MICA Recombinant Monoclonal Antibody

Shipped with Ice Packs
In Stock

Description

Mechanism of Action and Target Specificity

MICA binds to NKG2D, an activating receptor on natural killer (NK) cells, CD8⁺ T cells, and γδ T cells, triggering cytotoxic responses against stressed or malignant cells . Recombinant mAbs targeting MICA aim to:

  • Prevent shedding: Block proteolytic cleavage of MICA from the tumor cell surface, stabilizing its expression and enhancing NKG2D-mediated immune activation .

  • Induce antibody-dependent cellular cytotoxicity (ADCC): Engage Fc receptors (e.g., CD16a) on immune effector cells to kill MICA-positive tumor cells .

Key epitopes include the α3 domain of MICA, critical for NKG2D binding and shedding inhibition .

Key Approaches

MethodAdvantagesExamples
DNA immunizationGenerates diverse native antigen responsesMouse anti-MICA mAbs (WW2G8, WW6B7)
Hybridoma technologyHigh-affinity antibody isolationRDM028 (binds α3 domain)
Recombinant expressionScalable production, engineered Fc regionsAHA-1031 (engineered IgG1-Fc for ADCC) , CSB-RA574653A0HU
  • Engineered Fc regions: Enhance binding to CD16a (e.g., AHA-1031 with Fc mutations for improved ADCC) .

  • Nanobodies: Single-domain antibodies (VHHs) with high tissue penetration and stability, used in drug conjugates (e.g., DM1) .

In Vitro and In Vivo Efficacy

AntibodyTarget DomainMechanismPreclinical OutcomesSources
AHA-1031α3 domainADCC enhancement via engineered Fc7-fold increased CD16-mediated NFAT activation vs. wild-type Fc
RDM028hG1α3 domainShedding inhibition + NKG2D activationTumor growth inhibition in HCT-116 xenografts
7C6α3 domainShedding preventionReduced efficacy in DANA mutants (ADCC dependency)
VHH-A1/H3MICA*008/009Nanobody-DM1 conjugatesSelective killing of MICA-positive tumor cells

Key Observations:

  • ADCC vs. NKG2D activation: ADCC is critical for tumor control, as blocking NKG2D only partially reduces efficacy .

  • Cross-reactivity: MICA mAbs often recognize MICB, but allele-specific binding varies (e.g., WW6B7 detects MICB*00502) .

Recombinant MICA mAbs in Research and Diagnostics

Antibody CloneSourceApplicationsValidations
MAB1300R&D SystemsFlow cytometry, Western blotK562 cell staining; knockout validation
9F1InvitrogenIHC, flow cytometryDetects MICA in formalin-fixed tissues
CSB-RA574653A0HUCusabioIHC (1:50–1:200)ELISA and IHC-tested recombinant antibody

Diagnostic Utility:

  • Flow cytometry: Quantifies MICA surface expression on cancer cells (e.g., K562 leukemia) .

  • Immunohistochemistry: Identifies MICA expression in tumor biopsies .

Challenges and Future Directions

  • Heterogeneity: MICA alleles (e.g., MICA*008 vs. *009) affect antibody binding, necessitating pan-allele targeting .

  • Combination therapies: Synergy with checkpoint inhibitors (e.g., anti-PD-1) may overcome immune evasion .

  • Clinical trials: Phase I trials for anti-MICA/B antibodies (e.g., CLN-619, DM919) are ongoing .

Product Specs

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

This MICA recombinant monoclonal antibody is produced using in vitro expression systems. The process involves cloning MICA antibody DNA sequences from immunoreactive rabbits. The immunogen used is a synthesized peptide derived from the human MICA protein. The genes encoding the MICA antibodies are inserted into plasmid vectors, which are then transfected into host cells for antibody expression. After expression, the MICA recombinant monoclonal antibody undergoes affinity-chromatography purification. Extensive functional testing using ELISA and IHC applications confirms its reactivity with the human MICA protein.

MICA is a cell surface protein that serves as a critical ligand for the NKG2D receptor on immune cells, primarily NK cells and cytotoxic T cells. Its primary role is to facilitate the recognition and elimination of stressed, infected, or transformed cells, contributing to immune surveillance, anti-cancer immunity, and the immune response against various pathogens.

Form
Liquid
Lead Time
Generally, we can ship the products within 1-3 business days after receiving your order. Delivery times may vary depending on the purchase method or location. Please consult your local distributors for specific delivery times.
Synonyms
MHC class I polypeptide-related sequence A (MIC-A), MICA, PERB11.1
Target Names
Uniprot No.

Target Background

Function

MICA appears to have no role in antigen presentation. It functions as a stress-induced self-antigen recognized by gamma delta T-cells. It serves as a ligand for the KLRK1/NKG2D receptor. Binding to KLRK1 triggers cell lysis.

Gene References Into Functions
  1. Findings suggest that genetic variants of MICA influence soluble MICA levels, and the Val mismatch at position 129 increases cytomegalovirus infection and kidney acute rejection risk within the first year post-pancreas-kidney transplantation. PMID: 30181474
  2. This review explores the role of MICA in different cancer types. PMID: 29635123
  3. The MICA A5.1 polymorphism was associated with a better CT morphologic response to chemotherapy and a reduced risk of relapse after Colorectal Liver Metastases resection. PMID: 29969766
  4. Analysis identified three proteins, aristaless-like homeobox1 isoform X1 (ALX1), major histocompatibility complex polypeptide-related sequence A (MICA), and uncharacterized protein C14orf105 isoform X12, as potential markers for Opisthorchis viverrini (OV)-infection, as they were predominantly found in all OV-infected groups. PMID: 29936472
  5. The MICA-129 val/val genotype, associated with higher levels of circulating sMICA, may influence disease susceptibility and associate with increased severity of rheumatoid arthritis in south Indian Tamils. PMID: 28752674
  6. rs12524487 in HLA-B/MICA was a genetic risk factor for Takayasu arteritis in a Chinese Han population, and rs9366782 in this region was associated with ischemic brain disease in TA but not TA susceptibility. PMID: 28261975
  7. Research has shown that an HCMV protein named UL148A, whose role was previously unknown, is required for evading NK cells. It has been demonstrated that UL148A-deficient HCMV strains are impaired in their ability to downregulate MICA expression. PMID: 29950412
  8. The allele MICA*002:01/A9 and haplotype MICA*002:01-MICB*005:02 were negatively associated with respiratory syncytial virus respiratory tract infections. PMID: 28925058
  9. Serum MICA levels were highly correlated to liver disease severity in chronic hepatitis C patients carrying the MICA rs738409 A allele. PMID: 28427234
  10. Strategies to block MICA-NKG2D interactions resulted in reductions in IFNgamma production. Depletion of monocytes in vivo led to decreased IFNgamma production by murine NK cells upon exposure to Ab-coated tumor cells. PMID: 28724544
  11. A significant association was found between the Val allele and Val/Val genotype and the risk of breast cancer in Tunisian women. PMID: 28742417
  12. This study revealed that DNA damage-dependent MICA/B expression in insensitive cancer cells can be restored by chromatin relaxation via the HDAC/Suv39/G9a pathway. Collectively, manipulating chromatin status with therapeutic cancer drugs may enhance the antitumor effect by improving immune activation following radiotherapy and DNA damage-associated chemotherapy. PMID: 28677817
  13. Findings demonstrate that the 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
  14. This study identified a novel role for transcription factors GATA-2 and GATA-3 in suppressing MICA/B expression in HBV-infected human hepatoma cells. PMID: 27528231
  15. 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
  16. 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, rendering myeloma cells more susceptible to NK cell degranulation. PMID: 27903272
  17. Results indicate 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
  18. The study suggested that the MICB*009N allele might be a risk factor for SLE, while the MICB*014, MICA*010, and MICB*002 alleles were associated with reduced incidence of SLE in the study population. PMID: 29078849
  19. New truncated MICA isoforms exhibit a range of functions that may drive unexpected immune mechanisms and provide new tools for immunotherapy. PMID: 27342847
  20. Data reveal 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
