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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Nature Portfolio
2021
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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) |
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Nutrition. Foods and food supply TX341-641 Food processing and manufacture TP368-456 |
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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 |
_version_ |
1718389093406081024 |