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An unappreciated role for RNA surveillance



Nonsense-mediated mRNA decay (NMD) is a eukaryotic mRNA surveillance mechanism that detects and degrades mRNAs with premature termination codons (PTC+ mRNAs). In mammals, a termination codon is recognized as premature if it lies more than about 50 nucleotides upstream of the final intron position. More than a third of reliably inferred alternative splicing events in humans have been shown to result in PTC+ mRNA isoforms. As the mechanistic details of NMD have only recently been elucidated, we hypothesized that many PTC+ isoforms may have been cloned, characterized and deposited in the public databases, even though they would be targeted for degradation in vivo.


We analyzed the human alternative protein isoforms described in the SWISS-PROT database and found that 144 (5.8% of 2,483) isoform sequences amenable to analysis, from 107 (7.9% of 1,363) SWISS-PROT entries, derive from PTC+ mRNA.


For several of the PTC+ isoforms we identified, existing experimental evidence can be reinterpreted and is consistent with the action of NMD to degrade the transcripts. Several genes with mRNA isoforms that we identified as PTC+ - calpain-10, the CDC-like kinases (CLKs) and LARD - show how previous experimental results may be understood in light of NMD.


Alternative pre-mRNA splicing endows genes with the potential to produce a menagerie of protein products. After pre-mRNA is transcribed, a complex system of regulation determines which one of several possible versions of mature mRNA will be produced (reviewed in [1]). Alternative splicing is particularly important in human gene expression, as it affects half or more of human genes [2, 3]. The diversity-generating capacity of alternative splicing can be staggering: one notable example, the dscam gene of Drosophila melanogaster, is hypothetically capable of producing 38,016 unique alternative isoforms [4]. However, functional roles for most alternative isoforms remain undiscovered.

It has been known for more than a decade that nonsense and frameshift mutations that induce premature termination codons can destabilize mRNA transcripts in vivo [5, 6]. First investigated in yeast and humans, NMD was subsequently observed in a wide range of eukaryotes and is now thought to occur in all eukaryotes [7]. How cells manage to distinguish a premature termination codon from a normal termination codon has been the subject of intense investigation. Important details have emerged that establish the following mechanistic framework model for NMD in mammals (Figure 1).

Figure 1

Recognition of premature termination codons in humans is splicing dependent. (a) During pre-mRNA processing, introns are removed and a set of proteins called the exon-junction complex is deposited. According to the current model for mammalian NMD, these complexes serve to facilitate transport from the nucleus and to remember the gene structure. During the first, pioneering, round of translation, the ribosome will displace all exon-junction complexes in its path until it reaches a stop codon. If the termination codon is on or near the final exon, as is the case for most genes, the ribosome will have displaced all exon-junction complexes. The mRNA will then undergo multiple rounds of translation. (b) If the termination codon is sufficiently far upstream of the final intron position, exon-junction complexes will remain. Interactions ensue that result in the degradation of the mRNA by NMD.

During pre-mRNA processing, the spliceosome removes intron sequences. As this occurs, a set of proteins called the exon-junction complex is deposited 20-24 nucleotides upstream of the sites of intron removal [811]. The components of this complex serve the dual roles of facilitating export of the mature mRNA to the cytoplasm and remembering the gene structure [12]. According to the current model, as a ribosome traverses the mRNA in its first pioneering round of translation, it displaces all exon-junction complexes in its path [1316]. For normal mRNAs, whose termination codons are on or near the final exon, the ribosome will have displaced all exon-junction complexes. By contrast, if any exon-junction complexes remain when the ribosome reaches the stop codon, a series of interactions ensues that leads to the decapping and degradation of the mRNA. This model explains the basis of the '50 nucleotide rule' for mammalian NMD: if a termination codon is more than about 50 nucleotides upstream of the final exon, it is a PTC and the mRNA that harbors it will be degraded [17]. The mechanisms for NMD differ among yeast [18], flies [19], and mammals - and may be different still in other eukaryotes.

Degradation of PTC+ mRNAs is generally thought to occur as a quality-surveillance system -preempting translation of potentially dominant-negative, carboxy-terminal truncated proteins [20]. PTC+ transcripts are aberrantly produced in several ways. The somatic recombination that underlies immune-system diversity frequently generates recombined genes whose transcripts contain a PTC [21]. Inefficient or faulty splicing will often generate a frameshift in the resulting mRNA, inducing a PTC to come into frame. Also, the high processivity of RNA polymerase yields a relatively high error rate, 1 in 10,000 bases [22, 23], commonly introducing premature stops. DNA mutations are a source of potentially heritable PTCs. It is estimated that 30% of inherited disorders in humans are caused by a PTC [24]. The numerous diseases whose pathogenesis has been linked to NMD-inducing PTC mutations include aniridia due to the PAX6 gene [25], Duchenne muscular dystrophy due to the dystrophin gene [26], and Marfan syndrome due to the FBN1 gene [27].

In addition to its quality-control role in degrading aberrantly produced PTC+ mRNAs, NMD has also been shown experimentally to act on a handful of wild-type PTC+ mRNAs [2835]. In Caenorhabditis elegans, for example, expression of the ribosomal proteins L3, L7a, L10a and L12 and the SR proteins SRp20 and SRp30b are regulated posttranscriptionally via the coupling of alternative splicing and NMD [31, 32]. In each case, productive isoforms were shown to be produced in vivo, as well as unproductive isoforms with a PTC. Regulated splicing to generate the unproductive isoforms is used as a means of downregulating protein expression, as these mRNA isoforms are degraded by NMD rather than translated to make protein. This system, which we have termed regulated unproductive splicing and translation (RUST), is also used in humans [2830]. For example, the SR protein SC35 has been shown to autoregulate its own expression using RUST [29]. When levels of SC35 protein are elevated, SC35 binds its own pre-mRNA, inducing the production of PTC+ SC35 mRNA. The PTC+ SC35 mRNA is destabilized by NMD, resulting in lower levels of SC35 protein. A similar autoregulatory RUST system was also recently discovered to control production of polypyrimidine tract binding protein (PTB) [35].

