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Genome-wide review of transcriptional complexity in mouse protein kinases and phosphatases
Genome Biology volume 7, Article number: R5 (2006)
Abstract
Background
Alternative transcripts of protein kinases and protein phosphatases are known to encode peptides with altered substrate affinities, subcellular localizations, and activities. We undertook a systematic study to catalog the variant transcripts of every protein kinase-like and phosphatase-like locus of mouse http://variant.imb.uq.edu.au.
Results
By reviewing all available transcript evidence, we found that at least 75% of kinase and phosphatase loci in mouse generate alternative splice forms, and that 44% of these loci have well supported alternative 5' exons. In a further analysis of full-length cDNAs, we identified 69% of loci as generating more than one peptide isoform. The 1,469 peptide isoforms generated from these loci correspond to 1,080 unique Interpro domain combinations, many of which lack catalytic or interaction domains. We also report on the existence of likely dominant negative forms for many of the receptor kinases and phosphatases, including some 26 secreted decoys (seven known and 19 novel: Alk, Csf1r, Egfr, Epha1, 3, 5,7 and 10, Ephb1, Flt1, Flt3, Insr, Insrr, Kdr, Met, Ptk7, Ptprc, Ptprd, Ptprg, Ptprl, Ptprn, Ptprn2, Ptpro, Ptprr, Ptprs, and Ptprz1) and 13 transmembrane forms (four known and nine novel: Axl, Bmpr1a, Csf1r, Epha4, 5, 6 and 7, Ntrk2, Ntrk3, Pdgfra, Ptprk, Ptprm, Ptpru). Finally, by mining public gene expression data (MPSS and microarrays), we confirmed tissue-specific expression of ten of the novel isoforms.
Conclusion
These findings suggest that alternative transcripts of protein kinases and phosphatases are produced that encode different domain structures, and that these variants are likely to play important roles in phosphorylation-dependent signaling pathways.
Background
The completion of the human and mouse genome sequences has provided the means to study the total mammalian gene complement in silico [1, 2]. Subsequently, global transcription surveys have been used to provide a more accurate estimate of the transcribed regions of the genome and the structure of genes. According to these studies, 40-60% of loci in higher eukaryotes are predicted to generate alternative transcripts via the use of alternative splice junctions, transcription start sites, and transcription termination sites [3–6].
By generating alternative transcripts, the functional output of the locus can be increased. Alternative transcripts can encode variant peptides with altered stability, localization, and activity [7, 8]. They can change the 5' and 3' untranslated regions of the message, which are known to be important in translation efficiency and mRNA stability [9–11], and in the case of alternative promoters they allow a gene to be switched on under multiple transcriptional controls [12, 13].
One area in which the impact of alternative transcripts has not been fully assessed is in systems biology. In recent years workers have moved toward modeling entire biologic systems, including signal transduction pathways and transcriptional networks [14]. Key tasks are to define the components of the system in question and then to determine how they interact. The role played by alternative transcripts and peptide isoforms generated by regulated transcriptional events in these systems has not been addressed [14, 15].
One such system is that regulating protein phosphorylation states. In addition to regulatory subunits, inhibitors, activators, and scaffolds, protein phosphorylation is regulated by two classes of enzymes: the protein kinases, which attach phosphate groups; and the protein phosphatases, which remove them. Reports of alternative isoforms of these proteins are common and for some loci such as HGK, which contains nine reported alternatively spliced modules, the number of variants themselves is impressive [16]. For these enzymes variants that alter or remove the catalytic domain are known to affect activity and substrate specificity [17, 18]. In others, such as the fibroblast growth factor receptors Fgfr1 and 2, restricted expression of splice variants with altered ligand binding domains allow cells to elicit tissue specific responses [19].
To examine the impact of alternative transcripts on this system we undertook a systematic study of the variant transcripts of mouse protein kinase and protein phosphatase loci; we refer to these collectively as the phosphoregulators. To do this we exploited the wealth of mouse full-length cDNA sequences generated by the Functional Annotation of Mouse 3 (FANTOM3) project [20] and all available public mouse cDNA sequences. We report on the frequency of alternative forms, domain content, and the levels of support for each isoform, and we speculate on the role these isoforms are likely to play in the regulation of protein phosphorylation.
Results
The kinase-like and phosphatase-like loci of mouse
Before attempting to catalogue the alternative transcripts of mouse protein kinase-like and phosphatase-like loci of mouse, we first reviewed all putative kinases and phosphatases identified in the literature and combined the results with new sequences identified by InterProScan predictions of open reading frames (ORFs) from the FANTOM3, GenBank, and Refseq databases (Sequnces used in the analysis were all those available at September 2004) [20–23].
In 2003 we estimated that there are 561 kinase-like genes in mouse, using the domain predictor InterProScan [21] to identify sequences containing kinase-like motifs in all available cDNA sequences and all ENSEMBL gene predictions [22]. In 2004 an alternative estimate of 540 kinase-like genes was reported [23, 24]. We undertook a systematic review of both data sets and now revise the estimate down to 527 kinase-like loci, and there is transcriptional evidence for 522 of these. We removed all false positives introduced by the ProSite kinase domain motif (PSOO107), and duplicates introduced by partial ENSEMBL gene predictions. Similarly, for the phosphatase-like loci of mouse we revised the estimate to 160 loci, and there is transcriptional evidence for 158 of these. We summarize the evidence for each locus in Additional data file 1.
The FANTOM3 data set identified three new kinase-like loci. These are I0C0018M10 (hypothetical protein kinase; GenBank:AK145348), Gm655 (hypothetical serine/threonine kinase; GenBank:AK163219), and a second transcriptionally active copy of the TP53-regulating kinase (Trp53rk; GenBank:AK028411). The kinase-like loci I0C0018M10 and Gm655 appear to represent transcriptionally active pseudogenes with truncated kinase domains. Despite this, the transcripts are not predicted to undergo nonsense mediated decay (NMD), and as such they may still produce truncated kinase-like peptides of unknown biology. The second copy of Trp53rk appears to have arisen from local tandem duplication on chromosome 2. Both copies are supported by expressed sequence tag (EST) and capped analysis of gene expression (CAGE) evidence and have intact ORFs. Although the syntenic copy of Trp53rk (Genbank:AK167662) lies within a region of chromosome 2 that shares the same gene order as a region of human chromosome 20 between the Sl2a10 and Slc13a3 loci, the new locus is adjacent to Arfgef2 locus and is not conserved in human.
Identifying the transcripts of the phosphoregulator transcriptome
As part of the FANTOM3 project, a transcript clustering algorithm was developed that grouped sequences with shared splice sites, transcription start sites, or transcription termination sites into transcriptional frameworks [20]. These frameworks effectively define the set of cDNA sequences observed for each locus. Using a representative cDNA sequence for each phosphoregulator, we extracted the corresponding framework cluster, the set of all observed cDNA sequences (ESTs and full-length sequences from FANTOM, GenBank, and RefSeq; November 2004), and the genomic mappings for each cDNA (5', 3', and splice junctions). Additionally, high throughput 5' end sequences from CAGE [25] and 5'-3' DiTag sequences (Genomic Sciences Center [20] and gene identification signature [26] DiTag sequences) were also mapped to these framework clusters and used to provide additional support for alternative 5' and 3' ends. The cDNA resources are summarized in Tables 1 and 2.
By combining these cDNA and tag resources, we reviewed the level of support for each transcript. The ORF of each full-length transcript was also assessed to determine whether it encoded a variant peptide and whether the variant had an altered domain structure. These results were compiled into a database and can be viewed online [27]. This web-based interface permits visualization of each locus in its genomic context and provides an annotated view of each transcript with access to peptide and domain predictions (Additional data file 2).
