The Xenopus FcR family demonstrates continually high diversification of paired receptors in vertebrate evolution
© Guselnikov et al; licensee BioMed Central Ltd. 2008
Received: 26 September 2007
Accepted: 16 May 2008
Published: 16 May 2008
Recent studies have revealed an unexpected diversity of domain architecture among FcR-like receptors that presumably fulfill regulatory functions in the immune system. Different species of mammals, as well as chicken and catfish have been found to possess strikingly different sets of these receptors. To better understand the evolutionary history of paired receptors, we extended the study of FcR-like genes in amphibian representatives Xenopus tropicalis and Xenopus laevis.
The diploid genome of X. tropicalis contains at least 75 genes encoding paired FcR-related receptors designated XFLs. The allotetraploid X. laevis displays many similar genes primarily expressed in lymphoid tissues. Up to 35 domain architectures generated by combinatorial joining of six Ig-domain subtypes and two subtypes of the transmembrane regions were found in XFLs. None of these variants are shared by FcR-related proteins from other studied species. Putative activating XFLs associate with the FcRγ subunit, and their transmembrane domains are highly similar to those of activating mammalian KIR-related receptors. This argues in favor of a common origin for the FcR and the KIR families. Phylogenetic analysis shows that the entire repertoires of the Xenopus and mammalian FcR-related proteins have emerged after the amphibian-amniotes split.
FcR- and KIR-related receptors evolved through continual species-specific diversification, most likely by extensive domain shuffling and birth-and-death processes. This mode of evolution raises the possibility that the ancestral function of these paired receptors was a direct interaction with pathogens and that many physiological functions found in the mammalian receptors were secondary acquisitions or specializations.
Immune responses are regulated by a balance of opposing signals delivered from leukocyte surface molecules [1, 2]. In the mammalian immune system, several families of activating and inhibitory receptors form an elaborated regulatory network that tightly affects all stages of immune responses. The evolutionary history of this network is poorly understood. While "pairing" of receptors into the inhibitory and activating forms appears to have occurred in invertebrates, there is no clear evolutionary continuity between invertebrate and vertebrate receptor systems [3, 4]. Furthermore, ambiguity of relationships is often observed for paired receptors from different lineages of vertebrates [5–8].
Classical Fc receptors (FcR) and killer cell immunoglobulin receptors (KIR) constitute two families that are prototypic for the paradigm of immune regulation through integration of activating and inhibitory signals. Members of each family fall into two main signaling classes. The inhibitory receptors contain ITIMs in their cytoplasmic tails, while the activating receptors associate with the ITAM-bearing transmembrane signal subunits, such as FcRγ (FcRs) or DAP12 (KIRs). FcRs are widely expressed on various leukocyte subsets. They regulate phagocytosis, cytokines release, antibody-dependent cell mediated cytotoxicity, and antibody synthesis [9, 10]. KIRs play a crucial role in regulation of human NK cell cytotoxicity via recognition of MHC class I antigens on the surface of target cells [11–13].
During the last decade, it has been recognized that FcRs and KIRs belong to large families comprised of structurally related yet highly diverse proteins. Thus far, eight human and six mouse FcR-like (FCRL) genes have been described [14–23]. Two of them, designated FCRLA and FCRLB according to the new nomenclature , are intracellular proteins composed of three Ig-like domains and a C-terminal mucin-like domain. Six human (FCRL1-FCRL6) and three mouse (FCRL1, FCRL5, and FCRL6) genes code for cell surface receptors with the extracellular regions (EC) composed of two to nine Ig-like domains and intracellular regions bearing different patterns of the ITIM-, ITSM- and ITAM-like motifs. Apart from the FcR-characteristic D1, D2 and D3 subtypes, two new structural Ig-like domain subtypes, D4 and D5, have been identified in these proteins. Furthermore, one of the novel mouse genes, FCRLS, encodes a soluble mosaic protein containing a scavenger domain [17, 22].
Studies of the KIR family have also revealed its considerable structural and functional heterogeneity. Human KIR-like proteins (KIRL) include cell surface receptors of the LILR (ILT/LIR/MIR) family as well as FcαR, GPVI, Nkp46, OSCAR, Lair1 and Lair2 [25, 26]. The LILR family consists of both inhibitory and activating forms: LAIR-1 is an inhibitory receptor, LAIR2 is soluble, the others are activating. Like FcRs but unlike KIRs, the activating LILR receptors, as well as FcαR, OSCAR, NKP46, and GPVI associate with the FcRγ subunit [27–31]. However, the transmembrane regions (TM) of activating KIRLs are structurally different from those of FcRs.
Intriguingly, the repertoires of the FcR- and KIR-related proteins are different from one species to another in higher vertebrates. For instance, each of the six human and four mouse extracellular FCRLs has a unique domain architecture [22, 24]. Functional equivalents of KIRs in rodents are C-type lectin receptors of the Ly49 family . The mouse also lacks counterparts of FcαR and Lair-2 and has fewer LILR homologues described as PIRs [25, 26]. Profound differences in the KIR and FcR families have been also revealed between mammals and birds. Recent data show that the chicken genome has more than a hundred genes for KIR-like paired receptors known as CHIRs [33–35]. At the same time, a single FcR-related gene has been detected in this species [36, 37].
Comparison of the 3-D structure of membrane-proximal domains of FcγRII and KIR2D demonstrated their similar folding and prompted a suggestion that the two families may have had a common origin . This suggestion was made before identification of FCRLs. A later phylogenetic analysis did not provide solid support in favor of homology of five FCRL-characteristic Ig-domain subtypes with the two main domain subtypes of KIR-related receptors . Nevertheless, this idea of the common ancestry of the FcR and KIR families has been revived in modified form after the recent identification of a family of paired receptors called leukocyte immune-type receptors (LITR) in catfish . LITRs are composed of several domain subtypes some of which resemble the FcR-characteristic domains D1D2, whereas others are more similar to KIRL domains. Such composition of Ig domains has been proposed as ancestral for the tetrapod paired receptors . However, weak sequence similarity between LITR and KIRL Ig domains, as well as the absence of the D3, D4 and D5 type domains in LITRs did not allow conclusions about definite relationships of the teleostean proteins with the higher vertebrate FcR and KIR families.
The fact that all known FcR- and KIR-related receptors are primarily expressed in cells of the immune system is consistent with their contribution to the immune regulation. However, the exact functions of all FCRLs and many KIRLs are still unknown. The ambiguity of the structural and functional evolution of FcR- and KIR-related receptors complicates our understanding of how this regulatory network is organized, which factors drives its species-specific changes and ultimately how it may be manipulated for therapeutic purposes.
To gain deeper insight into the evolution of the immunoregulation through paired receptors, we studied the FcR family in the amphibians Xenopus laevis and Xenopus tropicalis. The data obtained provide evidence in favor of a common origin of the FcR and KIR families and their ceaseless diversification that appears to be caused by very strong natural selection pressure.
