Multicohort Analysis of Publicly-available Monocyte Expression Data Identifies Gene Signatures to Accurately Monitor Subset-specific Changes in Human Diseases
Francesco Vallania, Liron Zisman, Claudia Macaubas, Shu-Chen Hung, Narendiran Rajasekaran, Sonia Mason, Jonathan D. Graf, Mary C. Nakamura, Elizabeth Mellins, Purvesh Khatri
The paper identifies gene signatures for human monocyte subsets using public transcriptomes, showing they accurately reflect subset levels in disease states and can be used for cytometry-based sorting.
Frontiers in Immunology · May 14, 2021Peer-reviewedSystems Biology