Figures
Abstract
Background
Schistosome parasites cause schistosomiasis, one of the most important infectious diseases worldwide. For decades Praziquantel (PZQ) is the only drug widely used for controlling schistosomiasis. The absence of a vaccine and fear of PZQ resistance have motivated the search for alternatives. Studies on protein kinases (PKs) demonstrated their importance for diverse physiological processes in schistosomes. Among others two Abl tyrosine kinases, SmAbl1 and SmAbl2, were identified in Schistosoma mansoni and shown to be transcribed in the gonads and the gastrodermis. SmAbl1 activity was blocked by Imatinib, a known Abl-TK inhibitor used in human cancer therapy (Gleevec/Glivec). Imatinib exhibited dramatic effects on the morphology and physiology of adult schistosomes in vitro causing the death of the parasites.
Methodology/Principal Findings
Here we show modeling data supporting the targeting of SmAbl1/2 by Imatinib. A biochemical assay confirmed that SmAbl2 activity is also inhibited by Imatinib. Microarray analyses and qRT-PCR experiments were done to unravel transcriptional processes influenced by Imatinib in adult schistosomes in vitro demonstrating a wide influence on worm physiology. Surface-, muscle-, gut and gonad-associated processes were affected as evidenced by the differential transcription of e.g. the gynecophoral canal protein gene GCP, paramyosin, titin, hemoglobinase, and cathepsins. Furthermore, transcript levels of VAL-7 and egg formation-associated genes such as tyrosinase 1, p14, and fs800-like were affected as well as those of signaling genes including a ribosomal protein S6 kinase and a glutamate receptor. Finally, a comparative in silico analysis of the obtained microarray data sets and previous data analyzing the effect of a TGFβR1 inhibitor on transcription provided first evidence for an association of TGFβ and Abl kinase signaling. Among others GCP and egg formation-associated genes were identified as common targets.
Author Summary
Schistosomiasis is an infectious disease caused by schistosome parasites, affecting millions of people worldwide. The pathogenic consequences of schistosomiasis are caused by the eggs inducing severe organ inflammations. Praziquantel is widely used to treat schistosomiasis; however, there is fear of resistance developing. Research in the last decades has provided strong evidence for the importance of protein kinases controlling physiological processes in schistosomes. Two Abl-kinases were discovered, whose activities are blocked by Imatinib, an inhibitor known as Gleevec/Glivec from human cancer therapy. In vitro, Imatinib treatment led to dramatic effects on morphology and physiology and to the death of adult schistosomes. Besides modeling of the schistosome Abl-kinases we investigated the effect of Imatinib on gene expression in adult S. mansoni by performing transcriptomics and discovered a wide influence on the transcription of genes involved in surface-, muscle-, gut- and gonad-associated processes. Comparative in silico analyses with data from a previous study indicated a yet unknown association of TGFβ and Abl-kinase signaling in schistosomes. Among others the gynecophoral canal protein gene GCP was identified as a common target. The data obtained demonstrate a substantial influence of Imatinib on physiological processes in adult schistosomes supporting the role of protein kinases as interesting targets.
Citation: Buro C, Beckmann S, Oliveira KC, Dissous C, Cailliau K, Marhöfer RJ, et al. (2014) Imatinib Treatment Causes Substantial Transcriptional Changes in Adult Schistosoma mansoni In Vitro Exhibiting Pleiotropic Effects. PLoS Negl Trop Dis 8(6): e2923. https://doi.org/10.1371/journal.pntd.0002923
Editor: Aaron R. Jex, University of Melbourne, Australia
Received: January 29, 2014; Accepted: April 17, 2014; Published: June 12, 2014
Copyright: © 2014 Buro et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was financially supported by the Deutsche Forschungsgemeinschaft DFG (GR 1549/8-1; GR 1549/5-1) and the Bill & Melinda Gates Foundation (Grand Challenges Explorations Grant OPP1024324). CD and KC were supported by the Institut de la Sante et de la Recherche Medicale and the Université Lille Nord de France. SVA received funding by Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP). KCO received a fellowship from FAPESP and SVA received an established investigator fellowship award from Conselho Nacional de Desenvolvimento Cientifico e Tecnologico, Brasil. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: PMS is a principle investigator and RJM a leading scientist of MSD Animal Health Innovation GmbH. Under their guidance the modeling data were generated as a pure scientific cooperation without commercial interests. This affiliation does not alter our adherence to all the PLOS NTDs policies on sharing data and materials.
Introduction
Schistosomiasis is an infectious disease of worldwide importance caused by parasitic platyhelminthes of the class trematoda such as Schistosoma haematobium, S. intercalatum, S. japonicum, S. mansoni, or S. mekongi. About 780 million people are at risk of schistosomiasis, and more than 240 million infections emerge annually requiring treatment [1], [2]. Adult schistosomes live in the abdominal veins of their vertebrate hosts. Only if paired, females produce eggs, half of which reach the gut lumen (e.g. S. mansoni) or the bladder (S. haematobium), to be transported to the environment for continuing the life-cycle. Gut invasion is accompanied by inflammatory processes. The remaining eggs migrate through the blood stream and become trapped in spleen and liver tissue, where granulomas are formed and fibrosis occurs, leading to hepatosplenomegaly and liver cirrhosis [3], [4]. The disease has a high socioeconomic impact causing annual losses of 1.7 to 4.5 million disability adjusted life years (DALYs) of humans living in endemic areas [5], [6], but tourists and travelers can also be affected [7]. Besides humans, animals including cattle can get infected, too, which causes economic losses [8]–[11].
Since there is no vaccine available yet, the main strategy to control schistosomiasis is the regular use of drugs, of which three have the potency to kill schistosomes. Of the drugs available today Metrifonate is active against S. haematobium only and Oxamniquine is active against S. mansoni only. In contrast to these limitations, although its effectiveness against immature stages is limited Praziquantel (PZQ) is effective against all important schistosome species mainly affecting adults [12]. This and its low price have promoted PZQ as the drug of choice, which is also used in large-scale treatment programs today [13], [14]. However, drug resistance has been recognized as a potential problem since several studies demonstrated PZQ resistance to be inducible in laboratory settings, and field studies provided first indications for the possibility of reduced PZQ efficacy [15]–[18]. Furthermore, multidrug transporters were discovered in schistosomes, of which one was shown to respond to a PZQ challenge [19]. With respect to these facts it is commonly accepted that new drugs are required urgently. To this end research on signal transduction processes in S. mansoni has opened new perspectives.
Protein kinases (PKs) are highly conserved signal transduction molecules in the animal kingdom and known to be involved in diverse biological processes such as cell growth and differentiation [20]. Thus PK deregulation can lead to cancer development [21]–[22]. This prompted the search for inhibitors, and meanwhile a number of anticancer drugs targeting PKs are approved for use in humans [21]–[24]. Different studies elucidating principles of schistosome development have shown that PKs play important roles during parasite development [25]–[30]. Due to this, and to the fact that schistosomes can be kept in culture, providing access to adults ex vivo, several studies were conducted to investigate whether anticancer drugs would negatively affect PK-controlled processes in schistosomes and cause phenotypic consequences in adults. Indeed, targeting a variety of different kinases using different drugs with PK-inhibiting activities not only showed a negative influence on the reproductive biology of parasites but also remarkable effects on other physiological processes and/or survival in vitro [29]–[37].
Among the PKs studied in more detail were protein tyrosine kinases (PTKs) such as Abl kinases, three of which exist in S. mansoni. SmAbl1 and SmAbl2 exhibit high sequence similarities to conserved Abl-kinases [38], whereas SmTK6 revealed a Src/Abl hybrid character that was confirmed by structural and biochemical studies [39]. Imatinib was used as an inhibitor to analyze Abl-PK activities in adult S. mansoni [38], [39]. Also known as Glivec (Gleevec; Novartis) Imatinib is a small-molecule inhibitor acting as a competitive antagonist of adenosine triphosphate (ATP) binding to Abl-PK, which is applied successfully in human cancer therapy [40]. Structural analyses revealed that the S. mansoni Abl-PKs possess the majority of amino acid residues known from studies with the human Abl-kinase to interact with Imatinib [38], [41]. Furthermore, the Xenopus oocyte system was shown to be suitable to test the catalytic activity of schistosome tyrosine kinases (TKs) [31], [39]. Thus it was demonstrated that SmAbl1-TK, SmTK6-TK, and SmTK3-TK were able to induce 100% germinal vesicle breakdown (GVBD) [39]. Using competitive GVBD assays it was further demonstrated that Imatinib negatively influenced the kinase activities of SmAbl1-TK (0% GVBD at 1 µM) and SmTK6-TK (0% GVBD at 100 µM). Although the latter required a 100-fold higher concentration compared to SmAbl1-TK, this was explained by the unusual Src/Abl hybrid character of SmTK6. Herbimycin A (Herb A), a Src-TK inhibitor, was not able to fully reduce the GVBD-inducing activity of SmAbl1 (60% GVDB at 10 µM) in contrast to SmTK6, whose activity was fully suppressed at this concentration. The enzymatic activity of SmTK3, a Src kinase used as control, was fully suppressed by Herb A (0% GVBD at 0.01 µM) but revealed nearly no decrease under the influence of Imatinib (still 90% GVBD at 100 µM), confirming the specificity of these inhibitors [39].
