Literature DB >> 25946995

Abstracting the principles of development using imaging and modeling.

Fengzhu Xiong1, Sean G Megason.   

Abstract

Here we look at modern developmental biology with a focus on the relationship between different approaches of investigation. We argue that direct imaging is a powerful approach not only for obtaining descriptive information but also for model generation and testing that lead to mechanistic insights. Modeling, on the other hand, conceptualizes imaging data and provides guidance to perturbations. The inquiry progresses most efficiently when a trinity of approaches—quantitative imaging (measurement), modeling (theory) and perturbation (test)—are pursued in concert, but not when one approach is dominant. Using recent studies of the zebrafish system, we show how this combination has effectively advanced classic topics in developmental biology compared to a perturbation-centric approach. Finally, we show that interdisciplinary expertise and perhaps specialization are necessary for carrying out a systematic approach, and discuss the technical hurdles.

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Year:  2015        PMID: 25946995      PMCID: PMC4461478          DOI: 10.1039/c5ib00025d

Source DB:  PubMed          Journal:  Integr Biol (Camb)        ISSN: 1757-9694            Impact factor:   2.192


  41 in total

1.  Gut-on-a-Chip microenvironment induces human intestinal cells to undergo villus differentiation.

Authors:  Hyun Jung Kim; Donald E Ingber
Journal:  Integr Biol (Camb)       Date:  2013-09       Impact factor: 2.192

Review 2.  Imaging morphogenesis: technological advances and biological insights.

Authors:  Philipp J Keller
Journal:  Science       Date:  2013-06-07       Impact factor: 47.728

3.  The chemical basis of morphogenesis. 1953.

Authors:  A M Turing
Journal:  Bull Math Biol       Date:  1990       Impact factor: 1.758

4.  Genome-wide RNA Tomography in the zebrafish embryo.

Authors:  Jan Philipp Junker; Emily S Noël; Victor Guryev; Kevin A Peterson; Gopi Shah; Jan Huisken; Andrew P McMahon; Eugene Berezikov; Jeroen Bakkers; Alexander van Oudenaarden
Journal:  Cell       Date:  2014-10-23       Impact factor: 41.582

5.  iDISCO: a simple, rapid method to immunolabel large tissue samples for volume imaging.

Authors:  Nicolas Renier; Zhuhao Wu; David J Simon; Jing Yang; Pablo Ariel; Marc Tessier-Lavigne
Journal:  Cell       Date:  2014-10-30       Impact factor: 41.582

6.  Whole-body imaging with single-cell resolution by tissue decolorization.

Authors:  Kazuki Tainaka; Shimpei I Kubota; Takeru Q Suyama; Etsuo A Susaki; Dimitri Perrin; Maki Ukai-Tadenuma; Hideki Ukai; Hiroki R Ueda
Journal:  Cell       Date:  2014-11-06       Impact factor: 41.582

7.  Fast, accurate reconstruction of cell lineages from large-scale fluorescence microscopy data.

Authors:  Fernando Amat; William Lemon; Daniel P Mossing; Katie McDole; Yinan Wan; Kristin Branson; Eugene W Myers; Philipp J Keller
Journal:  Nat Methods       Date:  2014-07-20       Impact factor: 28.547

Review 8.  Advances in whole-embryo imaging: a quantitative transition is underway.

Authors:  Periklis Pantazis; Willy Supatto
Journal:  Nat Rev Mol Cell Biol       Date:  2014-04-16       Impact factor: 94.444

Review 9.  Advances in fluorescence labeling strategies for dynamic cellular imaging.

Authors:  Kevin M Dean; Amy E Palmer
Journal:  Nat Chem Biol       Date:  2014-07       Impact factor: 15.040

10.  Interplay of cell shape and division orientation promotes robust morphogenesis of developing epithelia.

Authors:  Fengzhu Xiong; Wenzhe Ma; Tom W Hiscock; Kishore R Mosaliganti; Andrea R Tentner; Kenneth A Brakke; Nicolas Rannou; Arnaud Gelas; Lydie Souhait; Ian A Swinburne; Nikolaus D Obholzer; Sean G Megason
Journal:  Cell       Date:  2014-10-09       Impact factor: 41.582

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  4 in total

Review 1.  Shaping Cell Fate: Influence of Topographical Substratum Properties on Embryonic Stem Cells.

Authors:  Sarita Kumari; Steven Vermeulen; Ben van der Veer; Aurélie Carlier; Jan de Boer; Deepa Subramanyam
Journal:  Tissue Eng Part B Rev       Date:  2018-03-27       Impact factor: 6.389

2.  Capabilities and Limitations of Tissue Size Control through Passive Mechanical Forces.

Authors:  Jochen Kursawe; Pavel A Brodskiy; Jeremiah J Zartman; Ruth E Baker; Alexander G Fletcher
Journal:  PLoS Comput Biol       Date:  2015-12-29       Impact factor: 4.475

3.  An integrated modelling framework from cells to organism based on a cohort of digital embryos.

Authors:  Paul Villoutreix; Julien Delile; Barbara Rizzi; Louise Duloquin; Thierry Savy; Paul Bourgine; René Doursat; Nadine Peyriéras
Journal:  Sci Rep       Date:  2016-12-02       Impact factor: 4.379

4.  Ten steps to investigate a cellular system with mathematical modeling.

Authors:  Jasia King; Kerbaï Saïd Eroumé; Roman Truckenmüller; Stefan Giselbrecht; Ann E Cowan; Leslie Loew; Aurélie Carlier
Journal:  PLoS Comput Biol       Date:  2021-05-13       Impact factor: 4.475

  4 in total

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