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DNA Barcoding Technology for Lineage Recording and Tracing to Resolve Cell Fate Determination

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dc.contributor.authorKim, Ik Soo-
dc.date.accessioned2024-01-16T02:00:56Z-
dc.date.available2024-01-16T02:00:56Z-
dc.date.issued2024-01-
dc.identifier.issn2073-4409-
dc.identifier.issn2073-4409-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/90081-
dc.description.abstractIn various biological contexts, cells receive signals and stimuli that prompt them to change their current state, leading to transitions into a future state. This change underlies the processes of development, tissue maintenance, immune response, and the pathogenesis of various diseases. Following the path of cells from their initial identity to their current state reveals how cells adapt to their surroundings and undergo transformations to attain adjusted cellular states. DNA-based molecular barcoding technology enables the documentation of a phylogenetic tree and the deterministic events of cell lineages, providing the mechanisms and timing of cell lineage commitment that can either promote homeostasis or lead to cellular dysregulation. This review comprehensively presents recently emerging molecular recording technologies that utilize CRISPR/Cas systems, base editing, recombination, and innate variable sequences in the genome. Detailing their underlying principles, applications, and constraints paves the way for the lineage tracing of every cell within complex biological systems, encompassing the hidden steps and intermediate states of organism development and disease progression.-
dc.language영어-
dc.language.isoENG-
dc.publisherMDPI-
dc.titleDNA Barcoding Technology for Lineage Recording and Tracing to Resolve Cell Fate Determination-
dc.typeArticle-
dc.identifier.wosid001139180400001-
dc.identifier.doi10.3390/cells13010027-
dc.identifier.bibliographicCitationCells, v.13, no.1-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-85181894668-
dc.citation.titleCells-
dc.citation.volume13-
dc.citation.number1-
dc.type.docTypeReview-
dc.publisher.location스위스-
dc.subject.keywordAuthorlineage tracing-
dc.subject.keywordAuthorcell tracking-
dc.subject.keywordAuthormolecular recording-
dc.subject.keywordAuthorDNA barcode-
dc.subject.keywordAuthorsingle-cell genetics-
dc.subject.keywordPlusSINGLE CELLS-
dc.subject.keywordPlusINFORMATION-
dc.subject.keywordPlusEVENTS-
dc.subject.keywordPlusTIME-
dc.relation.journalResearchAreaCell Biology-
dc.relation.journalWebOfScienceCategoryCell Biology-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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