AGER Antibody

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Description

Table 1: Performance Metrics of AGER Antibody 66833-1-Ig

ParameterDetail
Tested ApplicationsWB (pig/rat lung), IHC (human lung), IF (mouse/rat lung)
Recommended DilutionWB: 1:1000–1:6000; IHC: 1:150–1:600; IF: 1:400–1:1600
Observed MW45 kDa (vs. calculated 43 kDa)
Gene ID177 (NCBI)

Autoimmune Disease Studies

  • In pristane-induced lupus and collagen-induced arthritis (CIA) models, RAGE deficiency reduced autoantibody levels but did not significantly alter disease severity, suggesting a nuanced role in adaptive immunity .

  • Antibody-mediated blockade of RAGE in keratinocytes reduced proliferation by 70% (p<0.0001p < 0.0001) upon S100A8/A9 stimulation, highlighting its role in inflammation-driven cell growth .

Cellular Interaction Studies

  • Cell adhesion: RAGE overexpression enhanced adhesion to collagen I (p<0.01p < 0.01) and fibronectin (p<0.05p < 0.05) in rat lung cells .

  • Aggregation assays: FL-RAGE-expressing cells formed larger aggregates (p<0.0001p < 0.0001) compared to controls, indicating homophilic receptor interactions .

Limitations and Considerations

  • Species Cross-Reactivity: While 66833-1-Ig reacts with pig tissues, cited studies primarily focus on human, mouse, and rat models .

  • Non-Specific Bands: Some antibodies detect nonspecific bands in rat lysates, necessitating careful validation .

Product Specs

Buffer
Liquid in PBS containing 50% glycerol, 0.5% BSA and 0.02% sodium azide.
Form
Liquid
Lead Time
Typically, we can ship your order within 1-3 business days of receipt. Delivery time may vary depending on the order type and location. Please contact your local distributor for specific delivery time information.
Synonyms
Advanced glycosylation end product-specific receptor antibody; Ager antibody; DAMA 358M23.4 antibody; MGC2235 antibody; MGC22357 antibody; RAGE_HUMAN antibody; Receptor for advanced glycation end products antibody; Receptor for advanced glycosylation end products antibody
Target Names
Uniprot No.

