![]() |
|
|
Department of Pathology and Anatomical Sciences, Ellis Fischel Cancer Center, University of Missouri, Columbia, MO 65203 and * Department of Zoology, Life Science College, National Chung Hsing University, Taichung 402, Taiwan, Republic of China
3To whom correspondence should be addressed. E-mail: huangh{at}health.missouri.edu.
| ABSTRACT |
|---|
|
|
|---|
KEY WORDS: DNA methylation CpG islands microarray
| INTRODUCTION |
|---|
|
|
|---|
| MATERIALS AND METHODS |
|---|
|
|
|---|
Preparation of the CGI microarray
The schematic for the preparation of the CGI microarray is shown in Fig. 1
. Briefly, the resource material for printing the microarray was obtained from the UK Human Genome Mapping Project Resource Centre, Hinxton, Cambridge. This CGI library originates from Dr. Sally Cross and coworkers (17
). Male human genomic DNA was restricted with a four-base frequent cutter MseI. The recognition site of this restriction enzyme [thymine/thymine/adenine/adenine four-base sequence (TTAA)] rarely occurs in GC-rich regions; thus, most GC-rich CGI remained intact whereas the bulk of the genomic DNA was removed by restriction enzyme cleavage. The restricted product, including the CpG fragments of promoter regions and the first exon of many transcripted genes, were subsequently subjected to in vitro methylation. The reaction mixture was passed through a methyl-CpG-binding protein 2 column to enrich the low copy and single-copy CGI fragments. One should note that not all promoter CGI are flanked by MseI restriction sites; examples of such promoter CGI include p16INK4a, p15INK4b, and tissue inhibitor of metalloproteinase 3 (TIMP3) (18
). As a result, these fragments will not be present in the current version of our CGI microarray. We are in the process of generating other versions of CGI microarrays that will allow us to probe the methylation status of these important fragments. Nonetheless, the present version of the CGI microarray does generate an impressive amount of information and data.
|
Preparation of fluorescently labeled targets
To illustrate the usefulness of the DMH assay, methylation profiles of paired breast tumor and normal samples from patients undergoing mastectomy at Ellis Fischel Cancer Center (Columbia, MO) are described and presented. The collection of breast tumor and normal samples was in compliance with our institutional review board. Routinely, all DNA used in amplicon generation is extracted from samples using the QiaAmp Tissue Kit (Qiagen, Valencia, CA). To ensure successful preparation of amplicons or the amplified target material, the quality and the quantity of the DNA has to be ascertained with care. As such, the spectrophotometric readings of extracted DNA are verified on a low percentage agarose gel. The amplicon preparation steps are outlined in Fig. 2
. First, DNA (12 µg) is restricted with MseI, the same four-base restriction enzyme that generates the CGI fragments arrayed on the glass slides. Once again, this enzyme restricts bulk DNA into small fragments (
200 bp). Because its recognition site (TTAA) rarely occurs in GC-rich regions, most GC-rich CGI remain intact after this restriction. The cleaved ends of DNA are ligated to unphosphorylated linkers (19
). The use of universal linkers, rather than specific primers, allows us to amplify all methylated fragments in patient tumor and normal amplicons that are flanked by an MseI recognition site. The ligated DNA is then restricted either singly or consecutively with up to two four-base methylation-sensitive endonucleases: BstUI, HpaII, and HhaI. Genomic fragments containing methylated sites are protected from the digestion and can be amplified by linker-PCR. Many more of these fragments will be present in the tumor compared with normal tissue as illustrated in our previous findings (19
). On the other hand, unmethylated sites are cut and cannot be amplified and most linker-ligated MseI fragments in the normal controls will succumb to this fate.
|
The last step of the amplicon preparation is linker-PCR amplification. We chose to amplify the linker-ligated fragments for only 20 cycles. At this level of amplification, especially if most unmethylated repetitive sequences are removed by two methylation-sensitive endonucleases, the PCR products of most templates should be in the linear amplification range. At this stage of sample preparation, a portion of the amplicon is reserved for validating the hypermethylation cutoff using the Southern hybridization approach as described in a subsequent section. The remaining amplicon is purified and ready for indirect fluorescent labeling.