Treating adult schistosomes with Imatinib in vitro led to dose- and time-dependent effects such as reduced pairing stability, the occurrence of bulges and swellings along the body and, finally, the death of the worms. Microscopic analyses showed not only morphological changes within the gonads of both genders, which appeared disordered, defective in differentiation, and in part apoptotic, but also a detachment and degradation of the gastrodermis. Its complete collapse explained the observed death of the parasites [38]. In a follow-up study it was shown that Dasatinib and Nilotinib, second generation Abl-PK inhibitors of high selectivity, were less effective compared to Imatinib in causing severe or even lethal effects on adult schistosomes in vitro. Since Dasatinib and Nilotinib were designed to be even more specific for mutated forms of the human Abl-PK, it was concluded that the more specialized the inhibitor for the human kinase is, the more efficacy for the schistosome kinase gets lost [42].
Because in situ hybridizations detected various regions within adult S. mansoni where these Abl- and Abl-like PKs of S. mansoni were transcribed [36], [38], pointing to different physiological functions these kinases may be involved in, we were interested in investigating the effects of Imatinib at the gene transcription level in treated schistosomes. Besides confirming that Imatinib also affected SmAbl2 kinase activity in a heterologous test system, a transcriptome study was performed by microarray analyses and qRT-PCR verification experiments. Strong evidence was obtained that gene transcription is widely influenced supporting the view that a variety of physiological processes have been affected by this Abl-PK inhibitor. This is in line with previous hypotheses suggesting that PKs, due to their pleiotropic and fundamental roles for schistosome biology, are substantiated targets for novel strategies to treat schistosomiasis [42], [43]. Furthermore, first evidence was obtained that Abl-kinase activities could be part of/or associated with transforming growth factor β (TGFβ) signaling in schistosomes.
Materials and Methods
Ethics statement
Experiments with hamsters were performed in accordance with the European Convention for the Protection of Vertebrate Animals used for Experimental and other Scientific Purposes (ETS No 123; revised Appendix A) and were approved by the Regional Council (Regierungspraesidium) Giessen (V54-19 c 20/15 c GI 18/10).
Parasite stock
Biomphalaria glabrata as intermediate snail-host, and hamsters (Mesocricetus auratus) as final host were used to maintain the parasite cycle of S. mansoni [44]. Adult worms were isolated from hamsters by hepatoportal perfusion 42 days post infection.
Homology modeling
Chemical Computing Group's MOE 2011 (http://www.chemcomp.com/) molecular modeling suite was used for the homology modeling. The highly conserved catalytic tyrosine domains [38] of human Abl1 (2HYY) and Abl2 (3GVU) were used as templates for the model building of SmAbl1 and SmAbl2, respectively. The two homologous sequences were aligned using MOE's kinase constraints, and the models were built using the Amber99 force field with R-Field solvation. Crystallographic water molecules in an H-bond network with the ligand Imatinib and the ligand itself were used as “Environment for Induced Fit” during model building. Intermediates were refined to medium using the GB/VI scoring, while the final model was refined to Fine with an RMS Gradient of 0.5.
Molecular Docking
Molecular Docking was carried out using Cambridge Crystallographic Data Centre's GOLD suite 2.5 (http://www.ccdc.cam.ac.uk/). Imatinib was sketched in 2D and converted to 3D using Molecular Networks' CORINA (http://www.molecular-networks.com/). Docking was performed using the Chemscore scoring function with kinase parameters, and the binding site was defined using the position of the Imatinib ligand as modeled in the SmAbl1 and SmAbl2 homology models. Parameters for the genetic algorithm were set to auto. Water molecules used for the model building were allowed to participate in the docking.
GVBD assays in Xenopus oocytes
Sequences of the tyrosine kinase (TK) domains of SmAbl1, SmAbl2, SmTK6, and SmTK3 were obtained by PCR amplification (primers used are given in Supplementary data S1) and cloned into the plasmid pcDNA3.1B (Invitrogen), which contained a T7 promoter for in vitro transcription. The resulting constructs SmAbl1-TK, SmAbl2-TK, SmTK6-TK, and SmTK3-TK were sequenced confirming intact open reading frames (ORFs). The plasmid constructs were linearized by PmeI and cRNAs were generated using the T7 mMessage mMachine Kit (Ambion, USA). This way capped messenger RNAs (cRNAs) were synthesized in vitro and analyzed as previously described [31], [38], before they were injected into stage VI oocytes of Xenopus laevis. To this end each oocyte was injected with 60 ng cRNA in the equatorial plane, followed by incubation in ND96 medium at 19°C. GVBD (germinal vesicle breakdown) activity was determined according to the appearance of a white spot at the animal pole 18 h following injections. As shown before, this system was used successfully to monitor schistosome kinase activities [31], [38], [39]. Here it was used to investigate kinase activities under the influence of Imatinib (Enzo Life Sciences; 170 mM stock solution in water), an Abl-kinase inhibitor, or the Src kinase inhibitor Herbimycin A (Herb A) as control (Tocris Bioscience; 10 mM stock solution in DMSO). Pools of 10 oocytes each were injected with SmAbl1-TK, SmAbl2-TK, SmTK3-TK, or SmTK6-TK cRNA and placed in ND96 containing different concentrations of Imatinib (0.01 µM to 100 µM final) or Herb A (0.0001 µM to 10 µM final). As negative control, non-injected oocytes were used. As positive controls, oocytes were incubated with the natural hormonal stimulus progesterone leading to 100% GVBD without further manipulation [45].
Schistosome in vitro-culture and inhibitor treatments
Perfusion was done with M199 medium (Gibco). Paired adult worms were collected using fine tweezers and washed with M199 medium (2x). Subsequently, they were maintained in culture in M199 supplemented with FCS (Gibco; 10%), HEPES (Sigma; 1 M, 1%), and antibiotic/antimycotic mixture (Sigma; 1%) at 37°C and 5% CO2 [36], [38]. Inhibitor treatment was performed for 24 h or 48 h with 50 µM Imatinib (Imatinib mesylate, C29H31N7O·CH3SO3H, dissolved in water; Enzo Life Sciences) as previously described [38]. Control couples were kept in culture for 24 h or 48 h without inhibitor addition but otherwise treated using the same conditions. During the treatment periods, pairing stability and vitality were checked regularly. We defined pairing stability of couples when males kept their female partners within the gynecophoral canal while being sucked with their ventral suckers to the Petri dish. When couples separated, or when males stopped sucking to the Petri dish and/or lay on the side (a sign of decreasing vitality), the appropriate worms were not used for experiments and removed. After completion of treatment, the couples (inhibitor-treated and control) were carefully separated using featherweight tweezers, immediately shock-frozen in liquid nitrogen, and stored at −80°C.
RNA isolation and microarray experiments
Trizol (Invitrogen) was used to extract RNA from treated or control worms (combined sexes in both cases) followed by a DNAse digestion (RNAeasy kit; Qiagen). The quality of RNA was checked by microfluidic electrophoresis (Bioanalyzer; Agilent Technologies). For microarray experiments a S. mansoni custom-designed oligonucleotide platform (60-mers) was used containing 44,000 probes representing nearly the complete S. mansoni and S. japonicum transcriptome (Agilent Technologies; [46], [47]). All associated information (probes, annotation) is available at Gene Expression Omnibus (GEO) under the accession number GPL8606.
For the microarray experiments RNA from treated and control males and females (300 ng each for biological replicates) was used for cDNA amplification followed by Cy3 and Cy5 labelling during in vitro transcription (Quick Amp Labelling Kit, two colors; Agilent Technologies). Dye-swap approaches were done as internal technical replications for each sample. Three microarray hybridizations were performed for each sample (inhibitor treatment for 24 and 48 h as well as control), which included two technical replicates for each of the three biological replicates. As probe for hybridization, 825 ng cRNA of each labelled inhibitor sample was used and combined with a control sample labelled with the opposite dye. Hybridization was done at 65°C for 17 h with rotation followed by slide washing (according to the Agilent manual) and scanning (Gene Pix 4000B Scanner; Molecular Devices). Raw data were acquired using the Feature Extraction software (Agilent Technologies). They are available under GEO study number GSE53154. For subsequent data analyses, genes were considered as transcribed only if the corresponding probe had a signal significantly higher than background (using default parameters from the Feature Extraction software and considering the “IsPosAndSig” result from the output). In addition, signals of a probe had to occur in at least 75% of all replicates and in at least one of the two conditions (inhibitor-treated or control) independent of the length of cultivation (24/48 h treatment versus 24/48 h untreated control). The quality of the microarray expression data was assessed by the overall Pearson correlation among technical replicates, which was found to be in the range of 0.93 to 0.99 (average 0.98). LOWESS algorithm was used for normalisation of intensities [48], and the log2ratios were calculated between inhibitor-treated and control groups. Finally, the filtered data were analysed on the basis of the updated genome annotation to eliminate redundancy of the probes per gene [49], [50]. Inspection of box plots revealed that intensities from both dye channels of all technical and biological replicates were in a similar range, showing that no additional normalization steps were necessary.
SAM (Significance Analysis of Microarrays) was used [51] to detect genes with a significant change in transcript level. Data sets for the two treatment periods (24 h and 48 h) were analysed by one-class analysis, in which transcripts were evaluated that showed the same direction of regulation for both time points (sustained regulation direction). Here, genes with a q-value ≤0.01 were considered as significantly differentially transcribed between the inhibitor-treated and the control worm populations comprising protein-coding genes and putative antisense-oriented oligonucleotide probes (labelled as “to be used in analysis = YES” in the updated annotation of the array [49], [50]). Spotfire was used for hierarchical clustering [52]. For first functional analyses of differentially transcribed protein-coding genes, Gene Ontology (GO) enrichment analysis was performed [53] using the software tool Ontologizer [54]. Parent-child union [55] was used to detect categories containing enriched genes, and the p-value was adjusted according to Benjamini-Hochberg (BH) correction [56]. For identifying potential candidates for further analyses and their putative involvement in hypothesized pathways, Ingenuity Pathway Analyses (IPA; http://www.ingenuity.com; [57]) were performed in addition, as described before [47]. IPA provides curated information from the literature for human, mouse and rat models about canonical pathways, regulated molecular networks, including signal transduction cascades (of which some are involved in human cancer or other diseases), and regulated transcription factors and their putative targets. To use this tool all S. mansoni genes were annotated with the corresponding human homolog and uploaded to IPA along with their corresponding microarray transcription measurements.
