High Resolution Detection and Analysis of CpG Dinucleotides Methylation Using MBD-Seq Technology

Methyl-CpG binding domain protein sequencing (MBD-seq) is widely used to survey DNA methylation patterns. However, the optimal experimental parameters for MBD-seq remain unclear and the data analysis remains challenging. In this study, we generated high depth MBD-seq data in MCF-7 cell and developed a bi-asymmetric-Laplace model (BALM) to perform data analysis. We found that optimal efficiency of MBD-seq experiments was achieved by sequencing ∼100 million unique mapped tags from a combination of 500 mM and 1000 mM salt concentration elution in MCF-7 cells. Clonal bisulfite sequencing results showed that the methylation status of each CpG dinucleotides in the tested regions was accurately detected with high resolution using the proposed model. These results demonstrated the combination of MBD-seq and BALM could serve as a useful tool to investigate DNA methylome due to its low cost, high specificity, efficiency and resolution

Microfluidic high performance liquid chromatography-chip hyphenation to inductively coupled plasma-mass spectrometry

The Agilent Chip Cube Interface is a microfluidic chip-based technology originally designed for nanospray molecular mass spectrometry in which the sample enrichment, nano-column, tubing, connectors and spray tip were integrated into a single biocompatible chip. Here we describe the hyphenation of the Chip Cube Interface to ICP-MS via modification of the standard HPLC chip design and a new total consumption nebuliser suitable for flow rates as low as 300nLmin-1. The potential of the instrument to eliminate common nanoLC - ICP-MS shortcomings such as leaks, blockages and band-broadening was demonstrated via analysis of cyanocobalamin in equine plasma. The method was linear over three orders of magnitude with an r2 of 0.9999, the peak area repeatability was 1.9% (n=7), and the detection limit was 14ngmL-1. This novel configuration of the Chip Cube Interface coupled to ICP-MS is a suitable platform for the analysis of biomolecules associated with trace metals and speciation applications

Integrated coastal assessment:The way forward

The preceding chapters have laid out the range of challenges of coastal simulation to support future coastal management, with a particular focus on understanding erosion, fl ood and habitat changes and their links to coastal management. The detailed case study in Norfolk places the theory and generic principles in a real-world management context that is particularly relevant to the UK, while international case studies (Chap. 13 ) have introduced a range of alternative challenges and perspectives. The Tyndall Centre's coastal programme has highlighted how the management of the coastline needs to refl ect the connectivity between the various geomorphological features, natural processes, engineered structures and socio-economic drivers. Moreover, it is crucial to understand the trade-offs that result from different management strategies. In the Norfolk case, the analysis strengthens the argument for a change in the widespread historic management approach of "hold the line" towards allowing as much of the coastline as possible to return to a more natural and dynamic confi guration. However, this is challenging for coastal governance, raising questions about how to address the concerns of directly and indirectly affected landowners and householders on the eroding coast

ChIP–seq and beyond: new and improved methodologies to detect and characterize protein–DNA interactions

Chromatin immunoprecipitation experiments followed by sequencing (ChIP-seq) detect protein-DNA binding events and chemical modifications of histone proteins. Challenges in the standard ChIP-seq protocol have motivated recent enhancements in this approach, such as reducing the number of cells required and increasing the resolution. Complementary experimental approaches – for example DNaseI hypersensitive site mapping and analysis of chromatin interactions mediated by particular proteins - provide additional information about DNA-binding proteins and their function. These data are now being used to identify variability in the functions of DNA-binding proteins across genomes and individuals. In this Review, I describe the latest advances in methods to detect and functionally characterize DNA-bound proteins