dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Boer, Rob de | |
dc.contributor.author | Selten, Aimée | |
dc.date.accessioned | 2023-03-15T01:01:22Z | |
dc.date.available | 2023-03-15T01:01:22Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/43656 | |
dc.description.abstract | Studying the immune system broadens our understanding of the underlying mechanisms contributing to health and disease. Recently, single-cell RNA sequencing (scRNA-seq) has provided an alternative unbiased approach to study gene expression on a single cell-level and has emerged as one of the leading techniques to uncover the immune system’s complex networks. It has allowed researchers to discover rare cell types and novel cell states in the immune system and has provided a comprehensive overview of the novel insights in immune cell characteristics, temporal, and spatial distribution as well as cellular function. Here, a review summarizing the current state of research of single-cell transcriptomics is provided, focusing on hematopoietic origin, novel immune cell types in thymus organogenesis, as well as the developing and the adult immune system. Moreover, we highlight the limitations inherent to the scRNA-seq experimental pipeline that propose challenges in advancing our knowledge of the comprehensive immune cell landscape. | |
dc.description.sponsorship | Utrecht University | |
dc.language.iso | EN | |
dc.subject | Single-cell RNA sequencing (scRNA-seq) has rapidly increased our ability to characterize the immune system's complex networks and cell types by providing an unbiased technique that allows sequencing and categorizing cells without prior knowledge of genes or proteins of interest. Here, we provide a comprehensive overview of the novel insights in immune cell characteristics, temporal, and spatial distribution as well as cellular function revealed by scRNA-seq. | |
dc.title | Revolutionizing the Understanding of Immune Cell Heterogeneity through Single-Cell Transcriptomics | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | Single-cell RNA sequencing; transcriptomes; immune cells; immunology; cellular heterogeneity; developmental trajectories | |
dc.subject.courseuu | Infection and Immunity | |
dc.thesis.id | 14913 | |