The aminoallyl labeling step, the fluorescent dye coupling step, and the labeled target purification step are essentially as described by DeRisi et al. Due to the complexity of our amplicons and the size of the CGI microarray, the combined tumor/normal control pair with 8 µg DNA, 180 pmol Cy5, and 150 pmol Cy3 would give strong hybridization signals. The hybridization of 7776 spots is carried out under a 24 x 50 mm cover glass sealed tightly within a moistened hybridization chamber in a 60°C water bath for up to 15 h. The posthybridization washing steps are essentially those described by DeRisi et al. A representative CGI microarray image from the breast tumor study is shown in Fig. 3
. The scanned image is analyzed using the GenePix 3.0 software. The Cy5/Cy3 ratios (i.e., the hybridization intensity from the test amplicons to the hybridization intensity from the normal amplicons) from each image are normalized guided by both the average global Cy5/Cy3 ratio from each image and the Cy5/Cy3 ratios from 10 internal controls (clones without restriction cut sites and their copy numbers remain the same in tumor and normal samples). CGI tags whose signal intensities were slightly above the background or were devoid of hybridization signals represent the unmethylated loci in both tumor and normal samples; their genomic fragments were removed by enzymatic restriction using the methylation-sensitive endonucleases before linker-PCR. Yellow spots (normalized Cy5/Cy3 = 1) represent equal amounts of bound DNA from each amplicon, indicating no methylation differences between tumor and normal genomes. In some instances, these yellow spots represent CGI tags that do not contain the internal HhaI, HpaII, or BstUI recognition sites and have equal copy numbers in both tumor and control DNA. CGI tags hybridized predominately with the tumor amplicon, but not with the normal amplicon, appear as red spots. A factor of 1.5 is then applied to the normalization factor to reduce the false identification rate. It should be noted that the magnitude of the Cy5/Cy3 ratio does not necessarily reflect the extent of hypermethylation, as the target preparation is PCR based. Less frequently, we also encountered green spots (normalized Cy5/Cy3
0.5) by DMH, denoting the presence of hypomethylated sequences in the tumor genome. Sequence analysis indicated that most of the green spots in the microarray panel are repetitive elements, which are often methylated in nontumor cells. Single- or low-copy number CGI loci identified as hypermethylated or hypomethylated in each tumor/normal pair are flagged. Compilation of the hypermethylated loci across the studied samples are then analyzed by various clustering algorithms to reveal the outcome of CGI methylation on patient prognosis or tumor progression. We have successfully used a hierarchical clustering algorithm (http://rana.stanford.edu/clustering) and a nonhierarchical clustering algorithm (Partek Fuzzy C-means protocol) to analyze the methylation data set. Clustering results generated by these algorithms are further refined by a new approach called batching sequential forward selection (developed by Dr. Chi-Ren Shyu, a collaborator in the Computer Science Department, University of Missouri, Columbia, MO), which can better interpret high-dimensional microarray data and allow ease of data visualization.
|
The DMH microarray data are verified by standard molecular biology assays. The two assays routinely used in our laboratory for this purpose are the Southern analysis using either genomic DNA or DMH amplicons as the hybridization templates, and methylation-specific PCR (20
). As indicated earlier, we usually reserve a portion of the DMH amplicons for the preparation of Southern filters. Fragment probes of CGI shown to be important by clustering algorithms are synthesized and used for Southern hybridization. This type of validation is important in that it affirms the cutoff ratio can accurately assign the methylation status of each studied locus. Using genomic DNA as the hybridization template in a Southern hybridization is a useful confirmation tool. Fragment probes similar to those mentioned previously are used for hybridization. The presence or absence of appropriate hybridization bands confirms the DMH microarray data. The disadvantage of this classical method is that it takes 710 µg DNA from each sample pair to prepare the Southern filters. This amount of DNA is not practical for small surgical samples. A more reasonable assay to verify the DMH data is by methylation-specific PCR. Here, only 12 µg DNA is needed for the initial bisulfide conversion. Primers representing the methylated and the unmethylated alleles are synthesized. PCR products from these primers are separated on an agarose gel. The presence or absence of bands in the methylated lane signify the methylation status of the interrogated CGI locus.
Fig. 4
depicts representative data from the breast tumor study. Methylated MseI fragments, mostly present in tumor samples, were protected from HhaI restriction [recognition sites: guanine/cytosine/guanine/cytosine four-base sequence (GCGC)] and were labeled with Cy5. Panel A shows the DMH image of CpG clone SC76F1 from eight patients, together with the corresponding adjusted ratios of fluorescent intensities between the two dyes (i.e., Cy5/Cy3 ratios). The SC76F1 sequence matched a CGI region located within the promoter of the glypican 3 (GPC3) gene at chromosome Xq26 (21
). This gene encodes a glypican integral membrane protein. We determined the methylation of the GPC3 promoter in the eight patient tumor samples and one normal sample. The expected sizes of the unmethylated, partially methylated, and hypermethylated fragments are shown in panel B. The Southern analysis data using genomic DNA as templates, as shown in panel C, confirmed the DMH microarray data in this CpG locus.
