Toggle Main Menu Toggle Search

Open Access padlockePrints

Predicting trajectories of illness using RNA velocity of whole blood

Lookup NU author(s): Professor Marieke Emonts-le ClercqORCiD, Dr Fabian Van Der Velden

Downloads


Licence

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


Publication metadata

Author(s): Dunican C, Wilson C, Habgood-Coote D, Paterson S, Noursadeghi M, Moseki R, Stek C, Wilkinson R, Agyeman PKA, Beudeker CR, Biesbroek G, Von Both U, Brengel-Pesce K, Carrol ED, Coin L, D'Souza G, De T, Emonts M, Fidler K, Fink CG, Van der Flier M, Georgaki I, Kolberg L, Kolnik M, Kuijpers T, MartinĂ³n-Torres F, Mommert-Tripon M, Nichols S, Paulus S, Pokorn M, Pollard AJ, Rivero-Calle I, Rudzate A, Schlapbach LJ, Schweintzger NA, Shen CF, Shrestha S, Tan CD, Tsolia M, Usuf E, Van der Velden F, Vermont CL, Voice M, Yeung S, Zavadska D, Zenz W, Wright VJ, Levin M, Herberg J, PERFORM Consortium, Lai RPJ, Meintjes G, Chiu C, Barahona M, Kaforou M, Cunnington AJ

Publication type: Article

Publication status: Published

Journal: Nature Communications

Year: 2026

Volume: 17

Online publication date: 06/05/2026

Acceptance date: 26/03/2026

Date deposited: 16/04/2026

ISSN (electronic): 2041-1723

Publisher: Nature Publishing Group

URL: https://doi.org/10.1038/s41467-026-71685-5

DOI: 10.1038/s41467-026-71685-5

Data Access Statement: The RNA-Seq data from the TB-IRIS study have been deposited in the GEO database under accession number GSE274086. RNA-Seq data from the inflammatory bowel disease study have been deposited in the GEO database under accession number GSE191328. RNA-Seq data from the PERFORM subjects generated in this study have been deposited in the ArrayExpress database under accession code E-MTAB-14728, with the exception of 9 samples for which permission for public sharing of sequence data was not granted by participants. RNA-Seq data from the SARS-CoV-2 and influenza controlled human infection studies, and the INSTINCT study have been deposited in the European Genome-Phenome Archive (EGA) database under accession codes EGAD50000000942, EGAD50000000956, and EGAD50000000684, respectively. [more at https://www-nature-com.libproxy.ncl.ac.uk/articles/s41467-026-71685-5#data-availability ]


Altmetrics

Altmetrics provided by Altmetric


Funding

Funder referenceFunder name
European Union (MR/L006529/1 to A.J.C.)
European Union Horizon 2020 Research and Innovation programme (grant agreement numbers 668303 and 848196)
UK Department for International Development (DFID) under the MRC/DFID Concordat agreement
UK MRC (MR/R008922/1 to RPJL)

Share