The validity of the obtained results of qRT-PCRs (see below) and microarrays was determined by Spearman's rank correlation coefficient (rs) [58].
Quantitative RT-PCR experiments
The reliability of the transcriptional changes detected by microarray analyses was tested by quantitative RT-PCR (qRT-PCR) analyses of a number of genes. RNAs of inhibitor-treated or control couples were isolated by TriFast (PeqLab), and 1 µg each was reverse transcribed (QuantiTect Reverse Transcription kit; Qiagen). Following cDNA dilution 1∶20, qRT-PCRs were done using Rotor Gene Q (Qiagen). Amplification rates were determined by SYBRGreen incorporation (PerfeCTa SYBR Green Super Mix; Quanta). Melting point analyses were done to distinguish between the specific amplification product and unspecific primer-dimer formation following each qRT-PCR analysis. For primer design, the software Primer 3 Plus was used (http://www.bioinformatics.nl/cgi-bin/primer3plus/primer3plus.cgi). The expected amplification products were between 140–160 bp in size. Primers were designed flanking predicted introns to be able to differentiate between cDNA and genomic DNA, and melting points were between 59°C–62°C depending on sequence composition. A list of all primers used, which were commercially synthesised by Biolegio (Netherlands), is shown in Supplementary data S1.
Standard reference genes normally used for relative quantification analyses such as α-tubulin, actin, Cu/Zn SOD (superoxide dismutase), or histone showed regulation following inhibitor treatment. Therefore, absolute quantification was performed on the basis of standard curves generated by purified PCR products (used in dilution series) [59]. Fold changes are given where appropriate. As a basis for comparing microarray and qRT-PCR results, log2ratios (treated/control) were calculated as described before [47], [60]. The efficiency of each qRT-PCR was evaluated to be between 90–100%. Spearman's rank correlation coefficient (rs) was assessed to validate the ratios obtained from qRT-PCRs and microarrays [58], [61], [62].
In silico analyses
In addition to those already mentioned, the following public domain tools were used: SchistoDB (http://www.schistodb.net; [63]), BLASTx (http://www.ncbi.nlm.nih.gov/BLAST), the Welcome Trust Sanger Institute S. mansoni OmniBlast (http://www.sanger.ac.uk/cgi-bin/blast/submitblast/s_mansoni/omni), BLAST (http://blast.ncbi.nlm.nih.gov/), and Gene Cards, which is a database of human genes providing concise genome-related information on all known and predicted human genes, to authenticate IPA-identified gene acronyms (http://www.genecards.org).
Results
Homology modeling revealed structural conformity between human and schistosome Abl-kinases
On the basis of their human counterparts, homology models of the S. mansoni Abl kinase 1 and 2 were created which corresponded well with the protein template structures 2HYY (human Abl 1) and 3GVU (human Abl 2). The ten highest scoring docking poses of Imatinib in the homology model of SmAbl2 were found in good structural agreement with the crystal structure pose of Imatinib in the human Abl2 crystal structure (Figure 1 A; SmAbl1 data not shown). The highest scoring docking pose is virtually identical to the crystal structure pose (Figure 1 B). While human Abl2 forms seven directed interactions with Imatinib (Figure 2), for the SmAbl2 homology model four directed interactions were detected (Figure 1 C, Figure 2). Two out of the four SmAbl2 interactions are shared with the human Abl2 interactions (Figure 2). For SmAbl1 the situation was similar. Key residues involved in direct interactions with Imatinib in the human Abl proteins were found to be conserved for all four protein sequences. Four out of the six directed interactions were also detected for the SmAbl1 homology model. In contrast to human Abl 1, one of these residues (D568) did not interact directly with Imatinib; however, it did via an H-bond network involving a water molecule. Since we docked Imatinib to homology models, the recovery of individual directed interactions should not be overstated. Although we docked Imatinib to homology models, the data clearly indicated that Imatinib is able to bind both SmAbl1 and SmAbl2.
Panels A to C: Structural comparisons of the molecular docking solutions of the SmAbl2 homology model versus the human Abl2 crystal structure (3GVU). Both protein structures are shown in ribbon representation, the SmAbl2 homology model is colored yellow, while the human Abl2 crystal structure is colored red. A: Structural superposition of the two protein structures. The ten highest scoring docking solutions for Imatinib in the SmAbl2 homology model were depicted in stick representation in atom color, the crystal structure pose of Imatinib in the human Abl2 crystal structure is depicted in ball-and-stick representation colored red. Hydrogen atoms were omitted for visibility reasons in the depiction. The RMSD value of the template and the model structure resulted in a Cα RMSD (root-mean-square deviation) value of 0.765 Å of the corresponding 245 amino acid residues. B: Close-up view of the binding sites of the two protein structures. The top-scored pose of Imatinib in the SmAbl2 homology model was depicted in stick representation with light-grey carbon atoms, the crystal structure pose of Imatinib in human Abl2 was depicted in stick representation with dark grey carbon atoms. C: Close-up view of the binding site of SmAbl2 homology model. Imatinib engages in four directed interactions to surrounding amino acid residues, depicted by light blue dashed lines.
Alignment: Structural alignment of the binding sites of human (HsAbl1, HsAbl2) and S. mansoni (SmAbl1, SmAbl2) Abl kinases focused on the highly conserved catalytic tyrosine domain [37]. Amino acid residues partnering in directional interactions with Imatinib are highlighted ocher and red for SmAbl1/2 and HsAbl1/2, respectively. Amino acids D568 and K457 of SmAbl1 are colored light teal, because they are not direct interaction partners to Imatinib but utilize a water molecule.
S. mansoni Abl-TK activities are inhibited by Imatinib
An inhibitor swap-like approach [38] was used to test the enzymatic activity of SmAbl2, for its susceptibility towards Imatinib and Herb A. To this end, cRNA encoding the TK domain of SmAbl2 (SmAbl2-TK) was injected into Xenopus oocytes under selection conditions using different inhibitor concentrations. GVDB was monitored as read out, and the results compared to SmAbl1, SmTK6 and SmTK3 [38]. Under Herb A selection, SmAbl2-TK induced 100% GVBD at 1 µM and still 90% GVBD at 10 µM (Figure 3). The Src-TK SmTK3 and the Src/Abl-hybrid TK SmTK6 were completely inhibited by Herb A inducing GVBD at concentrations of 0.01 µM (SmTK3), or 10 µM (SmTK6) [39]. Using Imatinib, however, SmAbl2-TK enzymatic activity was reduced to 70% GVBD-inducing capacity at 0.01 µM and completely suppressed GVBD at 0.1 µM. At the latter concentration still 90% GVBD was observed for SmAbl1-TK, whose activity was completely suppressed using 1 µM Imatinib (Figure 3). These results showed that Imatinib effectively inhibits both Abl kinases of S. mansoni, which is supported by the modeling data presented above.
Results of the GVBD assays performed in Xenopus oocytes to analyze schistosome-kinase activities under inhibitor influence. Herbimycin A completely inhibited SmTK3 TK enzymatic activity (circles, black) even at 0.01 µM, whereas 10 µM was needed to stop inhibit SmTK6 (squares, grey)-induced GVBD [38]. At this concentration the GVDB-inducing TK activities of SmAbl1 (rhombus, grey) and SmAbl2 (triangle, black) were reduced by only 40% or 10%, respectively. Imatinib completely inhibited GVBD induced by the TK activities of SmAbl1 (at 1 µM) or SmAbl2 (at 0.1 µM), whereas SmTK6-induced GVBD was stopped at 100 µM, a concentration that reduced SmTK3 TK-induced GVBD by only 10% [38].
Transcriptome analyses of inhibitor-treated adults exhibited wide-ranging transcriptional changes
Based on our previous findings of remarkable effects of Imatinib on morphology, physiology, and survival of adult S. mansoni in vitro [38], [42], we focused on the elucidation of molecular effects induced by this inhibitor. To this end, a large-scale transcriptional analysis was performed using a microarray platform representing nearly the complete S. mansoni and S. japonicum transcriptomes [46], [47]. Since in previous experiments treatment with 50 µM Imatinib showed slight effects after 24 h and strong effects after 48 h treatment [38], we anticipated that these treatment profiles represented starting (24 h) and peak points (48 h) of the effects induced, thus being interesting for analysis. Therefore, the 50 µM concentration and both time points were chosen for comparative transcriptomics. Based on the results of the GVBD assays it was anticipated that 50 µM Imatinib would not induce potential off-target effects through co-influencing Src kinases such as SmTK3 since its inhibition will not occur using this inhibitor concentration [39; this study]. With this set-up, the expectation was to find genes differing in their transcript levels under inhibitor influence. It was hypothesized that transcript levels of genes strongly regulated by signaling pathways including SmAbl1/2-kinases would show a continuous tendency of regulation during the treatment period of 48 h representing sustained transcriptional changes.
