Related Experiment Video
Updated: Jun 27, 2026

09:19
Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
Published on: July 6, 2022
ProbeST: a custom probe design pipeline for dual host-pathogen Spatial Transcriptomics
Sofia Rouot1, Ireen van Dolderen1,2, Patrick Rosendahl Andreassen3,4
1SciLifeLab, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
BMC Genomics
|June 25, 2026
Summary
ProbeST is an open-source pipeline enabling custom probe design for spatial transcriptomics in any organism. This expands the technique to non-model organisms and host-pathogen interaction studies.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Biology
Background:
- Probe-based Spatial Transcriptomics (ST) offers spatially-resolved transcriptome profiling.
- Current commercial probe sets limit ST applications primarily to human and mouse studies.
- A need exists for adaptable methods to apply ST to diverse organisms.
Purpose of the Study:
- To develop an open-source computational pipeline, ProbeST, for designing custom gene-specific probe sets.
- To enable the application of probe-based ST to non-model organisms.
- To facilitate studies of host-pathogen interactions using ST.
Main Methods:
- ProbeST pipeline development for custom probe set design.
- Validation using Formalin-fixed paraffin-embedded (FFPE) mouse enteroid models infected with Salmonella Typhimurium.
- Simultaneous detection of host and pathogen transcripts using custom and existing probe panels.
Main Results:
- ProbeST successfully designed custom pathogen probes for Salmonella Typhimurium.
- Simultaneous detection of host (Mefv, Tnf, Anxa1) and pathogen transcripts was achieved.
- High probe specificity and low sensitivity were observed, with identified host genes colocalizing with pathogen genes.
Conclusions:
- The ProbeST workflow is reproducible and expands probe-based ST capabilities.
- This computational tool democratizes ST for non-model organisms.
- ProbeST facilitates detailed spatial analysis of host-pathogen interactions.
