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Infection and immunity
07 18, 2023;91 (7): e0044222.

Microbial Pathogenesis in the Era of Spatial Omics.

Samantha Lempke, Dana May, Sarah E Ewald
Author Information
  1. Samantha Lempke: Department of Microbiology, Immunology, and Cancer Biology at the Carter Immunology Center, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
  2. Dana May: Department of Microbiology, Immunology, and Cancer Biology at the Carter Immunology Center, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
  3. Sarah E Ewald: Department of Microbiology, Immunology, and Cancer Biology at the Carter Immunology Center, University of Virginia School of Medicine, Charlottesville, Virginia, USA. ORCID
PMID: 37255461 DOI: 10.1128/iai.00442-22

Abstract

The biology of a cell, whether it is a unicellular organism or part of a multicellular network, is influenced by cell type, temporal changes in cell state, and the cell's environment. Spatial cues play a critical role in the regulation of microbial pathogenesis strategies. Information about where the pathogen is-in a tissue or in proximity to a host cell-regulates gene expression and the compartmentalization of gene products in the microbe and the host. Our understanding of host and pathogen identity has bloomed with the accessibility of transcriptomics and proteomics techniques. A missing piece of the puzzle has been our ability to evaluate global transcript and protein expression in the context of the subcellular niche, primary cell, or native tissue environment during infection. This barrier is now lower with the advent of new spatial omics techniques to understand how location regulates cellular functions. This review will discuss how recent advances in spatial proteomics and transcriptomics approaches can address outstanding questions in microbial pathogenesis.

Keywords

host-pathogen interactions microbial pathogenesis spatial proteomics spatial transcriptomics

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Grants

  1. T32 AI007496/NIAID NIH HHS
  2. T32 AI007046/NIAID NIH HHS
  3. R35 GM138381/NIGMS NIH HHS
  4. T32 AI055432/NIAID NIH HHS
  5. R21 AI156153/NIAID NIH HHS

MeSH Term

Host-Pathogen Interactions
Proteomics
Gene Expression Profiling
Protein Processing, Post-Translational
Journal Article Review Research Support, N.I.H., Extramural
Article has an altmetric score of 9

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