![]() | ![]() |
Formats:
|
||||||||||||||||||
Copyright © 2005, The National Academy of Sciences Medical Sciences c-Myc induces chromosomal rearrangements through telomere and chromosome remodeling in the interphase nucleus *Manitoba Institute of Cell Biology, University of Manitoba, 675 McDermot Avenue, Winnipeg, MB, Canada R3E 0V9; ‡Department of Imaging Science and Technology, Faculty of Applied Sciences, Quantitative Imaging Group, Delft University of Technology, 2628 CJ Delft, The Netherlands; §Department of Otolaryngology Head and Neck Surgery, Health Sciences Centre, GB421-820 Sherbrook Street, Winnipeg, MB, Canada R3A 1R9; Division of Genetics of Skin Carcinogenesis, German Cancer Research Centre, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany; **Hematology Department, IETG Laboratory, University Hospital Jean Minjoz, 25030 Besançon, France; and ††Hematology Department, EA 3889, IFR140 GFAS, University Hospital Pontchaillou, 35033 Rennes, France‡‡ To whom correspondence should be addressed. E-mail: smai/at/cc.umanitoba.ca. †S.F.L., B.J.V., and Y.G. contributed equally to this work. ¶Present address: Department of Otolaryngology Head and Neck Surgery, Head and Neck Division, The Johns Hopkins University School of Medicine, Baltimore, MD 21205. Edited by George Klein, Karolinska Institutet, Stockholm, Sweden Received October 11, 2004; Accepted May 9, 2005. This article has been cited by other articles in PMC.Abstract In previous work, we showed that telomeres of normal cells are organized within the 3D space of the interphase nucleus in a nonoverlapping and cell cycle-dependent manner. This order is distorted in tumor cell nuclei where telomeres are found in close association forming aggregates of various numbers and sizes. Here we show that c-Myc overexpression induces telomeric aggregations in the interphase nucleus. Directly proportional to the duration of c-Myc deregulation, we observe three or five cycles of telomeric aggregate formation in interphase nuclei. These cycles reflect the onset and propagation of breakage-bridge-fusion cycles that are initiated by end-to-end telomeric fusions of chromosomes. Subsequent to initial chromosomal breakages, new fusions follow and the breakage-bridge-fusion cycles continue. During this time, nonreciprocal translocations are generated. c-Myc-dependent remodeling of the organization of telomeres thus precedes the onset of genomic instability and subsequently leads to chromosomal rearrangements. Our findings reveal that c-Myc possesses the ability to structurally modify chromosomes through telomeric fusions, thereby reorganizing the genetic information. Keywords: genomic instability, 3D nucleus, breakage-bridge-fusion Multiple alterations accompany tumor initiation and progression resulting in the modulation of gene expression and in genomic instability. These interconnected changes occur within nuclei that harbor an altered 3D organization (1–3). In agreement with this concept, recent reports suggest tumor-associated changes of chromosomal organization in an altered 3D nucleus (3–8). However, mechanisms leading to structural changes of telomeres and chromosomes remain elusive. We recently reported that the normal interphase nucleus has a unique 3D telomeric organization that is cell cycle dependent (9, 10). Telomeres are organized in a nonoverlapping manner and align into a central telomeric disk during the late G2 phase of the cell cycle (9). In contrast, tumor cells display an aberrant organization of telomeres that can be objectively measured in nuclei showing telomeric aggregates of various complexity and sizes (9). Constitutive expression of c-Myc due to chromosomal translocations, mutation, or amplification contributes to the development and progression of many cancers (11, 12). c-Myc deregulation directly promotes genomic instability (13), causing locus-specific and karyotypic instability (14–18). Additionally, c-Myc induces illegitimate replication initiation (19, 20), DNA breakage (21), alterations of DNA repair (22, 23), and a low level of point mutations (24, 25). Effects of c-Myc on genomic instability are reversible after a transient experimental activation of c-Myc (15). However, c-Myc continues to generate instability after constitutive deregulation (16). In vivo, c-Myc deregulation directly initiates and promotes tumorigenesis (26–30). When c-Myc deregulation is abolished, in vivo tumorigenesis is reversible, provided that no additional mutations had occurred (29–34). Prompted by the complexity of downstream genetic alterations that result from c-Myc deregulation, we investigated whether c-Myc affected the 3D organization of the mammalian interphase nucleus and whether this remodeling had an impact on genomic stability. We show that c-Myc deregulation causes remodeling of the 3D nuclear organization of telomeres