This readme file was generated on 2023-11-15 by Georgina Dowsett

GENERAL INFORMATION

Title of Dataset: Single nucleus RNA-sequencing of the mouse hindbrain in the fed and fasted state. 

Author Information
Name: Georgina Dowsett 
ORCID:0000-0002-2134-8554
Institution: Institute of Metabolic Science, Metabolic Research Laboratories, University of Cambridge
Email: gkcd2@cam.ac.uk

Author Information
Name: Brian Lam
Institution: Institute of Metabolic Science, Metabolic Research Laboratoris, University of Cambridge
Email: yhbl2@cam.ac.uk


Date of data collection: 2020-07-01 - 2020-08-30 

Geographic location of data collection: Cambridge, UK 


SHARING/ACCESS INFORMATION

Recommended citation for this dataset: Dowsett GKC, Lam BYH, Tadross JA, Cimino I, Rimmington D, Coll AP, Polex-Wolf J, Knudsen LB, Pyke C, Yeo GSH. A survey of the mouse hindbrain in the fed and fasted states using single-nucleus RNA sequencing. Mol Metab. 2021


DATA & FILE OVERVIEW

Single file: mouse-hindbrain-fedfast.RDS

Are there multiple versions of the dataset? No

METHODOLOGICAL INFORMATION

Description of methods used for collection/generation of data: Hindbrains from 6 male mice fed ad libitum and 6 male mice subjected to an overnight fast were dissected for single nucleus RNA-sequencing.
Dataset generated sequencing data of 16,034 cells 

Methods for processing the data: Reads were aligned to the mouse genome (GRCm38), and raw count data were merged and analysed according to the seurat pipeline (Seurat V3).
Briefly, nuclei expressing less than 200 features or 1000 transcripts were removed, data was log-normalised and scaled prior to PCA followed by unsupervised cluster analysis using the Louvain algorithm 

Instrument- or software-specific information needed to interpret the data: R and Seurat package

Environmental/experimental conditions: ad libitum and overnight fasted samples 

People involved with sample collection, processing, analysis and/or submission: Georgina Dowsett, Brian Lam