Even if you're not doing single cell type studies, chances are you've got some percentage of your data that is being biased by nonviable / dead cells that may not represent what you're trying to study. We kept trying to do single cell on toxicity models and - if you're doing an IC50 study...50% of your cells are dead. So....do you care about the dead cells? And do the ones that are not dead, or possibly more resistant, represent your phenotype accurately?
What if you could easily deplete out the dead ones? Would that clean everything up?
Sure looks like it in this case! Over a 55% increase in signal for the proteins this group cares about. AND they got a list of high abundance proteins that seem to drop off when they remove dead cells. New markers for excessive cell death? Sounds like that to me!
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