Dataset Information

Single-cell qPCR demonstrates that Repsox treatment changes cell fate from endoderm to neuroectoderm and disrupts epithelial-mesenchymal transition.

ABSTRACT: A definitive endodermal cell lineage is a prerequisite for the efficient generation of mature endoderm derivatives that give rise to organs, such as the pancreas and liver. We previously reported that the induction of mesenchymal definitive endoderm cells depends on autocrine TGF-? signaling and that pharmacological blockage of TGF-? signaling by Repsox disrupts endoderm specification. The definitive endoderm arises from a primitive streak, which depends largely on TGF-? signaling. If the TGF-? pathway is blocked by Repsox, cell fate after the primitive streak induction is so-far unknown. We report here, that an induced primitive streak cell-population contained many T/SOX2 co-expressing cells, and subsequent inhibition of TGF-? signaling by Repsox promoted neuroectodermal cell fate, which was characterized using single-cell qPCR analysis and immunostaining. The process of epithelial-to-mesenchymal transition, which is inherent to the process of definitive endoderm differentiation, was also disrupted upon Repsox treatment. Our findings may provide a new approach to produce neural progenitors.

SUBMITTER: Li Q

PROVIDER: S-EPMC6786562 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Single-cell qPCR demonstrates that Repsox treatment changes cell fate from endoderm to neuroectoderm and disrupts epithelial-mesenchymal transition.

Li Qiuhong Q Huang Qingsong Q

PloS one 20191010 10

A definitive endodermal cell lineage is a prerequisite for the efficient generation of mature endoderm derivatives that give rise to organs, such as the pancreas and liver. We previously reported that the induction of mesenchymal definitive endoderm cells depends on autocrine TGF-β signaling and that pharmacological blockage of TGF-β signaling by Repsox disrupts endoderm specification. The definitive endoderm arises from a primitive streak, which depends largely on TGF-β signaling. If the TGF-β ...[more]

PMID: 31600351

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Project description:Epithelial-mesenchymal transition (EMT) is a fundamental biological process that plays a central role in embryonic development, tissue regeneration, and cancer metastasis. Transforming growth factor-β (TGFβ) is a potent inducer of this cellular transition, which is composed of transitions from an epithelial state to intermediate or partial EMT state(s) to a mesenchymal state. Using computational models to predict cell state transitions in a specific experiment is inherently difficult for reasons including model parameter uncertainty and error associated with experimental observations. In this study, we demonstrate that a data-assimilation approach using an ensemble Kalman filter, which combines limited noisy observations with predictions from a computational model of TGFβ-induced EMT, can reconstruct the cell state and predict the timing of state transitions. We used our approach in proof-of-concept "synthetic" in silico experiments, in which experimental observations were produced from a known computational model with the addition of noise. We mimic parameter uncertainty in in vitro experiments by incorporating model error that shifts the TGFβ doses associated with the state transitions and reproduces experimentally observed variability in cell state by either shifting a single parameter or generating "populations" of model parameters. We performed synthetic experiments for a wide range of TGFβ doses, investigating different cell steady-state conditions, and conducted parameter studies varying properties of the data-assimilation approach including the time interval between observations and incorporating multiplicative inflation, a technique to compensate for underestimation of the model uncertainty and mitigate the influence of model error. We find that cell state can be successfully reconstructed and the future cell state predicted in synthetic experiments, even in the setting of model error, when experimental observations are performed at a sufficiently short time interval and incorporate multiplicative inflation. Our study demonstrates the feasibility and utility of a data-assimilation approach to forecasting the fate of cells undergoing EMT.

Dataset Information

Single-cell qPCR demonstrates that Repsox treatment changes cell fate from endoderm to neuroectoderm and disrupts epithelial-mesenchymal transition.

Publications

Single-cell qPCR demonstrates that Repsox treatment changes cell fate from endoderm to neuroectoderm and disrupts epithelial-mesenchymal transition.

Similar Datasets

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