The FcR family is expanded in amphibians
In the mammalian genomes, FcR-like genes are linked to the genes of the CD2 family. Thus, the FCRL6 gene is a part of a conserved syntenic group that includes the SLAMF8 (BLAME), IgSF9, DUSP23, TAGLN2 and NGES1 genes . We found a similar group in the scaffold 626 that contains 16 XFL genes (Fig. 1). The XFL gene 626_16 is located between two CD2-like genes, one of which shows the greatest similarity to mammalian SLAMF8 (BLAME). Xenopus homologs of the mammalian IgSF9, DUSP23, TAGLN2 and NGES1 genes are also tightly linked. This conserved synteny taken together with the results of the sequence comparisons (See additional data file 1) and phylogenetic analysis (see below) strongly supports the assignment of the XFL genes as true amphibian homologs of the mammalian FcR genes.
The XFL receptors are subdivided into two classes
Comparison of the X. tropicalis genomic and EST sequences showed that the TM1-containing proteins lack a cytoplasmic tail or have a very short one. In every such case, the TM region and the tail are encoded by the same exon. Genes with a TM2 have longer cytoplasmic tails. These tails contain one to three tyrosine-based motifs matching the consensus YxxL/I/V and are encoded by exons separated from TM exons. All these structural features are compatible with the subdivision of the XFL receptors into two functional classes, activating and inhibitory. The number of genes for each class is roughly similar and they are intermingled in the genome (Fig. 1).
The EC regions of XFLs are highly diverse
A remarkable feature of the predicted XFL proteins is an extraordinary diversity of their domain architectures. Overall 24 different combinations of six structural subtypes of the Ig-like domains in the EC regions of XFLs were found. Five subtypes were assigned to D1-D5 subtypes previously identified in the mammalian members of the FcR family. A sixth subtype appears to be Xenopus-specific as no close relatives were found in the protein databases. The D3 subtype domain is most frequent and may be repeated up to 7 times in a protein. Although we cannot rule out that some of the gene predictions result from genome assembly artifacts, we found high similarity between the expressed and genomic sequences. The EST-genome comparisons showed the absence of two exons in the genomic sequences. In both cases, close inspection demonstrated the presence of gaps in the corresponding genomic regions. Eleven of 13 cDNAs fully matched our gene models. This fact, together with the absence of gaps in many predicted genes and reiteration of certain domain architectures two or more times suggest a high degree of confidence in the proposed models. Among the predicted proteins there are typical pairs with identical ectodomains and distinct TM subtypes. (Fig. 1 and 2). The EC regions of 11 XFLs are composed of D1, D2, and D3 domains, like mammalian FcγRI. This is the only EC composition shared by the known mammalian and Xenopus FcR-like proteins. If we consider structural subtypes of the TM regions as distinct domains, up to 36 domain architectures may be distinguished among the XFL proteins, none of which are present among mammalian members of the FcR family.
Lineage-specific expansion of Xenopusand mammalian FcR families
The relationships among the XFL genes provide evidence for a complex pattern of family evolution in amphibians. Its detailed description is beyond the scope of the present paper and will be published separately. What is relevant to note here, is that the strong association of the amphibian sequences with each other does not necessarily correspond to high level of sequence similarity among them. The cumulative tree illustrates subdivision of the XFL D1, D2 and D3 domains into structural variants whose relationships with each other cannot be resolved. The D1, D2 and D3 domain subtypes fall into 15, 13 and 21 structural groups, respectively. The degree of sequence similarity among the group representatives (32–45% identical residues) is in the range of sequence similarity between XFL and mammalian FcR domains. In the case of D3, the diversity is mainly derived from a small number of genes located in the scaffolds 362, 435, 1131 and 1256. For instance, the extracellular parts of the predicted proteins 1131_3 and 1131_5 are composed of five D3 domains each. These domains are subdivided into four groups. Each of five D3 domains of the XFL 1256_2 represents a distinct structural variant producing a separate branch in the tree. On the other hand, more than 50 proteins encoded by the genes of the other scaffolds have one to seven D3 domains belonging to the same group (group 1). This group may be further subdivided into three main subgroups 1.1, 1.2 and 1.3 and a number of individual members based on the structure of the D2 and D1 domains. For instance, the proteins encoded by the genes on the scaffold 626 have very similar D3 domains but their D1 and D2 domains fall into 8 structural variants with poorly resolved relationships. This fact strongly suggests that intergenic exon recombination was a frequent event in the evolution of the XFL family. Of ten genes containing exons for the D4, D5 or D6 domain subtypes, nine belong to the subgroup 1.1 and one to the subgroup 1.3.
Experimental support of XFL diversity
To gain a deeper insight into structure and expression of the XFL genes, we studied this family in X. laevis, a close relative of X. tropicalis. In contrast to X. tropicalis that has a diploid genome, X. laevis is an allotetraploid species. The immune system of X. laevis is one of the most thoroughly studied among lower vertebrates [40–42]. Five different X. laevis cDNAs for XFL proteins were obtained from the IMAGE consortium and sequenced. More than 30 cDNAs, 11 of which were unique, were additionally cloned from several X. laevis cDNA libraries using screening with an exon encoding the D3 domain of group 1 as a probe. Of 16 distinct cDNAs, 9 were full-length, the others were truncated at the 5' end. Nine cDNAs encoded typical cell surface proteins containing TM2-like TM regions and cytoplasmic tails of varying length with one to three tyrosine-based motifs (Fig. 2). The amino acid sequences of two clones had short cytoplasmic tails. Their TM regions contained the NxxR motif and were assigned to the TM1 subtype. One cDNA clone encoded protein lacking TM but containing a typical cytoplasmic tail with two tyrosine-based motifs. Finally, four cDNAs coded for putative secreted proteins composed of the Ig-like domains only. At present, it is unclear whether or not the latter five clones represent alternative transcripts of genes encoding cell surface receptors.
As expected, the initial sequence comparisons demonstrated that most of X. laevis derived XFLs may be joined into group 1. Their D3 domains shared 65 to 95% identical residues with each other and with the X. tropicalis D3 domains of the group 1 receptors. These proteins were designated XFL1.1 – 1.14. As in the case of X. tropicalis, the X. laevis group 1 proteins showed variable degree of identity (35 to 85%) in their D1 and D2 domains. Two other proteins were designated XFL2 and XFL3. Their D3 domains shared 35–45% identical residues with each other and with the D3 domains of the group 1 proteins. According to the phylogenetic analysis (not shown), the X. laevis XFL2 and XFL3 genes were most similar to the X. tropicalis 435_1 and 1131_1, 2, 3 genes respectively.
X. laevisXFL genes are primarily expressed in lymphoid tissues
Variations in XFL expression in X. laevis adults (A) and tadpoles (T, stages 46–58).
