| Literature DB >> 30995076 |
Herbert B Schiller1, Daniel T Montoro2,3, Lukas M Simon4, Emma L Rawlins5, Kerstin B Meyer6, Maximilian Strunz1, Felipe A Vieira Braga6, Wim Timens7,8, Gerard H Koppelman9,8, G R Scott Budinger10, Janette K Burgess7,8, Avinash Waghray2,3, Maarten van den Berge11,8, Fabian J Theis4,12, Aviv Regev13,14, Naftali Kaminski15, Jayaraj Rajagopal2,3, Sarah A Teichmann6, Alexander V Misharin10, Martijn C Nawijn7,8.
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.Entities:
Keywords: Human Cell Atlas; single-cell RNA sequencing; spatial transcriptomics; systems biology
Mesh:
Year: 2019 PMID: 30995076 PMCID: PMC6604220 DOI: 10.1165/rcmb.2018-0416TR
Source DB: PubMed Journal: Am J Respir Cell Mol Biol ISSN: 1044-1549 Impact factor: 6.914