MICA Antibody

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Description

Mechanisms of Action

MICA antibodies exert effects through multiple pathways:

  • NK Cell Activation: By stabilizing MICA/B surface expression, antibodies enhance NKG2D-mediated cytotoxicity against stressed cells .

  • Antibody-Dependent Cellular Cytotoxicity (ADCC): Engineered IgG1-Fc variants (e.g., AHA-1031) boost CD16a binding, increasing NK cell killing by 7-fold compared to wild-type Fc .

  • Complement-Dependent Cytotoxicity (CDC): Anti-MICA antibodies lyse endothelial cells in transplant grafts, contributing to rejection .

Clinical Research Findings

Table 2: Key Studies on MICA Antibodies

Study FocusKey FindingsSource
Transplant RejectionPre-transplant MICA antibodies correlate with 32% graft loss in renal transplants
Cancer ImmunotherapyAHA-1031 reduces MICA shedding by 80% and enhances tumor clearance in melanoma models
Epitope Mapping70% of sensitized patients target CMGWS/AYVE supereplets

Therapeutic Applications

Recent advancements include:

  • AHA-1031: An Fc-engineered antibody showing:

    • 17 nM binding affinity to CD16a

    • Dual suppression of soluble MICA (sMICA) and MICB (sMICB) by >75%

  • 7C6/DM919: Phase I antibodies preventing α3 domain cleavage, currently trialed for solid tumors (NCT05117476, NCT06328673) .

Pathological Roles in Transplantation

MICA antibodies contribute to:

  • Chronic Antibody-Mediated Rejection: 45% of heart transplant recipients with anti-MICA antibodies experience rejection within 5 years .

  • Endothelial Damage: Complement activation via C1q binding induces microvascular inflammation .

Detection Methods

  • Luminex Single Antigen Beads: Detect antibodies with >90% sensitivity using recombinant MICA alleles .

  • MFI Thresholds: Median fluorescence intensity (MFI) >5,000 correlates with clinical relevance .

Product Specs

Buffer
PBS with 0.02% Sodium Azide, 50% Glycerol, pH 7.3. Stored at -20°C. Avoid freeze / thaw cycles.
Lead Time
Generally, we can ship products within 1-3 business days after receiving your order. Delivery time may vary depending on the purchasing method or location. Please consult your local distributors for specific delivery times.
Synonyms
MHC class I chain-related protein A antibody; MHC class I chain-related protein B antibody; MHC class I polypeptide related sequence A antibody; MHC class I polypeptide related sequence B antibody; MHC class I polypeptide-related sequence A antibody; MIC-A antibody; micA antibody; MICA_HUMAN antibody; MICB antibody
Target Names
Uniprot No.