and chromosomes, thus creating the topological conditions that initiate genomic instability. Materials and Methods Cells and Conditional Myc Activation. Culture conditions have been described for Ba/F3 (35) and PreB (36) cells. The plasmacytoma cell line MOPC460D was a gift of J. Mushinski (National Institutes of Health, Bethesda). Cell viability was determined by hemocytometer counts by using trypan blue. The primary mouse plasmacytoma DCPC21 was isolated from a BALB/c mouse (37). v-abl/myc-induced plasmacytomas (38) and primary lymphocytes were collected from BALB/c mice (Central Animal Care protocol 02-039). To activate MycER (39) in Ba/F3 or PreB cells, 105 cells per ml were treated with 100 nM 4-hydroxytamoxifen (4HT). Cells were split 24 h before 4HT treatment. Non-4HT treated control cells were cultivated in ethanol, which is used to dissolve 4HT (25, 26, 39). Two different MycER activation schemes were performed. First, analyses of c-Myc-induced changes in 3D telomere organization were carried out after a single addition of 4HT that was left in the culture medium until its biological effects subsided (40–42). Nuclei were examined every 24 h over a 10-day period. A second time course was performed every 6 h for 120 h (Fig. 1 Immunohistochemistry (IHC). Fluorescent IHC of Myc protein was performed as described in ref. 43 by using a polyclonal anti-c-Myc antibody (N262; Santa Cruz Biotechnology) and a goat anti-rabbit IgG FITC antibody, each at a dilution of 1:100. Analysis was performed by using a Zeiss Axiophot 2 microscope. Images were acquired with a Cooke CCD SensiCam Camera. Cell Death. Apoptotic bodies for control and MycER-activated cells were assessed by two independent observers who scored 300 DAPI-stained nuclei per time point in the presence or absence of MycER activation. Telomere FISH. Ba/F3, PreB, and plasmacytoma cells were collected (200 × g for 10 min) and resuspended in PBS containing 3.7% formaldehyde (Fluka) and incubated for 20 min. Thereafter, the telomere FISH protocol was performed (9, 44) by using Cy3- or FITC-labeled PNA probes (DAKO). Three independent experiments were performed. At least 30 nuclei and 20 metaphases were examined per time point. Imaging of metaphases after telomere FISH was performed by using Zeiss Axioplan 2 with a cooled AxioCam HR B&W, DAPI, Cy3, or FITC filters in combination with Planapo 63x/1.4 oil objective lens. Images were acquired by using axiovision 3.1 (Zeiss) in multichannel mode. Because of the presence of multiple variables, the general linear modeling procedure was used. To test average aggregates among different groups, a two-way ANOVA test was performed for normality and robustness of the data. For details of all tests preformed, see Supporting Materials and Methods, which is published as supporting information on the PNAS web site. 3D Image Acquisition. At least 30 nuclei were analyzed for each time point. axiovision 3.1 with deconvolution module and rendering module were used. For every fluorochrome, the 3D image consists of a stack of 100 images with a sampling distance of 200 nm along the z and 107 nm in the xy direction. The constrained iterative algorithm option was used (45). 3D Image Analysis for Telomeres. Telomere measurements were done with teloview (9, 46). By choosing a simple threshold for the telomeres, a binary image is found. Based on that, the center of gravity of intensities is calculated for every object resulting in a set of coordinates (x, y, z) denoted by crosses on the screen. The integrated intensity of each telomere is calculated because it is proportional to the telomere length (47). The integration region is determined by growing a sphere on top of the found coordinate. After every step of growth (iteration), the sum under this volume (the telomere) is subtracted by the sum just surrounding it (background level). When the process of the growth of the sphere does not contribute to an integrated intensity increase, the algorithm stops and the integrated intensity of the telomere with an automatic background correction is obtained. Chromosome Painting and Measurements of Chromosomal Overlap(s) in Interphase Nuclei. Chromosome painting was carried out as described in ref. 48 by using paints for mouse chromosomes 5 (Cy3), 13 (FITC), 7 (Cy3), 10 (FITC), and 17 (FITC) from Applied Spectral Imaging (Vista, CA). 3D image acquisition of painted nuclei was performed as described above. Measurements of chromosomal overlaps were performed after 3D image acquisition and constrained iterative deconvolution as follows: (i) based on the DAPI counterstain image, we determined the 3D boundary of the nuclear volume. Data outside that volume were ignored. (ii) For each one of the chromosomes, we determined an intensity threshold and referred only to voxels that were above the threshold that belonged to the specific chromosomes. The total volume occupied by each one of the chromosome pairs is measured (V1 and V2). (iii) The volume occupied by both chromosome pairs is measured, Vo. By dividing this value by V1 and by V2, the level of overlap relative to the total volume of each chromosome pair was measured, V0/V1, V0/V2 (for details, see Fig. 8 which is published as supporting information on the PNAS web site). Spectral Karyotyping (SKY). Mouse SKY was performed by using a SKY system (Applied Spectral Imaging) (37). Twenty metaphases were examined per time point. Significant values for chromosomal rearrangements were determined after MycER activation. Mean total chromosomes and numbers of each chromosome observed for control and Myc-activated cells were compared over time by two-way ANOVA. In addition, statistical analyses were performed for the occurrence of translocations, breakages, and fusions over the experimental period of 120 h. P values of <0.05 were considered significant. Only the frequency procedure was used, followed by Fisher's exact test. The P value of the overall study was <0.0001. Supporting Information. For additional information, see Figs. 9–12, Movies 1–3, and Tables 2–4, which are published as supporting information on the PNAS web site. Results The 3D Organization of Telomeres Before c-Myc Activation. We examined whether c-Myc deregulation affected the 3D organization of telomeres in the interphase nucleus. To this end, we analyzed the effect of conditional c-Myc expression in two independent immortalized mouse B lymphocyte lines, Ba/F3 (35) and PreB (36), stably transfected with MycER (39). For both cell lines, we first evaluated the 3D organization of telomeres in nuclei of non-MycER-activated cells by using primary BALB/c B lymphocytes as a control. Consistent with our previous studies (9), telomeres of normal primary BALB/c B nuclei showed nonoverlapping telomere positions as determined by 3D imaging (Fig. 2a
c-Myc-Dependent Disruption of the 3D Telomeric Organization: Formation of Telomeric Aggregates (TAs) in Interphase Nuclei. We next analyzed the effect of conditional c-Myc expression on the 3D organization of telomeres. After a transient MycER activation with 4HT, nuclear c-Myc signals were observed in both PreB and Ba/F3 cells (Fig. 9 b and d). In non-4HT treated control cells, MycER was found in the cytoplasm (Fig. 9 a and c; see also ref. 39). To determine whether c-Myc deregulation affected the 3D organization of telomeres, we performed time course experiments. In the first set of experiments, c-Myc deregulation and 3D telomeric organization were investigated in both PreB and Ba/F3 cells after a single 4HT treatment. Nuclei were analyzed after c-Myc deregulation at 0, 24, 48, 72, and 96 h and at 10 days and compared with nuclei from mock-treated control cells. In both cell lines, analyses of the 3D nuclear organization of telomeres revealed that c-Myc deregulation induced the formation of TAs. TAs are group(s) of telomeres that are found in clusters and, thus, in close association in the interphase nucleus. This 3D telomeric organization is distinct from the normal 3D organization of non-MycER-activated PreB, Ba/F3 cells and primary mouse lymphocytes (Fig. 2
c-Myc Induces Cycles of TAs in Interphase Nuclei. In subsequent experiments, we investigated the time relationship between c-Myc deregulation and the formation of TAs more closely. To this end, cells were harvested every 6 h over a time period of 120 h. We also varied the duration of conditional c-Myc expression (Fig. 1
This time course confirmed that c-Myc deregulation induced TAs. Representative images show that TAs varied in size and numbers per MycER-activated PreB cell nucleus (Fig. 4A b–d The c-Myc-Induced TA Cycles Represent Breakage-Bridge-Fusion (BBF) Cycles and Chromosomal Rearrangements. The cycles of c-Myc induced TAs in PreB nuclei showed similar periodicity for all c-Myc activation periods (Fig. 4B
The nature of c-Myc-induced 3D structural changes in interphase nuclei of conditionally Myc expressing cells was as follows: at peaks of TA formation and thereafter, a significant increase in end-to-end chromosomal fusions over control levels was observed. This result was followed by a significant increase in broken chromosomes and nonreciprocal translocations (Figs. (Figs.5d5d
Next, we investigated whether cells with TAs died during the course of the experiments. If this possibility was the case, we would expect a correlation of cell death in Myc-activated cells at the peak of TA formation or shortly thereafter. The level of apoptosis was ≈2-fold higher in Myc-activated cells than in control cells (Table 1). There was no preference in apoptotic cell death for any specific time point during the 120 h. We concluded that BBF cycles, not apoptosis, contributed to the cycles of TA formation.
3D Organization of Chromosomes in c-Myc Activated Interphase Nuclei. TAs and the initiation of BBF cycles with subsequent chromosomal rearrangements prompted us to investigate whether chromosomes were affected in their 3D nuclear positions during MycER activation. To this end, we examined the overlap of specific chromosomes over the 120-h period. SKY of MycER-activated PreB cells suggested chromosomal rearrangements involving chromosomes 7, 13, and 17. Additional rearrangements were found but did not reach significant levels (data not shown). We examined three combinations of chromosomes over a 96-h period. This period covered all peaks of TA formation (Fig. 4B
Discussion c-Myc Induces Telomeric Aggregates, Fusions, and BBF Cycles. Previous studies have shown that c-Myc triggers a complex network of genomic instability at the level of single genes (14, 15, 19) and whole chromosomes (16–18) (for review, see ref. 13). In addition, c-Myc induces illegitimate replication initiation (19, 20), chromosomal rearrangements (18), DNA breakage, alterations of DNA repair (21–23), and a low level of point mutations (24, 25). A previously uncharacterized mechanism underlying c-Myc-dependent genomic instability at the chromosomal level directly affects the integrity of the telomeres and was revealed in this study. The clear periodicity of the TA cycles that was found with four different Myc-activating treatments suggested a biological relevant Myc-dependent process. Theoretically, cycles of Myc-induced TAs could reflect (i) nuclear remodeling with the transient association and subsequent dissociation of telomeres; (ii) end-to-end chromosomal fusions that initiate BBF cycles (52, 53); (iii) c-Myc induced cell death; and (iv) a combination of all of the above. Our data are consistent with BBF cycles and exclude apoptosis as a direct contributor to the TA cycles. Apoptosis occurred at equal levels throughout the study and consistently reached about twice the levels seen in the control cells. The loss of cells was compensated by a 2-fold increase in proliferation in MycER-activated PreB (19). These data also indicate that there is genetic separation of genomic instability and apoptosis as reported in ref. 54. Whether telomere associations and dissociations (55) contributed to the TA cycles is presently unknown. Direct evidence of BBF cycles in the periodicity of TAs came from a detailed analysis of chromosomal fusions, breakage, and rearrangements observed over the time course of five TA cycles. We demonstrated the occurrence of end-to-end fusions that generated dicentric chromosomes and breaks during anaphase, leaving one chromosome or chromatid with a piece from another chromosome or chromatid. The resulting telomere-free ends continue to undergo fusions with other chromosomes, a cycle of events termed BBF cycle (52, 53). Experimental data support these events from fusions to breakages and nonreciprocal translocations. The periodicity of the TA cycles is consistent with a ≈12 h population doubling time of the PreB cells (19). Each peak of TAs is consistent with the repeated formation of TAs. Time points after the peak are in agreement with the breakage of dicentric chromosomes. Telomere-free ends initiate new BBF cycle(s) until no more telomere-free chromosomal end(s) persist. From Telomeres to Chromosomal Rearrangements: A New Pathway of c-Myc-Dependent Genomic Instability. Muller (52) and McClintock (53) first described BBF cycles, a mechanism of chromosomal end-to-end fusion that contributes to the onset of genomic instability. BBF cycles contribute to deletions, gene amplification, nonreciprocal translocation, and overall genetic changes that are associated with tumorigenesis (56–63). Our study showed that c-Myc is one key factor that initiates genomic instability through BBF cycles. Such BBF cycles in telomerase-positive immortalized mouse PreB cells (unpublished data) with long telomeres are distinct from BBF cycles reported for critically short telomeres (61, 64). Some TAs (but not necessarily all) represent fusions, as evident by the analysis of metaphase chromosomes. TAs and end-to-end fusions depended on time and levels of c-Myc activation. Analysis of frequencies of both events showed that they are closely linked. As the fusions initiate BBF cycles, the frequencies of breakage and nonreciprocal translocations increase over time. A previously uncharacterized pathway of c-Myc-dependent genomic instability thus starts at the telomeric ends of the chromosomes. Both TAs and BBF cycles are the manifestation of deregulated Myc expression, leading to chromosomal rearrangements and subsequently to genomic instability. Local chromosome movement increases chromosomal overlap in the nucleus. This temporal change in local positioning may permit the direct contact of chromosomal ends and facilitate recombinations and/or fusions. Such movements were observed after c-Myc deregulation and suggested an impact of the oncoprotein on local nuclear positioning of chromosomes. Chromosome movements were previously studied and found by others as well (65–69). Several regulatory pathways involving oncogene deregulation may affect the 3D nuclear organization. Oncoproteins, including c-Myc, can alter the 3D nuclear organization and the organization of chromatin (70–72). They also affect the nuclear matrix. High mobility group protein I(Y) (HMGI(Y)) is a c-Myc-dependent nuclear matrix protein (73) with increased expression during neoplasia (2). The analysis of myc-binding sites in the human genome suggests that c-Myc binds to genes encoding nucleoskeletal components (74). Furthermore, constitutive c-Myc expression was shown to be associated with down-regulation of the telomere repeat binding protein TRF2 (10), a protein required for telomere capping and genome stability (75). Myc is also involved in the regulation of DNA repair (22, 23) and has been shown to induce DNA breakage (21). Thus taken together, many different c-Myc-dependent mechanisms could potentially affect the nuclear organization and, as shown here, converge at the telomeres. Supporting Information
Acknowledgments We thank Dr. Michael Mowat for critical reading of this manuscript, Mary Cheang for statistical analyses, and Cheryl Taylor-Kashton and Landon Wark for deconvolution. The work was supported by the Canada Foundation for Innovation, the Canadian Institutes of Health Research, CancerCare Manitoba (S.M.), Fondation de France (Paris) and French Minister of Foreign Affairs (T.F.), Sander-Stiftung, and Deutsche Krebshilfe (P.B.), the Physics for Technology program of the Foundation for Fundamental Research in Matter, the Delft Inter-Faculty Research Center Life Tech, Cyttron, and the Delft Research program Life Science and Technology (Delft, The Netherlands). Notes Author contributions: S. Mai designed research; S.F.L., A.G., Z.L., F.K., T.C.Y.C., S. Moshir, V.M., and S. Mai performed research; B.J.V., Y.G., and I.T.Y. contributed new reagents/analytic tools; S.F.L., B.J.V., Y.G., A.G., Z.L., F.K., T.C.Y.C., S. Moshir, V.M., A.Y.C.C., P.D.K., T.F., P.B., and S. Mai analyzed data; and Y.G. and S. Mai wrote the paper. This paper was submitted directly (Track II) to the PNAS office. Abbreviations: 4HT, 4-hydroxytamoxifen; SKY, spectral karyotyping; TA, telomeric aggregate. References 1. Pienta, K. J., Partin, A. W. & Coffey, D. S. (1989. ) Cancer Res. 49, 2525-2532. [PubMed] 2. Leman, E. S., Madigan, M. C., Brunagel, G., Takaha, N., Coffey, D. S. & Getzenberg, R. H. (2003. ) J. Cell Biochem. 88, 599-608. [PubMed] 3. Zink, D., Fischer, A. H. & Nickerson, J. A. (2004. ) Nat. Rev. Cancer 4, 677-687. [PubMed] 4. Parada, L. A., McQueen, P. G., Munson, P. J. & Misteli, T. (2002. ) Curr. Biol. 12, 1692-1697. [PubMed] 5. Parada, L. & Misteli, T. (2002. ) Trends Cell Biol. 12, 425-432. [PubMed] 6. Roix, J. J., McQueen, P. G., Munson, P. J., Parada, L. A. & Misteli, T. (2003. ) Nat. Genet. 