EasySep™小鼠TIL（CD45）正选试剂盒
产品号 #05507_C
用于小鼠MSCs、ADSCs和MEFs体外向脂肪细胞的分化
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L-GlutamineCell culture supplement
总览
MesenCult™ 脂肪分化试剂盒 (小鼠) 专门用于小鼠间充质干细胞或祖细胞（MSCs），小鼠脂肪组织来源的MSCs （ADSCs）和小鼠胚胎成纤维细胞（MEFs）体外分化成脂肪生成谱系的细胞。
注意：MesenCult™ 脂肪分化试剂盒 (小鼠)必须补充 L-谷氨酰胺（产品号 #07100）。
注意：MesenCult™ 脂肪分化试剂盒 (小鼠)必须补充 L-谷氨酰胺（产品号 #07100）。
注意：MesenCult™ 脂肪分化试剂盒 (小鼠)必须补充 L-谷氨酰胺（产品号 #07100）。
注意：MesenCult™ 脂肪分化试剂盒 (小鼠)必须补充 L-谷氨酰胺（产品号 #07100）。
亚型
专用培养基
细胞类型
间充质干/祖细胞
种属
小鼠
应用
分化
品牌
MesenCult
研究领域
干细胞生物学
产品说明书及文档
请在《产品说明书》中查找相关支持信息和使用说明，或浏览下方更多实验方案。
应用领域
本产品专为以下研究领域设计，适用于工作流程中的高亮阶段。探索这些工作流程，了解更多我们为各研究领域提供的其他配套产品。
相关材料与文献
技术资料 (3)
文献 (5)
Site-1 protease ablation in the osterix-lineage in mice results in bone marrow neutrophilia and hematopoietic stem cell alterations. Biology open 2020 jun
Abstract
Site-1 protease (S1P) ablation in the osterix-lineage in mice drastically reduces bone development and downregulates bone marrow-derived skeletal stem cells. Here we show that these mice also suffer from spina bifida occulta with a characteristic lack of bone fusion in the posterior neural arches. Molecular analysis of bone marrow-derived non-red blood cell cells, via single-cell RNA-Seq and protein mass spectrometry, demonstrate that these mice have a much-altered bone marrow with a significant increase in neutrophils and Ly6C-expressing leukocytes. The molecular composition of bone marrow neutrophils is also different as they express more and additional members of the stefin A (Stfa) family of proteins. In vitro, recombinant Stfa1 and Stfa2 proteins have the ability to drastically inhibit osteogenic differentiation of bone marrow stromal cells, with no effect on adipogenic differentiation. FACS analysis of hematopoietic stem cells show that despite a decrease in hematopoietic stem cells, S1P ablation results in an increased production of granulocyte-macrophage progenitors, the precursors to neutrophils. These observations indicate that S1P has a role in the lineage specification of hematopoietic stem cells and/or their progenitors for development of a normal hematopoietic niche. Our study designates a fundamental requirement of S1P for maintaining a balanced regenerative capacity of the bone marrow niche.
3D-printable supramolecular hydrogels with shear-thinning property: fabricating strength tunable bioink via dual crosslinking. Bioactive materials 2020 dec
Abstract
3-dimensional (3D) bioprinting technology provides promising strategy in the fabrication of artificial tissues and organs. As the fundamental element in bioprinting process, preparation of bioink with ideal mechanical properties without sacrifice of biocompatibility is a great challenge. In this study, a supramolecular hydrogel-based bioink is prepared by polyethylene glycol (PEG) grafted chitosan, $\alpha$-cyclodextrin ($\alpha$-CD) and gelatin. It has a primary crosslinking structure through the aggregation of the pseudo-polyrotaxane-like side chains, which are formed from the host-guest interactions between $\alpha$-CD and PEG side chain. Apparent viscosity measurement shows the shear-shinning property of this bioink, which might be due to the reversibility of the physical crosslinking. Moreover, with $\beta$-glycerophosphate at different concentrations as the secondary crosslinking agent, the printed constructs demonstrate different Young's modulus (p {\textless} 0.001). They could also maintain the Young's modulus in cell culture condition for at least 21 days (p {\textless} 0.05). By co-culturing each component with fibroblasts, CCK-8 assay demonstrate cellular viability is higher than 80{\%}. After bioprinting and culturing, immunofluorescence staining with quantification indicate the expression of Ki-67, Paxillin, and N-cadherin is higher in day 14 than those in day 3 (p {\textless} 0.05). Oil red O and Nissl body specific staining reflect strength tunable bioink may have impact on the cell fate of mesenchymal stem cells (p {\textless} 0.05). This work might provide new idea for advanced bioink in the application of re-establishing complicated tissues and organs.
Machine Learning to Quantitate Neutrophil NETosis. Scientific reports 2019 nov
Abstract
We introduce machine learning (ML) to perform classification and quantitation of images of nuclei from human blood neutrophils. Here we assessed the use of convolutional neural networks (CNNs) using free, open source software to accurately quantitate neutrophil NETosis, a recently discovered process involved in multiple human diseases. CNNs achieved {\textgreater}94{\%} in performance accuracy in differentiating NETotic from non-NETotic cells and vastly facilitated dose-response analysis and screening of the NETotic response in neutrophils from patients. Using only features learned from nuclear morphology, CNNs can distinguish between NETosis and necrosis and between distinct NETosis signaling pathways, making them a precise tool for NETosis detection. Furthermore, by using CNNs and tools to determine object dispersion, we uncovered differences in NETotic nuclei clustering between major NETosis pathways that is useful in understanding NETosis signaling events. Our study also shows that neutrophils from patients with sickle cell disease were unresponsive to one of two major NETosis pathways. Thus, we demonstrate the design, performance, and implementation of ML tools for rapid quantitative and qualitative cell analysis in basic science.
更多信息
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