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Characterization of the Small Exported Plasmodium falciparum Membrane Protein SEMP1

Overview of attention for article published in PLOS ONE, July 2014
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Title
Characterization of the Small Exported Plasmodium falciparum Membrane Protein SEMP1
Published in
PLOS ONE, July 2014
DOI 10.1371/journal.pone.0103272
Pubmed ID
Authors

Olivier Dietz, Sebastian Rusch, Françoise Brand, Esther Mundwiler-Pachlatko, Annette Gaida, Till Voss, Hans-Peter Beck

Abstract

Survival and virulence of the human malaria parasite Plasmodium falciparum during the blood stage of infection critically depend on extensive host cell refurbishments mediated through export of numerous parasite proteins into the host cell. The parasite-derived membranous structures called Maurer's clefts (MC) play an important role in protein trafficking from the parasite to the red blood cell membrane. However, their specific function has yet to be determined. We identified and characterized a new MC membrane protein, termed small exported membrane protein 1 (SEMP1). Upon invasion it is exported into the RBC cytosol where it inserts into the MCs before it is partly translocated to the RBC membrane. Using conventional and conditional loss-of-function approaches we showed that SEMP1 is not essential for parasite survival, gametocytogenesis, or PfEMP1 export under culture conditions. Co-IP experiments identified several potential interaction partners, including REX1 and other membrane-associated proteins that were confirmed to co-localize with SEMP1 at MCs. Transcriptome analysis further showed that expression of a number of exported parasite proteins was up-regulated in SEMP1-depleted parasites. By using Co-IP and transcriptome analysis for functional characterization of an exported parasite protein we provide a new starting point for further detailed dissection and characterisation of MC-associated protein complexes.

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Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Kenya 1 2%
Belgium 1 2%
Unknown 50 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Student > Master 9 17%
Researcher 8 15%
Student > Bachelor 6 12%
Student > Doctoral Student 4 8%
Other 7 13%
Unknown 6 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 37%
Biochemistry, Genetics and Molecular Biology 12 23%
Medicine and Dentistry 6 12%
Immunology and Microbiology 2 4%
Computer Science 1 2%
Other 5 10%
Unknown 7 13%