TM1 facilitates XFL association with the FcRγ subunit
Comparative studies of mammals and chicken have revealed an unexpected structural and functional variability of the paired receptor families such as FCRLs and KIRLs [22, 25, 26, 34–37]. Studies have also indicated that the repertoires of these families have evolved in a species-specific manner. The evolutionary factors responsible for such diversity remain poorly understood. The recent description of LITRs as putative teleost counterparts of both FCRLs and KIRLs left many questions unanswered, since only a weak similarity of LITRs to the mammalian and avian receptors has been found [6, 44]. The present study fills the gap by extending the analysis of paired receptor families to amphibians, the most primitive branch of tetrapods.
In the diploid X. tropicalis we have identified at least 75 genes coding for paired FcR-like cell surface receptors. The mere fact of the family expansion is not unusual. Rapid evolutionary change of a gene content known as the "expansion-contraction" or "birth-and-death" process has been documented in many families of immunity-related receptors . What distinguishes the FcR family from many other paired receptor families is the extraordinary structural diversity of its members. Combinatorial joining of six Ig domain subtypes generates as many as 24 EC architectures. When we consider the TM subtypes as distinct domains, the number of the XFL domain architectures increases to 35. None of these variants are shared by either human or mouse homologs, although five Ig-domain subtypes are common for the Xenopus and mammalian proteins. Overall, 50 different domain architectures can be defined among human, mouse, and X. tropicalis FcR-related proteins.
Except for the D1- and D2-subtype domains no homologous structural elements were found between XFLs and catfish LITRs (not shown). Other Ig-domain subtypes composing EC of LITRs seem to be more similar to the KIRL domains. Such mixed domain composition has been suggested to predate the KIR and FcR families . The XFL data are consistent with the suggestions that the FcR and KIR families share evolutionary roots [33, 46]. A strong argument in favor of this model is the fact that activating FcRs use a peculiar TM module (TM1) to associate with FcRγ chain that is homologous to TMs of activating mammalian KIRLs. TM1 appears to be an ancestral element of the primordial FcR/KIR family that has been lost by CHIRs, classical FcRs and KIRs, but retained by XFLs as well as Xenopus and mammalian KIRLs.
Although available data do not allow inferring the structure of the KIRL and FCRL ancestor, it is clear that the family evolved by inter- and intragenic recombinations in a species-specific way. The former mechanism gave rapid change in the number of genes per family (birth-and-death), whereas the latter was responsible for extensive domain shuffling. The FcR-related receptors in different vertebrate species are similar in their subdivision into activating and inhibitory forms and predominant expression in lymphoid tissues. However, the ratio of inhibitory to activating members, the cellular distribution, and the exact amount and architecture of ectodomains are unique in each examined species.
What might be the evolutionary forces responsible for this degree of diversity common among the FcR- and KIR-related receptors, and XFLs in particular? We can try to answer this question by inference from the attributed function of the actual mammalian receptors, which is to regulate immune responses. Classical FcRs regulate B cell responses by binding to the IgG and IgE immune complexes, whereas KIRs, or at least their inhibitory forms, regulate NK cell function by binding specifically to MHC class I molecules. However, Ig-binding appears to be a secondary or (derived) specialization, since our previous  and present data together with the definition of a chicken IgY receptor as a member of the CHIR family  strongly argue that classical FcRs have emerged after the separation of mammals and birds. MHC-recognition as a potential ancient function of FCRLs/KIRLs is more attractive. The ability to interact with classical and non-classical MHC class I molecules is a feature of some KIRLs [11–13, 48–50], it has been also suggested for mammalian FCRLs  and catfish LITRs . From this point of view the diversification of FCRL/KIRLs may have been driven by the necessity to match the rapid evolution of MHC loci under pathogen pressure of, as it has been suggested for the KIR and Ly49 gene clusters [[32, 52] and ]. This may be the case for XFLs too as there are at least 20 non-classical MHC class I in X. laevis .
There are however some inconsistencies with this scenario. First, the scope of variability of domain architectures among FCRLs seems to be excessively high relative to MHC class I molecular structure. Second, the functions of mammalian KIRLs are not limited to MHC antigen-binding. Among ligands of these receptors, there are also collagens (GPVI and LAIR1), IgA (human FcαR), IgG (bovine FcγR2) and integrins (mouse Gp49B1) [55–59]. Human α1-B-glycoprotein, a distant secreted relative of KIRLs, binds to the cysteine-rich secretory protein 3 , while its opossum homolog is a snake venom metalloproteinase-neutralizing factor . Due to the independent expansion of KIR-related receptors in mammals, birds [34, 35] and amphibians [our unpublished data] it is difficult to determine which of these functions are truly ancient or of ancestral type. Finally, mouse Ly49 is a clear example of the self-MHC recognition served by receptors structurally different from KIRLs and FCRLs.
An alternative explanation for the extraordinary diversity of XFLs and other FcR- and KIR-related receptors may be that they are directly involved in innate immunity. Combinatorial diversity is a hallmark of the immune system and it is usually associated with recognition of pathogens. The capacity of paired receptors to directly bind to pathogens is well documented [62–66]. In the latest of these studies it has been found that mouse PIR-B, and its human relatives LILRB1 and LILRB3 recognize Staphylococcus aureus and modulate TLR-mediated inflammatory responses against this bacterium. These facts are usually interpreted in terms of adaptive coevolution of the microorganisms, which implies that the pathogen recognition is a secondary or derived function. However, the extensive variability of the FcR/KIR relatives raises the possibility that these receptors expanded primarily to fight pathogens, whereas the known immuno-regulatory functions may represent secondary acquisitions or specializations.
Depending on the nature of the pathogen and the signal properties of the receptors, it is clear that pathogen-receptor interaction may be either advantageous or detrimental for the host, and as such, may rapidly change the ratio of activating versus inhibitory receptors, as well as their respective amount and specificities. In this regard, a parallel may be drawn with the species-specific expansion of various receptor families in invertebrates that participate in innate immune responses [67, 68]. While it may be difficult to obtain direct evidence to support this scenario, it clearly deserves attention. The elucidation of the factors responsible for the diversification of the FcR- and KIR-related receptors may contribute to better understand their function and ultimately develop new therapies based on their immunoregulatory properties.
Our study shows that in two amphibian species Xenopus tropicalis and X. laevis, paired receptors have diversified into a large family of genes, XFLs, preferentially expressed in lymphoid tissues. The extracellular regions of these receptors are composed of one to eleven Ig-like domains belonging to six structural subtypes. A fraction of XFLs use a TM module (TM1) to associate with FcRγ signaling subunit. TM1 is highly similar to TMs of activating FcRγ-associating KIRLs. This fact strongly argues in favor of a common evolutionary origin of the FcR and KIR families. The variation in number and composition of distinct Ig-like and TM domain subtypes generates striking diversity of domain architectures among XFLs. Phylogenetic analysis shows that this diversity emerged in a lineage-specific manner. Classical FcRs and other known mammalian FcR-related proteins appear to be specific to mammals. The continual and extensive diversification of domain architectures in the FcR and KIR families indicates a strong selection pressure not completely consistent with the usual assumption that paired receptors have been primarily selected to regulate immune responses. We propose that FcR/KIR-related receptors might have primarily expanded as pathogen-recognizing components of innate immunity while their known physiological functions have been acquired later in a lineage-specific manner.
