Overview of the structure-based non-genomic effects of the nuclear receptor RXRα.
Overview of the structure-based non-genomic effects of the nuclear receptor RXRα.
复制标题
DOI:
10.1186/s11658-018-0103-3
复制
发表时间:
2018
影响因子:
8.3
通讯作者:
Zhao Y
中科院分区:
文献类型:
--
作者:
Chen L;Wu L;Zhu L;Zhao Y
The nuclear receptor RXRα (retinoid X receptor-α) is a transcription factor that regulates the expression of multiple genes. Its non-genomic function is largely related to its structure, polymeric forms and modification. Previous research revealed that some non-genomic activity of RXRα occurs via formation of heterodimers with Nur77. RXRα–Nur77 heterodimers translocate from the nucleus to the mitochondria in response to certain apoptotic stimuli and this activity correlates with cell apoptosis. More recent studies revealed a significant role for truncated RXRα (tRXRα), which interacts with the p85α subunit of the PI3K/AKT signaling pathway, leading to enhanced activation of AKT and promoting cell growth in vitro and in animals. We recently reported on a series of NSAID sulindac analogs that can bind to tRXRα through a unique binding mechanism. We also identified one analog, K-80003, which can inhibit cancer cell growth by inducing tRXRα to form a tetramer, thus disrupting p85α–tRXRα interaction. This review analyzes the non-genomic effects of RXRα in normal and tumor cells, and discusses the functional differences based on RXRα protein structure (structure source: the RCSB Protein Data Bank). The online version of this article (10.1186/s11658-018-0103-3) contains supplementary material, which is available to authorized users.
登录
查看更多内容
影响因子:
10.5
作者:
Gampe, RT;Montana, VG;Xu, HE
通讯作者:
Xu, HE
DOI:
10.1007/978-1-4939-7000-1_26
发表时间:
2017
期刊:
Methods in molecular biology (Clifton, N.J.)
影响因子:
--
作者:
Burley SK;Berman HM;Kleywegt GJ;Markley JL;Nakamura H;Velankar S
通讯作者:
Velankar S
影响因子:
16.6
作者:
Chen L;Aleshin AE;Alitongbieke G;Zhou Y;Zhang X;Ye X;Hu M;Ren G;Chen Z;Ma Y;Zhang D;Liu S;Gao W;Cai L;Wu L;Zeng Z;Jiang F;Liu J;Zhou H;Cadwell G;Liddington RC;Su Y;Zhang XK
通讯作者:
Zhang XK
影响因子:
16
作者:
Bourguet, W;Vivat, V;Moras, D
通讯作者:
Moras, D
影响因子:
4.8
作者:
Adam-Stitah, S;Penna, L;Rochette-Egly, C
通讯作者:
Rochette-Egly, C