Literature DB >> 26566114

Studying lineage decision-making in vitro: emerging concepts and novel tools.

Stefan Semrau1, Alexander van Oudenaarden.   

Abstract

Correct and timely lineage decisions are critical for normal embryonic development and homeostasis of adult tissues. Therefore, the search for fundamental principles that underlie lineage decision-making lies at the heart of developmental biology. Here, we review attempts to understand lineage decision-making as the interplay of single-cell heterogeneity and gene regulation. Fluctuations at the single-cell level are an important driving force behind cell-state transitions and the creation of cell-type diversity. Gene regulatory networks amplify such fluctuations and define stable cell types. They also mediate the influence of signaling inputs on the lineage decision. In this review, we focus on insights gleaned from in vitro differentiation of embryonic stem cells. We discuss emerging concepts, with an emphasis on transcriptional regulation, dynamical aspects of differentiation, and functional single-cell heterogeneity. We also highlight some novel tools to study lineage decision-making in vitro.

Keywords:  embryonic stem cells; gene regulatory networks; in vitro differentiation; lineage decision-making; single-cell heterogeneity

Mesh:

Year:  2015        PMID: 26566114     DOI: 10.1146/annurev-cellbio-100814-125300

Source DB:  PubMed          Journal:  Annu Rev Cell Dev Biol        ISSN: 1081-0706            Impact factor:   13.827


  17 in total

1.  Nanog dynamics in single embryonic stem cells.

Authors:  Simon Hastreiter; Timm Schroeder
Journal:  Cell Cycle       Date:  2016       Impact factor: 4.534

Review 2.  Single-cell genome-wide studies give new insight into nongenetic cell-to-cell variability in animals.

Authors:  Arkadiy K Golov; Sergey V Razin; Alexey A Gavrilov
Journal:  Histochem Cell Biol       Date:  2016-07-13       Impact factor: 4.304

Review 3.  Criticality in cell differentiation.

Authors:  Indrani Bose; Mainak Pal
Journal:  J Biosci       Date:  2017-12       Impact factor: 1.826

Review 4.  Imaging Transcription: Past, Present, and Future.

Authors:  Robert A Coleman; Zhe Liu; Xavier Darzacq; Robert Tjian; Robert H Singer; Timothée Lionnet
Journal:  Cold Spring Harb Symp Quant Biol       Date:  2016-01-13

5.  SCOUP: a probabilistic model based on the Ornstein-Uhlenbeck process to analyze single-cell expression data during differentiation.

Authors:  Hirotaka Matsumoto; Hisanori Kiryu
Journal:  BMC Bioinformatics       Date:  2016-06-08       Impact factor: 3.169

Review 6.  Single cell analysis of the inner ear sensory organs.

Authors:  Ofer Yizhar-Barnea; Karen B Avraham
Journal:  Int J Dev Biol       Date:  2017       Impact factor: 2.203

7.  A protein phosphatase network controls the temporal and spatial dynamics of differentiation commitment in human epidermis.

Authors:  Ajay Mishra; Bénédicte Oulès; Angela Oliveira Pisco; Tony Ly; Kifayathullah Liakath-Ali; Gernot Walko; Priyalakshmi Viswanathan; Matthieu Tihy; Jagdeesh Nijjher; Sara-Jane Dunn; Angus I Lamond; Fiona M Watt
Journal:  Elife       Date:  2017-10-18       Impact factor: 8.140

8.  Dynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells.

Authors:  Stefan Semrau; Johanna E Goldmann; Magali Soumillon; Tarjei S Mikkelsen; Rudolf Jaenisch; Alexander van Oudenaarden
Journal:  Nat Commun       Date:  2017-10-23       Impact factor: 14.919

9.  An extended model for culture-dependent heterogenous gene expression and proliferation dynamics in mouse embryonic stem cells.

Authors:  Simon Godwin; Daniel Ward; Elisa Pedone; Martin Homer; Alexander G Fletcher; Lucia Marucci
Journal:  NPJ Syst Biol Appl       Date:  2017-08-03

10.  Dissecting regulatory pathways for transcription recovery following DNA damage reveals a non-canonical function of the histone chaperone HIRA.

Authors:  Déborah Bouvier; Juliette Ferrand; Odile Chevallier; Michelle T Paulsen; Mats Ljungman; Sophie E Polo
Journal:  Nat Commun       Date:  2021-06-22       Impact factor: 14.919

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