Target Background

Function
The receptor for advanced glycation end products (RAGE) mediates interactions with advanced glycation end products (AGEs). AGEs are non-enzymatically glycosylated proteins that accumulate in vascular tissue during aging and at an accelerated rate in diabetes. RAGE acts as a mediator of both acute and chronic vascular inflammation in conditions such as atherosclerosis, particularly as a complication of diabetes. AGE/RAGE signaling plays a significant role in regulating the production/expression of TNF-alpha, oxidative stress, and endothelial dysfunction in type 2 diabetes. Interaction with S100A12 on endothelium, mononuclear phagocytes, and lymphocytes triggers cellular activation, leading to the generation of key proinflammatory mediators. Interaction with S100B after myocardial infarction may contribute to myocyte apoptosis by activating ERK1/2 and p53/TP53 signaling. RAGE is a receptor for amyloid beta peptide and contributes to the translocation of amyloid-beta peptide (ABPP) across the cell membrane from the extracellular to the intracellular space in cortical neurons. ABPP-initiated RAGE signaling, especially stimulation of p38 mitogen-activated protein kinase (MAPK), can drive a transport system delivering ABPP as a complex with RAGE to the intraneuronal space. RAGE can also bind oligonucleotides.
Gene References Into Functions
  1. A candidate association study identified 2 polymorphisms (T-429C and G1704T) in RAGE, which were not only associated with increased myocardial infarction risk but also interacted with metabolic risk factors to increase that risk. PMID: 28956473
  2. High RAGE expression is associated with Breast Carcinoma. PMID: 30139236
  3. AGEs increase IL-6 and ICAM-1 expression via the RAGE, MAPK and NF-kappaB pathways in human gingival fibroblasts and may exacerbate the progression of the pathogenesis of periodontal diseases. PMID: 29193068
  4. Low serum sRAGE level is associated with Sarcopenia. PMID: 29271076
  5. Results show that RAGE is activated by high mobility group box 1 (HMGB1) to induce epithelial-mesenchymal transition (EMT) in prostate cancer cells. PMID: 29845254
  6. Endogenous secretory receptor for advanced glycation end products protects endothelial cells from advanced glycosylation end-product associated apoptosis. PMID: 29850572
  7. The high mobility group box 1-receptor for advanced glycation end-products (HMGB1-RAGE) signaling pathway may be involved in the pathogenesis of preterm premature rupture of the membranes (pPROM). PMID: 29673663
  8. Results show that RAGE is upregulated in breast cancer tissues, and confirmed that RAGE was a direct target of miR-328. PMID: 29620238
  9. The results suggest that S100A12 does not participate in the induction of inflammation in dental pulp. However, RAGE can participate in the inflammation in the pulp of males. PMID: 28834384
  10. The results show for the first time that RAGE is present in neuronally-derived plasma exosomes, and suggest that exosomal RAGE may be a novel biomarker that reflects pathophysiological processes in the brain. PMID: 29702093
  11. Decreased soluble RAGE in neutrophilic asthma is correlated with disease severity and RAGE G82S variants. PMID: 29257350
  12. Our study provides novel evidence for a potential role of AGER in bridging human papillomavirus (HPV)-induced inflammation and cervical cancer. PMID: 29298878
  13. Plasmatic RAGE level is significantly lower in patients with prosthetic-joint-associated infections. PMID: 29386700
  14. Inhibition of glyoxalase 1 (GLO1) in Glioblastoma Multiforme Increases DNA-AGEs, Stimulates RAGE Expression, and Inhibits Brain Tumor Growth in Orthotopic Mouse Models PMID: 29385725
  15. A significant association between RAGE gene rs1800624 and rs1800625 polymorphisms and Age-related macular degeneration risk, is reported. PMID: 29317590
  16. HMGB1 mediates fibroblast activity via RAGE-MAPK and NF-kappaB signaling in keloid scar formation. PMID: 29283384
  17. Data revealed that human embryonic stem cells accumulate CML and RAGE under oxidative stress conditions in different ways than somatic cells, being the accumulation of CML statistically significant only in somatic cells and, conversely, the RAGE increase exclusively appreciated in human embryonic stem cells. PMID: 29104727
  18. In women with Polycystic ovary syndrome(PCOS), the low ovarian levels of the anti-inflammatory sRAGE suggest that sRAGE could represent a biomarker and a potential therapeutic target for ovarian dysfunction in PCOS. Whether there is a direct causal relationship between sRAGE and vitamin D in the ovaries remains to be determined PMID: 28825156
  19. Current research highlighted the Glo-I/AGE/RAGE system as an interesting therapeutic target in chronic liver diseases. These findings need further elucidation in preclinical and clinical studies. PMID: 29156655
  20. Low esRAGE expression is associated with bone Fractures. PMID: 29040721
  21. Elevated sRAGE serum level is associated with further adverse events in patients with cardiovascular disease. PMID: 28864204
  22. Our findings suggested that polymorphisms in the RAGE gene are involved in genetic susceptibility to Alzheimer disease but did not modify the risk of Lewy body disease. PMID: 27699858
  23. Findings suggest soluble Receptor for Advanced Glycation End products (sRAGE) protein from sRAGE-mesenchymal stem cells (MSC) has better protection against neuronal cell death than sRAGE protein or single MSC treatment by inhibiting the RAGE cell death cascade and RAGE-induce inflammation. PMID: 28760504
  24. Protection against diabetic nephropathy in RAGE knockout mice is likely to be due in part to the decreased responsiveness to TGF beta stimulation and an antiapoptotic phenotype in mesangial cells. PMID: 29449307
