MC4R Antibody, FITC conjugated

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Description

Definition and Molecular Basis

MC4R Antibody, FITC conjugated is a rabbit-derived polyclonal antibody covalently linked to fluorescein isothiocyanate (FITC), a green-emitting fluorophore (excitation/emission: 499/515 nm) . It targets the extracellular N-terminal domain (amino acids 1–43) of human MC4R, a receptor encoded by the MC4R gene (UniProt ID: P32245) . The antibody’s specificity is validated through immunogen affinity purification, with >95% purity confirmed via Protein A/G chromatography .

Applications in Biomedical Research

This antibody is widely utilized in:

  • Immunofluorescence (IF): Visualizes MC4R distribution in fixed cells or tissues at working dilutions of 1:50–1:200 .

  • Flow Cytometry: Detects MC4R surface expression on live or fixed cells (1–3 µg per 10⁶ cells) .

  • Immunohistochemistry (IHC): Identifies MC4R in paraffin-embedded sections (0.5–1 µg/ml) .

  • ELISA: Quantifies MC4R levels in biological samples .

ApplicationRecommended DilutionReactivity
Immunofluorescence1:50–200Human, Mouse, Rat
Flow Cytometry1–3 µg/10⁶ cellsHuman
Western Blot0.25–0.5 µg/mlHuman, Mouse, Rat

Validation and Quality Control

  • Specificity: Recognizes MC4R without cross-reactivity to other melanocortin receptors (MC1R, MC3R, MC5R) .

  • Functional Assays: Validated in cAMP accumulation assays, confirming MC4R activation in HEK293T cells .

  • Imaging Data: Demonstrated membrane-localized MC4R in A431 cells (Figure 3 in ) and human rectal cancer tissues (Figure 2 in ).

Comparative Advantages Over Non-Conjugated Antibodies

  • Enhanced Sensitivity: FITC conjugation amplifies signal detection in low-abundance MC4R samples .

  • Multiplexing Compatibility: Compatible with red-emitting dyes (e.g., Cy3, AF594) for co-staining .

  • Streamlined Workflow: Eliminates secondary antibody steps in fluorescence-based assays .

Research Case Studies

  • Obesity Research: Used to study MC4R trafficking defects in V103I gain-of-function mutants linked to reduced diabetes risk .

  • Cancer Studies: Detected MC4R overexpression in colorectal cancer tissues, suggesting metabolic dysregulation .

Handling and Optimization Tips

  • Antigen Retrieval: Use EDTA buffer (pH 8.0) for paraffin-embedded sections .

  • Blocking: 10% goat serum minimizes non-specific binding .

  • Avoid Photobleaching: Limit light exposure during storage and imaging .

Future Directions

MC4R Antibody, FITC conjugated, holds promise for:

  • Drug Development: High-throughput screening of MC4R-targeted obesity therapeutics .

  • Neurological Studies: Mapping MC4R expression in hypothalamic circuits regulating appetite .

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 order within 1-3 business days of receiving it. Delivery times may vary depending on the purchase method and location. For specific delivery details, please consult your local distributor.
Synonyms
MC4R; Melanocortin receptor 4; MC4-R
Target Names
Uniprot No.

