Advances in 3D peptide hydrogel models in cancer research

Abstract In vitro cell culture models on monolayer surfaces (2D) have been widely adapted for identification of chemopreventive food compounds and food safety evaluation. However, the low correlation between 2D models and in vivo animal models has always been a concern; this gap is mainly caused by...

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Autores principales: Jingwen Xu, Guangyan Qi, Weiqun Wang, Xiuzhi Susan Sun
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:9fd4436a418142b4a8c1ac39ae78dcab2021-12-02T15:02:30ZAdvances in 3D peptide hydrogel models in cancer research10.1038/s41538-021-00096-12396-8370https://doaj.org/article/9fd4436a418142b4a8c1ac39ae78dcab2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41538-021-00096-1https://doaj.org/toc/2396-8370Abstract In vitro cell culture models on monolayer surfaces (2D) have been widely adapted for identification of chemopreventive food compounds and food safety evaluation. However, the low correlation between 2D models and in vivo animal models has always been a concern; this gap is mainly caused by the lack of a three-dimensional (3D) extracellular microenvironment. In 2D models, cell behaviors and functionalities are altered, resulting in varied responses to external conditions (i.e., antioxidants) and hence leading to low predictability. Peptide hydrogel 3D scaffolding technologies, such as PGmatrix for cell culture, have been recently reported to grow organoid-like spheroids physiologically mimicking the 3D microenvironment that can be used as an in vitro 3D model for investigating cell activities, which is anticipated to improve the prediction rate. Thus, this review focuses on advances in 3D peptide hydrogels aiming to introduce 3D cell culture tools as in vitro 3D models for cancer-related research regarding food safety and nutraceuticals.Jingwen XuGuangyan QiWeiqun WangXiuzhi Susan SunNature PortfolioarticleNutrition. Foods and food supplyTX341-641Food processing and manufactureTP368-456ENnpj Science of Food, Vol 5, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Nutrition. Foods and food supply
TX341-641
Food processing and manufacture
TP368-456
spellingShingle Nutrition. Foods and food supply
TX341-641
Food processing and manufacture
TP368-456
Jingwen Xu
Guangyan Qi
Weiqun Wang
Xiuzhi Susan Sun
Advances in 3D peptide hydrogel models in cancer research
description Abstract In vitro cell culture models on monolayer surfaces (2D) have been widely adapted for identification of chemopreventive food compounds and food safety evaluation. However, the low correlation between 2D models and in vivo animal models has always been a concern; this gap is mainly caused by the lack of a three-dimensional (3D) extracellular microenvironment. In 2D models, cell behaviors and functionalities are altered, resulting in varied responses to external conditions (i.e., antioxidants) and hence leading to low predictability. Peptide hydrogel 3D scaffolding technologies, such as PGmatrix for cell culture, have been recently reported to grow organoid-like spheroids physiologically mimicking the 3D microenvironment that can be used as an in vitro 3D model for investigating cell activities, which is anticipated to improve the prediction rate. Thus, this review focuses on advances in 3D peptide hydrogels aiming to introduce 3D cell culture tools as in vitro 3D models for cancer-related research regarding food safety and nutraceuticals.
format article
author Jingwen Xu
Guangyan Qi
Weiqun Wang
Xiuzhi Susan Sun
author_facet Jingwen Xu
Guangyan Qi
Weiqun Wang
Xiuzhi Susan Sun
author_sort Jingwen Xu
title Advances in 3D peptide hydrogel models in cancer research
title_short Advances in 3D peptide hydrogel models in cancer research
title_full Advances in 3D peptide hydrogel models in cancer research
title_fullStr Advances in 3D peptide hydrogel models in cancer research
title_full_unstemmed Advances in 3D peptide hydrogel models in cancer research
title_sort advances in 3d peptide hydrogel models in cancer research
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/9fd4436a418142b4a8c1ac39ae78dcab
work_keys_str_mv AT jingwenxu advancesin3dpeptidehydrogelmodelsincancerresearch
AT guangyanqi advancesin3dpeptidehydrogelmodelsincancerresearch
AT weiqunwang advancesin3dpeptidehydrogelmodelsincancerresearch
AT xiuzhisusansun advancesin3dpeptidehydrogelmodelsincancerresearch
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