Adult and larval outbred Xenopus laevis were obtained from the X. laevis Research Resource for Immunobiology at the University of Rochester Medical Center . Larval development stages were determined according to Nieuwkoop and Faber . All animals were handled under strict laboratory and UCAR regulations. Adults and larvae were euthanized with 0.5% and 0.1% Tricaine methanesulfonate (TMS), respectively.
cDNA library construction and screening
cDNA libraries from 2 μg spleen total RNA from Xenopus laevis adults or froglets (stage 60–62) were constructed using SMART cDNA Library Construction Kit (Clontech). First strand cDNA was amplified using Advantage 2 RCR Enzyme System (Clontech). Size fractionation was achieved by separation on a sepharose columns and 0.5–4 kb cDNAs were ligated into lambdaTriplEx2 arms and then packed with GigapackIII Gold Cloning Kit (Stratagene). Libraries containing 106 independent recombinant clones were amplified. cDNA libraries from Xenopus laevis/gilli LG7 hybrids (from adult spleen or tadpole spleen and liver RNA) were kindly provided by Dr. Louis Du Pasquier (University of Basel, Switzerland). All four cDNA libraries described were screened using32P-labeled PCR fragment coding for the first D3 domain of XFL1.2 (279 bp) as described by Sambrook et al. . Plasmids containing cDNA inserts were recovered from isolated positive phages by in vivo excision. cDNAs were sequenced using an automated fluorescent sequencer ABI-Prizm 310 (Applied Biosystems).
GenBank accessions of cDNA clones
Xenopus EST cDNA clones dc12e01, dai46h06, daa24c04, dab24g06 and NISC_mp06d01 were obtained from the I.M.A.G.E. Consortium  through ATCC (USA) or Research Genetics Inc (USA), sequenced as described above and submitted to GenBank. Accession numbers for these cDNAs are [GenBank: AY293300], [GenBank: AY293303], [GenBank: AY293305], [GenBank: AY297106], and [GenBank: EF591296], respectively. [GenBank: AY293301], [GenBank: AY293302], [GenBank: AY293304], [GenBank: AY297104], [GenBank: AY297105], [GenBank: DQ367411], [GenBank: DQ367415] and [GenBank: EF431890–EF431893] accession numbers were assigned to cDNA sequences obtained through cDNA library screening.
Southern blot analysis
Genomic DNA from Xenopus erythrocytes was isolated as described by Sambrook et al.  and digested to completion with restriction endonucleases BamHI, HindIII or PvuII. The digested DNA (10 μg/lane) was separated on 1% agarose gel and transferred onto Zeta-probe nylon membranes (BioRad Laboratories) by the vacuum blotting technique in 0.4 M NaOH. Hybridizations with 32P-labeled probes were performed following the membrane manufacturer's recommendations. The probes were PCR amplified fragments coding for the first D3 domain of XFL1.2 (279 bp), D1 domain of XFL2 (215 bp) or D3 domain of XFL3 (239 bp).
RNA extraction, cDNA synthesis, and RT-PCR amplification
Tissue samples were homogenized in 0.8 mL of Trizol reagent (Invitrogen). Total RNA was extracted according to the manufacturer's protocol. A sample RNA pellet was resuspended in RNase free water and quantified with SmartSpec spectrophotometer (BioRad). 500 ng of quantified total RNA were used to synthesize cDNA with iScript first strand cDNA synthesis kit (BioRad) according to the manufacturer's protocol. Negative RT controls were run for each sample at the same time. cDNA and negative RT control samples were diluted three times to a final volume of 60 μl before proceeding to PCR amplification. For each PCR reaction (30 μl total volume) 3 μl of 2 mM dNTPs, 3 μl of 10× PCR buffer, 10 pmol of each primer, 2 U of Taq DNA polymerase (Life Technologies), and 1 μl of cDNA were used. Then tubes were set for 35 cycles: 45 sec at 95°C, 45 sec at 56–64°C and 30–90 sec at 72°C. The following primers were used for RT-PCR: XFL1.2 forward – 5' GGAAGCTATCAGTGCCAAACA 3', reverse – 5' TGAGTCTCCTGGGAGGACAGA 3', XFL1.7 forward – 5' ACACCAAAGAGGCTGCAGTTC 3', reverse – 5' GATGAGGAGCATCTTCATGGT 3', XFL1.8 forward – 5' ATCGCTATCGCTCTAATGGAGC 3', reverse – 5' CAGTCTCGTGAGATTCAGCCG 3', XFL1.10 – forward 5' GACCAAGTGGACATTGTTGTGC 3', reverse – 5' TTCTCCGGCCTGTCCACCTC 3', XFL1.11 forward – 5' CTCAGGATTCCATCCAAAGTG 3' reverse – 5' CTTGGTCCAGTCCCGCACTG 3', XFL1.12 forward – 5' AGATGCACCCGACAAGTGAAGA 3', reverse – 5' TCAGGACAGCCAGTGCTACTG 3', XFL3 forward – 5' CTACACAAGGATACAACCCTG 3', reverse – 5' TTCTTGGGCATCACCAGAGAG 3', and as internal control, β2M, forward – 5' CCCTTGTGGTGTAACTGTGCTC 3', reverse – 5' GCACACACCAATCAGAAAAAGGAC 3'. Negative (RT) controls were also performed with same primers to control for genomic DNA contamination.
Northern blot analysis
Total RNA (10 μg/lane) extracted and quantified as described above, was separated on 1% agarose gel with formaldehyde  and transferred onto Zeta-probe nylon membranes (BioRad Laboratories) by capillary transfer in 20 × SSC. Hybridization with 32P-labeled probe was performed at non-stringent conditions following the membrane manufacturer's recommendations. The probe was PCR amplified fragment coding for D3 domain of XFL1.5 (282 bp). As a control for RNA integrity a probe encoding X. laevis β-actin was used.
cDNA regions encoding an extracellular or extracellular plus transmembrane part of XFL2 (or XFL1.7) were cloned using primers with XmaI and PstI (or SalI) sites and ligated into pDisplay (Invitrogen) vector with an N-terminal HA epitope and with or without a C-terminal PDGFR transmembrane domain. The cDNA portions used were 45–809 bp or 45–938 bp for XFL2 cDNA [GenBank: AY293305] and 225–806 bp or 225–938 bp for XFL1.7 cDNA [GenBank: EF591296]. Complete coding region of X. laevis FcRγ cDNA [GenBank: EF431895] was cloned using primers with NheI and ApaI sites and ligated into pAP-Tag5 (GenHunter) vector with a C-terminal c-myc epitope.
