Clinical Chemistry Siemens Point of Care - Urinalysis
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Clinical Chemistry 47: 1183-1189, 2001;
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (35)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Worm, J.
Right arrow Articles by Guldberg, P.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Worm, J.
Right arrow Articles by Guldberg, P.
Related Collections
Right arrow Molecular Diagnostics and Genetics
(Clinical Chemistry. 2001;47:1183-1189.)
© 2001 American Association for Clinical Chemistry, Inc.


Articles

In-Tube DNA Methylation Profiling by Fluorescence Melting Curve Analysis

Jesper Worm1, Anni Aggerholm2 and Per Guldberg1a

1 Department of Tumor Cell Biology, Institute of Cancer Biology, Danish Cancer Society, Strandboulevarden 49, DK-2100 Copenhagen, Denmark.

2 Department of Haematology, Aarhus University Hospital, Tage-Hansens Gade 2, DK-8000 Aarhus C, Denmark.


aAuthor for correspondence. Fax 45-35-25-77 21; e-mail perg{at}cancer.dk.


   Abstract
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Background: Most PCR assays for detection of 5-methylcytosine in genomic DNA entail a two-step procedure, comprising initial PCR amplification and subsequent product analysis in separate operations that usually require manual transfer. These methods generally provide information about methylation of only a few CpG dinucleotides within the target sequence.

Methods: An in-tube methylation assay is described that integrates amplification of bisulfite-treated DNA and melting analysis by using a thermal cycler coupled to a fluorometer (LightCycler). DNA melting curves were acquired by measuring the fluorescence of a double-stranded DNA-binding dye (SYBR Green I) during a linear temperature transition.

Results: Analysis of a region comprising 11 CpG sites at the SNRPN promoter CpG island showed that the melting temperature (Tm) differed by ~3 °C between unmethylated and fully methylated alleles. This assay could easily distinguish patients with Prader-Willi syndrome or Angelman syndrome from individuals without these conditions. Melting curve analysis also allowed resolution of methylation "mosaicism" at the p15Ink4b promoter in bone marrow samples from patients with acute myeloid leukemia (AML). AML samples representing pools of heterogeneously methylated p15Ink4b alleles showed broadened melting peaks with overall Tms between those of the unmethylated and fully methylated alleles.

Conclusions: Integration of PCR and fluorescence melting analysis may be useful for simple and cost-effective detection of aberrant methylation patterns.


   Introduction
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
5-Methylcytosine (m5C) 1 occurs in the context of CpG dinucleotides and is the most abundant covalently modified base in the genomes of vertebrates. Areas of high CpG dinucleotide density, so called "CpG islands", are spread throughout the genomes and usually map to gene-promoter regions. Methylation of promoter CpG islands is associated with histone deacetylation and transcriptional silencing (1) and is essential for normal embryonic development, genomic imprinting, and X-chromosome inactivation. Somatic de novo methylation of CpG islands in tumor suppressor genes has been implicated in tumorigenesis, and aberrant methylation of imprinted genes is associated with several inherited human diseases (1)(2)(3). The central role of DNA methylation in normal and disease-related processes has led to a variety of methods to detect and characterize normal and aberrant methylation patterns in biologic and clinical specimens.

In standard PCR and cloning procedures, information about m5C and other covalent base modifications in genomic DNA is lost. Therefore, current PCR methods for detecting and mapping m5C in specific genes rely on treatment of genomic DNA with methylation-sensitive restriction endonucleases or sodium bisulfite before amplification. Bisulfite converts unmethylated cytosines to uracil, whereas methylated cytosines remain unreactive (4). A specific target sequence can subsequently be amplified with primers specific for bisulfite-converted DNA and examined for its m5C content. The gold standard among bisulfite methods is genomic sequencing that provides a positive display of m5C at specific CpG sites in virtually any stretch of DNA (5). More simple methods using bisulfite-converted DNA as a template include methylation-specific PCR (MSP) (6), methylation-sensitive single nucleotide primer extension (7) and procedures based on the use of restriction endonucleases (8)(9).

Despite the obvious advantages of the above methods, they all entail a two-step procedure, comprising initial PCR amplification and subsequent product analysis, usually by gel electrophoresis. Furthermore, with the exception of genomic sequencing, they are limited to the analysis of one or a few CpG sites in each setting. We describe a new in-tube PCR assay for the detection of aberrant DNA methylation that uses a thermal cycler integrated with a fluorometer (10) and exploits differences in melting temperature (Tm) between methylated and unmethylated alleles after bisulfite treatment.


   Materials and Methods
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
dna samples
Mononuclear cells were obtained from peripheral blood from patients with Angelman syndrome or Prader-Willi syndrome and apparently healthy individuals, or from bone marrow from patients with acute myeloid leukemia (AML). Genomic DNA was isolated using the Puregene DNA Isolation Kit (Gentra Systems). DNA from the leukemia cell lines, MOLT-4 and HL-60, served as the positive and negative controls for p15Ink4b methylation (11), respectively. Blood and bone marrow samples were obtained after informed consent, and all procedures were in accordance with the current revision of the Helsinki Declaration of 1975.

sodium bisulfite conversion
Genomic DNA was treated with sodium bisulfite essentially as described previously (12). Briefly, ~2 µg of DNA was denatured in 0.3 mol/L NaOH for 15 min at 37 °C, followed by the addition of sodium bisulfite to a final concentration of 3.1 mol/L and hydroquinone to a final concentration of 2.5 mmol/L. After incubation at 55 °C for 16 h, the DNA samples were recovered using the GeneClean II Kit (Bio 101 Inc.), desulfonated in 0.3 mol/L NaOH, and ethanol-precipitated. DNA was resuspended in Tris-EDTA and used immediately or stored at -80 °C until use.

primer design and pcr amplification
Melt maps were generated using the MELT94 algorithm (13). Primers specific for bisulfite-converted antisense DNA were selected to amplify a region of the small nuclear ribonucleoprotein-associated polypeptide N (SNRPN) gene promoter CpG island (GenBank Accession No. L32702; bases 153–305). This region is within the area known to be methylated differentially in the Angelman and Prader-Willi syndromes (14). The primers were SNRPN-A [(CGGGCGGGGG)-CATACTCAAACTAAA-ATATATACTAAACCTACC] and SNRPN-B [(CGCCC-GCCGCGCCCCGCGCCCGTCCCGCCGCCCCCGCCCG)-AGAGAAGTTATTGGTATAGTTGATTTTGTT]. Nucleotides in parentheses represent GC-clamps. Primers for amplification of the p15Ink4b promoter CpG island were described previously (11). PCR was carried out in a final volume of 25 µL containing 100–200 ng of bisulfite-treated DNA, 10 mM Tris-HCl (pH 8.3), 50 mM KCl, 1.5 mM MgCl2, 0.2 mM dNTP, 0.4 µM each primer, and 1 U of AmpliTaq polymerase (Perkin-Elmer). PCR was initiated by hot-start, followed by 39 cycles of 94 °C for 30 s, 55 °C for 30 s and 72 °C for 30 s, and a final extension at 72 °C for 5 min, using a block thermocycler (GeneAmp PCR System 9600; Perkin-Elmer). PCR products were examined by electrophoresis on 2–3% agarose gels (FMC).

For amplification on the LightCycler (Roche), a LightCycler DNA Master SYBR Green I reagent set (Roche) was used. Before amplification, 2 µL of 10x LightCycler DNA Master SYBR Green I was mixed with 0.16 µL of TaqStart Antibody (Clontech) and incubated at room temperature for 5 min. PCR was performed in 20-µL reactions containing 2 µL of 10x LightCycler DNA Master SYBR Green I, 3 mM MgCl2, 200 ng of bisulfite-treated DNA, and 0.5 µM each primer. PCR was initiated by incubation for 1 min at 95 °C to denature the TaqStart Antibody, followed by 40–50 cycles of 5 s at 95 °C, 10 s at 55 °C, and 15 s at 72 °C. The fluorescence of SYBR Green I was measured once per cycle to monitor template amplification.

generation of melting curves and melting peaks
DNA melting curves were acquired on the LightCycler by measuring the fluorescence of SYBR Green I during a linear temperature transition from 70 °C to 98 °C at 0.1 °C/s. Fluorescence data were converted into melting peaks by the LightCycler software (Ver. 3.39) to plot the negative derivative of fluorescence over temperature vs temperature (-dF/dT vs T). For PCR products generated on a block thermocycler, 5 µL of PCR product was mixed with 5 µL of a 1:5000 dilution of SYBR Green I (Molecular Probes) and 10 µL of H2O before melting curve analysis. For PCR products generated on the LightCycler, melting curve analysis was performed immediately after amplification.