Target Background

Function
The melanocortin-4 receptor (MC4R) is a receptor that specifically binds to the heptapeptide core common to adrenocorticotropic hormone (ACTH) and alpha-, beta-, and gamma-melanocyte-stimulating hormone (MSH). It plays a crucial role in regulating energy homeostasis and somatic growth. This receptor is coupled to G proteins that activate adenylate cyclase, leading to the production of cyclic adenosine monophosphate (cAMP).
Gene References Into Functions
  1. Our research indicated that MC4R rs17782313 and FTO rs9939609 were positively associated with zBMI, exhibiting weak and very weak effects, respectively. These findings suggest a minimal contribution to childhood obesity. PMID: 29679223
  2. Our findings demonstrate that the methylation status of MC4R in the blood of children is associated with metabolic profiles. These observations suggest that DNA methylation status might serve as a potential epigenetic biomarker for metabolic syndrome. PMID: 29598821
  3. This study suggests that the MC4R AA genotype is significantly associated with shorter progression-free and overall survival in glioblastoma patients treated with radiotherapy and temozolomide. PMID: 28150230
  4. This review focuses on the anatomical distribution of MC4R in the brain and the interplay between MC4R and other pathways involved in pain modulation. PMID: 28552734
  5. Results indicate that the MC4R rs17782313 allele C was associated with higher HDL cholesterol and also showed a marginal contribution to reduced risk of metabolic syndrome. These findings suggest that MC4R genetic variants may serve as a useful biomarker for cardiometabolic risk in obese patients. PMID: 28975585
  6. Genotyping for the near MC4R polymorphism, rs17782313, revealed an association with moderately obese patients. PMID: 29466028
  7. The polymorphism of the FTO gene rs17817449 and the GNB3 gene rs5443 (C825T) may be a genetic determinant of obesity in the Saudi population, while the impact of the MC4R Asn274Ser change could not be detected. PMID: 29937877
  8. Central melanocortin signaling has an effect on fat and sucrose preference in humans. PMID: 27701398
  9. Expression of MSH2 in patients with colon cancer may promote the expression of the obesity gene MC4R, potentially contributing to body weight gains. PMID: 28537674
  10. Gene polymorphisms of TNF-238G/A, TNF-308G/A, IL10-1082G/A, TNFAIP3, and MC4R, and comorbidity occurrence in a Romanian population with psoriasis. PMID: 29696068
  11. MC4R mutations are frequently found in morbidly obese Turkish children and adolescents. PMID: 28218067
  12. A significant association was observed between MC4R polymorphism and the risk of childhood obesity and BMI z-score (meta-analysis). PMID: 27926527
  13. The observed prevalence of mutations causing impaired receptor function in this large cohort is comparable to other pediatric cohorts. MC4R deficiency tends to lead to a taller stature, confirming previous clinical reports. The association of MC4R mutations with a distinct phenotype concerning metabolic characteristics remains questionable. PMID: 27654141
  14. The interaction between MC4R genes and dietary factors plays a significant role in the development of obesity or Type 2 diabetes phenotypes. [Review] PMID: 26666384
  15. This study demonstrates that melanocortin 4 receptor constitutive activity chronically inhibits specific subtypes of neuronal voltage-gated calcium channels. PMID: 28093215
  16. Rare functional MC4R mutation carriers exhibited a significantly higher prevalence of binge eating disorder or loss-of-control eating, independent of age, sex, and BMI. Six years after bariatric surgery, mutation carriers experienced more major complications than wild-type subjects, independent of age, baseline BMI, sex, operation type, and weight loss. PMID: 27222505
  17. FTO and near MC4R variants are associated with obesity measures in Sri Lankan populations... PMID: 26948330
  18. The gene polymorphism rs17782313 of the MC4R gene was associated with large artery atherosclerotic stroke susceptibility in smokers. Multifactor dimensionality reduction analysis revealed that the combination of MC4R variant (rs17782313), hypertension, and smoking habit was significantly associated with an increased risk of large artery atherosclerotic stroke in a Chinese Han population. PMID: 27701175
  19. In a large all-adult and area-based population survey, the effects of obesity-promoting minor-alleles of FTO and MCR4, and interactions with lifestyle factors are age- and gender-related. PMID: 28384342
  20. The C/X genotype of the MC4R gene appears to predispose postmenopausal women to developing certain metabolic syndrome symptoms. PMID: 28356726
  21. We conducted a candidate-gene association study in a young and athletic Italian population by testing the association of functional polymorphisms in ACE (rs4646994), FTO (rs9939609), MC4R (rs17782313), and PPARG (rs1801282) genes with body mass index (BMI) and waist-to-height ratio (WHtR). PMID: 28090739
  22. Family-based association analysis revealed a significant association between rs12970134 and obesity. Additionally, rs12970134 near MC4R was associated with appetite and beverage intake. PMID: 28520814