Following microarray hybridization and data evaluation a one-class statistical analysis was performed that revealed sustained transcriptional changes of 1429 significantly differentially transcribed genes which were up-regulated following Imatinib-treatment. Of these, 1094 were protein-coding genes (Supplementary data S2, S3). The remaining transcripts represented antisense RNAs, intronic and UTR sequences. Among the protein-coding genes were candidates coding for serine/threonine PKs, PTKs, proteins with female-preferential or -specific functions such as egg synthesis, transcription factors, muscle-associated proteins, small GTPases, heat-shock proteins, and signal transduction/associated proteins (Supplementary data S4). Furthermore, 939 protein-coding genes were found to be significantly down-regulated. These genes potentially code for cathepsins, lipoproteins, VAL(venome allergen-like) proteins, glutamate receptors and further transporters, the gynecophoral canal protein (GCP), motor and/or muscle proteins, drug efflux proteins, transmembrane receptors, calmodulin and other calcium binding proteins, histones, spermatogenesis-/testis-associated proteins, a morphogen-binding protein, signal transduction (-associated) proteins, and a cell adhesion protein (Supplementary data S5).
GO analyses of differentially transcribed genes revealed ontology categories enriched with genes being up- or down-regulated (BH adjusted p-value ≤0.05; threshold = 0.1). Examples of GO categories represented in the up-regulated genes were: gene expression and transcription (Biological process), myosin complex (Cellular compenent), kinase activity and transcription factor activity (Molecular Function) (Supplementary data S4, S6). Within the data set of down-regulated genes, GO categories were found for enriched genes coding for functions such as e.g. transmembrane transport or cell surface receptor-linked signalling pathways (Biological process), membrane and microtubule-cytoskeleton/associated complex (Cellular component), and signal transducer activity, transporter activity or cysteine-type endopeptidase activity (Molecular function) (Supplementary data S5, S7).
Using IPA, the following five networks were identified, which were enriched with proteins coded by differentially transcribed genes involved in the following functions: (1) Protein Degradation, Protein Synthesis, Tumor Morphology (adjusted p-value 10−80), (2) RNA Post-Transcriptional Modification, DNA Replication, Recombination, and Repair, Cellular Assembly and Organization (adjusted p-value 10−69), (3) Post-Translational Modification, Protein Folding, Carbohydrate Metabolism (adjusted p-value 10−60), (4) Developmental Disorder, Gene Expression, Genetic Disorder (adjusted p-value 10−40), and (5) Carbohydrate Metabolism, Drug Metabolism, Lipid Metabolism (adjusted p-value 10−39) (Supplementary data S8). Among the molecules with the largest fold-changes of transcription was a potential pseudo-glutamine synthetase (LGSN) strongly (about 9-fold) up-regulated, which in the human system is reported to have a chaperone function for the reorganization of intermediate filaments acting as a component of the cytoskeleton [64]. Amongst the strongly down-regulated (about 8 to 11-fold) transcripts were those encoding peptidases such as cathepsins (CatK, CatS, CatL), which are members of the peptidase C1 protein family and known in humans to participate in protein processing during immunological processes and several disease-associated pathologies [65], [66]. In summary, a number of processes were highlighted by both GO analyses and IPA that were influenced by inhibitor treatment pointing to candidate genes such as cathepsins for further analyses.
Confirmation of selected differentially transcribed genes by quantitative RT-PCR
The selection of candidates for qRT-PCR experiments to verify differential transcription was based on GO and IPA results, but also on literature studies including the Imatinib-induced phenotypes in adults obtained previously (negative effects on pairing-stability, oogenesis and spermatogenesis, integrity of the gastrodermis, and locomotion [38], [42]). Since GO and IPA analyses indicated influences of Imatinib treatment on endopeptidase activity and cathepsins, respectively, we chose cathepsin K (Smp_139240) and cathepsin B (Smp_085180). The latter was already shown to be active in the gut [67]. This applies also to the selected hemoglobinase (Smp_075800), which was localized to the gut [68]. Venom allergen-like proteins (VALs) of platyhelminths are members of the SCP/TAPS (Sperm-Coating Protein/Tpx-1/Ag5/PR-1/Sc7) protein superfamily and hypothesized to play not only roles in spermatogenesis but also beyond [69], which led to the choice of VAL7 (Smp_070240). The metabotropic glutamate receptor (Smp_128940; [70]) was selected as a representative for cell surface receptors and its potential role in the nervous system of adult male and female schistosomes [71]. Finally, GCP was included due to its hypothesized role in male-female interaction [72]. The results of the qRT-PCR experiments, which were performed with the RNA of schistosome couples following 48 h Imatinib treatment, confirmed in each case the down-regulation of these transcripts (Figure 4).
Comparative qRT-PCR analyses of genes identified by microarray analyses to be down-regulated in schistosome couples 48 h following Imatinib (50 µM) treatment. The selected genes encode the gynecophoral canal protein GCP (Smp_212710; [72], [82], [83]), the metabotropic glutamate receptor (met. glut. receptor; Smp_128940; [70]), hemoglobinase (Smp_075800), the venom allergen-like protein VAL7 (Smp_070240), cathepsin S (Smp_139240), and cathepsin B (Smp_085180; [67]). Log2ratios (treated/control) are given for all biological replicates comparing the results of three independent biological replicates using qRT-PCR (dark gray-shaded columns; numbered 1–3) with the results of three independent microarray analyses (light grey-shaded and white columns; numbered 4–6).
Since the GO analysis of up-regulated genes pointed to muscular activities (myosin complex within the ontology cellular component) but also to signal transduction (kinase activity within the ontology molecular function), further candidates were selected for qRT-PCR. Among these were paramyosin (Smp_129550) and titin (Smp_105020), both proteins involved in muscle activity [73], [74], and a ribosomal protein S6 kinase (Smp_017900) due to its potential role as a MAPK-activated PK in signalling processes controlling diverse processes including survival [75], [76]. Furthermore, HSP70 (Smp_106930) was chosen due to its known roles in stress response and signal transduction processes, but also as egg-shell component in schistosomes [77]–[79]. The results of the qRT-PCR analyses confirmed up-regulation in each case (Figure 5).
Comparative qRT-PCR analyses of genes identified by microarray analyses to be up-regulated in schistosome couples 48 h following Imatinib (50 µM) treatment. The selected genes encode a predicted egg-shell precursor protein (Smp-000430; [47]), a ribosomal protein S6 kinase (rib. protein S6 kinase; Smp_017900), paramyosin (Smp_129550; [73]), HSP70 (Smp_106930; [77], [78]), fs800-like (Smp_000270; [79]), titin (Smp_105020), p14 (Smp_131110; [80]), and the tyrosinase 1 (SmTYR1; Smp_050270; [81]). Log2ratios (treated/control) are given for all biological replicates comparing the results of three independent biological replicates using qRT-PCR (dark gray-shaded columns; numbered 1–3) with the results of three independent microarray analyses (light grey-shaded and white columns; numbered 4–6).
Unexpectedly, a manual data screen indicated that a number of egg production-related genes were significantly up-regulated following Imatinib treatment such as the egg-shell precursor proteins p14 (Smp_131110; [80]), fs800-like (Smp_000270; [79]), a predicted egg-shell precursor protein (Smp-000430; [47]), and the eggshell protein cross-linking tyrosinase SmTYR1 (Smp_050270; [81]). Also for these genes, qRT-PCR confirmed up-regulation following Imatinib treatment (Figure 5).
The results obtained for the qRT-PCR analyses of all studied genes significantly correlated to the microarray data according to Spearman's Correlation Coefficient (rs = 0.784, p<0.001; [58]).
Extended analyses indicated that Imatinib treatment can lead to a sustained effect on specific genes. By qRT-PCR analyses of RNA of couples treated with Imatinib for 24 h or 48 h, the amounts of gene transcripts increased or decreased over time as demonstrated exemplary by the analyses of three genes. Compared to 24 h treatment higher transcript levels were determined for the ribosomal S6 kinase after 48 h (Supplementary data S9), whereas transcript levels declined for hemoglobinase and GCP from 24 h to 48 h (Supplementary data S10, S11).
Merging microarray data sets of Imatinib and TRIKI treatments of adult schistosomes provided first evidence for a TGFβ-pathway contribution
Since the couples used for these analyses were separated before freezing, we checked whether pairing had an influence on the transcription of the GCP gene, which was hypothesized before to be a target of a TGFβ-pathway but also a male factor contributing to pairing-dependent female maturation [72], [82], [83]. A qRT-PCR analysis using actin as reference gene showed that the status of pairing had no significant influence on the GCP transcript level, since there was no significant difference in transcript levels comparing males with and without pairing experience or males separated from their female partners (Supplementary data S12). This finding is also supported by results of a recent study comparing the transcriptomes of pairing-experienced males versus naïve males using microarrays, SuperSAGE and also qRT-PCR, in which no evidence for an influence of pairing on GCP expression was found [84]. Thus the decrease of the GCP transcript level following Imatinib treatment represented an inhibitor-specific effect.
