scholarly journals Quantitative, Label-Free Characterization of Stem Cell Differentiation at the Single-Cell Level by Broadband Coherent Anti-Stokes Raman Scattering Microscopy

2014 ◽  
Vol 20 (7) ◽  
pp. 562-569 ◽  
Author(s):  
Young Jong Lee ◽  
Sebastián L. Vega ◽  
Parth J. Patel ◽  
Khaled A. Aamer ◽  
Prabhas V. Moghe ◽  
...  
Keyword(s):  
Stem Cell ◽  
Cell Differentiation ◽  
Raman Scattering ◽  
Single Cell ◽  
Stem Cell Differentiation ◽  
Single Cell Level ◽  
Label Free ◽  
Cell Level ◽  
Anti Stokes

Marker-free detection of progenitor cell differentiation by analysis of Brownian motion in micro-wells

2015 ◽  
Vol 7 (2) ◽  
pp. 178-183 ◽  
Author(s):  
Farzad Sekhavati ◽  
Max Endele ◽  
Susanne Rappl ◽  
Anna-Kristina Marel ◽  
Timm Schroeder ◽  
...  
Keyword(s):  
Brownian Motion ◽  
Cell Differentiation ◽  
Single Cell ◽  
High Throughput ◽  
Progenitor Cell ◽  
Single Cell Level ◽  
Label Free ◽  
Cell Level ◽  
Marker Free

The analysis of Brownian motion is a sensitive and robust tool for a label-free high-throughput investigation of cell differentiation at the single-cell level.

Micro-Engineered Sythetical Extrocellular Metrix for Stem Cell Differentiation Study

2010 ◽  
Author(s):  
Jianping Fu
Keyword(s):  
Stem Cell ◽  
Cell Differentiation ◽  
Cell Morphology ◽  
Focal Adhesions ◽  
Stem Cell Differentiation ◽  
Material Surface ◽  
Single Cell Level ◽  
Cell Level ◽  
Substrate Rigidity ◽  
Non Destructive

We report the use of micromolded elastomeric micropost arrays to modulate substrate rigidity independently of effects on adhesive and other material surface properties. We demonstrate that micropost rigidity impacts cell morphology, focal adhesions, cytoskeletal contractility, and stem cell differentiation. Furthermore, these micropost arrays reveal that changes in cytoskeletal contractility can precede stem cell differentiation and be utilized as a non-destructive predictor for fate decisions at the single cell level.

scholarly journals Using single-cell entropy to describe the dynamics of reprogramming and differentiation of induced pluripotent stem cells

2020 ◽  
Vol 34 (30) ◽  
pp. 2050288
Author(s):  
Y. Ye ◽  
Z. Yang ◽  
M. Zhu ◽  
J. Lei
Keyword(s):  
Stem Cells ◽  
Stem Cell ◽  
Cell Differentiation ◽  
Single Cell ◽  
Cell Fate ◽  
Pluripotent Stem Cells ◽  
Stem Cell Differentiation ◽  
Cell Level ◽  
Macroscopic Variable ◽  
Induced Pluripotent

Induced pluripotent stem cells (iPSCs) provide a great model to study the process of stem cell reprogramming and differentiation. Single-cell RNA sequencing (scRNA-seq) enables us to investigate the reprogramming process at single-cell level. Here, we introduce single-cell entropy (scEntropy) as a macroscopic variable to quantify the cellular transcriptome from scRNA-seq data during reprogramming and differentiation of iPSCs. scEntropy measures the relative order parameter of genomic transcriptions at single cell level during the process of cell fate changes, which show increase tendency during differentiation, and decrease upon reprogramming. Hence, scEntropy provides an intrinsic measurement of the cell state, and can be served as a pseudo-time of the stem cell differentiation process. Moreover, based on the evolutionary dynamics of scEntropy, we construct a phenomenological Fokker-Planck equation model and the corresponding stochastic differential equation for the process of cell state transitions during pluripotent stem cell differentiation. These equations provide further insights to infer the processes of cell fates changes and stem cell differentiation. This study is the first to introduce the novel concept of scEntropy to quantify the biological process of iPSC, and suggests that the scEntropy can provide a suitable macroscopic variable for single cells to describe cell fate transition during differentiation and reprogramming of stem cells.

scholarly journals Using single-cell entropy to describe the dynamics of reprogramming and differentiation of induced pluripotent stem cells

2020 ◽  
Author(s):  
Yusong Ye ◽  
Zhuoqin Yang ◽  
Meixia Zhu ◽  
Jinzhi Lei
Keyword(s):  
Stem Cells ◽  
Stem Cell ◽  
Cell Differentiation ◽  
Single Cell ◽  
Cell Fate ◽  
Pluripotent Stem Cells ◽  
Stem Cell Differentiation ◽  
Cell Level ◽  
Macroscopic Variable ◽  
Induced Pluripotent

AbstractInduced pluripotent stem cells (iPSCs) provide a great model to study the process of stem cell reprogramming and differentiation. Single-cell RNA sequencing (scRNA-seq) enables us to investigate the reprogramming process at single-cell level. Here, we introduce single-cell entropy (scEntropy) as a macroscopic variable to quantify the cellular transcriptome from scRNA-seq data during reprogramming and differentiation of iPSCs. scEntropy measures the relative order parameter of genomic transcriptions at single cell level during the process of cell fate changes, which show increase tendency during differentiation, and decrease upon reprogramming. Hence, scEntropy provides an intrinsic measurement of the cell state, and can be served as a pseudo-time of the stem cell differentiation process. Moreover, based on the evolutionary dynamics of scEntropy, we construct a phenomenological Fokker-Planck equation model and the corresponding stochastic differential equation for the process of cell state transitions during pluripotent stem cell differentiation. These equations provide further insights to infer the processes of cell fates changes and stem cell differentiation. This study is the first to introduce the novel concept of scEntropy to quantify the biological process of iPSC, and suggests that the scEntropy can provide a suitable macroscopic variable for single cells to describe cell fate transition during differentiation and reprogramming of stem cells.

Mechanical Regulation of Stem Cell Differentiation on Geometrically Modulated Elastomeric Substrates

2010 ◽  
Author(s):  
Jianping Fu
Keyword(s):  
Stem Cell ◽  
Cell Differentiation ◽  
Cell Morphology ◽  
Focal Adhesions ◽  
Stem Cell Differentiation ◽  
Material Surface ◽  
Single Cell Level ◽  
Cell Level ◽  
Substrate Rigidity ◽  
Non Destructive

We report the use of micromolded elastomeric micropost arrays to modulate substrate rigidity independently of effects on adhesive and other material surface properties. We demonstrate that micropost rigidity impacts cell morphology, focal adhesions, cytoskeletal contractility, and stem cell differentiation. Furthermore, these micropost arrays reveal that changes in cytoskeletal contractility can precede stem cell differentiation and be utilized as a non-destructive predictor for fate decisions at the single cell level.

Dual-Enhanced Raman Scattering-Based Characterization of Stem Cell Differentiation Using Graphene-Plasmonic Hybrid Nanoarray

Nano Letters ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 8138-8148 ◽  
Author(s):  
Letao Yang ◽  
Jin-Ho Lee ◽  
Christopher Rathnam ◽  
Yannan Hou ◽  
Jeong-Woo Choi ◽  
...  
Keyword(s):  
Stem Cell ◽  
Cell Differentiation ◽  
Raman Scattering ◽  
Stem Cell Differentiation ◽  
Enhanced Raman Scattering
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