  23. The melanocortin 4 receptor melanocortin rs12970134 was found to be associated with body mass index only in children with physical activity less than 1 hour per day and sedentary behaviors greater than or equal to 2 hours per day. PMID: 28081251
  24. Genetic insights into the mechanism by which MC4R, FTO, and NMB influences changes in BMI and obesity. PMID: 27634552
  25. BDNF rs2030323 is associated with 100 to 150 greater total caloric intake per allele, with additional contributions from MC4R and, in non-Hispanic white individuals, FTO. PMID: 27551991
  26. The common variant rs17782313 near MC4R is associated with body mass index and measures of body fatness in children aged 2-9 years. PMID: 27583473
  27. An SNP in the FTO (rs9939609) gene, but not in the MC4R (rs17782313) gene, was significantly associated with prepregnancy body mass index (BMI) greater than or equal to 25 kg/m(2) (relative riskFTO = 2.1; 95% confidence interval [CI], 1.4-3.1). SNPs were not statistically associated with excessive gestational weight gain (GWG) or postpartum weight retention (PPWR). PMID: 27377581
  28. Genetic association studies in a population of children in Chile: Data suggest that a polymorphism in the 3prime untranslated region of MC4R (rs17782313) is associated with eating behavior leading to overweight/obesity in the pediatric population studied (children 8-14 years old). PMID: 27730429
  29. FTO rs9939609, MC4R rs17782313, and PPARgamma rs1801282 polymorphisms seem to have little effect on the incidence of metabolic malfunctions and no effect on androgen-related disorders in the examined middle-aged and elderly men. PMID: 27920511
  30. Epigenetic alterations of the newly identified genes MC4R and HNF4a in early life might contribute to metabolic profile changes, especially increased triglyceride levels, in the cord blood of preterm infants. PMID: 27583872
  31. The objective of this survey is to evaluate the association of genetic variants of melanocortin-4-receptor (MC4R), pro-opiomelanocortin (POMC), apolipoprotein E (APOE), and agouti-related protein (AGRP) with obesity in the North Indian population. PMID: 26226973
  32. Data provide evidence that variants of MC4R and LYPLAL1 modulate body fat distribution with sexual dimorphism in a Chinese population. PMID: 26848030
  33. The FTO rs9939609 and MC4R rs17782313 variants may be significantly associated with nocturnal but not daytime blood pressure levels, and their combined effects were significant in this Chinese Han population. PMID: 26324055
  34. The prevalence of loss-of-function MC4R variants in obese Slovak children was 0.7%, which is one of the lowest frequencies in Europe. PMID: 26047380
  35. Carrying the A risk allele of the FTOrs9939609 and/or the C risk allele of the MC4Rrs17782313 did not influence body mass and fat mass loss, or resting energy expenditure decrease in obese women after a 12-week energy-restricted diet intervention. PMID: 25929371
  36. MC4R mutations contribute to the onset of obesity. PMID: 26244670
  37. This molecular analysis of a family-based study showed an autosomal dominant pattern. Our study indicated that MC4R variations in early-onset obese Thai children were found, and transmission of these variations in each family is in the dominant pattern. PMID: 26782456
  38. The MC4R variant (rs12970134) was associated with an increased risk for obesity in Czech women. PMID: 26680479
  39. Uncontrolled eating scores were higher in C-allele carriers of MC4R-rs17782313 compared to non-carriers. PMID: 26588347
  40. Polymorphisms in the gene may be useful in identifying women at risk for osteoporosis. PMID: 25871004
  41. Data show that co-expression with MRAPalpha, but not MRAP2, enhances MC4R constitutive activity. MRAPalpha-enhanced MC4R constitutive activity is not dependent on MC4R complex glycosylation but may result from MRAPalpha-induced changes in MC4R conformational states. PMID: 26469516
  42. Drawing on recent advancements in neuroscience and genetic technologies, we consider the structure and function of the melanocortin-4 receptor circuitry and its role in energy homeostasis - {REVIEW}. PMID: 26814590
  43. MC4R (melanocortin-4 receptor) rs17782313 gene polymorphism is associated with higher triglyceride levels in older Chinese women. PMID: 26965781
  44. The variant rs17782313 OF mc4r is associated with an increased risk of hypertriglyceridemia in obese children and adolescents. PMID: 25948074
  45. Obese children carrying the FTO GG and/or the MC4R CC genotype lost more body weight compared to non-carriers from a lifestyle intervention. PMID: 26849546
  46. The interaction between FTO and MC4R polymorphisms is associated with the development of polycystic ovary syndrome (PCOS). PMID: 26032905
  47. The age of obesity onset in the present child generation of MC4R mutation carriers is decreasing compared to the age of onset in their parents' generation. PMID: 26238496
  48. FTO homozygotes and FTO heterozygotes correspond to 18.0% and 45.9% of neonates, respectively. MC4R homozygotes and MC4R heterozygotes were identified in 6.7% and 36.3% of neonates, respectively. PMID: 25503666
  49. There is a synergistic effect of the high-risk alleles of the FTO and MC4R genes on obesity. PMID: 25402378
  50. The study showed that functional variants in the MC4R gene are more commonly found in obese individuals than in non-obese individuals with binge-eating episodes. PMID: 25419636

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Database Links

HGNC: 6932

OMIM: 155541

KEGG: hsa:4160

STRING: 9606.ENSP00000299766

UniGene: Hs.532833

Involvement In Disease
Obesity (OBESITY)
Protein Families
G-protein coupled receptor 1 family
Subcellular Location
Cell membrane; Multi-pass membrane protein.
Tissue Specificity
Brain, placental, and gut tissues.

Q&A

What is MC4R and what is its biological significance?

The melanocortin 4 receptor (MC4R) is a member of the melanocortin receptor family, which comprises seven-transmembrane G protein-coupled proteins that activate adenylyl cyclase. MC4R is primarily expressed in the brain and plays crucial roles in energy homeostasis and weight regulation. The melanocortin family includes Alpha-, Beta- and Gamma-melanocyte stimulating hormones (MSH) and adrenocorticotrophin as ligands . MC4R is encoded by the MC4R gene in humans with a predicted protein length of 332 amino acids and a molecular mass of approximately 36.9 kDa . MC4R's subcellular localization is predominantly in the cell membrane, where it functions as a receptor for melanocortins . Understanding MC4R is essential for research in obesity, energy metabolism, and related neurological functions.

What are the benefits of using FITC-conjugated MC4R antibodies in research applications?

FITC (Fluorescein isothiocyanate)-conjugated MC4R antibodies offer several methodological advantages in research contexts:

  • Direct visualization without secondary antibodies, reducing background and cross-reactivity issues

  • Compatibility with immunofluorescence techniques including IHC-P (paraffin sections), IHC-F (frozen sections), and ICC (immunocytochemistry)

  • Enhanced sensitivity for detecting low-abundance MC4R expression

  • Streamlined experimental workflows with fewer incubation steps

  • Compatibility with multiplex immunofluorescence studies when combined with antibodies conjugated to spectrally distinct fluorophores

The direct conjugation eliminates potential species cross-reactivity problems that can occur with secondary antibodies, making these reagents particularly valuable when working with complex tissue samples or when performing co-localization studies.

What species reactivity can researchers expect from commercially available MC4R antibodies?

Commercial MC4R antibodies demonstrate varied species reactivity profiles. Most commonly available MC4R antibodies, including FITC-conjugated versions, show cross-reactivity with human, mouse, and rat MC4R proteins, making them versatile for comparative studies across these species . Some antibodies have expanded reactivity including primate species such as gibbon, chimpanzee, gorilla, and orangutan . The cross-reactivity stems from the relatively high conservation of MC4R sequence across mammals. When selecting an antibody for a specific research application, it is critical to verify the documented species reactivity and, if possible, validate the antibody in your specific experimental system before proceeding with extensive studies.

What are the validated applications for MC4R antibody, FITC conjugated?

MC4R antibody, FITC conjugated has been validated for several immunological techniques. According to available product information, the primary applications include:

  • Immunofluorescence on paraffin-embedded tissue sections (IF/IHC-P)

  • Immunofluorescence on frozen tissue sections (IF/IHC-F)

  • Immunocytochemistry (ICC)

Some MC4R antibodies are also validated for additional applications, including:

  • Enzyme-linked immunosorbent assay (ELISA)

  • Immunoprecipitation (IP)

  • Western blotting (WB)

The recommended dilution ranges for immunofluorescence applications typically fall within 1:50-1:200 . When adapting a FITC-conjugated MC4R antibody to a novel application, researchers should perform thorough validation studies with appropriate positive and negative controls.

How can researchers optimize immunofluorescence staining protocols using MC4R antibody, FITC conjugated?

Optimizing immunofluorescence protocols with MC4R antibody, FITC conjugated requires systematic approach to several variables:

  • Fixation optimization: Test different fixation methods (4% paraformaldehyde, acetone, or methanol) to determine which best preserves MC4R epitopes while maintaining tissue architecture.

  • Antigen retrieval methods: For paraffin sections, compare citrate buffer (pH 6.0), EDTA buffer (pH 9.0), and enzymatic retrieval to identify optimal epitope exposure conditions.

  • Blocking strategy: Use species-appropriate normal serum (5-10%) with 0.1-0.3% Triton X-100 for permeabilization. For tissues with high background, consider adding 1% BSA and 0.05% Tween-20.

