The
Plasmodium
parasites that cause malaria undergo an obligate,
asymptomatic developmental stage in the host liver before initiating the
symptomatic blood-stage infection. The parasite liver stage is a key
intervention point for antimalarial chemoprophylaxis: successful targeting of
liver-stage parasites prevents disease development in individuals and can help
to reduce parasite transmission in populations, as the gametocyte forms that
transmit infection to mosquitos are exclusively found in the blood stage.
Antimalarial drugs that can target multiple parasite stages are thus highly
desirable, and one emerging cellular target for such multistage active compounds
is the process of protein synthesis or translation. Quantitative study of liver
stage translation, and thus mechanistic evaluation of translation inhibitors
against liver stage parasites, is not amenable to the methods allowing
quantification of asexual blood stage translation, such as radiolabeled amino
acid incorporation or lysate-based translation of reporter transcripts. Here, we
present a method using o-propargyl puromycin (OPP) labeling of host and parasite
nascent proteomes in the
P. berghei
-HepG2 infection model, followed by automated
confocal image acquisition and computational separation of
P. berghei
vs.
H.
sapiens
nascent proteome signals to allow simultaneous readout of the effects of
translation inhibitors on both host and parasite. This protocol details our
HepG2 cell culture and infected monolayer handling optimized for microscopy, our
OPP labeling workflow, and our approach to automated confocal imaging, image
processing, and data analysis.
Key features
• Uses the o-propargyl puromycin labeling technique developed by Liu et al. to
quantitatively analyze protein synthesis in
Plasmodium berghei
liver-stage parasites in actively translating hepatoma cells.
• This quantitative approach should be adaptable for other puromycin-sensitive
intracellular pathogens residing in actively translating host cells.
• The
P. berghei
–infected HepG2 recovery and reseeding
protocol presented here is of use in applications beyond nascent proteome
labeling and quantification.