Literature DB >> 29134681

Gravity Constraints Drive Biological Systems Toward Specific Organization Patterns: Commitment of cell specification is constrained by physical cues.

Mariano Bizzarri1, Maria Grazia Masiello1,2, Alessandro Giuliani3, Alessandra Cucina2.   

Abstract

Different cell lineages growing in microgravity undergo a spontaneous transition leading to the emergence of two distinct phenotypes. By returning these populations in a normal gravitational field, the two phenotypes collapse, recovering their original configuration. In this review, we hypothesize that, once the gravitational constraint is removed, the system freely explores its phenotypic space, while, when in a gravitational field, cells are "constrained" to adopt only one favored configuration. We suggest that the genome allows for a wide range of "possibilities" but it is unable per se to choose among them: the emergence of a specific phenotype is enabled by physical constraints that drive the system toward a preferred solution. These findings may help in understanding how cells and tissues behave in both development and cancer.
© 2017 WILEY Periodicals, Inc.

Entities:  

Keywords:  biological organization principles; cell fate transition; differentiation; dissipative systems; microgravity; physical constraints

Mesh:

Year:  2017        PMID: 29134681     DOI: 10.1002/bies.201700138

Source DB:  PubMed          Journal:  Bioessays        ISSN: 0265-9247            Impact factor:   4.345


  8 in total

1.  Testing 3D printed biological platform for advancing simulated microgravity and space mechanobiology research.

Authors:  Giulia Silvani; Peta Bradbury; Carin Basirun; Christine Mehner; Detina Zalli; Kate Poole; Joshua Chou
Journal:  NPJ Microgravity       Date:  2022-06-03       Impact factor: 4.970

2.  Rethinking Causation for Data-intensive Biology: Constraints, Cancellations, and Quantized Organisms: Causality in complex organisms is sculpted by constraints rather than instigators, with outcomes perhaps better described by quantized patterns than rectilinear pathways.

Authors:  Douglas E Brash
Journal:  Bioessays       Date:  2020-06-02       Impact factor: 4.345

3.  Simulated microgravity promotes the formation of tridimensional cultures and stimulates pluripotency and a glycolytic metabolism in human hepatic and biliary tree stem/progenitor cells.

Authors:  Daniele Costantini; Diletta Overi; Luca Casadei; Vincenzo Cardinale; Lorenzo Nevi; Guido Carpino; Sabina Di Matteo; Samira Safarikia; Mariacristina Valerio; Fabio Melandro; Mariano Bizzarri; Cesare Manetti; Pasquale Bartolomeo Berloco; Eugenio Gaudio; Domenico Alvaro
Journal:  Sci Rep       Date:  2019-04-03       Impact factor: 4.379

4.  Simulated microgravity with floating environment promotes migration of non-small cell lung cancers.

Authors:  Chi Bum Ahn; Ji-Hyun Lee; Dae Geun Han; Hyun-Wook Kang; Sung-Ho Lee; Jae-Ik Lee; Kuk Hui Son; Jin Woo Lee
Journal:  Sci Rep       Date:  2019-10-10       Impact factor: 4.379

5.  Antioxidant Strategy to Prevent Simulated Microgravity-Induced Effects on Bone Osteoblasts.

Authors:  Caterina Morabito; Simone Guarnieri; Alessandra Cucina; Mariano Bizzarri; Maria A Mariggiò
Journal:  Int J Mol Sci       Date:  2020-05-21       Impact factor: 5.923

6.  Changes in the Surface Expression of Intercellular Adhesion Molecule 3, the Induction of Apoptosis, and the Inhibition of Cell-Cycle Progression of Human Multidrug-Resistant Jurkat/A4 Cells Exposed to a Random Positioning Machine.

Authors:  Alisa Sokolovskaya; Ekaterina Korneeva; Danila Zaichenko; Edward Virus; Dmitry Kolesov; Aleksey Moskovtsev; Aslan Kubatiev
Journal:  Int J Mol Sci       Date:  2020-01-28       Impact factor: 5.923

7.  Effects of Simulated Microgravity on Wild Type and Marfan hiPSCs-Derived Embryoid Bodies.

Authors:  Paola Spitalieri; Mario Marini; Maria Giovanna Scioli; Michela Murdocca; Giuliana Longo; Augusto Orlandi; Giuseppe Novelli; Federica Sangiuolo
Journal:  Cell Mol Bioeng       Date:  2021-06-07       Impact factor: 2.321

8.  Reverse engineering of a mechanistic model of gene expression using metastability and temporal dynamics.

Authors:  Elias Ventre
Journal:  In Silico Biol       Date:  2021
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.