains is crucial for understanding its diverse roles. Recombinant monoclonal antibodies serve as valuable tools for this purpose through several approaches:

Epitope Mapping Strategies:
Researchers can utilize panels of antibodies with known epitope recognition sites to identify specific functional regions of the CD36 protein . Cross-blocking experiments, where two antibodies compete for binding, help determine if they recognize overlapping epitopes, providing structural insights . Creating domain deletion mutants of CD36 and testing antibody binding allows precise mapping of recognition sites that can be correlated with functional domains.

Structure-Function Analysis:
The region defined by amino acids 155-183 has been identified as an important functional and immunogenic domain, as demonstrated by antibodies like OKM5, FA6-152, L103, and 10/5 that bind this region . Antibodies recognizing distinct domains can be used in parallel experiments to correlate domain accessibility with functional outputs in various biological processes. Comparing the effects of domain-specific blocking antibodies on different CD36 functions (e.g., thrombospondin binding versus fatty acid uptake) helps dissect the protein's multifunctional nature.

Applied Research Examples:
In malaria research, antibodies targeting specific CD36 domains can differentiate between regions involved in Plasmodium falciparum binding and those involved in other functions . For lipid metabolism studies, antibodies recognizing the fatty acid binding domain provide insights into transport mechanisms that other domain-specific antibodies cannot .

This approach has revealed that the 155-183 sequence is a surface-exposed, immunogenic region important for various ligand interactions, including the binding of anti-Nak(a) serum to CD36, demonstrating how antibodies can uncover functional architecture of complex receptors .

What are the common issues encountered in Western blot applications and how can they be resolved?

Western blotting with CD36 antibodies presents several technical challenges due to CD36's complex post-translational modifications and membrane localization:

Band Size Variability:
While CD36 has a theoretical molecular weight of 53 kDa, observed bands typically range from 74-88 kDa due to extensive glycosylation . Multiple bands may appear due to different glycosylation states, proteolytic processing, or splice variants. This variability can be addressed by including positive control lysates (e.g., platelets or adipose tissue) to establish expected band patterns for comparison .

Sample Preparation Challenges:
As a membrane protein, CD36 may aggregate during sample preparation, causing smeared bands that complicate interpretation. To avoid this, researchers should avoid boiling samples and instead heat at 37°C or 70°C in sample buffer containing adequate SDS (1-2%). Including reducing agents like β-mercaptoethanol is essential to break disulfide bonds and achieve consistent results.

Optimization Parameters for CD36 Western Blotting:

ParameterRecommended ConditionNotes
Gel Type10% Bis-trisRun at 200V for 35 minutes
TransferNitrocellulose membrane30V for 70 minutes
Blocking2-5% BSA in TBSTBSA preferred over milk proteins
Primary Antibody1:1000 dilutionOvernight incubation at 4°C
Secondary AntibodyAnti-rabbit HRP1:10000-1:20000 dilution
Positive ControlsHuman platelets, heart, adipose tissueExpected band size: 74-88 kDa

Detection Sensitivity Issues:
Low expression in some cell types may lead to weak signals that are difficult to interpret. Enhanced chemiluminescence substrates can improve detection, as can increasing protein loading (50-100 μg total protein). Longer primary antibody incubation (overnight at 4°C) typically improves signal quality for CD36 detection.

These optimizations have been demonstrated to produce clear bands at expected molecular weights when using validated CD36 recombinant monoclonal antibodies in various experimental systems .

How can researchers validate the specificity of CD36 recombinant monoclonal antibodies?

Validating antibody specificity is critical for ensuring reliable experimental results. For CD36 recombinant monoclonal antibodies, several complementary approaches are recommended:

Positive and Negative Control Samples:
Researchers should use tissues/cells known to express high levels of CD36 (platelets, adipocytes, macrophages) as positive controls . CD36-deficient cell lines or tissues from CD36 knockout animals serve as essential negative controls to confirm specificity. Testing multiple antibody clones targeting different CD36 epitopes can help confirm consistent detection patterns and increase confidence in specificity.

Genetic Manipulation Approaches:
Overexpression validation involves testing the antibody on cells transfected with CD36 expression vectors, which should show enhanced signal compared to non-transfected cells . Knockdown validation using CD36-targeting siRNA/shRNA should demonstrate proportional decreases in signal intensity. CRISPR/Cas9 knockout cells provide definitive negative controls that should show complete absence of specific signal.

Advanced Validation Methods:
Immunoprecipitation followed by mass spectrometry can confirm the identity of the captured protein as CD36. Correlation of protein detection with mRNA expression across different cell types provides additional validation of specificity. Multi-method confirmation using different detection techniques (Western blot, immunohistochemistry, flow cytometry) strengthens confidence in antibody specificity.

Cross-Species Reactivity Testing:
If the antibody claims multi-species reactivity, it should be validated in each species separately using appropriate controls. Some antibodies, like clone 002, have species-specific reactivity (e.g., rat-specific) that must be considered when designing experiments .

These validation approaches ensure that experimental findings truly reflect CD36 biology rather than non-specific interactions or artifacts, which is essential for generating reproducible and reliable research data .

What are the optimal fixation and antigen retrieval methods for immunohistochemistry?

Detecting CD36 in tissue sections requires careful consideration of fixation and processing methods to preserve both antigenicity and membrane localization:

Fixation Options and Considerations:

Fixation MethodAdvantagesConsiderations for CD36 Detection
Formalin/PFA (4%)Excellent morphology preservationRequires heat-mediated antigen retrieval; common in paraffin sections
Paraformaldehyde (2-4%)Better antigen preservation than formalinStill requires antigen retrieval; good for frozen sections
Alcohol-based (ethanol/methanol)Good for some CD36 epitopesMay disrupt membrane structure; can affect glycoprotein detection
Zinc-based fixativesBetter preserves some epitopesLess commonly used in standard protocols

Effective Antigen Retrieval Protocols:
Heat-mediated retrieval using Tris-EDTA buffer (pH 9.0) has been successfully validated with CD36 antibodies and is often preferred over citrate buffer . Pressure cooker methods (20 minutes) typically yield better results than water bath methods for consistent epitope exposure. The retrieval conditions should be optimized for each tissue type and antibody clone to balance antigen recovery with tissue morphology preservation.

Tissue-Specific Considerations:
Adipose tissue may require shorter fixation times due to lipid content that can interfere with antibody penetration. Cardiac tissue often requires robust antigen retrieval for optimal CD36 detection due to its density . Vascular tissue requires attention to elastic lamina autofluorescence in fluorescent applications, which may require specific quenching steps.

Antibody Incubation Parameters:
For paraffin sections, primary antibody dilutions of 1:50-1:200 are typically effective, with higher dilutions (1:10,000) possible for highly sensitive recombinant antibodies . Overnight incubation at 4°C often improves signal-to-noise ratio compared to shorter incubations at room temperature. Secondary detection should be optimized based on the expression level, with ready-to-use polymer detection systems offering good sensitivity for most applications.

These protocols have been validated in studies using CD36 antibodies on various tissues including cardiac muscle, hepatocellular cancer, and adipose tissue, demonstrating consistent and specific staining patterns .

How should researchers choose between different clones of CD36 recombinant monoclonal antibodies?

Selecting the optimal CD36 antibody clone is critical for experimental success. Consider these factors when choosing between different recombinant monoclonal antibodies:

Application-Specific Performance Characteristics:

ApplicationKey Selection CriteriaRecommended Considerations
Western BlotEpitope accessibility in denatured proteinAntibodies targeting linear epitopes; validated band pattern (74-88 kDa)
IHC/ICCEpitope preservation after fixationTest multiple antigen retrieval methods; clone EPR6573 for human samples
Flow CytometrySurface epitope recognitionAntibodies targeting extracellular domains; clone TR9 has been validated
Functional BlockingDomain-specific inhibitionAntibodies targeting specific functional domains (e.g., aa 155-183)
ELISAPair compatibilityConsider matched pair antibodies (84078-3-PBS capture and 84078-5-PBS detection)

Epitope Considerations for Specific Research Questions:
Extracellular domain epitopes (aa 30-439) are accessible in flow cytometry and live-cell applications, making them suitable for cell surface studies . The 155-183 region is important for multiple ligand interactions; antibodies to this region may have blocking activity useful for functional studies . C-terminal epitopes may better detect all splice variants in expression studies.

Species Cross-Reactivity Requirements:
Researchers working across species should verify that the antibody recognizes conserved epitopes to ensure consistent results. Some clones like EPR6573 are human-specific, while others recognize multiple species . Clone 002 is specifically optimized for rat CD36 detection, which is important for rodent model studies .

Technical Validation Status:
Priority should be given to antibodies validated through multiple techniques and independent studies for greater reliability. Clones validated on tissue microarrays provide broader application confirmation . Widely used clones like EPR6573 offer the advantage of extensive literature support and optimization protocols .

This systematic approach to antibody selection helps ensure reliable results across different experimental systems and research questions, particularly important for studies focused on CD36's multiple functional roles .

What are the considerations for quantifying CD36 expression levels?

