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    BdLT-Seq as a barcode decay-based method to unravel lineage-linked transcriptome plasticity

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    Authors
    Shlyakhtina, Yelyzaveta
    Bloechl, Bianca
    Portal, Maximiliana M
    Affiliation
    Cell Plasticity & Epigenetics Lab, Cancer Research UK - Manchester Institute, The University of Manchester, SK10 4TG, Manchester, UK
    Issue Date
    2023
    
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    Abstract
    Cell plasticity is a core biological process underlying a myriad of molecular and cellular events taking place throughout organismal development and evolution. It has been postulated that cellular systems thrive to balance the organization of meta-stable states underlying this phenomenon, thereby maintaining a degree of populational homeostasis compatible with an ever-changing environment and, thus, life. Notably, albeit circumstantial evidence has been gathered in favour of the latter conceptual framework, a direct observation of meta-state dynamics and the biological consequences of such a process in generating non-genetic clonal diversity and divergent phenotypic output remains largely unexplored. To fill this void, here we develop a lineage-tracing technology termed Barcode decay Lineage Tracing-Seq. BdLT-Seq is based on episome-encoded molecular identifiers that, supported by the dynamic decay of the tracing information upon cell division, ascribe directionality to a cell lineage tree whilst directly coupling non-genetic molecular features to phenotypes in comparable genomic landscapes. We show that cell transcriptome states are both inherited, and dynamically reshaped following constrained rules encoded within the cell lineage in basal growth conditions, upon oncogene activation and throughout the process of reversible resistance to therapeutic cues thus adjusting phenotypic output leading to intra-clonal non-genetic diversity.
    Citation
    Shlyakhtina Y, Bloechl B, Portal MM. BdLT-Seq as a barcode decay-based method to unravel lineage-linked transcriptome plasticity. Nature communications. 2023 Feb 25;14(1):1085. PubMed PMID: 36841849. Pubmed Central PMCID: PMC9968323. Epub 2023/02/26. eng.
    Journal
    Nature Communications
    URI
    http://hdl.handle.net/10541/626088
    DOI
    10.1038/s41467-023-36744-1
    PubMed ID
    36841849
    Additional Links
    https://dx.doi.org/10.1038/s41467-023-36744-1
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1038/s41467-023-36744-1
    Scopus Count
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    All Paterson Institute for Cancer Research

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