34, 287-291. [PubMed] 7. Parada, L. A., McQueen, P. G. & Misteli, T. (2004. ) Genome Biol. 5, R44. [PubMed] 8. Neves, H., Ramos, C., da Silva, M. G., Parreira, A. & Parreira, L. (1999. ) Blood 93, 1197-1207. [PubMed] 9. Chuang, T. C., Moshir, S., Garini, Y., Chuang, A. Y., Young, I. T., Vermolen, B., van den Doel, R., Mougey, V., Perrin, M., Braun, M., et al. (2004. ) BMC Biol. 2, 12. [PubMed] 10. Ermler, S., Krunic, D., Knoch, T. A., Moshir, S., Mai, S., Greulich-Bode, K. M. & Boukamp, P. (2004. ) Eur. J. Cell Biol. 83, 681-690. [PubMed] 11. Nesbit, C. E., Tersak, J. M. & Prochownik, E. V. (1999. ) Oncogene 18, 3004-3016. [PubMed] 12. Potter, M. & Marcu, K. B. (1997. ) Curr. Top. Microbiol. Immunol. 224, 1-17. 13. Mai, S. & Mushinski, J. F. (2003. ) J. Environ. Pathol. Toxicol. Oncol. 22, 179-199. [PubMed] 14. Mai, S. (1994. ) Gene 148, 253-260. [PubMed] 15. Mai, S., Hanley-Hyde, J. & Fluri, M. (1996. ) Oncogene 12, 277-288. [PubMed] 16. Mai, S., Fluri, M., Siwarski, D. & Huppi, K. (1996. ) Chromosome Res. 4, 365-371. [PubMed] 17. Felsher, D. W. & Bishop, J. M. (1999. ) Proc. Natl. Acad. Sci. USA 96, 3940-3944. [PubMed] 18. Rockwood, L. D., Torrey, T. A., Kim, J. S., Coleman, A. E., Kovalchuk, A. L., Xiang, S., Ried, T., Morse, H. C., 3rd, & Janz, S. (2002. ) Oncogene 21, 7235-7240. [PubMed] 19. Kuschak, T. I., Kuschak, B. C., Taylor, C. L., Wright, J. A., Wiener, F. & Mai, S. (2002. ) Oncogene 21, 909-920. [PubMed] 20. Louis, S. F., Gruhne, B. & Mai, S. (2005. ) Prog. Oncog., in press. 21. Vafa, O., Wade, M., Kern, S., Beeche, M., Pandita, T. K., Hampton, G. M. & Wahl, G. M. (2002. ) Mol. Cell 9, 1031-1044. [PubMed] 22. Hironaka, K., Factor, V. M., Calvisi, D. F., Conner, E. A. & Thorgeirsson, S. S. (2003. ) Lab. Invest. 83, 643-654. [PubMed] 23. Karlsson, A., Deb-Basu, D., Cherry, A., Turner, S., Ford, J. & Felsher, D. W. (2003. ) Proc. Natl. Acad. Sci. USA 100, 9974-9979. [PubMed] 24. Partlin, M. M., Homer, E., Robinson, H., McCormick, C. J., Crouch, D. H., Durant, S. T., Matheson, E. C., Hall, A. G., Gillespie, D. A. & Brown, R. (2003. ) Oncogene 22, 819-825. [PubMed] 25. Chiang, Y. C., Teng, S. C., Su, Y. N., Hsieh, F. J. & Wu, K. J. (2003. ) J. Biol. Chem. 278, 19286-19291. [PubMed] 26. Adams, J. M., Harris, A. W., Pinkert, C. A., Corcoran, L. M., Alexander, W. S., Cory, S., Palmiter, R. D. & Brinster, R. L. (1985. ) Nature 318, 533-538. [PubMed] 27. Potter, M. & Wiener, F. (1992. ) Carcinogenesis 13, 1681-1697. [PubMed] 28. Pelengaris, S., Khan, M. & Evan, G. I. (2002. ) Cell 109, 321-334. [PubMed] 29. Felsher, D. W. & Bishop, J. M. (1999. ) Mol. Cell 4, 199-207. [PubMed] 30. Marinkovic, D., Marinkovic, T., Mahr, B., Hess, J. & Wirth, T. (2004. ) Int. J. Cancer 110, 336-342. [PubMed] 31. D'Cruz, C. M., Gunther, E. J., Boxer, R. B., Hartman, J. L., Sintasath, L., Moody, S. E., Cox, J. D., Ha, S. I., Belka, G. K., Golant, A., Cardiff, R. D. & Chodosh, L. A. (2001. ) Nat. Med. 7, 235-239. [PubMed] 32. Jain, M., Arvanitis, C., Chu, K., Dewey, W., Leonhardt, E., Trinh, M., Sundberg, C. D., Bishop, J. M. & Felsher, D. W. (2002. ) Science 297, 102-104. [PubMed] 33. Karlsson, A., Giuriato, S., Tang, F., Fung-Weier, J., Levan, G. & Felsher, D. W. (2003. ) Blood 101, 2797-2803. [PubMed] 34. Shachaf, C. M., Kopelman, A. M., Arvanitis, C., Karlsson, A., Beer, S., Mandl, S., Bachmann, M. H., Borowsky, A. D., Ruebner, B., Cardiff, R. D., et al. (2004. ) Nature 431, 1112-1117. [PubMed] 35. Fest, T., Mougey, V., Dalstein, V., Hagerty, M., Milette, D., Silva, S. & Mai, S. (2002. ) Oncogene 21, 2981-2990. [PubMed] 36. Mai, S., Hanley-Hyde, J., Rainey, G. J., Kuschak, T. I., Paul, J. T., Littlewood, T. D., Mischak, H., Stevens, L. M., Henderson, D. W. & Mushinski, J. F. (1999. ) Neoplasia 1, 241-252. [PubMed] 37. Wiener, F., Kuschak, T. I., Ohno, S. & Mai, S. (1999. ) Proc. Natl. Acad. Sci. USA 96, 13967-13972. [PubMed] 38. Wiener, F., Coleman, A., Mock, B. A. & Potter, M. (1995. ) Cancer Res. 55, 1181-1188. [PubMed] 39. Littlewood, T. D., Hancock, D. C., Danielian, P. S., Parker, M. G. & Evan, G. I. (1995. ) Nucleic Acids Res. 23, 1686-1690. [PubMed] 40. Grenman, S., Shapira, A. & Carey, T. E. (1988. ) Gynecol. Oncol. 30, 228-238. [PubMed] 41. Grenman, S. E., Roberts, J. A., England, B. G., Gronroos, M. & Carey, T. E. (1988. ) Gynecol. Oncol. 30, 239-250. [PubMed] 42. Mandlekar, S., Hebbar, V., Christov, K. & Kong, A. N. (2000. ) Cancer Res. 60, 6601-6606. [PubMed] 43. Fukasawa, K., Wiener, F., Vande Woude, G. F. & Mai, S. (1997. ) Oncogene 15, 1295-1302. [PubMed] 44. Figueroa, R., Lindenmaier, H., Hergenhahn, M., Nielsen, K. V. & Boukamp, P. (2000. ) Cancer Res. 60, 2770-2774. [PubMed] 45. Schaefer, L. H., Schuster, D. & Herz, H. (2001. ) J. Microsc. 204, 99-107. [PubMed] 46. Vermolen, B. J., Garini, Y., Mai, S., Mougey, V., Fest, T., Chunag, T. C. Y., Chuang, A. Y. C., Wark, L. & Young, I. T. (2005. ) Cytometry, in press. 47. Poon, S. S., Martens, U. M., Ward, R. K. & Lansdorp, P. M. (1999. ) Cytometry 36, 267-278. [PubMed] 48. Beatty, B., Mai, S. & Squire, J., eds. (2002. ) FISH: A Practical Approach (Oxford Univ. Press, Oxford). 49. Benedek, K., Chudoba, I., Klein, G., Wiener, F. & Mai, S. (2004. ) Chromosome Res. 12, 777-785. [PubMed] 50. Smith, G., Taylor-Kashton, C., Dushnicky, L., Symons, S., Wright, J. & Mai, S. (2003. ) Neoplasia (Bratisl.) 5, 110-120. 51. Wilson, E. B. (1927. ) J. Am. Stat. Assoc. 22, 209-212. 52. Mueller, H. J. (1938. ) Collecting Net. 13, 181-198. 53. McClintock, B. (1941. ) Genetics 26, 234-282. 54. Fest, T., Guffei, A., Williams, G., Silva, S. & Mai, S. (2005. ) Oncogene 24, 2944-2953. [PubMed] 55. Molenaar, C., Wiesmeijer, K., Verwoerd, N. P., Khazen, S., Eils, R., Tanke, H. J. & Dirks, R. W. (2003. ) EMBO J. 22, 6631-6641. [PubMed] 56. DePinho, R. A. & Polyak, K. (2004. ) Nat. Genet. 36, 932-934. [PubMed] 57. Artandi, S. E., Chang, S., Lee, S. L., Alson, S., Gottlieb, G. J., Chin, L. & DePinho, R. A. (2000. ) Nature 406, 641-645. [PubMed] 58. Artandi, S. E. (2002. ) Trends Mol. Med. 8, 44-47. [PubMed] 59. Smith, K. A., Stark, M. B., Gorman, P. A. & Stark, G. R. (1992. ) Proc. Natl. Acad. Sci. USA 89, 5427-5431. [PubMed] 60. Ciullo, M., Debily, M. A., Rozier, L., Autiero, M., Billault, A., Mayau, V., El Marhomy, S., Guardiola, J., Bernheim, A., Coullin, P., et al. (2002. ) Hum. Mol. Genet. 11, 2887-2894. [PubMed] 61. Hande, M. P., Samper, E., Lansdorp, P. & Blasco, M. A. (1999. ) J. Cell Biol. 144, 589-601. [PubMed] 62. Murnane, J. P. & Sabatier, L. (2004. ) Bioessays 26, 1164-1174. [PubMed] 63. Gisselsson, D., Jonson, T., Petersen, A., Strombeck, B., Dal Cin, P., Hoglund, M., Mitelman, F., Mertens, F. & Mandahl, N. (2001. ) Proc. Natl. Acad. Sci. USA 98, 12683-12688. [PubMed] 64. Londono-Vallejo, J. A. (2004. ) Cancer Lett. 212, 135-144. [PubMed] 65. Zink, D. & Cremer, T. (1998. ) Curr. Biol. 8, R321-R324. [PubMed] 66. Walter, J., Schermelleh, L., Cremer, M., Tashiro, S. & Cremer, T. (2003. ) J. Cell Biol. 160, 685-697. [PubMed] 67. Vourc'h, C., Taruscio, D., Boyle, A. L. & Ward, D. C. (1993. ) Exp. Cell Res. 205, 142-151. [PubMed] 68. Ferguson, M. & Ward, D. C. (1992. ) Chromosoma 101, 557-565. [PubMed] 69. Bridger, J. M., Boyle, S., Kill, I. R. & Bickmore, W. A. (2000. ) Curr. Biol. 10, 149-152. [PubMed] 70. Fischer, A. H., Bond, J. A., Taysavang, P., Battles, O. E. & Wynford-Thomas, D. (1998. ) Am. J. Pathol. 153, 1443-1450. [PubMed] 71. Fischer, A. H., Chadee, D. N., Wright, J. A., Gansler, T. S. & Davie, J. R. (1998. ) J. Cell Biochem. 70, 130-140. [PubMed] 72. Chadee, D. N., Hendzel, M. J., Tylipski, C. P., Allis, C. D., Bazett-Jones, D. P., Wright, J. A. & Davie, J. R. (1999. ) J. Biol. Chem. 274, 24914-24920. [PubMed] 73. Takaha, N., Hawkins, A. L., Griffin, C. A., Isaacs, W. B. & Coffey, D. S. (2002. ) Cancer Res. 62, 647-651. [PubMed] 74. Fernandez, P. C., Frank, S. R., Wang, L., Schroeder, M., Liu, S., Greene, J., Cocito, A. & Amati, B. (2003. ) Genes Dev. 17, 1115-1129. [PubMed] 75. van Steensel, B., Smogorzewska, A. & de Lange, T. (1998. ) Cell 92, 401-413. [PubMed] |
PubMed related articles
Your browsing activity is empty. Activity recording is turned off. |
|||||||||||||||||
Cancer Res. 1989 May 15; 49(10):2525-32.
[Cancer Res. 1989]Nat Rev Cancer. 2004 Sep; 4(9):677-87.
[Nat Rev Cancer. 2004]Blood. 1999 Feb 15; 93(4):1197-207.
[Blood. 1999]BMC Biol. 2004 Jun 3; 2():12.
[BMC Biol. 2004]Eur J Cell Biol. 2004 Dec; 83(11-12):681-90.
[Eur J Cell Biol. 2004]Oncogene. 1999 May 13; 18(19):3004-16.
[Oncogene. 1999]J Environ Pathol Toxicol Oncol. 2003; 22(3):179-99.
