Skip to content
avantikalal edited this page Apr 2, 2020 · 68 revisions

Gene Expression

Available public gene expression data for COVID-19.

Interesting Bibliography to take into account (Including pre-prints, feel free to complete the list):

General RNAseq analyses

ACE Related RNAseq analyses

ACE polymorphisms from RNA-seq data: project idea

SARS-CoV and SARS-CoV-2 bind to the human target cells through angiotensin-converting enzyme 2 (ACE), which is ix expressed in e.g. the epithelial cells of the lung, intestine, kidney, and blood vessels. The genetic predisposition for an increased risk of developing severe symptoms of COVID-19 might be due to ACE2 polymorphisms, especially those that have previously been linked to COVID-19 comorbidities such as diabetes mellitus and hypertension. However, since genomic data on ACE2 is limited, one approach would be to analyze existing ACE2 RNA-seq data from healthy individuals and individuals with comorbidities associated with COVID-19 and COVID-19 itself in order to find polymorphisms associated with COVID-19 severity.

Literature

Datasets

Pre-prints (1021 bioRxiv and medRxiv articles screened 31st March 2020)

Communication channel

Participants

(Feel free to add your name)

Clone this wiki locally