Alternative splicing and nonsense-mediated decay regulate telomerase reverse transcriptase (TERT) expression during virus-induced lymphomagenesis in vivo
© Amor et al; licensee BioMed Central Ltd. 2010
Received: 3 June 2010
Accepted: 21 October 2010
Published: 21 October 2010
Telomerase activation, a critical step in cell immortalization and oncogenesis, is partly regulated by alternative splicing. In this study, we aimed to use the Marek's disease virus (MDV) T-cell lymphoma model to evaluate TERT regulation by splicing during lymphomagenesis in vivo, from the start point to tumor establishment.
We first screened cDNA libraries from the chicken MDV lymphoma-derived MSB-1 T- cell line, which we compared with B (DT40) and hepatocyte (LMH) cell lines. The chTERT splicing pattern was cell line-specific, despite similar high levels of telomerase activity. We identified 27 alternative transcripts of chicken TERT (chTERT). Five were in-frame alternative transcripts without in vitro telomerase activity in the presence of viral or chicken telomerase RNA (vTR or chTR), unlike the full-length transcript. Nineteen of the 22 transcripts with a premature termination codon (PTC) harbored a PTC more than 50 nucleotides upstream from the 3' splice junction, and were therefore predicted targets for nonsense-mediated decay (NMD). The major PTC-containing alternatively spliced form identified in MSB1 (ie10) was targeted to the NMD pathway, as demonstrated by UPF1 silencing. We then studied three splicing events separately, and the balance between in-frame alternative splice variants (d5f and d10f) plus the NMD target i10ec and constitutively spliced chTERT transcripts during lymphomagenesis induced by MDV indicated that basal telomerase activity in normal T cells was associated with a high proportion of in-frame non functional isoforms and a low proportion of constitutively spliced chTERT. Telomerase upregulation depended on an increase in active constitutively spliced chTERT levels and coincided with a switch in alternative splicing from an in-frame variant to NMD-targeted variants.
TERT regulation by splicing plays a key role in telomerase upregulation during lymphomagenesis, through the sophisticated control of constitutive and alternative splicing. Using the MDV T-cell lymphoma model, we identified a chTERT splice variant as a new NMD target.
The telomeric enzyme complex, consisting of a telomerase reverse transcriptase (TERT) and an RNA template (TR), adds terminal telomeric repeats to the end of the chromosome, to maintain telomere length during cell proliferation [1, 2]. Most normal somatic cells lack telomerase activity, whereas telomerase activation is observed in proliferating cells and cancer cells [3, 4]. Telomerase activity is highly regulated in lymphocytes, being expressed only in activated lymphocytes . In humans, the hTR transcript is constitutively produced, whereas the production of hTERT is highly regulated at both the transcriptional and post-transcriptional levels [6, 7]. Alternative splicing of the hTERT transcript plays a role in this regulation and 10 alternatively spliced sites have been identified in the hTERT gene . Notably, the alpha isoform, corresponding to an in-frame deletion in the RT motif, appears to be a dominant inhibitor of telomerase activity [9, 10].
Recent studies have demonstrated that alternative splicing is an important gene regulation mechanism, helping to increase the diversity of proteins by favoring the production of large numbers of isoforms with dominant positive or negative functions . However, almost one third of all alternative transcripts harbor a premature termination codon (PTC) and most are thought to be degraded by the nonsense-mediated mRNA decay (NMD) pathway .
NMD occurs in all eukaryotic cells. This cell surveillance system detects and rapidly degrades aberrant mRNAs containing PTCs (for reviews, see [13, 14]). Termination codons are generally considered premature if they occur more than 50 to 55 nucleotides upstream from a final splice site recognized by the exon junction complex (EJC). The EJC serves as a platform for the binding of UPF factors, which are considered to be the conserved core of the NMD machinery. UPF1 is an ATP-dependent RNA helicase and RNA-dependent ATPase activated by phosphorylation. It is a crucial element of the NMD machinery, because silencing of the upf1 gene results in the stabilization of PTC-containing mRNAs in all organisms in which NMD has been investigated. This surveillance mechanism not only eliminates abnormal transcripts, but also controls transcript levels through a global system known as RUST (regulated unproductive splicing and translation) [15, 16]. Several recent studies have demonstrated that the role of alternative splicing in gene regulation has been largely underestimated and have shown that this process is involved in homeostatic regulation, pathogenesis  and, particularly, in cancers [18, 19].