  • Antibody titration: Test serial dilutions between 1:50-1:200 to determine optimal signal-to-noise ratio . Starting with manufacturer recommendations, create a dilution series and evaluate staining intensity versus background.

  • Incubation conditions: Compare overnight incubation at 4°C versus 1-2 hours at room temperature to optimize signal development.

  • Counterstaining considerations: When using FITC-conjugated antibodies (green fluorescence), select counterstains in red or blue spectrum (such as DAPI for nuclei) to avoid spectral overlap.

  • Mounting media selection: Use anti-fade mounting media specifically formulated to preserve FITC fluorescence, as FITC is susceptible to photobleaching.

Document all optimization steps methodically to establish a reproducible protocol for future experiments.

What control samples are essential when working with MC4R antibody, FITC conjugated?

Implementing a comprehensive set of controls is critical for interpreting experiments using MC4R antibody, FITC conjugated:

Positive controls:

  • Brain tissue sections (particularly hypothalamus) from the same species as your experimental samples, where MC4R is known to be expressed

  • Cell lines with validated MC4R expression

  • Recombinant cell systems overexpressing MC4R

Negative controls:

  • Peptide competition/absorption controls using the immunizing peptide to confirm binding specificity

  • MC4R knockout or knockdown tissues/cells where available

  • Primary antibody omission controls to assess background autofluorescence

  • Isotype controls using non-specific IgG of the same species and concentration as the primary antibody

Procedural controls:

  • Tissue sections known to lack MC4R expression

  • Sequential dilution series to demonstrate staining concentration-dependence

  • Multi-channel fluorescence controls to rule out bleed-through from other fluorophores in multiplex experiments

Systematic use of these controls allows for confident interpretation of MC4R localization and expression patterns in experimental samples.

How do researchers validate the specificity of MC4R antibody, FITC conjugated?

Validating MC4R antibody specificity requires multiple complementary approaches:

  • Western blot verification: Though FITC-conjugated antibodies are typically optimized for fluorescence applications, parallel validation with the unconjugated version of the same antibody clone using Western blot can verify that the antibody recognizes a protein of the expected molecular weight (approximately 36.9 kDa for MC4R) .

  • Peptide competition assays: Pre-incubating the antibody with the immunizing peptide should abolish or significantly reduce specific staining in both immunoblotting and immunofluorescence applications.

  • Correlation with mRNA expression: Use in situ hybridization or RT-PCR to confirm that MC4R protein detection correlates with mRNA expression patterns in tissues.

  • Genetic models: Test the antibody in MC4R knockout or knockdown models, which should show reduced or absent staining compared to wild-type samples.

  • Cross-validation with multiple antibodies: Compare staining patterns using independent antibodies that recognize different epitopes of MC4R.

  • Subcellular localization assessment: Confirm that the staining pattern is consistent with the expected cell membrane localization of MC4R .

  • Cross-species reactivity testing: Verify reactivity across specified species (human, mouse, rat) to confirm antibody performance matches manufacturer claims .

Thorough validation enhances confidence in experimental results and helps prevent misinterpretation of staining artifacts.

What sample preparation methods are optimal for MC4R detection using fluorescence microscopy?

Optimal sample preparation for MC4R detection varies by sample type, but these methodological guidelines apply across systems:

For tissue sections (paraffin-embedded):

  • Fix tissues in 10% neutral buffered formalin for 24-48 hours

  • Process and embed in paraffin following standard histological procedures

  • Section at 4-6 μm thickness

  • Perform heat-induced epitope retrieval (HIER) using citrate buffer (pH 6.0) or EDTA buffer (pH 9.0)

  • Permeabilize with 0.1-0.3% Triton X-100 to facilitate antibody access to membrane proteins

For frozen tissue sections:

  • Flash-freeze tissue in OCT compound using liquid nitrogen-cooled isopentane

  • Cryosection at 8-12 μm thickness

  • Fix briefly in cold acetone or 4% paraformaldehyde

  • Gentle permeabilization may be necessary with 0.1% Triton X-100

For cultured cells:

  • Grow cells on glass coverslips or chamber slides

  • Fix with 4% paraformaldehyde for 15-20 minutes at room temperature

  • Permeabilize with 0.1% Triton X-100 for 5-10 minutes

  • Block with 5% normal serum from the same species as the secondary antibody

For all sample types, maintain consistent preparation methods across experimental groups to ensure comparable staining intensity. The MC4R antibody, FITC conjugated, can then be applied following manufacturer's recommended dilutions (typically 1:50-1:200) in blocking buffer.

