KerNet, 3D fluorescence and segmentation datasets of keratin networks from MDCK, HaCaT, and RPE cells

Mechanobiology requires precise quantitative spatial information on processes taking place in specific 3D microenvironments. Connecting microscopical, molecular, biochemical and cell mechanical data with defined topologies has turned out to be extremely difficult. Establishing such structural and functional 3D maps is particular challenging for the cytoskeleton, which consists of long and interwoven filamentous polymers coordinating subcellular processes and interactions of cells with their environment. Here we present raw data and processed segmented data of fluorescence-tagged keratin intermediate filaments from MDCK, HaCaT and RPE epithelial cells. The 30 datasets contain unprocessed airyscan superresolution 3D image data and numerical network data of the 3D arrangement of the keratin intermediate filament cytoskeleton. Information is provided on network organization at the subcellular level, including mesh arrangement, density and isotropic configuration as well as details on filame...

力学生物学（Mechanobiology）需要获取特定三维微环境中生理过程的精准定量空间信息。将显微、分子、生化及细胞力学数据与明确的拓扑结构相关联，此前被证实极具挑战性。构建此类结构与功能性三维图谱对于细胞骨架（cytoskeleton）而言尤为困难：细胞骨架由长且相互交织的丝状聚合物构成，负责协调亚细胞过程以及细胞与其所处微环境的相互作用。本数据集提供了来自MDCK、HaCaT及RPE上皮细胞的荧光标记角蛋白中间丝的原始数据与经处理的分割数据。本批共30组数据集包含未经过处理的Airyscan超分辨率三维图像数据，以及角蛋白中间丝细胞骨架三维排布的数值网络数据。数据集提供了亚细胞层面的网络组织信息，包括网格排布、密度及各向同性构型，以及关于丝状体的详细细节……