|
| FOOTNOTES |
|---|
2 Funded by National Cancer Institute Grants CA-69065 and CA-8470, and by U.S. Army Medical Research Command Grant DAMD-98-824. C.-M.C. was a visiting fellow supported by National Science Council, Taiwan (NSC39073F). ![]()
4 Abbreviations used: CGI, CpG island; CpG, cytosine guanine dinucleotide; DMH, differential methylation hybridization; GC, guanine cytosine; GPC3, glypican3; PCR, polymerase chain reaction; SAM, S-adenosylmethionine; TTAA, thymine/thymine/adenine/adenine four-base sequence. ![]()
| LITERATURE CITED |
|---|
|
|
|---|
1. Fenech, M. (2001) The role of folic acid and vitamin B12 in genomic stability of human cells. Mutat. Res. 475:57-67.[Medline]
2. Jaenisch, R. (1997) DNA methylation and imprinting: why bother?. Trends Genet 13:323-329.[Medline]
3. Bird, A. (1992) The essentials of DNA methylation. Cell 70:5-8.[Medline]
4. Singer-Sam, J. & Riggs, A. D. (1993) X Chromosome inactivation and DNA methylation. Jost, J. P. Saluz, H. P. eds. DNA Methylation: Molecular Biology and Biological Significance 1993:358-384 Birkhaeuser Verlag Basel, Switzerland. .
5. Li, E., Beard, C. & Jaenisch, R. (1993) Role for DNA methylation in genome imprinting. Nature 366:362-365.[Medline]
6. Walsh, C. P., Chaillet, J. R. & Bestor, T. H. (1998) Transcription of IAP endogenous retroviruses is constrained by cytosine methylation. Nat. Genet. 20:116-117.[Medline]
7. Poirier, L. A., Wise, C. K., Delongchamp, R. R. & Sinha, R. (2001) Blood determinations of S-adenosylmethionine, S-adenosylhomcysteine, and homocysteine: correlations with diet. Cancer Epidemiol. Biomarkers Prev. 10:649-655.
8. Giovannucci, E., Stampfer, M. J., Colditz, G. A., Rimm, E. B., Trichopoulos, D., Rosner, B. A., Speizer, F. E. & Willett, W. C. (1993) Folate, methionine, and alcohol intake and risk of colorectal adenoma. J. Natl. Cancer Inst. 85:875-884.
9. Wu, K., Helzlsouer, K. J., Comstock, G. W., Hoffman, S. C., Nadeau, M. R. & Selhub, J. (1999) A prospective study on folate, B12, and pyridoxal 5'-phosphate (B6) and breast cancer. Cancer Epidemiol. Biomarkers Prev. 8:209-217.
10. Butterworth, C. E., Jr, Hatch, K. D., Core, H., Mueller, H. & Krumdieck, C. L. (1982) Improvement in cervical dysplasia associated with folic acid therapy in users of oral contraceptives. Am. J. Clin. Nutr. 35:73-82.
11. Heimburger, D. C., Alexander, C. B., Birch, R., Butterworth, C. E., Jr, Bailey, W. C. & Krumdieck, C. L. (1988) Improvement in bronchial squamous metaplasia in smokers treated with folate and vitamin B12. Report of a preliminary randomized, double-blind intervention trial. J. Am. Med. Assoc. 259:1525-1530.[Abstract]
12. Hsing, A. W., Hansson, L. E., McLaughlin, J. K., Nyren, O., Blot, W. J., Bkbom, A. & Fraumeni, J. F., Jr (1993) Pernicious anemia and subsequent cancer. A population-based cohort study. Cancer (Phila.) 71:745-750.[Medline]
13. Stolzenberg-Solomon, R. Z., Albanes, D., Nieto, F. J., Hartman, T. J., Tangrea, J. A., Rautalahti, M., Sehlub, J., Virtamo, J. & Taylor, P. R. (1999) Pancreatic cancer risk and nutrition-related methyl-group availability indicators in male smokers. J. Cancer Natl. Inst. 91:535-541.