Alternatively spliced transcripts of the phosphoregulator transcriptome
With all alternative transcripts for the mouse phosphoregulators identified, we then searched for the level of support for each alternative transcription start site, termination site, and splice junction event. For the analysis of splice junctions we clustered pairs of splice donors and acceptors based on their genomic coordinates (Additional data file 3). When a given donor mapped to multiple acceptors, or acceptor to multiple donors, the junction was considered alternative. For an alternative junction to be considered reliable we required there to be two independent cDNA sequences for each alternative (for example, two sequences showing Donor1 spliced to Acceptor1 and two sequences showing Donor1 spliced to Acceptor2). Using these criteria, 75% of the multi-exon phosphoregulator loci appear to undergo alternative splicing. If we consider only single cDNAs as evidence then the frequency increases to 91%. We also compared this with the frequency of alternative splice junction usage in the entire set of transcriptional frameworks (31,541) and a class of loci with a reported high level of alternative splice forms, namely the zinc finger proteins [28]. For these sets, 39% of all multi-exon frameworks and 80% of zinc finger protein encoding frameworks have at least two cDNAs supporting an alternative splice form (53% and 93% for one cDNA; Additional data file 6).
Alternative transcription initiation and termination of phosphoregulator transcripts
Because of the nature of cDNA synthesis and the possibility of 5' and 3' truncated sequences, we modified the metric used to identify loci with alternative 5' and 3' terminal exons. Alternative initiation and termination were assessed in two steps. First, terminal exon sequences for all multi-exon loci were clustered on the basis of identical first donor sites (for 5' exons) or final acceptor sites (for 3' exons). Secondly, support for transcription start sites (TSS) and transcription termination sites (TTS) within these terminal exons was determined by clustering the terminal 20 bases of 5' and 3' end sequences (cDNA, EST, and tag resources; Table 2) into tag clusters.
By combining these two analyses, tag cluster count was used to provide supporting evidence for each 5' and 3' exon. To identify transcripts with well supported terminal exons, we considered a threshold of five counts to represent reliability. Using this threshold 612 multi-exon loci had well supported 5' terminal exons, and of these 272 (44%) had multiple 5' terminal exons. Similarly, for 3' terminal exons 611 loci had well supported 3' ends, and of these 229 (37%) had multiple 3' terminal exons. Increasing the requirements to a more conservative threshold of 50 tags revealed that 10.7% and 7.3% of these loci used alternative 5' and 3' exons, respectively (Table 3 and Additional data file 4).
In addition, we examined how many of the terminal exons with 50 counts or more had multiple TSS or TTSs within them. Requiring 10 counts to be considered a reliable TSS/TTS, 16% of 5' exons and 47% of 3' exons had more than one reliable TSS/TTS (10 or more counts for each). In the case of the 3' exons, changes in untranslated region length may be functionally relevant or they may just reflect the need for multiple poly-adenylation signals for an inefficient termination process.
Alternative 5' exon usage
With an estimate that alternative 5' terminal exons exist for 45% of multi-exon loci, we sought to evaluate the gene structures that allowed alternative 5' exon usage and attempted to determine whether the predicted alternative starts could be verified by 5'-RACE (5' rapid amplification of cDNA ends). To evaluate the structure of variant 5' exon usage, we separated the set into three classes of alternative transcript (Figure 1): transcripts that start from mutually exclusive first exons; transcripts that originate from intronic regions of the genome and then continue on to the next exon; and transcripts that appear to initiate within coding exons of a longer canonical form. To demonstrate the relative frequency of each class we focused only on those loci with 50 counts or more for both starting exons (Table 4). The majority of these alternative starts was due to mutually exclusive starting exons, and more than half of these were within the first intron. None of the examples with 50 counts or more started within coding exons of a longer canonical form; the best supported example of this was a clone of Fgfr2 that starts within the 11th exon of the canonical form and is supported by 48 tags (GenBank:AK081810).
To test whether the threshold of counts we applied was biologically relevant and whether cDNAs starting from within internal exons of longer transcripts are 5' truncations or genuine transcription start sites, we tested a panel of 19 alternative 5' exons with 5'-RACE. As a technical point, an enzymatic oligo-cap method independent of the FANTOM3 cap-trapper technique was used to ensure that only full-length capped 5' ends of mRNAs were surveyed [29, 30]. Predicted alternative 5' exons were confirmed for all classes tested. Additionally, and perhaps surprisingly, transcript starts with counts below five were validated including alternative transcripts with only one cDNA as evidence (Acvr1c [GenBank:AK049089] and Ptprg [GenBank:AK144283]). The results of the 5'-RACE analysis and the primer sequences used are provided in Additional data file 5.
Alternative peptides and domain structures
The analyses described above used all available cDNA evidence, with many variants only detected as partial EST sequences. Although ESTs provide a deeper sampling of alternative transcripts, interpretation of variants found in these sequences is confounded by their bias to the termini of transcripts (due to EST sequence generation providing short reads coming from 5' and 3' termini of cDNAs) and problems associated with sequence quality arising from single sequencing reads for each EST. We therefore chose a more conservative approach and used only full-length cDNAs to examine alternative peptides encoded from these loci.
A total of 5,877 phosphoregulator full-length transcripts from FANTOM, GenBank, and RefSeq were filtered based on the following: redundant entries that shared the same splice junctions, TSS, and TTS were removed; transcripts with stop codons more than 50 bases upstream of their final splice junction were excluded as NMD candidates [10] (Additional data file 8); and transcripts with 5' or 3' truncated ORFs were removed. This left a core set of 639 loci with 2,358 transcripts that were predicted to encode 1,469 full-length peptides (Table 5).
The domain structure of these 1,469 peptides was then reviewed using InterProScan domain predictions [21]. Using these predictions we identified 1,080 unique combinations of domains and locus. Figure 2 summarizes the number of variant transcripts, peptides, and domain combinations observed within the phosphoregulator set. A major feature of this figure is the disparity between the number of alternative transcripts and alternative peptides. Eighty-four per cent of loci are identified as having multiple transcript isoforms, whereas 63% of loci have multiple peptides and only 44% have multiple domain combinations.
In a further analysis we compared the domain content of the 1,080 domain combinations with the domain complements of each locus (that is, the set of predicted domains from all transcripts of a given locus). Variant peptides were then classified into the following four classes: 582 peptides with the full complement; 147 variants with disrupted or missing accessory domains; 161 variants with disrupted or missing catalytic domains; and 190 with disruptions to both accessory and catalytic domains (Additional data files 9 and 11). These classifications were then added as annotations in the web interface. A list of all variants detected is provided in Additional data file 11. In Tables 6 and 7 we highlight two subsets of interest: 18 noncatalytic variants that maintain the full set of accessory domains, and 25 catalytic variants that remove all accessory domains. The accessory domains lost from these catalytic variants are largely interaction domains (PDZ, SH2, doublecortin, PKC PE/DAG, pleckstrin homology). The role of variants consisting only of accessory domains is unknown.
Alternative forms of the receptor kinases and phosphatases
A class of phosphoregulators with multiple reported examples of transcriptionally derived dominant negative products is the receptor kinases. For these loci, multiple soluble secreted and membrane-tethered decoy receptors lacking catalytic domains have been described. We therefore undertook a computational review of transcripts of the 56 tyrosine receptor kinase, 12 serine/threonine receptor kinase, and 21 tyrosine receptor phosphatase loci of mouse to determine their potential to generate dominant negative gene products.
Conceptually, receptors are divided into two parts: the extracellular ligand-binding portion of the peptide and the intracellular catalytic portion. Signal peptide and transmembrane domains are both required for correct targeting and anchoring of type I membrane peptides within the plasma membrane. Each transcript variant was reviewed for changes in the predicted peptide that would affect localization signals or catalytic domains.
We identified two classes of ORFs encoding catalytically inactive variant peptides predicted to compete for ligand in the extracellular space (Table 8): 13 potential tethered decoys possessing intact transmembrane and extracellular domains, of which four had been reported previously in the literature; and 26 potential soluble secreted proteins possessing the ligand-binding domain and no transmembrane domain, of which seven had previously been reported.
