A MULTIMODAL BIOSENSOR PLATFORM FOR RAPID CHARACTERIZATION OF GUT MICROBIOTA

This study reports on a multimodal biosensor for transversal analysis (MBioTA) platform, which captures taxonomy, viability, and functional genes in individual cells of the microbiota.The platform achieves transversal analysis by harnessing a multimodal single-cell biosensing scheme, a bioinformatic taxonomical probe design workflow, a scalable microwell array, and automated image processing algorithms.The platform implements quantitative microbial profiling in as few as two hours.To detect low biomass samples, we incorporated an automated imaging analysis workflow for quantitative analysis of over 350,000 bacteria in a single sample, demonstrating a limit of detection of 0.0075%.We showed the applicability of the platform by studying the composition, viability, and functionality of the gut microbiota of a familial Alzheimer's disease mouse model (5xFAD) and unveiled unique patterns compared to wild-type mice.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.70477/apkv2009
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
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article

A MULTIMODAL BIOSENSOR PLATFORM FOR RAPID CHARACTERIZATION OF GUT MICROBIOTA

Sam Yang, Joseph C. Liao, Jyong-Huei Lee, Dennis Chan et al.
Advanced Chemical Sensor Technologies
article

A MULTIMODAL BIOSENSOR PLATFORM FOR RAPID CHARACTERIZATION OF GUT MICROBIOTA

Sam Yang, Joseph C. Liao, Jyong-Huei Lee, Dennis Chan, Nanying Zhang, C. Chin, Pak Kin
article en

Abstract

This study reports on a multimodal biosensor for transversal analysis (MBioTA) platform, which captures taxonomy, viability, and functional genes in individual cells of the microbiota.The platform achieves transversal analysis by harnessing a multimodal single-cell biosensing scheme, a bioinformatic taxonomical probe design workflow, a scalable microwell array, and automated image processing algorithms.The platform implements quantitative microbial profiling in as few as two hours.To detect low biomass samples, we incorporated an automated imaging analysis workflow for quantitative analysis of over 350,000 bacteria in a single sample, demonstrating a limit of detection of 0.0075%.We showed the applicability of the platform by studying the composition, viability, and functionality of the gut microbiota of a familial Alzheimer's disease mouse model (5xFAD) and unveiled unique patterns compared to wild-type mice.

Affordable and clean energy
Openalex Percentile: Top 75%
Advanced Chemical Sensor Technologies
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A MULTIMODAL BIOSENSOR PLATFORM FOR RAPID CHARACTERIZATION OF GUT MICROBIOTA — Sam Yang, Joseph C. Liao, et al. · (2024) | TGRS Research Map | TGRS