Gallid herpesvirus 2 (GaHV-2), also known as Marek's Disease Virus (MDV), is an avian oncogenic alphaherpesvirus that induces T-cell lymphomas in chickens. These tumors develop within six weeks of infection in birds, making this model a unique asset for studies of the kinetics of disease induction and progression in a natural host system. This model has already proved valuable for studies of human lymphoma . Indeed, Marek's disease is the only naturally occurring model for human lymphomas involving the overexpression of CD30 . GaHV-2 is also the only virus harboring a viral homolog of the telomerase RNA template (vTR), with a sequence 88% identical to that of the chicken telomerase RNA (chTR). Functional analysis has shown that vTR can reconstitute telomerase activity by interacting with chicken TERT (chTERT) more efficiently than chTR . Furthermore, vTR expression increases during GaHV-2 lymphomagenesis and this increase is correlated with the upregulation of telomerase activity, which is not associated with an upregulation of chTERT transcription [23, 24]. Telomerase is also activated by a number of human oncogenic viruses , but investigations in this case are obviously restricted to in vitro analyses of cell lines derived from tumors or transformed in vitro. The chicken telomerase has a number of key features in common with the human enzyme, in terms of the organization of the TERT and TR genes and the regulation of telomerase activity . Furthermore, as for hTERT, many alternative variants of chTERT have been identified and are thought to play a role in the regulation of telomerase activity [26, 27]
In this study, we investigated the alternative splicing of chTERT in the MDV lymphomagenesis model. We report the identification of 27 alternative transcripts of chicken TERT cloned during a comparison of three different chicken cell lines including MSB-1, a MDV tumor cell line. Five alternative transcripts were in-frame transcripts, whereas the other 22 were found to harbor a PTC. We then demonstrated that the in-frame transcripts generated proteins with no telomerase activity in vitro, whereas telomerase activity was detected for the products of constitutively spliced transcripts. The major PTC-containing variant found in the MDV cell line was shown to be a target of NMD in an upf1 silencing test. Finally, investigation of the splicing-mediated regulation of chTERT in vivo, in MDV-infected chickens, demonstrated that basal telomerase activity in normal T cells was associated with a high ratio of in-frame non-functional isoforms to functional constitutively spliced chTERT. During the upregulation of telomerase associated with lymphomagenesis, an increase in active constitutively spliced chTERT transcript levels was observed that coincided with a switch in alternative splicing from the in-frame type to the NMD type. These results suggest that the regulation of telomerase activity is partly dependent on the fine regulation of splicing of chTERT, regulating the abundance of functional chTERT mRNA.
Complex profile of chTERT alternative transcripts
The ratio of constitutively to alternatively spliced TERT transcripts was the first major difference identified between cell lines. Constitutively spliced transcripts accounted for about half of all transcripts in both lymphoid cell lines (52.4% and 47.6% for MSB1 and DT40, respectively), but only 24.4% of transcripts in the LMH cell line. However, no significant differences in telomerase activity were observed between the three cell lines (telomerase activity of 152272 for MSB1, 165818 for DT40 and 151115 for LMH) and there was therefore no clear correlation between this ratio and telomerase activity. In addition to constitutively spliced chTERT, we identified 27 alternative transcripts generated through the five typical splicing events: exon skipping, inclusion of a new exon cassette, cases of intron retention, use of alternative splice donor sites and use of alternative splice acceptor sites. Most of the alternative transcripts were generated by one of the four frequent splicing events: i7ec, i10ec, d5f and d8f. Each cell line displayed a number of rare specific transcripts generated by a specific combination of the four major events or a combination of one or more of these events with a rare splicing event (Figure 1).
The LMH cell line displayed a preferential deletion of exons, (Figure 1). By contrast, lymphoid cell lines were characterized by the insertion of introns generated by exonization (inclusion of intronic sequences in constitutive transcripts), through the formation of exon cassettes or the retention of all or part of an intron (Figure 1). Nevertheless, we observed differences in the distribution of splicing events between MSB1 T cells and DT40 B cells. For instance, major differences were seen for one of the major splicing events, i10ec (alone or in association with other splicing events), which was more frequently detected in MSB-1 than in DT40 cells (28.3% versus 8.2%).
None of the in-frame isoforms of chTERT is functional
We assessed the telomerase activity of three reconstituted in-frame isoforms (Figure 2). Isoforms i7ec and d5f were identified as alternative transcripts (Figure 1) and isoform d10f was reconstructed for individual testing of the effect of the d10f splicing event, on which we subsequently focused specifically. We inserted the cDNAs of the isoforms downstream from the T7 promoter, for the assessment of telomerase activity in an in vitro assay . Telomerase activity was measured in the presence of in vitro transcribed vTR or chTR. Consistent with published results , the full-length chTERT transcript reconstituted an efficient telomerase complex with both TRs with vTR that was 58% more efficient than chTR, whereas none of the in-frame spliced isoforms reconstituted telomerase activity. Thus, i7ec, despite the preservation of its RT motifs, displayed no telomerase activity and, as expected, in-frame isoforms with deletions in the RT domains were not able to reconstitute telomerase activity. As exon 5 (d5f) was deleted from all the four remaining in-frame isoforms other than i7ec, (Figure 1), we can conclude that all the in-frame isoforms are inactive. We then assessed the dominant negative function of these isoforms on telomerase activity when produced together with the active full-length chTERT (Figure 2C). All the isoforms acted as negative regulators, with inhibition levels of 74% for d5f to 58% for d10f when compared with the exclusive expression of full-length chTERT with vTR. No significant difference was seen between chTR and vTR, demonstrating that the inhibition mechanism did not depend on the nucleotide differences identified between vTR and chTR . Thus, all the chTERT isoforms tested seemed to have dominant negative effects on telomerase activity, whether with chTR or vTR.
