bioRxivCancer BiologyPreprint
A high-throughput 3D culture microfluidic platform for multi-parameter phenotypic and omics profiling of patient-derived organoids
Oronza Antonietta BotrugnoiD, Elena BianchiiD, Jolanda M. BrunoiD, Giovanni F.M. Gallo, Claudia FeliciiD, Eduardo SommellaiD, Paola De StefanoiD, Valentina GiansantiiD, Valeria Rossella, Fabrizio MerciaiiD, Vicky CaponigroiD, Valentina GolinoiD, Danila La Gioia, Antonio Malinconico, Emanuele ColomboiD, Giulio GiovannoniiD, Gabriele Metalli, Guido GattiiD, Gazziero Virginia Anna, Silvia Buonanno, Eleonora Guidi, Giulio CaravagnaiD, Federica PedicaiD, Francesca RattiiD, Carlo TacchettiiD, , Gabriele DubiniiD
Abstract
Patient-derived organoids (PDOs) are poised to become central tools both in clinical practice, to preemptively identify patient optimal treatments, and in drug discovery, overcoming the limitations of cancer cell lines. However, the use of PDOs in these settings has been hampered by several bottlenecks, including sample requirements, assay time, and handling in the context of high-throughput assays. We developed a Microfluidic Platform for Organoids culture (MPO) that miniaturises and simplifies PDOs cultures in a 384-plate format. Both retrospective and prospective clinical studies demonstrate MPO predictive value and the straightforward implementation in the clinical setting. MPO allows subcellular phenotypic screenings, as imaging-based applications like Cell Painting, target engagement analyses, alongside the comprehensive definition of PDOs genomic, transcriptomic, proteomic, lipidomic, and metabolomic landscapes. Harnessing the pleiotropic capabilities of MPO, we uncovered the role of EZH2 inhibitors to prevent the long-term emergence of resistance to RAS inhibitors in metastatic colon cancer. In all, we demonstrate the potential of MPO to impact clinical practice, alongside exploration of the mechanisms underlying compound response and resistance.
- organism: human
- assay: proteomics
- assay: metabolomics
- assay: metagenomics
- assay: bulk RNA-seq
- research focus: drug response / drug discovery
- research focus: cell type annotation
- research focus: clustering
- research focus: differential expression
- approach: experimental assay
- Citations
- 4
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