A Workflow to determine temporal changes in organelle proteins throughout
infection.
B Workflow to determine changes in the subcellular localization of proteins
throughout infection.
C Data analysis to determine protein subcellular localization. The relative
abundance between organelle fractions collected using the methods in A or B are
inspected by dimensional reduction. Manually-curated organelle markers are used
to assess the quality of the organelle separation in the gradient and to
determine the identity of each cluster. Organelle markers are used to train
machine learning models, which then classify the remaining proteins, resulting
in confident spatial assignment of proteins at each time point of viral
infection.
See also fig S2.