   Results
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
rationale of melting curve analysis for dna methylation profiling
When a double-stranded DNA molecule is subjected to gradual heating, it melts in a series of steps, in which each step represents the melting of a discrete segment, a so-called "melting domain". In general, the Tm of a melting domain increases with an increase in GC content. After conversion of unmethylated cytosines to uracil by sodium bisulfite and subsequent PCR-mediated conversion of uracils to thymine, methylated and unmethylated alleles are predicted to differ in thermal stability because of their different GC contents (15).

As shown schematically in Fig. 1 , the Tm of an amplification product is determined by the composition of methylated and unmethylated alleles in the original DNA sample. If all alleles are completely devoid of m5C, all cytosines will be converted to thymine, yielding a PCR product with a relatively low Tm (Fig. 1A ). By contrast, if all alleles contain m5C at all CpG dinucleotides, the Tm of the PCR product will be substantially higher (Fig. 1B ). If the DNA sample contains a mixture of alleles that are either unmethylated or fully methylated, amplification will yield two different PCR products with a low and a high Tm, respectively (Fig. 1C ). If the target sequence exhibits methylation "mosaicism", i.e., the number of m5Cs varies among different alleles within the same sample, the PCR product represents a pool of molecules with different Tms, leading to an overall intermediate Tm (Fig. 1D ).



View larger version (23K):
[in this window]
[in a new window]
 
Figure 1. Principle of melting curve analysis for resolution of DNA methylation patterns.

in-tube melting curve analysis of the snrpn gene
The gene encoding SNRPN is a convenient model for investigating melting profiles of different allelic constellations of DNA methylation. SNRPN is located in an imprinting regulatory region at chromosome 15q11-q13, and its promoter is usually fully methylated (>96% of all CpG dinucleotides) on the maternal chromosome and completely devoid of methylation on the paternal chromosome (14). Two inherited developmental disorders, Prader-Willi syndrome and Angelman syndrome, are associated with large deletions, uniparental disomy or imprinting mutations of the SNRPN region. Healthy individuals have both methylated and unmethylated SNRPN alleles, whereas patients with Prader-Willi syndrome have only methylated alleles and patients with Angelman syndrome have only unmethylated alleles (16).

The melt map of a 153-bp genomic DNA region of the SNRPN CpG island, including 11 CpG dinucleotides, is depicted in Fig. 2A . This region has a GC content of 67% with a predicted maximum Tm of 85 °C. Treatment with sodium bisulfite and subsequent PCR would cause the formation of two distinct noncomplementary strands with GC contents and Tms determined by the m5C contents of the original templates. For the antisense strand, the fully methylated sequence would have a GC content of 33% and a maximum Tm of 78 °C, whereas the unmethylated sequence would have a GC content of 26% and a maximum Tm of 66 °C (Fig. 2A ).



View larger version (16K):
[in this window]
[in a new window]
 
Figure 2. Melt maps of a 153-bp region of the SNRPN promoter in genomic DNA (A) and a 203-bp GC-clamped SNRPN PCR product (B).

(A), computerized melt maps of a 153-bp region of the SNRPN promoter in untreated genomic DNA (curve a) and DNA after treatment with sodium bisulfite (curve b, methylated lower strand; curve c, unmethylated lower strand). (B), melt maps calculated for the 203-bp GC-clamped SNRPN PCR product (curve d, methylated; curve e, unmethylated).

