A campaign targeting a conserved Hsp70 binding site uncovers how subcellular localization is linked to distinct biological activities.
A campaign targeting a conserved Hsp70 binding site uncovers how subcellular localization is linked to distinct biological activities.
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DOI:
10.1016/j.chembiol.2022.06.006
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发表时间:
2022-08-18
影响因子:
8.6
通讯作者:
Frydman, Judith
中科院分区:
文献类型:
--
作者:
Shao, Hao;Taguwa, Shuhei;Gilbert, Luke;Shkedi, Arielle;Sannino, Sara;Guerriero, Christopher J.;Gale-Day, Zachary J.;Young, Zapporah T.;Brodsky, Jeffrey L.;Weissman, Jonathan;Gestwicki, Jason E.;Frydman, Judith
The potential of small molecules to localize within subcellular compartments is rarely explored. To probe this question, we measured the localization of Hsp70 inhibitors using fluorescence microscopy. We found that even closely related analogues had dramatically different distributions, with some residing predominantly in the mitochondria and others in the ER. CRISPRi screens supported this idea, showing that different compounds had distinct chemogenetic interactions with Hsp70s of the ER (HSPA5/BiP) and mitochondria (HSPA9/mortalin) and their co-chaperones. Moreover, localization appeared to determine function even for molecules with conserved binding sites. Compounds with distinct partitioning have distinct anti-proliferative activity in breast cancer cells compared with antiviral activity in cellular models of Dengue virus replication, likely because different sets of Hsp70s are required in these processes. These findings highlight the contributions of subcellular partitioning and chemogenetic interactions to small molecule activity, features that are rarely explored during medicinal chemistry campaigns. Specific targeting of distinct Hsp70 sub-networks could be used to treat different diseases, such as cancer and virus infection while minimizing side effects. Here, Shao and Taguwa et al. address the challenge of designing diseases-specific inhibitors by taking advantage of the sub-cellular distributions of closely related Hsp70 inhibitors.
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影响因子:
14.9
作者:
Gene Ontology Consortium
通讯作者:
Gene Ontology Consortium
DOI:
10.3390/v13030366
发表时间:
2021-02-25
期刊:
Viruses
影响因子:
--
作者:
Etibor TA;Yamauchi Y;Amorim MJ
通讯作者:
Amorim MJ
影响因子:
7.3
作者:
Ambrose, Andrew J.;Chapman, Eli
通讯作者:
Chapman, Eli
影响因子:
2.8
作者:
Frantz, Marie-Celine;Wipf, Peter
通讯作者:
Wipf, Peter
影响因子:
13.8
作者:
Craig EA;Marszalek J
通讯作者:
Marszalek J