In a previous study, we found that 35% of human mRNA alternative isoforms reliably inferred from expressed sequence tags (ESTs) are PTC+, rendering them apparent targets of NMD (see [36] and a conference report at [37]. Therefore, many wild-type alternative mRNA isoforms may not be translated into functional protein, but instead are targeted for degradation by NMD. The vast majority of PTC+ isoforms identified in that study represent previously unrecognized potential targets of NMD. However, EST databases contain expressed sequence for many isoforms that are otherwise uncharacterized. Therefore, it was not obvious how many of the isoforms identified in that study as PTC+ were functionally relevant or even previously known. It was also not obvious to what extent those PTC+ isoforms represented instances of RUST regulation or simply errors or deregulation in pre-mRNA processing. Regardless, it is clear that NMD has a vital role in regulating mammalian gene expression, as inhibition of NMD is embryonic lethal for mouse [38].

To understand the biological significance of PTC+ isoforms and the prevalence of NMD on wild-type transcripts, it is necessary to expand beyond existing isolated RUST examples, while retaining a focus on functionally characterized genes. For this reason, we analyzed the human alternative isoforms described in the SWISS-PROT database. Common routes for gene isoform sequences to be determined and entered into databases include the cloning of intronless mini-genes and the sequencing of unexpected PCR bands. By either method, gene structure cannot be directly observed, and therefore PTCs may be overlooked. Further computational and experimental analyses will also often be oblivious to these features. Because the cloning and characterization of many isoforms predates our current understanding of NMD action, we hypothesized that unrecognized potential targets of NMD may be present even in curated databases like SWISS-PROT. We found that many of these alternative protein isoforms derive from PTC+ mRNAs. This is particularly surprising as SWISS-PROT is a heavily curated database of expressed protein sequences. According to the current NMD model, these PTC+ mRNAs should be degraded, and therefore the protein isoforms should not be expressed at high abundance. To resolve this apparent conflict, we examined existing experimental evidence and found that, in several cases, results described in the scientific literature are readily explained by NMD action.

Results and discussion

SWISS-PROT protein isoforms from PTC+mRNAs

We examined the human alternative isoforms described in the SWISS-PROT database [39] to determine if any derive from PTC+ mRNA (see Materials and methods). For each alternative human protein isoform sequence in SWISS-PROT, we attempted to identify a corresponding cDNA/mRNA sequence in GenBank [40] or RefSeq [41]. As shown in Figure 2, 2,742 isoform sequences from 1,463 SWISS-PROT entries could be reliably mapped to a cDNA/mRNA sequence. Next, we aligned each cDNA/mRNA sequence to the corresponding region of genome sequence using the SPIDEY program [42]. The SPIDEY output was analyzed to identify the position of introns in each gene. To determine which cDNA/mRNA sequences have PTCs according to the 50-nucleotide rule for NMD, the position of the termination codon as reported in each GenBank or RefSeq file was compared to the position of the introns. Of 2,483 alternative isoforms from 1,363 SWISS-PROT entries that passed quality filters, 144 isoforms (5.8% of 2,483) from 107 entries (7.9% of 1,363) were found to have PTCs, making them candidate targets of NMD. We also found that SWISS-PROT entries that contain multiple alternative isoforms amenable to our analysis were more likely to contain at least one PTC+ isoform (see Figure 3). The complete list of PTC+ alternative isoforms we identified in this analysis, along with their SWISS-PROT accession numbers and cDNA/mRNA identifiers, are shown in Table 1. The SPIDEY alignments for each of the isoforms we identified as PTC+ are provided as Additional data file 1.

Figure 2

Many human alternative isoforms in SWISS-PROT derive from PTC+ mRNAs. (a) We analyzed each of the human SWISS-PROT entries containing a VARSPLIC line in its feature table, using this information to assemble protein isoform sequences. Ambiguous VARSPLIC entries led us to discard five entries from our analysis at this point. (b) We next identified cDNA/mRNA sequences corresponding to each protein isoform assembled from SWISS-PROT. BLAST was used to align each protein isoform sequence to translated cDNA/mRNA sequences in GenBank and Refseq, filtering to ensure only high confidence matches. To obtain the coding sequence of each mRNA/cDNA sequence, we used LocusLink to map each to the correct human genomic contig sequence from the NCBI human genome build 30. We referred to the CDS feature of each GenBank or RefSeq cDNA/mRNA record to identify stop codon locations. (c) We used the SPIDEY mRNA-to-genomic DNA alignment program to determine the gene structure of each mRNA/cDNA isoform sequence. After generating these gene structures, we could determine the PTC+ status on the basis of stop codon location relative to exon-exon junctions. If the termination codon was found to be more than 50 nucleotides upstream of the final intron, the transcript was deemed PTC+ and designated a candidate target of NMD according to the model of mammalian PTC recognition. (d) Each putative PTC+ isoform was manually inspected for errors in gene structure prediction. These errors include false exon predictions due to poly(A) tails and cDNA/mRNA sequence not seen in the corresponding genomic sequence.

Figure 3

SWISS-PROT entries with multiple isoforms amenable to analysis generate more PTC+ isoforms. We categorized SWISS-PROT entries by the number of isoforms that are amenable to our analysis, and we then determined how many contained a PTC. Each bar shows the number of PTC+ isoforms generated for all SWISS-PROT entries that had the indicated number of isoforms amenable to analysis. Bar components indicate how many entries had a given number of PTC+ isoforms. For example, the bar labeled '3' contains data for the 113 SWISS-PROT entries that had 3 isoforms amenable to analysis. 86% of these had no PTC+ isoforms, 10% had one PTC+ isoform, and 4% had 2 PTC+ isoforms. The bar components outlined in green were SWISS-PROT entries for which all amenable isoforms had a PTC. Entries with multiple isoforms amenable to analysis were more likely to produce at least one PTC+ isoform. This study only considered entries with at least two isoforms in the SWISS-PROT database. For many entries only a single isoform is amenable to analysis, however.

Table 1 NMD-candidate SWISS-PROT isoforms

Next we examined existing reports for experimental evidence that would refute or support action of NMD on these PTC+ isoforms. We found that published descriptions of these PTC+ isoforms sometimes do describe the isoforms as containing premature termination codons. However, these articles almost universally lack any mention of NMD, even as they often describe data that is suggestive of NMD action. Among the many well-characterized proteins found in our study to have at least one PTC+ splice variant, three examples demonstrate how previously published experimental results may be interpreted in the light of NMD degradation of alternative mRNA isoforms.


Calpain-10 is an ubiquitously expressed protease that is alternatively spliced to produce eight mRNA isoforms [43], found in SWISS-PROT as Q9HC93. The gene for calpain-10 has been intensively studied because a polymorphism in its third intron, UCSNP-43, has been linked to type II diabetes in several populations. Because this polymorphism lies in intronic sequence it does not directly affect the coding potential of any isoform of calpain-10. It was shown that homozygosity of UCSNP-43 leads to reduced levels of total calpain-10 transcript and is coincident with insulin resistance in skeletal muscle [44]. Previous investigations into how this polymorphism affects transcript abundance have centered on transcriptional regulation [43, 45]. In an expression study, Horikawa et al. found four of the eight isoforms to be "less abundant". In our SWISS-PROT survey we found these same four mRNA isoforms to be PTC+, suggesting that NMD may be responsible for this experimental observation (Figure 4). This introduces the possibility that UCSNP-43 may affect the regulation of calpain-10 alternative splicing, favoring production of one or more of the PTC+ isoforms.

Figure 4

Published expression levels of calpain-10 isoforms are consistent with NMD prediction. (a) A report from Horikawa and co-workers [43] found eight alternative isoforms of calpain-10, of which four are expressed in low abundance. Our analysis found this exact set of four low-abundance isoforms to contain PTCs. (b) Gene structures of alternative mRNA isoforms of calpain-10 show the patterns of alternative splicing and indicate locations of PTCs. Also shown is the position of UCSNP-43, an intronic polymorphism that has been statistically linked to type II diabetes susceptibility in a variety of populations.

CDC-like kinases CLK1, CLK2 and CLK3

CLK1, CLK2 and CLK3 - three members of the CDC-like kinase family (also known as LAMMER kinases and STY kinases; SWISS-PROT entries P49759, P49760, P49761) - were found to have at least one PTC+ splice variant. CLKs are thought to be high-level regulators of alternative splicing, as CLK1 has been shown to activate a set of SR proteins by phosphorylating them [4648]. The pattern of alternative splicing of each CLK paralog was found to be the same: a full-length isoform and an isoform that skips exon 4 [49]. We found that in each case, skipping exon 4 induces a frameshift that creates a PTC (Figure 5a). The conceptual translations of these PTC+ isoforms, described as 'truncated,' lack most of the coding region, including the kinase domain.

Figure 5

Splicing to generate a premature termination codon is evolutionarily conserved in CLKs. The CDC-like kinases (CLKs) are splicing regulators that affect splicing decisions through the phosphorylation of SR proteins. (a) Our screen of SWISS-PROT revealed that human CLK1, CLK2 and CLK3 paralogs all generate PTC+ alternative isoforms. The splicing pattern that generates these isoforms, skipping exon 4, is conserved in each. This splicing pattern causes a frameshift and a PTC. The percent identities from global alignments between corresponding exons and introns are shown in purple. (b) CLKs were identified in mouse through existing annotation and in the predicted genes of the sea squirt C. intestinalis using an HMM constructed with annotated CLKs from a variety of organisms. An EST analysis revealed that the alternative splicing pattern that generates PTC+ alternative isoforms was conserved in all three sets of orthologs in human and mouse. The same splicing pattern was also found in the only C. intestinalis homolog. A relatively high degree of sequence similarity was found to be present in the introns flanking the alternative exon.

Having observed conservation amongst the human paralogs, we examined the gene structures of the mouse orthologs of each CLK (Figure 5b) to determine if the splicing pattern was shared across species. We identified mouse orthologs through existing RefSeq database annotation. EST evidence of alternative splicing showed that all three mouse CLK orthologs showed the same pattern of alternative splicing, skipping exon 4 to induce a PTC, as seen in the human CLKs. The significance of this evolutionary conservation is underscored by the recent finding that low-abundance alternative exons are 'mostly not conserved' between human and mouse [50]. For the CLK genes, the alternative exons and the introns flanking them are among the most similar regions of these genes (Figure 5b).

We next searched for evidence of more distant conservation of CLK alternative splicing. We identified the single CLK homolog in the sea squirt by using a hidden Markov model of CLKs to search the Ciona intestinalis genome (see Materials and methods). EST evidence clearly indicated that the same alternative splicing pattern seen in human and mouse is also conserved in C. intestinalis. We were not able to observe a set of similar splicing patterns in D. melanogaster (data not shown).

Menegay and co-workers "tested whether expression of CLK1 splice products was subject to regulation by cellular stressors" [48]. They found that "UV exposure or high salt conditions had no effect on the ratio of full-length to truncated splice forms of CLK1. Cycloheximide, however, had a large effect, changing the ratio dramatically in favor of the truncated kinase-less form of mRNA" (see Figure 6). Cycloheximide, a chemical inhibitor of translation, is known to inhibit NMD [51], because NMD depends on translation. Indeed, cycloheximide is now a commonly used reagent for NMD-inhibition experiments (see, for example [28, 52, 53]). Combined with our finding that the 'truncated' mRNA isoform possesses a PTC, the results of Menegay et al. can be readily explained: the increased abundance of the truncated PTC+ isoform following cycloheximide treatment is likely to be the result of inhibiting NMD, which normally degrades it.

Figure 6

Cycloheximide increases abundance of CLK1 PTC+ isoform. (a) Gene structures of CLK1 full-length and PTC+ isoforms as determined by our analysis. (b) Menegay et al. [48] performed the RT-PCR analysis of CLK1 isoforms; Figure 8 of that analysis [48] is reproduced here with permission (© Company of Biologists Ltd.). The 560 bp fragment corresponds to the full-length CLK1 isoform; the 453 bp fragment corresponds to the PTC+ CLK1 isoform. The analysis shows that cycloheximide, but not UV irradiation or high salt (data not shown), increased the relative abundance of the CLK1 isoform containing a premature termination codon. As cycloheximide is a potent inhibiter of NMD (see, for example, [28, 5153]), this result suggests that the CLK1 PTC+ isoform is degraded by NMD. Menegay et al. [48] describe their figure as follows: "Shift in PCR products of splice forms with cycloheximide. Control or PC12 cells treated with 10 μg/ml cycloheximide for 60 minutes were harvested, RNA was extracted, and RT-PCR was performed. [...] PCR products of the 560 bp full-length form or the 453 kinase-less form of CLK1 message shown. [...] PCR of GAPDH controls from each sample to control for RNA loading."

