bioRxivImmunology
Logical modeling of dendritic cells in vitro differentiation from human monocytes unravels novel transcriptional regulatory interactions
K. J. Nunez-Reza, A. Naldi, A. Sanchez-Jimenez, A. V. Leon-Apodaca, M. A. Santana, M. Thomas-Chollier, D. Thieffry, A. Medina-Rivera
Abstract
Dendritic cells are the major specialized antigen-presenting cells, thereby connecting innate and adaptive immunity. Because of their role in establishing adaptive immunity, they have been used as targets for immunotherapy. Monocytes can differentiate into dendritic cells in vitro in the presence of colony-stimulating factor 2 (CSF2) and interleukin 4 (IL4), activating four signalling pathways (MAPK, JAK/STAT, NFKB, and PI3K). However, the transcriptional regulation responsible for dendritic cell differentiation from monocytes (moDCs) remains unknown. By curating scientific literature on moDCs differentiation, we established a preliminary logical model that helped us identify missing information for the activation of genes responsible for this differentiation, including missing targets for key transcription factors (TFs). Using ChIP-seq and RNA-seq data from the Blueprint consortium, we defined active and inactive promoters, together with differentially expressed genes in monocytes, moDCs, and macrophages (which correspond to an alternative cell fate). We then used this functional genomic information to predict novel targets for the identified TFs. We established a second logical model integrating this information, which enabled us to recapitulate the main established facts regarding moDCs differentiation. Prospectively, the resulting model should be useful to develop novel immunotherapies based on moDCs regulatory network.
- organism: human
- assay: ChIP-seq
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- approach: deep learning
- approach: statistical model
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