UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Single cell profiling of COVID-19 patients: an international data resource from multiple tissues

Ballestar, E; Farber, DL; Glover, S; Horwitz, B; Meyer, K; Nikolić, M; Ordovas-Montanes, J; ... Villani, AC; + view all (2020) Single cell profiling of COVID-19 patients: an international data resource from multiple tissues. (medRxiv ). Cold Spring Harbor Laboratory: New York, USA. Green open access

[thumbnail of 2020.11.20.20227355v1.full.pdf]
Preview
Text
2020.11.20.20227355v1.full.pdf - Submitted Version

Download (924kB) | Preview

Abstract

In late 2019 and through 2020, the COVID-19 pandemic swept the world, presenting both scientific and medical challenges associated with understanding and treating a previously unknown disease. To help address the need for great understanding of COVID-19, the scientific community mobilized and banded together rapidly to characterize SARS-CoV-2 infection, pathogenesis and its distinct disease trajectories. The urgency of COVID-19 provided a pressing use-case for leveraging relatively new tools, technologies, and nascent collaborative networks. Single-cell biology is one such example that has emerged over the last decade as a powerful approach that provides unprecedented resolution to the cellular and molecular underpinnings of biological processes. Early foundational work within the single-cell community, including the Human Cell Atlas, utilized published and unpublished data to characterize the putative target cells of SARS-CoV-2 sampled from diverse organs based on expression of the viral receptor ACE2 and associated entry factors TMPRSS2 and CTSL (Muus et al., 2020; Sungnak et al., 2020; Ziegler et al., 2020). This initial characterization of reference data provided an important foundation for framing infection and pathology in the airway as well as other organs. However, initial community analysis was limited to samples derived from uninfected donors and other previously-sampled disease indications. This report provides an overview of a single-cell data resource derived from samples from COVID-19 patients along with initial observations and guidance on data reuse and exploration.

Type: Working / discussion paper
Title: Single cell profiling of COVID-19 patients: an international data resource from multiple tissues
Open access status: An open access version is available from UCL Discovery
DOI: 10.1101/2020.11.20.20227355
Publisher version: https://doi.org/10.1101/2020.11.20.20227355
Language: English
Additional information: This article is a preprint and has not been peer-reviewed. It reports new medical research that has yet to be evaluated and so should not be used to guide clinical practice. - Copyright: The copyright holder for this preprint is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license (https://creativecommons.org/licenses/by/4.0/).
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Respiratory Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
URI: https://discovery.ucl.ac.uk/id/eprint/10123594
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item