  21. This study demonstrates for the first time that MICA/B is more broadly expressed in normal tissue and that expression is mainly intracellular with only a small fraction appearing on the cell surface of some epithelia and tumor cells. PMID: 28334733
  22. Selecting a MICA-matched donor significantly influences key clinical outcomes of HCT, where a marked reduction of GVHD is paramount. The tight linkage disequilibrium between MICA and HLA-B makes identifying a MICA-matched donor readily feasible in clinical practice. PMID: 27549307
  23. MICA-129 matching is relevant in unrelated hematopoietic stem cell transplantation. PMID: 27811019
  24. No evidence of an association between MICA*Del and nasopharyngeal carcinoma in the southern Chinese Han population was found. PMID: 27870115
  25. These findings identify the major histocompatibility complex-related MICA as an immunogenetic factor that may functionally influence anti-BK polyomavirus immune responses and infection outcomes. PMID: 27130430
  26. This study provided information on the distribution of MICA polymorphisms and linkage disequilibrium with HLA-B alleles in Brazilian renal-transplant candidates. A total of 19 MICA allele groups were identified. The most frequent allele groups were 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
  27. MICA*A4 protects against ulcerative colitis, whereas MICA*A5.1 is associated with abscess formation and age of onset. PMID: 26940143
  28. MICA*012:05 differs from MICA*012:01 by a single synonymous C to T substitution at nucleotide position 269 in exon. PMID: 27273902
  29. There is no obvious correlation between the MMP9 -1562 C/T SNP and the concentrations of circulating MICA/B in breast cancer patients. PMID: 27026046
  30. Cirrhotic patients carrying MICA risk alleles and those without risk alleles but with high sMICA levels possessed the highest risk of HCC development upon failing antiviral therapy. PMID: 27998720
  31. High levels of serum MICA are associated with acute myocardial infarction. PMID: 27306684
  32. These findings are important from an anthropological perspective and will inform future studies of the potential role of MICA and MICB genes in allogeneic organ transplantation and HLA-linked disease association in populations of related ancestry. PMID: 27028549
  33. MICA was significantly associated with the epithelial-to-mesenchymal transition gene set in clear cell renal cell carcinoma. PMID: 26349747
  34. Reversal of epigenetic silencing of MICA and MICB improves immune recognition and killing of Merkel cell carcinoma cells. PMID: 26902929
  35. Meta-analysis confirmed that MICA-A6 could be responsible for BD in three ethnic regions and should probably be treated as a risk factor for Behcet's disease. PMID: 26875668
  36. IFN-gamma rs2069727 and MICA rs2596542 polymorphisms may be related to the incidence of hepatocellular carcinoma. PMID: 26893439
  37. Gastric cancer patients with tumors exhibiting high expression of MICA are more likely to benefit from adjuvant chemotherapy, immunotherapy, and gastrectomy. PMID: 26607264
  38. Results suggest that locally sustained expression of MICA and MICB in 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 presenting with large tumors. PMID: 26708143
  39. In the South Tunisian population, MICA plays a disease-modifying role, rather than being a primary gene in the susceptibility for developing uveitis. PMID: 25468490
  40. The reduced cell surface expression of NKG2D in response to engagement by MICA-129Met variants appeared to reduce the severity of acute graft-versus-host disease. PMID: 26483398
  41. Estrogen upregulates MICA/B expression in human non-small cell lung cancer through the regulation of ADAM17. PMID: 25363527
  42. This meta-analysis shows 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
  43. 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
  44. MICA polymorphisms do not appear to influence the development of ocular lesions in patients diagnosed with toxoplasmosis in this study population. PMID: 26672749
  45. The study investigates 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
  46. 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
  47. Further studies on the association between HBV replication and MICA induction should be conducted. PMID: 26212443
  48. In cervical adenocarcinoma (but not squamous cell carcinoma), low sMICA was positively related to recurrent disease, a higher FIGO stage, and vaginal involvement. High sMICA levels were associated with better disease-free and disease-specific survival. PMID: 25871737
  49. Serum MICA levels were related to tumor pathology, TNM stage, and kidney neoplasm metastasis. PMID: 26125933
  50. High MICA expression is associated with Renal Cancer. PMID: 25987057

