Literature DB >> 27474807

Tracing cellular dynamics in tissue development, maintenance and disease.

Steffen Rulands1, Benjamin D Simons2.   

Abstract

The coordination of cell proliferation and differentiation is central to the development and maintenance of tissues, while its dysregulation underlies the transition to diseased states. By combining lineage tracing with transcriptional profiling and marker-based assays, statistical methods are delivering insights into the dynamics of stem cells and their developmental precursors. These studies have provided evidence for molecular heterogeneity and fate priming, and have revealed a role for stochasticity in stem cell fate, refocusing the search for regulatory mechanisms. At the same time, they present a quantitative platform to study the initiation and progression of disease. Here, we review how quantitative lineage tracing strategies are shaping our understanding of the cellular mechanisms of tissue development, maintenance and disease.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27474807     DOI: 10.1016/j.ceb.2016.07.001

Source DB:  PubMed          Journal:  Curr Opin Cell Biol        ISSN: 0955-0674            Impact factor:   8.382


  14 in total

Review 1.  Embryonic Chicken (Gallus gallus domesticus) as a Model of Cardiac Biology and Development.

Authors:  José G Vilches-Moure
Journal:  Comp Med       Date:  2019-06-10       Impact factor: 0.982

2.  A Model for Adult Organ Resizing Demonstrates Stem Cell Scaling through a Tunable Commitment Rate.

Authors:  XinXin Du; Lucy Erin O'Brien; Ingmar Hans Riedel-Kruse
Journal:  Biophys J       Date:  2017-07-11       Impact factor: 4.033

3.  A computational model of stem cells' decision-making mechanism to maintain tissue homeostasis and organization in the presence of stochasticity.

Authors:  Najme Khorasani; Mehdi Sadeghi
Journal:  Sci Rep       Date:  2022-06-02       Impact factor: 4.996

Review 4.  The Vascular Wall: a Plastic Hub of Activity in Cardiovascular Homeostasis and Disease.

Authors:  Cassandra P Awgulewitsch; Linh T Trinh; Antonis K Hatzopoulos
Journal:  Curr Cardiol Rep       Date:  2017-06       Impact factor: 2.931

Review 5.  How computational models contribute to our understanding of the germ line.

Authors:  Kathryn Atwell; Sara-Jane Dunn; James M Osborne; Hillel Kugler; E Jane Albert Hubbard
Journal:  Mol Reprod Dev       Date:  2016-10-07       Impact factor: 2.609

Review 6.  Regeneration Genetics.

Authors:  Chen-Hui Chen; Kenneth D Poss
Journal:  Annu Rev Genet       Date:  2017-08-30       Impact factor: 16.830

7.  Monitoring Tissue Regeneration at Single-Cell Resolution.

Authors:  Stefano Di Talia; Kenneth D Poss
Journal:  Cell Stem Cell       Date:  2016-10-06       Impact factor: 24.633

Review 8.  Bifacial stem cell niches in fish and plants.

Authors:  Dongbo Shi; Tinatini Tavhelidse; Thomas Thumberger; Joachim Wittbrodt; Thomas Greb
Journal:  Curr Opin Genet Dev       Date:  2017-02-24       Impact factor: 5.578

9.  Microproteomics with microfluidic-based cell sorting: Application to 1000 and 100 immune cells.

Authors:  Kie Kasuga; Yasutake Katoh; Keisuke Nagase; Kazuhiko Igarashi
Journal:  Proteomics       Date:  2017-07-04       Impact factor: 3.984

10.  Fate mapping of human glioblastoma reveals an invariant stem cell hierarchy.

Authors:  Xiaoyang Lan; David J Jörg; Florence M G Cavalli; Laura M Richards; Long V Nguyen; Robert J Vanner; Paul Guilhamon; Lilian Lee; Michelle M Kushida; Davide Pellacani; Nicole I Park; Fiona J Coutinho; Heather Whetstone; Hayden J Selvadurai; Clare Che; Betty Luu; Annaick Carles; Michelle Moksa; Naghmeh Rastegar; Renee Head; Sonam Dolma; Panagiotis Prinos; Michael D Cusimano; Sunit Das; Mark Bernstein; Cheryl H Arrowsmith; Andrew J Mungall; Richard A Moore; Yussanne Ma; Marco Gallo; Mathieu Lupien; Trevor J Pugh; Michael D Taylor; Martin Hirst; Connie J Eaves; Benjamin D Simons; Peter B Dirks
Journal:  Nature       Date:  2017-08-30       Impact factor: 49.962

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