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Diagnosing and mitigating method-based avidity artifacts that confound polyubiquitin-binding assays.
Schoeffler, Allyn J; Helgason, Elizabeth; Popovych, Nataliya; Dueber, Erin C.
Afiliação
  • Schoeffler AJ; Department of Early Discovery Biochemistry, Genentech, South San Francisco, California.
  • Helgason E; Department of Early Discovery Biochemistry, Genentech, South San Francisco, California.
  • Popovych N; Department of Early Discovery Biochemistry, Genentech, South San Francisco, California.
  • Dueber EC; Department of Early Discovery Biochemistry, Genentech, South San Francisco, California.
Biophys Rep (N Y) ; 1(2): 100033, 2021 Dec 08.
Article em En | MEDLINE | ID: mdl-36425458
Polyubiquitination is a complex form of posttranslational modification responsible for the control of numerous cellular processes. Many ubiquitin-binding proteins recognize distinct polyubiquitin chain types, and these associations help drive ubiquitin-signaling pathways. There is considerable interest in understanding the specificity of ubiquitin-binding proteins; however, because of the multivalent nature of polyubiquitin, affinity measurements of these interactions that rely on affixing ubiquitin-binding proteins to a surface can display artifactual, method-dependent avidity, or "bridging." This artifact, which is distinct from biologically relevant, avid interactions with polyubiquitin, is commonplace in such polyubiquitin-binding measurements and can lead to dramatic overestimations of binding affinities for particular chain types, and thus, incorrect conclusions about specificity. Here, we use surface-based measurements of ubiquitin binding in three model systems to illustrate bridging and lay out practical ways of identifying and mitigating it. Specifically, we describe a simple fitting model that enables researchers to diagnose the severity of bridging artifacts, determine whether they can be minimized, and more accurately evaluate polyubiquitin-binding specificity.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article