DNA samples from an apparently healthy individual, a patient with Prader-Willi syndrome, and a patient with Angelman syndrome were treated with sodium bisulfite, and the SNRPN promoter CpG island was subsequently amplified and GC-clamped with primers that are specific for bisulfite-treated DNA but do not discriminate between methylated and unmethylated alleles. The melt maps of the amplification products originating from either methylated or unmethylated SNRPN alleles are depicted in Fig. 2BUp . The GC-clamped sequence containing the unmethylated SNRPN region has a lower-temperature melting domain with a predicted Tm of 64.9 °C, whereas the Tm of this domain is 68.3 °C for the fully methylated sequence (Fig. 2BUp ). By conventional PCR, all samples yielded a product of the expected length and no nonspecific products (data not shown).

Melting analysis of the PCR products generated with DNA from an apparently healthy individual showed a biphasic decrease in the fluorescence of the double stranded DNA dye SYBR Green I (Fig. 3A ). When the melting curves were converted to melting peaks by plotting the negative derivative of fluorescence over temperature vs temperature (-dF/dT vs T), two melting peaks were observed with apparent Tms of 77.3 °C and 80.3 °C, respectively (Fig. 3B ). With bisulfite-treated DNA from a patient with Angelman syndrome, a single melting peak was observed with an apparent Tm of 77.4 °C, whereas a single peak with an apparent Tm of 80.3 °C was obtained with DNA from a patient with Prader-Willi syndrome (Fig. 3B ).



View larger version (14K):
[in this window]
[in a new window]
 
Figure 3. Fluorescence melting curves (A) and melting peaks (B) for the SNRPN gene.

Bisulfite-treated DNA was amplified from a patient with Prader-Willi syndrome (A and B, curve a), an apparently healthy individual (A and B, curve b), and a patient with Angelman syndrome (A and B, curve c). Fluorescence data for melting curves were acquired by heating the PCR products from 70 °C to 98 °C at a transition rate of 0.1 °C/s in the presence of SYBR Green I. Melting peaks were obtained by plotting the negative derivative of fluorescence over temperature vs temperature (-dF/dT vs T).

To test the reproducibility of this method, we used the SNRPN model to examine intertube and intersample variability. When the same SNRPN PCR product generated from DNA from an apparently healthy individual was distributed among seven individual glass capillaries, the Tm varied by ~0.3 °C for both the unmethylated peak and the methylated peak. The variation in Tm was ~0.4 °C when the same DNA template was amplified in seven independent reactions and subjected to melting curve analysis. In an additional series of experiments with DNA from four different individuals, the Tm variation was <0.6 °C, and the average Tm did not vary between experiments performed on different days. These data suggest that melting peak data are highly reproducible under fixed assay conditions and that the subtle variations in Tm can be ascribed, at least in part, to temperature differences in the sample carousel, in agreement with the technical specification of the LightCycler system (LightCycler Operator’s Manual, Ver. 3.0). Initial heating and reannealing before melting analysis, as recommended in some protocols, lead to highly variable melting profiles, probably attributable to the formation of heteroduplexes and/or hybrids between amplified DNA and excess primers (data not shown).

in-tube detection of heterogeneous methylation patterns
To examine the feasibility of resolving heterogeneous methylation patterns by melting curve analysis, we examined the promoter CpG island of the p15Ink4b tumor suppressor gene, which displays high intra- and interindividual variation in methylation density among patients with AML (11), (17). Bisulfite-treated DNA from AML patients and control cell lines was amplified and GC-clamped with primers flanking a region of p15Ink4b that contains 27 CpG dinucleotides (11). As shown in Fig. 4 , DNA from the unmethylated cell line HL-60 showed a melting peak with an apparent Tm of 81.3 °C, whereas a peak with an apparent Tm of 88.9 °C was obtained with DNA from the methylated MOLT-4 cell line. With DNA from two AML samples shown previously to contain high fractions of heterogeneously methylated p15Ink4b alleles (11), melting transitions tended to broaden and the melting peaks had Tms of 84.4 °C and 86.2 °C, respectively. Thus, in accordance with the theory (Fig. 1DUp ), samples containing heterogeneously methylated DNA show melting peak Tms between those of the corresponding unmethylated and fully methylated sequences.



View larger version (18K):
[in this window]
[in a new window]
 
Figure 4. Fluorescence melting peaks for the p15Ink4b gene.

Bisulfite-treated DNA was amplified from two control cell lines, HL-60 (curve a, unmethylated) and MOLT-4 (curve b, fully methylated), and from bone marrow cells from patients with AML (curves c and d).

