|
Status |
Public on Dec 31, 2018 |
Title |
duodenum_Glu_negative_4665 |
Sample type |
SRA |
|
|
Source name |
duodenum
|
Organism |
Mus musculus |
Characteristics |
tissue: duodenum strain: GluVenus cell population: negative
|
Growth protocol |
mice were grown on a 12h dark/light cycle with ad libitum access to water and standard chow
|
Extracted molecule |
total RNA |
Extraction protocol |
duodenum epithelium was single-cell digestedand FACS sorted for positive cells and similar number of negative cells. RNA was extracted using microplus RNeasy kit (Qiagen) and quality checked on a picochip bioanalyzer (RIN >7) Library was constructed with 2ng of total RNA using the Ovation RNAseq system v2 kit and the Ovation Rapid DR multiplex 1-96 kit (Nugen)
|
|
|
Library strategy |
RNA-Seq |
Library source |
transcriptomic |
Library selection |
cDNA |
Instrument model |
Illumina HiSeq 4000 |
|
|
Description |
duodenum_Glu_negative_4665
|
Data processing |
data was demultiplexed using the Casava pipeline data was mapped to the mouse genome GRCm38 using Tophat v2.1.0 and raw fragment counts generated with Cufflinks v2.2.1 Genome_build: GRCm38 Supplementary_files_format_and_content: mouse_duo_Neurod1_GluVenus_raw_count.txt is a tab delimited file of number of counts for ensembl gene ids of each biological sample
|
|
|
Submission date |
May 25, 2018 |
Last update date |
Dec 31, 2018 |
Contact name |
Brian Yee Hong Lam |
E-mail(s) |
yhbl2@cam.ac.uk
|
Organization name |
University of Cambridge
|
Department |
Metabolic Research Laboratories
|
Street address |
Box 289 Addenbookes Hospital, Hills Road
|
City |
Cambridge |
ZIP/Postal code |
CB2 0QQ |
Country |
United Kingdom |
|
|
Platform ID |
GPL21103 |
Series (1) |
GSE114913 |
Mouse duodenal enteroendocrine transcriptome |
|
Relations |
BioSample |
SAMN09259622 |
SRA |
SRX4124272 |