Immunochemistry and flow cytometry
Constructions were transiently transfected into 293T cells using Unifectin 56 (IBCH, Moscow, Russia) according to the manufacturer's protocol. Seventy two hours after they were transfected, the cells were used for immunocytochemistry and cytometric analysis. For cell surface staining, transfected cells were washed twice with Wash Buffer (PBS, containing 1% FCS and 0.1% NaN3). The cells were first incubated with rabbit anti-HA (Sigma) (anti-hemagglutinin protein) in Wash Buffer for 30 min on ice. Cells were then washed three times with cold Wash Buffer and incubated with goat anti-rabbit Ig-FITC (BD Bioscience) in Wash Buffer for 30 min on ice. The cells were washed three times with Wash Buffer and analyzed using a microscope Axioscop 2 plus and FACSAria cytometer (BD Bioscience). For intracellular staining, transfected cells were smeared on glass slides, fixed with acetone and stained for FcRγ subunit with anti-c-myc monoclonal antibodies (Sigma) and goat anti-mouse IgG-TexasRed (Molecular Probes).
Nucleotide and amino acid sequences were analyzed using utilities at the NCBI , EMBL  and BCM  web sites. Amino acid sequences were aligned using Clustal utilities in the MEGA3 software  and shaded with the BoxShade program . The nucleotide and amino acid sequences of known genes were retrieved from the GenBank using ENTREZ at the NCBI . The genomic sequences were retrieved from and analyzed at the Ensembl [77, 78] or JGI web sites . Homology searches were performed using TBLASTN and TFASTA programs. The GeneScan program [80, 81] and the Webgene program package [82, 83] were used for the automated gene structure prediction. The XFL-surrounding genes were identified using the Ensembl and JGI utilities and were verified by reciprocal sequence comparisons at the NCBI website using the BLASTP program.
Phylogenetic analysis was performed with MEGA3  for nucleotide sequences of exons and amino acid sequences of domains after alignment with the CLUSTAL option. In certain cases, the CLUSTAL generated alignments were manually corrected. Phylogenetic trees were constructed using the bootstrap and interior branch tests of the Neighbor-joining (NJ) method with p-distances (proportion of differences). Minimum Evolution (ME) trees were essentially the same as the NJ trees in the major branching patterns.
List of abbreviations
classical leukocyte Fc Receptor
Killer cell Immunoglobulin Receptor
Leukocyte Immune-Type Receptors
Immunoreceptor Tyrosine-based Activating Motif
Immunoreceptor Tyrosine-based Inhibitory Motif
Immunoreceptor Tyrosine-based Switch motif
Expressed Sequence Tag
The expert animal husbandry provided by Tina Martin and David Albright is gratefully appreciated. We thank Drs. Nicolas Cohen and Andrea Bottaro for critical review of the manuscript. We would like also to thank Vadim Khaychuk for his active participation to this study.
Research was supported by the Russian Fund for Basic Research 05-04-49268 (A.M.N), U.S. Civilian Research and Development Foundation RUB1-2837-NO-06 (A.V.T, J.R), RAS Program "Origin and evolution of life" (A.V.T), NIH R01-CA-108982-02 (T.R.), NIH R24-AI-059830 and NSF MCB-0136536 (J.R.).
- Healy JI, Goodnow CC: Positive versus negative signaling by lymphocyte antigen receptors. Annu Rev Immunol. 1998, 16: 645-670. 10.1146/annurev.immunol.16.1.645.View ArticlePubMedGoogle Scholar
- Ravetch JV, Lanier LL: Immune inhibitory receptors. Science. 2000, 290: 84-89. 10.1126/science.290.5489.84.View ArticlePubMedGoogle Scholar
- Azumi K, De Santis R, De Tomaso A, Rigoutsos I, Yoshizaki F, Pinto MR, Marino R, Shida K, Ikeda M, Arai M, Inoue Y, Shimizu T, Satoh N, Rokhsar DS, Du Pasquier L, Kasahara M, Satake M, Nonaka M: Genomic analysis of immunity in a Urochordate and the emergence of the vertebrate immune system: "waiting for Godot". Immunogenetics. 2003, 55: 570-581. 10.1007/s00251-003-0606-5.View ArticlePubMedGoogle Scholar
- Vogel C, Teichmann SA, Chothia C: The immunoglobulin superfamily in Drosophila melanogaster and Caenorhabditis elegans and the evolution of complexity. Development. 2003, 130: 6317-6328. 10.1242/dev.00848.View ArticlePubMedGoogle Scholar
- Nikolaidis N, Klein J, Nei M: Origin and evolution of the Ig-like domains present in mammalian leukocyte receptors: insights from chicken, frog, and fish homologues. Immunogenetics. 2005, 57: 151-157. 10.1007/s00251-004-0764-0.PubMed CentralView ArticlePubMedGoogle Scholar
- Stafford JL, Bengten E, Du Pasquier L, McIntosh RD, Quiniou SM, Clem LW, Miller NW, Wilson M: A novel family of diversified immunoregulatory receptors in teleosts is homologous to both mammalian Fc receptors and molecules encoded within the leukocyte receptor complex. Immunogenetics. 2006, 58: 758-773.PubMed CentralView ArticlePubMedGoogle Scholar
- Cannon JP, Haire RN, Mueller MG, Litman RT, Eason DD, Tinnemore D, Amemiya CT, Ota T, Litman GW: Ancient divergence of a complex family of immune-type receptor genes. Immunogenetics. 2006, 58: 362-373. 10.1007/s00251-006-0112-7.PubMed CentralView ArticlePubMedGoogle Scholar
- Hawke NA, Yoder JA, Haire RN, Mueller MG, Litman RT, Miracle AL, Stuge T, Shen L, Miller N, Litman GW: Extraordinary variation in a diversified family of immune-type receptor genes. Proc Natl Acad Sci USA. 2001, 98: 13832-13837. 10.1073/pnas.231418598.PubMed CentralView ArticlePubMedGoogle Scholar
- Daeron M: Fc receptor biology. Annu Rev Immunol. 1997, 15: 203-234. 10.1146/annurev.immunol.15.1.203.View ArticlePubMedGoogle Scholar
