SCA-1/Ly6A Mesodermal Skeletal Progenitor Subpopulations Reveal Differential Commitment of Early Limb Bud Cells

SCA-1/Ly6A 中胚层骨骼祖细胞亚群揭示早期肢芽细胞的差异性分化

阅读:3
作者:Jessica Cristina Marín-Llera ,Carlos Ignacio Lorda-Diez ,Juan Mario Hurle ,Jesús Chimal-Monroy

Abstract

At early developmental stages, limb bud mesodermal undifferentiated cells are morphologically indistinguishable. Although the identification of several mesodermal skeletal progenitor cell populations has been recognized, in advanced stages of limb development here we identified and characterized the differentiation hierarchy of two new early limb bud subpopulations of skeletal progenitors defined by the differential expression of the SCA-1 marker. Based on tissue localization of the mesenchymal stromal cell-associated markers (MSC-am) CD29, Sca-1, CD44, CD105, CD90, and CD73, we identified, by multiparametric analysis, the presence of cell subpopulations in the limb bud capable of responding to inductive signals differentially, namely, sSca+ and sSca- cells. In concordance with its gene expression profile, cell cultures of the sSca+ subpopulation showed higher osteogenic but lower chondrogenic capacity than those of sSca-. Interestingly, under high-density conditions, fibroblast-like cells in the sSca+ subpopulation were abundant. Gain-of-function employing micromass cultures and the recombinant limb assay showed that SCA-1 expression promoted tenogenic differentiation, whereas chondrogenesis is delayed. This model represents a system to determine cell differentiation and morphogenesis of different cell subpopulations in similar conditions like in vivo. Our results suggest that the limb bud is composed of a heterogeneous population of progenitors that respond differently to local differentiation inductive signals in the early stages of development, where SCA-1 expression may play a permissive role during cell fate.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。