한빛사논문
David E. Reynolds 1, Yusha Sun 2, Xin Wang 2, Phoebe Vallapureddy 1, Jianhua Lim 1, Menghan Pan 1, Andres Fernandez Del Castillo 3, Jonathan C. T. Carlson 4,5, Mark A. Sellmyer 6, MacLean Nasrallah 7, Zev Binder 7, Donald M. O'Rourke 7, Guo-li Ming 2, Hongjun Song 2,7, Jina Ko 1,*
1Department of Bioengineering University of Pennsylvania Philadelphia, PA 19104, USA
2Department of Neuroscience MahoneyInstitute for Neurosciences Perelman School of Medicine University of Pennsylvania Philadelphia, PA19104, USA
3Department of Biochemistry & Molecular Biophysics Perelman School of Medicine University of Pennsylvania Philadelphia, PA 19104, USA
4Center for Systems BiologyMassachusetts General HospitalBoston, MA 02114, USA
5Department of Medicine Massachusetts General Hospital Harvard Medical School Boston, MA 02114, USA
6Department of RadiologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphia, PA 19104, USA
7Abramson Cancer CenterUniversity of PennsylvaniaPhiladelphia, PA 19104, USA
*Corresponding author: correspondence to Jina Ko
Abstract
Organoids are becoming increasingly relevant in biology and medicine for their physiological complexity and accuracy in modeling human disease. To fully assess their biological profile while preserving their spatial information, spatiotemporal imaging tools are warranted. While previously developed imaging techniques, such as four-dimensional (4D) live imaging and light-sheet imaging have yielded important clinical insights, these technologies lack the combination of cyclic and multiplexed analysis. To address these challenges, bioorthogonal click chemistry is applied to display the first demonstration of multiplexed cyclic imaging of live and fixed patient-derived glioblastoma tumor organoids. This technology exploits bioorthogonal click chemistry to quench fluorescent signals from the surface and intracellular of labeled cells across multiple cycles, allowing for more accurate and efficient molecular profiling of their complex phenotypes. Herein, the versatility of this technology is demonstrated for the screening of glioblastoma markers in patient-derived human glioblastoma organoids while conserving their viability. It is anticipated that the findings and applications of this work can be broadly translated into investigating physiological developments in other organoid systems.
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