Show More

Hide All

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 are MICA and MICB, and why are they significant targets for monoclonal antibody development?

MICA and MICB are stress-inducible surface molecules encoded by MHC class I chain-related genes located within the HLA class I region of chromosome 6. Unlike conventional MHC molecules, they are not associated with β2-microglobulin and do not present peptides . Their significance lies in being ligands for the activating receptor NKG2D, which is expressed on most natural killer (NK) cells, CD8 αβ T cells, and γδ T cells . MICA/B are expressed in intestinal epithelium and many epithelial tumors, making them valuable targets for cancer immunotherapy . When tumor cells shed MICA/B from their surface, it represents an immune evasion strategy allowing cancer cells to escape immunosurveillance .

How do MICA/B antibodies functionally contribute to anti-tumor immunity?

MICA/B antibodies can enhance anti-tumor immunity through multiple mechanisms:

  • Prevention of MICA/B shedding: Certain antibodies like RDM028 and 7C6 bind to the α3 domain of MICA/B, preventing its cleavage from tumor cell surfaces .

  • Enhanced NK cell cytotoxicity: By stabilizing MICA/B expression on tumor cells, these antibodies maintain the MICA/B-NKG2D interaction, promoting NK cell activation and tumor cell killing .

  • Antibody-dependent cellular cytotoxicity (ADCC): Some engineered antibodies like AHA-1031 can directly trigger ADCC, targeting cancer cells for destruction by immune effector cells .

  • Macrophage-mediated phagocytosis: As demonstrated in acute myeloid leukemia models, MICA/B antibodies can induce macrophage-mediated phagocytosis of cancer cells .

What are the current methodologies for generating recombinant monoclonal antibodies against MICA/B?

Several advanced methodologies exist for generating MICA/B monoclonal antibodies:

  • DNA immunization using gene gun: This approach has proven effective for generating anti-MICA monoclonal antibodies. Mice are primed with granulocyte-macrophage colony-stimulating factor plasmid followed by boosting with MICA plasmid DNA .

  • Single B cell antibody technologies: Modern approaches utilize ferrofluid technology to isolate antigen-specific antibody-secreting cells, followed by RT-PCR to generate linear Ig heavy and light chain gene expression cassettes ("minigenes") for rapid expression without conventional cloning procedures .

  • Hybridoma technology with transcriptome sequencing: For existing hybridoma cell lines, mRNA transcriptome sequencing can identify antibody sequences to enable recombinant production .

  • Modified Whole-cell ICA (mICA): This approach increases human monoclonal antibody cloning efficiency. It utilizes cell-surface affinity matrices to inhibit diffusion of secreted IgG away from originating plasmablasts, significantly improving cloning precision (from ~28% to ~68%) .

How are MICA/B recombinant antibodies characterized to ensure specificity and functionality?