Target Background

Function
MICA, or major histocompatibility complex class I-related chain A, is a stress-induced self-antigen recognized by gamma delta T-cells. It functions as a ligand for the KLRK1/NKG2D receptor. Binding to KLRK1 triggers cell lysis, suggesting a role in immune surveillance and elimination of stressed or transformed cells.
Gene References Into Functions
  • Studies have demonstrated that genetic variations in MICA influence soluble MICA levels, with Val mismatch at position 129 correlating with increased cytomegalovirus infection and kidney acute rejection risk following pancreas-kidney transplantation within the first year post-transplant. PMID: 30181474
  • MICA plays a role in various cancer types, as reviewed in this publication. PMID: 29635123
  • The MICA A5.1 polymorphism has been associated with improved morphological response to chemotherapy and reduced relapse risk after colorectal liver metastases resection. PMID: 29969766
  • Research suggests that three proteins, namely aristaless-like homeobox1 isoform X1 (ALX1), major histocompatibility complex polypeptide-related sequence A (MICA), and uncharacterized protein C14orf105 isoform X12, may serve as potential markers for Opisthorchis viverrini (OV) infection, as they were predominantly found in all OV-infected groups. PMID: 29936472
  • The MICA-129 val/val genotype, associated with higher circulating sMICA levels, may influence disease susceptibility and potentially contribute to increased severity of rheumatoid arthritis in south Indian Tamils. PMID: 28752674
  • The rs12524487 variant in HLA-B/MICA has been identified as a genetic risk factor for Takayasu arteritis in a Chinese Han population, while rs9366782 in the same region was associated with ischemic brain disease in TA but not TA susceptibility. PMID: 28261975
  • Research has uncovered that an HCMV protein, UL148A, previously unknown in function, is crucial for evading NK cells. This study demonstrates that HCMV strains lacking UL148A are impaired in their ability to downregulate MICA expression. PMID: 29950412
  • The MICA*002:01/A9 allele and MICA*002:01-MICB*005:02 haplotype have been negatively associated with respiratory syncytial virus respiratory tract infections. PMID: 28925058
  • Serum MICA levels have been strongly correlated with liver disease severity in chronic hepatitis C patients carrying the MICA rs738409 A allele. PMID: 28427234
  • Blocking MICA-NKG2D interactions has resulted in decreased IFNgamma production. Moreover, depletion of monocytes in vivo led to reduced IFNgamma production by murine NK cells upon exposure to Ab-coated tumor cells. PMID: 28724544
  • A significant association has been observed between the Val allele and Val/Val genotype and the risk of breast cancer in Tunisian women. PMID: 28742417
  • This study reveals that DNA damage-dependent MICA/B expression in insensitive cancer cells can be restored through chromatin relaxation via the HDAC/Suv39/G9a pathway. This suggests that manipulating chromatin status with therapeutic cancer drugs could enhance the antitumor effect by boosting immune activation following radiotherapy and DNA damage-associated chemotherapy. PMID: 28677817
  • Research has demonstrated that efficient expression of cell-surface major histocompatibility class I-related chain molecule A (MICA) in osteosarcoma cells requires asparagine (Asn)-N-linked glycosylation of MICA. PMID: 29491059
  • This study identified the novel role of transcription factors GATA-2 and GATA-3 in suppressing MICA/B expression in HBV-infected human hepatoma cells. PMID: 27528231
  • A new MICA allelic variant, MICA*007:07, was identified in an individual of Mongol ethnicity in the Inner Mongolia Autonomous Region, northern China. PMID: 28371368
  • Inhibition of BET proteins can enhance the expression of MICA, a ligand of the NKG2D receptor, in human MM cell lines and primary malignant plasma cells, leading to increased efficiency in activating NK cell degranulation. PMID: 27903272
  • Findings suggest that the polymorphism of rs2256318 in MICA may contribute to the etiology of preterm birth by interfering with placental development. Further validation in larger and multi-ethnic populations is necessary. PMID: 28864994
  • This study indicates that the MICB*009N allele might be a risk factor for SLE, whereas the MICB*014, MICA*010, and MICB*002 alleles were associated with reduced incidence of SLE in the study population. PMID: 29078849
  • Newly discovered truncated MICA isoforms exhibit a range of functions that may drive unexpected immune mechanisms and provide new tools for immunotherapy. PMID: 27342847
  • Data suggests that MICA and PVR are directly regulated by human cytomegalovirus immediate early proteins, which may be crucial for the onset of an early host antiviral response. PMID: 27733551
  • This study reveals that MICA/B is more broadly expressed in normal tissue and that expression is primarily intracellular, with only a small fraction appearing on the cell surface of certain epithelia and tumor cells. PMID: 28334733
