ePrints

Analysis of blood and nasal epithelial transcriptomes to identify mechanisms associated with control of SARS-CoV-2 viral load in the upper respiratory tract.

Lookup NU author(s): Professor Marieke Emonts-le ClercqORCiD

Downloads

• Published version [.pdf]

Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Publication metadata

Author(s): Moradi Marjaneh M, Challenger JD, Salas A, Gómez-Carballa A, Sivananthan A, Rivero-Calle I, Barbeito-Castiñeiras G, Foo CY, Wu Y, Liew F, Jackson HR, Habgood-Coote D, D’Souza G, Nichols SJ, Wright VJ, Levin M, Kaforou M, Thwaites RS, Okell LC, Martinón-Torres F, Cunnington AJ, PERFORM Consortium, GEN-COVID Study Group, Emonts M

Publication type: Article

Publication status: Published

Journal: Journal of Infection

Year: 2023

Volume: 87

Issue: 6

Pages: 538-550

Print publication date: 01/12/2023

Online publication date: 18/10/2023

Acceptance date: 17/10/2023

Date deposited: 20/11/2023

ISSN (print): 0163-4453

ISSN (electronic): 1532-2742

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.jinf.2023.10.009

DOI: 10.1016/j.jinf.2023.10.009

Data Access Statement: Raw RNA-Seq data and corresponding metadata are available on ArrayExpress under the accession E-MTAB-12791. NanoString nCounter data and corresponding metadata are available at https://github.com/MahdiMoradiMarjaneh/COVID19_viral_load. Codes used in the analyses can be accessed on the same GitHub repository.

Altmetrics

Share