Literature DB >> 24508463

Determining lineage pathways from cellular barcoding experiments.

Leïla Perié1, Philip D Hodgkin2, Shalin H Naik2, Ton N Schumacher3, Rob J de Boer4, Ken R Duffy5.   

Abstract

Cellular barcoding and other single-cell lineage-tracing strategies form experimental methodologies for analysis of in vivo cell fate that have been instrumental in several significant recent discoveries. Due to the highly nonlinear nature of proliferation and differentiation, interrogation of the resulting data for evaluation of potential lineage pathways requires a new quantitative framework complete with appropriate statistical tests. Here, we develop such a framework, illustrating its utility by analyzing data from barcoded multipotent cells of the blood system. This application demonstrates that the data require additional paths beyond those found in the classical model, which leads us to propose that hematopoietic differentiation follows a loss of potential mechanism and to suggest further experiments to test this deduction. Our quantitative framework can evaluate the compatibility of lineage trees with barcoded data from any proliferating and differentiating cell system.
Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

Mesh:

Year:  2014        PMID: 24508463     DOI: 10.1016/j.celrep.2014.01.016

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


  13 in total

1.  Inferring average generation via division-linked labeling.

Authors:  Tom S Weber; Leïla Perié; Ken R Duffy
Journal:  J Math Biol       Date:  2016-01-05       Impact factor: 2.259

Review 2.  Single-cell RNA sequencing to explore immune cell heterogeneity.

Authors:  Efthymia Papalexi; Rahul Satija
Journal:  Nat Rev Immunol       Date:  2017-08-07       Impact factor: 53.106

Review 3.  Single-cell omics in ageing: a young and growing field.

Authors:  Xiaojuan He; Sebastian Memczak; Jing Qu; Juan Carlos Izpisua Belmonte; Guang-Hui Liu
Journal:  Nat Metab       Date:  2020-04-20

Review 4.  Mathematics in modern immunology.

Authors:  Mario Castro; Grant Lythe; Carmen Molina-París; Ruy M Ribeiro
Journal:  Interface Focus       Date:  2016-04-06       Impact factor: 3.906

5.  More or less-On the influence of labelling strategies to infer cell population dynamics.

Authors:  Michael Gabel; Roland R Regoes; Frederik Graw
Journal:  PLoS One       Date:  2017-10-18       Impact factor: 3.240

6.  Selective Expression of Flt3 within the Mouse Hematopoietic Stem Cell Compartment.

Authors:  Ciaran James Mooney; Alan Cunningham; Panagiotis Tsapogas; Kai-Michael Toellner; Geoffrey Brown
Journal:  Int J Mol Sci       Date:  2017-05-12       Impact factor: 5.923

Review 7.  Understanding hematopoiesis from a single-cell standpoint.

Authors:  Konstantinos D Kokkaliaris; Daniel Lucas; Isabel Beerman; David G Kent; Leïla Perié
Journal:  Exp Hematol       Date:  2016-03-18       Impact factor: 3.084

Review 8.  Gene Therapy for X-Linked Severe Combined Immunodeficiency: Where Do We Stand?

Authors:  Marina Cavazzana; Emmanuelle Six; Chantal Lagresle-Peyrou; Isabelle André-Schmutz; Salima Hacein-Bey-Abina
Journal:  Hum Gene Ther       Date:  2016-02       Impact factor: 5.695

9.  Site-specific recombinatorics: in situ cellular barcoding with the Cre Lox system.

Authors:  Tom S Weber; Mark Dukes; Denise C Miles; Stefan P Glaser; Shalin H Naik; Ken R Duffy
Journal:  BMC Syst Biol       Date:  2016-06-30

10.  In Vivo Tracking of Human Hematopoiesis Reveals Patterns of Clonal Dynamics during Early and Steady-State Reconstitution Phases.

Authors:  Luca Biasco; Danilo Pellin; Serena Scala; Francesca Dionisio; Luca Basso-Ricci; Lorena Leonardelli; Samantha Scaramuzza; Cristina Baricordi; Francesca Ferrua; Maria Pia Cicalese; Stefania Giannelli; Victor Neduva; David J Dow; Manfred Schmidt; Christof Von Kalle; Maria Grazia Roncarolo; Fabio Ciceri; Paola Vicard; Ernst Wit; Clelia Di Serio; Luigi Naldini; Alessandro Aiuti
Journal:  Cell Stem Cell       Date:  2016-05-26       Impact factor: 24.633

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