CLK1 has been shown to indirectly affect its own splicing [46]: the presence of high levels of CLK1 protein favors generation of the truncated PTC+ splice variant. However, instead of coding for an inactive, truncated protein isoform, we propose that this PTC+ mRNA isoform may be simply degraded by NMD. Autoregulation of this type would be analogous with that seen for the splicing factors SC35 [29] and PTB [35]. Both SC35 and PTB proteins promote the alternative splicing of PTC+ isoforms of their own mRNAs, which are then degraded by NMD.


Death-domain-containing receptors such as LARD (also known as TNFRSF12, DR3 and Apo3; SWISS-PROT entry Q99831) are known to regulate the balance between lymphocyte proliferation and apoptosis [54]. The term death domain refers to a conserved intracellular region present in receptors such as Fas and tumor necrosis factor receptor 1 (TNFR-1) that is capable of inducing apoptosis when the receptor has bound its ligand (in these cases, Fas ligand and tumor necrosis factor α (TNFα) respectively). The regulation of functional death receptor expression is important in maintaining the balance between lymphocyte proliferation and apoptosis in vivo.

LARD is alternatively spliced to produce 12 isoforms [55]. There is one full-length isoform that encodes a death domain and its expression is pro-apoptotic. Many of the 11 other isoforms, whose functions are unclear, do not encode the death domain. In a study of differential expression of LARD in unstimulated and activated lymphocytes, Screaton and co-workers found that "...there is no change in overall LARD expression in different lymphocyte subsets" [55]. Although total expression levels were unchanged, the pattern of alternative splicing changed dramatically (Figure 7). Unstimulated lymphocytes expressed five 'truncated' isoforms, but very little of the full-length isoform. They found that, "After lymphocyte activation, there is a complete switch in splicing that will expose PHA-blasted [activated] cells to the risk of apoptosis triggered through LARD...The splicing pattern reverses after PHA blasting when isoforms encoding the truncated molecules are much reduced and LARD-1 predominates."

Figure 7

LARD/TNFRSF12/DR3/Apo3 expression correlates with PTC+ status. LARD is an alternatively spliced death-domain-containing member of the tumor necrosis factor receptor family (TNFR). However, only the major splice variant (isoform 1) contains the death domain and is capable of inducing apoptosis. The splicing distribution of LARD isoforms has been shown to change on lymphocyte activation, suggesting that alternative splicing may be a control point regulating lymphocyte proliferation [55]. (a) Screaton et al. [55] showed that, before lymphocyte activation, only LARD isoforms 2, 3, 4, 5 and 6 are expressed. Primary blood lymphocytes treated with an activating agent were found instead to express the major, apoptosis-promoting splice variant (isoform 1) almost exclusively. This panel is reproduced with permission from Figure 6a of [55] (© National Academy of Sciences). Screaton et al. [55] describe their figure as follows: "Southern blots of reverse transcriptase-PCR of LARD cDNA with primers F LARD Kpn and R LARD Xba probed with 32P-labeled primer F LARD Xba. Lanes: 1, CD4+ cells; 2, CD8+ cells; 3, B cells; 4 PHA-blasted PBL; 5, negative control." (b) LARD isoforms 2, 3, 4, 5 and 6 were found in our analysis of SWISS-PROT to have PTCs, rendering them potential targets of NMD. The precise correlation between LARD isoform expression and PTC+ status hints that there may be a role for alternative-splicing-induced NMD. Here, the gene structures of these five isoforms are shown alongside that of the full-length LARD isoform (isoform 1). In each case, the location of the stop codon has been labeled and, where appropriate, isoforms have been denoted as PTC+.

We found that the five truncated LARD mRNA isoforms shown expressed in unstimulated lymphocytes all have PTCs (isoforms 2, 3, 4, 5 and 6). (Note that SWISS-PROT uses a different numbering scheme in which isoforms 2-6 are known as 12, 3, 5, 6 and 7, respectively.) Only the full-length apoptosis-promoting isoform 1, expressed in activated lymphocytes, is free of a PTC. Although there is presently no evidence of transcript degradation, this precise correlation between PTC-containing isoform expression and lymphocyte activation suggests that the role of alternative splicing in regulating lymphocyte apoptosis may be mediated by NMD.


We found that 144 of the human alternative isoforms described in SWISS-PROT derive from mRNAs that contain PTCs. These mRNAs are apparent targets for NMD, and we expect that most are degraded by this system. In many cases, existing experimental evidence is consistent with this expectation. Because our analysis was restricted to only human entries and many SWISS-PROT records could not be reliably analyzed, it is likely that there remain more unidentified putative NMD targets. We are beginning a collaborative project with SWISS-PROT to identify and suitably annotate these entries. The relevance of this effort is highlighted by the many instances in which existing experimental data can be explained in the light of NMD action.

Materials and methods

SWISS-PROT isoform extraction and assembly

We analyzed each of the 1,641 SWISS-PROT v.41 human entries containing a VARSPLIC line in its feature table [39]. Information contained in each VARSPLIC line was used to assemble protein isoform sequences for 4,556 isoforms from 1,636 unique SWISS-PROT entries. Five entries could not be analyzed due to ambiguous VARSPLIC annotation.

Identification of corresponding cDNA/mRNA sequences

Although SWISS-PROT contains cross-references to cDNA/mRNA sequences for major protein isoforms, cross-references do not exist for many alternative isoforms. To find the cDNA/mRNA sequence corresponding to each SWISS-PROT protein isoform, we used BLAST version 2.2.4 [56] to align each protein isoform sequence to translated cDNA/mRNA sequences from all GenBank [40] and RefSeq cDNA/mRNA sequences in these databases as of 22 March 2003 [41]. In these alignments, we required ≥ 99% identity over the full length of the SWISS-PROT isoform. In cases of multiple matches, we selected 100% identical matches over 99% identical matches and RefSeq matches over GenBank matches. For SWISS-PROT isoforms matching multiple entries from the same database at the same percent identity, the match associated with the longest cDNA/mRNA sequence was chosen. These rules associated 2,871 alternatively spliced human SWISS-PROT protein isoforms from 1,496 SWISS-PROT entries with a corresponding cDNA/mRNA sequence from either RefSeq or Genbank.

