DNA sequence information underpins genetic research, enabling discoveries of important biological or medical benefit. Sequencing projects have traditionally employed long (400–800 bp) reads, but the existence of reference sequences for the human and many other genomes makes it possible to develop new, fast approaches to re-sequencing, whereby shorter reads are compared to a reference to identify intra-species genetic variation. We report an approach that generates several billion bases of accurate nucleotide sequence per experiment at low cost. Single molecules of DNA are attached to a flat surface, amplified in situ and used as templates for synthetic sequencing with fluorescent reversible terminator deoxyribonucleotides. Images of the surface are analysed to generate high quality sequence. We demonstrate application of this approach to human genome sequencing on flow-sorted X chromosomes and then scale the approach to determine the genome sequence of a male Yoruba from Ibadan, Nigeria. We build an accurate consensus sequence from >30x average depth of paired 35-base reads. We characterise four million SNPs and four hundred thousand structural variants, many of which are previously unknown. Our approach is effective for accurate, rapid and economical whole genome re-sequencing and many other biomedical applications.

G-quadruplexes (G4s) are nucleic acid secondary structures that form within guanine-rich DNA or RNA sequences. G4 formation can affect chromatin architecture and gene regulation and has been associated with genomic instability, genetic diseases and cancer progression. Here we present a high-resolution sequencing-based method to detect G4s in the human genome. We identified 716,310 distinct G4 structures, 451,646 of which were not predicted by computational methods. These included previously uncharacterized noncanonical long loop and bulged structures. We observed a high G4 density in functional regions, such as 5' untranslated regions and splicing sites, as well as in genes previously not predicted to contain these structures (such as BRCA2). G4 formation was significantly associated with oncogenes, tumor suppressors and somatic copy number alterations related to cancer development. The G4s identified in this study may therefore represent promising targets for cancer intervention.

Genomic maps of DNA G-quadruplexes (G4s) can help elucidate the roles that these secondary structures play in various organisms. Herein, we employ an improved version of a G-quadruplex sequencing method (G4-seq) to generate whole genome G4 maps for 12 species that include widely studied model organisms and also pathogens of clinical relevance. We identify G4 structures that form under physiological K + conditions and also G4s that are stabilized by the G4-targeting small molecule pyridostatin (PDS). We discuss the various structural features of the experimentally observed G-quadruplexes (OQs), highlighting differences in their prevalence and enrichment across species. Our study describes diversity in sequence composition and genomic location for the OQs in the different species and reveals that the enrichment of OQs in gene promoters is particular to mammals such as mouse and human , among the species studied. The multi-species maps have been made publicly available as a resource to the research community. The maps can serve as blueprints for biological experiments in those model organisms, where G4 structures may play a role.

We detected an interaction of the N-terminus of huntingtin (htt171) with the C-terminal region of the nuclear receptor co-repressor (N-CoR) using the yeast two-hybrid system. This interaction was repeat length dependent and specific to htt171; the co-repressor did not interact with the repeat carrying a section of atrophin 1 nor with the androgen receptor or polyglutamine alone. The interaction was confirmed using His-tagged Escherichia coli -expressed C-terminal human and rat co-repressor protein which pulled full-length huntingtin out of homogenized rat brain and in pull-down assays. The N-CoR represses transcription from sequence-specific ligand-activated receptors such as the retinoid X-thyroid hormone receptor dimers and other nuclear receptors including Mad-Max receptor dimers. The mechanism of this repression appears to be through the formation of a complex of repressor proteins including the N-CoR, mSin3 and histone deacetylases. We have used N-CoR and mSin3A antibodies in immunohistochemical studies and find that in Huntington's disease (HD) cortex and caudate, the cellular localization of these proteins is exclusively cytoplasmic whilst in control brain they are localized in the nucleus as well as the cytoplasm; mSin3A immunoreactivity also occurred in a subset of huntingtin positive intranuclear inclusions. The relocalization of repressor proteins in HD brain may alter transcription and be involved in the pathology of the disease.

Understanding the way in which single nucleotide polymorphisms and mutations in the human genome result in individual susceptibility to disease is a major goal in the postgenomic era. Such knowledge should accelerate the development of personalised medicine in which drug treatment can specifically match an individual's genotype. High-throughput DNA sequencing is generating the initial information required, but new technologies are required that can rapidly characterise the phenotypic effects of the identified polymorphisms. For example, many thousands of allelic variants of the p53 gene have been described and are responsible for more than 50% of cancers, however few of the protein products have been functionally characterised. Here we have quantified in parallel the effects of mutations and polymorphisms on the DNA-binding function of the p53 oncoprotein using a protein microarray, allowing their subclassification according to functional effect. Protein-protein interactions between p53 variants and (i) a regulatory oncoprotein, (ii) a regulatory kinase resulting in on-chip phosphorylation, are also described, suggesting the more general utility of this high-throughput assay format.