Your browser doesn't support javascript.
loading
The PDLIM family of actin-associated proteins and their emerging role in membrane trafficking.
Healy, Michael D; Collins, Brett M.
Afiliação
  • Healy MD; The University of Queensland, Institute for Molecular Bioscience, St Lucia, Queensland 4072, Australia.
  • Collins BM; The University of Queensland, Institute for Molecular Bioscience, St Lucia, Queensland 4072, Australia.
Biochem Soc Trans ; 51(6): 2005-2016, 2023 12 20.
Article em En | MEDLINE | ID: mdl-38095060
ABSTRACT
The PDZ and LIM domain (PDLIM) proteins are associated with the actin cytoskeleton and have conserved in roles in metazoan actin organisation and function. They primarily function as scaffolds linking various proteins to actin and its binding partner α-actinin via two conserved domains; an N-terminal postsynaptic density 95, discs large and zonula occludens-1 (PDZ) domain, and either single or multiple C-terminal LIN-11, Isl-1 and MEC-3 (LIM) domains in the actinin-associated LIM protein (ALP)- and Enigma-related proteins, respectively. While their role in actin organisation, such as in stress fibres or in the Z-disc of muscle fibres is well known, emerging evidence also suggests a role in actin-dependent membrane trafficking in the endosomal system. This is mediated by a recently identified interaction with the sorting nexin 17 (SNX17) protein, an adaptor for the trafficking complex Commander which is itself intimately linked to actin-directed formation of endosomal recycling domains. In this review we focus on the currently understood structural basis for PDLIM function. The PDZ domains mediate direct binding to distinct classes of PDZ-binding motifs (PDZbms), including α-actinin and other actin-associated proteins, and a highly specific interaction with the type III PDZbm such as the one found in the C-terminus of SNX17. The structures of the LIM domains are less well characterised and how they engage with their ligands is completely unknown. Despite the lack of experimental structural data, we find that recently developed machine learning-based structure prediction methods provide insights into their potential interactions and provide a template for further studies of their molecular functions.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Actinina / Actinas Limite: Animals Idioma: En Revista: Biochem Soc Trans Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Actinina / Actinas Limite: Animals Idioma: En Revista: Biochem Soc Trans Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Austrália