Recent years have provided compelling evidence for a prominent role of TGFβ signalling in schistosome biology [27], [47], [84], [85], [86]. Results of a previous study suggested GCP to be part of TGFβ signalling pathways [82]. Furthermore, the effect of a specific TβRI kinase-inhibitor (TRIKI) was investigated in schistosomes. In vitro-culture experiments with couples provided first evidence for a role of the TGFβ pathway during the regulation of mitotic activity and egg production [26]. Subsequently, it was shown by microarray analysis using the same technical platform that genes contributing to these processes, such as egg shell-forming genes, were slightly up-regulated upon TRIKI treatment [47]. Analysing the microarray data following Imatinib treatment in the present study we observed that a number of specific genes were differentially regulated that had shown up in the previous analysis as well. Since there is evidence from the literature that Abl-kinases can be part of TGFβ signalling pathways [87], [88] we investigated whether this may apply for schistosomes as well and compared both data sets in a merging analysis. To this end the Imatinib data set of this study and the TRIKI data set of the previous microarray study [47] were compared using a significance q-value of ≤0.05 to identify a comprehensive set of differentially transcribed genes found in common in the two conditions. This approach identified 6754 differentially transcribed protein-coding genes in total, of which 1800 were common in both data sets. The merging analyses finally indicated that out of 2339 genes found in this study to be down-regulated upon Imatinib treatment, 900 matched those differentially (up- and down-) regulated upon TRIKI treatment. Out of these 480 were up-regulated and 420 down-regulated by TRIKI. Furthermore, out of 2616 genes found in this study to be up-regulated upon Imatinib treatment, 900 corresponded to those differentially regulated by TRIKI. Out of these 822 were up-regulated and 78 down-regulated by TRIKI. By definition, no gene was found within the intersection of Imatinib up- and down-regulated genes (Figure 6; Supplementary data S13, S14).
Merging analyses represented by a Venn diagram of the intersections of significant differentially transcribed down- or up-regulated genes following Imatinib treatment with those differentially (up- and down-) regulated upon TRIKI treatment [47]. The direction of regulation following Imatinib treatment (down/up) is shown within the header. Given numbers correlate with the numbers of significant differentially transcribed genes for these data sets (see text). The overlapping regions of the circles contain the corresponding differentially transcribed genes in these data sets.
Discussion
Based on our previous results on the physiology and morphology of adult schistosomes treated by Imatinib [38], our present study aimed at identifying transcriptional processes influenced by this inhibitor. To confirm that Imatinib targets not only the Abl kinase SmAbl1 as shown by biochemical analyses before [39], we investigated its inhibitor effect on SmAbl2. SmAbl1 and SmAbl2 are the only true Abl-kinases present within the genome of S. mansoni [50] in contrast to SmTK6 which represents a Src/Abl hybrid kinase being less susceptible to Imatinib [39; this study]. By competitive GVBD assays in Xenopus oocytes expressing these kinases we determined specific effects of Imatinib on both Abl1 and Abl2 kinases. Although their susceptibilities differed by a factor of 10, the results obtained in this and the previous study [39] clearly confirmed their target roles, but also that Src-like and true Src kinases such as SmTK3 are not affected at the Abl-effective concentrations of Imatinib, which reduced the probability of off-target effects. These experimental data were well supported by the modeling and docking data generated confirming that Imatinib is able to bind to both schistosome Abl kinases.
With regard to results of the in vitro study showing increasing physiological and morphological effects between 24 h and 48 h treatment using 50 µM Imatinib [38], we performed transcriptional profiling for these time-points to get a broader view of molecular processes potentially affected by Imatinib. Microarray and subsequent bioinformatics analyses revealed a broad spectrum of genes being differentially regulated following inhibitor treatment. The transcription of genes involved in male-female interaction, gut physiology, muscle activities, and egg production were among those highlighted by the analyses. For qRT-PCR verification a number of genes were selected with regard to GO and IPA results but also to the phenotypes obtained in the preceding in vitro study, which comprised reduced pairing stability (i), reduced sizes of the gonads of both genders combined with disturbed spermatocyte/oocyte differentiation (ii), a degradation of the gastrodermis (iii), and tremor-like movements pointing to altered locomotion activity (iv) [38]. In each case qRT-PCR and microarray results correspondingly showed sustained transcriptional changes and reduced transcript levels in each case for (i) GCP, a fascicle I-like cell adhesion molecule hypothesized to be involved in male-female interaction [72], [83], (ii) VAL-7, a member of the sperm-coating protein SCP/TAPS superfamily [89], [90] that was found in S. mansoni to be expressed in the esophageal gland in larvae, and adult males and females [91], (iii) a hemoglobinase and the cathepsins B and S, of which hemoglobinase and cathepsin B were already shown to be active in the gut [67], [92]–[94], (iv) as well as a metabotropic glutamate receptor. Interestingly, previous studies indicated that Abl kinases regulated lysosome functions, especially autophagy by organizing the localization and activity of lysosomes, glycosidases and cathepsins, suggesting that Abl is involved in processes regulating digestion and removal of self- and foreign material [95], [96]. Metabotropic glutamate receptors have been discussed in the context of seizure-like behavior, defined as paroxysms resulting in disruption of normal locomotor-system activity in planaria [97]. Whether this tremor-like phenotype in schistosomes (iv) is also accompanied by higher transcript levels detected for the muscle protein genes paramyosin and titin, of which the latter determines muscle elasticity, stability, and contraction velocity [98], remains unclear at this stage. In contrast, the up-regulation of the stress protein gene HSP70 following inhibitor treatment meets the expectations as well as higher transcript levels of the ribosomal S6 kinase, a signaling molecule involved in cell growth, proliferation, but also survival [99]. Thus the differential regulation of these genes corresponded well to the phenotypes observed in vitro. Furthermore, a comparison of both time-points used for the analysis (24 h/48 h) showed strong and sustained transcriptional changes by microarrays but also on the basis of qRT-PCRs of selected candidate genes, which indicated an enduring influence of the Abl kinase pathway on these genes.
Compared to transcriptome studies in S. mansoni or S. japonicum after exposure to PZQ in vitro [100], [101] or in vivo [102], a number of differences can be noted that indicate dissimilar processes affected by this established drug and Imatinib. Using a recent in vivo model of S. japonicum PZQ led to an up-regulation among others of genes associated with muscle function, lipid and ion regulation, and drug resistance in treated males [102]. In females, fewer genes seemed to be affected (up-regulated), examples are involved in pathogen defense, general detoxification, drug resistance and calcium regulation [102]. Similar findings were made in in vitro studies with adult S. mansoni showing that genes encoding multiple drug transporter as well as calcium regulation, stress and apoptosis-related proteins were up-regulated [101]. In contrast to these findings we observed a down-regulation of genes coding for lipoproteins, motor and/or muscle proteins, drug efflux proteins, calmodulin and other calcium binding proteins in S. mansoni couples following Imatinib treatment. With respect to apoptosis-related genes the picture is puzzling since there much variation within all PZQ and Imatinib data sets and little correspondence among these different data. This justifies no precise conclusion on the participation of defined apoptosis-related signaling processes in the primary effects on schistosomes caused by these drugs.
Surprisingly, we also identified genes to be up-regulated that contribute to egg formation such as p14, fs800-like, a predicted egg-shell precursor protein gene, and tyrosinase 1, a gene involved in final egg-shell synthesis [79], [81]. This was unexpected since we observed reduced egg production in Imatinib-treated schistosome couples. However, egg production is a complex process and may be influenced by further genes of which some, yet unknown to be important for this process, may be down-regulated by Imatinib, while the known egg-formation genes might be up-regulated to compensate for the overall reduced egg output in Imatinib-treated schistosomes.
Conspicuously, the higher transcript levels of these egg formation-related genes resembled the results obtained in a recent microarray study where the effect of TRIKI, a TGFβRI-kinase inhibitor, was investigated on transcriptional profiles in adult schistosome couples in vitro. TRIKI led to an increase of transcript levels of the same egg formation-related genes in paired females in contrast to Herb A, a Src kinase inhibitor, which reduced the transcript levels of these genes. From this it was concluded that a TGFβ and a Src kinase pathway cooperatively control egg formation processes in a balanced manner in schistosomes assigning repressing (TGFβ/TGFβRI-pathway) and inducing (Src-pathway) tasks [47]. This and the finding of GCP and egg formation-associated genes as common target molecules of TGFβ [82] as well as SmAbl1/2-influenced molecular processes [this study], prompted us to evaluate the TRIKI-related against the Imatinib-related microarray data sets. Comparing the total amounts of differentially transcribed genes about 27% (1800 out of 6754) were present in both data sets, of which about 50% (900 or 900 out of 1800) were differentially regulated and about 70% (420 and 822 out of 1800) in the same direction. Thus many genes significantly differentially transcribed upon TRIKI- and Imatinib treatment overlapped. This clearly indicates a potential association of TGFβRI-mediated and Abl kinase-containing pathways in schistosomes. Beyond the fact that egg formation-associated genes such as fs800-like, p14, egg shell precursor, and tyrosinase 1 [47; this study] as well as GCP became noticeable as common targets, SmAbl1/2 transcripts and TGFβRI-transcripts were found in the same tissues by in situ hybridization, mainly in the gonads [38], [103]. In conclusion, it appears very likely that the schistosome Abl kinase(s) are among other possibilities members of signalling pathways induced by TGFβ. Such a molecular connection has been shown before, demonstrating c-Abl as a Smad-independent component of TGFβ signaling pathways and mediator of TGFβ-driven proliferation in human fibroblasts [87], [104], [105].
Our previous in vitro studies exhibited strong effects of Imatinib on schistosome morphology, physiology and survival in vitro suggesting that this compound may be one of the candidates for the design of alternative strategies to fight schistosomiasis [38], [42], [43]. This was confirmed by an independent approach recently, which reproduced similar phenotypes in vitro, although a first in vivo experiment failed [106]. Nonetheless, the data obtained in this study support the conclusion that Imatinib exerts broad negative effects on worm physiology substantiating the hypothesized role of PKs as potential targets [25], [28], [36], [42], [43]. In this respect it was encouraging to note that according to our microarray analysis also multidrug resistance (MDR) genes (Smp_089200, Smp_151290) were among the significantly down-regulated genes following Imatinib treatment. Thus they may represent additional targets of Abl-kinase-containing pathways. Future studies could also aim at analyzing the molecular networks controlling the expression of such MDR genes and their substrate specificities in more detail. Depending on the substrates transported by these MDRs, and with respect to treatment strategy and efficacy, the suppression of MDR genes as an additional consequence of inhibitor application would represent a potential side effect that is most welcome.