  25. The A allele of RAGE -374T/A polymorphism probably increases diabetic retinopathy risk (Meta-Analysis) PMID: 29451661
  26. Advanced glycation end products decrease collagen I levels in fibroblasts from the vaginal wall of patients with pelvic organ prolapse via the RAGE, MAPK and NF-kappaB pathways. PMID: 28849117
  27. We identified two risk-associated polymorphisms (rs1045411 and rs2070600), and more importantly a joint impact of seven polymorphisms from the HMGB1/RAGE axis in susceptibility to hepatocellular carcinoma PMID: 28187002
  28. Type 2 diabetes showed a higher cellular sensitivity for activation of receptor of advanced glycation end products. PMID: 27873077
  29. The G82S variant of the RAGE gene was significantly associated with an increased risk of all-cause mortality and acute myocardial infarction in the Chinese Han population. PMID: 28660308
  30. Both RAGE and mitochondrial damage primed NLRP3 and pro-IL-1beta activation as upstream signals of NF-kappaB activity, whereas mitochondrial damage was critical for the assembly of inflammasome components. These results revealed that accumulation of AGEs in nucleus pulposus tissue may initiate inflammation-related degeneration of the intervertebral disc via activation of the NLRP3 inflammasome. PMID: 28224704
  31. The main mechanism of Integrin alphaXbeta2 I-domain binding to RAGE is a charge interaction, in which the acidic moieties of Integrin alphaXbeta2 I-domains, including E244, and D249, recognize the basic residues on the RAGE V-domain encompassing K39, K43, K44, R104, and K107. PMID: 28535664
  32. An overexpression of the receptor for RAGE was found in lesioned samples of patients with acquired reactive perforating collagenosis. PMID: 28474638
  33. Single-nucleotide polymorphism in RAGE gene and high circulating soluble RAGE level is associated with diabetic kidney disease. PMID: 27448675
  34. Significant association of the RAGE system with Hashimoto's thyroiditis was found only with regard to the prevalence of the -429T>C, but not with -374T>A polymorphism. PMID: 28226412
  35. Study revealed an early and constant increase of sRAGE level in the cerebrospinal fluid of aneurysmal subarachnoid haemorrhage patients. PMID: 28630869
  36. These data indicate that sRAGE may be involved in the initiation of beta-cell autoimmunity but not in the progression from beta-cell autoimmunity to clinical disease. PMID: 27883367
  37. IL-23, alone and in combination with IL-18 and sRAGE, identified bacterial meningitis with excellent accuracy. Following validation, these markers could aid clinicians in diagnosis of bacterial meningitis and decision-making regarding prolongation of antibiotic therapy PMID: 29394248
  38. Meta-analysis aimed at investigating whether the RAGE rs2070600 polymorphism is associated with cancer risk PMID: 29421442
  39. Found that S100B plays a crucial role in blocking the interaction site between RAGE V domain and S100A1. A cell proliferation assay WST-1 also supported our results. This report could potentially be useful for new protein development for cancer treatment PMID: 29444082
  40. Lower plasma sRAGE levels may be a biological measure of disease severity in idiopathic pulmonary fibrosis (IPF). Variation at the rs2070600 single-nucleotide polymorphism was not associated with IPF risk. PMID: 28248552
  41. Results suggest a possible association between a functional polymorphism in AGER and IPF disease susceptibility, and indicate a potential prognostic value of circulatory sRAGE. PMID: 28198072
  42. Thus, hypoxia not only increases RAGE expression in THP-1 cells by promoting nuclear translocation of NF-kappa B and HIF1alpha, but also regulates chemotaxis and pro-inflammatory cytokines release, which may be partially mediated through upregulation of RAGE expression. PMID: 29258824
  43. This study demonstrated that RAGE mRNA levels were significantly decreased in the new cases of untreated multiple sclerosis (MS) patients in comparison to healthy controls. IFN-beta 1a therapy results in upregulation of RAGE in MS patients. PMID: 28433998
  44. High RAGE expression is associated with lung cancer. PMID: 26930711
  45. Findings collectively demonstrate that fasting blood sRAGE and esRAGE may be causally implicated in isolated systolic hypertension in primary hypertensive patients PMID: 28974473
  46. Our data suggest that the inhibition of sRAGE on ischemia/reperfusion (I/R)-induced apoptosis is associated with activation and expression of the proteasome, including improved proteasome activity and elevated beta1i and beta5i expression mediated by STAT3 activation. We predict that sRAGE is a novel intervention to target ubiquitin proteasome system (UPS) activation for preventing and treating myocardial apoptosis. PMID: 26878774
  47. Receptor for AGE expression and reactive oxygen species production were upregulated in db/db mouse livers, together with impaired proteolytic, antioxidant and mitochondrial respiratory activities. In parallel, acute exposure of HepG2 cells to glycated albumin also elicited intracellular free radical formation PMID: 27890722
  48. Our data suggest that hydrogen sulfide (H2S) reduces RAGE dimer formation and impairs its membrane stability. The lowered plasma membrane abundance of RAGE therefore helps to protect cells against various RAGE mediated pathological effects. PMID: 28108276
  49. Methylglyoxal-derived hydroimidazolone 1 evokes inflammatory reactions in human umbilical vein endothelial cells via receptor for advanced glycation end products. PMID: 28631505
  50. Reduced values of sRAGE isoforms observed with both obesity and impaired glucose tolerance are independently associated with greater proportional odds of developing type 2 diabetes PMID: 28811295

