The proteome landscape of Giardia lamblia encystation.

Faso, Carmen; Bischof, Sylvain; Hehl, Adrian B (2013). The proteome landscape of Giardia lamblia encystation. PLoS ONE, 8(12), e83207. Public Library of Science 10.1371/journal.pone.0083207

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Giardia lamblia is an intestinal protozoan parasite required to survive in the environment in order to be transmitted to a new host. To ensure parasite survival, flagellated trophozoites colonizing the small intestine differentiate into non-motile environmentally-resistant cysts which are then shed in the environment. This cell differentiation process called encystation is characterized by significant morphological remodeling which includes secretion of large amounts of cyst wall material. Although much is known about the transcriptional regulation of encystation and the synthesis and trafficking of cyst wall material, the investigation of global changes in protein content and abundance during G. lamblia encystation is still unaddressed. In this study, we report on the quantitative analysis of the G. lamblia proteome during encystation using tandem mass spectrometry. Quantification of more than 1000 proteins revealed major changes in protein abundance in early, mid and late encystation, notably in constitutive secretory protein trafficking. Early stages of encystation were marked by a striking decrease of endoplasmic reticulum-targeted variant-specific surface proteins and significant increases in cytoskeleton regulatory components, NEK protein kinases and proteins involved in protein folding and glycolysis. This was in stark contrast to cells in the later stages of encystation which presented a surprisingly similar proteome composition to non-encysting trophozoites. Altogether these data constitute the first quantitative atlas of the Giardia proteome covering the whole process of encystation and point towards an important role for post-transcriptional control of gene expression in Giardia differentiation. Furthermore, our data provide a valuable resource for the community-based annotation effort of the G. lamblia genome, where almost 70% of all predicted gene models remains "hypothetical".

Item Type:

Journal Article (Original Article)


08 Faculty of Science > Department of Biology > Institute of Cell Biology
08 Faculty of Science > Department of Biology > Institute of Cell Biology > Parasitologie

UniBE Contributor:

Faso, Carmen


500 Science > 570 Life sciences; biology




Public Library of Science




Carmen Faso

Date Deposited:

19 Sep 2019 16:03

Last Modified:

05 Dec 2022 15:29

Publisher DOI:


PubMed ID:





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