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MALDI-TOF Mass Spectrometry

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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

Rapid Microbial Profiling through Multimodal Biosensors for Transversal Analysis.

Jyong-Huei Lee¹, Siew Mei Chin¹, Dennis C Chan¹

¹Department of Biomedical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States.

Analytical Chemistry

|July 15, 2024

Summary

This summary is machine-generated.

A new platform, Multimodal Biosensors for Transversal Analysis (MBioTA), rapidly analyzes microbial communities. It identifies taxonomy, viability, and function in just 2 hours, advancing microbiome research and diagnostics.

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Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS

Published on: July 11, 2016

Area of Science:

Microbiology
Biotechnology
Host-Microbe Interactions

Background:

Traditional microbial profiling methods are slow, lack absolute abundance measurement, struggle with low biomass detection, and cannot distinguish live/dead cells or analyze function.
Understanding host-microbe interactions is crucial for biology and medicine, but current techniques have significant limitations.

Purpose of the Study:

To introduce a rapid, multimodal microbial characterization platform, Multimodal Biosensors for Transversal Analysis (MBioTA).
To enable simultaneous capture of microbiota taxonomy, viability, and functional genes.
To overcome limitations of traditional methods by providing fast, sensitive, and comprehensive microbial analysis.

Main Methods:

Development of MBioTA platform integrating single cell biosensors, scalable microwell arrays, and automated image processing.
Rapid transversal analysis performed in as little as 2 hours.
Multimodal biosensors simultaneously assess taxon, viability, and gene expression at the single-cell level.

Main Results:

MBioTA achieves rapid transversal analysis of microbiota composition, viability, and functionality.
Automated image processing enables quantification of bacteria with sensitivity down to 0.0075%, suitable for low biomass samples.
Platform demonstrated applicability in analyzing gut microbiota in a familial Alzheimer's disease mouse model.

Conclusions:

MBioTA offers an effective, rapid, and scalable solution for comprehensive microbial characterization.
The platform's capabilities can significantly advance basic research and clinical diagnostics.
MBioTA has the potential to revolutionize the understanding and management of diseases linked to microbe-host interactions.