Optimizing the First TPR Domain of the Human SPAG1 Protein Provides Insight into the HSP70 and HSP90 Binding Properties.


Journal

Biochemistry
ISSN: 1520-4995
Titre abrégé: Biochemistry
Pays: United States
ID NLM: 0370623

Informations de publication

Date de publication:
03 08 2021
Historique:
pubmed: 20 3 2021
medline: 18 11 2021
entrez: 19 3 2021
Statut: ppublish

Résumé

Tetratricopeptide repeat domains, or TPR domains, are protein domains that mediate protein:protein interaction. As they allow contacts between proteins, they are of particular interest in transient steps of the assembly process of macromolecular complexes, such as the ribosome or the dynein arms. In this study, we focused on the first TPR domain of the human SPAG1 protein. SPAG1 is a multidomain protein that is important for ciliogenesis whose known mutations are linked to primary ciliary dyskinesia syndrome. It can interact with the chaperones RUVBL1/2, HSP70, and HSP90. Using protein sequence optimization in combination with structural and biophysical approaches, we analyzed, with atomistic precision, how the C-terminal tails of HSPs bind a variant form of SPAG1-TPR1 that mimics the wild-type domain. We discuss our results with regard to other complex three-dimensional structures with the aim of highlighting the motifs in the TPR sequences that could drive the positioning of the HSP peptides. These data could be important for the druggability of TPR regulators.

Identifiants

pubmed: 33739091
doi: 10.1021/acs.biochem.1c00052
doi:

Substances chimiques

Antigens, Surface 0
Carrier Proteins 0
HSP70 Heat-Shock Proteins 0
HSP90 Heat-Shock Proteins 0
GTP-Binding Proteins EC 3.6.1.-
SPAG1 protein, human EC 3.6.1.-
ATPases Associated with Diverse Cellular Activities EC 3.6.4.-
DNA Helicases EC 3.6.4.-
RUVBL1 protein, human EC 3.6.4.12
RUVBL2 protein, human EC 3.6.4.12

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2349-2363

Auteurs

Sana Dermouche (S)

Université de Lorraine, CNRS, IMoPA, F-54000 Nancy, France.

Marie-Eve Chagot (ME)

Université de Lorraine, CNRS, IMoPA, F-54000 Nancy, France.

Xavier Manival (X)

Université de Lorraine, CNRS, IMoPA, F-54000 Nancy, France.

Marc Quinternet (M)

Université de Lorraine, CNRS, INSERM, IBSLor, F-54000 Nancy, France.

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Classifications MeSH