The i10ec variant undergoes NMD
The increase in telomerase activity during the lymphomagenesis induced by MDV is related to the upregulation of constitutively spliced chTERT at the expense of alternatively spliced in-frame isoforms
Finally, we investigated the contribution of chTERT alternative splicing to the regulation of telomerase activity during the course of the lymphomagenesis induced by MDV. As it is difficult to amplify cDNA from the relatively long chTERT mRNA fragment present at low abundance in PBLs, we developed two independent fragment capillary electrophoresis analysis assays for investigating the dynamics of chTERT splicing regulation in vivo. In our assay, we chose to monitor changes in the ratio of the constitutively spliced transcript to variants resulting from two major splicing events, d5f and i10ec, identified in the MSB1 cell line, currently used as the reference cell line in investigations of Marek's disease lymphoma and displaying some of the characteristics of lymphoma cells in vivo. Variant d5f encodes a non-functional isoform of chTERT and i10ec, generating a variant targeted by the NMD pathway. Furthermore, the assay detecting the i10ec variant also detected the d10f variant, which would also be expected to generate a non-functional isoform, as demonstrated by the in vitro telomerase assay (Figure 2). Our assays were first optimized with the CD4+-sorted MSB1 cell line. The results obtained in fragment capillary electrophoresis analysis assays of cDNA samples were similar to those obtained for library analysis, although the ratios differed very slightly (see additional file 1: comparison of cDNA library and fragment analysis). These results confirm that fragment analysis is an appropriate technique for studying spliced chTERT and is suitable for use with sorted chicken CD4+ T cells.
However, the changes in splicing pattern differed between variants 5 and 10. For the d5f variant, we observed a progressive increase in the levels of constitutively spliced transcripts from day 7 (2.3%), peaking at d22 (63.9%) (Figure 4A). By contrast, with variant 10 (encompassing both d10f and i10ec), the levels of constitutively spliced transcript increased considerably between d0 and d7 (from 0.7% to 66.4%) and remained high until day 28 (92.4%) (Figure 4B). Investigation of the ratio of d10f to i10ec showed a clear shift from d10f to i10ec at d7 (Figure 4C). Thus, at d0, the d10f variant, was, with d5f, almost the only alternatively spliced variant detectable. Then, beginning on d7, the proportion of the i10ec variant, which was predicted to be sensitive to NMD, increased strongly (>60%). These results indicate that (i) variants encoding in-frame non functional isoforms (d5f and d10f) predominate in uninfected CD4+ T cells and are associated with basal levels of telomerase activity (ii) the activation of telomerase is accompanied by an increase in the proportion of constitutively spliced transcripts and a decrease in the proportion of in-frame alternatively spliced transcripts, favoring the predicted NMD-sensitive transcript.
The regulation of telomerase activity is a complex process involving several steps operating at both the transcriptional and post-transcriptional levels. In recent years, TERT splicing has been extensively studied in many types of human cells, tissues and tumors and in other organisms, such as plants, nematodes and ciliates . A number of different alternative transcripts have been described, but little is known about the cause of splicing variant production and the ways in which splicing variant levels are regulated . This is particularly true for the regulation of splicing during the cell transformation process and the dynamics of this process in vivo. In this study, we carried out RT-PCR fragment analysis to study the dynamics of the ratio of the constitutively spliced productive form of chTERT to three alternatively spliced non productive forms -- one NMD-sensitive transcript and two in-frame transcripts -- in chicken CD4+ T cells, during a lymphomagenic process induced by MDV, an oncogenic herpes virus, in its natural host. In our model, lymphoma was observed on day 28 p.i. in 100% of infected chickens, facilitating analyses of the dynamics of gene regulation during oncogenesis in vivo . Another major and unique advantage of our model is that we were able to control the start of tumorigenesis through the inoculation of chickens with the virus. Using this approach, we have previously shown that telomerase activation begins seven days after infection and peaks 22 days after infection, this time point being correlated with the first detection of the tumor in animals. Furthermore, telomerase activation and lymphomagenesis were correlated with upregulation of the vTR transcript, but no upregulation of the chTR and chTERT transcripts was seen [23, 24]. In this study, we investigated telomerase regulation in more detail, by following the regulation of chTERT splicing in this model. Constitutively spliced transcript was almost undetectable at d0 in CD4+ T lymphocytes, but its levels gradually increased, peaking 22 days after infection, on the day of lymphoma onset. These data are the first to be obtained in vivo and are consistent with previous in vitro observations after the v-Rel transformation of spleen cells from chickens . Moreover, the regulation of telomerase activity in human T lymphocytes seems to be similar, as full-length hTERT is undetectable in normal T cells and an increase in telomerase activity in activated T cells is associated with the induction of full-length hTERT mRNA production . We also confirmed the results obtained for in vitro analyses of human tissues, with telomerase activation involving the induction, or a switch to production of the full-length hTERT mRNA, as shown in various tissues [31–34].