Supporting Information
Data S1.
List of primers used for qRT-PCRs. Smp numbers of the target genes, primer sequences (f = forward, r = reverse), and annealing temperatures (Tm) used are given.
https://doi.org/10.1371/journal.pntd.0002923.s001
(DOCX)
Data S2.
Hierarchical clustering of differentially transcribed genes (q = 0.1%) following Imatinib treatment. Summarized are three biological replicates for each time point analysed (24 h, 1–3; 48 h, 1–3). Genes with repressed transcription (down-regulated) are colored in green, and genes with enhanced transcription (up-regulated) in red.
https://doi.org/10.1371/journal.pntd.0002923.s002
(TIF)
Data S3.
List of all significantly differentially transcribed genes following Imatinib treatments (24 h and 48 h; q = 0.1%) according to the one-class analysis. This list is subdivided in up- and down-regulated genes.
https://doi.org/10.1371/journal.pntd.0002923.s003
(XLSX)
Data S4.
List of selected genes up-regulated after Imatinib treatment (q = 0.1%). Besides the Gene ID number, relative transcript ratios are given for both time-points (24 h and 48 h) as well as annotations and functional categories.
https://doi.org/10.1371/journal.pntd.0002923.s004
(DOCX)
Data S5.
List of selected genes down-regulated after Imatinib treatment (q = 0.1%). Besides the Gene ID number, relative transcript ratios are given for both time-points (24 h and 48 h) as well as annotations and functional categories.
https://doi.org/10.1371/journal.pntd.0002923.s005
(DOCX)
Data S6.
Gene Ontology (GO) categories are listed enriched with significantly differentially transcribed genes (BH adjusted p-value ≤0.05; threshold = 0.1) up-regulated following Imatinib treatment.
https://doi.org/10.1371/journal.pntd.0002923.s006
(XLSX)
Data S7.
Gene Ontology (GO) categories are listed enriched with significantly differentially transcribed genes (BH adjusted p-value ≤0.05; threshold = 0.1) down-regulated following Imatinib treatment.
https://doi.org/10.1371/journal.pntd.0002923.s007
(XLSX)
Data S8.
Summary of the IPA analysis [57] containing lists of networks, biological functions, canonical pathways, and the top molecules being down- and up-regulated based on the relative fold changes of expression.
https://doi.org/10.1371/journal.pntd.0002923.s008
(XLSX)
Data S9.
Summary of the qRT-PCR and microarray analyses which show the sustained effect of Imatinib treatment (24 h or 48 h) on the transcript level of the ribosomal S6-kinase gene. Log2ratios (treated/control) are comparing the results of three independent biological replicates using qRT-PCR (24 h and 48 h, columns 1–3, light gray) with the results of three independent microarray analyses (24 h and 48 h, columns 4–6, dark gray).
https://doi.org/10.1371/journal.pntd.0002923.s009
(TIF)
Data S10.
Summary of the qRT-PCR and microarray analyses which show the sustained effect of Imatinib treatment (24 h or 48 h) on the transcript level of the hemoglobinase gene. Log2ratios (treated/control) are given comparing the results of three independent biological replicates using qRT-PCR (24 h and 48 h, columns 1–3, light gray) with the results of three independent microarray analyses (24 h and 48 h, columns 4–6, dark gray).
https://doi.org/10.1371/journal.pntd.0002923.s010
(TIF)
Data S11.
Summary of the qRT-PCR and microarray analyses which show the sustained effect of Imatinib treatment (24 h or 48 h) on the transcript level of the GCP gene. Log2ratios (treated/control) are given comparing the results of three independent biological replicates using qRT-PCR (24 h and 48 h, columns 1–3, light gray) with the results of three independent microarray analyses (24 h and 48 h, columns 4–6, dark gray).
https://doi.org/10.1371/journal.pntd.0002923.s011
(TIF)
Data S12.
Result of the transcript level of GCP determined by qRT-PCR with RNA from males cultured in vitro, which either have never been paired with a female (1), or were separated from a female for five days (2), or were kept in culture paired with females (3) before they were separated to perform the analysis (n = 3). Actin transcript levels were determined as reference in each case.
https://doi.org/10.1371/journal.pntd.0002923.s012
(TIF)
Data S13.
List of genes identified in the merging analysis to be down-regulated after Imatinib treatment and differentially regulated (up or down) following TRIKI treatment. Besides the Gene ID number, relative transcript ratios are given for both time-points (24 h and 48 h) as well as annotations and functional categories.
https://doi.org/10.1371/journal.pntd.0002923.s013
(XLSX)
Data S14.
List of genes identified in the merging analysis to be up-regulated after Imatinib treatment and differentially regulated (up or down) following TRIKI treatment. Besides the Gene ID number, relative transcript ratios are given for both time-points (24 h and 48 h) as well as annotations and functional categories.
https://doi.org/10.1371/journal.pntd.0002923.s014
(XLSX)
Acknowledgments
We thank Gabriele Lang, Christine Henrich and Christina Scheld for excellent technical assistance and Sophie Parker-Manuel for critical comments on the manuscript. The authors highly appreciate the enormous amount of schistosome genome data provided by The Wellcome Trust Sanger Institute (http://www.sanger.ac.uk).
Author Contributions
Conceived and designed the experiments: CB SB SVA CGG. Performed the experiments: CB SB KCO CD KC RJM PMS. Analyzed the data: CB SB KCO CD KC RJM PMS. Contributed reagents/materials/analysis tools: SVA CD KC RJM PMS. Wrote the paper: CGG SVA CB SB.
References
- 1.
World Health Organization (2013) Schistosomiasis. Fact sheet N° 115. Available: http://www.who.int/mediacentre/factsheets/fs115/en/. Accessed 10 January 2014
- 2. Steinmann P, Keiser J, Bos R, Tanner M, Utzinger J (2006) Schistosomiasis and water resources development: systematic review, meta-analysis, and estimates of people at risk. Lancet Infect Dis 6: 411–425.
- 3. Ross AG, Bartley PB, Sleigh AC, Olds GR, Li Y, et al. (2002) Schistosomiasis. N Engl J Med 346: 1212–1220.
- 4.
Manson-Bahr PEC, Apted FIC (1982), Manson's tropical diseases. 18th edition. Bailliere Tindall, London. 843 p.
- 5.
World Health Organization (2008) World health report 2004 - changing history. Geneva: WHO Library Cataloguing-in-Publication Data.
- 6. King CH, Dickman K, Tisch DJ (2005) Reassessment of the cost of chronic helmintic infection: a meta-analysis of disability-related outcomes in endemic schistosomiasis. Lancet 365: 1561–1569.
- 7. Hatz CFR (2005) Schistosomiasis: an underestimated problem in industrialized countries? J Travel Med 12: 1–2.
- 8. De Bont J, Vercruysse J (1998) Schistosomiasis in cattle. Adv Parasitol 41: 285–364.
- 9. Wu HW, Qin YF, Chu K, Meng R, Liu Y, et al. (2010) High prevalence of Schistosoma japonicum infection in water buffaloes in the Philippines assessed by real-time polymerase chain reaction. Am J Trop Med Hyg 82: 646–652.
- 10. Wang T, Zhang S, Wu W, Zhang G, Lu D, et al. (2006) Treatment and reinfection of water buffaloes and cattle infected with Schistosoma japonicum in Yangtze River Valley, Anhui province, China. J Parasitol 92: 1088–1091.
- 11. King CH (2010) Parasites and poverty: the case of schistosomiasis. Acta Trop 113: 95–104.
- 12. Harder A (2002) Chemotherapeutic approaches to schistosomes: current knowledge and outlook. Parasitol Res 88: 395–397.
- 13. Magnussen P (2003) Treatment and re-treatment strategies for schistosomiasis control in different epidemiological settings: a review of 10 years' experiences. Acta Trop 86: 243–254.
- 14. Fenwick A, Rollinson D, Southgate V (2006) Implementation of human schistosomiasis control: Challenges and prospects. Adv Parasitol 61: 567–622.
- 15. Doenhoff MJ, Cioli D, Utzinger J (2008) Praziquantel: mechanisms of action, resistance and new derivatives for schistosomiasis. Curr Opin Infect Dis 21: 659–67.
- 16. Pica-Mattoccia L, Doenhoff MJ, Valle C, Basso A, Troiani AR, et al. (2009) Genetic analysis of decreased praziquantel sensitivity in a laboratory strain of Schistosoma mansoni. Acta Trop 111: 82–85.
- 17. Ismail M, Botros S, Metwally A, William S, Farghally A, et al. (1990) Resistance to praziquantel: direct evidence from Schistosoma mansoni isolated from Egyptian villagers. Am J Trop Med Hyg 60: 932–935.
- 18. Melman SD, Steinauer ML, Cunningham C, Kubatco LS, Mwangi IN, et al. (2009) Reduced susceptibility to praziquantel among naturally occurring Kenyan isolates of Schistosoma mansoni. PLoS Negl Trop Dis 3(8): 504.
- 19. Kasinathan RS, Greenberg RM (2012) Pharmacology and potential physiological significance of schistosome multidrug resistance transporters. Exp Parasitol 132(1): 2–6.
- 20. Hubbard SR, Till JH (2000) Protein tyrosine kinase structure and function. Ann Rev Biochem 69: 373–398.
