Nanobiosensing Platforms for Real-Time and Non-Invasive Monitoring of Stem Cell Pluripotency and Differentiation

Suhito, Intan Rosalina; Angeline, Novi; Choo, Sung-Sik; Woo, Ho Young; Paik, Taejong; Lee, Taek; Kim, Tae-Hyung

doi:10.3390/s18092755

Cited by 24 publications

(18 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To identify cell populations, conventional methods, such as immunochemical staining, fluorescence-activated cell sorting, qRT-PCR, and Western blotting, have been widely used to define and monitor cell differentiation status (11). However, most of these methods require destructive fixation or lysis steps and are generally time consuming (12), limiting their applications toward cell monitoring for clinical transplantation.…”

mentioning

confidence: 99%

A single-cell Raman-based platform to identify developmental stages of human pluripotent stem cell-derived neurons

Hsu

Brinkhof

et al. 2020

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

Stem cells with the capability to self-renew and differentiate into multiple cell derivatives provide platforms for drug screening and promising treatment options for a wide variety of neural diseases. Nevertheless, clinical applications of stem cells have been hindered partly owing to a lack of standardized techniques to characterize cell molecular profiles noninvasively and comprehensively. Here, we demonstrate that a label-free and noninvasive single-cell Raman microspectroscopy (SCRM) platform was able to identify neural cell lineages derived from clinically relevant human induced pluripotent stem cells (hiPSCs). By analyzing the intrinsic biochemical profiles of single cells at a large scale (8,774 Raman spectra in total), iPSCs and iPSC-derived neural cells can be distinguished by their intrinsic phenotypic Raman spectra. We identified a Raman biomarker from glycogen to distinguish iPSCs from their neural derivatives, and the result was verified by the conventional glycogen detection assays. Further analysis with a machine learning classification model, utilizing t-distributed stochastic neighbor embedding (t-SNE)-enhanced ensemble stacking, clearly categorized hiPSCs in different developmental stages with 97.5% accuracy. The present study demonstrates the capability of the SCRM-based platform to monitor cell development using high content screening with a noninvasive and label-free approach. This platform as well as our identified biomarker could be extensible to other cell types and can potentially have a high impact on neural stem cell therapy.

show abstract

mentioning

confidence: 99%

A single-cell Raman-based platform to identify developmental stages of human pluripotent stem cell-derived neurons

Hsu

Brinkhof

et al. 2020

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

show abstract

“…During the development of drugs, stem cell differentiation is exceptionally favorable for obtaining specific cells of interest. These cells are further treated with drug candidates to confirm drug safety and efficacy [ 157 , 158 ]. Many recent studies have reported the non-destructive and label-free detection of stem cell pluripotency and differentiation via electrochemical biosensors to avoid irreversible cell damage after analysis [ 146 , 159 , 160 , 161 ].…”

Section: Electrochemical Biosensing For Highly Proliferative Cellsmentioning

confidence: 99%

Recent Advances in Electrochemical Sensors for the Detection of Biomolecules and Whole Cells

2020

Self Cite

View full text Add to dashboard Cite

Electrochemical sensors are considered an auspicious tool to detect biomolecules (e.g., DNA, proteins, and lipids), which are valuable sources for the early diagnosis of diseases and disorders. Advances in electrochemical sensing platforms have enabled the development of a new type of biosensor, enabling label-free, non-destructive detection of viability, function, and the genetic signature of whole cells. Numerous studies have attempted to enhance both the sensitivity and selectivity of electrochemical sensors, which are the most critical parameters for assessing sensor performance. Various nanomaterials, including metal nanoparticles, carbon nanotubes, graphene and its derivatives, and metal oxide nanoparticles, have been used to improve the electrical conductivity and electrocatalytic properties of working electrodes, increasing sensor sensitivity. Further modifications have been implemented to advance sensor platform selectivity and biocompatibility using biomaterials such as antibodies, aptamers, extracellular matrix (ECM) proteins, and peptide composites. This paper summarizes recent electrochemical sensors designed to detect target biomolecules and animal cells (cancer cells and stem cells). We hope that this review will inspire researchers to increase their efforts to accelerate biosensor progress—enabling a prosperous future in regenerative medicine and the biomedical industry.

show abstract

“…Using this coating technology, which can pattern graphene oxide on a specific surface using moisture treatment with GO [ 110 , 111 , 112 ], it is possible to induce cells to preferentially adhere to the wall of the PDMS micro-well. They photographed micro-well monolayers via Raman spectroscopy to identify vertical graphene patterns coated on the wall [ 113 , 114 ]. Cells attached to the wall of the spherical micro-well begin to fill the wells time-dependently and eventually form a tumor cell spheroid inside the well.…”

Section: Controlling 3d Cancer Cell Microenvironments Using Graphementioning

confidence: 99%

Graphene Hybrid Materials for Controlling Cellular Microenvironments

Kim

2020

Materials

Self Cite

View full text Add to dashboard Cite

Cellular microenvironments are known as key factors controlling various cell functions, including adhesion, growth, migration, differentiation, and apoptosis. Many materials, including proteins, polymers, and metal hybrid composites, are reportedly effective in regulating cellular microenvironments, mostly via reshaping and manipulating cell morphologies, which ultimately affect cytoskeletal dynamics and related genetic behaviors. Recently, graphene and its derivatives have emerged as promising materials in biomedical research owing to their biocompatible properties as well as unique physicochemical characteristics. In this review, we will highlight and discuss recent studies reporting the regulation of the cellular microenvironment, with particular focus on the use of graphene derivatives or graphene hybrid materials to effectively control stem cell differentiation and cancer cell functions and behaviors. We hope that this review will accelerate research on the use of graphene derivatives to regulate various cellular microenvironments, which will ultimately be useful for both cancer therapy and stem cell-based regenerative medicine.

show abstract

Nanobiosensing Platforms for Real-Time and Non-Invasive Monitoring of Stem Cell Pluripotency and Differentiation

Cited by 24 publications

References 70 publications

A single-cell Raman-based platform to identify developmental stages of human pluripotent stem cell-derived neurons

A single-cell Raman-based platform to identify developmental stages of human pluripotent stem cell-derived neurons

Recent Advances in Electrochemical Sensors for the Detection of Biomolecules and Whole Cells

Graphene Hybrid Materials for Controlling Cellular Microenvironments

Contact Info

Product

Resources

About