How should researchers determine the appropriate dilution for MC4R antibody, FITC conjugated?

Determining the optimal antibody dilution requires systematic titration to balance specific signal with background:

  • Initial range assessment: Start with the manufacturer's recommended dilution range (typically 1:50-1:200 for immunofluorescence applications) .

  • Dilution series preparation: Prepare a minimum of 4-5 dilutions spanning and extending beyond the recommended range (e.g., 1:25, 1:50, 1:100, 1:200, 1:400).

  • Control inclusion: For each dilution, include both positive control tissue (known to express MC4R) and negative control tissue (lacking MC4R expression).

  • Systematic evaluation:

    • Score signal intensity on a scale (0-4+)

    • Assess background fluorescence levels

    • Calculate signal-to-noise ratio for each dilution

    • Document with standardized image acquisition settings

  • Verification across sample types: If working with multiple tissue types or preparation methods, verify that the optimal dilution works consistently across all experimental materials.

  • Batch testing: For longitudinal studies, test antibody performance across different lots if possible, as conjugation efficiency may vary between manufacturing batches.

The optimal dilution provides robust specific staining with minimal background. For quantitative studies, select a dilution in the linear range of the signal-intensity curve to ensure that signal intensity correlates with actual protein abundance.

Can MC4R antibody, FITC conjugated be used effectively in multiplex immunofluorescence staining?

Yes, MC4R antibody, FITC conjugated can be incorporated into multiplex immunofluorescence protocols with careful experimental design:

Key considerations for successful multiplexing:

  • Spectral compatibility: FITC emits green fluorescence (peak ~520 nm), so companion fluorophores should have minimal spectral overlap. Compatible options include:

    • TRITC or Cy3 (red)

    • Cy5 or Alexa Fluor 647 (far red)

    • DAPI or Hoechst (blue)

  • Antibody host species combinations: When combining with other primary antibodies, select those raised in different host species to prevent cross-reactivity. Since MC4R antibody, FITC conjugated is typically rabbit-hosted , consider companion antibodies from mouse, goat, or chicken hosts.

  • Sequential staining approach: For challenging combinations, apply antibodies sequentially with an intermediate blocking step using excess unconjugated Fab fragments against the first primary antibody species.

  • Validation of multiplex combinations: Always validate multiplex staining against single-stain controls to ensure that:

    • Staining patterns remain consistent in multiplex versus single-stain conditions

    • No unexpected cross-reactivity occurs

    • Signal intensity is not diminished by the presence of other antibodies

  • Order of application: In some cases, the sequence of antibody application matters. Test different staining sequences if initial results are suboptimal.

Multiplex staining with MC4R antibody, FITC conjugated enables co-localization studies with other proteins of interest, providing valuable insights into functional relationships in complex tissue environments.

How should researchers interpret MC4R staining patterns in different cellular compartments?

Interpretation of MC4R staining patterns requires careful consideration of expected localization and potential artifacts:

Expected MC4R localization patterns:

  • Cell membrane predominance: As a G protein-coupled receptor, MC4R primarily localizes to the plasma membrane . Strong membrane staining that outlines cell boundaries represents the canonical pattern.

  • Perinuclear/Golgi staining: Some staining in perinuclear regions may represent newly synthesized receptor in the secretory pathway. This pattern may be more prominent in cells with high expression levels.

  • Endosomal vesicles: Punctate cytoplasmic staining may indicate receptors undergoing internalization following agonist binding or as part of normal receptor turnover.

Interpretation guidelines:

  • Cell-type specific patterns: In brain tissue, MC4R expression is expected primarily in specific neuronal populations. Pattern interpretation should consider the known cell-type distribution of MC4R.

  • Correlating with physiological state: MC4R trafficking and surface expression can be regulated by physiological stimuli. Consider how experimental conditions might affect receptor localization.

  • Distinguishing artifacts from biology:

    • Uniform cytoplasmic staining often represents non-specific binding

    • Nuclear staining is generally unexpected for MC4R and may indicate antibody cross-reactivity

    • Edge artifacts in tissue sections should not be confused with membrane localization

  • Quantitative considerations: For quantitative analysis, distinguish between changes in expression level versus alterations in subcellular distribution.