Accurate quantification of CD36 expression requires careful attention to methodology and controls to ensure reliable and reproducible results:

Sample Preparation and Normalization Strategies:
For Western blot quantification, normalize CD36 signal to stable reference proteins (β-actin, GAPDH) with caution, as CD36 expression can vary widely across conditions . Flow cytometry analysis requires proper isotype controls and fluorescence-minus-one (FMO) controls to set accurate gates and account for background. RT-qPCR validation using multiple reference genes helps correlate mRNA with protein expression for more comprehensive analysis.

Quantification Techniques by Method:

MethodQuantification ApproachKey Considerations for CD36
Western BlotDensitometry analysisAccount for glycosylation variability (74-88 kDa bands); use standard curves with recombinant protein
Flow CytometryMean/median fluorescence intensityInclude calibration beads; report as fold-change vs. controls for comparable results
IHC/ICCH-score or digital image analysisStandardize acquisition settings; consider membrane vs. cytoplasmic localization
ELISAAbsolute quantificationUse recombinant CD36 standard curves; validate with matched antibody pairs

Dynamic Range and Expression Variability:
CD36 expression can change dramatically (>10-fold) in response to stimuli like fatty acids, requiring methods with sufficient dynamic range . Ensure detection methods can capture these wide expression differences without saturation at high levels or loss of sensitivity at low levels. Consider log-scale reporting for wide expression differences to accurately represent the full range of biological responses.

Physiological and Pathological Variables:
CD36 expression increases with macrophage foam cell formation and adipocyte differentiation, requiring appropriate time points for meaningful comparisons. Expression is modulated by dietary conditions (e.g., high-fat diets increase CD36 in multiple tissues), necessitating careful control of experimental variables . Different functional pools of CD36 (surface vs. intracellular) may require distinct quantification approaches to fully characterize the protein's distribution.

Technical Validation Requirements:
Confirm antibody linearity across the expected expression range through dilution series. Use multiple antibody clones or detection methods to validate expression changes and avoid clone-specific artifacts. Consider absolute quantification methods for more precise comparisons between independent studies.

These approaches enable reliable quantification of CD36 under various experimental conditions, from baseline expression to pathological states, providing meaningful insights into its biological regulation .

How can CD36 recombinant monoclonal antibodies be used in multiplex imaging applications?

Multiplex imaging with CD36 antibodies allows simultaneous visualization of CD36 with other markers, providing context for its function in complex tissues and cellular systems:

Antibody Selection and Conjugation Strategies:
Direct conjugation options include labeling CD36 antibodies with fluorophores, enzymes, or metal isotopes depending on the imaging platform. Secondary detection systems using species-specific or isotype-specific secondary antibodies with minimal cross-reactivity provide flexibility. Signal amplification systems like tyramide signal amplification can enhance detection of low-abundance targets in multiplex contexts.

Panel Design Considerations:
Ensure antibodies in the panel recognize distinct, non-overlapping epitopes to avoid competitive binding issues. Combine antibodies from different host species (rabbit CD36 antibodies pair well with mouse antibodies for other targets) to simplify detection schemes. Select fluorophores with minimal spectral overlap and consider brightness relative to target abundance for balanced signal intensity across markers.

Research Applications for Multiplex Imaging:

Research FocusMultiplex Panel ComponentsTechnical Approach
Foam cell formationCD36 + macrophage markers (CD68) + lipid stainsImmunofluorescence with Nile Red for lipid visualization
Vascular inflammationCD36 + inflammatory markers + endothelial markersTyramide-based multiplex IHC for signal separation
Metabolic regulationCD36 + metabolic regulators (PPAR-γ, FABP4)Multispectral imaging with computational unmixing
Tissue microenvironmentCD36 + cell type markers + extracellular matrix componentsCyclic immunofluorescence for extended marker panels

Technical Optimization and Quality Control:
The order of antibody application significantly impacts results; typically apply rare target antibodies first to maximize detection. Consider signal-to-noise ratio for each marker when designing acquisition settings to achieve balanced visualization. Automated image analysis algorithms can help quantify co-localization and expression patterns across multiple markers.

Validation Requirements:
Single-stain controls are essential to confirm specificity and optimize exposure settings in the multiplex context. Include biological controls (tissues known to express or lack CD36) to verify detection sensitivity and specificity. Compare results with alternative methods (e.g., flow cytometry or sequential sections) to confirm multiplex findings.

These multiplex approaches enable researchers to study CD36 in its cellular and molecular context, revealing functional relationships not apparent with single-marker approaches and providing deeper insights into its role in complex biological processes .

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