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AB185748

Anti-MICA antibody [6D4] - Low endotoxin, Azide free

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(1 Publication)

Mouse Monoclonal MICA antibody. Carrier free. Suitable for IP, Flow Cyt, IHC-P, FuncS and reacts with Human samples. Cited in 1 publication.

View Alternative Names

PERB11.1, MICA, MHC class I polypeptide-related sequence A, MIC-A

Key facts

Host species

Mouse

Clonality

Monoclonal

Clone number

6D4

Isotype

IgG2a

Light chain type

kappa

Carrier free

Yes

Reacts with

Human

Applications

Flow Cyt, IP, IHC-P, FuncS

applications

Reactivity data

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Product details

Endotoxin Level: Less than 0.001 ng/μg antibody, as determined by the LAL assay.

Properties and storage information

Form
Liquid
Purification technique
Affinity purification Protein G
Storage buffer
pH: 7.2
Shipped at conditions
Blue Ice
Appropriate short-term storage duration
1-2 weeks
Appropriate short-term storage conditions
+4°C
Appropriate long-term storage conditions
-20°C
Aliquoting information
Upon delivery aliquot
Storage information
Avoid freeze / thaw cycle

Supplementary information

This supplementary information is collated from multiple sources and compiled automatically.

MICA also known as MHC class I polypeptide-related sequence A is a protein encoded by the MICA gene. It has a molecular weight of approximately 62 kDa. MICA is a stress-induced ligand expressed on the surface of various cell types including epithelial cells fibroblasts and some tumor cells. This protein is part of the MHC class I chain-related (MIC) family which plays an important role in the immune system by interacting with natural killer (NK) cells and certain T cells.
Biological function summary

The MICA protein acts as a ligand for the NKG2D receptor an activating receptor found on NK cells and some T-cell subsets. MICA does not require expression as part of a complex with β2-microglobulin for function. When cells express MICA they signal distress allowing immune cells to target and destroy potentially harmful cells such as those infected with viruses or transformed into cancer cells. This interaction is an important component of the immune surveillance system.

Pathways

MICA functions within the natural cytotoxicity effector pathway heavily involved in immune responses. It is also relevant in the DNA damage response pathways. Within these pathways MICA interacts with proteins like NKG2D and plays a part in mediating cellular responses to stress and damage. These interactions enhance the capacity of immune cells to recognize and eliminate abnormal cells.

MICA is associated with conditions such as psoriasis and certain types of cancer. Studies have shown increased levels of soluble MICA in the sera of patients with psoriasis indicating a role in inflammation. Additionally in cancer MICA expression affects tumor immunity connecting to the NKG2D receptor to influence immune cell targeting and destruction of tumor cells. Researchers use tools such as MICA ELISA kits and imaging techniques to study its role in these diseases.

Product protocols

For this product, it's our understanding that no specific protocols are required. You can visit:

Target data

Widely expressed membrane-bound protein which acts as a ligand to stimulate an activating receptor KLRK1/NKG2D, expressed on the surface of essentially all human natural killer (NK), gammadelta T and CD8 alphabeta T-cells (PubMed : 11491531, PubMed : 11777960). Up-regulated in stressed conditions, such as viral and bacterial infections or DNA damage response, serves as signal of cellular stress, and engagement of KLRK1/NKG2D by MICA triggers NK-cells resulting in a range of immune effector functions, such as cytotoxicity and cytokine production (PubMed : 10426993).
See full target information MICA

Publications (1)

Recent publications for all applications. Explore the full list and refine your search

Oral diseases 29:3493-3502 PubMed36251469

2022

Mesenchymal β-catenin signaling affects palatogenesis by regulating α-actinin-4 and F-actin.

Applications

Unspecified application

Species

Unspecified reactive species

Xiaoming Wang,Weilong Liu,Xiao Luo,Qian Zheng,Bing Shi,Renkai Liu,Chenghao Li
View all publications

Product promise

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