Linkage disequilibrium between STRPs and SNPs across the human genome

Patterns of linkage disequilibrium (LD) reveal the action of evolutionary processes and provide crucial information for association mapping of disease genes. Although recent studies have described the landscape of LD among single nucleotide polymorphisms (SNPs) from across the human genome, associations involving other classes of molecular variation remain poorly understood. In addition to recombination and population history, mutation rate and process are expected to shape LD. To test this idea, we measured associations between short-tandem-repeat polymorphisms (STRPs), which can mutate rapidly and recurrently, and SNPs in 721 regions across the human genome. We directly compared STRP-SNP LD with SNP-SNP LD from the same genomic regions in the human HapMap populations. The intensity of STRP-SNP LD, measured by the average of D', was reduced, consistent with the action of recurrent mutation. Nevertheless, a higher fraction of STRP-SNP pairs than SNP-SNP pairs showed significant LD, on both short (up to 50 kb) and long (cM) scales. These results reveal the substantial effects of mutational processes on LD at STRPs and provide important measures of the potential of STRPs for association mapping of disease genes.     

Identification and Validation of Human Papillomavirus Encoded microRNAs

We report here identification and validation of the first papillomavirus encoded microRNAs expressed in human cervical lesions and cell lines. We established small RNA libraries from ten human papillomavirus associated cervical lesions including cancer and two human papillomavirus harboring cell lines. These libraries were sequenced using SOLiD 4 technology. We used the sequencing data to predict putative viral microRNAs and discovered nine putative papillomavirus encoded microRNAs. Validation was performed for five candidates, four of which were successfully validated by qPCR from cervical tissue samples and cell lines: two were encoded by HPV 16, one by HPV 38 and one by HPV 68. The expression of HPV 16 microRNAs was further confirmed by in situ hybridization, and colocalization with p16INK4A was established. Prediction of cellular target genes of HPV 16 encoded microRNAs suggests that they may play a role in cell cycle, immune functions, cell adhesion and migration, development, and cancer. Two putative viral target sites for the two validated HPV 16 miRNAs were mapped to the E5 gene, one in the E1 gene, two in the L1 gene and one in the LCR region. This is the first report to show that papillomaviruses encode their own microRNA species. Importantly, microRNAs were found in libraries established from human cervical disease and carcinoma cell lines, and their expression was confirmed in additional tissue samples. To our knowledge, this is also the first paper to use in situ hybridization to show the expression of a viral microRNA in human tissue.     

Computational and transcriptional evidence for microRNAs in the honey bee genome

Background  

Non-coding microRNAs (miRNAs) are key regulators of gene expression in eukaryotes. Insect miRNAs help regulate the levels of proteins involved with development, metabolism, and other life history traits. The recently sequenced honey bee genome provides an opportunity to detect novel miRNAs in both this species and others, and to begin to infer the roles of miRNAs in honey bee development.     

Human CLK2 links cell cycle progression,apoptosis, and telomere length regulation

Mutations in the clk-2 gene of the nematode Caenorhabditis elegans affect organismal features such as development, behavior, reproduction, and aging as well as cellular features such as the cell cycle, apoptosis, the DNA replication checkpoint, and telomere length. clk-2 encodes a novel protein (CLK-2) with a unique homologue in each of the sequenced eukaryotic genomes. We have studied the human homologue of CLK-2 (hCLK2) to determine whether it affects the same set of cellular features as CLK-2. We find that overexpression of hCLK2 decreases cell cycle length and that inhibition of hCLK2 expression arrests the cell cycle reversibly. Overexpression of hCLK2, however, renders the cell hypersensitive to apoptosis triggered by oxidative stress or DNA replication block and gradually increases telomere length. The evolutionary conservation of the pattern of cellular functions affected by CLK-2 suggests that the function of hCLK2 in humans might also affect the same organismal features as in worms, including life span. Surprisingly, we find that hCLK2 is present in all cellular compartments and exists as a membrane-associated as well as a soluble form.     

Mitochondrial genome SNPs analysis of eight barley genotypes displaying hot spot regions,phylogenetic relationships and heteroplasmy

Abstract

Organellar genomes are small, circular entities that provide unique advantages as compared to the nuclear genome. The present study was aimed at evaluating the efficiency of utilizing mitochondrial single nucleotide polymorphisms (SNPs) approach in separating barley cultivars. Sequences generated via next-generation sequencing were further utilized to confirm the incidence of heteroplasmy in barley mitochondrial genome. The analysis involved seven cultivated barley (Hordeum vulgare subsp. vulgare) (VG) and one wild (H. vulgare subsp. spontaneum) (SP) genotypes. A total of 73 million paired-end reads per mitochondrial genomes across the eight barley genotypes were generated using Illumina HiSeq 2000 platform. Sequences of each genotype were separately aligned to the published barley mitochondrial reference genome, thus SNPs were detected. The overall results indicated the efficiency of using mitochondrial SNPs as a molecular marker in distinguishing among barley genotypes. Unique SNPs were determined in six out of the eight genotypes, where Giza131 and Giza129 had no specific mitochondrial SNPs, while Giza130 showed the largest number of unique mitochondrial SNPs. The phylogenetic tree indicated the close relationship between Giza129 and Giza130. Interestingly, SP was not clearly discriminated among genotypes.     