- 21.
Li R, Stafford JA (2009) Kinases, Inhibitors, Drugs. Li R, Stafford JA, Eds. Weinheim: Wiley-VCH Verlag GmbH & Co. KGaA. 510 p.
- 22. Gelman IH (2011) Src-family tyrosine kinases as therapeutic targets in advanced cancer. Front Biosci (Elite Ed) 3: 801–817.
- 23. Garuti L, Roberti M, Bottegoni G (2011) Irreversible protein kinase inhibitors. Curr Med Chem 18: 2981–2994.
- 24.
Mezna M, Kontopidis G, McInnes C (2011) In: Klebl, G. Müller and M. Hamacher, Ed. Protein kinases as drug targets. Weinheim: Wiley-VCH Verlag GmbH & Co. KGaA. 365 p.
- 25. Dissous C, Ahier A, Khayath N (2007) Protein tyrosine kinases as new potential targets against human schistosomiasis. Bioessays 29: 1281–1288.
- 26. Knobloch J, Beckmann S, Burmeister C, Quack T, Grevelding CG (2007) Tyrosine kinase and cooperative TGFβ signaling in the reproductive organs of Schistosoma mansoni. Exp Parasitol 117: 318–336.
- 27. LoVerde PT, Andrade LF, Oliveira G (2009) Signal transduction regulates schistosome reproductive biology. Curr Opin Microbiol 12: 422–428.
- 28. Beckmann S, Quack T, Burmeister C, Buro C, Long T, et al. (2010) Schistosoma mansoni: signal transduction processes during the development of the reproductive organs. Parasitology 137: 497–520.
- 29. You H, Gobert GN, Jones MK, Zhang W, McManus DP (2011) Signalling pathways and the host-parasite relationship: putative targets for control interventions against schistosomiasis: signalling pathways and future anti-schistosome therapies. Bioessays 33(3): 203–14. Erratum in: Bioessays 33(7): 556.
- 30. Ahier A, Khayath N, Vicogne J, Dissous C (2008) Insulin receptors and glucose uptake in the human parasite Schistosoma mansoni. Parasite 15: 573–579.
- 31. Long T, Cailliau K, Beckmann S, Browaeys E, Trolet J, et al. (2010) Schistosoma mansoni Polo-like kinase 1: A mitotic kinase with key functions in parasite reproduction. Int J Parasitol 40: 1075–1086.
- 32. Swierczewski BE, Davies SJ (2009) A schistosome cAMP-dependent protein kinase catalytic subunit is essential for parasite viability. PLoS Negl Trop Dis 3(8): e505.
- 33. Swierczewski BE, Davies SJ (2010) Developmental regulation of protein kinase A expression and activity in Schistosoma mansoni. Int J Parasitol 40: 929–935.
- 34. Leutner S, Beckmann S, Grevelding CG (2011) Characterization of the cGMP-dependent protein kinase SmcGK1 of Schistosoma mansoni. An Acad Bras Cienc 83: 637–648.
- 35. You H, Zhang W, Jones MK, Gobert GN, Mulvenna J, et al. (2010) Cloning and characterisation of Schistosoma japonicum insulin receptors. PLoS One 5(3): e9868.
- 36. Beckmann S, Buro C, Dissous C, Hirzmann J, Grevelding CG (2010) The Syk kinase SmTK4 of Schistosoma mansoni is involved in the regulation of spermatogenesis and oogenesis. PLoS Pathog 6(2): e1000769.
- 37. Vanderstraete M, Gouignard N, Cailliau K, Morel M, Lancelot J, et al. (2013) Dual targeting of insulin and venus kinase receptors of Schistosoma mansoni for novel anti-schistosome therapy. PLoS Negl Trop Dis 7(5): e2226.
- 38. Beckmann S, Grevelding CG (2010) Imatinib makes a fatal impact on morphology, pairing stability, and survival of adult S. mansoni in vitro. Int J Parasitol 40: 521–526.
- 39. Beckmann S, Hahnel S, Cailliau K, Vanderstraete M, Browaeys E, et al. (2011) Characterization of the Src/Abl hybrid kinase SmTK6 of Schistosoma mansoni. J Biol Chem 286: 42325–42336.
- 40. Larson RA, Druker BJ, Guilhot F, O'Brien SG, Riviere GJ, et al. (2008) Imatinib pharmacokinetics and its correlation with response and safety in chronic-phase chronic myeloid leukemia: a subanalysis of the IRIS study. Blood 111: 4022–4028.
- 41. Nagar B, Bornmann WG, Pellicena P, Schindler T, Veach DR, et al. (2002) Crystal structures of the kinase domain of c-Abl in complex with the small molecule inhibitor PDI173955 and Imatinib (STI-571). Cancer Res 62: 4236–4243.
- 42. Beckmann S, Leutner S, Gouignard N, Dissous C, Grevelding CG (2012) Protein kinases as potential targets for novel anti-schistosomal strategies. Curr Pharm Des 18: 3579–3594.
- 43. Dissous C, Grevelding CG (2011) Piggy-Backing cancer drugs for schistosomiasis treatment, a tangible perspective? Trends Parasitol 27: 59–66.
- 44. Grevelding CG (1995) The female-specific W1 sequence of the Puerto Rican strain of Schistosoma mansoni occurs in both genders of a Liberian strain. Mol Biochem Parasitol 71: 269–272.
- 45. Sadler SE, Maller JL (1983) The development of competence for meiotic maturation during oogenesis in Xenopus laevis. Dev Biol 98: 165–172.
- 46. Verjovski-Almeida S, Venancio TM, Oliveira KC, Almeida GT, DeMarco R (2007) Use of a 44k oligoarray to explore the transcriptome of Schistosoma mansoni adult worms. Exp Parasiol 117: 236–245.
- 47. Buro C, Oliveira KC, Lu Z, Leutner S, Beckmann S, et al. (2013) Transcriptome analyses of inhibitor-treated schistosome females provide evidence for cooperating Src-kinase and TGFβ receptor pathways controlling mitosis and eggshell formation. PLoS Pathog 9(6): e1003448.
- 48. Quackenbush J (2002) Microarray data normalization and transformation. Nature Genet 32(Suppl): 496–501.
- 49. Oliveira KC, Carvalho ML, Maracaja-Coutinho V, Kitajima JP, Verjovski-Almeida S (2011) Non-coding RNAs in schistosomes: an unexplored world. An Acad Bras Cienc 83: 673–694.
- 50. Protasio AV, Tsai IJ, Babbage A, Nichol S, Hunt M, et al. (2012) A systematically improved high quality genome and transcriptome of the human blood fluke Schistosoma mansoni. PLoS Negl Trop Dis 6: e1455.
- 51. Tusher VG, Tibshirani R, Chu G (2001) Significance analysis of microarrays applied to the ionizing radiation response. Proc Nat Acad Sci USA 98: 5116–5121.
- 52.
Kaushal D, Naeve CW (2004) Analyzing and visualizing expression data with Spotfire. Curr Prot Bioinformatics 2004; Chapter 7, Unit 7.9. doi: 10.1002/0471250953.bi0709s7
- 53. Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, et al. (2000) Gene ontology: tool for the unification of biology; The Gene Ontology Consortium. Nature Genet 25: 25–29.
- 54. Robinson PN, Wollstein A, Böhme U, Beattie B (2004) Ontologizing gene-expression microarray data: characterizing clusters with Gene Ontology. Bioinformatics 20: 979–981.
- 55. Grossmann S, Bauer S, Robinson PN, Vingron M (2007) Improved detection of overrepresentation of Gene-Ontology annotations with parent child analysis. Bioinformatics 23: 3024–3031.
- 56. Benjamini Y, Drai D, Elmer G, Kafkafi N, Golani I (2001) Controlling the false discovery rate in behavior genetics research. Behav Brain Res 125: 279–284.
- 57. Thomas S, Bonchev D (2010) A survey of current software for network analysis in molecular biology. Human Gen 4: 353–360.
- 58.
Myers JL, Well AD (2003)Research Design and Statistical Analysis (2nd ed). Lawrence Erlbaum Associates. 749 p.
- 59.
Dorak MT (2008) Real-time PCR. Taylor & Francis, pp. 58–62.
- 60. Yun JJ, Heisler LE, Hwang II, Wilkins O, Lau SK, et al. (2006) Genomic DNA functions as a universal external standard in quantitative real-time PCR. Nucl Acids Res 34: e85. Erratum in: Nucl Acids Res 34: 6718.
- 61.
Sokal RR, Rohlf FJ (1994) Biometry: The principles and practice of statistics in biological research. 3rd edition. W.H. Freeman, New York. 880p.
- 62. Wu AW, Gu J, Li ZF, Ji JF, Xu GW (2004) COX-2 expression and tumor angiogenesis in colorectal cancer. World J Gastroent 10: 2323–2326.
- 63.
Zerlotini A, Heiges M, Wang H, Moraes RL, Dominitini AJ, et al.. (2009) SchistoDB: a Schistosoma mansoni genome resource. Nucleic Acids Res. 37(Database issue): D579–582. Available: http://schistocyc.schistodb.net.
- 64. Grassi F, Moretto N, Rivetti C, Cellai S, Betti M, et al. (2006) Structural and functional properties of lengsin, a pseudo-glutamine synthetase in the transparent human lens. Biochem Biophys Res Commun 350(2): 424–429.
- 65. Vasiljeva O, Reinheckel T, Peters C, Turk D, Turk V, et al. (2007) Emerging roles of cysteine cathepsins in disease and their potential as drug targets. Curr Pharm Des 13(4): 387–403.
