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A 4D transcriptomic map for the evolution of multiple sclerosis-like lesions in the marmoset brain [preprint]

Lin, Jing-Ping
Brake, Alexis
Donadieu, Maxime
Lee, Amanda
Kawaguchi, Riki
Sati, Pascal
Geschwind, Daniel H
Jacobson, Steven
Schafer, Dorothy P
Reich, Daniel S
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Abstract

Single-time-point histopathological studies on postmortem multiple sclerosis (MS) tissue fail to capture lesion evolution dynamics, posing challenges for therapy development targeting development and repair of focal inflammatory demyelination. To close this gap, we studied experimental autoimmune encephalitis (EAE) in the common marmoset, the most faithful animal model of these processes. Using MRI-informed RNA profiling, we analyzed ~600,000 single-nucleus and ~55,000 spatial transcriptomes, comparing them against EAE inoculation status, longitudinal radiological signals, and histopathological features. We categorized 5 groups of microenvironments pertinent to neural function, immune and glial responses, tissue destruction and repair, and regulatory network at brain borders. Exploring perilesional microenvironment diversity, we uncovered central roles of EAE-associated astrocytes, oligodendrocyte precursor cells, and ependyma in lesion formation and resolution. We pinpointed imaging and molecular features capturing the pathological trajectory of WM, offering potential for assessing treatment outcomes using marmoset as a platform.

Source

Lin JP, Brake A, Donadieu M, Lee A, Kawaguchi R, Sati P, Geschwind DH, Jacobson S, Schafer DP, Reich DS. A 4D transcriptomic map for the evolution of multiple sclerosis-like lesions in the marmoset brain. bioRxiv [Preprint]. 2023 Sep 27:2023.09.25.559371. doi: 10.1101/2023.09.25.559371. PMID: 37808784; PMCID: PMC10557631.

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10.1101/2023.09.25.559371
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37808784
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This article is a preprint. Preprints are preliminary reports of work that have not been certified by peer review.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license.; CC0 1.0 Universal