Comprehensive characterization involves multiple complementary techniques:

  • Binding specificity assessment:

    • Cell ELISA against MICA-positive and MICA-negative cell lines

    • Flow cytometry using transfected cell lines expressing different MICA/B alleles

    • Immunoblot analysis against recombinant MICA protein and cell lysates

  • Functional characterization:

    • Assessment of antibody's ability to prevent MICA/B shedding using ELISA to measure soluble MICA/B in culture supernatants

    • Evaluation of surface MICA/B stabilization via flow cytometry

    • NK cell cytotoxicity assays against antibody-treated cancer cells

    • Macrophage phagocytosis assays

  • Epitope mapping:

    • Determining binding sites on MICA/B (e.g., α3 domain)

    • Cross-reactivity testing with related proteins

  • In vivo efficacy:

    • Testing in xenograft models to assess tumor growth inhibition

How can MICA/B antibodies be used to study immune evasion mechanisms in cancer?

MICA/B antibodies serve as valuable tools for investigating immune evasion mechanisms:

  • Quantification of MICA/B shedding: Using antibodies in ELISA systems to measure soluble MICA/B in patient blood samples and cell culture supernatants can help assess this immune evasion mechanism .

  • Correlation studies: Researchers can examine relationships between MICA/B shedding levels, tumor progression, and treatment responses.

  • Mechanistic studies: By comparing anti-MICA/B antibodies that bind different epitopes, researchers can identify critical regions involved in shedding and determine the proteases responsible.

  • In vitro models: Antibodies like RDM028 can be used to study how preventing MICA/B shedding affects NK cell cytotoxicity against cancer cells .

  • In vivo models: MICA/B antibodies enable investigation of immunosurveillance dynamics in animal models, particularly in the context of tumor microenvironment interactions .

What role do MICA/B antibodies play in developing new immunotherapeutic approaches for specific cancer types?

MICA/B antibodies are instrumental in developing novel cancer immunotherapies:

  • Colon cancer: Studies with the monoclonal antibody RDM028 have demonstrated enhanced cytotoxicity of NK cells against HCT-116 human colon cancer cells and anti-tumor activity in nude mouse models .

  • Acute myeloid leukemia (AML): The MICA/B antibody 7C6 inhibits AML outgrowth in immunocompetent mice. This approach is particularly valuable because approximately 50% of AML patients have leukemia cells that lack MICA/B expression. Combining 7C6 with romidepsin (a histone deacetylase inhibitor) increases MICA/B expression in AML cells, making them more susceptible to antibody-mediated immunity .

  • Combinatorial approaches: Research shows MICA/B antibodies can synergize with epigenetic regulators like romidepsin to increase surface MICA/B expression in cancer cells that initially express low levels of these proteins. This combination substantially increases MICA/B expression in human AML lines, pluripotent stem cell-derived AML blasts, leukemia stem cells, and primary cells from untreated AML patients .

How can researchers engineer MICA/B antibodies for enhanced therapeutic efficacy?

Several advanced engineering approaches can improve MICA/B antibody efficacy:

  • ADCC enhancement: Engineering antibodies with modified Fc regions can enhance their ability to recruit immune effector cells. For example, AHA-1031 was engineered with enhanced ADCC capabilities .

  • Species specificity customization: Modifying the constant regions can alter species specificity, expanding the toolbox of available reagents for research. This approach enables simultaneous use of multiple primary antibodies generated in the same host species .

  • Format diversity: Researchers can generate various antibody formats including:

    • Full-length bivalent antibodies

    • Single-chain antibody fragments (scFv)

    • Antibody-dependent cellular cytotoxicity (ADCC)-enhanced variants

    • Fc-modified versions that prevent ligand shedding without interfering with binding to natural killer group 2D

  • Epitope targeting: Designing antibodies that specifically target the α3 structural domain of MICA/B that is critical for cleavage can maximize prevention of shedding without interfering with NKG2D binding .

What methodological approaches can overcome the challenges of MICA/B heterogeneity in patient populations?

MICA/B exhibits significant allelic variation and heterogeneous expression across patient populations, presenting several challenges. Researchers can employ these methodological approaches:

  • Cross-allele reactivity screening: Test antibodies against panels of cells expressing different MICA/B alleles to identify broadly reactive antibodies. Flow cytometry using MIC-transfected and mock-293T cells can be used to characterize MICA and MICB allele specificity .

