In vivo identification of apoptotic and extracellular vesicle-bound live cells using image-based deep learning.

ABSTRACT: The in vivo detection of dead cells remains a major challenge due to technical hurdles. Here, we present a novel method, where injection of fluorescent milk fat globule-EGF factor 8 protein (MFG-E8) in vivo combined with imaging flow cytometry and deep learning allows the identification of dead cells based on their surface exposure of phosphatidylserine (PS) and other image parameters. A convolutional autoencoder (CAE) was trained on defined pictures and successfully used to identify apoptotic cells in vivo. However, unexpectedly, these analyses also revealed that the great majority of PS⁺ cells were not apoptotic, but rather live cells associated with PS⁺ extracellular vesicles (EVs). During acute viral infection apoptotic cells increased slightl

SUBMITTER: Kranich J 

PROVIDER: S-EPMC7480589 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature