Author: AJ Venkatakrishnan; Arjun Puranik; Akash Anand; David Zemmour; Xiang Yao; Xiaoying Wu; Ramakrishna Chilaka; Dariusz K Murakowski; Kristopher Standish; Bharathwaj Raghunathan; Tyler Wagner; Enrique Garcia-Rivera; Hugo Solomon; Abhinav Garg; Rakesh Barve; Anuli Anyanwu-Ofili; Najat Khan; Venky Soundararajan
Title: Knowledge synthesis from 100 million biomedical documents augments the deep expression profiling of coronavirus receptors Document date: 2020_3_29
ID: j7t9nebs_13
Snippet: Next, we classified 105 respiratory cell populations from eight independent studies based on their expression of and literature-derived associations to ACE2 ( Figure 3A) . Consistent with the low levels of ACE2 in respiratory tissues by bulk RNA-seq, proteomics, and IHC ( Figure S3A-D) , we found that ACE2 expression is detected in fewer than 10% of all cell types recovered from these studies. However, as mentioned above, we believe that even low.....
Document: Next, we classified 105 respiratory cell populations from eight independent studies based on their expression of and literature-derived associations to ACE2 ( Figure 3A) . Consistent with the low levels of ACE2 in respiratory tissues by bulk RNA-seq, proteomics, and IHC ( Figure S3A-D) , we found that ACE2 expression is detected in fewer than 10% of all cell types recovered from these studies. However, as mentioned above, we believe that even low ACE2 expression levels in these respiratory cells may be sufficient for COVID-19 pathogenesis.
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