  • Combinatorial antibody cocktails: Develop mixtures of antibodies targeting different MICA/B epitopes to ensure coverage across patient populations with diverse MICA/B expression.

  • Expression induction strategies: For patients lacking MICA/B expression, combine antibody therapy with agents that induce MICA/B expression. As demonstrated in AML research, romidepsin (an HDAC 1 and 2-specific inhibitor) increases MICB mRNA in cancer cells at low doses (10 nmol/L) that cause minimal toxicity .

  • Patient stratification: Develop companion diagnostics to identify patients with MICA/B-positive tumors who would benefit most from anti-MICA/B antibody therapy.

What are the key considerations when evaluating MICA/B antibody specificity and avoiding cross-reactivity?

Ensuring specificity and minimizing cross-reactivity requires rigorous validation:

  • Comprehensive specificity testing:

    • Test against both MICA and MICB recombinant proteins in direct ELISAs

    • Evaluate binding to MICA/B-positive and negative cell lines

    • Confirm specificity using knockout/knockdown cell lines

  • Allelic variant testing:

    • Screen against cells expressing different MICA and MICB alleles

    • Use flow cytometry with MIC-transfected cells to assess allele-specific binding

  • Tissue cross-reactivity evaluation:

    • Test antibody binding to normal tissues to assess potential off-target effects

    • Evaluate reactivity in formalin-fixed paraffin-embedded tissue samples

  • Functional validation:

    • Confirm that antibody binding prevents MICA/B shedding without interfering with NKG2D binding

    • Verify enhanced NK cell-mediated cytotoxicity against antibody-treated tumor cells

How can researchers optimize MICA/B antibody production yield and quality for experimental applications?

Optimizing production involves several technical considerations:

  • Expression system selection:

    • For rapid expression, "minigene" approaches using linear DNA fragments containing hCMV promoter, Ig variable region, and constant region with polyadenylation sequence can streamline production without cloning

    • For larger-scale production, optimize transfection conditions in mammalian expression systems like HEK293 cells

  • Purification strategy:

    • Protein A or G purification is effective for most IgG subclasses

    • Consider ion exchange chromatography as a secondary purification step if needed

  • Quality control measures:

    • Confirm proper folding and assembly using reducing and non-reducing SDS-PAGE

    • Verify binding affinity through techniques like surface plasmon resonance

    • Assess aggregation state by size exclusion chromatography

  • Storage considerations:

    • Lyophilized preparations are stable for 12 months at -20 to -70°C

    • Reconstituted antibodies remain stable for 1 month at 2-8°C or 6 months at -20 to -70°C

    • Avoid repeated freeze-thaw cycles to maintain functionality

What technical challenges arise when detecting MICA/B expression in primary patient samples, and how can they be addressed?

Working with primary patient samples presents unique challenges:

  • Low expression levels:

    • Use signal amplification methods in flow cytometry

    • Apply sensitive detection systems in immunohistochemistry

    • Consider pre-enrichment steps for rare cell populations

  • Sample processing considerations:

    • Fresh versus frozen samples may yield different results, though studies suggest variable regions of immunoglobulins can be retrieved with similar frequency from both sample types

    • Standardize processing times to minimize variability

  • Background and non-specific binding:

    • Include appropriate isotype controls

    • Use Fc receptor blocking in flow cytometry applications

    • Implement dual staining approaches to confirm specificity

  • Heterogeneous expression:

    • Consider single-cell analysis techniques to capture population heterogeneity

    • Use epigenetic modifiers like romidepsin to enhance MICA/B expression in samples with low baseline levels

Quick Inquiry

Personal Email Detected
Please use an institutional or corporate email address for inquiries. Personal email accounts ( such as Gmail, Yahoo, and Outlook) are not accepted. *
© Copyright 2024 Thebiotek. All Rights Reserved.