The Human Lung Cell Atlas: A High-Resolution Reference Map of the Human Lung in Health and Disease
Name
rcmb.2018-0416tr.pdf
Description
Published version
Size
941.71 KB
Format
Adobe PDF
Checksum (MD5)
6905b99923b6326d310a72bb1ad9ba5b
Author(s)
Regev, Aviv
Date Issued
July 2019
Journal
American journal of respiratory cell and molecular biology
Publisher
American Thoracic Society
Citation
Schiller, Herbert B. et al. “The Human Lung Cell Atlas: A High-Resolution Reference Map of the Human Lung in Health and Disease.” American journal of respiratory cell and molecular biology 61 (2019): 31-41 © 2019 The Author(s)
Version
Final published version
Abstract
Lung disease accounts for every sixth death globally. Profiling the molecular state of all lung cell types in health and disease is currently revolutionizing the identification of disease mechanisms and will aid the design of novel diagnostic and personalized therapeutic regimens. Recent progress in high-throughput techniques for single-cell genomic and transcriptomic analyses has opened up new possibilities to study individual cells within a tissue, classify these into cell types, and characterize variations in their molecular profiles as a function of genetics, environment, cell-cell interactions, developmental processes, aging, or disease. Integration of these cell state definitions with spatial information allows the in-depth molecular description of cellular neighborhoods and tissue microenvironments, including the tissue resident structural and immune cells, the tissue matrix, and the microbiome. The Human Cell Atlas consortium aims to characterize all cells in the healthy human body and has prioritized lung tissue as one of the flagship projects. Here, we present the rationale, the approach, and the expected impact of a Human Lung Cell Atlas.
Subjects
Clinical Biochemistry
Cell Biology
Molecular Biology
Pulmonary and Respiratory Medicine
MIT Department
Massachusetts Institute of Technology. Department of Biology
Koch Institute for Integrative Cancer Research at MIT
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1165/rcmb.2018-0416tr