When melting curve acquisition was integrated with PCR on the LightCycler by using the components from a commercially available reagent set, the p15Ink4b melting peak profiles of HL-60 and MOLT-4 were similar to those obtained with PCR products generated on a block thermocycler (data not shown). However, the melting peaks shifted (Tm = 83.6 °C for HL-60 and Tm = 92.4 °C for MOLT-4), possibly because of the different concentrations of MgCl2 and the substitution of dTTP with dUTP.


   Discussion
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
We have shown that fluorescence melting curve analysis is a fast and cost-effective method that can be fully integrated with PCR for detection of aberrant DNA methylation patterns. Once the bisulfite conversion of sample DNA has been performed, screening of samples can be completed in <45 min by using standard PCR reagents. Also, considering that the risk of PCR contamination is substantially reduced because no manual transfer of PCR products is required, this method should provide an attractive alternative to traditional gel-based methylation assays.

Appropriate design of PCR primers is crucial to successful methylation resolution by melting curve analysis. First, the primers must discriminate between methylated and unmethylated alleles neither at the nucleotide level (18) nor at the amplification level (19). Furthermore, because multiple melting domains in a PCR product lead to a corresponding number of melting peaks (20), a change in the methylation status of a particular CpG dinucleotide will affect only the Tm of the melting domain in which the CpG is located. Preferably, all CpG sites of the target region should be contained in one lower-melting domain of the amplified product. Modulation of melting profiles may easily be achieved by using one of several available computer algorithms in combination with PCR-based GC-clamping (21). The MELT94 algorithm used in this study produces theoretical Tms that are significantly lower than the experimental values, but it is very accurate in predicting the domain structure of the DNA molecule (unpublished data).

Temperature transition rates and concentrations of salt and dye may have a significant impact on the width and absolute position of a PCR product’s melting peak (20)(22)(23) and must be appropriately controlled for reproducible results. For routine high-throughput applications, the temperature transition rate might be chosen as the best compromise between speed and resolution. A high transition rate may cause peak broadening that hampers differentiation between methylated and unmethylated alleles. As shown for the human SNRPN gene, analysis of monoallelic methylation of a region containing 11 CpG sites at a transition rate of 0.1 °C/s led to two overlapping, but easily differentiable, melting peaks with a Tm difference of ~3 °C. At this transition rate, the melting curve analysis could be completed within 4 min. Nonoverlapping melting peaks may be obtained by lowering the temperature transition rate or increasing the number of CpG sites in the target sequence.

One of the strongest features of the present method is that it can resolve heterogeneous methylation patterns. Previous studies of bone marrow samples from patients with AML have demonstrated that the content and distribution of m5C in the promoter sequences of some tumor suppressor genes may differ significantly between different cells from the same patient (11)(17)(24)(25). Furthermore, heterogeneous methylation of promoter CpG islands in noncancerous tissues has been demonstrated for the genes encoding prolactin and growth hormone (26), suggesting that this phenomenon may be more common in biologic processes than previously believed. As shown for the p15Ink4b gene promoter, heterogeneously methylated AML samples can be easily distinguished by melting analysis by showing a broader melting peak with an overall Tm between the Tms of the unmethylated and fully methylated alleles. Although melting curve analysis does not provide information on the methylation status of individual alleles or individual CpGs, it is highly useful for rapid screening of samples for overall methylation status at specific genes and loci.

Recently, a methylation detection method was developed that combines MSP with real-time quantitative PCR (27)(28). The major advantages of real-time MSP over conventional MSP are the in-tube format and the quantitative dimension. The drawbacks of this method are that it requires expensive hybridization probes, calibration curves must be generated in each setting, heterogeneous methylation may not be detected, and analysis of methylated and unmethylated alleles must be performed in separate tubes. Melting curve analysis, on the other hand, does not require any expensive reagents, resolves heterogeneous methylation, and detects methylated and unmethylated alleles in the same reaction in a semiquantitative fashion. In its present form, this method is not suited for exact quantitative experiments or detection of very low levels of DNA methylation. Hence, quantitative MSP and melting curve analysis are complementary techniques that may allow comprehensive studies of DNA methylation in an in-tube format.


