Glad to share our new preprint reporting the first single-cell 3D genome atlas of any cancer! (link)

In this work, we report the first application of image-based, real-3D genomics to study cancer and identify an unexpected 3D genome bottleneck during subclonal tumor evolution in the native tissue microenvironment. We further define key regulator and effector genes upstream and downstream of substantial 3D genome reorganization that accompanies histologic progression of lung adenocarcinoma. We expect that applying this approach broadly will have an enormous impact on understanding the epigenetic basis of cancer in situ and will lead to the development of novel diagnostic, prognostic, and therapeutic biomarkers based on the 3D genome.