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Series GSE156683 Query DataSets for GSE156683
Status Public on Oct 12, 2020
Title Epigenomic Landscape of Mouse Brain by Single Nucleus Methylation Sequencing [CEMBA snm3C-seq]
Organism Mus musculus
Experiment type Methylation profiling by high throughput sequencing
Other
Summary Illustrating the cellular architecture of the mammalian brain is critical to understanding its diverse functions and complex animal behaviors. With support from NIMH and NINDS as part of the BRAIN Initiative Cell Census Network (BICCN), the Center for Epigenomics of the Mouse Brain Atlas (CEMBA) applied single nucleus methylation sequencing in 118 (45 in the current release) brain funtional regions across the whole adult male P56 C57BL/6J mouse brain. In each major brain regions, we identified distinct cell clusters and formed them in a hierarchical taxonomy. These clusters include known primary brain cell types and possible sub-types. We use these data to identify the epigenomic characteristics and to define specific regulatory elements for each cell cluster. We integrate the single cell methylome with single cell gene expression and chromatin accessibility profiles from the same brain region to further identify potential enhancers and their corresponding genes for several neuronal cell types. By brain region spacial comparisons, we found spatial specificity among excitatory neuronal clusters within the same cortical layer. We identify brain-region-specific transcription factors that may regulate cortical region development of excitatory neurons. These data define the landscape of cell type and spatial heterogeneity in the mouse brain and the underlining regulatory epigenomic basis.
 
Overall design This subseries consists of snm3C-seq data from hippocampus.
 
Contributor(s) Liu H, Luo C, Rivkin A, Bartlett A, Lucero J, Nery JR, Aldridge A, Castanon R, He Y, Chen H, Zhang Z, Zhou J, Ren B, Mukamel EA, Behrens MM, Clock B, Dixon JR, Ecker JR
Citation(s) 34616061
Submission date Aug 22, 2020
Last update date Oct 15, 2021
Contact name Joseph R Ecker
E-mail(s) ecker@salk.edu
Phone 8584534100
Organization name HHMI-Salk-Institute
Department Genomic Analysis Laboratory
Lab Ecker lab
Street address 10010 North Torrey Pines Road
City La Jolla
State/province CA
ZIP/Postal code 92037
Country USA
 
Platforms (1)
GPL24247 Illumina NovaSeq 6000 (Mus musculus)
Samples (5398)
GSM4736679 191216-CEMBA-mm-P56-CEMBA191126-9J-1-CEMBA191126-9J-2-A10_ad010
GSM4736680 191216-CEMBA-mm-P56-CEMBA191126-9J-1-CEMBA191126-9J-2-A10_ad001
GSM4736681 191216-CEMBA-mm-P56-CEMBA191126-9J-1-CEMBA191126-9J-2-A10_ad007
Relations
BioProject PRJNA658701
SRA SRP278507

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
GSE156683_RAW.tar 601.8 Gb (http)(custom) TAR (of TSV, TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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