  • Selecting a MICA-matched donor significantly influences key clinical outcomes of HCT, where minimizing GVHD is paramount. The strong linkage disequilibrium between MICA and HLA-B makes identifying a MICA-matched donor readily feasible in clinical practice. PMID: 27549307
  • MICA-129 matching is relevant in unrelated hematopoietic stem cell transplantation. PMID: 27811019
  • No evidence of an association between MICA*Del and nasopharyngeal carcinoma was found in the southern Chinese Han population. PMID: 27870115
  • This research identifies the major histocompatibility complex-related MICA as an immunogenetic factor that may functionally influence anti-BK polyomavirus immune responses and infection outcomes. PMID: 27130430
  • This study provides information on the distribution of MICA polymorphisms and their linkage disequilibrium with HLA-B alleles in Brazilian renal-transplant candidates. A total of 19 MICA allele groups were identified, with the most frequent being MICA*008 (21.6%), MICA*002 (17.0%), and MICA*004 (14.8%). The most common haplotypes were MICA*009-B*51 (7.8%), MICA*004-B*44 (6.06%), and MICA*002-B*35 (5.63%). PMID: 28419176
  • MICA*A4 provides protection against ulcerative colitis, while MICA*A5.1 is associated with abscess formation and age of onset. PMID: 26940143
  • MICA*012:05 differs from MICA*012:01 by a single synonymous C to T substitution at nucleotide position 269 in exon 4. PMID: 27273902
  • There is no clear correlation between the MMP9 -1562 C/T SNP and circulating MICA/B concentrations in breast cancer patients. PMID: 27026046
  • Cirrhotic patients carrying MICA risk alleles and those without risk alleles but with high sMICA levels exhibited the highest risk of HCC development after failing antiviral therapy. PMID: 27998720
  • Elevated serum MICA levels have been associated with acute myocardial infarction. PMID: 27306684
  • These findings are significant from an anthropological perspective and will inform future studies on the potential role of MICA and MICB genes in allogeneic organ transplantation and HLA-linked disease associations in populations of related ancestry. PMID: 27028549
  • MICA was significantly associated with the epithelial-to-mesenchymal transition gene set in clear cell renal cell carcinoma. PMID: 26349747
  • Reversing epigenetic silencing of MICA and MICB improves immune recognition and killing of Merkel cell carcinoma cells. PMID: 26902929
  • This meta-analysis confirmed that MICA-A6 could be a risk factor for Behcet's disease in three ethnic regions. PMID: 26875668
  • Polymorphisms in IFN-gamma rs2069727 and MICA rs2596542 may be related to the incidence of hepatocellular carcinoma. PMID: 26893439
  • Gastric cancer patients with tumors exhibiting high MICA expression are more likely to benefit from adjuvant chemotherapy, immunotherapy, and gastrectomy. PMID: 26607264
  • This research suggests that sustained local expression of MICA and MICB within the tumor may contribute to the malignant progression of Gastric cancer (GC), and that expression of these ligands predicts an unfavorable prognosis in GC patients with large tumors. PMID: 26708143
  • In the South Tunisian population, MICA appears to play a disease-modifying role rather than being a primary susceptibility gene for uveitis. PMID: 25468490
  • Reduced cell surface expression of NKG2D in response to engagement by MICA-129Met variants seemed to decrease the severity of acute graft-versus-host disease. PMID: 26483398
  • Estrogen upregulates MICA/B expression in human non-small cell lung cancer through the regulation of ADAM17. PMID: 25363527
  • This meta-analysis indicates that the MICA-TM A6 allele and the MICA*009 allele are associated with BD susceptibility in various ethnic populations, and that MICA alleles are in strong linkage disequilibrium with HLA-B51 in BD. PMID: 26184953
  • The importance of the functional MICA-129 polymorphism in the severity of left ventricular ejection fraction in Chronic Chagas heart disease was investigated. PMID: 26129751
  • MICA polymorphisms do not appear to influence the development of ocular lesions in patients diagnosed with toxoplasmosis in the study population. PMID: 26672749
  • This study examines the link between Behcet's Disease and two specific HLA alleles associated with Behcet's Disease (HLA-A*26:01 and HLA-B*51:01) in terms of their binding affinity to the MICA. PMID: 26331842
  • In conclusion, DNT cells can significantly inhibit the growth of pancreatic carcinoma in vivo, and the mechanism may involve abnormal expressions of MICA and NKG2D. PMID: 26616050
  • Further research on the association between HBV replication and MICA induction is warranted. PMID: 26212443
  • In cervical adenocarcinoma (but not squamous cell carcinoma), low sMICA levels were positively related to recurrent disease, higher FIGO stage, and vaginal involvement. High sMICA levels were associated with improved disease-free and disease-specific survival. PMID: 25871737
  • Serum MICA levels were related to tumor pathology, TNM stage, and kidney neoplasm metastasis. PMID: 26125933
  • High MICA expression is associated with Renal Cancer. PMID: 25987057

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Database Links

HGNC: 7090

OMIM: 177900

KEGG: hsa:100507436

UniGene: Hs.130838

Involvement In Disease
Psoriasis 1 (PSORS1); Psoriatic arthritis (PSORAS)
Protein Families
MHC class I family, MIC subfamily
Subcellular Location
Cell membrane; Single-pass type I membrane protein. Cytoplasm.
Tissue Specificity
Widely expressed with the exception of the central nervous system where it is absent. Expressed predominantly in gastric epithelium and also in monocytes, keratinocytes, endothelial cells, fibroblasts and in the outer layer of Hassal's corpuscles within t

Q&A

What is MICA and why is it important in immunological research?

MICA is a highly polymorphic nonclassical MHC class I molecule with over 105 identified alleles and continuous discovery of new variants. Unlike classical MHC class I proteins, MICA functions independently of conventional peptide ligands and does not require association with beta-2-microglobulin . MICA serves as a stress-induced ligand for Natural Killer (NK) cells and certain T cell subsets, acting as a critical molecular signal of cellular distress . This protein is particularly important in tumor immunology as it becomes upregulated in epithelial tumors, potentially triggering immune responses . MICA is also recognized by intestinal epithelial Vδ1 γδ T cells with diverse T cell receptors, highlighting its significance in immune surveillance of stressed or infected tissues .

What detection methods are available for MICA antibodies in research settings?

Multiple techniques exist for detecting MICA antibodies, each with specific applications and advantages:

  • Luminex Platform Single-Antigen Bead (SAB) Assay: Offers high sensitivity and specificity for detecting antibodies against multiple MICA specificities simultaneously. The assay can detect specificities for at least 28 MICA alleles (MICA*001, *002, *004, *005, *006, *007, *008, *009, *011, *012, *015, *016, *017, *018, *019, *024, *028, *029, *030, *033, *036, *037, *041, *042, *043, *046, *050, and *051) .

  • Flow Cytometry (FCM): Provides analysis of cell surface expression of MICA with single-cell resolution and multiparameter capabilities, allowing researchers to study MICA expression in specific cell populations .

  • ELISA: Used for detecting soluble MICA in patient blood samples and cell culture supernatants, offering a quantitative measurement of shed MICA molecules .

  • Western Blotting and Immunoprecipitation: Used for analyzing MICA protein expression and protein-protein interactions, respectively .

For optimal results, researchers should select detection methods based on their specific experimental questions and available resources. Many studies employ multiple complementary techniques to validate findings.

How do MICA antibodies differ from conventional HLA antibodies?

MICA antibodies target stress-induced ligands rather than classical antigen-presenting molecules. Unlike HLA antibodies, which recognize highly polymorphic peptide-binding regions critical for antigen presentation, MICA antibodies recognize stress-induced proteins that signal cellular distress to the immune system . The production of MICA antibodies can occur through alloimmunization via pregnancy and previous transplants, though the role of blood transfusions remains controversial with conflicting evidence . In transplantation contexts, MICA antibodies can exist independently of HLA antibodies, with some patients demonstrating MICA antibodies alone . This distinction is clinically relevant as current desensitization protocols focused solely on HLA may not address MICA sensitization, potentially leaving patients vulnerable to antibody-mediated rejection through alternative pathways .

What is the clinical significance of MICA antibodies in solid organ transplantation?

The impact of MICA antibodies on transplant outcomes has yielded contrasting findings across studies. Key observations include:

  • Patients with anti-MICA antibodies had graft survival of 89.3% compared to 94.7% in patients without these antibodies in some studies .

  • In a cohort of 139 renal allograft recipients, Sumitran-Holgersson et al. demonstrated a significant correlation between MICA antibodies and graft loss .

  • Mizutani and colleagues observed in a ten-year follow-up study that patients possessing both HLA and MICA antibodies rejected grafts more frequently than those without either antibody type .

  • Conversely, Lemy and colleagues reported better survival in patients positive for MICA antibodies .

  • Solgi et al. found no significant difference in rejection episodes between MICA antibody-positive and negative patients .

  • Suarez-Alvarez et al. observed that 29.6% of patients who developed acute rejection had MICA antibodies compared to 13.3% of antibody-negative patients (p < 0.05) .

These disparate findings highlight the complexity of MICA's role in transplantation and suggest that additional factors, including timing of antibody development, concomitant HLA sensitization, and transplant-specific protocols, significantly influence outcomes.

What is the significance of MICA-129 dimorphism in disease associations?

MICA-129 dimorphism represents a significant genetic variation that influences binding affinity to the NKG2D receptor and has been associated with multiple disease conditions across different ethnic groups . This dimorphism affects the strength of NK cell activation and subsequent immune responses. Studies have demonstrated associations between specific MICA-129 variants and autoimmune conditions, infectious diseases, and various cancers . The polymorphism at position 129 of the α2 domain of MICA results in either a methionine (strong binder) or valine (weak binder) variant, with functional consequences for NKG2D signaling strength . Researchers investigating disease associations should consider this dimorphism as a potential genetic factor influencing disease susceptibility, progression, and response to treatment. Methodologically, genotyping approaches include PCR-SSP (polymerase chain reaction sequence-specific primer) methods using allele-specific primers with control primers .

How are MICA epitopes characterized and what is their relevance in antibody development?

MICA epitope characterization employs several methodological approaches:

  • Epitope mapping using synthesized libraries of overlapping peptides from the extracellular domains of MICA molecules .

  • Identification of antigenic regions through patient serum reactivity testing .

  • Classification of epitopes as located in either variable (polymorphic) or constant regions of the molecule .

Suarez-Alvarez and colleagues identified nine antigenic regions reactive with MICA antibodies in patient serum. Four regions mapped to variable sites with polymorphic amino acids, while five antigenic regions in constant regions contained shared epitopes found across all MICA alleles . This distinction between polymorphic and conserved epitopes has significant implications for antibody development strategies. Antibodies targeting conserved epitopes may offer broader reactivity across MICA alleles, while those targeting polymorphic regions may provide allele-specific recognition. Understanding epitope locations helps researchers design therapeutic antibodies with desired specificity and functional properties, such as preventing MICA shedding while maintaining NKG2D binding.

How do mechanisms of MICA antibody production differ across sensitizing events?

The mechanisms underlying MICA antibody production show interesting variations depending on the sensitizing event:

  • Alloimmunization through pregnancy and previous transplants is well-documented and accepted as a primary mechanism for anti-MICA antibody development .

  • The role of blood transfusions remains controversial, with contradictory findings across studies .

  • Lemy et al. demonstrated that blood transfusions, previous transplantation, and two or more pregnancies were significantly associated with anti-MICA antibody formation .

  • Conversely, Zou et al. concluded that blood transfusions were not implicated in anti-MICA antibody formation .

These discrepancies may reflect methodological differences in antibody detection, variations in transfusion protocols, or genetic factors affecting immunogenicity. When designing studies investigating MICA sensitization, researchers should carefully document and analyze all potential sensitizing events while considering the timeframe between exposure and antibody testing. Understanding these pathways has important implications for preventive strategies in transplantation medicine and for interpreting antibody screening results in clinical contexts.

What are the challenges in developing therapeutic MICA antibodies for cancer immunotherapy?

Developing effective therapeutic MICA antibodies presents several significant challenges:

  • Preventing Ligand Shedding: Cancer cells often shed MICA from their surface as an immune evasion mechanism. Designing antibodies that prevent this shedding without compromising other functions is technically challenging .

  • Maintaining NK Cell Activation: Therapeutic antibodies must block shedding without interfering with MICA binding to natural killer group 2D (NKG2D) receptors on immune cells to preserve NK cell activation .

  • Achieving Optimal ADCC: Engineering antibodies with enhanced antibody-dependent cellular cytotoxicity (ADCC) properties while maintaining target specificity requires precise molecular engineering .

  • Cross-Reactivity Across MICA Alleles: Given MICA's polymorphic nature, developing antibodies with broad specificity across multiple MICA alleles while maintaining functional properties presents significant challenges .

  • Cancer-Specific Targeting: Ensuring preferential binding to tumor-expressed MICA versus normal tissue expression to minimize off-target effects .

Recent advances, such as the development of AHA-1031, demonstrate progress in addressing these challenges. This antibody binds to the α3 domain of MICA/B, preventing shedding while preserving NKG2D binding and enhancing ADCC against cancer cells .

How does the novel MICA/B antibody AHA-1031 overcome immune checkpoint blockade resistance?

The recently developed AHA-1031 antibody represents a significant advancement in addressing immune checkpoint blockade resistance, particularly in KRAS-LKB1 (KL) mutant non-small cell lung cancers that typically respond poorly to current immunotherapies . This antibody employs several mechanisms to achieve therapeutic efficacy:

  • Prevention of MICA/B Shedding: AHA-1031 specifically binds to the α3 domain of MICA/B, preventing the shedding of these molecules from cancer cell surfaces. This approach maintains the immunogenicity of tumor cells by preserving surface MICA/B expression .

  • Preservation of NKG2D Binding: Unlike some antibodies that might interfere with receptor interactions, AHA-1031 prevents MICA/B shedding without compromising binding to natural killer group 2D receptors, thus preserving NK cell activation signals .

  • Enhanced ADCC Activity: AHA-1031 is engineered for superior antibody-dependent cellular cytotoxicity, actively targeting cancer cells for immune-mediated destruction .

  • Broad Specificity: The antibody effectively binds and stabilizes MICA/B expression across multiple tumor types, demonstrating versatility across cancer indications .

In preclinical studies, AHA-1031 demonstrated significant tumor growth inhibition in two KL mutant NSCLC xenograft models and a KL mutant patient-derived xenograft model . This represents a promising approach for tumors resistant to current immunotherapies, potentially expanding treatment options for previously unresponsive cancer subtypes.

What methodological approaches are recommended for studying MICA expression and antibody efficacy in cancer models?

Researchers investigating MICA expression and antibody efficacy should employ multiple complementary methodologies:

  • Flow Cytometry Analysis: For quantifying cell surface expression of MICA/B on cancer cell lines and assessing changes in immune cell populations after antibody treatment .

  • ELISA-Based Detection: For measuring soluble MICA/B levels in both patient blood samples and cell culture supernatants to assess shedding dynamics .

  • In Vitro ADCC Assays: For evaluating the ability of antibodies to induce NK cell-mediated killing of target cells expressing MICA/B .

  • Multiple Model Systems: Including cell lines, xenografts, and patient-derived xenografts (PDX) to comprehensively evaluate antibody efficacy across different cancer contexts .

  • Immune Cell Activation Profiling: Through flow cytometry analysis to assess NK cell and T cell activation following antibody treatment .

When designing experiments, researchers should carefully select models based on MICA/B expression profiles, consider both membrane-bound and soluble MICA expression, include appropriate controls for antibody specificity across different MICA alleles, and employ in vivo models that appropriately recapitulate the tumor microenvironment for evaluating therapeutic efficacy .

What emerging approaches might enhance MICA antibody research and applications?

Several promising research directions may significantly advance MICA antibody applications:

These approaches collectively aim to overcome current limitations in MICA-targeted therapies and expand their applications across different disease contexts. Researchers entering this field should consider these emerging directions when designing new studies or therapeutic approaches.

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