Researchers use biomolecule-loaded metal-organic frameworks nanopatterns to aid artificial stem cell differentiation
Stem cells are essentially our body’s raw materials—cells that give rise to all other cells and tissues with specialized functions. The conversion into specific cells occurs through a process called “differentiation,” in which stem cells divide to form daughter cells. This lends itself to practical applications in regenerative therapy, where functional healthy cells generated from stem cells can be used to cure injuries and cellular damages in our body.
However, things are easier said than done. Performing stem cell differentiation in the laboratory requires meticulous preparation and addition of differentiation factors into a cell cultivation medium, a laborious and time-consuming process. Moreover, it is largely reliant on the researcher’s skill. In light of this, a new platform that facilitates a stable supply of differentiation factors over a long period is highly desirable.
In a new study, researchers from Korea, led by Associate Professor Tae-Hyung Kim of school of integrative engineering at Chung-Ang university, came up with an ingenious solution. They developed a novel platform based on metal-organic frameworks (MOFs), hybrid crystalline porous materials constructed using metal ions and organic ligands (ions/molecules attached to the metal ion). Due to their porous nature, MOFs are excellent for trapping and releasing molecules of interest over a long period of time. This gave the team the idea to use MOFs for storing and releasing biocompatible nanoparticles necessary for stem cell differentiation. This paper was published in Science Advances.
In their study, the team chose neural stem cells as a proof of concept and embedded nanoparticles loaded with retinoic acid, an essential component for neuronal differentiation, into the nanocrystalline MOF, nUiO-67. There was, however, one issue to be considered. “Adding nanoparticles directly to the cell cultivation medium may cause safety issues when used for therapeutic purposes and can also cause damage to the nanoparticle structures owing to the presence of redox enzymes and reactive oxygen species (ROS) in the intracellular environment,” explains Dr. Kim.
To get around this problem, the team separated the stem cells from MOFs by creating periodic pattern of nanopit arrays using a technique called “laser interference lithography.”
By optimizing these nanopit arrays such that each array captured a single MOF, the team came up with the platform called “single metal-organic framework (MOF) nanoparticle–embedded nanopit arrays (SMENA)” that could automatically convert stem cells into neurons.
SMENA offered two big advantages over the conventional method for in vitro stem cell differentiation. Firstly, it obviated all the complex experimental steps and typical issues related to cell contamination and batch-to-batch variation. Secondly, and surprisingly, the continuous and stable supply of differentiation factors made for accelerated differentiation, resulting in approximately 40-fold higher expression of neuronal cell markers (indicating the generation of neurons) compared to that for standard protocols.
These findings have excited the team about the future prospects of SMENA. “The platform developed in our study could facilitate and accelerate the use of various stem cell sources for clinical applications and drug screening. The functional cells produced through SMENA can be used to treat various diseases and disorders, including Alzheimer’s and Parkinson’s diseases,” speculates Dr. Kim. The paper was also recently featured as a research highlight in Nature Reviews Materials.
Engineering researchers develop porous nanoparticles for regenerative medicine
Yeon-Woo Cho et al, Single metal-organic framework–embedded nanopit arrays: A new way to control neural stem cell differentiation, Science Advances (2022). DOI: 10.1126/sciadv.abj7736
Chung Ang University
Researchers use biomolecule-loaded metal-organic frameworks nanopatterns to aid artificial stem cell differentiation (2022, June 9)
retrieved 9 June 2022
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.