scholarly journals Single-cell RNA-seq analysis of human CSF microglia and myeloid cells in neuroinflammation

2020 ◽  
Vol 7 (4) ◽  
pp. e732 ◽  
Author(s):  
Ekaterina Esaulova ◽  
Claudia Cantoni ◽  
Irina Shchukina ◽  
Konstantin Zaitsev ◽  
Robert C. Bucelli ◽  
...  

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.

PLoS ONE ◽  
2020 ◽  
Vol 15 (10) ◽  
pp. e0240233
Author(s):  
Luca Galbusera ◽  
Gwendoline Bellement-Theroue ◽  
Arantxa Urchueguia ◽  
Thomas Julou ◽  
Erik van Nimwegen

2010 ◽  
Vol 18 (4) ◽  
pp. 675-685 ◽  
Author(s):  
Guoji Guo ◽  
Mikael Huss ◽  
Guo Qing Tong ◽  
Chaoyang Wang ◽  
Li Li Sun ◽  
...  

2013 ◽  
Vol 15 (4) ◽  
pp. 363-372 ◽  
Author(s):  
Victoria Moignard ◽  
Iain C. Macaulay ◽  
Gemma Swiers ◽  
Florian Buettner ◽  
Judith Schütte ◽  
...  

Blood ◽  
2017 ◽  
Vol 129 (17) ◽  
pp. 2384-2394 ◽  
Author(s):  
Rebecca Warfvinge ◽  
Linda Geironson ◽  
Mikael N. E. Sommarin ◽  
Stefan Lang ◽  
Christine Karlsson ◽  
...  

Key Points Single-cell gene expression analysis reveals CML stem cell heterogeneity and changes imposed by TKI therapy. A subpopulation with primitive, quiescent signature and increased survival to therapy can be high-purity captured as CD45RA−cKIT−CD26+.


2017 ◽  
Vol 97 (1) ◽  
pp. 5-17 ◽  
Author(s):  
Qingqing Wei ◽  
Liang Zhong ◽  
Shaopeng Zhang ◽  
Haiyuan Mu ◽  
Jinzhu Xiang ◽  
...  

RSC Advances ◽  
2015 ◽  
Vol 5 (7) ◽  
pp. 4886-4893 ◽  
Author(s):  
Hao Sun ◽  
Tim Olsen ◽  
Jing Zhu ◽  
Jianguo Tao ◽  
Brian Ponnaiya ◽  
...  

Gene expression analysis at the single-cell level is critical to understanding variations among cells in heterogeneous populations.


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