Protocol for dual spatial transcriptomic profiling of infected tissues

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Authors: Hao Xuan Zhou, Ankush Tyagi, Maxine A. McClain, Esperanza Anguiano, Serena Abbondante, Eric M. Pearlman, Mihaela G. Gadjeva
Cited by: 1
References: 9

Abstract

Dual spatial transcriptomics analysis offers profiling of host- and pathogen-specific transcriptional patterns in infected tissues to establish pathoadaptation signatures and predict infection outcomes. Here, we present a protocol for tissue processing, imaging, selection of regions of interest, library preparation, sequencing, and analysis pipeline. This protocol has a potential application for the analysis of any infected tissue. For complete details on the use and execution of this protocol, please refer to Zhou et al. 1 • Maps host and pathogen transcripts in the same tissue sections • Works on FFPE slides with WTA and custom pathogen probes • Defines ROI by GeoMx and yields high-depth, high-quality libraries • Links host profiles to local bacterial burden using machine learning Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. Dual spatial transcriptomics analysis offers profiling of host- and pathogen-specific transcriptional patterns in infected tissues to establish pathoadaptation signatures and predict infection outcomes. Here, we present a protocol for tissue processing, imaging, selection of regions of interest, library preparation, sequencing, and analysis pipeline. This protocol has a potential application for the analysis of any infected tissue.

Fields of Study & Subjects

Single-cell and spatial transcriptomics Orthopedic Infections and Treatments Neutrophil Myeloperoxidase and Oxidative Mechanisms

Publication details

Journal / source
STAR Protocols
Publisher
Elsevier BV
Volume
7
Issue
1
Pages
104282–104282
Publication date
14 January 2026
Language
EN