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Database Links

HGNC: 320

OMIM: 600214

KEGG: hsa:177

STRING: 9606.ENSP00000364217

UniGene: Hs.534342

Subcellular Location
[Isoform 1]: Cell membrane; Single-pass type I membrane protein.; [Isoform 2]: Secreted.; [Isoform 10]: Cell membrane; Single-pass type I membrane protein.
Tissue Specificity
Endothelial cells.

Q&A

What is AGER and why is it important in research applications?

AGER, also known as RAGE (Receptor for Advanced Glycation End products), is a multi-ligand member of the immunoglobulin superfamily of cell surface molecules. It functions as a pattern recognition receptor with a broad ligand repertoire including advanced glycation end products, S100 proteins, high-mobility group box 1 protein (HMGB1), amyloid beta oligomers, nucleic acids, phospholipids, and glycosaminoglycans . AGER is critically important in research because it transduces ligand binding into pro-inflammatory responses and plays central roles in diabetes, vascular complications, neurodegenerative disorders, and cancer progression . It is associated with sustained NF-kappaB activation in diabetic microenvironments and has a central role in sensory neuronal dysfunction .

What are the key domains of AGER that antibodies typically target?

Based on the search results, AGER antibodies typically target three distinct regions:

  • N-terminal domain (extracellular): Antibodies targeting amino acids 24-52 of the human AGER sequence

  • Middle region: Antibodies recognizing sequences in the middle portion of AGER

  • C-terminal domain (intracellular): Antibodies recognizing amino acids 348-378

Each domain-specific antibody provides unique insights into different aspects of AGER biology, with N-terminal antibodies being useful for studying ligand interactions and C-terminal antibodies for intracellular signaling pathways.

How can I determine the most appropriate AGER antibody for my experimental model?

When selecting an AGER antibody, researchers should consider:

  • Species reactivity: Verify compatibility with your experimental model (human, mouse, rat)

    • Some antibodies show cross-reactivity across multiple species

    • Others may have species-specific recognition patterns

  • Application compatibility: Confirm validation for your specific application

    • Western blot: Most AGER antibodies work at dilutions of 1:1000

    • IHC-P: Optimal dilutions typically range from 1:10-1:50

    • ELISA and flow cytometry: Select antibodies specifically validated for these applications

  • Target epitope: Consider which domain of AGER is most relevant to your research question

    • For ligand binding studies, N-terminal antibodies may be preferred

    • For signaling studies, C-terminal antibodies may be more appropriate

What are the optimal conditions for Western blot analysis using AGER antibodies?