14. Hernandex, R., Frady, A., Zhang, X.-Y., Varela, M. & Ehrlich, M. (1997) Preferential induction of chromosome 1 multibranched figures and whole-arm deletions in human pro-B cell line treated with 5-azacytidine or 5-azadeoxycytidine. Cytogenet. Cell Genet. 76:196-201.[Medline]
15. Jones, P. A. & Takai, D. (2001) The role of DNA methylation in mammalian epigenetics. Science 293:1068-1070.
16. Slattery, M. L., Potter, J. D., Samowitz, W., Schaffer, D. & Leppert, M. (1999) Methylenetetrahydrofolate reductase, diet, and risk of colon cancer. Cancer Epidemiol. Biomarkers Prev. 8:513-518.
17. Cross, S. H., Charlton, J. A., Nan, X. & Bird, A. P. (1994) Purification of CpG islands using a methylated DNA binding column. Nat. Genet. 6:236-244.[Medline]
18. Esteller, M., Corn, P. G., Baylin, S. B. & Herman, J. G. (2001) A gene hypermethylation profile of human cancer. Cancer Res 61:3225-3229.
19. Huang, T.H.-M., Perry, M. R. & Laux, D. E. (1999) Methylation profiling of CpG islands in human breast cancer cells. Hum. Mol. Genet. 8:459-470.
20. Herman, J. G., Graff, J. R., Myohanen, S., Nelkin, B. & Baylin, S. B. (1996) Methylation-specific PCR: a novel PCR assay for methylation status of CpG islands. Proc. Natl. Acad. Sci. USA 93:9821-9826.
21. Huber, R., Hansen, R. S., Strazzullo, M., Pengue, G., Mazzarella, R., DUrso, M., Schlessinger, D., Pilia, G., Gartler, S. M. & DEsposito, M. (1999) DNA methylation in transcriptional repression of two differentially expressed X-linked genes, GPC3 and SYBL1. Proc. Natl. Acad. Sci. USA 96:616-621.
22. Balaghi, M. & Wagner, C. (1993) DNA methylation in folate deficiency: use of CpG methylase. Biochem. Biophys. Res. Commun. 193:1184-1190.[Medline]
23. Lathrop Stern, L., Mason, J. B., Selhub, J. & Choi, S.-W. (2000) Genomic DNA hypomethylation, a characteristic of most cancers, is present in peripheral leukocytes of individuals who are homozygous for the C677T polymorphism in the Methylenetetrahydrofolate Reductase gene. Cancer Epidemiol. Biomarkers Prev. 9:849-853.
This article has been cited by other articles:
![]() |
P. Stenvinkel and T. J. Ekstrom Epigenetics--a helpful tool to better understand processes in clinical nephrology? Nephrol. Dial. Transplant., May 1, 2008; 23(5): 1493 - 1496. [Full Text] [PDF] |
||||
![]() |
A. E. K. Ibrahim, N. P. Thorne, K. Baird, N. L. Barbosa-Morais, S. Tavare, V. P. Collins, A. H. Wyllie, M. J. Arends, and J. D. Brenton MMASS: an optimized array-based method for assessing CpG island methylation Nucleic Acids Res., November 6, 2006; 34(20): e136 - e136. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. Khulan, R. F. Thompson, K. Ye, M. J. Fazzari, M. Suzuki, E. Stasiek, M. E. Figueroa, J. L. Glass, Q. Chen, C. Montagna, et al. Comparative isoschizomer profiling of cytosine methylation: The HELP assay Genome Res., August 1, 2006; 16(8): 1046 - 1055. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. Schumacher, P. Kapranov, Z. Kaminsky, J. Flanagan, A. Assadzadeh, P. Yau, C. Virtanen, N. Winegarden, J. Cheng, T. Gingeras, et al. Microarray-based DNA methylation profiling: technology and applications Nucleic Acids Res., January 20, 2006; 34(2): 528 - 542. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. van Doorn, W. H. Zoutman, R. Dijkman, R. X. de Menezes, S. Commandeur, A. A. Mulder, P. A. van der Velden, M. H. Vermeer, R. Willemze, P. S. Yan, et al. Epigenetic Profiling of Cutaneous T-Cell Lymphoma: Promoter Hypermethylation of Multiple Tumor Suppressor Genes Including BCL7a, PTPRG, and p73 J. Clin. Oncol., June 10, 2005; 23(17): 3886 - 3896. [Abstract] [Full Text] [PDF] |
||||
![]() |
Y. Kondo, L. Shen, P. S. Yan, T. H.-M. Huang, and J.-P. J. Issa Chromatin immunoprecipitation microarrays for identification of genes silenced by histone H3 lysine 9 methylation PNAS, May 11, 2004; 101(19): 7398 - 7403. [Abstract] [Full Text] [PDF] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||