The review of these loci also identified a further two classes of potential variants. Alternative TSS within loci frequently generated transcripts encoding peptides that lacked amino-terminal features. Many of these variants lacked the signal peptide (n = 13), whereas others lacked both the signal peptide and the transmembrane domain (n = 12). We refer to these two variant types as 'TMcatalytic' and 'catalytic', respectively. TMcatalytic forms resemble the type 2 transmembrane phosphoregulators such as the nonreceptor phosphatase Ptpn5, which localizes to the endoplasmic reticulum [31], and the kinase Nok, which localizes to cytoplasmic puncta [32]. We identified 13 of the TMcatalytic class and 12 of the catalytic class (Table 8).
We then compiled supporting evidence for expression of these transcripts in normal mouse tissues (Additional data file 7). All but two of the secreted and tethered forms are generated by alternative 3' ends hence we searched for microarray probes and MPSS (massively parallel signature sequencing) signatures diagnostic of these alternative 3' ends. The Mouse Transcriptome Project (trans-NIH with Lynx MPSSâ„¢ technology) provides MPSS gene expression data from a panel of 85 tissue samples [33, 34]. Similarly, the GNF (Genomics Institute of the Novartis Research Foundation) gene atlas provides gene expression data using Affymetrix arrays for a panel of 61 normal mouse tissues [35, 36]. The Mouse Transcriptome Project provided support for nine of the secreted proteins, four tethered decoys, and one cytoplasmic catalytic form. The GNF gene atlas provided support for an additional four secreted and one tethered form.
MPSS also provided evidence for tissue-specific expression of nine novel isoforms: seven secreted forms (Epha1 in bladder, Epha7 in brain, Flt3 in spinal cord, Ptprd in hypothalamus, Ptprg in brain, eye, white fat, and lung, Ptpro in brain, and Ptprs in thalamus); one tethered form of Axl in kidney; and one catalytic form of Ptprg in brain, kidney, white fat, and cartilage. Similarly, the GNF gene atlas provided evidence for tissue-specific expression of two novel secreted isoforms: Ptprk in blastocysts and Ptprg in brain. For the catalytic and TMcatalytic forms of Ptpre and Ptpro, CAGE tags confirmed their reported restriction to the macrophage lineage [37, 38].
As part of this review, we identified four novel transcripts for the colony stimulating factor 1 receptor Csfr1. Three of these transcripts were predicted to encode potential tethered isoforms, whereas a fourth encoded a potential secreted version of the receptor (Figure 3a).
In order to determine the likelihood of efficient expression and subcellular targeting of these novel variants, we undertook transient expression assays of the Csf1r variants in mammalian cells and confirmed that the truncated tethered forms are targeted, as predicted, to the plasma membrane whereas the form lacking the predicted transmembrane domain exhibits a secretory pathway-like localization (Figure 3).
Finally, we sought to monitor the expression of all coding transcripts from the Csf1r locus to determine whether these transcripts are expressed at biologically relevant levels. Csf1r is known to be expressed in cells of the macrophage and dendritic lineages [39], and the three of the variants we identified as cDNAs were derived from CD11c-positive dendritic cells (two from the NOD mouse strain and one from C57BL/6J). Isoform-specific quantitative reverse transcriptase polymerase chain reaction (RT-PCR) for each variant was performed on a panel of CD11c-positive dendritic cells, peritoneal macrophages, and bone marrow derived macrophages from black 6 mice. All three tethered forms were detected in dendritic cells and bone marrow derived macrophages, but only tethered form 1 (GenBank:AK155565) was detected at levels similar to those of the full-length receptor (Figure 4 and Additional data file 12).
Discussion
In this report we focused on a computational review of transcriptional complexity in the protein kinase and phosphatase loci of mouse and on the impact of transcript diversity on the probable function of the variant peptides they encode. We found that 75% of phosphoregulator loci have alternative splice forms with multiple sequences as evidence that ranks these loci close to the 80% level of zinc finger proteins in terms of transcriptional complexity. A large amount of this complexity is generated by the use of alternative 5' and 3' exons, and we found that 45% of multi-exon loci had well supported alternative 5' exons. These estimates were made using all available mouse transcript evidence, but deeper sampling of the transcriptome would probably increase these estimates further.
Functional relevance of variant transcripts
A number of workers have reported estimates of transcript diversity based on EST evidence [4–6, 40]. To address the functional relevance of alternative transcripts detected as partial EST sequence, workers have used counts of independent ESTs and conservation between species as computational filters for artefacts. Conservation is likely to identify biologically valid splice variants, but lack of conservation cannot be assumed to mean that a variant is artefact. One paper reported that 14-53% of alternative junctions in human are not conserved in mouse [41], whereas in a more extreme example it was reported that only 10% in a set of 19,156 human loci have a conserved alternative splice junction in mouse [42]. Currently, the limited depth of transcript sequencing in both mouse and human makes it difficult to determine the true level of conserved alternative transcripts. As more high-throughput transcriptome sequence becomes available it will be important to address the number of variants in humans and their conservation in mouse.
Another estimate of functional relevance is to examine expression and tissue specificity of the transcript isoforms. Some authors have attempted to use EST evidence to assess expression levels and tissue specificity of isoforms [43, 44]. For tissue specificity and cross-species conservation analyses, EST sequences are confounded by the problems of limited depth of sequence, tissue sampling, and quality of annotations. In this report we mined the mouse transcriptome project MPSS signatures and the GNF gene expression atlas probes to provide supporting evidence for 19 of the variant receptors identified. However, a deeper sequence sampling with new technologies such as splice junction arrays and libraries enriched for alternative transcripts will be needed if we are to address expression of variants at a transcriptome wide level [45, 46].
These technologies will be needed to address a number of important questions. Are the variant transcripts expressed at biologically relevant levels or is there a certain level of biologic noise in the transcriptional machinery? Do variant transcripts from the same locus exhibit tissue restricted patterns distinct from other isoforms, or are they coexpressed? Are variants inducible or constitutively expressed?
Functional diversity of variant receptor kinases and phosphatases
In the case of receptor kinases and phosphatases, dominant negative forms that are capable of competing for ligand and downregulating signal transduction were previously reported (sFlt1 [47], Erbb2 [48], Epha7 [49], and Ntrk2 [50]). Mechanistically, cells expressing a tethered decoy would be predicted to fail to respond to ligand, whereas secreted forms have the potential to dampen the response in multiple cells by competing for ligand. Among the receptors we identified, 26 were putative secreted forms, of which 19 were novel to any species, and 13 were tethered forms, of which nine were novel. For example, we identified four catalytically inactive colony stimulating factor 1 receptor (Csf1r) variants in mouse, three of which were membrane associated whereas the fourth, lacking the transmembrane domain, appeared to localize to the secretory pathway (Figure 3). While we were preparing this paper, a report describing a soluble secreted form of Csf1r in goldfish showed that the peptide was detectable in fish serum and produced by macrophages, and was able to inhibit macrophage proliferation in vitro [51].
We also reported probable dominant negative forms for eight of the 14 Eph receptors in mouse (Epha1, 3, 4, 5, 6, 7 and 10, and EphB1) and a review of sequences from other species revealed probable dominant negative forms for three of the remaining six (EphB2 [52], secreted Epha8 [GenBank:NM_001006943, GenBank:BC072417], and tethered EphB4 [GenBank:AB209644]). A role for these variants in cell migration is supported by observations for Epha7 variants and the catalytically inactive Ephb6 [18, 49]. Cells expressing tethered Epha7 variants exhibit suppressed tyrosine phosphorylation of the full-length form and altered migration behaviour to adhesion instead of repulsion toward ephrin-A5 ligand expressing cells [49].
Other tyrosine receptor kinase families enriched with probable dominant negative variants were the Vegf receptor family (Flt1, Flt3, Kdr, and Pdgfra) and the insulin receptor related genes (Alk, Insrr, and Insr). Alternative splicing of exon 11 of the insulin receptor in human has previously been reported [53], but no native secreted splice forms have yet been described.
Proteolytic processing for many of these receptors split the protein into a soluble extracellular fragment that is capable of binding ligand and an intracellular catalytic fragment (Erbb4 [54], Fgfr1 [55], and Tie2 [56]). The alternative transcripts we describe here are likely to mimic these forms and have similar activities, but the use of alternative transcription provides an independent mechanism of control in generating these products.
Assessing the impact of variant domain structures
By using the concept of a domain complement for each locus we identified variants with alternative catalytic potential or changes in accessory domains. Most of the accessory domains are targeting, regulatory, or interaction domains. Two loci that we highlight in Tables 6 and 7 and in Additional data file 2 are Araf and Dcamkl1. In both cases, noncatalytic peptide forms consisting of only the accessory domains are produced by the use of alternative 3' ends. The Dcamkl1 locus uses both alternative promoters and terminators to generate three major forms, each with different predicted activities and localizations: the full length peptide targeted to the microtubules by the doublecortin domain; a form lacking the catalytic domain; and a form lacking the doublecortin domain [57] that resembles the active fragment released from microtubules on proteolytic cleavage by calpain [58]. Although the identification of an alternative 3' end in Araf may explain the two protein isoforms detected in mitochondria [59], the role of a noncatalytic isoform consisting of the Ras binding domain (InterPro:IPR003116) and the protein kinase C phorbol ester/DAG binding domain (InterPro:IPR002219) is unknown. Similarly, the role played by a noncatalytic form of Dcamkl1 consisting of only the microtubule associating doublecortin domain (InterPro:IPR003533) is unknown. A likely possibility is that these forms compete with the full-length version for associations with third party interactors.
Other variants
A number of other variant transcripts occur within the phosphoregulator loci. Alternative splicing of mutually exclusive exons within the catalytic domain of Mapk14 (p38 and CSBP1/2) [60] are known to affect activity and substrate specificity. Variants of the related kinases Mapk9 and Mapk10 also appear to use mutually exclusive exons within the catalytic domain.
Another class of variant transcripts is predicted to undergo NMD. Using the '50 base rule', transcripts with premature termination codons more than 50 bases upstream of a final exon junction were filtered out as NMD candidates targeted for destruction [10]. However, NMD candidates may still represent a functional output of a locus. Recently, the term RUST (regulated unproductive splicing and translation) has been coined to describe the use of unproductive splicing to regulate protein expression [61].
Despite this, a number of the transcripts that break the 50 base rule still appear to represent full length messages with short predicted introns in their 3' untranslated regions. We identify four loci Rps6ka4, Map3k1, Epha4, and Pxk that have predicted final introns in their 3' untranslated regions of 126, 1555, 3239, and 114 bases, respectively. All NMD predictions are provided in Additional data file 8 and online [27].
Peptide variants represent additional components of the system
In cases in which peptide variations disrupt or remove an accessory domain, constitutively active [62–64] or dominant negative [65] forms may be generated. Similarly, peptides with disruptions to the catalytic domain have been recorded as dominant negative forms (for example, Mask [66] and Mapk7 [67]). In loci such as Dcamkl1, which contain a targeting domain, the subcellular localization of the peptide can be changed and may allow access to different pools of substrate [57].
These variants not only add to the peptide diversity of the phosphorylation system, but they are also intrinsically related to the function of all peptides generated from the same locus. They are likely to compete for the same ligands and substrates, but by changes in the peptide their activity, stability, localization, and regulation may be altered. This opens up the possibility that transcriptional control of the mix of isoforms present within a system is used as an additional mechanism to regulate the overall status of the system.
Transcriptional control
Regulated use of alternative promoters, terminators, and splice junctions allows a cell to produce either alternative peptides with slightly different activities or the same peptide in a different context. In some cases these choices are 'hard wired' during differentiation, such that one isoform is produced in a particular cell type (for example, fibroblast growth factor receptor splice variants in mesenchyme and epithelium [19]) whereas in others the changes are inducible (for example, Prkcb isoforms on insulin treatment [68]). In the case of the inducible changes there is evidence for a coupling of signal transduction to transcript isoform. For Prkcb, the inclusion of the PKC-betaII exon, within 15 minutes of insulin treatment, has been shown to be via activation of Akt signaling and phosphorylation of SRp40 [69]. Phosphorylation of transcription factors, spliceosome components, Histone H3, and the carboxyl-terminal domain of RNA polymerase all point to a closer role for phosphorylation in regulation of transcript isoform [70–73].
Conclusion
Systematic analysis of every protein kinase and phosphatase of mouse has revealed that for most of these loci alternative transcripts are generated. The use of alternative transcription initiation, termination, and splice junction sites offers three mechanisms for controlling the functional output of the locus. We provide evidence for alternative 5' and 3' end usage and document a large set of variant peptides and domain structures. Finally, we suggest that, for complete understanding of signal transduction and protein phosphorylation in general, these forms must be considered components of the network and that regulation of these forms in development and on challenge indicates a fundamental coupling of transcriptional control with protein phosphorylation.
Materials and methods
Locus based visualization of phosphoregulators
For each locus a three frame view combined genomic and transcript centric views from FANTOM3 [20, 74] with a summary table used to navigate between variant transcripts (Additional data file 2). The summary table provides Isoform transcript and peptide identifiers, representative nucleotide accession number, coding potential, InterPro predictions, 5' and 3' support, and NMD predictions. The comments field gives a simple description of how the transcript differs from other forms. The genomic view is provided by FANTOM3 and is an implementation of the generic genome browser [75]. Additional features mapped to the genome include InterPro predictions [21] and GNF symatlas expression data probes [36]. Mapping of peptide features was carried out in two parts. First, the nucleotide coordinates of the feature relative to the transcript were determined; these were then transposed to their genomic locations based on transcript to genome alignments provided by FANTOM3 [20, 76]. The interface and custom GFF tracks are available online [27]. Nucleotide accession numbers for each locus are provided online and can be queried by Mouse Genome Database locus and synonyms [77, 78].
Mapping of transcript 5' and 3' ends
The 5' and 3' ends of full-length cDNA, ESTs, and tag sequences from CAGE [25], Genomic Sciences Center DiTags [20], and gene identification signature DiTags [26] were used to provide supporting evidence for alternative 5' and 3' ends.
Conceptually, two levels of clustering were carried out to provide end support. Tag clustering grouped transcripts that shared TSS or TTS based on the overlap of their termini (20 bases) relative to the UCSC mm5 (Mus musculus 5, Mouse genome assembly, build 33) assembly of the mouse genome sequence (May 2004) [76]. Exon clusters grouped transcripts that shared the same first donor site or final acceptor site for 5' and 3' exon clusters, respectively.
Exon junction clustering
The genomic mappings of every multi-exon cDNA and EST were extracted from the FANTOM3 analysis [20, 76]. Exon junction support was provided by a count of the number of sequences that shared the same splice combination. Low quality alignments were filtered out by removal of exons mapping to the genome with under 99% sequence identity.
Tissue specific expression of receptor isoforms
The nucleotide sequences of the probes used in the GNF gene atlas arrays and the MPSS signature sequences were aligned to transcript sequences using BLAST (basic local alignment search tool) [33, 35]. Diagnostic probes were defined as probes that matched only the variant transcript isoform and had a perfect match for the entire length of the probe.
Nonsense mediated decay
NMD predictions were made by calculating the distance between the last splice site and the stop codon of full length predicted. Splice sites were determined by alignments to mm5. A total of 191 sequences for which the final splice site was more than 50 bases from the stop codon were flagged as putative NMD targets [10]. A number of the final splice sites were suspected as artefactual alignments with very short predicted intron lengths. To remove these artefacts a further requirement was imposed that the minimum intron length had to be greater than 80 bases. This reduced the set to 120 predicted NMD candidates. These predictions were reviewed manually. All NMD predictions are provided in Additional data file 8 and online [27].