- 66. Pietschmann P, Foger-Samwald U, Sipos W, Rauner M (2013) The role of cathepsins in osteoimmunology. Crit Rev Eukaryot Gene Expr 23(1): 11–26.
- 67. Sajid M, McKerrow JH, Hansell E, Mathieu MA, Lucas KD, et al. (2003) Functional expression and characterization of Schistosoma mansoni cathepsin B and its trans-activation by an endogenous asparaginyl endopeptidase. Mol Biochem Parasitol 131(1): 65–75.
- 68. el Meanawy MA, Aji T, Phillips NF, Davis RE, Salata RA, et al. (1990) Definition of the complete Schistosoma mansoni hemoglobinase mRNA sequence and gene expression in developing parasites. Am J Trop Med Hyg 43(1): 67–78.
- 69. Chalmers IW, Hoffmann KF (2012) Platyhelminth Venom Allergen-Like (VAL) proteins: revealing structural diversity, class-specific features and biological associations across the phylum. Parasitology 139(10): 1231–1245.
- 70. Zamanian M, Kimber MJ, McVeigh P, Carlson SA, Maule AG, et al. (2011) The repertoire of G protein-coupled receptors in the human parasite Schistosoma mansoni and the model organism Schmidtea mediterranea. BMC Genomics 12: 596.
- 71. Taman A, Ribeiro P (2011) Glutamate-mediated signaling in Schistosoma mansoni: a novel glutamate receptor is expressed in neurons and the female reproductive tract. Mol Biochem Parasitol 176(1): 42–50.
- 72. Cheng G, Fu Z, Lin J, Shi Y, Zhou Y, et al. (2009) In vitro and in vivo evaluation of small interference RNA-mediated gynaecophoral canal protein silencing in Schistosoma japonicum. J Gene Med 11(5): 412–421.
- 73. Gobert GN, McManus DP (2005) Update on paramyosin in parasitic worms. Parasitol Int 54(2): 101–107.
- 74. Labeit S, Kolmerer B (1995) "Titins: giant proteins in charge of muscle ultrastructure and elasticity". Science 270 (5234): 293–296.
- 75. Frödin M, Gammeltoft S (1999) Role and regulation of 90 kDa ribosomal S6 kinase (RSK) in signal transduction. Mol Cell Endocrinol 151(1–2): 65–77.
- 76. Moens U, Kostenko S (2013) Structure and function of MK5/PRAK: the loner among the mitogen-activated protein kinase-activated protein kinases. Biol Chem 394(9): 1115–1132.
- 77. Nollen EA, Morimoto RI (2002) Chaperoning signaling pathways: molecular chaperones as stress-sensing 'heat shock' proteins. J Cell Sci (Pt 14): 2809–2816.
- 78. Aragon AD, Imani RA, Blackburn VR, Cunningham C (2008) Microarray based analysis of temperature and oxidative stress induced messenger RNA in Schistosoma mansoni. Mol Biochem Parasitol 162(2): 134–141.
- 79. deWalick S, Bexkens ML, van Balkom BW, Wu YP, Smit CH, et al. (2011) The proteome of the insoluble Schistosoma mansoni eggshell skeleton. Int J Parasitol 41(5): 523–532.
- 80. Köster B, Dargatz H, Schröder J, Hirzmann J, Haarmann C, et al. (1988) Identification and localisation of the products of a putative eggshell precursor gene in the vitellarium of Schistosoma mansoni. Mol Biochem Parasitol 31: 183–198.
- 81. Fitzpatrick JM, Hirai Y, Hirai H, Hoffman KF (2007) Schistosome egg production is dependent upon the activities of two developmentally regulated tyrosinases. FASEB J 21: 823–835.
- 82. Osman A, Niles EG, Verjovski-Almeida S, LoVerde PT (2006) Schistosoma mansoni TGF-beta receptor II: role in host ligand-induced regulation of a schistosome target gene. PLoS Pathog 2: e54.
- 83. Bostic JR, Strand M (1996) Molecular cloning of a Schistosoma mansoni protein expressed in the gynecophoral canal of male worms. Mol Biochem Parasitol 79(1): 79–89.
- 84. Leutner S, Oliveira KC, Rotter B, Beckmann S, Buro C, et al. (2013) Combinatory microarray and SuperSAGE analyses identify pairing-dependently transcribed genes in Schistosoma mansoni males, including follistatin. PLoS Negl Trop Dis 7(11): e2532.
- 85. Freitas TC, Jung E, Pearce EJ (2007) TGF-beta signaling controls embryo development in the parasitic flatworm Schistosoma mansoni. PLoS Pathog 3(4): e52.
- 86. Oliveira KC, Carvalho ML, Verjovski-Almeida S, LoVerde PT (2012) Effect of human TGF-β on the gene expression profile of Schistosoma mansoni adult worms. Mol Biochem Parasitol 183(2): 132–139.
- 87. Daniels CE, Wilkes MC, Edens M, Kottom TJ, Murphy SJ, et al. (2004) Imatinib mesylate inhibits the profibrogenic activity of TGF-beta and prevents bleomycin-mediated lung fibrosis. J Clin Invest 114(9): 1308–1316.
- 88. Wilkes MC, Leof EB (2006) Transforming growth factor beta activation of c-Abl is independent of receptor internalization and regulated by phosphatidylinositol 3-kinase and PAK2 in mesenchymal cultures. J Biol Chem 281(38): 27846–27854.
- 89. Chalmers IW, McArdle AJ, Coulson RM, Wagner MA, Schmid R, et al. (2008) Developmentally regulated expression, alternative splicing and distinct sub-groupings in members of the Schistosoma mansoni venom allergen-like (SmVAL) gene family. BMC Genomics 9: 89.
- 90. Kovalick GE, Griffin DL (2005) Characterization of the SCP/TAPS gene family in Drosophila melanogaster. Insect Biochem Mol Biol 35(8): 825–835.
- 91. Rofatto HK, Parker-Manuel SJ, Barbosa TC, Tararam CA, Wilson AR, et al. (2012) Tissue expression patterns of Schistosoma mansoni Venom Allergen-Like proteins 6 and 7. Int J Parasitol 42(7): 613–620.
- 92. el Meanawy MA, Aji T, Phillips NF, Davis RE, Salata RA, et al. (1990) Definition of the complete Schistosoma mansoni hemoglobinase mRNA sequence and gene expression in developing parasites. Am J Trop Med Hyg 43(1): 67–78.
- 93. Caffrey CR, McKerrow JH, Salter JP, Sajid M (2005) Blood 'n' guts: an update on schistosome digestive peptidases. Trends Parasitol 20(5): 241–248.
- 94. Kasný M, Mikes L, Hampl V, Dvorák J, Caffrey CR, et al. (2009) Peptidases of trematodes. Adv Parasitol 69: 205–297.
- 95. Yogalingam G, Pendergast AM (2008) Abl kinases regulate autophagy by promoting the trafficking and function of lysosomal components. J Biol Chem 283: 35941–35953.
- 96. Ertmer A, Huber V, Gilch S, Yoshimori T, Erfle V, et al. (2007) The anticancer drug imatinib induces cellular autophagy. Leukemia 21: 936–942.
- 97. Raffa RB, Finno KE, Tallarida CS, Rawls SM (2010) Topiramate-antagonism of L-glutamate-induced paroxysms in planarians. Eur J Pharmacol 649(1–3): 150–153.
- 98. Benian GM, Ayme-Southgate A, Tinley TL (1999) The genetics and molecular biology of the titin/connectin-like proteins of invertebrates. Rev Physiol Biochem Pharmacol 138: 235–268.
- 99. Fenton TR, Gout IT (2011) Functions and regulation of the 70 kDa ribosomal S6 kinases. Int J Biochem Cell Biol 43(1): 47–59.
- 100. Aragon AD, Imani RA, Blackburn VR, Cupit PM, Melman SD, et al. (2009) Towards an understanding of the mechanism of action of praziquantel. Mol Biochem Parasitol 164(1): 57–65.
- 101. Hines-Kay J, Cupit PM, Sanchez MC, Rosenberg GH, Hanelt B, et al. (2012) Transcriptional analysis of Schistosoma mansoni treated with praziquantel in vitro. Mol Biochem Parasitol 186(2): 87–94.
- 102. You H, McManus DP, Hu W, Smout MJ, Brindley PJ, et al. (2013) Transcriptional responses of in vivo praziquantel exposure in schistosomes identifies a functional role for calcium signalling pathway member CamKII. PLoS Pathog 9(3): e1003254.
- 103. Knobloch J, Rossi A, Osman A, LoVerde P Klinkert MQ, et al. (2004) Cytological and biochemical evidence for a gonad-preferential interplay of SmFKBP12 and SmTβR-I in Schistosoma mansoni. Mol Biochem Parasitol 138: 227–236.
- 104. Bhattacharyya S, Ishida W, Wu M, Wilkes M, Mori Y, et al. (2009) A non-Smad mechanism of fibroblast activation by transforming growth factor-beta via c-Abl and Egr-1: selective modulation by imatinib mesylate. Oncogene 28(10): 1285–1297.
- 105. Hong M, Wilkes MC, Penheiter SG, Gupta SK, Edens M, et al. (2011) Non-Smad transforming growth factor-β signaling regulated by focal adhesion kinase binding the p85 subunit of phosphatidylinositol 3-kinase. J Biol Chem 286(20): 17841–17850.
- 106. Katz N, Couto FF, Araújo N (2013) Imatinib activity on Schistosoma mansoni. Mem Inst Oswaldo Cruz 108(7): 850–853.