Data

Web Tools for Exploring Our Single Cell RNA-seq Data

Note: In light of recent cyberattack incidents at the University of Michigan, RShiny services appear to be non-functional for public use. We recommend that investigators utilize our deposited data (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE157281) to reproduce the work and perform further analyses. We apologize for the inconvenience.

Data associated with Park et al. Holistic characterization of single hepatocyte transcriptome responses to high fat diet (Submitted)

*** For gene names, please type the official gene symbol approved by the Mouse Genome Informatics Database (e.g. Alb, Cyp2f2, Elovl5)

RShiny tools for exploring scRNA-seq dataset on mouse hepatocytes isolated from LFD and HFD livers.

(1) 2-dimensional analyses (PCA, t-SNE, UMAP & individual gene expression) on scaled data & magic-imputed data.

http://shiny.sph.umich.edu/hmkang/leeju_LFD_HFD/magic/

(2) 2-dimensional analyses (PCA, t-SNE, UMAP & individual gene expression) on scaled data & saver-imputed data.

http://shiny.sph.umich.edu/hmkang/leeju_LFD_HFD/saver/

(3) 3-dimensional PCA analysis on scaled data & magic-imputed data.

http://shiny.sph.umich.edu/hmkang/leeju_LFD_HFD/3D/

(4) Analysis of single cell gene expression in hepatocytes of each zone, expressed as mean±SEM.

http://shiny.sph.umich.edu/hmkang/leeju_LFD_HFD/zone/

For details of analyses, visit https://doi.org/10.1101/2020.04.16.045260