4.7 Article

Single cell organization and cell cycle characterization of DNA stained multicellular tumor spheroids

期刊

SCIENTIFIC REPORTS
卷 11, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41598-021-96288-6

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资金

  1. Swedish Research Council [2015-04002, 2020-03811, 2019-04925]
  2. Swedish Foundation for Strategic Research
  3. Knut and Alice Wallenberg Foundation [2018.0106]
  4. Swedish Cancer Foundation [19 0540 Pj]
  5. Swedish childhood Cancer Foundation [MT2019-0022]
  6. Swedish Research Council [2015-04002, 2020-03811, 2019-04925] Funding Source: Swedish Research Council

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Ultrasound-based MCTS culture platform was utilized to connect nuclear segmentation to biological information in A498 renal carcinoma MCTSs, showing potential for cell cycle state classification and nuclear volumetric characterization.
Multicellular tumor spheroids (MCTSs) can serve as in vitro models for solid tumors and have become widely used in basic cancer research and drug screening applications. The major challenges when studying MCTSs by optical microscopy are imaging and analysis due to light scattering within the 3-dimensional structure. Herein, we used an ultrasound-based MCTS culture platform, where A498 renal carcinoma MCTSs were cultured, DAPI stained, optically cleared and imaged, to connect nuclear segmentation to biological information at the single cell level. We show that DNA-content analysis can be used to classify the cell cycle state as a function of position within the MCTSs. We also used nuclear volumetric characterization to show that cells were more densely organized and perpendicularly aligned to the MCTS radius in MCTSs cultured for 96 h compared to 24 h. The method presented herein can in principle be used with any stochiometric DNA staining protocol and nuclear segmentation strategy. Since it is based on a single counter stain a large part of the fluorescence spectrum is free for other probes, allowing measurements that correlate cell cycle state and nuclear organization with e.g., protein expression or drug distribution within MCTSs.

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