five

Raw data.Immunohistochemistry, RNA expression and lab. values per experimental animal.

收藏
Mendeley Data2018-09-24 更新2026-04-09 收录
下载链接:
https://data.mendeley.com/datasets/gs5632dzbc/1
下载链接
链接失效反馈
官方服务:
资源简介:
Contribution of bone marrow-derived cells to in situ engineered tissue capsules in a rat model of chronic kidney disease. Tissue engineered blood vessels (TEBVs) hold great promise for clinical use in patients with end stage renal disease (ESRD) requiring vascular access for hemodialysis. Our group has previously developed a way to generate TEBVs in situ, by utilizing foreign body response to polymeric rods that are implanted subcutaneously (Rothuizen TC, Rotmans JI et.al, Biomaterials. 2016 Jan). In the present study, we aimed to investigate the origin of the cells in the tissue capsules (TCs) that are formed around the implanted rods. In addition, we aimed to study the effect of chronic kidney disease (CKD) on TC formation. For this purpose, we utilized a rat model of CKD, which we combined with a BM-transplantation using GFP-labeled cells. These experiments revealed that both bone-marrow derived- as well as tissue resident inflammatory cells contribute to TC formation. In addition, we show that macrophages serve as precursors of myofibroblasts in mature TCs. The presence of CKD did not significantly alter the process of TC formation, which holds the potential to support our approach for future clinical use in hemodialysis patients. The raw data files contain data on each experimental animal for immunohistochemical analysis, RNA expression and laboratory measurements (blood urine nitrogen, creatinine, %of GFP+ bone marrow derived cells) of experimental model. In addition, files include data on statistical tests used in this work such as column statistics and Mann-Whitney test. All data is presented as text documents and was transferred from GraphPad Prism 7.03 program which was used for data analysis.
创建时间:
2018-09-24
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作