Highly ACE2 Expression in Pancreas May Cause Pancreas Damage After SARS-CoV-2 Infection

Furong Liu; Xin Long; Wenbin Zou; Minghao Fang; Wenjuan Wu; Wei Li; Bixiang Zhang; Wanguang Zhang; Xiaoping Chen; Zhanguo Zhang

We collected bulk RNA-seq data from GTEx (https://gtexportal.org), which contains normal tissue and organ sequencing data from multiple individuals. The data analysis was performed online. In addition, we collected data from single-cell RNA-seq (scRNA-seq) of the pancreas NCBI-GEO (GSE85241 (4 donors with 2,126 pancreatic cells), GSE84133 (4 donors with 8569 pancreatic cells)). The details of the donors are available in the previous report [8, 9] . The scRNA-seq data processing process is as follows: Unique molecular identified (UMI) expression count matrix was obtained from the database, and Seurat object was created. Further quality control was performed, cells with high mitochondrial gene expression > 5% were filtered. The data was normalized and log-transformed with the method "LogNormalize" in NormalizeData function. Before we performed linear dimensional reduction, the data was scaling. And then principal component analysis (PCA) was performed to the data and determined the dimensionality. Finally, after clustering cells based on graph-based clustering approach, the non-linear dimensional reduction based on uniform manifold . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.