Literature DB >> 19091945

Four-dimensional realistic modeling of pancreatic organogenesis.

Yaki Setty1, Irun R Cohen, Yuval Dor, David Harel.   

Abstract

Organogenesis, the process by which organs develop from individual precursor stem cells, requires that the precursor cells proliferate, differentiate, and aggregate to form a functioning structure. This process progresses through changes in 4 dimensions: time and 3 dimensions of space-4D. Experimental analysis of organogenesis, by its nature, cuts the 4D developmental process into static, 2D histological images or into molecular or cellular markers and interactions with little or no spatial dimensionality and minimal dynamics. Understanding organogenesis requires integration of the piecemeal experimental data into a running, realistic and interactive 4D simulation that allows experimentation and hypothesis testing in silico. Here, we describe a fully executable, interactive, visual model for 4D simulation of organogenic development using the mouse pancreas as a representative case. Execution of the model provided a dynamic description of pancreas development, culminating in a structure that remarkably recapitulated morphologic features seen in the embryonic pancreas. In silico mutations in key signaling molecules resulted in altered patterning of the developing pancreas that were in general agreement with in vivo data. The modeling approach described here thus typifies a useful platform for studying organogenesis as a phenomenon in 4 dimensions.

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Year:  2008        PMID: 19091945      PMCID: PMC2629264          DOI: 10.1073/pnas.0808725105

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  26 in total

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Authors:  Helena Edlund
Journal:  Nat Rev Genet       Date:  2002-07       Impact factor: 53.242

Review 2.  The heart cell in silico: successes, failures and prospects.

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Journal:  Novartis Found Symp       Date:  2002

Review 3.  Role of endothelial cells in early pancreas and liver development.

Authors:  Eckhard Lammert; Ondine Cleaver; Douglas Melton
Journal:  Mech Dev       Date:  2003-01       Impact factor: 1.882

4.  Paths to the pancreas.

Authors:  Roque Bort; Ken Zaret
Journal:  Nat Genet       Date:  2002-09       Impact factor: 38.330

5.  Induction of pancreatic differentiation by signals from blood vessels.

Authors:  E Lammert; O Cleaver; D Melton
Journal:  Science       Date:  2001-09-27       Impact factor: 47.728

6.  Distinct mesodermal signals, including BMPs from the septum transversum mesenchyme, are required in combination for hepatogenesis from the endoderm.

Authors:  J M Rossi; N R Dunn; B L Hogan; K S Zaret
Journal:  Genes Dev       Date:  2001-08-01       Impact factor: 11.361

Review 7.  Signaling and transcriptional control of pancreatic organogenesis.

Authors:  Seung K Kim; Raymond J MacDonald
Journal:  Curr Opin Genet Dev       Date:  2002-10       Impact factor: 5.578

Review 8.  An illustrated review of early pancreas development in the mouse.

Authors:  Mette Christine Jørgensen; Jonas Ahnfelt-Rønne; Jacob Hald; Ole D Madsen; Palle Serup; Jacob Hecksher-Sørensen
Journal:  Endocr Rev       Date:  2007-09-19       Impact factor: 19.871

9.  Fgf10 is essential for maintaining the proliferative capacity of epithelial progenitor cells during early pancreatic organogenesis.

Authors:  A Bhushan; N Itoh; S Kato; J P Thiery; P Czernichow; S Bellusci; R Scharfmann
Journal:  Development       Date:  2001-12       Impact factor: 6.868

10.  Adult insulin- and glucagon-producing cells differentiate from two independent cell lineages.

Authors:  P L Herrera
Journal:  Development       Date:  2000-06       Impact factor: 6.868

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  27 in total

1.  A model of stem cell population dynamics: in silico analysis and in vivo validation.

Authors:  Yaki Setty; Diana Dalfó; Dorota Z Korta; E Jane Albert Hubbard; Hillel Kugler
Journal:  Development       Date:  2012-01       Impact factor: 6.868

2.  Tech meets bio.

Authors:  Monica Heger
Journal:  Nat Med       Date:  2010-08       Impact factor: 53.440

Review 3.  The executable pathway to biological networks.

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Journal:  Brief Funct Genomics       Date:  2010-01       Impact factor: 4.241

4.  Deep reinforcement learning of cell movement in the early stage of C.elegans embryogenesis.

Authors:  Zi Wang; Dali Wang; Chengcheng Li; Yichi Xu; Husheng Li; Zhirong Bao
Journal:  Bioinformatics       Date:  2018-09-15       Impact factor: 6.937

Review 5.  Cellular plasticity within the pancreas--lessons learned from development.

Authors:  Sapna Puri; Matthias Hebrok
Journal:  Dev Cell       Date:  2010-03-16       Impact factor: 12.270

6.  Phenotypic transition maps of 3D breast acini obtained by imaging-guided agent-based modeling.

Authors:  Jonathan Tang; Heiko Enderling; Sabine Becker-Weimann; Christopher Pham; Aris Polyzos; Chen-Yi Chen; Sylvain V Costes
Journal:  Integr Biol (Camb)       Date:  2011-03-04       Impact factor: 2.192

7.  Systems biology of embryogenesis.

Authors:  Lucas B Edelman; Sriram Chandrasekaran; Nathan D Price
Journal:  Reprod Fertil Dev       Date:  2010       Impact factor: 2.311

8.  Biocharts: a visual formalism for complex biological systems.

Authors:  Hillel Kugler; Antti Larjo; David Harel
Journal:  J R Soc Interface       Date:  2009-12-18       Impact factor: 4.118

9.  Logic programming to predict cell fate patterns and retrodict genotypes in organogenesis.

Authors:  Benjamin A Hall; Ethan Jackson; Alex Hajnal; Jasmin Fisher
Journal:  J R Soc Interface       Date:  2014-09-06       Impact factor: 4.118

Review 10.  Engineering the human pluripotent stem cell microenvironment to direct cell fate.

Authors:  Laurie B Hazeltine; Joshua A Selekman; Sean P Palecek
Journal:  Biotechnol Adv       Date:  2013-03-17       Impact factor: 14.227

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