Development of a fixed module repertoire for the analysis and interpretation of blood transcriptome data

Autor: Matthew C. Altman, Darawan Rinchai, Nicole Baldwin, Mohammed Toufiq, Elizabeth Whalen, Mathieu Garand, Basirudeen Syed Ahamed Kabeer, Mohamed Alfaki, Scott R. Presnell, Prasong Khaenam, Aaron Ayllón-Benítez, Fleur Mougin, Patricia Thébault, Laurent Chiche, Noemie Jourde-Chiche, J. Theodore Phillips, Goran Klintmalm, Anne O’Garra, Matthew Berry, Chloe Bloom, Robert J. Wilkinson, Christine M. Graham, Marc Lipman, Ganjana Lertmemongkolchai, Davide Bedognetti, Rodolphe Thiebaut, Farrah Kheradmand, Asuncion Mejias, Octavio Ramilo, Karolina Palucka, Virginia Pascual, Jacques Banchereau, Damien Chaussabel
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Nature Communications, Vol 12, Iss 1, Pp 1-19 (2021)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-021-24584-w
Popis: The blood transcriptome of human subjects can be profiled on an almost routine basis in translational research settings. Here the authors show that a fixed and well-characterized repertoire of transcriptional modules can be employed as a reusable framework for the analysis, visualization and interpretation of such data
Databáze: Directory of Open Access Journals