3DModels_for_EVs_Munich_2019_v2_IN

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Characterisation of Extracellular Vesicles by Electron Microscopy 2D 3D MDA-MB-231 231-Tspan8 MDA-MB-231 231-Tspan8 BT-549 BT-Tspan8 BT-549 BT-Tspan8 MCF7 MCF7-Tspan8 MCF7 MCF7-Tspan8 32 · April 4, 2019
Breast cancer cells produce higher amounts of small vesicles in 3D than in 2D culture under normoxia and hypoxia A. MDA-MB-361 B. MDA-MB-231 231-Tspan8 EVs released per cell Normoxia Hypoxia EVs released per cell EVs released per cell EVs released per cell Normoxia Hypoxia C. D. BT-549 BT-Tspan8 MCF7 MCF7-Tspan8 Normoxia Hypoxia Normoxia Hypoxia 33 · April 4, 2019
Page 1 and 2: Studying Intercellular Communicatio
Page 3 and 4: Tumor releases into microenvironmen
Page 5 and 6: Publications frequency of studies i
Page 7 and 8: Versatile EV functions in cancer Ko
Page 9 and 10: Biogenesis of extracellular vesicle
Page 11 and 12: The need of physiological in vitro
Page 13 and 14: Application of 3DCoSeedis TM to pro
Page 15 and 16: Application of 3DCoSeedis TM to pro
Page 17 and 18: Comparative analysis of different E
Page 19 and 20: EV populations produced under 2D an
Page 21 and 22: qNano measurements of EV120 Optipre
Page 23 and 24: To sum up ‣ The 3DCoSeedis TM are
Page 25 and 26: Studying breast cancer small EVs Ce
Page 27 and 28: Establishment of the 3D culture for
Page 29 and 30: Establishment of the 3D culture for
Page 31: Immunohistochemistry of breast canc
Page 35 and 36: To sum up ‣ The 3DCoSeedis TM are
Page 37 and 38: Cell spheroids and aggregates grow
Page 39 and 40: Overall up-regulation of miRNAs and
Page 41 and 42: 41 · April 4, 2019 ARF6 signaling
Page 43 and 44: Network integrated analysis reveale
Page 45 and 46: Network integrated analysis reveale
Page 47 and 48: Conclusions ‣ 3DCoSeedsis TM are
Page 49 and 50: 49 · April 4, 2019 Thery et al., J
Page 51: Exosomes and Tumor Biology Group Ou

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