IDEAS home Printed from https://ideas.repec.org/a/plo/pcbi00/1006405.html
   My bibliography  Save this article

Transition state characteristics during cell differentiation

Author

Listed:
  • Rowan D Brackston
  • Eszter Lakatos
  • Michael P H Stumpf

Abstract

Models describing the process of stem-cell differentiation are plentiful, and may offer insights into the underlying mechanisms and experimentally observed behaviour. Waddington’s epigenetic landscape has been providing a conceptual framework for differentiation processes since its inception. It also allows, however, for detailed mathematical and quantitative analyses, as the landscape can, at least in principle, be related to mathematical models of dynamical systems. Here we focus on a set of dynamical systems features that are intimately linked to cell differentiation, by considering exemplar dynamical models that capture important aspects of stem cell differentiation dynamics. These models allow us to map the paths that cells take through gene expression space as they move from one fate to another, e.g. from a stem-cell to a more specialized cell type. Our analysis highlights the role of the transition state (TS) that separates distinct cell fates, and how the nature of the TS changes as the underlying landscape changes—change that can be induced by e.g. cellular signaling. We demonstrate that models for stem cell differentiation may be interpreted in terms of either a static or transitory landscape. For the static case the TS represents a particular transcriptional profile that all cells approach during differentiation. Alternatively, the TS may refer to the commonly observed period of heterogeneity as cells undergo stochastic transitions.Author summary: Current emphasis on single cell analysis, especially in the context of the human and mouse cell atlas projects, is on characterizing the transcriptomic signatures of different cell states. This is clearly of great importance, as even the number of different cell types, e.g. in humans, is not known with any satisfying degree of certainty. There are enormous challenges in mapping these states, but this will still only provide a partial answer. Importantly, the way in which cells differentiate, and the way in which gene expression changes over the course of differentiation will still be unknown. Here we use a dynamical systems perspective to consider the nature of, and dynamics during, the transition between different cell types (or cell states). We show how the developmental landscape (in Waddington’s sense) and the nature of the transition states change in response to external stimuli and discuss this in the context of stem cell differentiation (as well as its potential reversal). In particular, we discuss how the nature of the landscape at the transition state, as well as the presence of non-gradient dynamics, has strong implications for the identifiability of differentiation dynamics from experimental data.

Suggested Citation

  • 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.
  • Handle: RePEc:plo:pcbi00:1006405
    DOI: 10.1371/journal.pcbi.1006405
    as

    Download full text from publisher

    File URL: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006405
    Download Restriction: no

