TY - JOUR
T1 - Single-cell RNA-seq analysis of human CSF microglia and myeloid cells in neuroinflammation
AU - Esaulova, Ekaterina
AU - Cantoni, Claudia
AU - Shchukina, Irina
AU - Zaitsev, Konstantin
AU - Bucelli, Robert C.
AU - Wu, Gregory F.
AU - Artyomov, Maxim N.
AU - Cross, Anne H.
AU - Edelson, Brian T.
N1 - Publisher Copyright:
© American Academy of Neurology.
PY - 2020/7/5
Y1 - 2020/7/5
N2 - ObjectiveTo identify and characterize myeloid cell populations within the CSF of patients with MS and anti-myelin oligodendrocyte glycoprotein (MOG) disorder by high-resolution single-cell gene expression analysis.MethodsSingle-cell RNA sequencing (scRNA-seq) was used to profile individual cells of CSF and blood from 2 subjects with relapsing-remitting MS (RRMS) and one with anti-MOG disorder. Publicly available scRNA-seq data from the blood and CSF of 2 subjects with HIV were also analyzed. An informatics pipeline was used to cluster cell populations by transcriptomic profiling. Based on gene expression by CSF myeloid cells, a flow cytometry panel was devised to examine myeloid cell populations from the CSF of 11 additional subjects, including individuals with RRMS, anti-MOG disorder, and control subjects without inflammatory demyelination.ResultsCommon myeloid populations were identified within the CSF of subjects with RRMS, anti-MOG disorder, and HIV. These included monocytes, conventional and plasmacytoid dendritic cells, and cells with a transcriptomic signature matching microglia. Microglia could be discriminated from other myeloid cell populations in the CSF by flow cytometry.ConclusionsHigh-resolution single-cell gene expression analysis clearly distinguishes distinct myeloid cell types present within the CSF of subjects with neuroinflammation. A population of microglia exists within the human CSF, which is detectable by surface protein expression. The function of these cells during immunity and disease requires further investigation.
AB - ObjectiveTo identify and characterize myeloid cell populations within the CSF of patients with MS and anti-myelin oligodendrocyte glycoprotein (MOG) disorder by high-resolution single-cell gene expression analysis.MethodsSingle-cell RNA sequencing (scRNA-seq) was used to profile individual cells of CSF and blood from 2 subjects with relapsing-remitting MS (RRMS) and one with anti-MOG disorder. Publicly available scRNA-seq data from the blood and CSF of 2 subjects with HIV were also analyzed. An informatics pipeline was used to cluster cell populations by transcriptomic profiling. Based on gene expression by CSF myeloid cells, a flow cytometry panel was devised to examine myeloid cell populations from the CSF of 11 additional subjects, including individuals with RRMS, anti-MOG disorder, and control subjects without inflammatory demyelination.ResultsCommon myeloid populations were identified within the CSF of subjects with RRMS, anti-MOG disorder, and HIV. These included monocytes, conventional and plasmacytoid dendritic cells, and cells with a transcriptomic signature matching microglia. Microglia could be discriminated from other myeloid cell populations in the CSF by flow cytometry.ConclusionsHigh-resolution single-cell gene expression analysis clearly distinguishes distinct myeloid cell types present within the CSF of subjects with neuroinflammation. A population of microglia exists within the human CSF, which is detectable by surface protein expression. The function of these cells during immunity and disease requires further investigation.
UR - http://www.scopus.com/inward/record.url?scp=85084328296&partnerID=8YFLogxK
U2 - 10.1212/NXI.0000000000000732
DO - 10.1212/NXI.0000000000000732
M3 - Article
C2 - 32371549
AN - SCOPUS:85084328296
SN - 2332-7812
VL - 7
JO - Neurology: Neuroimmunology and NeuroInflammation
JF - Neurology: Neuroimmunology and NeuroInflammation
IS - 4
M1 - e732
ER -