Retrieving coding sequences and genomic loci

We used LocusLink [41] to map each cDNA/mRNA sequence to the correct human genomic contig sequence from the National Center for Biotechnology Information (NCBI) human genome build 30 [57]. The coding sequence (CDS) feature of each GenBank or RefSeq record was used to identify the location of the termination codon. Of the 2,871 alternatively spliced human SWISS-PROT protein isoforms we associated with corresponding cDNA/mRNA sequences, 2,742 had GenBank or RefSeq records that were not polycistronic, allowing us to unambiguously determine the termination codon location for these records. These 2,742 alternative isoforms represented 1,463 unique SWISS-PROT entries.

Assessing NMD candidacy

The SPIDEY mRNA-to-genomic DNA alignment program [42] was used to determine the location of introns in each cDNA/mRNA alternative isoform sequence. SPIDEY takes as input a cDNA/mRNA sequence and the corresponding genomic sequence, and it generates an alignment that establishes the gene structure. Of the 2,742 alternatively spliced human SWISS-PROT protein isoforms for which both a cDNA/mRNA sequence and stop codon location could be identified, 2,483 resulted in high-confidence SPIDEY alignments, leading us to discard 259 from our analysis. These 2,483 isoform sequences represented 1,363 unique SWISS-PROT entries. We compared the intron positions to the position of the termination codon for each remaining cDNA/mRNA alternative isoform sequence. If the termination codon was found to be more than 50 nucleotides upstream of the final intron, we deemed the transcript to be PTC+ and a candidate target for NMD according to the model of mammalian PTC recognition [14]. One hundred and seventy-seven alternatively spliced human isoforms from 130 SWISS-PROT entries were identified as possible PTC+ splice variants using these criteria. These predictions required further screening, however, to confirm the veracity of the SPIDEY alignments on which they were based.

We manually reviewed all 177 putatively PTC+ alignments and discarded 33 because of demonstrable errors in the SPIDEY alignments. These errors included a variety of malformed intron predictions and poly(A) tails mistakenly annotated as 3' exons. Isoforms that remained following the application of these manual filters were deemed high-confidence PTC+ mRNAs. This was the case for 5.8% of the isoforms (144 of 2,483) from 7.9% of the unique SWISS-PROT entries studied (107 of 1,363). The SPIDEY alignment for each of these is included in Additional data file 1; the sequence identifiers for each step are included in Additional data file 2.

CLK analysis

Human CLK1, CLK2 and CLK3 (SWISS-PROT IDs P49759, P49760, and P49761) were among those SWISS-PROT entries we selected for further examination. They were mapped to RefSeq and GenBank entries, as shown in Figure 2. LocusLink was used to associate each CLK gene sequence to its corresponding genomic contig. For each gene, SPIDEY version 1.35 was run twice, using the vertebrate splice-site setting, to align it with its contig sequence and determine its gene structure. This first SPIDEY alignment was used to define the extent of each gene's locus: the region containing all the coding sequence, introns, and 1,000 nucleotides of flanking sequence on each side. The second SPIDEY alignment was made using just this locus. Custom scripts (available from the authors on request), GFF2PS [58], and manual editing were used to generate the graphical representations of the gene structures shown in Figure 4. Intron and exon sequences were then extracted using the SPIDEY results to delineate exon and intron boundaries. Corresponding exons and introns were globally aligned using ALIGN version 2.0u [59] with default parameters.

Mouse CLKs were identified using RefSeq annotation (NM_009905 - which skipped exon 4 and had a PTC, NM_007712, and NM_007713). Genomic loci sequences were generated and gene structures determined for each mouse CLK gene using SPIDEY, as above. The loci sequences were then used to search the mouse ESTs from dbEST (1 May 2003) [60] using WU-BLAST 2.0MP (23 May 2003) [61] with default parameters. Hits with E-values of 10-30 or better were aligned to the locus sequence using SPIDEY. These alignments were examined for evidence of PTC-inducing alternative splicing. The GI numbers for ESTs that exhibited the alternative splicing pattern shown in Figure 3 for each of the mouse CLKs are: CLK1 (full-length): 25118521, 21852543, 12560958, and others; CLK2 (exon 4 skipping): 22822098; CLK3 (exon 4 skipping): 26079129.

The C. intestinalis CLK homolog was identified from the database of predicted peptides [62, 63] by searching (HMMSEARCH V2.2G) [64] with a HMMER model of known CLKs. This model was generated using HMMBUILD (default parameters) and calibrated using HMMCALIBRATE from a CLUSTAL W V1.83 [65] alignment of the following CLK sequences: NP_004062, NP_003984, NP_003983, NP_031738, BAB33079, NP_031740, NP_065717, AAH43963, NP_599167, NP_031739, NP_477275, EAA12103, NP_741928, BAB67874, and NP_850695. The most significant hit (E-value: 4.4e-243) from C. intestinalis was ci0100143784. Visual inspection of other, less significant hits revealed that they align with only the kinase domain of the CLK model and none contains the LAMMER motif characteristic of CLKs. A maximum-likelihood tree was generated using PROTML V2.3B3 [66] using ci0100143784 and the three full-length human CLKs. This tree revealed that the C. intestinalis CLK is orthologous to human CLK2. The corresponding cDNA transcript sequence, ci0100143784, was retrieved from the database of predicted transcripts [67].

As above, the locus for this gene was extracted from the genomic contig sequence, Scaffold18, and used to search the database of C. intestinalis ESTs. The following ESTs showed the full-length pattern with no PTC: 24144377, 24820603, 24627564, 24627468, 24866887, and 2482449. The following ESTs showed the alternatively spliced pattern that generates a PTC: 24888181, 24606693, 24823992, and 24893089.

The C. intestinalis CLK gene was found to have only 11 exons, whereas human and mouse CLK2 have 13. To determine which exons were homologous, we generated a CLUSTALW multiple-sequence alignment of the known CLK protein sequences listed above and C. intestinalis CLK and used this alignment to identify corresponding regions of DNA sequence. This unambiguously indicated the exon-to-exon alignment shown in Figure 4.

Additional data files

A table showing the raw SPIDEY output of the 144 NMD-candidate isoform genes (Additional data file 1) and a file containing the identifiers of sequences at each major step of the analysis pipeline (Additional data file 2) are available.


  1. 1.

    Black DL: Mechanisms of alternative pre-messenger RNA splicing. Annu Rev Biochem. 2003, 72: 291-336. 10.1146/annurev.biochem.72.121801.161720.

    PubMed  CAS  Article  Google Scholar 

  2. 2.

    Modrek B, Lee C: A genomic view of alternative splicing. Nat Genet. 2002, 30: 13-19. 10.1038/ng0102-13.

    PubMed  CAS  Article  Google Scholar 

  3. 3.

    Kan Z, States D, Gish W: Selecting for functional alternative splices in ESTs. Genome Res. 2002, 12: 1837-1845. 10.1101/gr.764102.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  4. 4.

    Celotto AM, Graveley BR: Alternative splicing of the Drosophila Dscam pre-mRNA is both temporally and spatially regulated. Genetics. 2001, 159: 599-608.

    PubMed  CAS  PubMed Central  Google Scholar 

  5. 5.

    Leeds P, Peltz SW, Jacobson A, Culbertson MR: The product of the yeast UPF1 gene is required for rapid turnover of mRNAs containing a premature translational termination codon. Genes Dev. 1991, 5: 2303-2314.

    PubMed  CAS  Article  Google Scholar 

  6. 6.

    Kinniburgh AJ, Maquat LE, Schedl T, Rachmilewitz E, Ross J: mRNA-deficient beta o-thalassemia results from a single nucleotide deletion. Nucleic Acids Res. 1982, 10: 5421-5427.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  7. 7.

    Frischmeyer PA, Dietz HC: Nonsense-mediated mRNA decay in health and disease. Hum Mol Genet. 1999, 8: 1893-1900. 10.1093/hmg/8.10.1893.

    PubMed  CAS  Article  Google Scholar 

  8. 8.

    Le Hir H, Izaurralde E, Maquat LE, Moore MJ: The spliceosome deposits multiple proteins 20-24 nucleotides upstream of mRNA exon-exon junctions. EMBO J. 2000, 19: 6860-6869. 10.1093/emboj/19.24.6860.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  9. 9.

    Le Hir H, Moore MJ, Maquat LE: Pre-mRNA splicing alters mRNP composition: evidence for stable association of proteins at exon-exon junctions. Genes Dev. 2000, 14: 1098-1108.

    PubMed  CAS  PubMed Central  Google Scholar 

  10. 10.

    Lykke-Andersen J, Shu MD, Steitz JA: Communication of the position of exon-exon junctions to the mRNA surveillance machinery by the protein RNPS1. Science. 2001, 293: 1836-1839. 10.1126/science.1062786.

    PubMed  CAS  Article  Google Scholar 

  11. 11.

    Reichert VL, Le Hir H, Jurica MS, Moore MJ: 5' exon interactions within the human spliceosome establish a framework for exon junction complex structure and assembly. Genes Dev. 2002, 16: 2778-2791. 10.1101/gad.1030602.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  12. 12.

    Le Hir H, Gatfield D, Izaurralde E, Moore MJ: The exon-exon junction complex provides a binding platform for factors involved in mRNA export and nonsense-mediated mRNA decay. EMBO J. 2001, 20: 4987-4997. 10.1093/emboj/20.17.4987.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  13. 13.

    Dostie J, Dreyfuss G: Translation is required to remove Y14 from mRNAs in the cytoplasm. Curr Biol. 2002, 12: 1060-1067. 10.1016/S0960-9822(02)00902-8.

    PubMed  CAS  Article  Google Scholar 

  14. 14.

    Maquat LE: Nonsense-mediated mRNA decay. Curr Biol. 2002, 12: R196-R197. 10.1016/S0960-9822(02)00747-9.

    PubMed  CAS  Article  Google Scholar 

  15. 15.

    Buhler M, Wilkinson MF, Muhlemann O: Intranuclear degradation of nonsense codon-containing mRNA. EMBO Rep. 2002, 3: 646-651. 10.1093/embo-reports/kvf129.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  16. 16.

    Ishigaki Y, Li XJ, Serin G, Maquat LE: Evidence for a pioneer round of mRNA translation: mRNAs subject to nonsense-mediated decay in mammalian cells are bound by CBP80 and CBP20. Cell. 2001, 106: 607-617. 10.1016/S0092-8674(01)00475-5.

    PubMed  CAS  Article  Google Scholar 

  17. 17.

    Nagy E, Maquat LE: A rule for termination-codon position within intron-containing genes: when nonsense affects RNA abundance. Trends Biochem Sci. 1998, 23: 198-199. 10.1016/S0968-0004(98)01208-0.

    PubMed  CAS  Article  Google Scholar 

  18. 18.

    Gonzalez CI, Ruiz-Echevarria MJ, Vasudevan S, Henry MF, Peltz SW: The yeast hnRNP-like protein Hrp1/Nab4 marks a transcript for nonsense-mediated mRNA decay. Mol Cell. 2000, 5: 489-499. 10.1016/S1097-2765(00)80443-8.

    PubMed  CAS  Article  Google Scholar 

  19. 19.

    Gatfield D, Unterholzner L, Ciccarelli FD, Bork P, Izaurralde E: Nonsense-mediated mRNA decay in Drosophila: at the intersection of the yeast and mammalian pathways. EMBO J. 2003, 22: 3960-3970. 10.1093/emboj/cdg371.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  20. 20.

    Cali BM, Anderson P: mRNA surveillance mitigates genetic dominance in Caenorhabditis elegans. Mol Gen Genet. 1998, 260: 176-184. 10.1007/s004380050883.

    PubMed  CAS  Article  Google Scholar 

  21. 21.

    Li S, Wilkinson MF: Nonsense surveillance in lymphocytes?. Immunity. 1998, 8: 135-141. 10.1016/S1074-7613(00)80466-5.

    PubMed  CAS  Article  Google Scholar 

  22. 22.

    Alberts B, Johnson A, Lewis J, Raff M, Roberts K, Walter P: Molecular Biology of the Cell. 2002, New York: Garland Science, 4

    Google Scholar 

  23. 23.

    Bregeon D, Doddridge ZA, You HJ, Weiss B, Doetsch PW: Transcriptional mutagenesis induced by uracil and 8-oxoguanine in Escherichia coli. Mol Cell. 2003, 12: 959-970. 10.1016/S1097-2765(03)00360-5.

    PubMed  CAS  Article  Google Scholar 

  24. 24.

    Wagner E, Lykke-Andersen J: mRNA surveillance: the perfect persist. J Cell Sci. 2002, 115: 3033-3038.

    PubMed  CAS  Google Scholar 

  25. 25.

    Vincent MC, Pujo AL, Olivier D, Calvas P: Screening for PAX6 gene mutations is consistent with haploinsufficiency as the main mechanism leading to various ocular defects. Eur J Hum Genet. 2003, 11: 163-169. 10.1038/sj.ejhg.5200940.

    PubMed  CAS  Article  Google Scholar 

  26. 26.

    Kerr TP, Sewry CA, Robb SA, Roberts RG: Long mutant dystrophins and variable phenotypes: evasion of nonsense-mediated decay?. Hum Genet. 2001, 109: 402-407. 10.1007/s004390100598.

    PubMed  CAS  Article  Google Scholar 

  27. 27.

    Hutchinson S, Furger A, Halliday D, Judge DP, Jefferson A, Dietz HC, Firth H, Handford PA: Allelic variation in normal human FBN1 expression in a family with Marfan syndrome: a potential modifier of phenotype?. Hum Mol Genet. 2003, 12: 2269-2276. 10.1093/hmg/ddg241.

    PubMed  CAS  Article  Google Scholar 

  28. 28.

    Lamba JK, Adachi M, Sun D, Tammur J, Schuetz EG, Allikmets R, Schuetz JD: Nonsense mediated decay downregulates conserved alternatively spliced ABCC4 transcripts bearing nonsense codons. Hum Mol Genet. 2003, 12: 99-109. 10.1093/hmg/ddg011.

    PubMed  CAS  Article  Google Scholar 

  29. 29.

    Sureau A, Gattoni R, Dooghe Y, Stevenin J, Soret J: SC35 autoregulates its expression by promoting splicing events that destabilize its mRNAs. EMBO J. 2001, 20: 1785-1796. 10.1093/emboj/20.7.1785.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  30. 30.

    Wilson GM, Sun Y, Sellers J, Lu H, Penkar N, Dillard G, Brewer G: Regulation of AUF1 expression via conserved alternatively spliced elements in the 3' untranslated region. Mol Cell Biol. 1999, 19: 4056-4064.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  31. 31.

    Mitrovich QM, Anderson P: Unproductively spliced ribosomal protein mRNAs are natural targets of mRNA surveillance in C. elegans. Genes Dev. 2000, 14: 2173-2184. 10.1101/gad.819900.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  32. 32.

    Morrison M, Harris KS, Roth MB: smg mutants affect the expression of alternatively spliced SR protein mRNAs in Caenorhabditis elegans. Proc Natl Acad Sci USA. 1997, 94: 9782-9785. 10.1073/pnas.94.18.9782.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  33. 33.

    Lelivelt MJ, Culbertson MR: Yeast Upf proteins required for RNA surveillance affect global expression of the yeast transcriptome. Mol Cell Biol. 1999, 19: 6710-6719.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  34. 34.

    Le Guiner C, Gesnel MC, Breathnach R: TIA-1 or TIAR is required for DT40 cell viability. J Biol Chem. 2003, 278: 10465-10476. 10.1074/jbc.M212378200.

    PubMed  CAS  Article  Google Scholar 

  35. 35.

    Wollerton MC, Gooding C, Wagner EJ, Garcia-Blanco MA, Smith CWJ: Autoregulation of polypyrimidine tract binding protein by alternative splicing leading to nonsense-mediated decay. Molecular Cell. 2004, 13: 91-100. 10.1016/S1097-2765(03)00502-1.

    PubMed  CAS  Article  Google Scholar 

  36. 36.

    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.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  37. 37.

    Green RE, Lewis BP, Hillman RT, Blanchette M, Lareau LF, Garnett AT, Rio DC, Brenner SE: Widespread predicted nonsense-mediated mRNA decay of alternatively-spliced transcripts of human normal and disease genes. Bioinformatics. 2003, 19 (Suppl 1): I118-I121. 10.1093/bioinformatics/btg1015.

    PubMed  Article  Google Scholar 

  38. 38.

    Medghalchi SM, Frischmeyer PA, Mendell JT, Kelly AG, Lawler AM, Dietz HC: Rent1, a trans-effector of nonsense-mediated mRNA decay, is essential for mammalian embryonic viability. Hum Mol Genet. 2001, 10: 99-105. 10.1093/hmg/10.2.99.

    PubMed  CAS  Article  Google Scholar 

  39. 39.

    Boeckmann B, Bairoch A, Apweiler R, Blatter MC, Estreicher A, Gasteiger E, Martin MJ, Michoud K, O'Donovan C, Phan I, et al: The SWISS-PROT protein knowledgebase and its supplement TrEMBL in 2003. Nucleic Acids Res. 2003, 31: 365-370. 10.1093/nar/gkg095.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  40. 40.

    Benson DA, Karsch-Mizrachi I, Lipman DJ, Ostell J, Wheeler DL: GenBank. Nucleic Acids Res. 2003, 31: 23-27. 10.1093/nar/gkg057.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  41. 41.

    Pruitt KD, Maglott DR: RefSeq and LocusLink: NCBI gene-centered resources. Nucleic Acids Res. 2001, 29: 137-140. 10.1093/nar/29.1.137.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  42. 42.

    Wheelan SJ, Church DM, Ostell JM: Spidey: a tool for mRNA-to-genomic alignments. Genome Res. 2001, 11: 1952-1957.

    PubMed  CAS  PubMed Central  Google Scholar 

  43. 43.

    Horikawa Y, Oda N, Cox NJ, Li X, Orho-Melander M, Hara M, Hinokio Y, Lindner TH, Mashima H, Schwarz PE, et al: Genetic variation in the gene encoding calpain-10 is associated with type 2 diabetes mellitus. Nat Genet. 2000, 26: 163-175. 10.1038/79876.

    PubMed  CAS  Article  Google Scholar 

  44. 44.

    Baier LJ, Permana PA, Yang X, Pratley RE, Hanson RL, Shen GQ, Mott D, Knowler WC, Cox NJ, Horikawa Y, et al: A calpain-10 gene polymorphism is associated with reduced muscle mRNA levels and insulin resistance. J Clin Invest. 2000, 106: R69-R73.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  45. 45.

    Yang X, Pratley RE, Baier LJ, Horikawa Y, Bell GI, Bogardus C, Permana PA: Reduced skeletal muscle calpain-10 transcript level is due to a cumulative decrease in major isoforms. Mol Genet Metab. 2001, 73: 111-113. 10.1006/mgme.2001.3171.

    PubMed  CAS  Article  Google Scholar 

  46. 46.

    Duncan PI, Stojdl DF, Marius RM, Bell JC: In vivo regulation of alternative pre-mRNA splicing by the Clk1 protein kinase. Mol Cell Biol. 1997, 17: 5996-6001.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  47. 47.

    Duncan PI, Stojdl DF, Marius RM, Scheit KH, Bell JC: The Clk2 and Clk3 dual-specificity protein kinases regulate the intranuclear distribution of SR proteins and influence pre-mRNA splicing. Exp Cell Res. 1998, 241: 300-308. 10.1006/excr.1998.4083.

    PubMed  CAS  Article  Google Scholar 

  48. 48.

    Menegay HJ, Myers MP, Moeslein FM, Landreth GE: Biochemical characterization and localization of the dual specificity kinase CLK1. J Cell Sci. 2000, 113: 3241-3253.

    PubMed  CAS  Google Scholar 

  49. 49.

    Hanes J, von der Kammer H, Klaudiny J, Scheit KH: Characterization by cDNA cloning of two new human protein kinases. Evidence by sequence comparison of a new family of mammalian protein kinases. J Mol Biol. 1994, 244: 665-672. 10.1006/jmbi.1994.1763.

    PubMed  CAS  Article  Google Scholar 

  50. 50.

    Modrek B, Lee CJ: Alternative splicing in the human, mouse and rat genomes is associated with an increased frequency of exon creation and/or loss. Nat Genet. 2003, 34: 177-180. 10.1038/ng1159.

    PubMed  CAS  Article  Google Scholar 

  51. 51.

    Carter MS, Doskow J, Morris P, Li S, Nhim RP, Sandstedt S, Wilkinson MF: A regulatory mechanism that detects premature nonsense codons in T-cell receptor transcripts in vivo is reversed by protein synthesis inhibitors in vitro. J Biol Chem. 1995, 270: 28995-29003. 10.1074/jbc.270.48.28995.

    PubMed  CAS  Article  Google Scholar 

  52. 52.

    Noensie EN, Dietz HC: A strategy for disease gene identification through nonsense-mediated mRNA decay inhibition. Nat Biotechnol. 2001, 19: 434-439. 10.1038/88099.

    PubMed  CAS  Article  Google Scholar 

  53. 53.

    Lei XD, Chapman B, Hankinson O: Loss of cyp1a1 messenger rna expression due to nonsense-mediated decay. Mol Pharmacol. 2001, 60: 388-393.

    PubMed  CAS  Google Scholar 

  54. 54.

    Thome M, Tschopp J: Regulation of lymphocyte proliferation and death by FLIP. Nat Rev Immunol. 2001, 1: 50-58. 10.1038/35095508.

    PubMed  CAS  Article  Google Scholar 

  55. 55.

    Screaton GR, Xu XN, Olsen AL, Cowper AE, Tan R, McMichael AJ, Bell JI: LARD: a new lymphoid-specific death domain containing receptor regulated by alternative pre-mRNA splicing. Proc Natl Acad Sci USA. 1997, 94: 4615-4619. 10.1073/pnas.94.9.4615.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  56. 56.

    Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ: Basic local alignment search tool. J Mol Biol. 1990, 215: 403-410. 10.1006/jmbi.1990.9999.

    PubMed  CAS  Article  Google Scholar 

  57. 57.

    Lander ES, Linton LM, Birren B, Nusbaum C, Zody MC, Baldwin J, Devon K, Dewar K, Doyle M, FitzHugh W, et al: Initial sequencing and analysis of the human genome. Nature. 2001, 409: 860-921. 10.1038/35057062.

    PubMed  CAS  Article  Google Scholar 

  58. 58.

    Abril JF, Guigo R: gff2ps: visualizing genomic annotations. Bioinformatics. 2000, 16: 743-744. 10.1093/bioinformatics/16.8.743.

    PubMed  CAS  Article  Google Scholar 

  59. 59.

    Myers EW, Miller W: Approximate matching of regular expressions. Bull Math Biol. 1989, 51: 5-37. 10.1016/S0092-8240(89)80046-1.

    PubMed  CAS  Article  Google Scholar 

  60. 60.

    Boguski MS, Lowe TM, Tolstoshev CM: dbEST - database for "expressed sequence tags". Nat Genet. 1993, 4: 332-333. 10.1038/ng0893-332.

    PubMed  CAS  Article  Google Scholar 

  61. 61.

    WU-BLAST archives. []

  62. 62.

    Database of predicted C. intestinalis peptides. []

  63. 63.

    Dehal P, Satou Y, Campbell RK, Chapman J, Degnan B, De Tomaso A, Davidson B, Di Gregorio A, Gelpke M, Goodstein DM, et al: The draft genome of Ciona intestinalis: insights into chordate and vertebrate origins. Science. 2002, 298: 2157-2167. 10.1126/science.1080049.

    PubMed  CAS  Article  Google Scholar 

  64. 64.

    HMMER: sequence analysis using profile hidden Markov models. []

  65. 65.

    Thompson JD, Higgins DG, Gibson TJ: CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 1994, 22: 4673-4680.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  66. 66.

    Adachi J, Hasegawa M: MOLPHY version 2.3: Programs for Molecular Phylogenetics Based on Maximum Likelihood. 1996, Tokyo: Institute of Statistical Mathematics

    Google Scholar 

  67. 67.

    Database of predicted C. intestinalis transcripts. []

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We thank Rajiv Bhatnagar, Liana Lareau, Don Rio, Marco Blanchette, Jasper Rine, Karsten Weis and Aaron Garnett for helpful discussions. This work was supported by a Searle Scholarship (01-L-116), NIH grants K22 HG00056 and T32 HG00047, and the Guidant Bioengineering Summer Research Program.

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Correspondence to Steven E Brenner.

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R Tyler Hillman, Richard E Green contributed equally to this work.

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Hillman, R.T., Green, R.E. & Brenner, S.E. An unappreciated role for RNA surveillance. Genome Biol 5, R8 (2004).

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  • Alternative Splice
  • Additional Data File
  • Termination Codon
  • Premature Termination Codon
  • mRNA Isoforms