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

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  • Yelyzaveta Shlyakhtina

    (The University of Manchester)

  • Bianca Bloechl

    (The University of Manchester)

  • Maximiliano M. Portal

    (The University of Manchester)

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.

Suggested Citation

  • Yelyzaveta Shlyakhtina & Bianca Bloechl & Maximiliano M. Portal, 2023. "BdLT-Seq as a barcode decay-based method to unravel lineage-linked transcriptome plasticity," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36744-1
    DOI: 10.1038/s41467-023-36744-1
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    1. Sydney M. Shaffer & Margaret C. Dunagin & Stefan R. Torborg & Eduardo A. Torre & Benjamin Emert & Clemens Krepler & Marilda Beqiri & Katrin Sproesser & Patricia A. Brafford & Min Xiao & Elliott Eggan , 2017. "Rare cell variability and drug-induced reprogramming as a mode of cancer drug resistance," Nature, Nature, vol. 546(7658), pages 431-435, June.
    2. Alex Sigal & Ron Milo & Ariel Cohen & Naama Geva-Zatorsky & Yael Klein & Yuvalal Liron & Nitzan Rosenfeld & Tamar Danon & Natalie Perzov & Uri Alon, 2006. "Variability and memory of protein levels in human cells," Nature, Nature, vol. 444(7119), pages 643-646, November.
    3. Rowan D Brackston & Eszter Lakatos & Michael P H Stumpf, 2018. "Transition state characteristics during cell differentiation," PLOS Computational Biology, Public Library of Science, vol. 14(9), pages 1-24, September.
    4. Brent A. Biddy & Wenjun Kong & Kenji Kamimoto & Chuner Guo & Sarah E. Waye & Tao Sun & Samantha A. Morris, 2018. "Single-cell mapping of lineage and identity in direct reprogramming," Nature, Nature, vol. 564(7735), pages 219-224, December.
    5. Anna Alemany & Maria Florescu & Chloé S. Baron & Josi Peterson-Maduro & Alexander van Oudenaarden, 2018. "Whole-organism clone tracing using single-cell sequencing," Nature, Nature, vol. 556(7699), pages 108-112, April.
    6. Michelle M. Chan & Zachary D. Smith & Stefanie Grosswendt & Helene Kretzmer & Thomas M. Norman & Britt Adamson & Marco Jost & Jeffrey J. Quinn & Dian Yang & Matthew G. Jones & Alex Khodaverdian & Nir , 2019. "Molecular recording of mammalian embryogenesis," Nature, Nature, vol. 570(7759), pages 77-82, June.
    7. Hannah H. Chang & Martin Hemberg & Mauricio Barahona & Donald E. Ingber & Sui Huang, 2008. "Transcriptome-wide noise controls lineage choice in mammalian progenitor cells," Nature, Nature, vol. 453(7194), pages 544-547, May.
    8. Angela Oliveira Pisco & Amy Brock & Joseph Zhou & Andreas Moor & Mitra Mojtahedi & Dean Jackson & Sui Huang, 2013. "Non-Darwinian dynamics in therapy-induced cancer drug resistance," Nature Communications, Nature, vol. 4(1), pages 1-11, December.
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