生物
NF-κB
转录因子
细胞生物学
基因
B细胞
抄写(语言学)
核心
基因表达
免疫系统
磷酸化
αBκ
NFKB1型
炎症
信号转导
遗传学
免疫学
抗体
语言学
哲学
出处
期刊:Annual Review of Immunology
[Annual Reviews]
日期:1996-04-01
卷期号:14 (1): 649-681
被引量:5932
标识
DOI:10.1146/annurev.immunol.14.1.649
摘要
▪ Abstract The transcription factor NF-κB has attracted widespread attention among researchers in many fields based on the following: its unusual and rapid regulation, the wide range of genes that it controls, its central role in immunological processes, the complexity of its subunits, and its apparent involvement in several diseases. A primary level of control for NF-κB is through interactions with an inhibitor protein called IκB. Recent evidence confirms the existence of multiple forms of IκB that appear to regulate NF-κB by distinct mechanisms. NF-κB can be activated by exposure of cells to LPS or inflammatory cytokines such as TNF or IL-1, viral infection or expression of certain viral gene products, UV irradiation, B or T cell activation, and by other physiological and nonphysiological stimuli. Activation of NF-κB to move into the nucleus is controlled by the targeted phosphorylation and subsequent degradation of IκB. Exciting new research has elaborated several important and unexpected findings that explain mechanisms involved in the activation of NF-κB. In the nucleus, NF-κB dimers bind to target DNA elements and activate transcription of genes encoding proteins involved with immune or inflammation responses and with cell growth control. Recent data provide evidence that NF-κB is constitutively active in several cell types, potentially playing unexpected roles in regulation of gene expression. In addition to advances in describing the mechanisms of NF-κB activation, excitement in NF-κB research has been generated by the first report of a crystal structure for one form of NF-κB, the first gene knockout studies for different forms of NF-κB and of IκB, and the implications for therapies of diseases thought to involve the inappropriate activation of NF-κB.
科研通智能强力驱动
Strongly Powered by AbleSci AI