<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>8(41)</volume><submitter>Van den Broeck L</submitter><pubmed_abstract>Capturing cell-to-cell signals in a three-dimensional (3D) environment is key to studying cellular functions. A major challenge in the current culturing methods is the lack of accurately capturing multicellular 3D environments. In this study, we established a framework for 3D bioprinting plant cells to study cell viability, cell division, and cell identity. We established long-term cell viability for bioprinted Arabidopsis and soybean cells. To analyze the generated large image datasets, we developed a high-throughput image analysis pipeline. Furthermore, we showed the cell cycle reentry of bioprinted cells for which the timing coincides with the induction of core cell cycle genes and regeneration-related genes, ultimately leading to microcallus formation. Last, the identity of bioprinted </pubmed_abstract><journal>Science advances</journal><pagination>eabp9906</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9565790</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Establishing a reproducible approach to study cellular functions of plant cells with 3D bioprinting.</pubmed_title><pmcid>PMC9565790</pmcid><pubmed_authors>Melvin C</pubmed_authors><pubmed_authors>Van den Broeck L</pubmed_authors><pubmed_authors>Tahir MA</pubmed_authors><pubmed_authors>Schwartz MF</pubmed_authors><pubmed_authors>Nguyen T</pubmed_authors><pubmed_authors>Muhammad A</pubmed_authors><pubmed_authors>Madison I</pubmed_authors><pubmed_authors>Peters R</pubmed_authors><pubmed_authors>Hunt A</pubmed_authors><pubmed_authors>Sozzani R</pubmed_authors><pubmed_authors>Krishnamoorthy S</pubmed_authors><pubmed_authors>Gobble M</pubmed_authors><pubmed_authors>Stuiver M</pubmed_authors><pubmed_authors>Horn T</pubmed_authors><pubmed_authors>Spurney RJ</pubmed_authors><pubmed_authors>Li B</pubmed_authors></additional><is_claimable>false</is_claimable><name>Establishing a reproducible approach to study cellular functions of plant cells with 3D bioprinting.</name><description>Capturing cell-to-cell signals in a three-dimensional (3D) environment is key to studying cellular functions. A major challenge in the current culturing methods is the lack of accurately capturing multicellular 3D environments. In this study, we established a framework for 3D bioprinting plant cells to study cell viability, cell division, and cell identity. We established long-term cell viability for bioprinted Arabidopsis and soybean cells. To analyze the generated large image datasets, we developed a high-throughput image analysis pipeline. Furthermore, we showed the cell cycle reentry of bioprinted cells for which the timing coincides with the induction of core cell cycle genes and regeneration-related genes, ultimately leading to microcallus formation. Last, the identity of bioprinted </description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Oct</publication><modification>2026-05-28T00:46:56.479Z</modification><creation>2024-10-17T22:31:51.096Z</creation></dates><accession>S-EPMC9565790</accession><cross_references><pubmed>36240264</pubmed><doi>10.1126/sciadv.abp9906</doi></cross_references></HashMap>