Feature based assessment of protein function
For each locus, InterProscan predictions were used to assess changes in domain content of each variant [21]. Using this we determined the domain content for each full length transcript and then used predictions for every transcript to determine the domain complement for each locus. Domain changes were assessed by comparing the domain content of the predicted peptide with the domain complement of the locus. Additionally, for the receptor set, TMHMM and signalP predictions were used to detect transmembrane domains and signal peptides [79, 80]. Variant receptors that lacked the transmembrane domain but retained the signal peptide were classified as probably secreted decoy receptors, whereas transmembrane forms lacking the catalytic domain were classified as probably tethered decoys.
Subcellular localization of Csf1r (c-fms) variant transcripts
cDNA clones of variant Csf1 receptor (DDBJ:AK171241, DDBJ: AK155565, DDBJ:AK171543, and DDBJ:AK146069) were subcloned into a mammalian expression vector. HeLa cells were transiently transfected for 16 hours, formalin fixed, and processed for immunofluorescence. Recombinant Csf1r was detected using the rat monoclonal AFS98 antibody [81].
Validation of Csf1r (c-fms) variant transcripts
RNA was harvested from cells using the RNeasy kit (Qiagen, Melbourne, VIC, Australia). First strand synthesis was carried out on 1 μg total RNA using Superscript III (Invitrogen, Melbourne, VIC, Australia). Real-time PCR was performed with the SYBR qPCR SuperMix-UDG kit (Invitrogen). Twenty microliter reactions were performed in an ABI 7700 (Applied Biosystems, Melbourne, VIC, Australia), with 35 cycles of 1 minute elongation at 60°C; all reactions were performed in duplicate. Relative fold change of full length and variant were calculated using the delta Ct (cycle threshold) method.
5'-RACE experiments
5'-RACE experiments were performed using an enzymatic oligo-capping method [29] that ensures capture of full-length capped 5' ends (Generacer; Invitrogen). Reverse transcription using random hexamers was carried out to generate 12 libraries from six tissues (total RNA if possible from male and female mice was mixed for the following tissues: whole body embryo day 10 [e10d], whole body embryo day 17.5 [e17.5d], adult whole brain [brain], adult testis [testis], neonate 2 days thymus [neo2d_thymus], and adult liver [liver]). Nested primers running back towards the 5' ends of the transcripts were then used in conjunction with a primer against the 5' ligated oligo to amplify the 5' ends of these cDNAs. The PCR products were then cloned into the pCR4-TOPO vector and 24 colonies from each library sequenced. The resulting sequences were then aligned to the genome by BLAT and the mappings are available as an optional GFF track in the genome viewer (these are provided with the primer sequences in the Additional data file 5).
Additional data files
The following additional data files are available (and also on the associated website [27]): an Excel file listing all protein kinase-like and protein phosphatase-like loci considered in this study (sheet 1 lists the 522 kinase-like and 158 phosphatase-like loci with detected transcripts; sheets 2 and 3 provide details of the entries retired because of false positives, and duplications in reported by Forrest [22] and Caenepeel [23] and their coworkers; and sheet 4 provides a list of predicted transcripts still awaiting confirmation by cDNA evidence; Additional data file 1); a pdf file containing a pair of screen captures demonstrating visualization of the Araf and Dcamkl1 protein kinase loci (note alternative well supported 5' and 3' exons that structurally divide the loci; Additional data file 2); Excel file listing alternative splice junctions identified in the set and the cDNA accession numbers that support them (Additional data file 3); a zip file containing four Excel files (5' exon, 3' exon, TSS and TTS clusters; Additional data file 4); a zip file containing a PowerPoint presentation with genomic views of the 5'-RACE results and an Excel file summarizing the results and the primer sequences used (Additional data file 5); an Excel file of zinc finger loci with levels of support for alternative transcripts (Additional data file 6); an Excel file that contains supporting evidence for the variant receptors discussed in the results, providing links to MPSS, GNF, and CAGE for transcriptional evidence, links into PubMed for known examples, and other supporting evidence (Additional data file 7); a pdf file containing a listing of clones predicted as NMD candidates (Additional data file 8); an Excel file containing the domain combinations, complements, and raw Interpro results for all full-length transcripts in the phosphoregulator set (Additional data file 9); a pdf file showing a graph of the number of loci with alternative splice junctions, and 5' terminal or 3' terminal exons (for a junction to be considered variant it requires two independent cDNAs - one cDNA flags the sequence as potential; for terminal exons a count of five events is required for it to be considered variant - two events flag the sequence as potential; Additional data file 10); an Excel file summarizing the predicted domain combination and variant type for the 1473 full-length ORFs identified in the domain structure analysis (Additional data file 11); a zip file containing an Excel file summarizing the quantitative real-time PCR results for the Csf1r receptor variants and a pdf file containing additional localization images for the secreted isoform (Additional data file 12).
References
Venter JC, Adams MD, Myers EW, Li PW, Mural RJ, Sutton GG, Smith HO, Yandell M, Evans CA, Holt RA, et al: The sequence of the human genome. Science. 2001, 291: 1304-1351. 10.1126/science.1058040.
Waterston RH, Lindblad-Toh K, Birney E, Rogers J, Abril JF, Agarwal P, Agarwala R, Ainscough R, Alexandersson M, An P, et al: Initial sequencing and comparative analysis of the mouse genome. Nature. 2002, 420: 520-562. 10.1038/nature01262.
Roberts GC, Smith CW: Alternative splicing: combinatorial output from the genome. Curr Opin Chem Biol. 2002, 6: 375-383. 10.1016/S1367-5931(02)00320-4.
Modrek B, Resch A, Grasso C, Lee C: Genome-wide detection of alternative splicing in expressed sequences of human genes. Nucleic Acids Res. 2001, 29: 2850-2859. 10.1093/nar/29.13.2850.
Kim H, Klein R, Majewski J, Ott J: Estimating rates of alternative splicing in mammals and invertebrates. Nat Genet. 2004, 36: 915-916. 10.1038/ng0904-915. author reply 916-917.
Modrek B, Lee C: A genomic view of alternative splicing. Nat Genet. 2002, 30: 13-19. 10.1038/ng0102-13.
Wang L, Duke L, Zhang PS, Arlinghaus RB, Symmans WF, Sahin A, Mendez R, Dai JL: Alternative splicing disrupts a nuclear localization signal in spleen tyrosine kinase that is required for invasion suppression in breast cancer. Cancer Res. 2003, 63: 4724-4730.
Kamatkar S, Radha V, Nambirajan S, Reddy RS, Swarup G: Two splice variants of a tyrosine phosphatase differ in substrate specificity, DNA binding, and subcellular location. J Biol Chem. 1996, 271: 26755-26761. 10.1074/jbc.271.43.26755.
Iacono M, Mignone F, Pesole G: uAUG and uORFs in human and rodent 5'untranslated mRNAs. Gene. 2005, 349: 97-105. 10.1016/j.gene.2004.11.041.
Hillman RT, Green RE, Brenner SE: An unappreciated role for RNA surveillance. Genome Biol. 2004, 5: R8-10.1186/gb-2004-5-2-r8.
Grzybowska EA, Wilczynska A, Siedlecki JA: Regulatory functions of 3'UTRs. Biochem Biophys Res Commun. 2001, 288: 291-295. 10.1006/bbrc.2001.5738.
Landry JR, Mager DL, Wilhelm BT: Complex controls: the role of alternative promoters in mammalian genomes. Trends Genet. 2003, 19: 640-648. 10.1016/j.tig.2003.09.014.
Ayoubi TA, Van De Ven WJ: Regulation of gene expression by alternative promoters. Faseb J. 1996, 10: 453-460.
Oda K, Matsuoka Y, Funahashi A, Kitano H: A comprehensive pathway map of epidermal growth factor receptor signaling. Mol Syst Biol. 2005, msb4100014: E1-E17.
Papin JA, Hunter T, Palsson BO, Subramaniam S: Reconstruction of cellular signalling networks and analysis of their properties. Nat Rev Mol Cell Biol. 2005, 6: 99-111. 10.1038/nrm1570.
