Single-molecule, genome-scale analyses of DNA modifications: exposing the epigenome with next-generation technologies

Exploring epigenomic mechanisms of neural tube defects using multi-omics methods and data

Neural tube defects (NTDs) are a heterogeneous set of malformations attributed to disruption in normal neural tube closure during early embryogenesis. An in-depth understanding of NTD etiology and mechanisms remains elusive, however. Among the proposed mechanisms, epigenetic changes are thought to play an important role in the formation of NTDs. Epigenomics covers a wide spectrum of genomic DNA sequence modifications that can be investigated via high-throughput techniques. Recent advances in epigenomic technologies have enabled epigenetic studies of congenital malformations and facilitated the integration of big data into the understanding of NTDs. Herein, we review clinical epigenomic data that focuses on DNA methylation, histone modification, and miRNA alterations in human neural tissues, placental tissues, and leukocytes to explore potential mechanisms by which candidate genes affect human NTD pathogenesis. We discuss the links between epigenomics and gene regulatory mechanisms, and the effects of epigenetic alterations in human tissues on neural tube closure.

Active human nucleolar organizer regions are interspersed with inactive rDNA repeats in normal and tumor cells

AIM

The synthesis of rRNA is a key determinant of normal and malignant cell growth and subject to epigenetic regulation. Yet, the epigenomic features of rDNA arrays clustered in nucleolar organizer regions are largely unknown. We set out to explore for the first time how DNA methylation is distributed on individual rDNA arrays.

MATERIALS & METHODS

Here we combined immunofluorescence detection of DNA modifications with fluorescence hybridization of single DNA fibers, metaphase immuno-FISH and methylation-sensitive restriction enzyme digestions followed by Southern blot.

RESULTS

We found clustering of both hypomethylated and hypermethylated repeat units and hypermethylation of noncanonical rDNA in IMR90 fibroblasts and HCT116 colorectal carcinoma cells. Surprisingly, we also found transitions between hypo- and hypermethylated rDNA repeat clusters on single DNA fibers.

CONCLUSION

Collectively, our analyses revealed co-existence of different epialleles on individual nucleolar organizer regions and showed that epi-combing is a valuable approach to analyze epigenomic patterns of repetitive DNA.

Single molecule and single cell epigenomics

Dynamically regulated changes in chromatin states are vital for normal development and can produce disease when they go awry. Accordingly, much effort has been devoted to characterizing these states under normal and pathological conditions. Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is the most widely used method to characterize where in the genome transcription factors, modified histones, modified nucleotides and chromatin binding proteins are found; bisulfite sequencing (BS-seq) and its variants are commonly used to characterize the locations of DNA modifications. Though very powerful, these methods are not without limitations. Notably, they are best at characterizing one chromatin feature at a time, yet chromatin features arise and function in combination. Investigators commonly superimpose separate ChIP-seq or BS-seq datasets, and then infer where chromatin features are found together. While these inferences might be correct, they can be misleading when the chromatin source has distinct cell types, or when a given cell type exhibits any cell to cell variation in chromatin state. These ambiguities can be eliminated by robust methods that directly characterize the existence and genomic locations of combinations of chromatin features in very small inputs of cells or ideally, single cells. Here we review single molecule epigenomic methods under development to overcome these limitations, the technical challenges associated with single molecule methods and their potential application to single cells.

Recent advances in the bioanalysis of modified nucleotides in epigenetic studies

Epigenetic alterations, such as DNA methylation, are involved in the pathogenesis of various diseases, the toxicity of diverse agents, the process of aging, the development of stem cells and numerous other mechanisms. DNA methylation is one of the most well-studied epigenetic alterations in mammals. Nevertheless, the scientific interest is now focusing on novel modified nucleotides with potential regulatory roles, such as 5-hydroxymethylcytosine. We currently present and discuss novel bioanalytical strategies developed for the determination of various modified nucleotides in epigenetic studies.

Methyl-combing: single-molecule analysis of DNA methylation on stretched DNA fibers

The methyl-combing technique combines the dynamic molecular combing method with the detection of DNA modifications. The assay allows the single-molecule analysis of epigenetic marks on regularly stretched DNA fibers, at the megabase scale with kilobase resolution. The protocol presented in this chapter is based on proof-of-principle experiments where the single-molecule detection of DNA methylation has been performed on unmethylated and in vitro methylated λ phage DNA.

Efficacy of a 3rd generation high-throughput sequencing platform for analyses of 16S rRNA genes from environmental samples

Longer sequences of the bacterial 16S rRNA gene could provide greater phylogenetic and taxonomic resolutions and advance knowledge of population dynamics within complex natural communities. We assessed the accuracy of a Pacific Biosciences (PacBio) single molecule, real time (SMRT) sequencing based on DNA polymerization, a promising 3rd generation high-throughput technique, and compared this to the 2nd generation Roche 454 pyrosequencing platform. Amplicons of the 16S rRNA gene from a known isolate, Shewanella oneidensis MR1, and environmental samples from two streambed habitats, rocks and sediments, and a riparian zone soil, were analyzed. On the PacBio we analyzed ~500 bp amplicons that covered the V1-V3 regions and the full 1500 bp amplicons of the V1-V9 regions. On the Roche 454 we analyzed the ~500 bp amplicons. Error rates associated with the isolate were lowest with the Roche 454 method (2%), increased by more than 2-fold for the 500 bp amplicons with the PacBio SMRT chip (4-5%), and by more than 8-fold for the full gene with the PacBio SMRT chip (17-18%). Higher error rates with the PacBio SMRT chip artificially inflated estimates of richness and lowered estimates of coverage for environmental samples. The 3rd generation sequencing technology we evaluated does not provide greater phylogenetic and taxonomic resolutions for studies of microbial ecology.