Ontology highlight
ABSTRACT:
SUBMITTER: Huang N
PROVIDER: S-EPMC8240394 | biostudies-literature | 2021 May
REPOSITORIES: biostudies-literature
Huang Ni N Pérez Paola P Kato Takafumi T Mikami Yu Y Okuda Kenichi K Gilmore Rodney C RC Conde Cecilia Domínguez CD Gasmi Billel B Stein Sydney S Beach Margaret M Pelayo Eileen E Maldonado Jose O JO Lafont Bernard A BA Jang Shyh-Ing SI Nasir Nadia N Padilla Ricardo J RJ Murrah Valerie A VA Maile Robert R Lovell William W Wallet Shannon M SM Bowman Natalie M NM Meinig Suzanne L SL Wolfgang Matthew C MC Choudhury Saibyasachi N SN Novotny Mark M Aevermann Brian D BD Scheuermann Richard H RH Cannon Gabrielle G Anderson Carlton W CW Lee Rhianna E RE Marchesan Julie T JT Bush Mandy M Freire Marcelo M Kimple Adam J AJ Herr Daniel L DL Rabin Joseph J Grazioli Alison A Das Sanchita S French Benjamin N BN Pranzatelli Thomas T Chiorini John A JA Kleiner David E DE Pittaluga Stefania S Hewitt Stephen M SM Burbelo Peter D PD Chertow Daniel D Frank Karen K Lee Janice J Boucher Richard C RC Teichmann Sarah A SA Warner Blake M BM Byrd Kevin M KM
Nature medicine 20210325 5
Despite signs of infection-including taste loss, dry mouth and mucosal lesions such as ulcerations, enanthema and macules-the involvement of the oral cavity in coronavirus disease 2019 (COVID-19) is poorly understood. To address this, we generated and analyzed two single-cell RNA sequencing datasets of the human minor salivary glands and gingiva (9 samples, 13,824 cells), identifying 50 cell clusters. Using integrated cell normalization and annotation, we classified 34 unique cell subpopulations ...[more]