Wright JH, Wang X, Manning G, LaMere BJ, Le P, Zhu S, Khatry D, Flanagan PM, Buckley SD, Whyte DB, et al: The STE20 kinase HGK is broadly expressed in human tumor cells and can modulate cellular transformation, invasion, and adhesion. Mol Cell Biol. 2003, 23: 2068-2082. 10.1128/MCB.23.6.2068-2082.2003.
Zhang J, Gross SD, Schroeder MD, Anderson RA: Casein kinase I alpha and alpha L: alternative splicing-generated kinases exhibit different catalytic properties. Biochemistry. 1996, 35: 16319-16327. 10.1021/bi9614444.
Matsuoka H, Obama H, Kelly ML, Matsui T, Nakamoto M: Biphasic functions of the kinase-defective EphB6 receptor in cell adhesion and migration. J Biol Chem. 2005, 280: 29355-29363. 10.1074/jbc.M500010200.
Kettunen P, Karavanova I, Thesleff I: Responsiveness of developing dental tissues to fibroblast growth factors: expression of splicing alternatives of FGFR1, -2, -3, and of FGFR4; and stimulation of cell proliferation by FGF-2, -4, -8, and -9. Dev Genet. 1998, 22: 374-385. 10.1002/(SICI)1520-6408(1998)22:4<374::AID-DVG7>3.0.CO;2-3.
Carninci P, Kasukawa T, Katayama S, Gough J, Frith MC, Maeda N, Oyama R, Ravasi T, Lenhard B, Wells C, et al: The transcriptional landscape of the mammalian genome. Science. 2005, 309: 1559-1563. 10.1126/science.1112014.
Quevillon E, Silventoinen V, Pillai S, Harte N, Mulder N, Apweiler R, Lopez R: InterProScan: protein domains identifier. Nucleic Acids Res. 2005, W116-W120. 10.1093/nar/gki442.
Forrest AR, Ravasi T, Taylor D, Huber T, Hume DA, Grimmond S: Phosphoregulators: protein kinases and protein phosphatases of mouse. Genome Res. 2003, 13: 1443-1454. 10.1101/gr.954803.
Caenepeel S, Charydczak G, Sudarsanam S, Hunter T, Manning G: The mouse kinome: discovery and comparative genomics of all mouse protein kinases. Proc Natl Acad Sci USA. 2004, 101: 11707-11712. 10.1073/pnas.0306880101.
The Mouse Kinome. [http://www.kinase.com/mouse/]
Shiraki T, Kondo S, Katayama S, Waki K, Kasukawa T, Kawaji H, Kodzius R, Watahiki A, Nakamura M, Arakawa T, et al: Cap analysis gene expression for high-throughput analysis of transcriptional starting point and identification of promoter usage. Proc Natl Acad Sci USA. 2003, 100: 15776-15781. 10.1073/pnas.2136655100.
Ng P, Wei CL, Sung WK, Chiu KP, Lipovich L, Ang CC, Gupta S, Shahab A, Ridwan A, Wong CH, et al: Gene identification signature (GIS) analysis for transcriptome characterization and genome annotation. Nat Methods. 2005, 2: 105-111. 10.1038/nmeth733.
Genomic view of every phosphoregulator. [http://variant.imb.uq.edu.au]
Ravasi T, Huber T, Zavolan M, Forrest A, Gaasterland T, Grimmond S, Hume DA: Systematic characterization of the zinc-finger-containing proteins in the mouse transcriptome. Genome Res. 2003, 13: 1430-1442. 10.1101/gr.949803.
Suzuki Y, Sugano S: Construction of a full-length enriched and a 5'-end enriched cDNA library using the oligo-capping method. Methods Mol Biol. 2003, 221: 73-91.
Carninci P, Kvam C, Kitamura A, Ohsumi T, Okazaki Y, Itoh M, Kamiya M, Shibata K, Sasaki N, Izawa M, et al: High-efficiency full-length cDNA cloning by biotinylated CAP trapper. Genomics. 1996, 37: 327-336. 10.1006/geno.1996.0567.
Bult A, Zhao F, Dirkx R, Sharma E, Lukacsi E, Solimena M, Naegele JR, Lombroso PJ: STEP61: a member of a family of brain-enriched PTPs is localized to the endoplasmic reticulum. J Neurosci. 1996, 16: 7821-7831.
Liu L, Yu XZ, Li TS, Song LX, Chen PL, Suo TL, Li YH, Wang SD, Chen Y, Ren YM, et al: A novel protein tyrosine kinase NOK that shares homology with platelet- derived growth factor/fibroblast growth factor receptors induces tumorigenesis and metastasis in nude mice. Cancer Res. 2004, 64: 3491-3499. 10.1158/0008-5472.CAN-03-2106.
Mouse Transcriptome Project (MPSS). [http://www.ncbi.nlm.nih.gov/projects/geo/info/mouse-trans.html]
Brenner S, Johnson M, Bridgham J, Golda G, Lloyd DH, Johnson D, Luo S, McCurdy S, Foy M, Ewan M, et al: Gene expression analysis by massively parallel signature sequencing (MPSS) on microbead arrays. Nat Biotechnol. 2000, 18: 630-634. 10.1038/76469.
GNF gene expression atlas. [http://symatlas.gnf.org]
Su AI, Wiltshire T, Batalov S, Lapp H, Ching KA, Block D, Zhang J, Soden R, Hayakawa M, Kreiman G, et al: A gene atlas of the mouse and human protein-encoding transcriptomes. Proc Natl Acad Sci USA. 2004, 101: 6062-6067. 10.1073/pnas.0400782101.
Elson A, Leder P: Identification of a cytoplasmic, phorbol ester-inducible isoform of protein tyrosine phosphatase epsilon. Proc Natl Acad Sci USA. 1995, 92: 12235-12239.
Pixley FJ, Lee PS, Dominguez MG, Einstein DB, Stanley ER: A heteromorphic protein-tyrosine phosphatase, PTP phi, is regulated by CSF-1 in macrophages. J Biol Chem. 1995, 270: 27339-27347. 10.1074/jbc.270.45.27339.
MacDonald KP, Rowe V, Bofinger HM, Thomas R, Sasmono T, Hume DA, Hill GR: The colony-stimulating factor 1 receptor is expressed on dendritic cells during differentiation and regulates their expansion. J Immunol. 2005, 175: 1399-1405.
Kriventseva EV, Koch I, Apweiler R, Vingron M, Bork P, Gelfand MS, Sunyaev S: Increase of functional diversity by alternative splicing. Trends Genet. 2003, 19: 124-128. 10.1016/S0168-9525(03)00023-4.
Thanaraj TA, Clark F, Muilu J: Conservation of human alternative splice events in mouse. Nucleic Acids Res. 2003, 31: 2544-2552. 10.1093/nar/gkg355.
Sugnet CW, Kent WJ, Ares M, Haussler D: Transcriptome and genome conservation of alternative splicing events in humans and mice. Pac Symp Biocomput. 2004, 66-77.
Xie H, Zhu WY, Wasserman A, Grebinskiy V, Olson A, Mintz L: Computational analysis of alternative splicing using EST tissue information. Genomics. 2002, 80: 326-330. 10.1006/geno.2002.6841.
Xu Q, Modrek B, Lee C: Genome-wide detection of tissue-specific alternative splicing in the human transcriptome. Nucleic Acids Res. 2002, 30: 3754-3766. 10.1093/nar/gkf492.
Johnson JM, Castle J, Garrett-Engele P, Kan Z, Loerch PM, Armour CD, Santos R, Schadt EE, Stoughton R, Shoemaker DD: Genome-wide survey of human alternative pre-mRNA splicing with exon junction microarrays. Science. 2003, 302: 2141-2144. 10.1126/science.1090100.
Watahiki A, Waki K, Hayatsu N, Shiraki T, Kondo S, Nakamura M, Sasaki D, Arakawa T, Kawai J, Harbers M, et al: Libraries enriched for alternatively spliced exons reveal splicing patterns in melanocytes and melanomas. Nat Methods. 2004, 1: 233-239. 10.1038/nmeth719.