   Acknowledgments
 
We thank H. Hjalmgrim for providing us with DNA samples. This work was supported by grants from the Danish Cancer Society, the Danish Medical Research Council, and the Novo Nordisk Foundation.


   Footnotes
 
1 Nonstandard abbreviations: m5C, 5-methylcytosine; MSP, methylation-specific PCR; Tm, melting temperature; AML, acute myeloid leukemia; and SNPRN, small nuclear ribonucleoprotein-associated polypeptide N.


   References
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 

  1. Jones PA, Laird PW. Cancer epigenetics comes of age. Nat Genet 1999;21:163-167.[Web of Science][Medline] [Order article via Infotrieve]
  2. Baylin SB, Herman JG, Graff JR, Vertino PM, Issa JP. Alterations in DNA methylation: a fundamental aspect of neoplasia. Adv Cancer Res 1998;72:141-196.[Web of Science][Medline] [Order article via Infotrieve]
  3. Feinberg AP. DNA methylation, genomic imprinting and cancer. Curr Top Microbiol Immunol 2000;249:87-99.[Web of Science][Medline] [Order article via Infotrieve]
  4. Wang RY, Gehrke CW, Ehrlich M. Comparison of bisulfite modification of 5-methyldeoxycytidine and deoxycytidine residues. Nucleic Acids Res 1980;8:4777-4790.[Abstract/Free Full Text]
  5. Frommer M, McDonald LE, Millar DS, Collis CM, Watt F, Grigg GW, et al. A genomic sequencing protocol that yields a positive display of 5-methylcytosine residues in individual DNA strands. Proc Natl Acad Sci U S A 1992;89:1827-1831.[Abstract/Free Full Text]
  6. Herman JG, Graff JR, Myohanen S, Nelkin BD, Baylin SB. Methylation-specific PCR: a novel PCR assay for methylation status of CpG islands. Proc Natl Acad Sci U S A 1996;93:9821-9826.[Abstract/Free Full Text]
  7. Gonzalgo ML, Jones PA. Rapid quantitation of methylation differences at specific sites using methylation-sensitive single nucleotide primer extension (Ms-SNuPE). Nucleic Acids Res 1997;25:2529-2531.[Abstract/Free Full Text]
  8. Sadri R, Hornsby PJ. Rapid analysis of DNA methylation using new restriction enzyme sites created by bisulfite modification. Nucleic Acids Res 1996;24:5058-5059.[Abstract/Free Full Text]
  9. Xiong Z, Laird PW. COBRA: a sensitive and quantitative DNA methylation assay. Nucleic Acids Res 1997;25:2532-2534.[Abstract/Free Full Text]
  10. Wittwer CT, Ririe KM, Andrew RV, David DA, Gundry RA, Balis UJ. The LightCycler: a microvolume multisample fluorimeter with rapid temperature control. Biotechniques 1997;22:176-181.[Web of Science][Medline] [Order article via Infotrieve]
  11. Aggerholm A, Guldberg P, Hokland M, Hokland P. Extensive intra- and interindividual heterogeneity of p15INK4B methylation in acute myeloid leukemia. Cancer Res 1999;59:436-441.[Abstract/Free Full Text]
  12. Zeschnigk M, Lich C, Buiting K, Doerfler W, Horsthemke B. A single-tube PCR test for the diagnosis of Angelman and Prader-Willi syndrome based on allelic methylation differences at the SNRPN locus. Eur J Hum Genet 1997;5:94-98.[Web of Science][Medline] [Order article via Infotrieve]
  13. Lerman LS, Silverstein K, Fripp B, Sauer P, Dresselhaus C. Melt program. http://web.mit.edu/osp/www/melt.html.
