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Updated: Apr 14, 2026
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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
Published on: October 15, 2019
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Integrating host gene expression and the microbiome to explore disease pathogenesis.
Allyson L Byrd1, Julia A Segre2
1Microbial Genomics Section, Translational and Functional Genomics Branch, National Human Genome Research Institute, Bethesda, MD, 20892, USA. allyson.byrd@nih.gov.
Genome Biology
|April 19, 2015
Summary
This study integrates clinical data, host gene expression, and microbial sequencing to create a framework for understanding inflammatory disease causes and progression. This approach aids in exploring disease etiology and patient outcomes.
Area of Science:
- Integrative biology
- Human disease research
- Inflammatory disease studies
Background:
- Understanding the etiology and outcomes of human inflammatory diseases requires multifaceted approaches.
- Existing research often analyzes host factors or microbial factors in isolation.
Purpose of the Study:
- To develop a comprehensive framework for exploring disease etiology and outcomes in human inflammatory disease.
- To integrate rich clinical assessment, longitudinal study design, host gene expression, and microbial sequencing.
Main Methods:
- Longitudinal study design incorporating rich clinical assessments.
- Host gene expression profiling.
- Microbial sequencing analysis (metagenomics).
Main Results:
- A novel framework was developed by combining clinical, host genetic, and microbial data.
- The framework allows for a holistic exploration of inflammatory disease.
- Potential for improved understanding of disease drivers and patient trajectories.
Conclusions:
- Integrating diverse data types provides a powerful approach to studying complex diseases.
- This framework can advance the investigation of human inflammatory disease etiology and outcomes.
- Future research can utilize this integrated methodology for deeper insights.
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