To unravel the complexity of biological processes, it is necessary to resolve the underlying protein organization down to single proteins. Here, we present a protocol for secondary label-based unlimited multiplexed DNA-PAINT (SUM-PAINT), a DNA-PAINT-based super-resolution microscopy technique that is capable of resolving virtually unlimited protein species with single-protein resolution. We describe the steps to prepare neuronal cultures, troubleshoot and conduct SUM-PAINT experiments, and analyze the resulting feature-rich neuronal cell atlases using unsupervised machine learning approaches. For complete details on the use and execution of this protocol, please refer to Unterauer et al.1.
FörderungenBMBF Max Planck Foundation Max Planck Society IMPRS-ML graduate school Deutsche Forschungsgemeinschaft (DFG) CZI collaborative pair grant Collaborative Research Center 1286 on Quantitative Synaptologie , Gottingen, Germany F. Hoffmann-La Roche LTD European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program Helmholtz Association under the joint research school "Munich School for Data Science-MUDS"
European Research Council through an ERC Consolidator Grant (ReceptorPAINT)