Suppr超能文献

Functionality versus strength -- has functional selection taken place in the case of the ecdysteroid receptor response element?

作者信息

Grad Iwona, Kochman Marian, Ozyhar Andrzej

机构信息

Institute of Organic Chemistry, Biochemistry and Biotechnology, Wroclaw University of Technology, Wrocław, Poland.

出版信息

Acta Biochim Pol. 2002;49(3):747-56.

Abstract

Nuclear receptors are ligand-dependent transcription factors responsible for controlling differentiation, growth and development of higher eukaryotes. Three amino acids within the recognition alpha-helix of the DNA-binding domain of the nuclear receptors constitute the so-called "P-box" which determines response element specificity. In the ultraspiracle (Usp) protein, which together with EcR forms the heterodimeric ecdysone receptor, the P-box residues are E19, G20 and G23. Substitution of E19, the most characteristic amino acid for estrogen receptor-like P-boxes, with alanine showed that the mutation did not appreciably alter the affinity of the wild-type Usp DNA-binding domain (UspDBD(WT)) for a probe containing natural ecdysone response element (hsp27(wt)). Since in many cases E19 contacts a G/C base pair in position -4, which is absent in hsp27(wt), we analysed the interaction of UspDBD(WT), E19A and other P-box region mutants with the hsp27(wt) derivative which contains a G/C instead of an T/A base pair in position -4. UspDBD(WT) exhibited higher affinity for this element than for hsp27(wt). Moreover, a different interaction pattern of P-box region mutants was also observed. Thus we conclude that the E19 residue of UspDBD is not involved in any hsp27(wt) sequence-discerning contacts. However, substitution of the hsp27(wt) T/A base pair in position -4 with G/C generates target sequence with distinct functional characteristics and possibly with a new specificity. These results could serve as a basis for understanding the role of the presence of a T/A or G/C base-pair in the position -4 in the two types of ecdysone response elements found in nature.

摘要

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验