    File URL: https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1006405&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pcbi.1006405?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Cheng Lv & Xiaoguang Li & Fangting Li & Tiejun Li, 2014. "Constructing the Energy Landscape for Genetic Switching System Driven by Intrinsic Noise," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-10, February.
    2. Andre Olsson & Meenakshi Venkatasubramanian & Viren K. Chaudhri & Bruce J. Aronow & Nathan Salomonis & Harinder Singh & H. Leighton Grimes, 2016. "Single-cell analysis of mixed-lineage states leading to a binary cell fate choice," Nature, Nature, vol. 537(7622), pages 698-702, September.
    3. Stefan Semrau & Johanna E. Goldmann & Magali Soumillon & Tarjei S. Mikkelsen & Rudolf Jaenisch & Alexander van Oudenaarden, 2017. "Dynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells," Nature Communications, Nature, vol. 8(1), pages 1-16, December.
    4. Angélique Richard & Loïs Boullu & Ulysse Herbach & Arnaud Bonnafoux & Valérie Morin & Elodie Vallin & Anissa Guillemin & Nan Papili Gao & Rudiyanto Gunawan & Jérémie Cosette & Ophélie Arnaud & Jean-Ja, 2016. "Single-Cell-Based Analysis Highlights a Surge in Cell-to-Cell Molecular Variability Preceding Irreversible Commitment in a Differentiation Process," PLOS Biology, Public Library of Science, vol. 14(12), pages 1-35, December.
    5. Chunhe Li & Jin Wang, 2013. "Quantifying Cell Fate Decisions for Differentiation and Reprogramming of a Human Stem Cell Network: Landscape and Biological Paths," PLOS Computational Biology, Public Library of Science, vol. 9(8), pages 1-14, August.
    6. Chunhe Li & Erkang Wang & Jin Wang, 2011. "Potential Landscape and Probabilistic Flux of a Predator Prey Network," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-9, March.
    7. Shinya Yamanaka, 2009. "Elite and stochastic models for induced pluripotent stem cell generation," Nature, Nature, vol. 460(7251), pages 49-52, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chunhe Li & Jin Wang, 2013. "Quantifying Cell Fate Decisions for Differentiation and Reprogramming of a Human Stem Cell Network: Landscape and Biological Paths," PLOS Computational Biology, Public Library of Science, vol. 9(8), pages 1-14, August.
    2. Rani Pallavi & Elena Gatti & Tiphanie Durfort & Massimo Stendardo & Roberto Ravasio & Tommaso Leonardi & Paolo Falvo & Bruno Achutti Duso & Simona Punzi & Aobuli Xieraili & Andrea Polazzi & Doriana Ve, 2024. "Caloric restriction leads to druggable LSD1-dependent cancer stem cells expansion," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    3. Sina Schumacher & Max Fernkorn & Michelle Marten & Rui Chen & Yung Su Kim & Ivan Bedzhov & Christian Schröter, 2024. "Tissue-intrinsic beta-catenin signals antagonize Nodal-driven anterior visceral endoderm differentiation," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    4. Wio, H.S. & Deza, J.I. & Sánchez, A.D. & García-García, R. & Gallego, R. & Revelli, J.A. & Deza, R.R., 2022. "The nonequilibrium potential today: A short review," Chaos, Solitons & Fractals, Elsevier, vol. 165(P1).
    5. Anyou Wang & Ying Du & Qianchuan He & Chunxiao Zhou, 2013. "A Quantitative System for Discriminating Induced Pluripotent Stem Cells, Embryonic Stem Cells and Somatic Cells," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-10, February.
    6. Francesco Panariello & Onelia Gagliano & Camilla Luni & Antonio Grimaldi & Silvia Angiolillo & Wei Qin & Anna Manfredi & Patrizia Annunziata & Shaked Slovin & Lorenzo Vaccaro & Sara Riccardo & Valenti, 2023. "Cellular population dynamics shape the route to human pluripotency," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    7. Xinyu Hu & Bob van Sluijs & Óscar García-Blay & Yury Stepanov & Koen Rietrae & Wilhelm T. S. Huck & Maike M. K. Hansen, 2024. "ARTseq-FISH reveals position-dependent differences in gene expression of micropatterned mESCs," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    8. Aidan M. Fenix & Yuichiro Miyaoka & Alessandro Bertero & Steven M. Blue & Matthew J. Spindler & Kenneth K. B. Tan & Juan A. Perez-Bermejo & Amanda H. Chan & Steven J. Mayerl & Trieu D. Nguyen & Caitli, 2021. "Gain-of-function cardiomyopathic mutations in RBM20 rewire splicing regulation and re-distribute ribonucleoprotein granules within processing bodies," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    