Heterogeneity of bacterial host-pathogen interactions across biological scales

, we discuss how stochastic gene expression, intrinsic and extrinsic factors, as well as tissue context shape the variable activation of the immune responses and ultimately determine the outcomes of host-pathogen interactions. We argue that the outcome of single-cell interactions is shaped by a combination of host states, bacterial-intrinsic features, and the local microenvironment. We further discuss how computational and mathematical modeling can integrate these heterogeneous single-cell events across spatial scales, linking intracellular variability with tissue-level pathogenesis and progression of infection. Gaining insight into and controlling these layers of variability holds promise for the development of more precise, context-dependent antimicrobial strategies.

Authors

Institutions

Publication Details

Journal
mSystems
Published
2026-03-31
DOI
https://doi.org/10.1128/msystems.01804-25
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Heterogeneity of bacterial host-pathogen interactions across biological scales

Juan Alfonso Redondo, Pawel Paszek, Niharika Purkait
mSystems
Single-cell and spatial transcriptomics
article

Heterogeneity of bacterial host-pathogen interactions across biological scales

Juan Alfonso Redondo, Pawel Paszek, Niharika Purkait
article en

Abstract

, we discuss how stochastic gene expression, intrinsic and extrinsic factors, as well as tissue context shape the variable activation of the immune responses and ultimately determine the outcomes of host-pathogen interactions. We argue that the outcome of single-cell interactions is shaped by a combination of host states, bacterial-intrinsic features, and the local microenvironment. We further discuss how computational and mathematical modeling can integrate these heterogeneous single-cell events across spatial scales, linking intracellular variability with tissue-level pathogenesis and progression of infection. Gaining insight into and controlling these layers of variability holds promise for the development of more precise, context-dependent antimicrobial strategies.

mSystemsVol. 11(4)
Institute of Fundamental Technological Research (PL), Centre for Inflammation Research (GB), Institute of Infection and Immunity (CA), Polish Academy of Sciences (PL)
Narodowe Centrum Nauki, Narodowa Agencja Wymiany Akademickiej
Openalex Percentile: Top 36%
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.