Transcriptome organization of white blood cells through gene co-expression network analysis in a large RNA-seq dataset

Gene co-expression network analysis enables identification of biologically meaningful clusters of co-regulated genes (modules) in an unsupervised manner. We present here the largest study conducted thus far of co-expression networks in white blood cells (WBC) based on RNA-seq data from 624 individua...

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Bibliographic Details
Published in:	Frontiers in immunology Vol. 15; p. 1350111
Main Authors:	Forabosco, Paola, Pala, Mauro, Crobu, Francesca, Diana, Maria Antonietta, Marongiu, Mara, Cusano, Roberto, Angius, Andrea, Steri, Maristella, Orrù, Valeria, Schlessinger, David, Fiorillo, Edoardo, Devoto, Marcella, Cucca, Francesco
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Media SA 02.04.2024 Frontiers Media S.A
Subjects:	Dendritic cells Flow cytometry Gene expression Gene Expression Profiling Gene Regulatory Networks Granulocytes Humans Immune response Immune system Immunology Leukocytes Leukocytes (neutrophilic) lncRNA Lymphocytes Lymphocytes T MicroRNAs network analysis Phenotypes RNA-Seq Transcriptome Transcriptomes WGCNA white blood cells immune system network analysis lncRNA RNA-seq white blood cells WGCNA
ISSN:	1664-3224, 1664-3224
Online Access:	Get full text
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