9. Sébastien Durand & Marion Bruelle & Fleur Bourdelais & Bigitha Bennychen & Juliana Blin-Gonthier & Caroline Isaac & Aurélia Huyghe & Sylvie Martel & Antoine Seyve & Christophe Vanbelle & Annie Adrait , 2023. "RSL24D1 sustains steady-state ribosome biogenesis and pluripotency translational programs in embryonic stem cells," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    10. Nicolas Allègre & Sabine Chauveau & Cynthia Dennis & Yoan Renaud & Dimitri Meistermann & Lorena Valverde Estrella & Pierre Pouchin & Michel Cohen-Tannoudji & Laurent David & Claire Chazaud, 2022. "NANOG initiates epiblast fate through the coordination of pluripotency genes expression," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    11. María José Pino-Barrio & Elisa García-García & Pablo Menéndez & Alberto Martínez-Serrano, 2015. "V-Myc Immortalizes Human Neural Stem Cells in the Absence of Pluripotency-Associated Traits," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-13, March.
    12. Rabajante, Jomar Fajardo & Talaue, Cherryl Ortega, 2015. "Equilibrium switching and mathematical properties of nonlinear interaction networks with concurrent antagonism and self-stimulation," Chaos, Solitons & Fractals, Elsevier, vol. 73(C), pages 166-182.
    13. Kiara C Eldred & Cameron Avelis & Robert J Johnston Jr & Elijah Roberts, 2020. "Modeling binary and graded cone cell fate patterning in the mouse retina," PLOS Computational Biology, Public Library of Science, vol. 16(3), pages 1-25, March.
    14. Yoshihiro Hayashi & Yasushige Kamimura-Aoyagi & Sayuri Nishikawa & Rena Noka & Rika Iwata & Asami Iwabuchi & Yushin Watanabe & Natsumi Matsunuma & Kanako Yuki & Hiroki Kobayashi & Yuka Harada & Hirono, 2024. "IL36G-producing neutrophil-like monocytes promote cachexia in cancer," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    15. Hao Ge & Pingping Wu & Hong Qian & Xiaoliang Sunney Xie, 2018. "Relatively slow stochastic gene-state switching in the presence of positive feedback significantly broadens the region of bimodality through stabilizing the uninduced phenotypic state," PLOS Computational Biology, Public Library of Science, vol. 14(3), pages 1-24, March.
    16. Maria Arez & Melanie Eckersley-Maslin & Tajda Klobučar & João Gilsa Lopes & Felix Krueger & Annalisa Mupo & Ana Cláudia Raposo & David Oxley & Samantha Mancino & Anne-Valerie Gendrel & Bruno Bernardes, 2022. "Imprinting fidelity in mouse iPSCs depends on sex of donor cell and medium formulation," Nature Communications, Nature, vol. 13(1), pages 1-20, December.
    17. Michaela Luconi & Miguel A. Sogorb & Udo R. Markert & Emilio Benfenati & Tobias May & Susanne Wolbank & Alessandra Roncaglioni & Astrid Schmidt & Marco Straccia & Sabrina Tait, 2022. "Human-Based New Approach Methodologies in Developmental Toxicity Testing: A Step Ahead from the State of the Art with a Feto–Placental Organ-on-Chip Platform," IJERPH, MDPI, vol. 19(23), pages 1-31, November.
    18. Geethika Arekatla & Stavroula Skylaki & David Corredor Suarez & Hartland Jackson & Denis Schapiro & Stefanie Engler & Markus Auler & German Camargo Ortega & Simon Hastreiter & Andreas Reimann & Dirk L, 2024. "Identification of an embryonic differentiation stage marked by Sox1 and FoxA2 co-expression using combined cell tracking and high dimensional protein imaging," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    19. Paraskevi Athanasouli & Martina Balli & Anchel Jaime-Soguero & Annekatrien Boel & Sofia Papanikolaou & Bernard K. Veer & Adrian Janiszewski & Tijs Vanhessche & Annick Francis & Youssef El Laithy & Ant, 2023. "The Wnt/TCF7L1 transcriptional repressor axis drives primitive endoderm formation by antagonizing naive and formative pluripotency," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    20. Giulia Schiroli & Vinay Kartha & Fabiana M. Duarte & Trine A. Kristiansen & Christina Mayerhofer & Rojesh Shrestha & Andrew Earl & Yan Hu & Tristan Tay & Catherine Rhee & Jason D. Buenrostro & David T, 2024. "Cell of origin epigenetic priming determines susceptibility to Tet2 mutation," Nature Communications, Nature, vol. 15(1), pages 1-20, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pcbi00:1006405. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ploscompbiol (email available below). General contact details of provider: https://journals.plos.org/ploscompbiol/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.