2023
DOI: 10.3390/bios13110973
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Optical Diffraction Tomography and Raman Confocal Microscopy for the Investigation of Vacuoles Associated with Cancer Senescent Engulfing Cells

Silvia Ghislanzoni,
Jeon Woong Kang,
Arianna Bresci
et al.

Abstract: Wild-type p53 cancer therapy-induced senescent cells frequently engulf and degrade neighboring ones inside a massive vacuole in their cytoplasm. After clearance of the internalized cell, the vacuole persists, seemingly empty, for several hours. Despite large vacuoles being associated with cell death, this process is known to confer a survival advantage to cancer engulfing cells, leading to therapy resistance and tumor relapse. Previous attempts to resolve the vacuolar structure and visualize their content usin… Show more

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Cited by 4 publications
(2 citation statements)
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References 56 publications
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“…For example, TPI has been recently employed to study the association between vacuoles and cancer senescent engulfing cells. [27] In fact, vacuoles are often correlated to diseases, inflammations, and cell malfunctioning. [28,29] In particular, intracellular vacuolar structures have been described in the peripheral blood cells of patients affected by several genetic disorders belonging to the lysosomal storage diseases family (LSDs), [30] cancer, [31][32][33][34][35] and viral infections, [36][37][38] including the more recent SARS-CoV-2.…”
Section: Introductionmentioning
confidence: 99%
“…For example, TPI has been recently employed to study the association between vacuoles and cancer senescent engulfing cells. [27] In fact, vacuoles are often correlated to diseases, inflammations, and cell malfunctioning. [28,29] In particular, intracellular vacuolar structures have been described in the peripheral blood cells of patients affected by several genetic disorders belonging to the lysosomal storage diseases family (LSDs), [30] cancer, [31][32][33][34][35] and viral infections, [36][37][38] including the more recent SARS-CoV-2.…”
Section: Introductionmentioning
confidence: 99%
“…A shared aspect of these label-free multimodal approaches and similar reports 21 , 25 is the use of 2D QPI maps, capable of delivering only an integrated projection of the RI along sample thickness, to extract the morphological counterpart of the cell profile. On the other hand, TPM achieves 3D morphological imaging 20 , 26 , reconstructing a tomogram from multiple 2D phase images acquired at different illumination angles. 3D QPI unlocks additional quantitative data about cell morphology (e.g., cell volume, surface area, cell dry mass and density), and we consider that its combination with biomolecular fingerprints holds the potential of describing cell types in greater detail, boosting the accuracy of phenotype inference, even with limited population sampling.…”
Section: Introductionmentioning
confidence: 99%