Application of microarrays for DNA methylation profiling

Biomarker development in the precision medicine era: lung cancer as a case study

Precision medicine relies on validated biomarkers with which to better classify patients by their probable disease risk, prognosis and/or response to treatment. Although affordable 'omics'-based technology has enabled faster identification of putative biomarkers, the validation of biomarkers is still stymied by low statistical power and poor reproducibility of results. This Review summarizes the successes and challenges of using different types of molecule as biomarkers, using lung cancer as a key illustrative example. Efforts at the national level of several countries to tie molecular measurement of samples to patient data via electronic medical records are the future of precision medicine research.

MSRE-HTPrimer: a high-throughput and genome-wide primer design pipeline optimized for epigenetic research

Background

Methylation-sensitive restriction enzymes—polymerase chain reaction (MSRE-PCR) has been used in epigenetic research to identify genome-wide and gene-specific DNA methylation. Currently, epigenome-wide discovery studies provide many candidate regions for which the MSREqPCR approach can be very effective to confirm the findings. MSREqPCR provides high multiplexing capabilities also when starting with limited amount of DNA-like cfDNA to validate many targets in a time- and cost-effective manner. Multiplex design is challenging and cumbersome to define specific primers in an effective manner, and no suitable software tools are freely available for high-throughput primer design in a time-effective manner and to automatically annotate the resulting primers with known SNPs, CpG, repeats, and RefSeq genes. Therefore a robust, powerful, high-throughput, optimized, and methylation-specific primer design tool with great accuracy will be very useful.

Results

We have developed a novel pipeline, called MSRE-HTPrimer, to design MSRE-PCR and genomic PCR primers pairs in a very efficient manner and with high success rate. First, our pipeline designs all possible PCR primer pairs and oligos, followed by filtering for SNPs loci and repeat regions. Next, each primer pair is annotated with the number of cut sites in primers and amplicons, upstream and downstream genes, and CpG islands loci. Finally, MSRE-HTPrimer selects resulting primer pairs for all target sequences based on a custom quality matrix defined by the user. MSRE-HTPrimer produces a table for all resulting primer pairs as well as a custom track in GTF file format for each target sequence to visualize it in UCSC genome browser.

Conclusions

MSRE-HTPrimer, based on Primer3, is a high-throughput pipeline and has no limitation on the number and size of target sequences for primer design and provides full flexibility to customize it for specific requirements. It is a standalone web-based pipeline, which is fully configured within a virtual machine and thus can be readily used without any configuration. We have experimentally validated primer pairs designed by our pipeline and shown a very high success rate of primer pairs: out of 190 primer pairs, 71 % could be successfully validated. The MSRE-HTPrimer software is freely available from http://sourceforge.net/p/msrehtprimer/wiki/Virtual_Machine/ as a virtual machine.

Electronic supplementary material

The online version of this article (doi:10.1186/s13148-016-0190-9) contains supplementary material, which is available to authorized users.

Cellphone camera imaging of a periodically patterned chip as a potential method for point-of-care diagnostics

In this study, we demonstrate that a disposable chip periodically patterned with suitable ligands, an ordinary cellphone camera, and a simple pattern recognition software, can potentially be used for quantitative diagnostics. A key factor in this demonstration is the design of a calibration grid around the chip that, through a contrast transfer process, enables reliable analysis of the images collected under variable ambient lighting conditions. After exposure to a dispersion of amine terminated silica beads used as analyte mimicking pathogens, an epoxy-terminated glass substrate microcontact printed with octadecyltrichlorosilane (250 μm periodicity) developed a characteristic pattern of beads which could be easily imaged with a cellphone camera of 3.2 MP pixels. A simple pattern recognition algorithm using fast Fourier transform produced a quantitative estimate of the analyte concentration present in the test solution. In this method importantly, neither the chip fabrication process nor the fill-factor of the periodic pattern need be perfect to arrive at a conclusive diagnosis. The method suggests a viable platform that may potentially find use in fault-tolerant and robust point-of-care diagnostic applications.

Hypermethylation of the gene LARP2 for noninvasive prenatal diagnosis of β-thalassemia based on DNA methylation profile

In order to identify epigenetic markers of β-thalassemia, a genome-wide profiling method named differential methylation hybridization was used to search these differentially methylated genes. Unsupervised hierarchical clustering and molecular annotation system were used to analyze the data, and methylation-specific PCR and real-time PCR were used to confirm the differentially methylated genes. This system was validated by detecting 13 cases, 10 of which were homo-zygous β-thalassaemia. Totally 113 genes were identified as methlyation-enriched genes (ratio ≥ 2.0, P < 0.05) and 96 genes were identified as hypomethylated genes in both groups (ratio ≤ 0.5, P < 0.05). The promoter of the gene of La ribonucleoprotein domain family (LARP2) was significantly hypermethylated in β-thalassemia, and the expression of LARP2 was significantly lower in β-thalassemia. Hypermethylation of the LARP2 promoter was correlated with its lower expression in β-thalassemia and our chip-based DNA methylation detection system can provide earlier diagnosis of β-thalassemia using this epigenetic marker.

DNA methylation testing and marker validation using PCR: diagnostic applications

DNA methylation provides a fundamental epigenetic mechanism to establish and promote cell-specific gene-expression patterns, which are inherited by subsequent cell generations. Thus, the epigenome determines the differentiation into a cell lineage but can also program cells to become abnormal or malignant. In humans, different germline and somatic diseases have been linked to faulty DNA methylation. In this article, we will discuss the available PCR-based technologies to assess differences in DNA methylation levels mainly affecting 5-methylcytosine in the CpG dinucleotide context in hereditary syndromal and somatic pathological conditions. We will discuss some of the current diagnostic applications and provide an outlook on how DNA methylation-based biomarkers might provide novel tools for diagnosis, prognosis or patient stratification for diseases such as cancer.

A sustained dietary change increases epigenetic variation in isogenic mice

Epigenetic changes can be induced by adverse environmental exposures, such as nutritional imbalance, but little is known about the nature or extent of these changes. Here we have explored the epigenomic effects of a sustained nutritional change, excess dietary methyl donors, by assessing genomic CpG methylation patterns in isogenic mice exposed for one or six generations. We find stochastic variation in methylation levels at many loci; exposure to methyl donors increases the magnitude of this variation and the number of variable loci. Several gene ontology categories are significantly overrepresented in genes proximal to these methylation-variable loci, suggesting that certain pathways are susceptible to environmental influence on their epigenetic states. Long-term exposure to the diet (six generations) results in a larger number of loci exhibiting epigenetic variability, suggesting that some of the induced changes are heritable. This finding presents the possibility that epigenetic variation within populations can be induced by environmental change, providing a vehicle for disease predisposition and possibly a substrate for natural selection.

Epigenetic changes to gene expression that do not involve changes to DNA sequence can be influenced by the environment and provide one candidate mechanism by which early nutrition can influence adult disease risk. Here, we examined epigenetic changes across the genome in response to short- and long-term exposure to a dietary supplement in genetically identical mice. We find that the supplement induces small but widespread epigenetic changes in exposed mice. These changes increase the epigenetic variability among exposed mice, and this effect is magnified in mice exposed long-term. The epigenetic changes are overrepresented in gene functions involved in cell and organ development and in gene expression. Our data is consistent with the external environment having pervasive effects on the epigenome and suggests that some genetic pathways may be more susceptible to environmental influence than others.

Utility of DNA methylation markers for diagnosing cancer

DNA methylation occurs at the CpG residues and serves as a powerful epigenetic mechanism that negatively regulates gene expression. This process is catalyzed by DNA methyltransferases and occurs within "CpG islands" found in the promoter regions of >70% of human genes. Given the important role of DNA methylation in regulating gene expression, un-programmed changes in methylation patterns are expected to either silence or activate transcription of tumor suppressor genes (via hypermethylation) or oncogenes (via demethylation), respectively, and by doing so promote a disease state. In light of the fact that a number of different cancers are frequently associated with hypermethylated tumor suppressor genes together with the observation that tumor derived genomic DNAs are present in various body fluids including serum/plasma, urine, sputum and bronchial lavage, methylated DNA has shown tremendous promise to serve as a robust biomarker for detecting cancer. Over the last several years protocols for capturing small amounts of DNA in circulation have been developed. Once captured, DNA methylation may be readily monitored by restriction enzyme digestion or bisulfite conversion followed by amplification of the desired genomic region with the polymerase chain reaction (PCR). New technologies which employ methyl-binding protein or antibodies that bind specifically to methylated-CpG residues have now enabled investigators to interrogate the status of entire "DNA methyome" of diseased tissue in an efficient and cost-effective manner. In this review, we describe the various tumor suppressor genes that are frequently hypermethylated in different cancers and how these and other methylated loci may be employed as clinically useful biomarkers for diagnosing cancer noninvasively using readily available body fluids.

Rethinking periodontal inflammation

Clinical signs and symptoms, as well as medical and dental history, are all considered in the clinical determination of gingival inflammation and periodontal disease severity. However, the "biologic systems model" highlights that the clinical presentation of periodontal disease is closely tied to the underlying biologic phenotype. We propose that the determination and integration of subject-level factors, microbial composition, systemic immune response, and gingival tissue inflammatory mediator responses will better reflect the biology of the biofilm-gingival interface in a specific patient and may provide insights on clinical management. Disease classifications and multivariable models further refine the biologic basis for the increasing severity of periodontal disease expression. As such, new classifications may better identify disease-susceptible and treatment-non-responsive individuals than current classifications that are heavily influenced by probing and attachment level measurements alone. New data also suggest that the clinical characteristics of some complex diseases, such as periodontal disease, are influenced by the genetic and epigenetic contributions to clinical phenotype. Although the genetic basis for periodontal disease is considered imperative for setting an inflammatory capacity for an individual and, thus, a threshold for severity, there is evidence to suggest an epigenetic component is involved as well. Many factors long associated with periodontitis, including bacterial accumulations, smoking, and diabetes, are known to produce strong epigenetic changes in tissue behavior. We propose that we are now able to rethink periodontal disease in terms of a biologic systems model that may help to establish more homogeneous diagnostic categories and can provide insight into the expected response to treatment.