Compare staining patterns with published literature on MC4R localization and always interpret results in conjunction with appropriate controls to accurately distinguish biological significance from technical artifacts.

What quantitative methods are recommended for analyzing MC4R expression using immunofluorescence data?

Quantitative analysis of MC4R immunofluorescence requires rigorous methodological approaches:

Image acquisition considerations:

  • Use consistent microscope settings (exposure time, gain, offset) across all experimental groups

  • Capture images below saturation to ensure signal linearity

  • Include fluorescence calibration standards if absolute intensity measurements are needed

Quantification methodologies:

  • Intensity-based measurements:

    • Mean fluorescence intensity (MFI) within regions of interest (ROIs)

    • Integrated density (area × mean intensity)

    • Background-subtracted intensity using adjacent negative regions

  • Distribution analysis:

    • Membrane-to-cytoplasm intensity ratio to assess receptor internalization

    • Line profile analysis across cellular compartments

    • Pearson's or Mander's coefficients for co-localization with other markers

  • Population analysis:

    • Percentage of MC4R-positive cells in heterogeneous populations

    • Classification of expression patterns (e.g., membrane-predominant, internalized)

    • Histogram analysis of expression levels across cell populations

Software tools:
Multiple image analysis platforms can be used, including:

  • ImageJ/FIJI with appropriate plugins

  • CellProfiler for automated high-throughput analysis

  • Commercial microscopy software packages

Statistical approaches:

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

  • Analyze sufficient cell numbers for statistical power (typically >100 cells per condition)

  • Apply appropriate statistical tests based on data distribution

  • Consider multilevel analysis for nested experimental designs

Rigorous quantification enhances the reproducibility and interpretability of MC4R expression studies using FITC-conjugated antibodies.

How can researchers troubleshoot non-specific binding with MC4R antibody, FITC conjugated?

Non-specific binding is a common challenge with immunofluorescence. Systematic troubleshooting includes:

Common sources of non-specific binding:

  • Insufficient blocking: Increase blocking duration (1-2 hours) and consider different blocking agents:

    • 5-10% normal serum from the same species as the secondary antibody

    • 1-3% BSA supplementation

    • Commercial blocking solutions with proprietary formulations

  • Over-fixation: Excessive fixation can create artificial epitopes. Optimize fixation duration and consider gentler fixatives for sensitive epitopes.

  • Autofluorescence sources:

    • Lipofuscin in aged tissues (can be reduced with Sudan Black B treatment)

    • Formaldehyde-induced autofluorescence (quench with sodium borohydride)

    • Endogenous fluorescent proteins or metabolites

  • Antibody concentration: Excessive antibody concentration increases non-specific binding. Repeat titration experiments focusing on more dilute preparations.

Methodological solutions:

  • Protocol modifications:

    • Add 0.05-0.1% Tween-20 to washing and antibody dilution buffers

    • Increase washing duration and number of washes

    • Consider low-detergent antibody diluents for reduced background

  • Sample-specific treatments:

    • For high-lipid tissues, delipidation steps may reduce background

    • For tissues with high endogenous biotin, use avidin/biotin blocking kits

    • For tissues with high endogenous peroxidase, add quenching steps

  • Alternative detection strategies:

    • If persistent issues occur with direct FITC conjugates, consider using unconjugated primary antibody with optimized secondary detection systems

  • Validation experiments:

    • Compare staining pattern to alternative MC4R antibodies or detection methods

    • Correlate protein detection with mRNA expression data

    • Implement genetic controls (knockdown/knockout) where available

Systematic troubleshooting with appropriate controls allows researchers to distinguish specific MC4R staining from technical artifacts.

How can MC4R antibody, FITC conjugated be utilized in flow cytometry applications?

While primarily validated for microscopy applications, MC4R antibody, FITC conjugated can be adapted for flow cytometry with these methodological considerations:

Protocol adaptation for flow cytometry:

  • Cell preparation:

    • Dissociate tissues to single-cell suspensions using enzymatic methods that preserve surface epitopes

    • For cultured cells, use gentle cell dissociation reagents rather than harsh trypsinization

    • Maintain samples at 4°C during processing to prevent receptor internalization

  • Fixation and permeabilization:

    • For total MC4R analysis: Fix with 2-4% paraformaldehyde and permeabilize with 0.1% saponin

    • For surface-only MC4R analysis: Stain live cells or use very gentle fixation without permeabilization

  • Antibody labeling:

