Microtissue assembly in Microwell-mesh and implantation in vivo into mice
This dataset illustrates work and optimisation of a microwell platform named the Microwell-mesh to aggregate precise numbers of cells into arrays of microtissues and the implanting of the Microwell-mesh into NOD-scid IL2γ−/− (NSG) mice to study the microtissue growth. Prostate cancer (PCa) patient-derived xenografts (PDXs) are commonly propagated by serial transplantation of “pieces” of tumour in mice, and using microwell-mesh the cellular composition of pieces becomes standardised.
First, mesh pore size was optimised using microtissues assembled from bone marrow-derived stromal cells, with mesh opening dimensions of 100×100 μm achieving superior microtissue vascularisation relative to mesh with 36×36 μm mesh openings. The optimised Microwell-mesh was used to assemble and implant PCa cell microtissue arrays (microtissues formed from cancer cells are referred to as microtumours) into mice. PCa cells were enriched from three different PDX lines, LuCaP35, LuCaP141, and BM18. 3D microtumours showed greater in vitro viability than 2D cultures, but neither proliferated. Microtumours were successfully established in mice 81% (57 of 70), 67% (4 of 6), 76% (19 of 25) for LuCaP35, LuCaP141, and BM18 PCa cells, respectively. Microtumour growth was tracked using live animal imaging for size or bioluminescence signal. This research data set includes data in relevant folders and formats to each figure in the manuscript which describes the development of the Microwell-mesh as a tool to study microtissues in vitro and in vivo.
The concept of microtissue assembly in the Microwell-mesh, and implantation in vivo may also have utility in implantation of a variety of organ-specific cells that self-assemble into 3D structures, providing an important bridge between in vitro assembly of mini-organs and in vivo implantation, more broadly, a bridge between patients and therapeutic research.
Geographical area of data collection
Cite this collection
Data file types
Creative Commons Attribution 4.0 (CC-BY)