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Series GSE207128 Query DataSets for GSE207128
Status Public on Nov 08, 2023
Title Transcriptomic profiling of mouse amygdala during opioid dependence and withdrawal by single-cell RNA sequencing
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary The development of substance use disorder (SUD) is a complex process involving multiple neurocircuitries and brain regions. The amygdala is a region that mediates the withdrawal effect as well as anxiety and depression-like behaviors. However, the transcriptional changes in each cell type during SUD is largely unknown. Here we performed single-cell RNA sequencing and classified all cell types in the mouse amygdala under opioid dependence and withdrawal states. Our data revealed distinct changes in key biological processes, such as immune response, inflammation, synaptic transmission, and mitochondrial respiration in different cell populations. Dramatic differences were unraveled in the transcriptional profiles between dependence and withdrawal states. This report is the first single-cell RNA sequencing dataset from the amygdala under opioid dependence and withdrawal conditions, providing unique insights in understanding brain alterations during SUD, especially at the molecular and cellular levels.
 
Overall design Amygdala was dissected from naïve mice, opioid dependent and withdrawal mice. Total of 9 samples were analyzed with scRNA sequencing.
 
Contributor(s) Yan Y, Herlihy B, Boyles SM, Tao J, Hulme W, Roy S
Citation(s) 37915593
Submission date Jun 28, 2022
Last update date Nov 09, 2023
Contact name Sabita Roy
E-mail(s) sabita.roy@miami.edu
Organization name University of Miami
Department Surgery
Street address 1501 NW 10th Ave
City Miami
State/province Florida
ZIP/Postal code 33136
Country USA
 
Platforms (1)
GPL24247 Illumina NovaSeq 6000 (Mus musculus)
Samples (9)
GSM6278819 Amygdala, naive, rep1
GSM6278820 Amygdala, naive, rep2
GSM6278821 Amygdala, naive, rep3
Relations
BioProject PRJNA853778

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Supplementary file Size Download File type/resource
GSE207128_RAW.tar 912.5 Mb (http)(custom) TAR (of MTX, TSV)
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Raw data are available in SRA
Processed data provided as supplementary file

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