Studies on spliced hTERT transcripts have generally focused on two major isoforms of hTERT: alpha (in-frame isoform with a 36 bp deletion in motif A) and beta (isoform introducing a PTC in exon 10) . The in-frame alpha isoform of hTERT has been shown to regulate telomerase activity negatively, acting as a dominant negative inhibitor [9, 10]. We identified five in-frame isoforms of chTERT, all of which had modifications affecting the RT motifs of telomerase. We have shown that three reconstituted in-frame isoforms, i7ec, d5f and d10f, are inactive, being unable to reconstitute telomerase activity in vitro with either vTR or chTR. These isoforms also seem to act as negative regulators, as the association of the full-length chTERT transcript with an in-frame isoform decreased telomerase activity by a factor of 2 to 2.5 in the in vitro telomerase assay (Figure 2C). We can therefore hypothesize that the low basal levels of telomerase activity in normal T lymphocytes are controlled by in-frame non-functional isoforms, as these are almost the only isoforms detected (>99%). The basal telomerase activity observed at d0 (Figure 4) was associated with very low levels of constitutively spliced active chTERT transcripts (0.5%), consistent with a previous study  demonstrating that telomerase-positive cell lines contain only a few molecules of functional hTERT mRNA.
We also observed that telomerase activation associated with an increase in constitutively spliced transcript levels was accompanied by a switch in the profile of alternative transcripts from in-frame transcripts encoding non functional isoforms to NMD-sensitive transcripts. The ratio of the NMD-sensitive i10ec to the in-frame d10f increased markedly with the upregulation of telomerase activity, from d7 onwards (Figure 4). The PTC of i10ec was located 74 nucleotides upstream from the last exon-exon junction, consistent with the definition of PTCs targeted by the NMD pathway. Nevertheless, the NMD sensitivity of the PTC-containing i10ec transcript was definitively confirmed by UPF1 silencing, which increased i10ec levels by a factor of up to 1.7 (Figure 3), consistent with previous reports of a increase in mRNA levels by a factor of 1.8 for PTC-containing COL alpha-2  or H-ras . The chTERT i10ec splice variant was thus identified as a new NMD target. These results confirm the hypothesis put forward by Chang H and Delany M. E. (2006) in a study identifying 19 chTERT spliced variants in different cell types, 16 of which (including i10ec) were predicted to have a PTC leading to degradation by the NMD pathway.
Our findings strongly suggest that the regulation of TERT splicing plays a key role in the upregulation of telomerase activity in vivo, by controlling the proportion of active constitutively spliced transcripts with an in-frame negative regulator and a third partner, an NMD-sensitive transcript. Regulation of the ratio of NMD-sensitive transcript to in-frame transcript encoding the negative regulator isoform also plays a key role in suppressing telomerase activity in normal cells, in which negative regulator isoforms predominate, whereas NMD-sensitive transcripts become predominant when telomerase is upregulated during oncogenesis.
Cell line culture and experimental assay in vivo
Three avian cell lines were used: GaHV-2 lymphoma-derived MSB-1 T cells  currently used as the reference cell line in Marek's disease investigation, the B-cell line DT40  and the LMH hepatocellular carcinoma cell line . Six-week-old White Leghorn specified pathogen-free susceptible B13B13 chickens were infected with GaHV-2 RB-1B virus . Blood was obtained from two birds at 7, 14 and 22 days post-infection (dpi) and from one bird at 28 dpi, as the other bird had already died. The first time point (0 dpi), corresponded to the pooling of 2 ml blood samples from each of the chickens, taken before infection. All experimental procedures were conducted in accordance with approved protocols for the use of animals in research.
Transient transfection with siRNA
Transient transfection with siRNA was carried out in six-well plates. LMH cells were transfected with 25 or 50 pmol of siRNA per well, in the presence of Lipofectamine 2000 reagent (Invitrogen), according to the manufacturer's protocol. Cells were harvested 48 hours later for RT-PCR analysis of UPF1, GAPDH and chTERT splicing variant i10ec. The siRNA targeting UPF1 (siUPF1) [GGUGGAAGAUGUAAUUAUU] was designed and purchased from Eurogentec.
Flow cytometry analysis and cell sorting
Peripheral blood lymphocytes (PBL) were isolated from blood  and immunolabeled for the sorting of CD4+ T cells. The CD4 antigen was detected by incubation with the monoclonal antibody (Ab) CD4-UNLB, 8210-01 (Southern Biotechnology), followed by goat anti-mouse Ig conjugated to R-phycoerythrin (PE) (Jackson Immunoresearch). The cells were then analyzed by flow cytometry and PE-labeled cells were sorted and recovered for RNA and protein extraction, with a MoFlo™ apparatus (Beckmann Coulter, Fort Collins, USA) and a high-speed cell sorter. The sorting speed was around 35,000 cells per second.
RNA extraction, cDNA synthesis and PCR amplification
Primers used in the study
splice variant 5
splice variant 5
splice variant 10
splice variant 10
Generation and screening of cell-line cDNA libraries
PCR products corresponding to the chTERT RT region were inserted into the pGEM-T Easy vector (Promega) and positive clones were randomly selected after screening for the presence of the insert by PCR. Individual selected clones were then screened for the type of alternative transcript, by running PCR with a panel of primer pairs (Table 1) covering each of the exons (4 to 15) of the chTERT cDNA. For the validation of exon PCR screening, 13 representative clones were also completely sequenced (MWG Biotech). Sequences were analyzed with DNASTAR sequence analysis software (Lasergene).
PCR fragment analysis of chTERT splicing variants 5 and 10
The ratios of constitutively to alternatively spliced transcripts from cell lines and sorted CD4+ T cells were determined by fluorescent fragment analysis [23, 24]. Nested-PCR was performed on the first PCR amplification product of the chTERT RT region, in Ready Master Mix 1.1X (Abgene), with specific tetrachlorofluorescein phosphoramidite-labeled forward primers and unlabeled reverse primers specific for exon 5 or 10 (Table 1). Amplification products were analyzed with an automated ABI Prism 310 fragment analyzer (Perkin Elmer Life Sciences) and the ratio of spliced transcripts was determined as a percentage of the peak area for constitutively (C) versus alternatively (A) spliced transcripts. Each assay was performed at least three times.
Reconstitution in vitro of the telomerase complex
The three cDNAs for alternative transcripts of chTERT -- d5f, d10f, and i10ec -- were inserted into pcDNA 3 and the telomerase complex was reconstituted . We incubated 1 μg of vTR or chTR RNA transcribed in vitro with T7 polymerase, and 2 μl of alternatively spliced and full-length chTERT transcripts expressed in the TNT system (Promega). We assessed the inhibition of telomerase activity by the isoforms with 2 μl of the in vitro-translated full-length isoform and 2 μl of in vitro-translated isoform. Aliquots of ribonucleoprotein assembly products were used for the assessment of telomerase activity in the telomere repeat amplification protocol (TRAP) assay .
Telomere repeat amplification protocol (TRAP) assay
The telomerase activity of sorted CD4+ T cells from chicken in in vivo infection assays and of in vitro reconstituted complexes was quantified as previously described [28, 24]. Briefly, telomerase activity was quantified with 500 ng of protein extracted from CD4+ T cells  or 0.3 μl of in vitro ribonucleoprotein assembly products . PCR was carried out with the 6-carboxytetramethylrhodamine-labeled forward primer TS (5'-AATCCGTGCAGCAGAGTT-3') and CX-ext (5'-CCCTAACCCTAACCCTAACCCTAA-3') as the reverse primer. An internal amplification standard (ITAS) was added to the PCR mixture in quantitative TRAP assays or was used independently as a PCR control. PCR products were analyzed by capillary electrophoresis (ABI Prism 310; PerKinElmer Life Sciences). The telomerase activity of each protein extract was estimated by adding together the integrated values for each telomerase elongation product of at least 60 bp.
telomerase reverse transcriptase
premature termination codon, TRAP: telomere repeat amplification protocol
We would like to thank Laurence Mérat, Bruno Campone, Patrice Cousin and Jean Méry for taking care of the chickens used in the experiments. We also thank Dominique Kerboeuf for constructive discussions about flow cytometry analysis and Emmanuel Kut, Laetitia Fragnet, Gregory Douard, Camille and Perrine Rasschaert for their help with the cloning of the alternatively spliced chTERT transcripts, telomerase activity quantification and the screening of cDNA libraries. S. Amor held a PhD grant from Région Centre (France). This work was supported by grants from the Ligue contre le Cancer - Comités du Cher, de l'Indre, de l'Eure (France).
- Greider CW, Blackburn EH: Identification of a specific telomere terminal transferase activity in Tetrahymena extracts. Cell. 1985, 43 (2 Pt 1): 405-413. 10.1016/0092-8674(85)90170-9.View ArticlePubMedGoogle Scholar
- Dong CK, Masutomi K, Hahn WC: Telomerase: regulation, function and transformation. Crit Rev Oncol Hematol. 2005, 54 (2): 85-93. 10.1016/j.critrevonc.2004.12.005.View ArticlePubMedGoogle Scholar
- Kim NW, Piatyszek MA, Prowse KR, Harley CB, West MD, Ho PL, Coviello GM, Wright WE, Weinrich SL, Shay JW: Specific association of human telomerase activity with immortal cells and cancer. Science. 1994, 266 (5193): 2011-2015. 10.1126/science.7605428.View ArticlePubMedGoogle Scholar
- Janknecht R: On the road to immortality: hTERT upregulation in cancer cells. FEBS Lett. 2004, 564 (1-2): 9-13. 10.1016/S0014-5793(04)00356-4.View ArticlePubMedGoogle Scholar
- Pan C, Xue BH, Ellis TM, Peace DJ, Diaz MO: Changes in telomerase activity and telomere length during human T lymphocyte senescence. Exp Cell Res. 1997, 231 (2): 346-353. 10.1006/excr.1997.3475.View ArticlePubMedGoogle Scholar
- Feng J, Funk WD, Wang SS, Weinrich SL, Avilion AA, Chiu CP, Adams RR, Chang E, Allsopp RC, Yu J, et al: The RNA component of human telomerase. Science. 1995, 269 (5228): 1236-1241. 10.1126/science.7544491.View ArticlePubMedGoogle Scholar
- Cong YS, Wright WE, Shay JW: Human telomerase and its regulation. Microbiol Mol Biol Rev. 2002, 66 (3): 407-425. 10.1128/MMBR.66.3.407-425.2002. table of contentsView ArticlePubMedPubMed CentralGoogle Scholar
- Saeboe-Larssen S, Fossberg E, Gaudernack G: Characterization of novel alternative splicing sites in human telomerase reverse transcriptase (hTERT): analysis of expression and mutual correlation in mRNA isoforms from normal and tumour tissues. BMC Mol Biol. 2006, 7: 26-10.1186/1471-2199-7-26.View ArticlePubMedPubMed CentralGoogle Scholar
- Yi X, White DM, Aisner DL, Baur JA, Wright WE, Shay JW: An alternate splicing variant of the human telomerase catalytic subunit inhibits telomerase activity. Neoplasia. 2000, 2 (5): 433-440. 10.1038/sj.neo.7900113.View ArticlePubMedPubMed CentralGoogle Scholar
- Colgin LM, Wilkinson C, Englezou A, Kilian A, Robinson MO, Reddel RR: The hTERTalpha splice variant is a dominant negative inhibitor of telomerase activity. Neoplasia. 2000, 2 (5): 426-432. 10.1038/sj.neo.7900112.View ArticlePubMedPubMed CentralGoogle Scholar
- Kim E, Magen A, Ast G: Different levels of alternative splicing among eukaryotes. Nucleic Acids Res. 2007, 35 (1): 125-131. 10.1093/nar/gkl924.View ArticlePubMedGoogle Scholar
- Muhlemann O, Eberle AB, Stalder L, Zamudio Orozco R: Recognition and elimination of nonsense mRNA. Biochim Biophys Acta. 2008, 1779 (9): 538-549.View ArticlePubMedGoogle Scholar
- Rehwinkel J, Raes J, Izaurralde E: Nonsense-mediated mRNA decay: Target genes and functional diversification of effectors. Trends Biochem Sci. 2006, 31 (11): 639-646. 10.1016/j.tibs.2006.09.005.View ArticlePubMedGoogle Scholar
- Silva AL, Romao L: The mammalian nonsense-mediated mRNA decay pathway: to decay or not to decay! Which players make the decision?. FEBS Lett. 2009, 583 (3): 499-505. 10.1016/j.febslet.2008.12.058.View ArticlePubMedGoogle Scholar
- 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 (1): 189-192. 10.1073/pnas.0136770100.View ArticlePubMedGoogle Scholar
- Lareau LF, Brooks AN, Soergel DA, Meng Q, Brenner SE: The coupling of alternative splicing and nonsense-mediated mRNA decay. Adv Exp Med Biol. 2007, 623: 190-211. full_text.View ArticlePubMedGoogle Scholar
- Nissim-Rafinia M, Kerem B: The splicing machinery is a genetic modifier of disease severity. Trends Genet. 2005, 21 (9): 480-483. 10.1016/j.tig.2005.07.005.View ArticlePubMedGoogle Scholar
- Kim E, Goren A, Ast G: Insights into the connection between cancer and alternative splicing. Trends Genet. 2008, 24 (1): 7-10. 10.1016/j.tig.2007.10.001.View ArticlePubMedGoogle Scholar
- Pettigrew CA, Brown MA: Pre-mRNA splicing aberrations and cancer. Front Biosci. 2008, 13: 1090-1105. 10.2741/2747.View ArticlePubMedGoogle Scholar
- Osterrieder N, Kamil JP, Schumacher D, Tischer BK, Trapp S: Marek's disease virus: from miasma to model. Nat Rev Microbiol. 2006, 4 (4): 283-294. 10.1038/nrmicro1382.View ArticlePubMedGoogle Scholar
- Burgess SC, Young JR, Baaten BJ, Hunt L, Ross LN, Parcells MS, Kumar PM, Tregaskes CA, Lee LF, Davison TF: Marek's disease is a natural model for lymphomas overexpressing Hodgkin's disease antigen (CD30). Proc Natl Acad Sci USA. 2004, 101 (38): 13879-13884. 10.1073/pnas.0305789101.View ArticlePubMedPubMed CentralGoogle Scholar
- Fragnet L, Blasco MA, Klapper W, Rasschaert D: The RNA subunit of telomerase is encoded by Marek's disease virus. J Virol. 2003, 77 (10): 5985-5996. 10.1128/JVI.77.10.5985-5996.2003.View ArticlePubMedPubMed CentralGoogle Scholar
- Shkreli M, Dambrine G, Soubieux D, Kut E, Rasschaert D: Involvement of the oncoprotein c-Myc in viral telomerase RNA gene regulation during Marek's disease virus-induced lymphomagenesis. J Virol. 2007, 81 (9): 4848-4857. 10.1128/JVI.02530-06.View ArticlePubMedPubMed CentralGoogle Scholar
- Debba-Pavard M, Ait-Lounis A, Soubieux D, Rasschaert D, Dambrine G: Vaccination against Marek's disease reduces telomerase activity and viral gene transcription in peripheral blood leukocytes from challenged chickens. Vaccine. 2008, 26 (38): 4904-4912. 10.1016/j.vaccine.2008.07.038.View ArticlePubMedGoogle Scholar
- Bellon M, Nicot C: Regulation of telomerase and telomeres: human tumor viruses take control. J Natl Cancer Inst. 2008, 100 (2): 98-108. 10.1093/jnci/djm269.View ArticlePubMedGoogle Scholar
- Chang H, Delany ME: Complicated RNA splicing of chicken telomerase reverse transcriptase revealed by profiling cells both positive and negative for telomerase activity. Gene. 2006, 379: 33-39. 10.1016/j.gene.2006.04.021.View ArticlePubMedGoogle Scholar
- Hrdlickova R, Nehyba J, Liss AS, Bose HR: Mechanism of telomerase activation by v-Rel and its contribution to transformation. J Virol. 2006, 80 (1): 281-295. 10.1128/JVI.80.1.281-295.2006.View ArticlePubMedPubMed CentralGoogle Scholar
- Fragnet L, Kut E, Rasschaert D: Comparative functional study of the viral telomerase RNA based on natural mutations. J Biol Chem. 2005, 280 (25): 23502-23515. 10.1074/jbc.M501163200.View ArticlePubMedGoogle Scholar
- Sykorova E, Fajkus J: Structure-function relationships in telomerase genes. Biol Cell. 2009, 101 (7): 375-392. 10.1042/BC20080205. 371 p following 392View ArticlePubMedGoogle Scholar
- Jalink M, Ge Z, Liu C, Bjorkholm M, Gruber A, Xu D: Human normal T lymphocytes and lymphoid cell lines do express alternative splicing variants of human telomerase reverse transcriptase (hTERT) mRNA. Biochem Biophys Res Commun. 2007, 353 (4): 999-1003. 10.1016/j.bbrc.2006.12.149.View ArticlePubMedGoogle Scholar
- Fan Y, Liu Z, Fang X, Ge Z, Ge N, Jia Y, Sun P, Lou F, Bjorkholm M, Gruber A, et al: Differential expression of full-length telomerase reverse transcriptase mRNA and telomerase activity between normal and malignant renal tissues. Clin Cancer Res. 2005, 11 (12): 4331-4337. 10.1158/1078-0432.CCR-05-0099.View ArticlePubMedGoogle Scholar
- Villa R, Porta CD, Folini M, Daidone MG, Zaffaroni N: Possible regulation of telomerase activity by transcription and alternative splicing of telomerase reverse transcriptase in human melanoma. J Invest Dermatol. 2001, 116 (6): 867-873. 10.1046/j.1523-1747.2001.01343.x.View ArticlePubMedGoogle Scholar
- Lincz LF, Mudge LM, Scorgie FE, Sakoff JA, Hamilton CS, Seldon M: Quantification of hTERT splice variants in melanoma by SYBR green real-time polymerase chain reaction indicates a negative regulatory role for the beta deletion variant. Neoplasia. 2008, 10 (10): 1131-1137.View ArticlePubMedPubMed CentralGoogle Scholar
- Yokoyama Y, Wan X, Takahashi Y, Shinohara A, Tamaya T: Alternatively spliced variant deleting exons 7 and 8 of the human telomerase reverse transcriptase gene is dominantly expressed in the uterus. Mol Hum Reprod. 2001, 7 (9): 853-857. 10.1093/molehr/7.9.853.View ArticlePubMedGoogle Scholar
- Kilian A, Bowtell DD, Abud HE, Hime GR, Venter DJ, Keese PK, Duncan EL, Reddel RR, Jefferson RA: Isolation of a candidate human telomerase catalytic subunit gene, which reveals complex splicing patterns in different cell types. Hum Mol Genet. 1997, 6 (12): 2011-2019. 10.1093/hmg/6.12.2011.View ArticlePubMedGoogle Scholar
- Yi X, Shay JW, Wright WE: Quantitation of telomerase components and hTERT mRNA splicing patterns in immortal human cells. Nucleic Acids Res. 2001, 29 (23): 4818-4825. 10.1093/nar/29.23.4818.View ArticlePubMedPubMed CentralGoogle Scholar
- Usuki F, Yamashita A, Kashima I, Higuchi I, Osame M, Ohno S: Specific inhibition of nonsense-mediated mRNA decay components, SMG-1 or Upf1, rescues the phenotype of Ullrich disease fibroblasts. Mol Ther. 2006, 14 (3): 351-360. 10.1016/j.ymthe.2006.04.011.View ArticlePubMedGoogle Scholar
- Barbier J, Dutertre M, Bittencourt D, Sanchez G, Gratadou L, de la Grange P, Auboeuf D: Regulation of H-ras splice variant expression by cross talk between the p53 and nonsense-mediated mRNA decay pathways. Mol Cell Biol. 2007, 27 (20): 7315-7333. 10.1128/MCB.00272-07.View ArticlePubMedPubMed CentralGoogle Scholar
- 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 (7): 1785-1796. 10.1093/emboj/20.7.1785.View ArticlePubMedPubMed CentralGoogle Scholar
- Zhang X, Azhar G, Huang C, Cui C, Zhong Y, Huck S, Wei JY: Alternative splicing and nonsense-mediated mRNA decay regulate gene expression of serum response factor. Gene. 2007, 400 (1-2): 131-139. 10.1016/j.gene.2007.06.008.View ArticlePubMedGoogle Scholar
- Palusa SG, Reddy AS: Extensive coupling of alternative splicing of pre-mRNAs of serine/arginine (SR) genes with nonsense-mediated decay. New Phytol. 2010, 185 (1): 83-89. 10.1111/j.1469-8137.2009.03065.x.View ArticlePubMedGoogle Scholar
- Akiyama Y, Kato S: Two cell lines from lymphomas of Marek's disease. Biken J. 1974, 17 (3): 105-116.PubMedGoogle Scholar
- Baba TW, Giroir BP, Humphries EH: Cell lines derived from avian lymphomas exhibit two distinct phenotypes. Virology. 1985, 144 (1): 139-151. 10.1016/0042-6822(85)90312-5.View ArticlePubMedGoogle Scholar
- Kawaguchi T, Nomura K, Hirayama Y, Kitagawa T: Establishment and characterization of a chicken hepatocellular carcinoma cell line, LMH. Cancer Res. 1987, 47 (16): 4460-4464.PubMedGoogle Scholar
- Djeraba A, Bernardet N, Dambrine G, Quere P: Nitric oxide inhibits Marek's disease virus replication but is not the single decisive factor in interferon-gamma-mediated viral inhibition. Virology. 2000, 277 (1): 58-65. 10.1006/viro.2000.0576.View ArticlePubMedGoogle Scholar
- Djeraba-AitLounis A, Soubieux D, Klapper W, Rasschaert D: Induction of telomerase activity in avian lymphoblastoid cell line transformed by Marek's disease virus, MDCC-MSB1. Vet Pathol. 2004, 41 (4): 405-407. 10.1354/vp.41-4-405.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2407/10/571/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.