Based on the provided search results, researchers should consider the following protocol elements:

ParameterRecommended ConditionsNotes
Protein loading40 μg of cell/tissue lysateConsistent across multiple studies
Expected molecular weight42-43 kDaCalculated MW: 42803 Da
Primary antibody dilution1:1000May vary by specific antibody
Loading controlGAPDHCommonly used across studies
Positive controlsRat lung lysate, RAGE-overexpressing cellsUseful for validation

When interpreting results, researchers should be aware that some antibodies may detect nonspecific bands (indicated with asterisks in some publications) . Using antibodies targeting different AGER domains can help confirm specificity of detection.

How can I optimize immunohistochemistry protocols for AGER detection in tissue samples?

For successful immunohistochemical detection of AGER:

  • Sample preparation options:

    • Formalin-fixed paraffin-embedded (FFPE) tissues have been successfully used with appropriate antigen retrieval

    • Fresh-frozen sections may preserve epitopes that are sensitive to fixation

  • Protocol considerations:

    • Antibody dilutions typically range from 1:10 to 1:50 for IHC-P applications

    • DAB (3,3'-diaminobenzidine) staining has been demonstrated to work effectively

    • For comparative studies, consistent protocols should be maintained across all samples

  • Interpretation guidance:

    • AGER expression patterns differ between normal and pathological tissues (e.g., normal skin versus SCC)

    • Expression levels can be compared between different patient groups (e.g., immunocompetent patients versus organ transplant recipients)

    • Both in situ and invasive lesions should be examined for comprehensive analysis

What functional assays can be performed using AGER antibodies?

AGER antibodies can be employed in various functional assays beyond simple detection:

  • RAGE blocking experiments:

    • Pre-incubation with blocking anti-RAGE antibody (80μg/ml) can reduce cellular proliferation induced by S100A8/A9 stimulation

    • This approach allows for investigation of RAGE-dependent cellular responses

  • Cell-matrix adhesion assays:

    • AGER antibodies can confirm expression levels in adhesion studies

    • RAGE has been shown to enhance adhesion to various ECM proteins including collagen I, fibronectin, and laminin

    • Time-dependent effects (15 minutes versus 45 minutes) can be quantitatively assessed

  • Cell aggregation assays:

    • RAGE facilitates cell aggregation through homophilic interactions

    • These can be visualized and quantified using phase contrast microscopy

    • Mixed cell aggregation assays with labeled cells can further confirm specificity

How can I validate the specificity of AGER antibody signals in my experimental system?

Comprehensive validation strategies include:

  • Multiple antibody approach:

    • Use antibodies recognizing different domains of RAGE (N-terminal, middle, and C-terminal)

    • Compare detection patterns across these antibodies, as demonstrated in rat lung lysate and R3/1 cells

  • Genetic controls:

    • Comparison with RAGE-overexpressing cells versus control cells (e.g., preB/FL-RAGE versus preB/pCAGS)

    • RAGE knockdown samples using shRNA technology versus control shRNA

    • These genetic approaches provide critical positive and negative controls

  • Peptide competition:

    • Pre-incubation of antibody with immunizing peptide should abolish specific signals

    • Particularly useful for polyclonal antibodies like those described in the search results

  • Cross-species validation:

    • If an antibody claims reactivity across species, testing in multiple species can confirm specificity

    • Note that some antibodies target sequences that differ between human and rodent RAGE by two amino acids

What are the critical considerations when comparing AGER expression across different disease models?

