Nanobody interaction unveils structure, dynamics and proteotoxicity of the Finnish-type amyloidogenic gelsolin variant.


Journal

Biochimica et biophysica acta. Molecular basis of disease
ISSN: 1879-260X
Titre abrégé: Biochim Biophys Acta Mol Basis Dis
Pays: Netherlands
ID NLM: 101731730

Informations de publication

Date de publication:
01 03 2019
Historique:
received: 16 10 2018
revised: 11 12 2018
accepted: 04 01 2019
pubmed: 10 1 2019
medline: 2 11 2019
entrez: 10 1 2019
Statut: ppublish

Résumé

AGel amyloidosis, formerly known as familial amyloidosis of the Finnish-type, is caused by pathological aggregation of proteolytic fragments of plasma gelsolin. So far, four mutations in the gelsolin gene have been reported as responsible for the disease. Although D187N is the first identified variant and the best characterized, its structure has been hitherto elusive. Exploiting a recently-developed nanobody targeting gelsolin, we were able to stabilize the G2 domain of the D187N protein and obtained, for the first time, its high-resolution crystal structure. In the nanobody-stabilized conformation, the main effect of the D187N substitution is the impairment of the calcium binding capability, leading to a destabilization of the C-terminal tail of G2. However, molecular dynamics simulations show that in the absence of the nanobody, D187N-mutated G2 further misfolds, ultimately exposing its hydrophobic core and the furin cleavage site. The nanobody's protective effect is based on the enhancement of the thermodynamic stability of different G2 mutants (D187N, G167R and N184K). In particular, the nanobody reduces the flexibility of dynamic stretches, and most notably decreases the conformational entropy of the C-terminal tail, otherwise stabilized by the presence of the Ca

Identifiants

pubmed: 30625383
pii: S0925-4439(19)30010-9
doi: 10.1016/j.bbadis.2019.01.010
pii:
doi:

Substances chimiques

Amyloid 0
Gelsolin 0
Mutant Proteins 0
Single-Domain Antibodies 0
Furin EC 3.4.21.75
Calcium SY7Q814VUP

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

648-660

Subventions

Organisme : NIH HHS
ID : P40 OD010440
Pays : United States

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Toni Giorgino (T)

Istituto di Biofisica, Consiglio Nazionale delle Ricerche, Milano, Italy; Dipartimento di Bioscienze, Università degli Studi di Milano, Milano, Italy.

Davide Mattioni (D)

Istituto di Biofisica, Consiglio Nazionale delle Ricerche, Milano, Italy; Department of Molecular Biochemistry and Pharmacology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milan, Italy.

Amal Hassan (A)

Dipartimento di Bioscienze, Università degli Studi di Milano, Milano, Italy.

Mario Milani (M)

Istituto di Biofisica, Consiglio Nazionale delle Ricerche, Milano, Italy; Dipartimento di Bioscienze, Università degli Studi di Milano, Milano, Italy.

Eloise Mastrangelo (E)

Istituto di Biofisica, Consiglio Nazionale delle Ricerche, Milano, Italy; Dipartimento di Bioscienze, Università degli Studi di Milano, Milano, Italy.

Alberto Barbiroli (A)

Dipartimento di Scienze per gli Alimenti, la Nutrizione e l'Ambiente, Università degli Studi di Milano, Milano, Italy.

Adriaan Verhelle (A)

Department of Molecular Medicine, Department of Molecular and Cellular Neuroscience, Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA 92037, USA.

Jan Gettemans (J)

Nanobody Lab, Department of Biochemistry, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.

Maria Monica Barzago (MM)

Department of Molecular Biochemistry and Pharmacology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milan, Italy.

Luisa Diomede (L)

Department of Molecular Biochemistry and Pharmacology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milan, Italy.

Matteo de Rosa (M)

Istituto di Biofisica, Consiglio Nazionale delle Ricerche, Milano, Italy; Dipartimento di Bioscienze, Università degli Studi di Milano, Milano, Italy. Electronic address: matteo.derosa@cnr.it.

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Classifications MeSH