Human evolution and the mitochondrial genome

The use of mitochondrial DNA (mtDNA) continues to dominate studies of human genetic variation and evolution. Recent work has re-affirmed the strict maternal inheritance of mtDNA, yielded new insights into the extent and nature of intra-individual variation, supported a recent African origin of human mtDNA, and amply demonstrated the utility of mtDNA in tracing population history and in analyses of ancient remains.     

The influence of neighboring-nucleotide composition on single nucleotide polymorphisms (SNPs) in the mouse genome and its comparison with human SNPs

We analyzed the neighboring-nucleotide composition of 433,192 biallelic substitutions, representing the largest public collection of SNPs across the mouse genome. Large neighboring-nucleotide biases relative to the genome- or chromosome-specific average were observed at the immediate adjacent sites and small biases extended farther from the substitution site. For all substitutions, the biases for A, C, G, and T were 0.21, 2.63, 0.71, and -3.55%, respectively, on the immediate adjacent 5' site and -3.67, 0.75, 2.69, and 0.23%, respectively, on the immediate adjacent 3' side. Further examination of the six categories of substitution revealed that the neighboring-nucleotide patterns for transitions were strongly influenced by the hypermutability of dinucleotide CpG and the neighboring effects on transversions were complex. Probability of a transversion increased with increasing A + T content of the two immediate adjacent sites, which was similarly observed in the human and Arabidopsis genomes. Overall, the bias patterns for the neighboring nucleotides in the mouse and human genomes were essentially the same; however, the extent of the biases was notably less in mice. Our results provide the first comprehensive view of the neighboring-nucleotide effects in the mouse genome and are important for understanding the mutational mechanisms and sequence evolution in the mammalian genomes.     

A new insight into male genome reprogramming by histone variants and histone code

The very nature of the packed male genome, essentially containing non-histone proteins, suggests that most of the epigenetic marks which have been defined in somatic cells are not valid in mature male gametes and that new specific rules prevail for the transmission of epigenetic information in male germ cells. Recent investigations are now uncovering a male-specific genome reprogramming mechanism, which likely cooperates with and extends beyond DNA methylation, specifying different regions of the genome and which could encode a new type of epigenetic information transmitted to the egg. Here we highlight the general traits of this unconventional male-specific epigenetic code, which largely relies on the use of histone variants and specific histone modifications.     

Human genome project: pharmacogenomics and drug development

Now that all 30,000 or so genes that make up the human genome have been deciphered, pharmaceutical industries are emerging to capitalize the custom based drug treatment. Understanding human genetic variation promises to have a great impact on our ability to uncover the cause of individual variation in response to therapeutics. The study of association between genetics and drug response is called pharmacogenomics. The potential implication of genomics and pharmacogenomics in clinical research and clinical medicine is that disease could be treated according to the interindividual differences in drug disposition and effects, thereby enhancing the drug discovery and providing a stronger scientific basis of each patient's genetic constitution. Sequence information derived from the genomes of many individuals is leading to the rapid discovery of single nucleotide polymorphisms or SNPs. Detection of these human polymorphisms will fuel the discipline of pharmacogenomics by developing more personalized drug therapies. A greater understanding of the way in which individuals with a particular genotype respond to a drug allows manufacturers to identify population subgroups that will benefit most from a particular drug. The increasing emphasis on pharmacogenomics is likely to raise ethical and legal questions regarding, among other things, the design of research studies, the construction of clinical trials and the pricing of drugs.     

Protein degradation,signaling, microRNAs and cancer

A report on the biannual Swiss Institute for Experimental Cancer Research (ISREC) Symposium on the Cell and Molecular Biology of Cancer, Lausanne, Switzerland, 19-22 January 2005.     

Proteomics, networks and connectivity indices

Describing the connectivity of chemical and/or biological systems using networks is a straight gate for the introduction of mathematical tools in proteomics. Networks, in some cases even very large ones, are simple objects that are composed at least by nodes and edges. The nodes represent the parts of the system and the edges geometric and/or functional relationships between parts. In proteomics, amino acids, proteins, electrophoresis spots, polypeptidic fragments, or more complex objects can play the role of nodes. All of these networks can be numerically described using the so-called Connectivity Indices (CIs). The transformation of graphs (a picture) into CIs (numbers) facilitates the manipulation of information and the search for structure-function relationships in Proteomics. In this work, we review and comment on the challenges and new trends in the definition and applications of CIs in Proteomics. Emphasis is placed on 1-D-CIs for DNA and protein sequences, 2-D-CIs for RNA secondary structures, 3-D-topographic indices (TPGIs) for protein function annotation without alignment, 2-D-CIs and 3-D-TPGIs for the study of drug-protein or drug-RNA quantitative structure-binding relationships, and pseudo 3-D-CIs for protein surface molecular recognition. We also focus on CIs to describe Protein Interaction Networks or RNA co-expression networks. 2-D-CIs for patient blood proteome 2-DE maps or mass spectra are also covered.