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Series GSE163764 Query DataSets for GSE163764
Status Public on Dec 24, 2020
Title Phenotypic variation within and across transcriptomic cell types in mouse motor cortex
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Cortical neurons exhibit astounding diversity in gene expression as well as in morphological and electrophysiological properties. Most existing neural taxonomies are based on either transcriptomic or morpho-electric criteria, as it has been technically challenging to study both aspects of neuronal diversity in the same set of cells. Here we used Patch-seq to combine patch-clamp recording, biocytin staining, and single-cell RNA sequencing of over 1300 neurons in adult mouse motor cortex, providing a comprehensive morpho-electric annotation of almost all transcriptomically defined neural cell types. We found that, although broad families of transcriptomic types (Vip, Pvalb, Sst, etc.) had distinct and essentially non-overlapping morpho-electric phenotypes, individual transcriptomic types within the same family were not well-separated in the morpho-electric space. Instead, there was a continuum of variability in morphology and electrophysiology, with neighbouring transcriptomic cell types showing similar morpho-electric features, often without clear boundaries between them. Our results suggest that neural types in the neocortex do not always form discrete entities. Instead, neurons follow a hierarchy consisting of distinct non-overlapping branches at the level of families, but can form continuous and correlated transcriptomic and morpho-electrical landscapes within families.
 
Overall design Neurons from all layers of primary mouse motor cortex were profiled transcriptomically, electrophysiologically and morphologically using Patch-seq, using various Cre-driver lines to ensure a diverse sampling of known cell types. Neurons in acute slices were patch-clamped and stimulated with brief current impulses to record their electrophysiological activity, filled with biocytin for subsequent morphological recovery and reconstruction, and their RNA was extracted and sequenced.
 
Contributor(s) Hartmanis L, Sandberg R
Citation(s) 33184512
Submission date Dec 23, 2020
Last update date Feb 18, 2021
Contact name Leonard Hartmanis
E-mail(s) leonard.hartmanis@ki.se
Organization name Karolinska Institutet
Department Cell & Molecular Biology
Lab Sandberg Lab
Street address Solnavägen 9
City Solna
ZIP/Postal code 17165
Country Sweden
 
Platforms (1)
GPL19057 Illumina NextSeq 500 (Mus musculus)
Samples (1505)
GSM4985196 20171204_sample_2
GSM4985197 20171204_sample_4
GSM4985198 20171204_sample_5
Relations
BioProject PRJNA687490
SRA SRP299088

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
GSE163764_m1_patchseq_exon_counts.csv.gz 15.9 Mb (ftp)(http) CSV
GSE163764_m1_patchseq_intron_counts.csv.gz 11.4 Mb (ftp)(http) CSV
GSE163764_m1_patchseq_phys_temp_exon_counts.csv.gz 2.5 Mb (ftp)(http) CSV
GSE163764_m1_patchseq_phys_temp_intron_counts.csv.gz 1.5 Mb (ftp)(http) CSV
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Raw data are available in SRA
Processed data are available on Series record

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