Current methods for genomic mapping of 5-hydroxymethylcytosine (5hmC) have been limited by either costly sequencing depth, high DNA input, or lack of single-base resolution. We present an approach called Reduced Representation 5-Hydroxymethylcytosine Profiling (RRHP) to map 5hmC sites at single-base resolution by exploiting the use of beta-glucosyltransferase to inhibit enzymatic digestion at the junction where adapters are ligated to a genomic library. Therefore, only library fragments presenting glucosylated 5hmC residues at the junction are sequenced. RRHP can detect sites with low 5hmC abundance, and when combined with RRBS data, 5-methylcytosine and 5-hydroxymethylcytosine can be compared at a specific site.
Current methods for genomic mapping of 5-hydroxymethylcytosine (5hmC) have been limited by either costly sequencing depth, high DNA input, or lack of single-base resolution. We present an approach called Reduced Representation 5-Hydroxymethylcytosine Profiling (RRHP) to map 5hmC sites at single-base resolution by exploiting the use of beta-glucosyltransferase to inhibit enzymatic digestion at the junction where adapters are ligated to a genomic library. Therefore, only library fragments presenting glucosylated 5hmC residues at the junction are sequenced. RRHP can detect sites with low 5hmC abundance, and when combined with RRBS data, 5-methylcytosine and 5-hydroxymethylcytosine can be compared at a specific site.Electronic supplementary materialThe online version of this article (doi:10.1186/s13059-014-0456-5) contains supplementary material, which is available to authorized users.
Designing hardware for miniaturized robotics which mimics the capabilities of flying insects is of interest, because they share similar constraints (i.e. small size, low weight, and low energy consumption). Research in this area aims to enable robots with similarly efficient flight and cognitive abilities. Visual processing is important to flying insects' impressive flight capabilities, but currently, embodiment of insect-like visual systems is limited by the hardware systems available. Suitable hardware is either prohibitively expensive, difficult to reproduce, cannot accurately simulate insect vision characteristics, and/or is too heavy for small robotic platforms. These limitations hamper the development of platforms for embodiment which in turn hampers the progress on understanding of how biological systems fundamentally work. To address this gap, this paper proposes an inexpensive, lightweight robotic system for modelling insect vision. The system is mounted and tested on a robotic platform for mobile applications, and then the camera and insect vision models are evaluated. We analyse the potential of the system for use in embodiment of higher-level visual processes (i.e. motion detection) and also for development of navigation based on vision for robotics in general. Optic flow from sample camera data is calculated and compared to a perfect, simulated bee world showing an excellent resemblance.
A new method of signal analysis for automated fluorescence-based DNA sequencing is presented. Signal resolution is a limiting factor in obtaining accurate sequence information beyond 400-450 nucleotides per gel lane. We have developed a computer program for the imaging of DNA bands in sequencing gels. The image analysis shows that distortions in the shapes of the bands decrease resolution of peaks observed served in the standard data plots. Reconstruction of the undistorted band shape prior to signal analysis substantially improves the resolution of peaks and may improve the accuracy and length of the contiguous sequence read. Image analysis identified other factors limiting the accuracy and length of automated DNA sequence analysis and provided a tool for evaluating various remedies. Our techniques should also be applicable in other systems, for example, in gel electrophoresis of proteins and DNA restriction fragments, and in scranning densitometry.
Summary In this chapter, we describe a method for purification and analysis of the enzymatic activity of deadenylase enzymes. Nearly all eukaryotic messenger RNAs are modified at the 3’ end by addition of an adenosine polymer: the poly-adenosine tail. The poly(A) tail plays a central role in protein expression and mRNA fate. The poly(A) tail promotes translation of the mRNA. Shortening of the poly(A) tail, referred to as deadenylation, reduces protein synthesis and initiates destruction of the mRNA. A specialized class of exoribonucleases, called deadenylase enzymes, carries out this process. Deadenylases are found throughout eukarya but their functions remain largely unexplored. We present a detailed protocol to analyze deadenylase activity in vitro. First, recombinant deadenylase enzyme is over-expressed and purified from bacteria. Next, labeled RNA substrate is prepared. Deadenylation reactions are performed and reaction products are analyzed by denaturing gel electrophoresis. Reaction rates are then determined quantitatively. Crucial controls and experimental parameters are described along with practical tips that promote success.
5-Hydroxymethylcytosine (5-hmC) is a new epigenetic hallmark rapidly getting much interest as the subject of mapping and sequencing work. While the exact function of 5-hmC is not fully understood, it is likely to regulate gene expression via active DNA de-methylation. Previous studies have shown it may play an important role in cell differentiation and carcinogenesis. Cells that are more stem- and progenitor-like have greatly reduced levels of 5-hmC compared with more differentiated cells. Similarly, tumor cells display less 5-hmC than their normal counterparts. This was not associated with either grade or stage, suggesting that global loss of 5-hmC may be an early event in carcinogenesis. To date, several methods have been developed to profile 5-hmC at the genomic level: most are enrichment-based and utilize antibodies to 5-hmC or its modified forms or make use of bioorthogonal labeling and pull-down of glycosylated 5-hmC. The caveat is that these approaches are low resolution and that they require large amounts of input genomic DNA. Initial efforts for detection of 5-hmC at single-base resolution require several micrograms of DNA, require parallel or subtractive sequencing, and employ successive chemical treatments that can degrade DNA and hinder sequencing. Here we report on a new method that by combining modification-sensitive restriction enzymes with massively parallel (“next-generation”) sequencing approaches, genome-wide 5-hmC can be mapped at single site resolution from low (100 ng) DNA inputs. Importantly, this method can be used for strand-specific localization of 5-hmC as well as direct identification of single nucleotide polymorphisms (SNPs) within the sequencing reads. Data can also be compared directly with single-base resolution DNA methylation data from reduced-representation bisulfite sequencing (RRBS) for simultaneous 5-mC and 5-hmC profiling from the same sample. 5-mC and 5-hmC of human brain DNA using this combined method indicates unique distributions of the 5-hmC modification. This new method should provide a unique tool in enhancing our understanding of the interplay of genetic and epigenetic regulations in carcinogenesis. Citation Format: XueGuang Sun, Adam Petterson, Hunter Chung, Xi Yu Jia, Marc E. Van Eden. A novel method for sequence- and strand-specific, genome-wide 5-hmC profiling. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 4230. doi:10.1158/1538-7445.AM2013-4230
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