On the mechanisms of epidermal stemness and differentiation.

IF 3.5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Saumya Shukla, Raghvendra Singh
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引用次数: 0

Abstract

High Wnt and low Notch activities characterize epidermal stem cells (SCs), while low Wnt and high Notch activities characterize the terminally differentiated epidermal cells (TDCs). However, the mechanism by which transit amplifying cells (TACs) are induced to become terminally differentiated remains unclear. Our analysis suggests that oscillations in Wnt, Notch, and YAP/TAZ activities lead to the production of TDCs from TACs. Furthermore, the role of stem cell markers in epidermal differentiation, regeneration, and the functional aspects of the epidermis remains unclear. Here, based on the ability of the epidermal SCs to induce the differentiation of TACs, we characterize the SCs as having the expression of Notch ligand, Delta, higher than a critical value. Further, we have functionally defined the critical value of the Delta expression by SCs. Our paper may have general implications for the stemness and differentiation of other tissues.

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关于表皮干性和分化机制的研究。
高Wnt和低Notch活性是表皮干细胞(SCs)的特征,而低Wnt和高Notch活性是终末分化表皮细胞(tdc)的特征。然而,转运扩增细胞(TACs)被诱导为终末分化的机制尚不清楚。我们的分析表明,Wnt、Notch和YAP/TAZ活性的振荡导致tac产生tdc。此外,干细胞标记物在表皮分化、再生和表皮功能方面的作用尚不清楚。在这里,基于表皮SCs诱导tac分化的能力,我们将SCs表征为Notch配体Delta的表达高于临界值。此外,我们已经功能性地定义了SCs表达的临界值。我们的论文可能对其他组织的干性和分化具有普遍意义。
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来源期刊
NPJ Systems Biology and Applications
NPJ Systems Biology and Applications Mathematics-Applied Mathematics
CiteScore
5.80
自引率
0.00%
发文量
46
审稿时长
8 weeks
期刊介绍: npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.
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