- Nimmerjahn F, Ravetch JV: Fcγ receptors: old friends and new family members. Immunity. 2006, 24: 19-28. 10.1016/j.immuni.2005.11.010.View ArticlePubMedGoogle Scholar
- Campbell KS, Colonna M: Human natural killer cell receptors and signal transduction. Int Rev Immunol. 2001, 20: 333-370.View ArticlePubMedGoogle Scholar
- Moretta L, Moretta A: Killer immunoglobulin-like receptors. Curr Opin Immunol. 2004, 16: 626-633. 10.1016/j.coi.2004.07.010.View ArticlePubMedGoogle Scholar
- Lanier LL: NK cell recognition. Annu Rev Immunol. 2005, 23: 225-274. 10.1146/annurev.immunol.23.021704.115526.View ArticlePubMedGoogle Scholar
- Hatzivassiliou G, Miller I, Takizawa J, Palanisamy N, Rao PH, Iida S, Tagawa S, Taniwaki M, Russo J, Neri A, Cattoretti G, Clynes R, Mendelsohn C, Chaganti RS, Dalla-Favera R: IRTA1 and IRTA2, novel immunoglobulin superfamily receptors expressed in B cells and involved in chromosome 1q21 abnormalities in B cell malignancy. Immunity. 2001, 14: 277-289. 10.1016/S1074-7613(01)00109-1.View ArticlePubMedGoogle Scholar
- Davis RS, Wang YH, Kubagawa H, Cooper MD: Identification of a family of Fc receptor homologs with preferential B cell expression. Proc Natl Acad Sci USA. 2001, 98: 9772-9777. 10.1073/pnas.171308498.PubMed CentralView ArticlePubMedGoogle Scholar
- Mechetina LV, Najakshin AM, Volkova OY, Guselnikov SV, Faizulin RZ, Alabyev BY, Chikaev NA, Vinogradova MS, Taranin AV: FCRL, a novel member of the leukocyte Fc receptor family possesses unique structural features. Eur J Immunol. 2002, 32: 87-96. 10.1002/1521-4141(200201)32:1<87::AID-IMMU87>3.0.CO;2-#.View ArticlePubMedGoogle Scholar
- Guselnikov SV, Ershova SA, Mechetina LV, Najakshin AM, Volkova OY, Alabyev BY, Taranin AV: A family of highly diverse human and mouse genes structurally links leukocyte FcR, gp42 and PECAM-1. Immunogenetics. 2002, 54: 87-95. 10.1007/s00251-002-0436-x.View ArticlePubMedGoogle Scholar
- Davis RS, Li H, Chen CC, Wang YH, Cooper MD, Burrows PD: Definition of an Fc receptor-related gene (FcRX) expressed in human and mouse B cells. Int Immunol. 2002, 14: 1075-1083. 10.1093/intimm/dxf074.View ArticlePubMedGoogle Scholar
- Davis RS, Stephan RP, Chen CC, Dennis G, Cooper MD: Differential B cell expression of mouse Fc receptor homologs. Int Immunol. 2004, 16: 1343-1353. 10.1093/intimm/dxh137.View ArticlePubMedGoogle Scholar
- Chikaev NA, Bykova EA, Najakshin AM, Mechetina LV, Volkova OY, Peklo MM, Shevelev AY, Vlasik TN, Roesch A, Vogt T, Taranin AV: Cloning and characterization of the human FCRL2 gene. Genomics. 2005, 85: 264-272. 10.1016/j.ygeno.2004.10.017.View ArticlePubMedGoogle Scholar
- Wilson TJ, Presti RM, Tassi I, Overton ET, Cella M, Colonna M: FcRL6, a new ITIM-bearing receptor on cytolytic cells, is broadly expressed by lymphocytes following HIV-1 infection. Blood. 2007, 109: 3786-3793. 10.1182/blood-2006-06-030023.View ArticlePubMedGoogle Scholar
- Davis RS: Fc receptor-like molecules. Annu Rev Immunol. 2007, 25: 525-560. 10.1146/annurev.immunol.25.022106.141541.View ArticlePubMedGoogle Scholar
- Ehrhardt GR, Leu CM, Zhang S, Aksu G, Jackson T, Haga C, Hsu JT, Schreeder DM, Davis RS, Cooper MD: Fc receptor-like proteins (FCRL): immunomodulators of B cell function. Adv Exp Med Biol. 2007, 596: 155-162.View ArticlePubMedGoogle Scholar
- Maltais LJ, Lovering RC, Taranin AV, Colonna M, Ravetch JV, Dalla-Favera R, Burrows PD, Cooper MD, Davis RS: New nomenclature for Fc receptor-like molecules. Nat Immunol. 2006, 7: 431-432. 10.1038/ni0506-431.View ArticlePubMedGoogle Scholar
- Martin AM, Kulski JK, Witt C, Pontarotti P, Christiansen FT: Leukocyte Ig-like receptor complex (LRC) in mice and men. Trends Immunol. 2002, 23: 81-88. 10.1016/S1471-4906(01)02155-X.View ArticlePubMedGoogle Scholar
- Kelley J, Walter L, Trowsdale J: Comparative genomics of natural killer cell receptor gene clusters. PLoS Genet. 2005, 1: 129-139. 10.1371/journal.pgen.0010027.View ArticlePubMedGoogle Scholar
- Morton HC, Herik-Oudijk van den IE, Vossebeld P, Snijders A, Verhoeven AJ, Capel PJ, Winkel van de JG: Functional association between the human myeloid immunoglobulin A Fc receptor (CD89) and FcR γ chain. Molecular basis for CD89/FcR γ chain association. J Biol Chem. 1995, 270: 29781-29787. 10.1074/jbc.270.50.29781.View ArticlePubMedGoogle Scholar
- Taylor LS, McVicar DW: Functional association of FcεRIγ with arginine(632) of paired immunoglobulin-like receptor (PIR)-A3 in murine macrophages. Blood. 1999, 94: 1790-1796.PubMedGoogle Scholar
- Nakajima H, Samaridis J, Angman L, Colonna M: Human myeloid cells express an activating ILT receptor (ILT1) that associates with Fc receptor γ-chain. J Immunol. 1999, 162: 5-8.PubMedGoogle Scholar
- Berlanga O, Tulasne D, Bori T, Snell DC, Miura Y, Jung S, Moroi M, Frampton J, Watson SP: The Fc receptor γ-chain is necessary and sufficient to initiate signalling through glycoprotein VI in transfected cells by the snake C-type lectin, convulxin. Eur J Biochem. 2002, 269: 2951-2960. 10.1046/j.1432-1033.2002.02969.x.View ArticlePubMedGoogle Scholar
- Merck E, Gaillard C, Gorman DM, Montero-Julian F, Durand I, Zurawski SM, Menetrier-Caux C, Carra G, Lebecque S, Trinchieri G, Bates EE: OSCAR is an FcRγ-associated receptor that is expressed by myeloid cells and is involved in antigen presentation and activation of human dendritic cells. Blood. 2004, 104: 1386-1395. 10.1182/blood-2004-03-0850.View ArticlePubMedGoogle Scholar
