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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
Published on: October 15, 2019
Functional metagenomics: a high throughput screening method to decipher microbiota-driven NF-κB modulation in the
Omar Lakhdari1, Antonietta Cultrone, Julien Tap
1INRA, UMR 1319 Micalis, Jouy-en-Josas, France.
Plos One
|October 8, 2010
Summary
Researchers developed a high-throughput screening assay to identify bacterial genes regulating NF-κB signaling in intestinal epithelial cells. This method aids in discovering novel therapeutic targets within the human gut microbiota.
Area of Science:
- Microbiology
- Immunology
- Molecular Biology
Background:
- The human intestinal microbiota influences mucosal immune responses.
- Understanding interactions between intestinal epithelial cells (IECs) and commensal bacteria is crucial.
- Metagenomics provides access to genomes of uncultured microbes.
Purpose of the Study:
- To identify bacterial genes involved in regulating NF-κB signaling in IECs.
- To develop a functional metagenomic approach for studying IEC-bacterial interactions.
- To screen human intestinal microbiota metagenomic libraries for NF-κB modulators.
Main Methods:
- Established a high-throughput cell-based screening assay using a reporter-gene strategy.
- Utilized a reporter clone (HT-29/kb-seap-25) transfected with SEAP gene under NF-κB control.
- Screened metagenomic libraries from Crohn's disease patients and analyzed positive clones via sequencing and mutagenesis.
Main Results:
- The reporter system successfully detected NF-κB pathway activation by TNF-α and IL-1β.
- Screening identified 171 modulating clones out of 2640, including one stimulatory clone (52B7).
- Clone 52B7, potentially from a novel Bacteroides strain, showed identified loci for an ABC transport system and a putative lipoprotein.
Conclusions:
- A robust high-throughput screening assay for metagenomic libraries was established.
- This assay enables the study of bacteria-driven NF-κB regulation in IECs.
- The approach facilitates the identification of bacterial strains and molecular patterns with therapeutic potential.
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