Structure, signal transduction, activation, and inhibition of integrin IIb3
THROMBOSIS JOURNAL(2023)
Nanjing Med Univ
Abstract
Integrins are heterodimeric receptors comprising alpha and beta subunits. They are expressed on the cell surface and play key roles in cell adhesion, migration, and growth. Several types of integrins are expressed on the platelets, including alpha v beta 3, alpha IIb beta 3, alpha 2 beta 1, alpha 5 beta 1, and alpha 6 beta 1. Among these, physically alpha IIb beta 3 is exclusively expressed on the platelet surface and their precursor cells, megakaryocytes. alpha IIb beta 3 adopts at least three conformations: i) bent-closed, ii) extended-closed, and iii) extended-open. The transition from conformation i) to iii) occurs when alpha IIb beta 3 is activated by stimulants. Conformation iii) possesses a high ligand affinity, which triggers integrin clustering and platelet aggregation. Platelets are indispensable for maintaining vascular system integrity and preventing bleeding. However, excessive platelet activation can result in myocardial infarction (MI) and stroke. Therefore, finding a novel strategy to stop bleeding without accelerating the risk of thrombosis is important. Regulation of alpha IIb beta 3 activation is vital for this strategy. There are a large number of molecules that facilitate or inhibit alpha IIb beta 3 activation. The interference of these molecules can accurately control the balance between hemostasis and thrombosis. This review describes the structure and signal transduction of alpha IIb beta 3, summarizes the molecules that directly or indirectly affect integrin alpha IIb beta 3 activation, and discusses some novel anti alpha IIb beta 3 drugs. This will advance our understanding of the activation of alpha IIb beta 3 and its essential role in platelet function and tumor development.
MoreTranslated text
Key words
Platelet activation,Integrins,alpha IIb beta 3,Hemostasis,Thrombosis
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined