Spatial transcriptomics defines the cell-specific RNA landscape of equine dorsal root ganglia

Equine spinal neurodegenerative conditions are frequently encountered in sport and racing horses and may be career-ending diagnoses. To further define the spatial transcriptomic landscape of equine dorsal root ganglia (DRG) in healthy adult horses, we investigated gene expression differences in distinct DRG regions using the GeoMx Digital Spatial Profiling from NanoString. Four human cell markers demonstrated high fidelity for equine cells; microtubule-associated protein 2 (MAP2), myelin basic protein (MBP), allograft inflammatory 104 factor 1/ionized calcium-binding adaptor molecule 1 (IBA1/AIF1), and Syto83 nuclear marker. Geometric regions of interest were then selected as MBP-rich, IBA1-high, and IBA1-low, and gene expression was compared. Experimental validation was achieved, with genes involved in myelination enriched in MBP-rich regions, and the identification of glia-specific genes enriched in IBA1-high regions. Thus, spatial transcriptomics with human cell markers was successful in equine DRG and can now be applied to determine cell-specific transcriptional changes during disease states.

Authors

Institutions

Publication Details

Journal
Veterinary Pathology
Published
2025-02-06
DOI
https://doi.org/10.1177/03009858241312623
Citations
1
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.94

Funders

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

Spatial transcriptomics defines the cell-specific RNA landscape of equine dorsal root ganglia

Verena K. Affolter, Carrie J. Finno, Andrew D. Miller, Callum George Donnelly et al.
1 citations
Veterinary Pathology
Cancer-related molecular mechanisms research
0.94
article

Spatial transcriptomics defines the cell-specific RNA landscape of equine dorsal root ganglia

Verena K. Affolter, Carrie J. Finno, Andrew D. Miller, Callum George Donnelly, Kevin Woolard, Rebecca R. Bellone, Jessica L. Petersen, Stefan-Laural Rogers
article en
1 citations

Abstract

Equine spinal neurodegenerative conditions are frequently encountered in sport and racing horses and may be career-ending diagnoses. To further define the spatial transcriptomic landscape of equine dorsal root ganglia (DRG) in healthy adult horses, we investigated gene expression differences in distinct DRG regions using the GeoMx Digital Spatial Profiling from NanoString. Four human cell markers demonstrated high fidelity for equine cells; microtubule-associated protein 2 (MAP2), myelin basic protein (MBP), allograft inflammatory 104 factor 1/ionized calcium-binding adaptor molecule 1 (IBA1/AIF1), and Syto83 nuclear marker. Geometric regions of interest were then selected as MBP-rich, IBA1-high, and IBA1-low, and gene expression was compared. Experimental validation was achieved, with genes involved in myelination enriched in MBP-rich regions, and the identification of glia-specific genes enriched in IBA1-high regions. Thus, spatial transcriptomics with human cell markers was successful in equine DRG and can now be applied to determine cell-specific transcriptional changes during disease states.

Veterinary PathologyVol. 62(4)
University of Nebraska–Lincoln (US), Cornell University (US), Nanostring Technologies (United States) (US), University of California, Davis (US)
U.S. Department of Agriculture, Grayson-Jockey Club Research Foundation, National Institutes of Health, National Institute of Food and Agriculture, University of California, Davis, National Center for Advancing Translational Sciences, UC Davis Center for Equine Health
Good health and well-being
Openalex Percentile: Top 29%
Cancer-related molecular mechanisms research
0.94
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.