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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Cellular architecture of evolving inflammatory lesions and multiple sclerosis pathology

Authors: M. Langseth, Christoffer; Kukanja, Petra; A. Rubio Rodríguez-Kirby, Leslie; Zheng, Chao; Agirre, Eneritz; Raman, Amitha; Yokota, Chika; +7 Authors

Cellular architecture of evolving inflammatory lesions and multiple sclerosis pathology

Abstract

Multiple sclerosis (MS) is a neurological disease characterized by multifocal lesions and smoldering pathology. While single-cell analyses provided insights into cytopathology, evolving cellular processes underlying MS remain poorly understood. We modeled the cellular dynamics of MS by examining temporal and regional rates of disease progression in mouse experimental autoimmune encephalomyelitis. By performing single-cell spatial expression profiling using In situ sequencing, we annotated disease neighborhoods during lesion evolution and found centrifugal propagation of active lesions. We demonstrated that disease-associated (DA)-glia arise independently of lesions and are dynamically induced and resolved over the disease course. Single-cell spatial mapping of human archival MS spinal cords confirmed the differential distribution of homeostatic and DA-glia, enabled deconvolution of active and inactive lesions into sub-compartments, and identified new lesion areas. By establishing a spatial resource of mouse and human MS neuropathology at a single-cell resolution, our study unveils the intricate cellular dynamics underlying MS evolution.

Keywords

neurodegenerative disease, spatial transcriptomics, xenium, experimental autoimmune encephalomyelitis, 10x genomics, in situ sequencing, multiple sclerosis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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