First integrated human lung cell atlas provides insights into lung diseases NatureMedicine
on June 8. Revealing the great diversity of cell types in the lung and key differences between health and disease, the Human Lung Cell Atlas will be a valuable resource for lung researchers.
Now, a large team of researchers has successfully combined 49 lung datasets into a single integrated Atlas, using advanced machine learning. By pooling and integrating datasets from every major single-cell RNA-sequencing lung study published to date, the team created the first integrated Human Lung Cell Atlas. This Atlas spans over 2.4 millionDr.
While the core of the Human Lung Cell Atlas is data from healthy lungs, the team also took datasets from more than 10 different lung diseases and projected these onto the healthy data, to understand disease states. Professor Martijn Nawijn, a senior author on the paper and Professor at the University Medical Center Groningen, the Netherlands, said,"This is the first effort to compare healthy and diseased lungs in one study in an integrated way. Our study not only supports the presence of lung fibrosis in COVID-19, it allows us to identify and define a shared cell state between lung fibrosis, COVID-19 and lung cancer patients.
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