A case for glycerol as an acceptable additive for single-particle cryoEM samples.


Journal

Acta crystallographica. Section D, Structural biology
ISSN: 2059-7983
Titre abrégé: Acta Crystallogr D Struct Biol
Pays: United States
ID NLM: 101676043

Informations de publication

Date de publication:
01 Jan 2022
Historique:
received: 14 09 2021
accepted: 13 11 2021
entrez: 4 1 2022
pubmed: 5 1 2022
medline: 25 3 2022
Statut: ppublish

Résumé

Buffer-composition and sample-preparation guidelines for cryo-electron microscopy are geared towards maximizing imaging contrast and reducing electron-beam-induced motion. These pursuits often involve the minimization or the complete removal of additives that are commonly used to facilitate proper protein folding and minimize aggregation. Among these admonished additives is glycerol, a widely used osmolyte that aids protein stability. In this work, it is shown that the inclusion of glycerol does not preclude high-resolution structure determination by cryoEM, as demonstrated by an ∼2.3 Å resolution reconstruction of mouse apoferritin (∼500 kDa) and an ∼3.3 Å resolution reconstruction of rabbit muscle aldolase (∼160 kDa) in the presence of 20%(v/v) glycerol. While it was found that generating thin ice that is amenable to high-resolution imaging requires long blot times, the addition of glycerol did not result in increased beam-induced motion or an inability to pick particles. Overall, these findings indicate that glycerol should not be discounted as a cryoEM sample-buffer additive, particularly for large, fragile complexes that are prone to disassembly or aggregation upon its removal.

Identifiants

pubmed: 34981768
pii: S2059798321012110
doi: 10.1107/S2059798321012110
pmc: PMC8725161
doi:

Substances chimiques

Buffers 0
Apoferritins 9013-31-4
Fructose-Bisphosphate Aldolase EC 4.1.2.13
Glycerol PDC6A3C0OX

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

124-135

Subventions

Organisme : NIA NIH HHS
ID : R21 AG067594
Pays : United States
Organisme : NIH HHS
ID : S10 OD021634
Pays : United States
Organisme : NIH HHS
ID : R01 GM14305
Pays : United States
Organisme : NIH HHS
ID : R21 AG067594
Pays : United States

Informations de copyright

open access.

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Auteurs

Benjamin Basanta (B)

Department of Integrative Structural and Computational Biology, Scripps Research, La Jolla, CA 92037, USA.

Marscha M Hirschi (MM)

Department of Integrative Structural and Computational Biology, Scripps Research, La Jolla, CA 92037, USA.

Danielle A Grotjahn (DA)

Department of Integrative Structural and Computational Biology, Scripps Research, La Jolla, CA 92037, USA.

Gabriel C Lander (GC)

Department of Integrative Structural and Computational Biology, Scripps Research, La Jolla, CA 92037, USA.

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Classifications MeSH