- Yokoyama WM, Plougastel BF: Immune functions encoded by the natural killer gene complex. Nat Rev Immunol. 2003, 3: I304-316. 10.1038/nri1055.View ArticleGoogle Scholar
- Dennis G, Kubagawa H, Cooper MD: Paired Ig-like receptor homologs in birds and mammals share a common ancestor with mammalian Fc receptors. Proc Natl Acad Sci USA. 2000, 97: 13245-13250. 10.1073/pnas.230442897.PubMed CentralView ArticlePubMedGoogle Scholar
- Viertlboeck BC, Habermann FA, Schmitt R, Groenen MA, Du Pasquier L, Gobel TW: The chicken leukocyte receptor complex: a highly diverse multigene family encoding at least six structurally distinct receptor types. J Immunol. 2005, 175: 385-393.View ArticlePubMedGoogle Scholar
- Laun K, Coggill P, Palmer S, Sims S, Ning Z, Ragoussis J, Volpi E, Wilson N, Beck S, Ziegler A, Volz A: The leukocyte receptor complex in chicken is characterized by massive expansion and diversification of immunoglobulin-like Loci. PLoS Genet. 2006, 2: e73-10.1371/journal.pgen.0020073.PubMed CentralView ArticlePubMedGoogle Scholar
- Taylor AI, Gould HJ, Sutton BJ, Calvert RA: The first avian Ig-like Fc receptor family member combines features of mammalian FcR and FCRL. Immunogenetics. 2007, 59: 323-328. 10.1007/s00251-007-0195-9.View ArticlePubMedGoogle Scholar
- Fayngerts SA, Najakshin AM, Taranin AV: Species-specific evolution of the FcR family in endothermic vertebrates. Immunogenetics. 2007, 59: 493-506. 10.1007/s00251-007-0208-8.View ArticlePubMedGoogle Scholar
- Kim MK, Huang ZY, Hwang PH, Jones BA, Sato N, Hunter S, Kim-Han TH, Worth RG, Indik ZK, Schreiber AD: Fcγ receptor transmembrane domains: role in cell surface expression, γ chain interaction, and phagocytosis. Blood. 2003, 101: 4479-4484. 10.1182/blood.V101.11.4479.View ArticlePubMedGoogle Scholar
- Kumar S, Tamura K, Nei M: MEGA3: Integrated software for Molecular Evolutionary Genetics Analysis and sequence alignment. Brief Bioinform. 2004, 5: 150-163. 10.1093/bib/5.2.150.View ArticlePubMedGoogle Scholar
- Du Pasquier L, Schwager J, Flajnik MF: The immune system of Xenopus. Annu Rev Immunol. 1989, 7: 251-275.View ArticlePubMedGoogle Scholar
- Robert J, Cohen N: Evolution of immune surveillance and tumor immunity: studies in Xenopus. Immunol Rev. 1998, 166: 231-243. 10.1111/j.1600-065X.1998.tb01266.x.View ArticlePubMedGoogle Scholar
- Du Pasquier L, Robert J, Courtet M, Mussmann R: B-cell development in the amphibian Xenopus. Immunol Rev. 2000, 175: 201-213. 10.1111/j.1600-065X.2000.imr017501.x.View ArticlePubMedGoogle Scholar
- Cohen N, Dimarzo S, Rollins-Smith L, Barlow E, Vanderschmidt-Parson S: The ontogeny of allo tolerance and self-tolerance in larval Xenopus laevis. Metamorphosis. Edited by: Balls M, Bowns M. 1985, Oxford: Clarendon Press, 388-Google Scholar
- Stafford JL, Wilson M, Nayak D, Quiniou SM, Clem LW, Miller NW, Bengtén E: Identification and characterization of a FcR homolog in an ectothermic vertebrate, the channel catfish (Ictalurus punctatus). J Immunol. 2006, 177: 2505-17.View ArticlePubMedGoogle Scholar
- Nei M, Rooney AP: Concerted and birth-and-death evolution of multigene families. Annu Rev Genet. 2005, 39: 121-152. 10.1146/annurev.genet.39.073003.112240.PubMed CentralView ArticlePubMedGoogle Scholar
- Stafford JL, Bengten E, Du Pasquier L, Miller NW, Wilson M: Channel catfish leukocyte immune-type receptors contain a putative MHC class I binding site. Immunogenetics. 2007, 59: 77-91. 10.1007/s00251-006-0169-3.View ArticlePubMedGoogle Scholar
- Viertlboeck BC, Schweinsberg S, Hanczaruk MA, Schmitt R, Du Pasquier L, Herberg FW, Göbel TW: The chicken leukocyte receptor complex encodes a primordial, activating, high-affinity IgY Fc receptor. Proc Natl Acad Sci USA. 2007, 104: 11718-23. 10.1073/pnas.0702011104.PubMed CentralView ArticlePubMedGoogle Scholar
- Manavalan JS, Rossi PC, Vlad G, Piazza F, Yarilina A, Cortesini R, Mancini D, Suciu-Foca N: High expression of ILT3 and ILT4 is a general feature of tolerogenic dendritic cells. Transpl Immunol. 2003, 11: 245-258. 10.1016/S0966-3274(03)00058-3.View ArticlePubMedGoogle Scholar
- Brown D, Trowsdale J, Allen R: The LILR family: modulators of innate and adaptive immune pathways in health and disease. Tissue Antigens. 2004, 64: 215-225. 10.1111/j.0001-2815.2004.00290.x.View ArticlePubMedGoogle Scholar
- Takai T: A Novel Recognition System for MHC Class I Molecules Constituted by PIR. Adv Immunol. 2005, 88: 161-192.View ArticlePubMedGoogle Scholar
- Davis RS, Dennis G, Odom MR, Gibson AW, Kimberly RP, Burrows PD, Cooper MD: Fc receptor homologs: newest members of a remarkably diverse Fc receptor gene family. Immunol Rev. 2002, 190: 123-36. 10.1034/j.1600-065X.2002.19009.x.View ArticlePubMedGoogle Scholar
- Trowsdale J, Parham P: Mini-review: defense strategies and immunity-related genes. Eur J Immunol. 2004, 34: 7-17. 10.1002/eji.200324693.View ArticlePubMedGoogle Scholar
- Khakoo SI, Rajalingam R, Shum BP, Weidenbach K, Flodin L, Muir DG, Canavez F, Cooper SL, Valiante NM, Lanier LL, Parham P: Rapid evolution of NK cell receptor systems demonstrated by comparison of chimpanzees and humans. Immunity. 2000, 12: 687-698. 10.1016/S1074-7613(00)80219-8.View ArticlePubMedGoogle Scholar
- Flajnik MF, Kasahara M, Shum BP, Salter-Cid L, Taylor E, Du Pasquier L: A novel type of class I gene organization in vertebrates: a large family of non-MHC-linked class I genes is expressed at the RNA level in the amphibian Xenopus. Embo J. 1993, 12: 4385-4396.PubMed CentralPubMedGoogle Scholar
