Dataset Information

Transcriptional profiles of embryonic stem cell derived gastrointestinal tissue.

ABSTRACT: Successful differentiation methods have been developed in several endodermal organs, including liver, pancreas, and intestine from embryonic stem cell and induced pluripotent stem cells. Compare to these organs, however, little has been known in gastric differentiation from embryonic stem cells. Here, we established a method of gastrointestinal tissue differentiation methods, including stomach regions from embryonic stem cells. These gastrointestinal tissue built gut primordium-like spheroids, which is also able to mature into adult tissue containing all differentiated cells in three-dimensional culture. These embryonic stem cells derived gastrointestinal tissue possessed the similar gene expression profile that of adult stomach. These data indicated that functional gastrointestinal tissue can be derived from embryonic stem cells by mimicking in vivo development and could be useful for investigating gastrointestinal study such as disease modeling.

ORGANISM(S): Mus musculus

PROVIDER: GSE60031 | GEO | 2015/07/20

SECONDARY ACCESSION(S): PRJNA257303

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:The paper describes a model of effect of cellular de-differentiation on the dynamics and evolution of tissue and tumor cells. Created by COPASI 4.25 (Build 207) This model is described in the article: Effect of cellular de-differentiation on the dynamics and evolution of tissue and tumor cells in mathematical models with feedback regulation Dominik Wodarz J Theor Biol. 2018 July 07; 448: 86–93 Abstract: Tissues are maintained by adult stem cells that self-renew and also differentiate into functioning tissue cells. Homeostasis is achieved by a set of complex mechanisms that involve regulatory feedback loops. Similarly, tumors are believed to be maintained by a minority population of cancer stem cells, while the bulk of the tumor is made up of more differentiated cells, and there is indication that some of the feedback loops that operate in tissues continue to be functional in tumors. Mathematical models of such tissue hierarchies, including feedback loops, have been analyzed in a variety of different contexts. Apart from stem cells giving rise to differentiated cells, it has also been observed that more differentiated cells can de-differentiate into stem cells, both in healthy tissue and tumors, aspects of which have also been investigated mathematically. This paper analyses the effect of de-differentiation on the basic and evolutionary dynamics of cells in the context of tissue hierarchy models that include negative feedback regulation of the cell populations. The models predict that in the presence of de-differentiation, the fixation probability of a neutral mutant is lower than in its absence. Therefore, if de-differentiation occurs, a mutant with identical parameters compared to the wild-type cell population behaves like a disadvantageous mutant. Similarly, the process of de-differentiation is found to lower the fixation probability of an advantageous mutant. These results indicate that the presence of de- differentiation can lower the rates of tumor initiation and progression in the context of the models considered here. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Dataset Information

Transcriptional profiles of embryonic stem cell derived gastrointestinal tissue.

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets