Biomphalaria glabrata transcriptome: cDNA microarray profiling identifies resistant- and susceptible-specific gene expression in haemocytes from snail strains exposed to Schistosoma mansoni
© Lockyer et al; licensee BioMed Central Ltd. 2008
Received: 21 August 2008
Accepted: 29 December 2008
Published: 29 December 2008
Biomphalaria glabrata is an intermediate snail host for Schistosoma mansoni, one of the important schistosomes infecting man. B. glabrata/S. mansoni provides a useful model system for investigating the intimate interactions between host and parasite. Examining differential gene expression between S. mansoni-exposed schistosome-resistant and susceptible snail lines will identify genes and pathways that may be involved in snail defences.
We have developed a 2053 element cDNA microarray for B. glabrata containing clones from ORESTES (Open Reading frame ESTs) libraries, suppression subtractive hybridization (SSH) libraries and clones identified in previous expression studies. Snail haemocyte RNA, extracted from parasite-challenged resistant and susceptible snails, 2 to 24 h post-exposure to S. mansoni, was hybridized to the custom made cDNA microarray and 98 differentially expressed genes or gene clusters were identified, 94 resistant-associated and 4 susceptible-associated. Quantitative PCR analysis verified the cDNA microarray results for representative transcripts. Differentially expressed genes were annotated and clustered using gene ontology (GO) terminology and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analysis. 61% of the identified differentially expressed genes have no known function including the 4 susceptible strain-specific transcripts. Resistant strain-specific expression of genes implicated in innate immunity of invertebrates was identified, including hydrolytic enzymes such as cathepsin L, a cysteine proteinase involved in lysis of phagocytosed particles; metabolic enzymes such as ornithine decarboxylase, the rate-limiting enzyme in the production of polyamines, important in inflammation and infection processes, as well as scavenging damaging free radicals produced during production of reactive oxygen species; stress response genes such as HSP70; proteins involved in signalling, such as importin 7 and copine 1, cytoplasmic intermediate filament (IF) protein and transcription enzymes such as elongation factor 1α and EF-2.
Production of the first cDNA microarray for profiling gene expression in B. glabrata provides a foundation for expanding our understanding of pathways and genes involved in the snail internal defence system (IDS). We demonstrate resistant strain-specific expression of genes potentially associated with the snail IDS, ranging from signalling and inflammation responses through to lysis of proteinacous products (encapsulated sporocysts or phagocytosed parasite components) and processing/degradation of these targeted products by ubiquitination.
Schistosomiasis, the most widespread trematode infection, is estimated to infect around 200 million people in 75 countries of the developing world, leading to chronic debilitating disease and up to 200 000 deaths per year . The freshwater snail Biomphalaria glabrata is an intermediate host for Schistosoma mansoni, a digenean parasite that causes human intestinal schistosomiasis. This medically relevant gastropod is a member of one of the largest invertebrate phyla, the Mollusca, which are lophotrochozoans, a lineage of animal evolution distinct from ecdysoans, represented by present model invertebrates such as Caenorhabditis and Drosophila. Many of the genomic studies in molluscs have focussed on bivalves owing to the importance of these organisms in aquaculture and fisheries and to their role in marine environmental science [2, 3], while in gastropods, expressed sequence tag (EST) studies have been carried out in Lymnaea stagnalis  and B. glabrata [5–7]. Characterizing genes and biochemical pathways central to immunity and defence in gastropods is predicted to reveal innovative data, significant due to the medical and economic importance of intermediate host snails in parasite transmission, and B. glabrata is poised to become the next invertebrate model organism. Indeed, advances towards the ultimate goal of obtaining the B. glabrata genome sequence  include the complete mitochondrial genome , the development of a BAC library for genome sequencing  and complementary gene discovery projects [5–7]. Interactions between snails and schistosomes are complex and there exists an urgent need to elucidate pathways involved in snail-parasite relationships as well as to identify those factors involved in the intricate balance between the snail internal defence system (IDS) and trematode infectivity mechanisms that determine the success or failure of an infection [for a review see ].
Molluscs appear to lack an adaptive immune system like that found in vertebrates and, instead, are considered to use various innate mechanisms involving cell-mediated and humoral reactions (non-cellular factors in plasma/serum or haemolymph) that interact to recognize and eliminate invading pathogens or parasites in incompatible or resistant snails [for reviews see [12–14]]. However, a diverse family of fibrinogen related proteins (FREPs) containing immunoglobulin-like domains has been discovered in B. glabrata and may play a role in snail defence . Circulating haemocytes (macrophage-like defence cells) in the snail haemolymph are known to aggregate in response to trauma, phagocytose small particles (bacteria, and fungi) and encapsulate larger ones, such as parasites. Final killing is effected by haemocyte-mediated cytotoxicity mechanisms involving non-oxidative and oxidative pathways, including lysosomal enzymes and reactive oxygen/nitrogen intermediates [16, 17]. Certain alleles of cytosolic copper/zinc superoxide dismutase (SOD1) have been associated with resistance [18, 19] also suggesting these processes are important in the snail IDS.
Compatible snail-trematode infections may reflect the parasite's capacity to avoid or interfere with the innate response of the snail. The term 'resistant' can be applied to those individuals within a single snail species that are able to evade infection by a species or strain of schistosome that is normally capable of parasitizing that species of snail. Identification of specific molecules mediating the defensive events in snail intermediate hosts, in particular those differentially expressed in resistant/incompatible snails, is expected to reveal much about the pathways and processes involved. Previous studies of differential gene expression in resistant and susceptible snail lines have used a number of different techniques including differential display [20–25] and suppression subtractive hybridization (SSH) [26, 27] to identify in each case, some differentially expressed genes. The application of cDNA microarray technology allows large-scale analysis of differential gene expression, using large numbers of sequenced cDNA clones, which will enable a more detailed examination of the B. glabrata transcriptome. This paper describes the construction of the first B. glabrata microarray using previously sequenced ORESTES clones  as well as new sequences from SSH libraries enriched for differentially expressed genes, and demonstrates its use in detecting differentially expressed transcripts in the haemocytes of parasite-challenged resistant and susceptible snail lines, with the aim of identifying strain-specific transcripts potentially involved in snail internal defence.
Sequence analysis of SSH and ORESTES clones for microarray fabrication
Blast results summary.
Unknown (no BLAST match)
Expression profiling by microarray analysis
The microarray was used for a direct comparison of mRNA from haemocytes of parasite-exposed resistant and susceptible snails. Haemocytes sampled over the first 24 h post parasite exposure were compared to investigate differences between snail lines after parasite exposure during the period when the haemocytes are thought to respond and encapsulate the parasite in resistant snails . This approach was designed to identify large and significant differences in gene expression between the two snail lines, although small, transient RNA expression changes might not be identified. Since very small amounts of RNA were available from the haemocytes, independent SMART amplifications  and labelling reactions were carried out and four technical replicate hybridizations performed. SMART amplification has been shown to have a higher true-positive rate than global amplification, but has a lower absolute discovery rate, and a systematic compression of observed expression ratio .
Analysis of duplicate spots on each array showed good correlation of normalized mean pixel intensity ratios (correlation coefficients 0.9577–0.9889) demonstrating that the hybridizations were consistent within each array (results not shown). The data were screened to remove weak signals below the level of background hybridization in both channels based on negative control vector levels of hybridization. Comparisons were made between technical replicate arrays, of mean (from duplicate features) normalized mean pixel intensity ratios obtained for each clone, using the data that passed the filtering and background (vector) threshold (see Additional file 2). Correlation coefficients for each array comparison were high, ranging from 0.8452 to 0.9604, showing good agreement in gene expression values between array hybridizations, suggesting that SMART amplification of the cDNA was not affecting representation of transcripts. The amplified cDNA demonstrated a good degree of hybridization reproducibility and a low level of variation between technical replicates, giving confidence to the assignment of differentially expressed strain-associated transcripts.
Differentially expressed genes.
dbEST Ac No
Ornithine decarboxylase 1
Multidrug resistance transporter-like protein
Crooked neck-like 1 protein
NADH ubiquinone oxidoreductase
Cytoplasmic intermediate filament protein
NHL domain containing protein
Importin 7; RAN-binding protein 7
Myosin light chain kinase smooth
Fumarylacetoacetate hydrolase-related protein
Ubiquitin-conjugating enzyme E2D 2
Serine 2 transmembrane protease
70 kDa heat shock protein3
M-phase phosphoprotein 1
Cathepsin L-like protease precursor
Elongation factor 27
Elongation factor 1-alpha
Heat shock protein 703
Ribosomal protein Rps2
Streptavidin V2 precursor
Cytochrome oxidase subunit I
Oligomycin sensitivity conferring protein
Cytochrome Oxidase subunit Vb
Cytochrome c1 precursor
Annotation of identified sequences
KEGG pathways identified by differentially expressed genes.
01110 Carbohydrate Metabolism
00020 Citrate cycle (TCA cycle) [PATH:ko00020]
K00026 E22.214.171.124B, mdh; malate dehydrogenase [EC:126.96.36.199]
00620 Pyruvate metabolism [PATH:ko00620]
K00026 E188.8.131.52B, mdh; malate dehydrogenase [EC:184.108.40.206]
00630 Glyoxylate and dicarboxylate metabolism [PATH:ko00630]
K00026 E220.127.116.11B, mdh; malate dehydrogenase [EC:18.104.22.168]
01120 Energy Metabolism
00190 Oxidative phosphorylation [PATH:ko00190]
K03942 NDUFV1; NADH dehydrogenase (ubiquinone) flavoprotein 1 [EC:22.214.171.124 126.96.36.199]
K00412 CYTB; ubiquinol-cytochrome c reductase cytochrome b subunit [EC:188.8.131.52]
K00413 CYT1; ubiquinol-cytochrome c reductase cytochrome c1 subunit [EC:184.108.40.206]
K02256 COX1; cytochrome c oxidase subunit I [EC:220.127.116.11]
K02265 COX5B; cytochrome c oxidase subunit Vb [EC:18.104.22.168]
K02137 ATPeF1O, ATP5O; F-type H+-transporting ATPase oligomycin sensitivity conferral protein [EC:22.214.171.124]
01150 Amino Acid Metabolism
00271 Methionine metabolism [PATH:ko00271]
K01251 E126.96.36.199, ahcY; adenosylhomocysteinase [EC:188.8.131.52]
00330 Arginine and proline metabolism [PATH:ko00330]
K01881 E184.108.40.206, proS; prolyl-tRNA synthetase [EC:220.127.116.11]
K01581 E18.104.22.168, speF; ornithine decarboxylase [EC:22.214.171.124]
00340 Histidine metabolism [PATH:ko00340]
K01892 E126.96.36.199S, hisS; histidyl-tRNA synthetase [EC:188.8.131.52]
00350 Tyrosine metabolism [PATH:ko00350]
K01555 E184.108.40.206, FAH; fumarylacetoacetase [EC:220.127.116.11]
00400 Phenylalanine, tyrosine and tryptophan biosynthesis [PATH:ko00400]
K01866 E18.104.22.168, tyrS; tyrosyl-tRNA synthetase [EC:22.214.171.124]
00220 Urea cycle and metabolism of amino groups [PATH:ko00220]
K01581 E126.96.36.199, speF; ornithine decarboxylase [EC:188.8.131.52]
01160 Metabolism of Other Amino Acids
00450 Selenoamino acid metabolism [PATH:ko00450]
K01251 E184.108.40.206, ahcY; adenosylhomocysteinase [EC:220.127.116.11]
01196 Xenobiotics Biodegradation and Metabolism
00643 Styrene degradation [PATH:ko00643]
K01555 E18.104.22.168, FAH; fumarylacetoacetase [EC:22.214.171.124]
01200 Genetic Information Processing
03010 Ribosome [PATH:ko03010]
K02981 RP-S2e, RPS2; small subunit ribosomal protein S2e
K02977 RP-S27Ae, RPS27A; small subunit ribosomal protein S27Ae
00970 Aminoacyl-tRNA biosynthesis [PATH:ko00970]
K01866 E126.96.36.199, tyrS; tyrosyl-tRNA synthetase [EC:188.8.131.52]
K01881 E184.108.40.206, proS; prolyl-tRNA synthetase [EC:220.127.116.11]
K01892 E18.104.22.168S, hisS; histidyl-tRNA synthetase [EC:22.214.171.124]
K04043 DNAK; molecular chaperone DnaK (Hsp70)
01230 Folding, Sorting and Degradation
04120 Ubiquitin mediated proteolysis [PATH:ko04120]
K06689 UBE2D_E, UBC4, UBC5; ubiquitin-conjugating enzyme UBE2D/E [EC:126.96.36.199]
01300 Environmental Information Processing
01310 Membrane Transport
02010 ABC transporters [PATH:ko02010]
K05660 ABCB5; ATP-binding cassette, subfamily B (MDR/TAP), member 5
K04043 DNAK; molecular chaperone DnaK (Hsp70)
01400 Cellular Processes
01460 Immune System
04612 Antigen processing and presentation [PATH:ko04612]
K01365 E188.8.131.52, CTSL; cathepsin L [EC:184.108.40.206]
K01346 pancreatic elastase II
K03231 elongation factor EF-1 alpha subunit
K03234 elongation factor EF-2
K08884 serine/threonine protein kinase
K09054 activating transcription factor 6
A B. glabrata cDNA microarray was successfully constructed consisting of 2053 clones from headfoot, ovotestis, haemopoeitic organ and haemoctyes of two different strains of B. glabrata. Screening the array with RNA from haemocytes of schistosome-exposed resistant and susceptible snail strains identified 98 differentially expressed genes or gene clusters. There was little difference between technical replicates indicating that there were no sampling effects from amplifying small amounts of starting RNA, giving confidence in the assignment of strain-associated differential expression. Examination of the expression of 9 selected genes using real-time RT-PCR on unamplified cDNA confirmed differential expression in each case.
Most of the genes identified (95.9%) were present only in the resistant snail line. That only a few differentially expressed genes were identified in susceptible snails may be due to the failure of the snail's defence system to recognize the parasite, possibly because S. mansoni sporocyts may mimic snail moieties (molecular mimicry) or because they may rapidly acquire molecules from the host with which to disguise themselves . Alternatively, S. mansoni sporocysts may actively suppress a humoral response in susceptible hosts. In either case the transcripts identified in the resistant snails are genes, either constitutively over-expressed in resistant snails, not suppressed in resistant snails, or activated when the snail does recognize the parasite's presence and responds. Of the 4 genes, or gene clusters, identified in susceptible snails, two (DY523263 and cluster 4: DY523267/EW997405) had been previously identified and confirmed as differentially expressed in our earlier experiments  suggesting that they are consistently differentially expressed by susceptible snails. Since none has a known function it is difficult to speculate on their possible role(s).
Over half (63.8%) of the genes identified with higher expression levels in the resistant snails have no known function. Although many of these may play a significant role in defence, further characterization of their function is required to ascertain what that role might be in the snail IDS. Of the ESTs with homology to known genes, the observed differential expression of genes involved in energy metabolism, in particular oxidative phosphorylation, amino acid metabolism and genetic translation, indicates a general increase in cellular activity, consistent with generating the necessary components for mounting a defensive response. For example, EF-1α (EW997053) and EF-2 (EW997067/EW997555 in cluster 7), as well as several other proteins involved in protein synthesis, were identified, including crooked neck-like 1 protein (CK656728) involved in pre mRNA splicing. Differential expression of these types of transcripts suggests an increase in general cell activity, with increased production of new proteins in response to infection in the resistant compared to the susceptible line.
Two paralogous ornithine decarboxylase (EC 220.127.116.11) ODC1 gene fragments (EW996975 and EW996976) were identified as differentially expressed in resistant snails. ODC is the first and rate-limiting enzyme in the polyamine biosynthesis pathway, which decarboxylates L-ornithine (a product of arginase activity) to form putrescine. Polyamines (putrescine, spermidine and spermine) regulate gene expression, modulate cell signalling and are required for normal cell proliferation, important in inflammatory and infection processes . Polyamines have been described as primordial stress molecules with defensive functions against diverse stresses , including protecting cells from DNA strand breakage induced by reactive oxygen species (ROS) and functioning directly as free radical scavengers [36, 37]. Generation of ROS has been shown to play a role in sporocyst killing by molluscan haemocytes in incompatible snail-trematode systems [38, 39]. Production of polyamines could protect the resistant snail's own cells from the damaging effects of ROS.
The identification of ODC in resistant snails may also imply activation of arginine metabolic pathways, which play an important role in inflammation and wound healing [40, 41]. Increased levels of ODC in resistant snails indicate production of the substrate L-ornithine, inferring the depletion of L-arginine by arginase activity and subsequent inhibition of nitric oxide (NO) preventing damage to host cells. L-arginine (L-arg) is the substrate for both arginase (produces L-ornithine and urea) and nitric oxide synthase (NOS) (produces L-citrulline and NO). In inflammatory diseases, it is thought that NO production from L-arg is involved in the initial early host response creating an overall cytotoxic environment, whilst L-ornithine production from L-arg is involved in healing, promoting cell growth and proliferation [42, 43]. In its role as host defender, NO regulates inflammatory responses and acts as an effector molecule of haemocyte cytotoxicity against invaders (such as parasites), whilst at the same time when produced in excessive amounts, NO is cytotoxic not only to the invading schistosome but also to the snail hosts own cells. Hence, infected snail hosts must strive to find a balance between anti-schistosome and cytotoxic effects of NO towards its own cells. NO has been shown to mediate host-protective responses in a variety of parasitic infections  including the killing of S. mansoni sporocysts by haemocytes from resistant B. glabrata . Differential expression of ODC in resistant snails may suggest an involvement in snail defence by scavenging the damaging free radicals produced during the production of ROS by haemocytes for cytotoxic killing of sporocysts; in regulating production of cytotoxic NO by depleting the competing substrate; or, with the production of polyamines leading to DNA protection and cell proliferation, aiding wound healing following miracidial penetration.
Also identified as differentially expressed in the resistant snail line, HSP70 (CK656737/CK656707 in cluster 3) was previously identified, using differential display, as upregulated only in the resistant snails after parasite exposure , verifying our original suggestion that upregulation of HSP70 is an expected response to infection, and is absent from the susceptible snails. The induction of heat shock or stress proteins represents a homeostatic defence mechanism of cells to metabolic and environmental insults, and this response has previously been demonstrated in molluscs, for example in oyster haemocytes in response to environmental stimulus . Experiments with mollusc haemocytes derived from Crassostrea gigas and Haliotis tuberculata demonstrated that the HSP70 gene promoter is induced by noradrenaline and α-adrenergic stimulations  showing that the response in these cells is integrated with neuroendocrine signalling pathways.
Several proteins potentially involved in cell signalling were also identified in the resistant snails only. One transcript (CK149228) was found to be homologous to titin (sometimes known as connectin), which is a giant springlike protein responsible for passive tension generation and for positioning of the thick filament at the centre of vertebrate striated muscle sacromeres. This protein has multiple elastic and signalling functions derived from a complex subdomain structure, including a series of immunoglobulin (Ig) domains. The kinase domain of titin initiates a signal transduction cascade that controls sarcomere assembly, protein turnover, and transcriptional control in response to mechanical changes in vertebrates [for review see ]. Smaller but related molecules have been identified in invertebrate striated or smooth muscles, variously named mini-titins, projectins or twitchins (in molluscs), depending on their origin [49, 50]. The expression of this gene in resistant snails may indicate a signalling or muscle response to parasite infection that is not initiated in susceptible snails. In addition to titin, a cytoplasmic intermediate filament (IF) protein (CK656726) was identified only in the resistant snails. Rather than merely providing a cellular framework, recent research has demonstrated that IFs are dynamic, motile elements of the cytoskeleton in vertebrate cells . An IF protein has previously been identified in B. glabrata, using a comparative proteomic approach, as differentially expressed in snails resistant to E. caproni  and it was suggested that this gene could be a candidate to explain differences in susceptibility/resistance, considering the major role of haemocyte mobility and adherence capabilities in defence to the parasite. Interestingly, uninfected susceptible snails demonstrated higher levels of the IF gene transcript; however post-exposure to the parasite the resistant snails showed a significant increase in transcript levels, while susceptible snails had a decrease. Our sequence does not identify this transcript either at the nucleotide or protein level and demonstrates close homology (e-value: 6.4e-25) to a neuronal IF, neurofilament protein NF70 from Helix aspersa  one of the type IV IFs. It has also been suggested that some IFs participate in signalling processes by providing a scaffold to bring together activated MAP kinases (such as extracellular signal-regulated kinase, ERK) with other molecules .
Other molecules potentially involved in signaling processes in the cell are importin 7 and copine 1. A gene fragment homologous to importin 7 (EW997446) was identified in the resistant snails. This protein functions as a nuclear import cofactor, and in Drosophila, has been implicated in the control of multiple signal transduction pathways, including the direct nuclear import of the activated (phosphorylated) form of MAP kinase (ERK) . S. mansoni excretory secretory products (ESPs) and whole sporocysts have been shown to affect ERK signalling in the haemocytes of susceptible snails, but not resistant ones  suggesting that the disruption of ERK signalling in haemocytes facilitates S. mansoni survival within susceptible B. glabrata. Another gene, copine 1 (EW997520), implicated in membrane trafficking  and signal transduction  was identified in the resistant snails. Copine 1 is a calcium-dependent membrane binding protein which, in mammals, has been shown to regulate the NF kappa B transcriptional responses . In Arabidopsis thaliana, copine 1 is suggested to play a role in plant disease resistant responses, possibly as a suppressor of defense responses including the hypersensitive cell death response .
We identified two hydrolytic enzymes in haemocytes from the resistant snail line, elastase (EW996827) and cathepsin L-like protease precursor (CO870188), also known as cysteine proteinase. Higher levels of cysteine proteinase activity have previously been observed in hepatopancreas extracts from resistant (BS-90) B. glabrata when compared to susceptible (M-line) snails . Cathepsin L, cathepsin B and elastase were also identified among other hydrolytic enzymes from a hepatopancreas EST library derived from resistant snails and cathepsin B demonstrated greater up-regulation in resistant snails compared to susceptible snails upon parasite exposure . In invertebrates, cysteine proteases play a major role in the lysosomal proteolytic system, responsible for intracellular protein degradation . This role, in the lysis of phagocytosed particles, may be significant in the breakdown of encapsulated sporocysts or phagocytosed parasite components. In addition to a role as a scavenger for the clearance of unwanted proteins, this protease plays an important role in antigen processing and presentation in mammalian immune systems [63, 64] and lysosomal proteases have been implicated in innate immunity in insect haemocytes . Genome-wide analysis of immune challenged Drosophila revealed elevated expression of cathepsin L when infected with either Gram-positive bacteria or fungi . Similarly, cathepsin L was highly expressed in WSSV (white spot syndrome virus) resistant shrimp, suggesting that it is involved in defence responses . A cathepsin L-like gene (EE049537) has previously been identified in B. glabrata susceptible to Echinostoma caproni infection . Our sequence (CO870188) does not cluster with this and identifies (by BLAST) a cathepsin-like domain 3' to sequence identified by the other gene fragment, suggesting that the ESTs may be two non-overlapping parts of the same gene. The discrepancy between the observed changes in gene expression may be due to the different response elicited by two different parasite species. S. mansoni fails to produce a response in susceptible snails as they fail to recognise the presence of the parasite, while in echinostome infections a defence response may be mounted by the snail, but is interfered with by the parasite .
Differential expression of ubiquitin conjugating enzyme (UBE2D/E) E2 (EC18.104.22.168) (EW997520) was detected in exposed resistant snails and may indicate removal of the phagocytosed sporocyst. Ubiquitination plays an important role in various cellular functions including apoptosis, cell cycle progression, transcription and endocytosis . A major role is regulating the half-life of proteins by targeting them for 26S proteasomal degradation, removing denatured, damaged or improperly translated proteins.
In this study we compared haemocytes obtained from resistant and susceptible snail strains 2 to 24 h after exposure to S. mansoni, and have found differentially expressed transcripts potentially involved in a range of responses from signalling and inflammation responses through to lysis of proteinacous products (e.g. encapsulated sporocysts, or phagocytosed parasite components) and processing/degradation of such targeted products by ubiquitination. In future, examination of biological replicates will increase the confidence that the transcripts identified in this study are truly significant in the snail IDS, in addition to demonstrating the amplification techniques utilized in this study are robust. Examination of a series of narrower time slots will enable us to unravel the sequence of processes involved and highlight genes initiating the cascade in resistant (responsive) hosts. A simultaneous comparison of both parasite-exposed and unexposed snails from both snail lines will also determine if the basis of the snail's resistance is due to an underlying difference in gene expression between the strains, or from differences in their response to the parasite. Such comparisons may also be significant in determining why susceptible snails do not respond to infection, either by non-recognition of invading parasite or by active suppression of innate response by the parasite, which may be indicated if S. mansoni-exposure results in significantly more down-regulated genes in susceptible snails. At present we can only speculate on the function in B. glabrata of the genes identified. Future expression experiments involving RNAi or in situ hybridization may elucidate their role in resistance.
In conclusion, the advent of the first cDNA microarray for B. glabrata leads the way for detailed analysis of the B. glabrata transcriptome and can be developed further to include more cDNAs as these become available. The array described here is particularly suited for analysis of snail haemocytes and their role in the snail IDS since it contains a large proportion of genes sequenced from haemocytes. Despite the current limited size of the array, prior enrichment for differentially expressed genes using the SSH approach has enabled us to identify a number of genes and pathways differentially expressed in the resistant snail line and potentially involved in the defence of resistant snails to schistosome infection. These include hydrolytic enzymes such as elastase and the cysteine protease, cathepsin L; ornithine decarboxylase, involved in the production of polyamines; HSP70; potential signalling molecules importin 7 and copine 1 and transcription enzymes such as EF-1α and EF-2. Continued development of this array has great potential for examining and understanding the functions of the B. glabrata transcriptome.
SSH library sequencing and bioinformatic analysis
8 SSH libraries were available for sequencing . 192 clones (2 × 96), selected at random from each library, were picked into 0.5 ml LB and grown up overnight. 10 μl PCRs with M13 forward and reverse primers were carried out to check insert size and the presence of a single insert and, from these, 96 colonies were chosen for 100 μl PCRs. PCRs contained 1 × NH4 reaction buffer (Bioline, London, UK), 2.5 mM MgCl2, 0.2 mM dNTP, 0.2 μM each M13 Forward and Reverse primers and 0.025 U/μl PCR Taq polymerase (Bioline, London, UK). Cycling conditions were: 94°C for 2 min, then 35 cycles of 94°C for 30 sec, 58°C for 30 sec and 72°C for 1 min 30 sec, then 10 min at 72°C. Glycerol stocks for the selected colonies were stored at -80°C. PCR products were purified using Multiscreen PCR filter plates (Millipore, Billerica, USA) then cycle-sequenced directly using BigDye kit (Applied Biosystems, Foster City, USA) and T7 primer and run on ABI 377 or capillary sequencers. Vector, primer and poor quality sequences were removed using Sequencher 3.1.1 (GeneCodes Corp., Ann Arbor, USA.). Cluster analysis was performed in SeqTools http://www.seqtools.dk/ using BlastN score values (cutoff value 0.5) and used to calculate percentage redundancy. For each library BlastN and BlastX  searches were run and ribosomal, short (< 80 bp) and duplicate sequences were removed, although overlapping sequences were retained. Duplicate sequences between libraries were retained. Sequences were submitted to GenBank (EW996689-EW997658). Gene Ontology functions were assigned using GOblet http://goblet.molgen.mpg.de/. KEGG (Kyoto Encyclopaedia of Genes and Genomes) pathway analysis was carried out using the KEGG automatic annotation server (KAAS) for ortholog assignment and pathway mapping http://www.genome.jp/kegg/kaas/.
1062 ORESTES clones available from the first 27 ORESTES libraries  (GenBank numbers CK149151-CK149590, CK656591-CK656938, CO870183-CO870449, CV548035-CV548805, EG030731-EG030747) and 980 SSH clones (GenBank numbers EW996689-EW997658) were picked using a Microlab Star robotic work station (Hamilton) and transferred to 384 well plates. 11 clones from our previous differential display studies were also included (GenBank numbers CK136129, CK136132-CK136138) including a HSP70 sequence; a gene coding for a protein with globin-like domains and several genes with unknown functions which were shown to be upregulated in the resistant snail line after parasite exposure , as well as 3 clones containing overlapping regions of CYP320A (GenBank Accession AY922309)  which was identified from a 70% resistant snail line . A total of 2053 cDNA clones (50–200 ng/μl) were printed in duplicate within each subarray. Controls were also included: yeast tRNA (250 ng/μl); B. glabrata genomic DNA, NHM3017, NHM1742 (200 ng/μl); pGem (purified vector with no insert) (75 ng/μl), two specific genes, (ribosomal 18s and cytochrome oxidase I) amplified from S. mansoni and blanks containing spotting buffer only. 15 μl aliquots were transferred to a second 384 well plate (Genetix) and 5 μl 4× spotting buffer (600 mM sodium phosphate; 0.04% SDS) added. The clones were printed in 16 subarrays (4 columns × 4 rows), with 18 × 17 clones in each subarray, and, since the size of the array allowed it, two arrays were printed per aminopropyl silane coated glass slide (GAPSII, Corning, at the Microarray facility at Dept of Pathology, Cambridge University), using a Lucidea arrayer (Amersham Biosciences). Microarrays were processed by baking for 2 h at 80°C and UV cross-linking at 600 mJ.
Snail material and parasite exposure
60 adult B. glabrata snails from susceptible line (NHM Accession number 1742) and 60 from resistant line (NHM Accession number 3017, derived from BS-90 ) were held overnight in autoclaved snail water with 100 μg/ml ampicillin. Each snail was individually exposed to 10 S. mansoni miracidia (Belo Horizonte strain). Samples of 12 resistant and 12 susceptible snails were taken at 5 time periods, starting at 2, 4, 6, 8 and 24 h after exposure to the parasite. The extended sampling was designed to include all transcripts expressed over the first 24 h post parasite exposure. Snails were swiftly killed by decapitation, and the exuded haemolymph collected. Haemolymph was pooled for each sampling time and snail strain, and haemocytes pelleted by spinning at 10,000 g at 4°C for 20 min. The pellet was frozen in liquid nitrogen and stored at -80°C.
Total RNA was extracted from haemocytes pooled from all the time periods, using SV RNA extraction kit (Promega UK Ltd, Southampton, UK) according to the manufacturer's protocol. This kit includes DNAse treatment to eliminate genomic DNA contamination. cDNA was synthesized from 500 ng total RNA using the Smart PCR cDNA synthesis kit (BD Biosciences) according to the manufacturer's instructions and was labelled with Cy3 or Cy5 using the BioPrime DNA labelling system (Invitrogen). The labelled products were purified (Auto-seq 50 columns, Amersham), combined and precipitated. Before hybridization the microarray slides were prehybridized with hybridization buffer (40% formamide, 5× Denhardts, 5× SSC, 1 mM Sodium pyrophosphate, 1 mM Tris and 0.1% SDS) at 50°C for 1 h. The combined labelled cDNA was re-suspended in 40 μl hybridization solution, denatured at 95°C for 5 min then 50°C for 5 min, spun down, then applied to the array. Hybridizations were carried out at 50°C for 16–18 h in a humidified chamber. 3 independent SMART amplifications were made from the synthesized cDNA and 4 hybridizations were performed, including one dye swap. The slides were washed with 2 successive 5 min washes in 2× SSC at room temperature with agitation, then two in 0.2× SSC/0.1% SDS, then two in 0.1× SSC, each for 5 min and dried by spinning.
Microarray scanning and analysis
Microarray slides were scanned sequentially for each Cy dye, at 10 μm resolution using an Axon GenePix 4100A scanner. The PMT (photo multiplying tube) was adjusted to give an average intensity ratio between channels of approximately 1. Spot finding and intensity analysis was carried out using GenePix Pro 5.0. The results were exported to Acuity 4.0. The mean pixel intensity (Feature(wavelength)-Background(wavelength)) was normalized using intensity-dependent lowess normalization for each feature  and consistency within each array was assessed by comparing normalized mean pixel intensity ratios (Cy3/Cy5) for each duplicate feature. Poor quality spots and low intensity data were removed. For each array the mean intensity values for pGem (vector) controls was calculated to give a background level of hybridization and only features with higher intensities than the mean plus one standard deviation threshold in either channel (Cy3 or Cy5) were retained. Consistency between array replicates was assessed by comparing mean (from the two duplicates) intensity ratios for each clone. The mean and SD of the remaining data, excluding SSH clones, were used to calculate 99% confidence limits for the normalized intensities for each array and those features which showed differential expression outside this 99% level marked. Genes that passed the 99% confidence level in 3 or 4 of the arrays were considered to demonstrate differential expression. The data from this microarray experiment has been deposited with ArrayExpress: accession E-MEXP-1710.
Quantitative real-time PCR
qPCR primers for selected candidates
Product size (bp)
where Etarget is the PCR amplification efficiency of the target gene; Eref is the PCR amplification efficiency of the reference gene; CTtarget is the threshold cycle of the PCR amplification of the target gene and CTref is the threshold cycle of the PCR amplification of the reference gene [using Equation 3, see ]. Reactions were carried out in triplicate and a Student's t-test (2 samples, 2 tailed distribution) used to determine significant difference in expression between the two snail lines.
This work was carried out with funding from the Wellcome Trust (068589/Z/02/Z). We would like to thank Aidan Emery, Jayne King and Mike Anderson, NHM, for snail and parasite culture, Claire Griffin, NHM, for sequencing assistance, and Julia Llewellyn-Hughes and Steve Llewellyn-Hughes for using the Microlab Star robotic work station (Hamilton) to pick the clones. The microarrays were printed at the Department of Pathology, Cambridge University, by Anthony Brown and David Carter. Cathy Jones was in receipt of a Royal Society of Edinburgh Sabbatical Fellowship whilst co-authoring this article.
- Chitsulo L, Loverde R, Engels D, Barakat R, Colley D, Cioli D, Feldmeier H, Loverde P, Olds GR, Ourna J: Schistosomiasis. Nature Reviews Microbiology. 2004, 2: 12-13. 10.1038/nrmicro801.View ArticleGoogle Scholar
- Saavedra C, Bachere E: Bivalve genomics. Aquaculture. 2006, 256: 1-14. 10.1016/j.aquaculture.2006.02.023.View ArticleGoogle Scholar
- Tanguy A, Bierne N, Saavedra C, Pina B, Bachère E, Kube M, Bazin E, Bonhomme F, Boudry P, Boulo V: Increasing genomic information in bivalves through new EST collections in four species: Development of new genetic markers for environmental studies and genome evolution. Gene. 2008, 408: 27-36. 10.1016/j.gene.2007.10.021.View ArticleGoogle Scholar
- Davison A, Blaxter ML: An expressed sequence tag survey of gene expression in the pond snail Lymnaea stagnalis, an intermediate vector of Fasciola hepatica. Parasitology. 2005, 130: 539-552. 10.1017/S0031182004006791.View ArticleGoogle Scholar
- Mitta G, Galinier R, Tisseyre P, Allienne JF, Girerd-Chambaz Y, Guillou F, Bouchut A, Coustau C: Gene discovery and expression analysis of immune-relevant genes from Biomphalaria glabrata hemocytes. Dev Comp Immunol. 2005, 29: 393-407. 10.1016/j.dci.2004.10.002.View ArticleGoogle Scholar
- Lockyer AE, Spinks JN, Walker AJ, Kane RA, Noble LR, Rollinson D, Dias-Neto E, Jones CS: Biomphalaria glabrata transcriptome: Identification of cell-signalling, transcriptional control and immune-related genes from open reading frame expressed sequence tags (ORESTES). Dev Comp Immunol. 2007, 31: 763-782. 10.1016/j.dci.2006.11.004.PubMed CentralView ArticleGoogle Scholar
- Hanelt B, Lun CM, Adema CM: Comparative ORESTES-sampling of transcriptomes of immune-challenged Biomphalaria glabrata snails. J Invertebr Pathol. 2008,Google Scholar
- Raghavan N, Knight M: The snail (Biomphalaria glabrata) genome project. Trends Parasitol. 2006, 22: 148-151. 10.1016/j.pt.2006.02.008.View ArticleGoogle Scholar
- DeJong RJ, Emery AM, Adema CM: The mitochondrial genome of Biomphalaria glabrata (Gastropoda : Basommatophora), intermediate host of Schistosoma mansoni. J Parasitol. 2004, 90: 991-997. 10.1645/GE-284R.View ArticleGoogle Scholar
- Adema CM, Luo MZ, Hanelt B, Hertel LA, Marshall JJ, Zhang SM, DeJong RJ, Kim HR, Kudrna D, Wing RA: A bacterial artificial chromosome library for Biomphalaria glabrata, intermediate snail host of Schistosoma mansoni. Mem Inst Oswaldo Cruz. 2006, 101: 167-177. 10.1590/S0074-02762006000900027.View ArticleGoogle Scholar
- Lockyer AE, Jones CS, Noble LR, Rollinson D: Trematodes and snails: an intimate association. Can J Zool. 2004, 82: 251-269. 10.1139/z03-215.View ArticleGoogle Scholar
- Knaap van der WPW, Loker ES: Immune mechanisms in trematode-snail interactions. Parasitol Today. 1990, 6: 175-182. 10.1016/0169-4758(90)90349-9.View ArticleGoogle Scholar
- Adema CM, Loker ES: Specificity and immunobiology of larval digenean snail associations. Advances in Trematode Biology. Edited by: Fried B, Graczyk TK. 1997, Florida: CRC Press, 230-253.Google Scholar
- Loker ES, Adema CM, Zhang SM, Kepler TB: Invertebrate immune systems – not homogeneous, not simple, not well understood. Immunological Reviews. 2004, 198: 10-24. 10.1111/j.0105-2896.2004.0117.x.View ArticleGoogle Scholar
- Zhang SM, Adema CM, Kepler TB, Loker ES: Diversification of Ig superfamily genes in an invertebrate. Science. 2004, 305: 251-254. 10.1126/science.1088069.View ArticleGoogle Scholar
- Bayne CJ, Hahn UK, Bender RC: Mechanisms of molluscan host resistance and of parasite strategies for survival. Parasitology. 2001, 123: S159-167. 10.1017/S0031182001008137.View ArticleGoogle Scholar
- Bayne CJ: Origins and evolutionary relationships between the innate and adaptive arms of immune systems. Integr Comp Biol. 2003, 43: 293-299. 10.1093/icb/43.2.293.View ArticleGoogle Scholar
- Goodall CP, Bender RC, Brooks JK, Bayne CJ: Biomphalaria glabrata cytosolic copper/zinc superoxide dismutase (SOD1) gene: Association of SOD1 alleles with resistance/susceptibility to Schistosoma mansoni. Mol Biochem Parasitol. 2006, 147: 207-210. 10.1016/j.molbiopara.2006.02.009.View ArticleGoogle Scholar
- Bender RC, Goodall CP, Blouin MS, Bayne CJ: Variation in expression of Biomphalaria glabrata SOD1: A potential controlling factor in susceptibility/resistance to Schistosoma mansoni. Dev Comp Immunol. 2007, 31: 874-878. 10.1016/j.dci.2006.12.005.View ArticleGoogle Scholar
- Lockyer AE, Jones CS, Noble LR, Rollinson D: Use of differential display to detect changes in gene expression in the intermediate snail host Biomphalaria glabrata upon infection with Schistosoma mansoni. Parasitology. 2000, 120: 399-407. 10.1017/S0031182099005624.View ArticleGoogle Scholar
- Lockyer AE, Noble LR, Rollinson D, Jones CS: Schistosoma mansoni : resistant specific infection-induced gene expression in Biomphalaria glabrata identified by fluorescent-based differential display. Exp Parasitol. 2004, 107: 97-104. 10.1016/j.exppara.2004.04.004.View ArticleGoogle Scholar
- Jones CS, Lockyer AE, Rollinson D, Noble LR: Molecular approaches in the study of Biomphalaria glabrata – Schistosoma mansoni interactions: linkage analysis and gene expression profiling. Parasitology. 2001, 123: S181-196.Google Scholar
- Schneider O, Zelck UE: Differential display analysis of hemocytes from schistosome- resistant and schistosome-susceptible intermediate hosts. Parasitol Res. 2001, 87: 489-491. 10.1007/s004360100394.View ArticleGoogle Scholar
- Raghavan N, Miller AN, Gardner M, FitzGerald PC, Kerlavage AR, Johnston DA, Lewis FA, Knight M: Comparative gene analysis of Biomphalaria glabrata hemocytes pre- and post-exposure to miracidia of Schistosoma mansoni. Mol Biochem Parasitol. 2003, 126: 181-191. 10.1016/S0166-6851(02)00272-4.View ArticleGoogle Scholar
- Miller AN, Raghavan N, FitzGerald PC, Lewis FA, Knight M: Differential gene expression in haemocytes of the snail Biomphalaria glabrata : effects of Schistosoma mansoni infection. Int J Parasitol. 2001, 31: 687-696. 10.1016/S0020-7519(01)00133-3.View ArticleGoogle Scholar
- Nowak TS, Woodards AC, Jung YH, Adema CM, Loker ES: Identification of transcripts generated during the response of resistant Biomphalaria glabrata to Schistosoma mansoni infection using suppression subtractive hybridization. J Parasitol. 2004, 90: 1034-1040. 10.1645/GE-193R1.View ArticleGoogle Scholar
- Lockyer AE, Spinks J, Noble LR, Rollinson D, Jones CS: Identification of genes involved in interactions between Biomphalaria glabrata and Schistosoma mansoni by suppression subtractive hybridization. Mol Biochem Parasitol. 2007, 151: 18-27. 10.1016/j.molbiopara.2006.09.009.PubMed CentralView ArticleGoogle Scholar
- Loker ES, Bayne CJ, Buckley PM, Kruse KT: Ultrastructure of encapsulation of Schistosoma mansoni mother sporocysts by hemocytes of juveniles of the 10-R2 strain of Biomphalaria glabrata. J Parasitol. 1982, 68: 84-94. 10.2307/3281328.View ArticleGoogle Scholar
- Petalidis L, Bhattacharyya S, Morris GA, Collins VP, Freeman TC, Lyons PA: Global amplification of mRNA by template-switching PCR: linearity and application to microarray analysis. Nucleic Acids Res. 2003, 31:Google Scholar
- Subkhankulova T, Livesey FJ: Comparative evaluation of linear and exponential amplification techniques for expression profiling at the single-cell level. Genome Biology. 2006, 7:Google Scholar
- Cao Y, Zhao H, Hollemann T, Chen YL, Grunz H: Tissue-specific expression of an ornithine decarboxylase paralogue, XODC2, in Xenopus laevis. Mech Dev. 2001, 102: 243-246. 10.1016/S0925-4773(01)00295-7.View ArticleGoogle Scholar
- Rom E, Kahana C: Isolation and characterization of the Drosophila ornithine decarboxylase locus – Evidence for the presence of 2 transcribed ODC genes in the Drosophila genome. DNA Cell Biol. 1993, 12: 499-508.View ArticleGoogle Scholar
- Damian RT: Parasite immune evasion and exploitation: reflections and projections. Parasitology. 1997, 115: S169-S175. 10.1017/S0031182097002357.View ArticleGoogle Scholar
- Thomas T, Thomas TJ: Polyamines in cell growth and cell death: molecular mechanisms and therapeutic applications. Cell Mol Life Sci. 2001, 58: 244-258. 10.1007/PL00000852.View ArticleGoogle Scholar
- Rhee HJ, Kim EJ, Lee JK: Physiological polyamines: simple primordial stress molecules. J Cell Mol Med. 2007, 11: 685-703. 10.1111/j.1582-4934.2007.00077.x.PubMed CentralView ArticleGoogle Scholar
- Ha HC, Sirisoma NS, Kuppusamy P, Zweier JL, Woster PM, Casero RA: The natural polyamine spermine functions directly as a free radical scavenger. Proc Natl Acad Sci USA. 1998, 95: 11140-11145. 10.1073/pnas.95.19.11140.PubMed CentralView ArticleGoogle Scholar
- Ha HC, Yager JD, Woster PA, Casero RA: Structural specificity of polyamines and polyamine analogues in the protection of DNA from strand breaks induced by reactive oxygen species. Biochem Biophys Res Commun. 1998, 244: 298-303. 10.1006/bbrc.1998.8258.View ArticleGoogle Scholar
- Adema CM, van deutekom Mulder EC, Knaap van der WPW, Sminia T: Schistosomicidal activities of Lymnaea stagnalis hemocytes – the role of oxygen radicals. Parasitology. 1994, 109: 479-485.View ArticleGoogle Scholar
- Hahn UK, Bender RC, Bayne CJ: Involvement of nitric oxide in killing of Schistosoma mansoni sporocysts by hemocytes from resistant Biomphalaria glabrata. J Parasitol. 2001, 87: 778-785.View ArticleGoogle Scholar
- Albina JE, Caldwell MD, Henry WL, Mills CD: Regulation of macrophage functions by L-arginine. J Exp Med. 1989, 169: 1021-1029. 10.1084/jem.169.3.1021.View ArticleGoogle Scholar
- Witte MB, Barbul A: Arginine physiology and its implication for wound healing. Wound Repair Regen. 2003, 11: 419-423. 10.1046/j.1524-475X.2003.11605.x.View ArticleGoogle Scholar
- Shearer JD, Richards JR, Mills CD, Caldwell MD: Differential regulation of macrophage arginine metabolism: A proposed role in wound healing. Am J Physiol. 1997, 272 (2 Pt 1): E181-E190.Google Scholar
- Curran JN, Winter DC, Bouchier-Hayes D: Biological fate and clinical implications of arginine metabolism in tissue healing. Wound Repair Regen. 2006, 14: 376-386. 10.1111/j.1743-6109.2006.00151.x.View ArticleGoogle Scholar
- Brunet LR: Nitric oxide in parasitic infections. International Immunopharmacology. 2001, 1: 1457-1467. 10.1016/S1567-5769(01)00090-X.View ArticleGoogle Scholar
- Hahn UK, Bender RC, Bayne CJ: Killing of Schistosoma mansoni sporocysts by hemocytes from resistant Biomphalaria glabrata: Role of reactive oxygen species. J Parasitol. 2001, 87: 292-299.View ArticleGoogle Scholar
- Tirard CT, Grossfeld RM, Levine JF, Kennedy-Stroskopf S: Effect of hyperthermia in vitro on stress protein synthesis and accumulation in oyster hemocytes. Fish Shellfish Immunol. 1995, 5: 9-25. 10.1016/S1050-4648(05)80003-8.View ArticleGoogle Scholar
- Lacoste A, De Cian MC, Cueff A, Poulet SA: Noradrenaline and alpha-adrenergic signaling induce the hsp70 gene promoter in mollusc immune cells. J Cell Sci. 2001, 114: 3557-3564.Google Scholar
- Lange S, Xiang FQ, Yakovenko A, Vihola A, Hackman P, Rostkova E, Kristensen J, Brandmeier B, Franzen G, Hedberg B: The kinase domain of titin controls muscle gene expression and protein turnover. Science. 2005, 308: 1599-1603. 10.1126/science.1110463.View ArticleGoogle Scholar
- Vibert P, Edelstein SM, Castellani L, Elliott BW: Mini-titins in striated and smooth molluscan muscles – structure, location and immunological cross-reactivity. J Muscle Res Cell Motil. 1993, 14: 598-607. 10.1007/BF00141557.View ArticleGoogle Scholar
- Funabara D, Kanoh S, Siegman MJ, Butler TM, Hartshorne DJ, Watabe S: Twitchin as a regulator of catch contraction in molluscan smooth muscle. J Muscle Res Cell Motil. 2005, 26: 455-460. 10.1007/s10974-005-9029-2.PubMed CentralView ArticleGoogle Scholar
- Helfand BT, Chang L, Goldman RD: Intermediate filaments are dynamic and motile elements of cellular architecture. J Cell Sci. 2004, 117: 133-141. 10.1242/jcs.00936.View ArticleGoogle Scholar
- Bouchut A, Sautiere PE, Coustau C, Mitta G: Compatibility in the Biomphalaria glabrata/Echinostoma caproni model: Potential involvement of proteins from hemocytes revealed by a proteomic approach. Acta Trop. 2006, 98: 234-246. 10.1016/j.actatropica.2006.05.007.View ArticleGoogle Scholar
- Adjaye J, Plessmann U, Weber K, Dodemont H: Characterization of neurofilament protein NF70 mRNA from the gastropod Helix aspersa reveals that neuronal and nonneuronal intermediate filament proteins of cerebral ganglia arise from separate lamin-related genes. J Cell Sci. 1995, 108: 3581-3590.Google Scholar
- Helfand BT, Chou YH, Shumaker DK, Goldman RD: Intermediate filament proteins participate in signal transduction. Trends Cell Biol. 2005, 15: 568-570. 10.1016/j.tcb.2005.09.009.View ArticleGoogle Scholar
- Lorenzen JA, Baker SE, Denhez F, Melnick MB, Brower DL, Perkins LA: Nuclear import of activated D-ERK by DIM-7, an importin family member encoded by the gene moleskin. Development. 2001, 128: 1403-1414.Google Scholar
- Zahoor Z, Davies AJ, Kirk RS, Rollinson D, Walker AJ: Disruption of ERK signalling in Biomphalaria glabrata defence cells by Schistosoma mansoni: Implications for parasite survival in the snail host. Dev Comp Immunol. 2008,Google Scholar
- Creutz CE, Tomsig JL, Snyder SL, Gautier MC, Skouri F, Beisson J, Cohen J: The copines, a novel class of C2 domain-containing, calcium-dependent, phospholipid-binding proteins conserved from Paramecium to humans. J Biol Chem. 1998, 273: 1393-1402. 10.1074/jbc.273.3.1393.View ArticleGoogle Scholar
- Tomsig JL, Sohma H, Creutz CE: Calcium-dependent regulation of tumour necrosis factor-alpha receptor signalling by copine. Biochem J. 2004, 378: 1089-1094. 10.1042/BJ20031654.PubMed CentralView ArticleGoogle Scholar
- Ramsey CS, Yeung F, Stoddard PB, Li D, Creutz CE, Mayo MW: Copine-I represses NF-kappa B transcription by endoproteolysis of p65. Oncogene. 2008, 27: 3516-3526. 10.1038/sj.onc.1211030.View ArticleGoogle Scholar
- Jambunathan N, McNellis TW: Regulation of Arabidopsis COPINE 1 gene expression in response to pathogens and abiotic stimuli. Plant Physiol. 2003, 132: 1370-1381. 10.1104/pp.103.022970.PubMed CentralView ArticleGoogle Scholar
- Myers J, Ittiprasert W, Raghavan N, Miller A, Knight M: Differences in cysteine protease activity in Schistosoma mansoni -resistant and -susceptible Biomphalaria glabrata and characterization of the hepatopancreas Cathepsin B full-length cDNA. J Parasitol. 2008, 659-668.Google Scholar
- Knop M, Schiffer HH, Rupp S, Wolf DH: Vacuolar/lysosomal proteolysis: proteases, substrates, mechanisms. Curr Opin Cell Biol. 1993, 5: 990-996. 10.1016/0955-0674(93)90082-2.View ArticleGoogle Scholar
- Turk B, Turk D, Turk V: Lysosomal cysteine proteases: more than scavengers. Biochim Biophys Acta. 2000, 1477 (1-2): 98-111.View ArticleGoogle Scholar
- Zavasnik-Bergant T, Turk B: Cysteine cathepsins in the immune response. Tissue Antigens. 2006, 67: 349-355. 10.1111/j.1399-0039.2006.00585.x.View ArticleGoogle Scholar
- Loseva O, Engstrom Y: Analysis of signal-dependent changes in the proteome of Drosophila blood cells during an immune response. Molecular & Cellular Proteomics. 2004, 3: 796-808. 10.1074/mcp.M400028-MCP200.View ArticleGoogle Scholar
- Irving P, Troxler L, Heuer TS, Belvin M, Kopczynski C, Reichhart JM, Hoffmann JA, Hetru C: A genome-wide analysis of immune responses in Drosophila. Proc Natl Acad Sci USA. 2001, 98: 15119-15124. 10.1073/pnas.261573998.PubMed CentralView ArticleGoogle Scholar
- Zhao ZY, Yin ZX, Weng SP, Guan HJ, Li SD, Xing K, Chan SM, He JG: Profiling of differentially expressed genes in hepatopancreas of white spot syndrome virus-resistant shrimp (Litopenaeus vannamei) by suppression subtractive hybridisation. Fish Shellfish Immunol. 2007, 22: 520-534. 10.1016/j.fsi.2006.07.003.View ArticleGoogle Scholar
- Bouchut A, Coustau C, Gourbal B, Mitta G: Compatibility in the Biomphalaria glabrata/Echinostoma caproni model: new candidate genes evidenced by a suppressive subtractive hybridization approach. Parasitology. 2007, 134: 575-588. 10.1017/S0031182006001673.View ArticleGoogle Scholar
- Guillou F, Roger E, Mone Y, Rognon A, Grunau C, Threron A, Mitta G, Coustau C, Gourbal BEF: Excretory-secretory proteome of larval Schistosoma mansoni and Echinostoma caproni, two parasites of Biomphalaria glabrata. Mol Biochem Parasitol. 2007, 155: 45-56. 10.1016/j.molbiopara.2007.05.009.View ArticleGoogle Scholar
- Hershko A, Ciechanover A: The ubiquitin system. Annu Rev Biochem. 1998, 67: 425-479. 10.1146/annurev.biochem.67.1.425.View ArticleGoogle Scholar
- Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ: Basic Local Alignment Search Tool. J Mol Biol. 1990, 215: 403-410.View ArticleGoogle Scholar
- Lockyer AE, Noble LR, Rollinson D, Jones CS: Isolation and characterization of the full-length cDNA encoding a member of a novel cytochrome p450 family (CYP320A1) from the tropical freshwater snail, Biomphalaria glabrata, intermediate host for Schistosoma mansoni. Mem Inst Oswaldo Cruz. 2005, 100: 259-262. 10.1590/S0074-02762005000300007.View ArticleGoogle Scholar
- Paraense WL, Correa LR: Variation in susceptibility of populations of Austrolorbis glabratus to a strain of Schistosoma mansoni. Rev Inst Med Trop Sao Paulo. 1963, 5: 15-22.Google Scholar
- Cleveland WS: Lowess – a program for smoothing scatterplots by robust locally weighted regression. American Statistician. 1981, 35: 54-54. 10.2307/2683591.View ArticleGoogle Scholar
- Muller PY, Janovjak H, Miserez AR, Dobbie Z: Processing of gene expression data generated by quantitative real-time RT-PCR. Biotechniques. 2002, 32: 1372-1379.Google Scholar
- Pfaffl MW: A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res. 2001, 29:Google Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.