- Clemetson JM, Polgar J, Magnenat E, Wells TN, Clemetson KJ: The platelet collagen receptor glycoprotein VI is a member of the immunoglobulin superfamily closely related to FcαR and the natural killer receptors. J Biol Chem. 1999, 274: 29019-29024. 10.1074/jbc.274.41.29019.View ArticlePubMedGoogle Scholar
- Lebbink RJ, de Ruiter T, Adelmeijer J, Brenkman AB, van Helvoort JM, Koch M, Farndale RW, Lisman T, Sonnenberg A, Lenting PJ, Meyaard L: Collagens are functional, high affinity ligands for the inhibitory immune receptor LAIR-1. J Exp Med. 2006, 203: 1419-1425. 10.1084/jem.20052554.PubMed CentralView ArticlePubMedGoogle Scholar
- Monteiro RC, Winkel Van De JG: IgA Fc receptors. Annu Rev Immunol. 2003, 21: 177-204. 10.1146/annurev.immunol.21.120601.141011.View ArticlePubMedGoogle Scholar
- Zhang G, Young JR, Tregaskes CA, Sopp P, Howard CJ: Identification of a novel class of mammalian Fc γ receptor. J Immunol. 1995, 155: 1534-1541.PubMedGoogle Scholar
- Castells MC, Klickstein LB, Hassani K, Cumplido JA, Lacouture ME, Austen KF, Katz HR: gp49B1-α(v)β3 interaction inhibits antigen-induced mast cell activation. Nat Immunol. 2001, 2: 436-442.PubMedGoogle Scholar
- Udby L, Sorensen OE, Pass J, Johnsen AH, Behrendt N, Borregaard N, Kjeldsen L: Cysteine-rich secretory protein 3 is a ligand of alpha1B-glycoprotein in human plasma. Biochemistry. 2004, 43: 12877-12886. 10.1021/bi048823e.View ArticlePubMedGoogle Scholar
- Neves-Ferreira AG, Perales J, Fox JW, Shannon JD, Makino DL, Garratt RC, Domont GB: Structural and functional analyses of DM43, a snake venom metalloproteinase inhibitor from Didelphis marsupialis serum. J Biol Chem. 2002, 277: 13129-13137. 10.1074/jbc.M200589200.View ArticlePubMedGoogle Scholar
- Arase H, Mocarski ES, Campbell AE, Hill AB, Lanier LL: Direct recognition of cytomegalovirus by activating and inhibitory NK cell receptors. Science. 2002, 296: 1323-1326. 10.1126/science.1070884.View ArticlePubMedGoogle Scholar
- Arnon TI, Achdout H, Lieberman N, Gazit R, Gonen-Gross T, Katz G, Bar-Ilan A, Bloushtain N, Lev M, Joseph A, Kedar E, Porgador A, Mandelboim O: The mechanisms controlling the recognition of tumor- and virus-infected cells by NKp46. Blood. 2004, 103: 664-672. 10.1182/blood-2003-05-1716.View ArticlePubMedGoogle Scholar
- Zebhauser R, Kammerer R, Eisenried A, McLellan A, Moore T, Zimmermann W: Identification of a novel group of evolutionarily conserved members within the rapidly diverging murine Cea family. Genomics. 2005, 86: 566-580. 10.1016/j.ygeno.2005.07.008.View ArticlePubMedGoogle Scholar
- Kuespert K, Pils S, Hauck CR: CEACAMs: their role in physiology and pathophysiology. Curr Opin Cell Biol. 2006, 18: 565-571. 10.1016/j.ceb.2006.08.008.View ArticlePubMedGoogle Scholar
- Nakayama M, Underhill DM, Petersen TW, Li B, Kitamura T, Takai T, Aderem A: Paired Ig-like receptors bind to bacteria and shape TLR-mediated cytokine production. J Immunol. 2007, 178: 4250-4259.View ArticlePubMedGoogle Scholar
- Flajnik MF, Du Pasquier L: Evolution of innate and adaptive immunity: can we draw a line?. Trends Immunol. 2004, 25: 640-644. 10.1016/j.it.2004.10.001.View ArticlePubMedGoogle Scholar
- Schulenburg H, Boehnisch C, Michiels NK: How do invertebrates generate a highly specific innate immune response?. Mol Immunol. 2007, 44: 3338-3344. 10.1016/j.molimm.2007.02.019.View ArticlePubMedGoogle Scholar
- Xenopus laevis Research Resource for Immunobiology. [http://www.urmc.rochester.edu/smd/mbi/xenopus/index.htm]
- Nieuwkoop PD, Faber J: Normal Table of X. laevis laevis (Daudin). 1994, New York and London: Garland Publishing, IncGoogle Scholar
- Sambrook T, Fritsch EF, Maniatis T: Molecular cloning: a laboratory manual. 1989, Plainview, NY: Cold Spring Harbor Laboratory PressGoogle Scholar
- Lennon G, Auffray C, Polymeropoulos M, Soares MB: The I.M.A.G.E. Consortium: an integrated molecular analysis of genomes and their expression. Genomics. 1996, 33: 151-152. 10.1006/geno.1996.0177.View ArticlePubMedGoogle Scholar
- National Center for Biotechnology Information. [http://www.ncbi.nlm.nih.gov]
- European Bioinformatics Institute. [http://www2.ebi.ac.uk]
- Baylor College of Medicine Human Genome Sequencing Center. [http://www.hgsc.bcm.tmc.edu]
- Boxshade server. [http://www.ch.embnet.org/software/BOX_form.html]
- Ensembl Genome Browser. [http://www.ensembl.org]
- Hubbard T, Barker D, Birney E, Cameron G, Chen Y, Clark L, Cox T, Cuff J, Curwen V, Down T, Durbin R, Eyras E, Gilbert J, Hammond M, Huminiecki L, Kasprzyk A, Lehvaslaiho H, Lijnzaad P, Melsopp C, Mongin E, Pettett R, Pocock M, Potter S, Rust A, Schmidt E, Searle S, Slater G, Smith J, Spooner W, Stabenau A, Stalker J, Stupka E, Ureta-Vidal A, Vastrik I, Clamp M: The Ensembl genome database project. Nucleic Acids Res. 2002, 30: 38-41. 10.1093/nar/30.1.38.PubMed CentralView ArticlePubMedGoogle Scholar
- Joint Genome Institute Eukaryotic Genomics. [http://genome.jgi-psf.org]
- The New GENSCAN Web Server. [http://genes.mit.edu/GENSCAN.html]
- Burge C, Karlin S: Prediction of complete gene structures in human genomic DNA. J Mol Biol. 1997, 268: 78-94. 10.1006/jmbi.1997.0951.View ArticlePubMedGoogle Scholar
- WebGene Home Page. [http://www.itb.cnr.it/sun/webgene/]
- Milanesi L, D'Angelo D, Rogozin IB: GeneBuilder: interactive in silico prediction of gene structure. Bioinformatics. 1999, 15: 612-621. 10.1093/bioinformatics/15.7.612.View ArticlePubMedGoogle 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.