NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE114000 Query DataSets for GSE114000
Status Public on Dec 13, 2019
Title Identification of region-specific astrocyte subtypes at single cell resolution
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Astrocytes, a major cell type found throughout the central nervous system, have general roles in the modulation of synapse formation and synaptic transmission, blood-brain-barrier formation and regulation of blood flow, as well as metabolic support of other brain resident cells. To investigate the true extent of astrocyte molecular diversity across forebrain regions, we used single cell RNA sequencing and generated a database containing ~2000 astrocytes. Our analysis identifies five transcriptomically distinct astrocyte subtypes in adult mouse cortex and hippocampus. Validation of our data in situ reveals distinct spatial positioning of defined subtypes, reflecting the distribution of morphologically and physiologically distinct astrocyte populations. Our findings are evidence for specialized astrocyte subtypes between and within brain regions.
 
Overall design Single cell suspension for hippocampus and cortex from P56 C57/Bl6 mice was obtained using a papain-based protocol. A Percoll gradient was used to remove myelin. Astrocytes were then labeled with the ACSA-2 antibody (conjugated to the fluorophore phycoerythrin: PE which specifically recognizes the plasma membrane marker ATP1B2). Cells were isolated by FACS, with one cell deposited per single well of a PCR plate. Preparation of sequencing libraries was done using the optimized Smart-seq2 protocol. Libraries were sequenced using an Illumina NextSeq 500 system (75bp paired-end reads) to optimal coverage (~1 million reads per cell). Sequencing reads were mapped against mouse reference genome M12 (GRCm38.p5), modified to take ERCC sequences into account using STAR 2.5.2b. Output alignment BAM files were then merged and sorted using Samtools version 1.4. Gene counts were generated using HTSeq version 0.6.1p1. Low quality libraries were removed based on FastQC and additional quality metrics.
Web link https://holt-sc.glialab.org/
 
Citation(s) 32139688
Submission date May 03, 2018
Last update date Mar 13, 2020
Contact name Araks Martirosyan
E-mail(s) arax.martirosyan@gmail.com
Phone 0032495646016
Organization name VIB-KU Leuven
Department Center for Brain & Disease Research
Lab Laboratory of Glia Biology
Street address Herestraat 49
City Leuven
ZIP/Postal code 3000
Country Belgium
 
Platforms (1)
GPL19057 Illumina NextSeq 500 (Mus musculus)
Samples (2031)
GSM3128337 105A10_S169
GSM3128338 105A11_S177
GSM3128339 105A12_S185
Relations
BioProject PRJNA459483
SRA SRP144582

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE114000_Counts_Batiuk_Martirosyan_Supplementary_Data3.tsv.gz 11.9 Mb (ftp)(http) TSV
GSE114000_Metadata_Batiuk_Martirosyan_Supplementary_Data1.xlsx 130.9 Kb (ftp)(http) XLSX
GSE114000_RAW.tar 316.2 Mb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap