SAMBA: A Multicolor Digital Melting PCR Platform for Rapid Microbiome Profiling. Issue 8 (2nd June 2022)

• Record Type: Journal Article
• Authors: Luo, Yongqiang; Cui, Xu; Cheruba, Elsie; Chua, Yong Kang; Ng, Charmaine; Tan, Rui Zhen; Tan, Ker‐Kan; Cheow, Lih Feng
• Is Part Of: Small methods. Volume 6:Issue 8(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-06-02
• Subjects: digital polymerase chain reactions -- melt curve analyses -- microbiomes -- molecular probes -- multiplexing; Nanotechnology -- Methodology -- Periodicals; Nanotechnology -- Periodicals; Periodicals; 620.5028
• DOI: 10.1002/smtd.202200185
• Languages: English
• ISSNs: 2366-9608

Abstract

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. Abstract : The Split, Amplify, and Melt analysis of BActeria‐community (SAMBA) assay performs single‐molecule identification of 16S rDNA from complex mixtures in a rapid, high‐throughput platform. SAMBA exploits melt‐curve analysis of multicolor molecular beacon probes across ≈37 000 partitions in a microfluidic chip to perform quantitative polymicrobial profiling, and is capable of detecting microbiome dysbiosis associated with colorectal cancer from fecal samples.