biorxiv | We also noticed that the only Asian donor (male) has a much higher
ACE2-expressing cell ratio than white and African American donors (2.50%
vs. 0.47% of all cells). This might explain the observation that the
new Coronavirus pandemic and previous SARS-Cov pandemic are concentrated
in the Asian area. (damn homie, are you PHUKKED?!?!?!?!)
A novel
coronavirus (2019-nCov) was identified in Wuhan, Hubei Province, China
in December of 2019. This new coronavirus has resulted in thousands of
cases of lethal disease in China, with additional patients being
identified in a rapidly growing number internationally. 2019-nCov was
reported to share the same receptor, Angiotensin-converting enzyme 2
(ACE2), with SARS-Cov. Here based on the public database and the
state-of-the-art single-cell RNA-Seq technique, we analyzed the ACE2 RNA
expression profile in the normal human lungs. The result indicates that
the ACE2 virus receptor expression is concentrated in a small
population of type II alveolar cells (AT2). Surprisingly, we found that
this population of ACE2-expressing AT2 also highly expressed many other
genes that positively regulating viral reproduction and transmission. A
comparison between eight individual samples demonstrated that the Asian
male one has an extremely large number of ACE2-expressing cells in the
lung. This study provides a biological background for the epidemic
investigation of the 2019-nCov infection disease, and could be
informative for future anti-ACE2 therapeutic strategy development.
Severe
infection by 2019-nCov could result in acute respiratory distress
syndrome (ARDS) and sepsis, causing death in approximately 15% of
infected individuals1,2.
Once contacted with the human airway, the spike proteins of this virus
can associate with the surface receptors of sensitive cells, which
mediated the entrance of the virus into target cells for further
replication. Recently, Xu et.al., modeled the spike protein to identify
the receptor for 2019-nCov, and indicated that Angiotensin-converting
enzyme 2 (ACE2) could be the receptor for this virus3. ACE2 is previously known as the receptor for SARS-Cov and NL634–6.
According to their modeling, although the binding strength between
2019-nCov and ACE2 is weaker than that between SARS-Cov and ACE2, it is
still much higher than the threshold required for virus infection. Zhou
et. al. conducted virus infectivity studies and showed that ACE2 is
essential for 2019-nCov to enter HeLa cells7. These data indicated that ACE2 is likely to be the receptor for 2019-nCov.
The
expression and distribution of the receptor decide the route of virus
infection and the route of infection has a major implication for
understanding the pathogenesis and designing therapeutic strategies.
Previous studies have investigated the RNA expression of ACE2 in 72
human tissues8.
However, the lung is a complex organ with multiple types of cells, and
such real-time PCR RNA profiling is based on bulk tissue analysis with
no way to elucidate the ACE2 expression in each type of cell in the
human lung. The ACE2 protein level is also investigated by
immunostaining in lung and other organs8,9.
These studies showed that in normal human lung, ACE2 is mainly
expressed by type II and type I alveolar epithelial cells. Endothelial
cells were also reported to be ACE2 positive. However, immunostaining
analysis is known for its lack of signal specificity, and accurate
quantification is also another challenge for such analysis.
The
recently developed single-cell RNA sequencing (scRNA-Seq) technology
enables us to study the ACE2 expression in each cell type and give
quantitative information at single-cell resolution. Previous work has
built up the online database for scRNA-Seq analysis of 8 normal human
lung transplant donors10.
In current work, we used the updated bioinformatics tools to analyze
the data. In total, we analyzed 43,134 cells derived from normal lung
tissue of 8 adult donors. We performed unsupervised graph-based
clustering (Seurat version 2.3.4) and for each individual, we identified
8~11 transcriptionally distinct cell clusters based on their marker
gene expression profile. Typically the clusters include type II alveolar
cells (AT2), type I alveolar cells (AT1), airway epithelial cells
(ciliated cells and Club cells), fibroblasts, endothelial cells and
various types of immune cells. The cell cluster map of a representative
donor (Asian male, 55-year-old) was visualized using t-distributed
stochastic neighbor embedding (tSNE) as shown in Fig. 1b and his major cell type marker expressions were demonstrated in Fig.2. Fist tap Dale.
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