The Burkholderia pseudomallei intracellular 'TRANSITome'
Yun Heacock-Kang1, Ian A McMillan1, Michael H Norris1,2
1School of Life Sciences, University of Hawai'i at Mānoa, Honolulu, HI, USA.
Nature Communications
|March 27, 2021
Summary
This study introduces a novel TRANSITomic approach for single prokaryotic cell transcriptomics. It reveals three infection stages for Burkholderia pseudomallei, offering insights into host-pathogen interactions.
Area of Science:
- Microbiology
- Genomics
- Infectious Diseases
Background:
- Prokaryotic cell transcriptomics traditionally analyzes mixed populations, limiting understanding of individual cell behavior.
- Spatiotemporal and stage-specific processes in complex environments remain poorly understood.
- Single-cell analysis is crucial for dissecting heterogeneous prokaryotic populations.
Purpose of the Study:
- To develop a TRANSITomic approach for single-cell transcriptomics in prokaryotes.
- To profile the transcriptome of Burkholderia pseudomallei during host cell infection.
- To gain pathophysiological insights into host-pathogen interactions at a single-cell level.
Main Methods:
- Development of the 'TRANSITomic' approach for single-cell transcriptomics.
- Profiling transcriptomes of individual Burkholderia pseudomallei cells during host cell infection.
- Identification of gene expression dynamics and virulence factors.
Main Results:
- Identified three distinct stages of Burkholderia pseudomallei transit within host cells: vacuole entry, cytoplasmic escape/replication, and membrane protrusion for cell-to-cell spread.
- Revealed dynamic gene expression flux during host cell transit.
- Identified essential genes and hypothetical proteins involved in virulence, including attachment, cytoskeletal modulation, and autophagy evasion.
Conclusions:
- The TRANSITomic approach enables high-resolution prokaryotic single-cell transcriptomics.
- Provides a detailed understanding of Burkholderia pseudomallei infection dynamics and virulence mechanisms.
- Advances the study of host-pathogen interactions by offering single-cell resolution.
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