GPIomics: global analysis of glycosylphosphatidylinositol-anchored molecules of Trypanosoma cruzi
Ernesto S Nakayasu1, Dmitry V Yashunsky2,a, Lilian L Nohara1, Ana Claudia T Torrecilhas3, Andrei V Nikolaev2 & Igor C Almeida1
- Department of Biological Sciences, The Border Biomedical Research Center, University of Texas at El Paso, El Paso, TX, USA
- Division of Biological Chemistry and Drug Discovery, College of Life Sciences, The Wellcome Trust Biocentre, University of Dundee, Dundee, UK
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil
Correspondence to: Igor C Almeida1 Department of Biological Sciences, The Border Biomedical Research Center, University of Texas at El Paso, 500 West University Avenue, El Paso, TX 79968, USA. Tel.: +1 915 747 6086; Fax: +1 915 747 5808; Email: icalmeida@utep.edu
Received 5 September 2008; Accepted 23 February 2009; Published online 7 April 2009
aOn leave from Research Institute of Biomedical Chemistry RAMS, Moscow 119121, Russia.
Top of pageArticle highlights
- The genome-wise prediction analysis of the human pathogen T. cruzi reveals that approximately 12% of its annotated sequences have potential glycosylphosphatidylinositol (GPI)-anchoring sites. This number is much higher compared to other lower eukaryotes, or even, higher eukaryotes.
- Currently available methods for the analysis of GPI anchors have low resolution and require large amounts of sample. Here, we show that a polystyrene/divinylbenzene-based resin linked to C4 groups achieves high performance in the purification of GPI-anchored proteins and protein-free GPIs (glycoinositolphospholipids, GIPLs).
- We have developed a liquid chromatography-mass spectrometry-based method for the large-scale analysis of the GPI-anchored molecules (GPIome) of T. cruzi epimastigotes. This analysis led to the characterization of 90 GPI species, of which 79 were novel. Also, we identified mucins of the TcSMUG S family as the major GPI-anchored glycoproteins expressed on T. cruzi epimastigote cell surface.
- The T. cruzi epimastigote GPIome is rich in short, heavily O-glycosylated GPI-anchored polypeptides and free GPIs (GIPLs). These glycoconjugates may protect the parasite against the insect digestive enzymes and promote the parasite interaction with the insect's midgut.
Synopsis
Glycosylphosphatidylinositol (GPI) anchoring is a common modification of proteins found on the surface of eukaryotic cells. In higher eukaryotes such as mammals, GPI biosynthesis is vital for embryonic development, and GPI-anchored proteins participate in important biological processes such as cell–cell interactions, signal transduction, endocytosis, complement regulation, and antigenic presentation (Paulick and Bertozzi, 2008). In lower eukaryotes such as protozoan parasites (e.g., Trypanosoma cruzi, Trypanosoma brucei, Leishmania spp., and Plasmodium spp.), which cause major endemic human infectious diseases worldwide (e.g., Chagas disease, sleeping sickness, leishmaniasis, malaria), GPI-anchored molecules extensively coat the parasite cell surface and actively participate in relevant parasite-mammalian host interactions (Ferguson, 1999).
T. cruzi is the etiologic agent of Chagas disease, or American trypanosomiasis, a neglected tropical disease that affects over 11 million people and causes an estimated 50 000 annual deaths in Latin America (Dias et al, 2002; Barrett et al, 2003; Moncayo and Ortiz Yanine, 2006). More recently, Chagas disease has become a public health menace for the U.S. and some European countries, where an increasing number of chronically T. cruzi-infected migrants from endemic countries are residing in (Bern et al, 2007; Piron et al, 2008). There are only two commercial drugs (Benznidazole and Nifurtimox) available for the treatment of Chagas disease, and both are partially effective and highly toxic. In addition, no human vaccine is currently available for treating or preventing Chagas disease (Garg and Bhatia, 2005; Dumonteil, 2007; Hotez et al, 2008). Therefore, there is an urgent need for new therapeutic targets against T. cruzi. In this regard, GPI-anchored proteins and free GPI anchors seem to be very attractive targets for development of new therapies for preventing or treating Chagas disease. These glycoconjugates play a central role in the parasite infectivity and host immune response against this deadly pathogen (Almeida and Gazzinelli, 2001; Buscaglia et al, 2006; Gazzinelli and Denkers, 2006; Acosta-Serrano et al, 2007).
T. cruzi has four developmental stages or forms, two (i.e., epimastigote and metacyclic trypomastigote) dwelling in the hematophagous triatomine insect vector (a Reduviidae, popularly known as the kissing bug), and two (i.e., amastigote and trypomastigote) in the mammalian host. The parasite can be transmitted by contaminated excrement of the insect vector, blood transfusion, organ transplantation, or congenitally. Each developmental stage of T. cruzi has been proposed to express a different subset of GPI-anchored proteins on the cell surface. These proteins are encoded by thousands of members of multigene families, such as trans-sialidase (TS)/gp85 glycoprotein, mucin, mucin-associated surface protein (MASP), and metalloproteinase gp63 (Buscaglia et al, 2006; Acosta-Serrano et al, 2007). Although some of the expressed members (proteins) of these multigene families have been shown to be modified by GPI-anchor addition, it has not been known how many of these gene products could possibly be GPI anchored. To answer this question, we performed a genome-wise GPI-anchoring prediction analysis. Here we show that approximately 12% of the annotated protein sequences of T. cruzi possibly code for GPI-anchored proteins. This number is much higher compared with other lower and higher eukaryotes that have in average from 0.5 to 2% of proteins predicted to be GPI anchored.
