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Series GSE135437 Query DataSets for GSE135437
Status Public on Nov 18, 2019
Title Mapping microglia diversity in the human brain through the integration of high-dimensional techniques
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Microglia are tissue-resident macrophages of the central nervous system (CNS) that orchestrate local immune responses and contribute to several neurological and psychiatric diseases. Little is known about human microglia and how they orchestrate their highly plastic, context-specific adaptive responses during pathology. Here, we combined two high-dimensional technologies, single-cell RNA-sequencing (scRNA-seq) and time-of-flight mass cytometry (CyTOF), to identify microglia states in the human brain during homeostasis and disease. This approach enabled us to identify and characterize a previously unappreciated spectrum of transcriptional states in human microglia. These transcriptional states are determined by their spatial distribution, and they further change with aging and brain tumor pathology. The description of multiple microglia phenotypes in the human CNS may open promising new avenues for subset-specific therapeutic interventions.
 
Overall design Human surgery samples from controls and Glioblastoma multiforme patients were collected prospectively, FACS sorted on lineage-negative live CD45-positive cells and sequenced using the mCEL-Seq2 protocol.
 
Contributor(s) Sankowski R, Sagar S, Gruen D, Prinz M
Citation(s) 31740814
Submission date Aug 06, 2019
Last update date Nov 21, 2019
Contact name Sagar -
E-mail(s) sagar@uniklinik-freiburg.de
Organization name University Medical Center Freiburg
Department Department of Internal Medicine II
Lab Sagar
Street address Hugstetter Stra├če 55
City Freiburg
ZIP/Postal code 79106
Country Germany
 
Platforms (1)
GPL21290 Illumina HiSeq 3000 (Homo sapiens)
Samples (66)
GSM4008952 GBM1_1_5
GSM4008953 GBM1_2_6
GSM4008954 GBM2_GBM_1_5
Relations
BioProject PRJNA558893
SRA SRP217528

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Supplementary file Size Download File type/resource
GSE135437_RAW.tar 24.6 Mb (http)(custom) TAR (of TSV)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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