Kendall RL, Thomas KA: Inhibition of vascular endothelial cell growth factor activity by an endogenously encoded soluble receptor. Proc Natl Acad Sci USA. 1993, 90: 10705-10709.
Aigner A, Juhl H, Malerczyk C, Tkybusch A, Benz CC, Czubayko F: Expression of a truncated 100 kDa HER2 splice variant acts as an endogenous inhibitor of tumour cell proliferation. Oncogene. 2001, 20: 2101-2111. 10.1038/sj.onc.1204305.
Holmberg J, Clarke DL, Frisen J: Regulation of repulsion versus adhesion by different splice forms of an Eph receptor. Nature. 2000, 408: 203-206. 10.1038/35041577.
Haapasalo A, Koponen E, Hoppe E, Wong G, Castren E: Truncated trkB.T1 is dominant negative inhibitor of trkB.TK+-mediated cell survival. Biochem Biophys Res Commun. 2001, 280: 1352-1358. 10.1006/bbrc.2001.4296.
Barreda DR, Hanington PC, Stafford JL, Belosevic M: A novel soluble form of the CSF-1 receptor inhibits proliferation of self-renewing macrophages of goldfish (Carassius auratus L. ). Dev Comp Immunol. 2005, 29: 879-894. 10.1016/j.dci.2005.02.006.
Connor RJ, Pasquale EB: Genomic organization and alternatively processed forms of Cek5, a receptor protein-tyrosine kinase of the Eph subfamily. Oncogene. 1995, 11: 2429-2438.
Seino S, Bell GI: Alternative splicing of human insulin receptor messenger RNA. Biochem Biophys Res Commun. 1989, 159: 312-316. 10.1016/0006-291X(89)92439-X.
Landman N, Kim TW: Got RIP? Presenilin-dependent intramembrane proteolysis in growth factor receptor signaling. Cytokine Growth Factor Rev. 2004, 15: 337-351. 10.1016/j.cytogfr.2004.04.001.
Levi E, Fridman R, Miao HQ, Ma YS, Yayon A, Vlodavsky I: Matrix metalloproteinase 2 releases active soluble ectodomain of fibroblast growth factor receptor 1. Proc Natl Acad Sci USA. 1996, 93: 7069-7074. 10.1073/pnas.93.14.7069.
Reusch P, Barleon B, Weindel K, Martiny-Baron G, Godde A, Siemeister G, Marme D: Identification of a soluble form of the angiopoietin receptor TIE-2 released from endothelial cells and present in human blood. Angiogenesis. 2001, 4: 123-131. 10.1023/A:1012226627813.
Burgess HA, Martinez S, Reiner O: KIAA doublecortin-like kinase, is expressed during brain development. J Neurosci Res. 0369, 58: 567-575. 10.1002/(SICI)1097-4547(19991115)58:4<567::AID-JNR9>3.0.CO;2-T.
Burgess HA, Reiner O: Cleavage of doublecortin-like kinase by calpain releases an active kinase fragment from a microtubule anchorage domain. J Biol Chem. 2001, 276: 36397-36403. 10.1074/jbc.M105153200.
Yuryev A, Ono M, Goff SA, Macaluso F, Wennogle LP: Isoform-specific localization of A-RAF in mitochondria. Mol Cell Biol. 2000, 20: 4870-4878. 10.1128/MCB.20.13.4870-4878.2000.
Kumar S, McLaughlin MM, McDonnell PC, Lee JC, Livi GP, Young PR: Human mitogen-activated protein kinase CSBP1, but not CSBP2, complements a hog1 deletion in yeast. J Biol Chem. 1995, 270: 29043-29046. 10.1074/jbc.270.49.29043.
Lewis BP, Green RE, Brenner SE: Evidence for the widespread coupling of alternative splicing and nonsense-mediated mRNA decay in humans. Proc Natl Acad Sci USA. 2003, 100: 189-192. 10.1073/pnas.0136770100.
Martin A, Tsui HW, Shulman MJ, Isenman D, Tsui FW: Murine SHP-1 splice variants with altered Src homology 2 (SH2) domains. Implications for the SH2-mediated intramolecular regulation of SHP-1. J Biol Chem. 1999, 274: 21725-21734. 10.1074/jbc.274.31.21725.
Niino YS, Irie T, Takaishi M, Hosono T, Huh N, Tachikawa T, Kuroki T: PKCtheta II, a new isoform of protein kinase C specifically expressed in the seminiferous tubules of mouse testis. J Biol Chem. 2001, 276: 36711-36717. 10.1074/jbc.M104348200.
Rousseau V, Goupille O, Morin N, Barnier JV: A new constitutively active brain PAK3 isoform displays modified specificities toward Rac and Cdc42 GTPases. J Biol Chem. 2003, 278: 3912-3920. 10.1074/jbc.M207251200.
Cameron SJ, Abe J, Malik S, Che W, Yang J: Differential role of MEK5alpha and MEK5beta in BMK1/ERK5 activation. J Biol Chem. 2004, 279: 1506-1512. 10.1074/jbc.M308755200.
Qian Z, Lin C, Espinosa R, LeBeau M, Rosner MR: Cloning and characterization of MST4, a novel Ste20-like kinase. J Biol Chem. 2001, 276: 22439-22445. 10.1074/jbc.M009323200.
Yan C, Luo H, Lee JD, Abe J, Berk BC: Molecular cloning of mouse ERK5/BMK1 splice variants and characterization of ERK5 functional domains. J Biol Chem. 2001, 276: 10870-10878. 10.1074/jbc.M009286200.
Chalfant CE, Watson JE, Bisnauth LD, Kang JB, Patel N, Obeid LM, Eichler DC, Cooper DR: Insulin regulates protein kinase CbetaII expression through enhanced exon inclusion in L6 skeletal muscle cells. A novel mechanism of insulin- and insulin-like growth factor-i-induced 5' splice site selection. J Biol Chem. 1998, 273: 910-916. 10.1074/jbc.273.2.910.
Patel NA, Kaneko S, Apostolatos HS, Bae SS, Watson JE, Davidowitz K, Chappell DS, Birnbaum MJ, Cheng JQ, Cooper DR: Molecular and genetic studies imply Akt-mediated signaling promotes protein kinase CbetaII alternative splicing via phosphorylation of serine/arginine-rich splicing factor SRp40. J Biol Chem. 2005, 280: 14302-14309. 10.1074/jbc.M411485200.
Nowak SJ, Corces VG: Phosphorylation of histone H3 correlates with transcriptionally active loci. Genes Dev. 2000, 14: 3003-3013. 10.1101/gad.848800.
Stamm S: Signals and their transduction pathways regulating alternative splicing: a new dimension of the human genome. Hum Mol Genet. 2002, 11: 2409-2416. 10.1093/hmg/11.20.2409.
Xing J, Ginty DD, Greenberg ME: Coupling of the RAS-MAPK pathway to gene activation by RSK2, a growth factor-regulated CREB kinase. Science. 1996, 273: 959-963.
Komarnitsky P, Cho EJ, Buratowski S: Different phosphorylated forms of RNA polymerase II and associated mRNA processing factors during transcription. Genes Dev. 2000, 14: 2452-2460. 10.1101/gad.824700.
Furuno M, Kasukawa T, Saito R, Adachi J, Suzuki H, Baldarelli R, Hayashizaki Y, Okazaki Y: CDS annotation in full-length cDNA sequence. Genome Res. 2003, 13: 1478-1487. 10.1101/gr.1060303.
Stein LD, Mungall C, Shu S, Caudy M, Mangone M, Day A, Nickerson E, Stajich JE, Harris TW, Arva A, et al: The generic genome browser: a building block for a model organism system database. Genome Res. 2002, 12: 1599-1610. 10.1101/gr.403602.
FANTOM3: download. [http://fantom3.gsc.riken.jp/download.html]
Mouse Genome Database (MGD). [http://www.informatics.jax.org/]
Eppig JT, Bult CJ, Kadin JA, Richardson JE, Blake JA, Anagnostopoulos A, Baldarelli RM, Baya M, Beal JS, Bello SM, et al: The Mouse Genome Database (MGD): from genes to mice: a community resource for mouse biology. Nucleic Acids Res. 2005, D471-D475.
Bendtsen JD, Nielsen H, von Heijne G, Brunak S: Improved prediction of signal peptides: SignalP 3.0. J Mol Biol. 2004, 340: 783-795. 10.1016/j.jmb.2004.05.028.
Krogh A, Larsson B, von Heijne G, Sonnhammer EL: Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes. J Mol Biol. 2001, 305: 567-580. 10.1006/jmbi.2000.4315.
Sudo T, Nishikawa S, Ogawa M, Kataoka H, Ohno N, Izawa A, Hayashi S: Functional hierarchy of c-kit and c-fms in intramarrow production of CFU-M. Oncogene. 1995, 11: 2469-2476.
Aasheim HC, Patzke S, Hjorthaug HS, Finne EF: Characterization of a novel Eph receptor tyrosine kinase, EphA10, expressed in testis. Biochim Biophys Acta. 2005, 1723: 1-7.
Sajjadi FG, Pasquale EB, Subramani S: Identification of a new eph-related receptor tyrosine kinase gene from mouse and chicken that is developmentally regulated and encodes at least two forms of the receptor. New Biol. 1991, 3: 769-778.
Huckle WR, Roche RI: Post-transcriptional control of expression of sFlt-1, an endogenous inhibitor of vascular endothelial growth factor. J Cell Biochem. 2004, 93: 120-132. 10.1002/jcb.20142.
Garwood J, Schnadelbach O, Clement A, Schutte K, Bach A, Faissner A: DSD-1-proteoglycan is the mouse homolog of phosphacan and displays opposing effects on neurite outgrowth dependent on neuronal lineage. J Neurosci. 1999, 19: 3888-3899.
Ciossek T, Millauer B, Ullrich A: Identification of alternatively spliced mRNAs encoding variants of MDK1, a novel receptor tyrosine kinase expressed in the murine nervous system. Oncogene. 1995, 10: 97-108.
Klein R, Conway D, Parada LF, Barbacid M: The trkB tyrosine protein kinase gene codes for a second neurogenic receptor that lacks the catalytic kinase domain. Cell. 1990, 61: 647-656. 10.1016/0092-8674(90)90476-U.
Menn B, Timsit S, Calothy G, Lamballe F: Differential expression of TrkC catalytic and noncatalytic isoforms suggests that they act independently or in association. J Comp Neurol. 1998, 401: 47-64. 10.1002/(SICI)1096-9861(19981109)401:1<47::AID-CNE4>3.0.CO;2-C.
Mosselman S, Claesson-Welsh L, Kamphuis JS, van Zoelen EJ: Developmentally regulated expression of two novel platelet-derived growth factor alpha-receptor transcripts in human teratocarcinoma cells. Cancer Res. 1994, 54: 220-225.
Rossi P, Marziali G, Albanesi C, Charlesworth A, Geremia R, Sorrentino V: A novel c-kit transcript, potentially encoding a truncated receptor, originates within a kit gene intron in mouse spermatids. Dev Biol. 1992, 152: 203-207. 10.1016/0012-1606(92)90172-D.
Reiter JL, Threadgill DW, Eley GD, Strunk KE, Danielsen AJ, Sinclair CS, Pearsall RS, Green PJ, Yee D, Lampland AL, et al: Comparative genomic sequence analysis and isolation of human and mouse alternative EGFR transcripts encoding truncated receptor isoforms. Genomics. 2001, 71: 1-20. 10.1006/geno.2000.6341.
Moeller S, Mix E, Blueggel M, Serrano-Fernandez P, Koczan D, Kotsikoris V, Kunz M, Watson M, Pahnke J, Illges H, et al: Collection of soluble variants of membrane proteins for transcriptomics and proteomics. In Silico Biol. 2005, 5: 295-311.
Acknowledgements
We should like to acknowledge everyone involved in the FANTOM3 project and in particular the contributions from RIKEN, the protein coding group, and the transcription start site group, without which these analyses would not have been possible. We should like to acknowledge the following funding sources: research grant for the RIKEN Genome Exploration Research Project from the Ministry of Education, Culture, Sports, Science and Technology of the Japanese Government to YH: grant for CREST (Core Research for Evolutional Science and Technology) of Japan Science and Technology Corporation (JST) to YH; a grant of the Genome Network Project from the Ministry of Education, Culture, Sports, Science and Technology, Japan to YH; and research grants for Preventure Program C of Japan Science and Technology Agency (JST) to YH.
R.K. was supported by FP5 INCO2 to Japan fellowship from the European Union. S.M.G. is supported by an NHMRC R Douglas Wright Career Development Award. M.L.C. was supported by the ARC funded SRC for Functional and Applied Genomics. A.F. is supported by a University of Queensland Graduate School Scholarship. A.F. and S.M.G. are also funded by the ARC Centre in Bioinformatics. D.F.T. was supported by the National Institute for Diabetes, Digestion and Kidney Disease, National Institutes of Health (DK63400) as part of the Stem Cell Genome Anatomy Project.
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13059_2005_1273_MOESM1_ESM.xls
Additional data file 1: An Excel file listing all protein kinase-like and protein phosphatase-like loci considered in this study (sheet 1 lists the 522 kinase-like and 158 phosphatase-like loci with detected transcripts; sheets 2 and 3 provide details of the entries retired because of false positives, and duplications in reported by Forrest [22] and Caenepeel [23] and their coworkers; and sheet 4 provides a list of predicted transcripts still awaiting confirmation by cDNA evidence). (XLS 264 KB)
13059_2005_1273_MOESM2_ESM.pdf
Additional data file 2: A pdf file containing a pair of screen captures demonstrating visualization of the Araf and Dcamkl1 protein kinase loci (note alternative well supported 5' and 3' exons that structurally divide the loci). (PDF 125 KB)
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Additional data file 3: An Excel file listing alternative splice junctions identified in the set and the cDNA accession numbers that support them. (XLS 6 MB)
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Additional data file 5: A zip file containing a PowerPoint presentation with genomic views of the 5'-RACE results and an Excel file summarizing the results and the primer sequences used. (ZIP 745 KB)
13059_2005_1273_MOESM6_ESM.xls
Additional data file 6: An Excel file of zinc finger loci with levels of support for alternative transcripts. (XLS 198 KB)
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Additional data file 7: An Excel file that contains supporting evidence for the variant receptors discussed in the results, providing links to MPSS, GNF, and CAGE for transcriptional evidence, links into PubMed for known examples, and other supporting evidence. (XLS 68 KB)
13059_2005_1273_MOESM9_ESM.xls
Additional data file 9: An Excel file containing the domain combinations, complements, and raw Interpro results for all full-length transcripts in the phosphoregulator set. (XLS 5 MB)
13059_2005_1273_MOESM10_ESM.pdf
Additional data file 10: A pdf file showing a graph of the number of loci with alternative splice junctions, and 5' terminal or 3' terminal exons (for a junction to be considered variant it requires two independent cDNAs - one cDNA flags the sequence as potential; for terminal exons a count of five events is required for it to be considered variant - two events flag the sequence as potential). (PDF 6 KB)
13059_2005_1273_MOESM11_ESM.xls
Additional data file 11: An Excel file summarizing the predicted domain combination and variant type for the 1473 full-length ORFs identified in the domain structure analysis. (XLS 2 MB)
13059_2005_1273_MOESM12_ESM.zip
Additional data file 12: A zip file containing an Excel file summarizing the quantitative real-time PCR results for the Csf1r receptor variants and a pdf file containing additional localization images for the secreted isoform. (ZIP 784 KB)
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Forrest, A.R., Taylor, D.F., Crowe, M.L. et al. Genome-wide review of transcriptional complexity in mouse protein kinases and phosphatases . Genome Biol 7, R5 (2006). https://doi.org/10.1186/gb-2006-7-1-r5
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DOI: https://doi.org/10.1186/gb-2006-7-1-r5