Despite the overall importance of GPI anchors, there is no universal methodology for the systematic analysis of these molecules. One of the major hurdles to develop a method for the large scale analysis of GPIs is their complex structure. The general structure of a GPI anchor comprises a hydrophobic lipid tail and a hydrophilic carbohydrate (glycan) core, which together provide a highly amphiphilic character for these molecules (McConville and Ferguson, 1993; Ferguson, 1999). The complex structure and amphiphilic nature of GPIs make their extraction and purification more difficult, and multiple techniques are required to determine their fine structure.
To overcome this problem, here we have developed a fast, simple, and highly sensitive approach that uses liquid chromatography-tandem mass spectrometry (LC-MSn) for the first large-scale analysis of GPI-anchored molecules (i.e., the GPIome) of a eukaryote, T. cruzi. In our study, we analyzed GPI-anchored molecules purified from the noninfective epimastigote forms of the parasite (Figure 3). Our analyses resulted in the identification 78 species of free GPIs (or GIPLs), of which 70 were novel species. Also, we identified 11 (8 novel) GPI species derived from GPI-anchored proteins (Supplementary Table I). Finally, we determined that mucins encoded by the T. cruzi small mucin-like gene (TcSMUG S) family are the major GPI-anchored proteins expressed on the epimastigote cell surface. Taken together, our results and others from the literature suggest that the T. cruzi epimastigote cell surface is covered by a variety of GIPLs, and to a less extent by short and highly glycosylated GPI-anchored mucins (Buscaglia et al, 2006). This thick layer of surface glycoconjugates may participate in the interaction of the parasite with the vector midgut and also may protect T. cruzi against the insect digestive enzymes. We also propose the use of this LC-MSn method for the global analysis of the GPIome of other pathogenic eukaryotes and mammalian cells, including healthy and modified (cancer) cells.
Figure 3
(A) General GPIomic approach. Organic extracts rich in GIPLs and GPI-anchored proteins were obtained as described in Materials and methods. The fraction rich in GIPLs was directly analyzed by LC-MS2 and LC-MS3, whereas the fraction rich in GPI-anchored proteins were digested with proteinase K or trypsin before LC-MS2 and LC-MS3 analyses. In both cases, the LC step was carried out using a POROS R1 10 column (75
m
10 cm) and the MS analysis was performed using a LTQXL ESI-linear ion-trap-MS. The resulting spectra were analyzed manually for annotation and assignment of the GPI species. (B) Data-dependent acquisition (DDA) (no dynamic exclusion enabled) LC-MS2 analysis of epimastigote GPIs. The extracted-ion chromatogram was plotted for four major GPI species. The plotted ion species correspond to the dehydrated alkylacylglycerol (AAG—H2O) and the loss of alkylacylglycerol moiety (M—AAG). The insert shows details about the m/z and the area of each peak. (C) Annotated MS2 spectrum from GPI structure at m/z 975.18 corresponding to EtNP-Hex4-[AEP]HexN-InsP-1-O-alkyl-C16:0-2-O-acyl-C24:0-Gro. (D) MS3 spectrum for the dehydrated AAG fragment at m/z 649.56. (E) Proposed fragmentation and structure of the novel GPI species (EtNP-Hex4-[AEP]HexN-InsP-1-O-alkyl-C16:0-2-O-acyl-C24:0-Gro) observed at m/z 975.18. Ac, acyl; Gro, glycerol.
Acknowledgements
This study is dedicated to Professor Luiz RG Travassos in celebration of his 70th birthday. We thank Drs Sid Das (University of Texas at El Paso) and Alvaro Acosta-Serrano (University of Liverpool) for continuous support, valuable suggestions, and critical reading of the manuscript; and Dr Tiago Sobreira (University of Sao Paulo, Brazil) for assistance in the GPI prediction analysis. This work was funded by the grants 1R01AI070655 and 2S06GM008012-37 (to ICA) and 5G12RR008124 (to BBRC/Biology/UTEP) from the National Institutes of Health, and the Wellcome Trust (067089/Z/02/Z, to AVN). ESN was partially supported by the George A Krutilek memorial graduate scholarship from Graduate School, UTEP. LLN was partially supported by the Good Neighbor Scholarship, UTEP; and Florence Terry Griswold Scholarship I, Pan American Round Tables of Texas. We thank the Biomolecule Analysis Core Analysis at the Border Biomedical Research Center/Biology/UTEP (NIH grant # 5G12RR008124), for the access to the LC-MS instruments.
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