In vitro and in silico approaches to engineering three-dimensional biological tissues and organoids
In vitro and in silico approaches to engineering three-dimensional biological tissues and organoids
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DOI:
10.1098/rsfs.2022.0046
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发表时间:
2022-08-12
期刊:
影响因子:
4.4
通讯作者:
中科院分区:
文献类型:
--
作者:
Although the central roles played by two-dimensional (2D) cell models and animal models in increasing fundamental understanding of cell biology are undisputed, neither can accurately recapitulate the physiology of human tissues and their pharmacological responses to different perturbations. For example, up to 50% of compounds eliciting liver injury in man do not show similar effects in animal studies [1]. Increasing awareness of these deficiencies has led to the development of a range of three-dimensional (3D) cell culture models of human tissues that include unicellular and multi-cellular models based on known cellular compositions of particular human tissues, and tissue stem cell-derived organoids, collectively termed here microtissues. These have enormous potential for helping to elucidate human physiology, mechanisms of disease and their safe treatment [2]. Exploitation of 3D models is limited by several major challenges. Drug discovery, cell therapy and personalized medicine applications require new technologies that replicate biophysical cell growth conditions, enhance the reproducibility of microtissue handling and, importantly, provide analytical options that capture the complexity of the cellular structures that can be generated. This requires sustained interdisciplinary collaborations and innovations in the physical sciences. Indeed, the translation of many routine research methods from 2D to 3D is challenging. This special edition showcases current research which aims to tackle some of the challenges associated with developing 3D tissues. The contributions come from members of an MRC-funded network 3DBioNet which aims to establish multi-disciplinary teams of scientists from industry and academia who together possess the diverse skills needed to develop 3D microtissues. As explained below, the five, featured articles span experimental methods for organoid development [3], the use of 3D scaffolds to promote wound healing [4], software for reconstructing and analysing 3D structures from 2D microscopy images [5], methods for quantifying cell numbers in 3D organoids [6] and mathematical and computational modelling [7]. With its focus on in vitro models of neurodegenerative diseases (NDDs) and increasing awareness that their prevalence is likely to increase as populations age, the article by Bhargava et al.[3] highlights the clinical and therapeutic drivers for the development and application of human organoids. While animal models provide useful information about the pathogenesis and pathobiology of NDDs, their use is limited as they often overexpress mutant proteins, obscuring details about the onset and progression of NDDS. These factors, combined with increased awareness of the ethical issues associated with animal experiments and technical difficulties with using appropriate tissue from NDD patients, are driving the development of in vitro models involving induced pluripotent stem cells (iPSCs) to study NDD onset and progression. iPSCs have self-renewal properties and can differentiate into multiple cell types, including motor neurons, astrocytes and microglia and, as such, can be used to understand NDDs. In their article, Bhargava et al.[3] provide a comprehensive review of existing in vitro methods for using iPSCs to study NDDs, focusing on the pros and cons of 2D and 3D techniques.
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影响因子:
2
作者:
Celora, Giulia L.;Bader, Samuel B.;Byrne, Helen M.
通讯作者:
Byrne, Helen M.
DOI:
10.1002/hep.28886
发表时间:
2017-02
期刊:
Hepatology (Baltimore, Md.)
影响因子:
--
作者:
Goldring C;Antoine DJ;Bonner F;Crozier J;Denning C;Fontana RJ;Hanley NA;Hay DC;Ingelman-Sundberg M;Juhila S;Kitteringham N;Silva-Lima B;Norris A;Pridgeon C;Ross JA;Young RS;Tagle D;Tornesi B;van de Water B;Weaver RJ;Zhang F;Park BK
通讯作者:
Park BK
影响因子:
3.5
作者:
Collis, Joe;Connor, Anthony J.;Hubbard, Matthew E.
通讯作者:
Hubbard, Matthew E.
影响因子:
4.4
作者:
Leedale, Joseph A.;Kyffin, Jonathan A.;Bearon, Rachel N.
通讯作者:
Bearon, Rachel N.
影响因子:
4.4
作者:
Hyndman, Lauren;McKee, Sean;McGinty, Sean
通讯作者:
McGinty, Sean