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Systematic Methological Platform Epigenetics

Hybridisation pattern produced on an in situ synthesised oligonucleotide chip of the Geniom system. Genomic DNA was treated with sodium bisulfite and subjected to PCR-amplification. The resulting, fluorescently labelled fragments produced signals at oligomers that represent their original methylation status.
© dkfz.de



Changes in genomic DNA methylation patterns are one of the earliest and most consistent features of tumourigenesis. It has been demonstrated that aberrant DNA methylation profiles can be used as a valuable marker for clinical tumour characterisation. However, very little is known about the nature of these changes and their role in cellular transformation. Progress in the field has been hampered by the unavailability of methods for genomic epigenetic profiling. We have established a method for the detection of methylation variations on oligonucleotide microarrays, using bisulfite treatment to uncover the methylation status. Sodium bisulfite induces methylation-dependent single nucleotide polymorphisms by converting unmethylated cytosine to uracil and, upon PCR amplification, to thymine. 5-methylcytosine is not affected by sodium bisulfite treatment and thus becomes amplified as cytosine.



Conversion of unmethylated cytosine to uracil by a treatment with bisulfite.


We utilise this technology toward a genome-wide, gene-specific analysis of DNA methylation. This approach will result in a detailed characterisation of genomic methylation patterns. The data will be evaluated together with the available clinical data and results from transcriptional profiling. Our data will allow fundamental insights into the role of DNA methylation during tumourigenesis and provide the foundation for an epigenetic classification of tumours.

Figure. (A) Variance in genome coverage of clone library.(B) Gel separation of the difference products from a comparison of genomic DNA versus library DNA. The enzymes Sau3AI and BamHI had been used for the initial restriction digests; M: 100 bp marker ladder. (C) Individual fragments were picked at random and end-sequenced. 74% of the sequences were not contained in the clone library but in the final X. fastidiosa genome sequence. The relatively high portion of false positives is probably the result of the single step of subtraction enrichment, done in an attempt to reach a compromise between specificity and representation.
© dkfz.de

As part of the National German Research Network (NGFN), we utilise microarray technology toward a genome-wide, gene-specific analysis of DNA methylation patterns. The platform is based on two projects funded earlier by the Deutsche Forschungsgemeinschaft and within the DHGP (see below).

The group assembled in this platform has established the means for (1) the sodium bisulfite modification of DNA samples for the generation of methylation-dependent polymorphisms, (2) the detection of the resulting single-base polymorphisms on complex oligonucleotide microarrays and (3) bioinformatics platforms for subsequent data analysis, with a special focus on combining the epigenetic information with transcript profiles and clinical information. Also, for the analyses performed within the SMP, clinical material with corresponding clinicopathological information is available.

Infrastructure will be provided that will be used in collaborations within the NGFN-2 network and beyond for a global analysis of epigenetic variations by means of microarray-based analyses. Different systems, which meet the respective requirements, will be provided. By comparison between them, standards will be defined that will allow comparability of data across platforms and across various areas of analysis. Also for this purpose, the existing close connection and interrelation of this partnership with international efforts is crucial. The platform combines groups with complementary but nevertheless sufficiently overlapping expertise, competence and capability to provide the proposed platform. Parallel to application, technical developments will be performed in order to improve quality and reliability.

The work plan can be divided into three parts: standardisation, evaluation, production. Initially, the array systems will be compared. Also, the preparative steps will be harmonised. Objective of this work portion is a standardisation of protocols, handling steps, analysis tools, algorithms and processes that allow the comparison of the data irrespective of their origin.

© dkfz.de

During the evaluation phase, the SMP will establish across the platform the entire process of high-throughput screening, transfer of the gained knowledge into appropriate chip formats and their subsequent use in actual analyses. In terms of biology, there will be a focus on chronic lymphocytic leukemia, melanoma, pancreatic and prostate cancer, since well-defined material for these tissues is available within the SMP.

After these two phases, the whole platform will be operational with defined standards, established protocols and communication processes within the SMP and to the partners in NGFN (and beyond). Depending on the requirements of the individual study, the platform will then offer a portfolio of systems, from which the combination can be select that will be best suited to achieve the respective objective.

Platform objectives:

  • High-throughput screening based on pre-selected methylation sites.
  • High-throughput screening based on comprehensive CpG-island array.
  • Chip design and evaluation.
  • Research-type medium-throughput analysis on complex arrays
  • Routine analysis on microarrays of low complexity.
  • High-throughput analyses on complex arrays.
  • Methodical analysis of the methylation sites in chromosome 21.

The anticipated overall results from the SMP’s activities are: (1) definition and establishment of standards for epigenetic analyses on microarray systems. Evaluation and comparison to other systems via external networking as with the Human Epigenome Project, for example; (2) establishment of genome-wide microarrays for a global analysis of disease-relevant variations in methylation; (3) identification of disease-specific markers or patterns for diagnosis and prognosis; (4) identification of methylation patterns that are indicative for the action of drugs (clinical and commercial utilisation by the respective SMP- and NGFN-partners).

Participants:

  • Jörg Hoheisel (platform coordinator), Deutsches Krebsforschungszentrum, Heidelberg (Chip Technology)
  • Frank Lyko, Deutsches Krebsforschungszentrum, Heidelberg (Epigenetics)
  • Hermann-Josef Gröne, Deutsches Krebsforschungszentrum, Heidelberg (Tumour bank)
  • Andreas Waha, Universität Bonn (Epigenetics)
  • Matthias Schuster, Epigenomics, Berlin (Epigenomics)
  • Peer Stähler, Febit biotech, Heidelberg (Chip Technology)
  • Jörn Walter, Universität Saarbrücken (Epigenetics)
  • Albert Jeltsch, Internationale Universität Bremen (Epigenetics)
  • Richard Reinhard, Max-Planck-Institut für Molekulare Genetik (Sequencing)
  • Matthias Platzer, Leibniz Institut für Altersforschung, Jena (Sequencing)

         
         

Chip-based epigenetic analyses

Establishment of a p16 mthylation array. (A) Confirmation of the methylation status of in vitro-generated p16 templates by bisulfite sequencing. A sequence of 692 bp of the promoter region including the CpG island is shown. Filled squares indicate methylated cytosines, open squares represent unmethylated cytosines. (B) Pairwise comparisons of raw hybridisation data. Each data point in the scatterplots represents the signal intensities observed at a particular oligonucleotide probe in the hybridisations of a cell line and a control sample. Left panel: amplicon of the cell line SW480 versus the in vitro methylated target DNA; the Pearson coefficient is 0.88. Middle panel: cell line SW480 versus unmethylated target DNA; the Pearson coefficient is 0.27. Right panel: cell line HCT116, with 50% p16 methylation, versus an unmethylated target; a clear separation into signals of high and low correlation can be seen.
© dkfz.de

   

The basis for the above mentioned NGFN platform was laid in collaborative projects with Frank Lyko (Division of Epigenetics, DKFZ) as well as the company Epigenomics in Berlin. Because of the bisulfite conversion, methylation patterns can be presented as chemically introduced single nucleotide polymorphisms (SNPs) and analysed accordingly using a number of different microarray-based approaches.

To date, we performed the analysis mainly by direct hybridisation to complementary oligonucleotides synthesised in situ on the Geniom system of febit. Due to the density of CpG sites in CpG islands, however, frequently there is more than one CpG contained in a single oligonucleotide. For an analysis, all possibke permutations need to be representedon the microarray. Nevertheless, accuracy is effected negatively because of this.

Validation of cytosine methylation patterns by genomic bisulfite sequencing. Genomic DNA was subjected to bisulfite sequencing. The sequences were aligned to the corresponding region of the genomic sequence of p16 and the methylation status of all cytosine residues was determined. A sequence of 692 bp of the promoter region including the CpG island is shown. Filled squares indicate methylated cytosines, open squares represent unmethylated cytosines. The average methylation level is presented on the right. Below, the average results derived form array-based analyses are shown for a representative region.
© dkfz.de

In a pilot study, the approach was used to study the CpG island in the promoter region of the tumour suppressor gene p16. In total, 876 oligonucleotide probes of 21 nucleotides in length were used to inspect the methylation status of 53 CpG dinucleotides, producing correct signals in colorectal cancer cell lines as well as control samples with a defined methylation status. The information was validated by established alternative methods. The overall methylation pattern was consistent for each cell line, while different between them. At the level of individual cytosines, however, significant variations between individual cells of the same type were found, but also consistencies across the panel of cancer cell lines. The probe sequences used for the analysis of p16 (Mund et al., Nucleic Acids Res. 33, e73) are available here.

Alternatively, an on-chip primer extension reaction can be performed. This is reducing the number of oligonucleotide significantly and concomitantly increases the accuracy of base calling, since the process combines binding to a complementary oligonucleotide with the specificity of the polymerase. We use the APEX system established in the group of Andres Metspaly (Tartu University, Estonia). The chip-bound primers hybridise to the genomic sequence directly adjacent to the base of interest. Upon an incubation with labelled dideoxynucleotides, the fitting nucleotide is incorporated by the polymerase and can be detected by means of the specific fluorophor.

Molecular Epidemiology: typing single nucleotide polymorphisms (SNPs)



SNP-typing experiments for molecular epidemiological studies on flexible, in situ synthesised oligonucleotide microarrays are pursued in collaboration with the DKFZ Division of Clinical Epidemiology (Alexandra Nieters and Nikolaus Becker) and febit. The investigation of gene-environment and gene-gene interactions in complex diseases requires large, epidemiologically well characterised populations and flexible, high-throughput genotyping technologies. Important for the study of context-specific SNP combinations is a flexible chip design.

For the analysis of SNPs associated with the existence of lymphoid neoplasms, such a microarray has been established. Initial aim of this project is the comparison of epidemiological data obtained from a case-control study of 600 patients and 600 controls with molecular information on some 100 appropriate SNPs. Currently, 24 oligonucleotides are being used for each SNP, 12 for either DNA-strand. The PCR-products of all studied SNPs are analysed simultaneously in a single hybridisation. While a set of evaluated polymorphisms does exists, more are selected nevertheless. Also to this end, the Geniom system is extremely helpful, since permitting on-site production and use of oligonucleotide microarrays of entirely flexible design. The complete freedom in the choice of oligomer sequences is elementary for the evaluation and selection of informative SNPs.


Result of a simultaneous hybridisation of PCR-products that represent 95 SNPs. An example each of heterozygous and homozygous polymorphisms are highlighted, which were confirmed by enzymatic sequencing.

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