[J Environ Pathol Toxicol Oncol. 2003]Gene. 1994 Oct 21; 148(2):253-60.
[Gene. 1994]Oncogene. 2002 Oct 17; 21(47):7235-40.
[Oncogene. 2002]Oncogene. 2002 Jan 31; 21(6):909-20.
[Oncogene. 2002]Oncogene. 2002 May 2; 21(19):2981-90.
[Oncogene. 2002]Neoplasia. 1999 Aug; 1(3):241-52.
[Neoplasia. 1999]Proc Natl Acad Sci U S A. 1999 Nov 23; 96(24):13967-72.
[Proc Natl Acad Sci U S A. 1999]Cancer Res. 1995 Mar 1; 55(5):1181-8.
[Cancer Res. 1995]Nucleic Acids Res. 1995 May 25; 23(10):1686-90.
[Nucleic Acids Res. 1995]J Biol Chem. 2003 May 23; 278(21):19286-91.
[J Biol Chem. 2003]Nature. 1985 Dec 12-18; 318(6046):533-8.
[Nature. 1985]Gynecol Oncol. 1988 Jun; 30(2):228-38.
[Gynecol Oncol. 1988]Cancer Res. 2000 Dec 1; 60(23):6601-6.
[Cancer Res. 2000]Oncogene. 1997 Sep; 15(11):1295-302.
[Oncogene. 1997]BMC Biol. 2004 Jun 3; 2():12.
[BMC Biol. 2004]Cancer Res. 2000 Jun 1; 60(11):2770-4.
[Cancer Res. 2000]J Microsc. 2001 Nov; 204(Pt 2):99-107.
[J Microsc. 2001]BMC Biol. 2004 Jun 3; 2():12.
[BMC Biol. 2004]Cytometry. 1999 Aug 1; 36(4):267-78.
[Cytometry. 1999]Proc Natl Acad Sci U S A. 1999 Nov 23; 96(24):13967-72.
[Proc Natl Acad Sci U S A. 1999]Oncogene. 2002 May 2; 21(19):2981-90.
[Oncogene. 2002]Neoplasia. 1999 Aug; 1(3):241-52.
[Neoplasia. 1999]Nucleic Acids Res. 1995 May 25; 23(10):1686-90.
[Nucleic Acids Res. 1995]BMC Biol. 2004 Jun 3; 2():12.
[BMC Biol. 2004]Nucleic Acids Res. 1995 May 25; 23(10):1686-90.
[Nucleic Acids Res. 1995]BMC Biol. 2004 Jun 3; 2():12.
[BMC Biol. 2004]Chromosome Res. 2004; 12(8):777-85.
[Chromosome Res. 2004]Carcinogenesis. 1992 Oct; 13(10):1681-97.
[Carcinogenesis. 1992]Gene. 1994 Oct 21; 148(2):253-60.
[Gene. 1994]Oncogene. 1996 Jan 18; 12(2):277-88.
[Oncogene. 1996]Oncogene. 2002 Jan 31; 21(6):909-20.
[Oncogene. 2002]Chromosome Res. 1996 Aug; 4(5):365-71.
[Chromosome Res. 1996]Oncogene. 2002 Oct 17; 21(47):7235-40.
[Oncogene. 2002]Oncogene. 2002 Jan 31; 21(6):909-20.
[Oncogene. 2002]Oncogene. 2005 Apr 21; 24(18):2944-53.
[Oncogene. 2005]EMBO J. 2003 Dec 15; 22(24):6631-41.
[EMBO J. 2003]Oncogene. 2002 Jan 31; 21(6):909-20.
[Oncogene. 2002]Nat Genet. 2004 Sep; 36(9):932-4.
[Nat Genet. 2004]Proc Natl Acad Sci U S A. 2001 Oct 23; 98(22):12683-8.
[Proc Natl Acad Sci U S A. 2001]J Cell Biol. 1999 Feb 22; 144(4):589-601.
[J Cell Biol. 1999]Cancer Lett. 2004 Aug 30; 212(2):135-44.
[Cancer Lett. 2004]Curr Biol. 1998 Apr 23; 8(9):R321-4.
[Curr Biol. 1998]Curr Biol. 2000 Feb 10; 10(3):149-52.
[Curr Biol. 2000]Am J Pathol. 1998 Nov; 153(5):1443-50.
[Am J Pathol. 1998]J Biol Chem. 1999 Aug 27; 274(35):24914-20.
[J Biol Chem. 1999]Cancer Res. 2002 Feb 1; 62(3):647-51.
[Cancer Res. 2002]J Cell Biochem. 2003 Feb 15; 88(3):599-608.
[J Cell Biochem. 2003]Genes Dev. 2003 May 1; 17(9):1115-29.
[Genes Dev. 2003]Gynecol Oncol. 1988 Jun; 30(2):228-38.
[Gynecol Oncol. 1988]Cancer Res. 2000 Dec 1; 60(23):6601-6.
[Cancer Res. 2000]