3DModels_for_EVs_Munich_2019_v2_IN

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Establishment of CWR22-RV1 cells 3D culture conditions 1 day, FSC 2 day, FSC 1 day 2 day 3 day 4 day 5 day Scale bar: 50µm Input • 10^6 cells/well • 5% (EV-depleted) FCS • 1 matrix= 950 microwells • 2 matrixes = 16 ml Liliia Paniushkina TRA<strong>IN</strong>-EV ITN-Marie Curie
Comparative analysis of different EV populations from cells derived from 2D and 3D conditions Working steps 2D (225ml) 3D (16ml) Cell Cult ure Sup erna tant Differential centrifugation EV5 EV12 EV120 OptiPrep density gradient 10 fractions 10 fractions 10 fractions NTA, microBCA, DLS, qNano analysis
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: Application of 3DCoSeedis TM to pro
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 and 32: Immunohistochemistry of breast canc
Page 33 and 34: Breast cancer cells produce higher
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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