Researchers should consider:

  • Standardization requirements:

    • Consistent protein loading (40 μg per lane for Western blots)

    • Identical antibody concentrations and incubation conditions across all samples

    • Same detection methods and exposure times for comparative analysis

  • Context-specific expression patterns:

    • RAGE and its binding partners (e.g., S100A8/A9) show differential expression in:

      • Normal versus pathological tissues

      • Early versus advanced disease stages (e.g., in situ versus invasive SCC)

      • Different patient populations (immunocompetent versus immunosuppressed)

  • Functional correlations:

    • Combine expression analysis with functional readouts (e.g., proliferation assessed by BrdU incorporation)

    • Compare antibody blocking with genetic approaches (knockdown) to validate biological significance

    • Consider additional receptors that might compensate for RAGE (e.g., TLR4)

How can I troubleshoot weak or inconsistent AGER antibody signals?

When facing detection challenges:

  • For weak Western blot signals:

    • Increase protein loading (up to 40-50 μg per lane)

    • Optimize primary antibody concentration and incubation time

    • Consider enhanced chemiluminescence detection systems

    • Verify sample preparation maintains protein integrity

    • Ensure antibody storage conditions are optimal (-20°C for long-term storage)

  • For inconsistent IHC staining:

    • Optimize antigen retrieval method for FFPE tissues

    • Test a range of antibody dilutions (1:10 to 1:50)

    • Increase primary antibody incubation time

    • Use amplification systems for enhanced sensitivity

    • Verify positive control tissues show expected staining patterns

  • For functional blocking experiments:

    • Pre-incubation time (1 hour) and antibody concentration (80 μg/ml) are critical parameters

    • Include appropriate positive controls (RAGE-dependent cellular responses)

    • Consider that high antibody concentrations may cause non-specific effects

How can AGER antibodies be used to study receptor-mediated signaling pathways?

AGER antibodies provide valuable tools for investigating signaling mechanisms:

  • Receptor-ligand interactions:

    • RAGE interactions with S100 proteins can be studied using blocking antibodies

    • Functional consequences of these interactions can be measured using proliferation assays

    • Comparison with other receptors (e.g., TLR4) can identify specific versus redundant signaling pathways

  • Downstream signaling analysis:

    • Following confirmation of RAGE expression by antibody detection, researchers can investigate:

      • NF-κB pathway activation, known to be sustained in RAGE signaling

      • Inflammatory cytokine production (e.g., IL-6)

      • Cellular phenotypic changes (proliferation, migration, adhesion)

  • Therapeutic targeting assessment:

    • RAGE blocking strategies can be evaluated using antibodies before moving to more complex models

    • Dose-dependent and time-dependent effects can be systematically analyzed

What are the considerations for multiplexed detection of AGER and its binding partners?

For comprehensive analysis of RAGE biology:

How do polyclonal and monoclonal AGER antibodies compare in research applications?

The search results primarily describe polyclonal antibodies , but researchers should consider these differences:

CharacteristicPolyclonal AntibodiesMonoclonal Antibodies
Epitope recognitionMultiple epitopes within target regionSingle, specific epitope
SensitivityGenerally higher (multiple binding sites)May require signal amplification
Batch-to-batch variationHigherMinimal
BackgroundMay be higherTypically lower
ApplicationsVersatile across applicationsMay be application-specific
Best use casesInitial studies, protein detectionSpecific epitope targeting, therapeutic applications

What are the critical quality control parameters for validating AGER antibodies?

Researchers should assess:

  • Specificity validation:

    • Western blot showing band at expected molecular weight (42-43 kDa)

    • Absence of signal in negative control samples

    • Comparison with genetic overexpression or knockdown

  • Sensitivity assessment:

    • Detection of endogenous versus overexpressed RAGE

    • Signal-to-noise ratio in relevant applications

    • Appropriate positive controls (e.g., rat lung lysate)

  • Application validation:

    • Performance in multiple applications (WB, IHC, ELISA, FC)

    • Optimal working dilutions for each application

    • Reproducibility across different experimental conditions

  • Storage and stability:

    • Proper storage conditions (-20°C for long-term storage)

    • Aliquoting to avoid freeze-thaw cycles

    • Verification of performance after extended storage

By systematically addressing these considerations, researchers can ensure reliable and reproducible results when working with AGER antibodies in diverse experimental contexts.

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