  14. Zeschnigk M, Schmitz B, Dittrich B, Buiting K, Horsthemke B, Doerfler W. Imprinted segments in the human genome: different DNA methylation patterns in the Prader-Willi/Angelman syndrome region as determined by the genomic sequencing method. Hum Mol Genet 1997;6:387-395.[Abstract/Free Full Text]
  15. Guldberg P, Grøkk K, Aggerholm A, Platz A, thorStraten P, Ahrenkiel V, et al. Detection of mutations in GC-rich DNA by bisulphite denaturing gradient gel electrophoresis. Nucleic Acids Res 1998;26:1548-1549.[Abstract/Free Full Text]
  16. Nicholls RD, Saitoh S, Horsthemke B. Imprinting in Prader-Willi and Angelman syndromes. Trends Genet 1998;14:194-200.[Web of Science][Medline] [Order article via Infotrieve]
  17. Dodge JE, List AF, Futscher BW. Selective variegated methylation of the p15 CpG island in acute myeloid leukemia. Int J Cancer 1998;78:561-567.[Web of Science][Medline] [Order article via Infotrieve]
  18. Clark SJ, Harrison J, Paul CL, Frommer M. High sensitivity mapping of methylated cytosines. Nucleic Acids Res 1994;22:2990-2997.[Abstract/Free Full Text]
  19. Warnecke PM, Stirzaker C, Melki JR, Millar DS, Paul CL, Clark SJ. Detection and measurement of PCR bias in quantitative methylation analysis of bisulphite-treated DNA. Nucleic Acids Res 1997;25:4422-4426.[Abstract/Free Full Text]
  20. Wartell RM, Benight AS. Thermal denaturation of DNA molecules: a comparison of theory with experiment. Phys Rep 1985;126:67-107.
  21. Sheffield VC, Cox DR, Lerman LS, Myers RM. Attachment of a 40-base-pair G+C-rich sequence (GC-clamp) to genomic DNA fragments by the polymerase chain reaction in improved detection of single-base changes. Proc Natl Acad Sci U S A 1989;86:232-236.[Abstract/Free Full Text]
  22. Hillen W, Goodman TC, Wells RD. Salt dependence and thermodynamic interpretation of the thermal denaturation of small DNA restriction fragments. Nucleic Acids Res 1981;9:415-436.[Abstract/Free Full Text]
  23. Ririe KM, Rasmussen RP, Wittwer CT. Product differentiation by analysis of DNA melting curves during the polymerase chain reaction. Anal Biochem 1997;245:154-160.[Web of Science][Medline] [Order article via Infotrieve]
  24. Cameron EE, Baylin SB, Herman JG. p15 (INK4B) CpG island methylation in primary acute leukemia is heterogeneous and suggests density as a critical factor for transcriptional silencing. Blood 1999;94:2445-2451.[Abstract/Free Full Text]
  25. Melki JR, Vincent PC, Clark SJ. Concurrent DNA hypermethylation of multiple genes in acute myeloid leukemia. Cancer Res 1999;59:3730-3740.[Abstract/Free Full Text]
  26. Ngo V, Gourdji D, Laverriere JN. Site-specific methylation of the rat prolactin and growth hormone promoters correlates with gene expression. Mol Cell Biol 1996;16:3245-3254.[Abstract]
  27. Eads CA, Danenberg KD, Kawakami K, Saltz LB, Blake C, Shibata D, et al. MethyLight: a high-throughput assay to measure DNA methylation. Nucleic Acids Res 2000;28:e32.[Abstract/Free Full Text]
  28. Lo YM, Wong IH, Zhang J, Tein MS, Ng MH, Hjelm NM. Quantitative analysis of aberrant p16 methylation using real-time quantitative methylation-specific polymerase chain reaction. Cancer Res 1999;59:3899-3903.[Abstract/Free Full Text]



The following articles in journals at HighWire Press have cited this article:


Home page
Nucleic Acids ResHome page
F. Malentacchi, G. Forni, S. Vinci, and C. Orlando
Quantitative evaluation of DNA methylation by optimization of a differential-high resolution melt analysis protocol
Nucleic Acids Res., May 19, 2009; (2009) gkp383v1.
[Abstract] [Full Text] [PDF]


Home page
J. Mol. Diagn.Home page
E. Lyon and C. T. Wittwer
LightCycler Technology in Molecular Diagnostics
J. Mol. Diagn., March 1, 2009; 11(2): 93 - 101.
[Abstract] [Full Text] [PDF]


Home page
Nucleic Acids ResHome page
L. S. Kristensen, T. Mikeska, M. Krypuy, and A. Dobrovic
Sensitive Melting Analysis after Real Time- Methylation Specific PCR (SMART-MSP): high-throughput and probe-free quantitative DNA methylation detection
Nucleic Acids Res., April 1, 2008; 36(7): e42 - e42.
[Abstract] [Full Text] [PDF]


Home page
Nucleic Acids ResHome page
C. Dahl and P. Guldberg
A ligation assay for multiplex analysis of CpG methylation using bisulfite-treated DNA
Nucleic Acids Res., December 18, 2007; 35(21): e144 - e144.
[Abstract] [Full Text] [PDF]


Home page
Clin. Chem.Home page
C. Dahl and P. Guldberg
High-Resolution Melting for Accurate Assessment of DNA Methylation
Clin. Chem., November 1, 2007; 53(11): 1877 - 1878.
[Full Text] [PDF]


Home page
Clin. Chem.Home page
H. E. White, V. J. Hall, and N. C.P. Cross
Methylation-Sensitive High-Resolution Melting-Curve Analysis of the SNRPN Gene as a Diagnostic Screen for Prader-Willi and Angelman Syndromes
Clin. Chem., November 1, 2007; 53(11): 1960 - 1962.
[Abstract] [Full Text] [PDF]


Home page
Clin. Cancer Res.Home page
M. Bettstetter, S. Dechant, P. Ruemmele, M. Grabowski, G. Keller, E. Holinski-Feder, A. Hartmann, F. Hofstaedter, and W. Dietmaier
Distinction of Hereditary Nonpolyposis Colorectal Cancer and Sporadic Microsatellite-Unstable Colorectal Cancer through Quantification of MLH1 Methylation by Real-time PCR
Clin. Cancer Res., June 1, 2007; 13(11): 3221 - 3228.
[Abstract] [Full Text] [PDF]


Home page
Clin. Chem.Home page
C. Dahl, K. Gronskov, L. A. Larsen, P. Guldberg, and K. Brondum-Nielsen
A Homogeneous Assay for Analysis of FMR1 Promoter Methylation in Patients with Fragile X Syndrome
Clin. Chem., April 1, 2007; 53(4): 790 - 793.
[Abstract] [Full Text] [PDF]


Home page
Nucleic Acids ResHome page
T. K. Wojdacz and A. Dobrovic
Methylation-sensitive high resolution melting (MS-HRM): a new approach for sensitive and high-throughput assessment of methylation
Nucleic Acids Res., March 19, 2007; 35(6): e41 - e41.
[Abstract] [Full Text] [PDF]


Home page
Clin. Chem.Home page
M. Procter, L.-S. Chou, W. Tang, M. Jama, and R. Mao
Molecular Diagnosis of Prader-Willi and Angelman Syndromes by Methylation-Specific Melting Analysis and Methylation-Specific Multiplex Ligation-Dependent Probe Amplification
Clin. Chem., July 1, 2006; 52(7): 1276 - 1283.
[Abstract] [Full Text] [PDF]


Home page
Cancer Epidemiol. Biomarkers Prev.Home page
P. Sova, Q. Feng, G. Geiss, T. Wood, R. Strauss, V. Rudolf, A. Lieber, and N. Kiviat
Discovery of Novel Methylation Biomarkers in Cervical Carcinoma by Global Demethylation and Microarray Analysis
Cancer Epidemiol. Biomarkers Prev., January 1, 2006; 15(1): 114 - 123.
[Abstract] [Full Text] [PDF]


Home page
Nucleic Acids ResHome page
J. Tost, P. Schatz, M. Schuster, K. Berlin, and I. G. Gut
Analysis and accurate quantification of CpG methylation by MALDI mass spectrometry
Nucleic Acids Res., May 1, 2003; 31(9): e50 - e50.
[Abstract] [Full Text] [PDF]


Home page
Clin. Chem.Home page
P. S. Bernard and C. T. Wittwer
Real-Time PCR Technology for Cancer Diagnostics
Clin. Chem., August 1, 2002; 48(8): 1178 - 1185.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (35)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Worm, J.
Right arrow Articles by Guldberg, P.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Worm, J.
Right arrow Articles by Guldberg, P.
Related Collections
Right arrow Molecular Diagnostics and Genetics


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS