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Phage ImmunoPrecipitation Sequencing (PhIP-Seq): The Promise of High Throughput Serology.
Tiu, Charles Kevin; Zhu, Feng; Wang, Lin-Fa; de Alwis, Ruklanthi.
Afiliação
  • Tiu CK; Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore.
  • Zhu F; SingHealth Duke-NUS Global Health Institute, Singapore 169857, Singapore.
  • Wang LF; Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore.
  • de Alwis R; Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore.
Pathogens ; 11(5)2022 May 11.
Article em En | MEDLINE | ID: mdl-35631089
ABSTRACT
Phage ImmunoPrecipitation Sequencing (PhIP-Seq) is a high throughput serological technology that is revolutionizing the manner in which we track antibody profiles. In this review, we mainly focus on its application to viral infectious diseases. Through the pull-down of patient antibodies using peptide-tile-expressing T7 bacteriophages and detection using next-generation sequencing (NGS), PhIP-Seq allows the determination of antibody repertoires against peptide targets from hundreds of proteins and pathogens. It differs from conventional serological techniques in that PhIP-Seq does not require protein expression and purification. It also allows for the testing of many samples against the whole virome. PhIP-Seq has been successfully applied in many infectious disease investigations concerning seroprevalence, risk factors, time trends, etiology of disease, vaccinology, and emerging pathogens. Despite the inherent limitations of this technology, we foresee the future expansion of PhIP-Seq in both investigative studies and tracking of current, emerging, and novel viruses. Following the review of PhIP-Seq technology, its limitations, and applications, we recommend that PhIP-Seq be integrated into national surveillance programs and be used in conjunction with molecular techniques to support both One Health and pandemic preparedness efforts.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Pathogens Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Pathogens Ano de publicação: 2022 Tipo de documento: Article