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Carbohydrate-protein interactions and their biosensing applications.
Zeng, Xiangqun; Andrade, Cesar A S; Oliveira, Maria D L; Sun, Xue-Long.
Afiliação
  • Zeng X; Department of Chemistry, Oakland University, 2200 Squirrel Road, Rochester, MI 48309, USA. zeng@oakland.edu
Anal Bioanal Chem ; 402(10): 3161-76, 2012 Apr.
Article em En | MEDLINE | ID: mdl-22200920
ABSTRACT
Carbohydrate recognition is clearly present throughout nature, playing a major role in the initial attachment of one biological entity to another. The important question is whether these prevalent interactions could provide a real suitable alternative to the use of antibodies or nucleic acid for detection and identification. Currently, examples of carbohydrates being employed in biological detection systems are limited. The challenges of using carbohydrate recognition for detection mainly come from the weak affinity of carbohydrate-protein interactions, the lack of versatile carbohydrate scaffolds with well-defined structures, and the less developed high-information-content, real-time, and label-free assay technology. In this review, we focus on discussing the characteristics of carbohydrate-protein interactions in nature and the methods for carbohydrate immobilization based on surface coupling chemistry in terms of their general applicability for developing carbohydrate- and lectin-based label-free sensors. Furthermore, examples of innovative design of multivalent carbohydrate-protein interactions for sensor applications are given. We limit our review to show the feasibility of carbohydrate and lectin as recognition elements for label-free sensor development in several representative cases to formulate a flexible platform for their use as recognition elements for real-world biosensor applications.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Carboidratos / Técnicas Biossensoriais / Proteínas Tipo de estudo: Evaluation_studies / Prognostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2012 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Carboidratos / Técnicas Biossensoriais / Proteínas Tipo de estudo: Evaluation_studies / Prognostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2012 Tipo de documento: Article