@inbook{a25085a676084799a6c98b3c68cc803a,
title = "Use of CRISPR/CAS9 Technologies to Study the Role of TLR in Dendritic Cell Subsets",
abstract = "Dendritic cells (DCs) have a significant role in coordinating both innate and adaptive immunity by serving as sentinels that detect invaders and initiate immune responses to eliminate them, as well as presenting antigens to activate adaptive immune responses that are specific to the antigen and the context in which it was detected. The regulation of DC functions is complex and involves intracellular drivers such as transcription factors and signaling pathways, as well as intercellular interactions with adhesion molecules, chemokines, and their receptors in the microenvironment. Toll-like receptors (TLRs) are crucial for DCs to detect pathogen-associated molecular patterns (PAMPs) and initiate downstream signaling pathways that lead to DC maturation and education in bridging with adaptive immunity, including the upregulation of MHC class II expression, induction of CD80, CD86, and CD40, and production of innate cytokines. Understanding the TLR pathways that DCs use to respond to innate immune stimuli and convert them into adaptive responses is important for new therapeutic targets identification. We present a novel platform that offers a fast and affordable CRISPR-Cas9 screening of genes that are involved in dendritic cells{\textquoteright} TLR-dependent activation. Using CRISPR/Cas9 screening to target individual TLR genes in different dendritic cell subsets allows the identification of TLR-dependent pathways that regulate dendritic cell activation and cytokine production. This approach offers the efficient targeting of TLR driver genes to modulate the immune response and identify novel immune response regulators, establishing a causal link between these regulators and functional phenotypes based on genotypes.",
keywords = "CRISPR/CAS9, Cytokines, Dendritic cell subsets, Retroviral vectors, Toll-like receptors",
author = "Giulia Mencarelli and Benedetta Pieroni and Murphy, {Kenneth M.} and Marco Gargaro",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.",
year = "2023",
doi = "10.1007/978-1-0716-3366-3_4",
language = "English",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "77--92",
booktitle = "Methods in Molecular Biology",
}