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The landscape of myeloid and astrocyte phenotypes in acute multiple sclerosis lesions
by
Segal, Benjamin M
, Levine-Ritterman, Maya
, Park, Calvin
, Ponath, Gerald
, Swanson, Eric C
, Pitt, David
, Bull, Edward
, De Jager, Philip L
in
Astrocytes
/ Computer applications
/ Cytometry
/ Demyelination
/ Immunology
/ Multiple sclerosis
/ Myeloid cells
/ Phenotypes
/ Therapeutic applications
2019
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The landscape of myeloid and astrocyte phenotypes in acute multiple sclerosis lesions
by
Segal, Benjamin M
, Levine-Ritterman, Maya
, Park, Calvin
, Ponath, Gerald
, Swanson, Eric C
, Pitt, David
, Bull, Edward
, De Jager, Philip L
in
Astrocytes
/ Computer applications
/ Cytometry
/ Demyelination
/ Immunology
/ Multiple sclerosis
/ Myeloid cells
/ Phenotypes
/ Therapeutic applications
2019
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
The landscape of myeloid and astrocyte phenotypes in acute multiple sclerosis lesions
by
Segal, Benjamin M
, Levine-Ritterman, Maya
, Park, Calvin
, Ponath, Gerald
, Swanson, Eric C
, Pitt, David
, Bull, Edward
, De Jager, Philip L
in
Astrocytes
/ Computer applications
/ Cytometry
/ Demyelination
/ Immunology
/ Multiple sclerosis
/ Myeloid cells
/ Phenotypes
/ Therapeutic applications
2019
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The landscape of myeloid and astrocyte phenotypes in acute multiple sclerosis lesions
Paper
The landscape of myeloid and astrocyte phenotypes in acute multiple sclerosis lesions
2019
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Overview
Activated myeloid cells and astrocytes are the predominant cell types in active multiple sclerosis (MS) lesions. Both cell types can adopt diverse functional states that play critical roles in lesion formation and resolution. In order to identify phenotypic subsets of myeloid cells and astrocytes, we profiled acute MS lesions with thirteen glial activation markers using imaging mass cytometry (IMC), a method for multiplexed labeling of histological sections. In a demyelinating lesion, we found multiple distinct myeloid and astrocyte phenotypes that populated separate lesion zones. In a post-demyelinating lesion, phenotypes were less distinct and more uniformly distributed. In both lesions cell-to-cell interactions were not random, but occurred between specific glial subpopulations and lymphocytes. Finally, we demonstrated that myeloid, but not astrocyte phenotypes were activated along a lesion rim-to-center gradient, and that marker expression in glial cells at the lesion rim was driven more by cell-extrinsic factors than in cells at the center. This proof-of-concept study demonstrates that highly multiplexed tissue imaging, combined with the appropriate computational tools, is a powerful approach to study heterogeneity, spatial distribution and cellular interactions in the context of MS lesions. Identifying glial phenotypes and their interactions at different lesion stages may provide novel therapeutic targets for inhibiting acute demyelination and low-grade, chronic inflammation. Footnotes * https://github.com/PittLab/IMC_Park_et_al_2019
Publisher
Cold Spring Harbor Laboratory Press,Cold Spring Harbor Laboratory
Subject
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