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SAMBA: A Multicolor Digital Melting PCR Platform for Rapid Microbiome Profiling.
Luo, Yongqiang; Cui, Xu; Cheruba, Elsie; Chua, Yong Kang; Ng, Charmaine; Tan, Rui Zhen; Tan, Ker-Kan; Cheow, Lih Feng.
Afiliação
  • Luo Y; Department of Biomedical Engineering & Institute for Health Innovation and Technology, National University of Singapore, Singapore, 119077, Singapore.
  • Cui X; Department of Biomedical Engineering & Institute for Health Innovation and Technology, National University of Singapore, Singapore, 119077, Singapore.
  • Cheruba E; Department of Biomedical Engineering & Institute for Health Innovation and Technology, National University of Singapore, Singapore, 119077, Singapore.
  • Chua YK; Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore.
  • Ng C; Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore.
  • Tan RZ; Engineering Cluster, Singapore Institute of Technology, Singapore, 138683, Singapore.
  • Tan KK; Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore.
  • Cheow LF; Division of Colorectal Surgery, National University Hospital, Singapore, 119074, Singapore.
Small Methods ; 6(8): e2200185, 2022 08.
Article em En | MEDLINE | ID: mdl-35652511
ABSTRACT
During the past decade, breakthroughs in sequencing technology have provided the basis for studies of the myriad ways in which microbial communities in and on the human body influence human health and disease. In almost every medical specialty, there is now a growing interest in accurate and quantitative profiling of the microbiota for use in diagnostic and therapeutic applications. However, the current next-generation sequencing approach for microbiome profiling is costly, requires laborious library preparation, and is challenging to scale up for routine diagnostics. Split, Amplify, and Melt analysis of BActeria-community (SAMBA), a novel multicolor digital melting polymerase chain reaction platform with unprecedented multiplexing capability is presented, and the capability to distinguish and quantify 16 bacteria species in mixtures is demonstrated. Subsequently, SAMBA is applied to measure the compositions of bacteria in the gut microbiome to identify microbial dysbiosis related to colorectal cancer. This rapid, low cost, and high-throughput approach will enable the implementation of microbiome diagnostics in clinical laboratories and routine medical practice.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Microbiota Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Microbiota Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article