Neuroinflammation at single cell level: What is new?
Multiple sclerosis is a chronic and demyelinating disease of the central nervous system (CNS), most prevalent in women, and with an important social and economic cost worldwide. It is triggered by self-reacting lymphocytes that infiltrate the CNS and initiate neuroinflammation. Further, axonal loss and neuronal death takes place, leading to neurodegeneration and brain atrophy. The murine model for studying MS, experimental autoimmune encephalomyelitis (EAE), consists in immunizing mice with myelin-derived epitopes. APCs activate encephalitogenic T CD4 and CD8 lymphocytes that migrate mainly to the spinal cord resulting in neuroinflammation. Most of the knowledge on the pathophysiology and treatment of MS was obtained from EAE experiments, as Th17 cells, anti-alpha4 blocking Abs and the role of microbiota. Conversely, recent technology breakthroughs, such as CyTOF and single-cell RNA-seq, promise to revolutionize our understanding on the mechanisms involved both in MS and EAE. In fact, the importance of specific cellular populations and key molecules in MS/EAE is a constant matter of debate. It is well accepted that both Th1 and Th17 T CD4 lymphocytes play a relevant role in disease initiation after re-activation in situ. What is still under constant investigation, however, is the plasticity of the lymphocyte population, and the individual contribution of both resident and inflammatory cells for the progression or recovery of the disease. Thus, in this review, new findings obtained after single-cell analysis of blood and central nervous system infiltrating cells from MS/EAE and how they have contributed to a better knowledge on the cellular and molecular mechanisms of neuroinflammation are discussed.
Authors
W N Brandão; M G De Oliveira; R T Andreoni; Helder Nakaya; A S Farias; J P S Peron
External link
Publication Year
Publication Journal
Associeted Project
Microbiology or Immunology
Lista de serviços
-
StructRNAfinder: an automated pipeline and web server for RNA families prediction.StructRNAfinder: an automated pipeline and web server for RNA families prediction.
-
CEMiTool: a Bioconductor package for performing comprehensive modular co-expression analyses.CEMiTool: a Bioconductor package for performing comprehensive modular co-expression analyses.
-
webCEMiTool: Co-expression Modular Analysis Made Easy.webCEMiTool: Co-expression Modular Analysis Made Easy.
-
Assessing the Impact of Sample Heterogeneity on Transcriptome Analysis of Human Diseases Using MDP Webtool.Assessing the Impact of Sample Heterogeneity on Transcriptome Analysis of Human Diseases Using MDP Webtool.
-
Predicting RNA Families in Nucleotide Sequences Using StructRNAfinder.Predicting RNA Families in Nucleotide Sequences Using StructRNAfinder.
-
OUTBREAK: a user-friendly georeferencing online tool for disease surveillance.OUTBREAK: a user-friendly georeferencing online tool for disease surveillance.
-
Noninvasive prenatal paternity determination using microhaplotypes: a pilot study.Noninvasive prenatal paternity determination using microhaplotypes: a pilot study.
-
Editorial: User-Friendly Tools Applied to Genetics or Systems Biology.Editorial: User-Friendly Tools Applied to Genetics or Systems Biology.
-
Automatic detection of the parasite Trypanosoma cruzi in blood smears using a machine learning approach applied to mobile phone imagesAutomatic detection of the parasite Trypanosoma cruzi in blood smears using a machine learning approach applied to mobile phone images
-
Tucuxi-BLAST: Enabling fast and accurate record linkage of large-scale health-related administrative databases through a DNA-encoded approachTucuxi-BLAST: Enabling fast and accurate record linkage of large-scale health-related administrative databases through a DNA-encoded approach
-
Ten quick tips for harnessing the power of ChatGPT in computational biologyTen quick tips for harnessing the power of ChatGPT in computational biology