    • Titrate antibody specifically for flow cytometry applications (optimal concentrations may differ from microscopy)

    • Typical starting dilutions range from 1:50-1:200 based on immunofluorescence recommendations

    • Include FcR blocking reagent to prevent non-specific binding to Fc receptors

  • Crucial controls:

    • Fluorescence-minus-one (FMO) controls

    • Isotype controls matched to antibody concentration

    • Positive controls (cells known to express MC4R)

    • Negative controls (cells lacking MC4R expression)

  • Data acquisition considerations:

    • Use 488 nm laser excitation for FITC

    • Set compensation if multiplexing with other fluorophores

    • Collect sufficient events (minimum 10,000) for statistical analysis

  • Analysis approaches:

    • Quantify percentage of MC4R-positive cells

    • Measure mean/median fluorescence intensity to assess expression levels

    • Consider ratio of surface to total MC4R for trafficking studies

This application extends the utility of MC4R antibody, FITC conjugated beyond traditional microscopy, enabling quantitative analysis of MC4R expression at the single-cell level.

What are the current challenges in MC4R detection and quantification in research contexts?

Researchers face several challenges when studying MC4R using immunological methods:

Technical challenges:

  • Antibody specificity issues: G protein-coupled receptors like MC4R share structural similarities, creating potential for cross-reactivity with related receptors like MC3R, MC5R.

  • Low expression levels: In many tissues, MC4R expression is relatively low, requiring highly sensitive detection methods and careful signal amplification.

  • Conformational epitopes: MC4R has multiple transmembrane domains, and antibodies may recognize conformation-dependent epitopes that are sensitive to sample preparation methods.

  • Post-translational modifications: Various states of glycosylation or phosphorylation may affect antibody recognition, complicating interpretation of expression data.

Experimental design challenges:

  • Distinguishing receptor variants: MC4R has reported variants and mutations associated with obesity and other conditions, but most antibodies cannot distinguish these variants.

  • Receptor trafficking dynamics: MC4R undergoes regulated trafficking between surface and intracellular compartments, complicating interpretation of expression patterns.

  • Tissue heterogeneity: In complex tissues like brain, MC4R expression is restricted to specific cell populations, requiring cell-type markers for proper characterization.

Emerging solutions:

  • Development of epitope-tagged MC4R constructs for exogenous expression systems

  • Implementation of proximity ligation assays to detect MC4R interactions with higher specificity

  • Integration of multiple detection methodologies to cross-validate findings

  • Application of super-resolution microscopy techniques to better resolve membrane localization

Acknowledging these challenges allows researchers to implement appropriate controls and interpretative caution in MC4R studies.

How does MC4R antibody performance compare across different experimental systems?

MC4R antibody performance varies across experimental systems, necessitating system-specific validation:

Comparative performance table:

Experimental SystemExpected PerformanceSpecial ConsiderationsRecommended Controls
Paraffin-embedded brain tissueGood membrane staining in specific neuronal populationsRequires heat-induced epitope retrieval; potential autofluorescenceBrain sections from MC4R knockout animals
Frozen tissue sectionsExcellent membrane resolution with reduced need for antigen retrievalMore susceptible to freezing artifactsAdjacent sections with peptide competition
Cultured primary neuronsVariable expression levels based on neuronal subtypeMay require longer culture periods to achieve detectable expressionNeurons from MC4R knockout animals
Heterologous expression systemsHigh signal intensity in transfected cellsExpression levels may exceed physiological rangeNon-transfected cells; empty vector controls
Flow cytometry of dissociated tissuesModerate sensitivity due to epitope accessibility issuesCareful dissociation required to preserve membrane proteinsFMO controls; isotype controls

Performance variation factors:

  • Epitope accessibility: Sample preparation methods significantly impact epitope exposure, with fresh frozen samples typically providing better epitope preservation than fixed samples.

  • Expression level differences: Endogenous MC4R expression is often lower than in overexpression systems, requiring more sensitive detection methods for natural tissues.

  • Species-specific considerations: Though MC4R antibodies often cross-react with human, mouse, and rat proteins , subtle performance differences may exist across species.

  • Background tissue properties: Tissues with high lipid content (like brain) may show different background characteristics than cell lines, necessitating protocol adjustments.

Researchers should validate MC4R antibody, FITC conjugated in their specific experimental system before conducting comprehensive studies, even if the antibody has been validated in other contexts.

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