Richard K. Wilson

Bio: Richard K. Wilson is an academic researcher from Nationwide Children's Hospital. The author has contributed to research in topics: Genome & Gene. The author has an hindex of 173, co-authored 463 publications receiving 260000 citations. Previous affiliations of Richard K. Wilson include University of Washington & St. Jude Children's Research Hospital.

First and final report of a phase II study of the poly(ADP-ribose) polymerase (PARP) inhibitor, AG014699, in combination with temozolomide (TMZ) in patients with metastatic malignant melanoma (MM)

Abstract: 8013 Background: Inhibition of PARP and thus Base Excision Repair has been shown to potentiate the cytotoxicity of DNA damaging agents preclinically. A Phase I study of AG014699 + TMZ reported at ASCO 2005 showed that a full dose of TMZ could be given in the presence of profound PARP inhibition. We report the results of a Phase II study of AG014699 12 mg/m2 and TMZ 200 mg/m2 5x daily q 4 weekly in patients with advanced MM. This Phase II study commenced in March 2005 and completed recruitment in December 2005. Methods: Patients with measurable MM who were chemotherapy naive, performance status ≤ 2, and had standard blood indices for early trials were recruited. Patients with ocular melanoma or brain metastases were excluded. Treatment was given until progression, with repeat imaging every 2 cycles. A two stage phase II design was used, with the hypothesis to be tested that the response rate to TMZ would be increased to 25%. α and β error rates were set at 0.10. 27 patients were recruited into the first st...

Ancient hybridization and strong adaptation to viruses across African vervet monkey populations.

Abstract: Vervet monkeys are among the most widely distributed nonhuman primates, show considerable phenotypic diversity, and have long been an important biomedical model for a variety of human diseases and in vaccine research. Using whole-genome sequencing data from 163 vervets sampled from across Africa and the Caribbean, we find high diversity within and between taxa and clear evidence that taxonomic divergence was reticulate rather than following a simple branching pattern. A scan for diversifying selection across taxa identifies strong and highly polygenic selection signals affecting viral processes. Furthermore, selection scores are elevated in genes whose human orthologs interact with HIV and in genes that show a response to experimental simian immunodeficiency virus (SIV) infection in vervet monkeys but not in rhesus macaques, suggesting that part of the signal reflects taxon-specific adaptation to SIV.

After the Duplication: Gene Loss and Adaptation in Saccharomyces Genomes

Abstract: The ancient duplication of the Saccharomyces cerevisiae genome and subsequent massive loss of duplicated genes is apparent when it is compared to the genomes of related species that diverged before the duplication event. To learn more about the evolutionary effects of the duplication event, we compared the S. cerevisiae genome to other Saccharomyces genomes. We demonstrate that the whole genome duplication occurred before S. castellii diverged from S. cerevisiae. In addition to more accurately dating the duplication event, this finding allowed us to study the effects of the duplication on two separate lineages. Analyses of the duplication regions of the genomes indicate that most of the duplicated genes (∼85%) were lost before the speciation. Only a small amount of paralogous gene loss (4–6%) occurred after speciation. On the other hand, S. castellii appears to have lost several hundred genes that were not retained as duplicated paralogs. These losses could be related to genomic rearrangements that reduced the number of chromosomes from 16 to 9. In addition to S. castellii, other Saccharomyces sensu lato species likely diverged from S. cerevisiae after the duplication. A thorough analysis of these species will likely reveal other important outcomes of the whole genome duplication.

A lover and a fighter: the genome sequence of an entomopathogenic nematode Heterorhabditis bacteriophora.

Abstract: Heterorhabditis bacteriophora are entomopathogenic nematodes that have evolved a mutualism with Photorhabdus luminescens bacteria to function as highly virulent insect pathogens. The nematode provides a safe harbor for intestinal symbionts in soil and delivers the symbiotic bacteria into the insect blood. The symbiont provides virulence and toxins, metabolites essential for nematode reproduction, and antibiotic preservation of the insect cadaver. Approximately half of the 21,250 putative protein coding genes identified in the 77 Mbp high quality draft H. bacteriophora genome sequence were novel proteins of unknown function lacking homologs in Caenorhabditis elegans or any other sequenced organisms. Similarly, 317 of the 603 predicted secreted proteins are novel with unknown function in addition to 19 putative peptidases, 9 peptidase inhibitors and 7 C-type lectins that may function in interactions with insect hosts or bacterial symbionts. The 134 proteins contained mariner transposase domains, of which there are none in C. elegans, suggesting an invasion and expansion of mariner transposons in H. bacteriophora. Fewer Kyoto Encyclopedia of Genes and Genomes Orthologies in almost all metabolic categories were detected in the genome compared with 9 other sequenced nematode genomes, which may reflect dependence on the symbiont or insect host for these functions. The H. bacteriophora genome sequence will greatly facilitate genetics, genomics and evolutionary studies to gain fundamental knowledge of nematode parasitism and mutualism. It also elevates the utility of H. bacteriophora as a bridge species between vertebrate parasitic nematodes and the C. elegans model.

A large and complex structural polymorphism at 16p12.1 underlies microdeletion disease risk

Abstract: There is a complex relationship between the evolution of segmental duplications and rearrangements associated with human disease. We performed a detailed analysis of one region on chromosome 16p12.1 associated with neurocognitive disease and identified one of the largest structural inconsistencies in the human reference assembly. Various genomic analyses show that all examined humans are homozygously inverted relative to the reference genome for a 1.1-Mb region on 16p12.1. We determined that this assembly discrepancy stems from two common structural configurations with worldwide frequencies of 17.6% (S1) and 82.4% (S2). This polymorphism arose from the rapid integration of segmental duplications, precipitating two local inversions within the human lineage over the last 10 million years. The two human haplotypes differ by 333 kb of additional duplicated sequence present in S2 but not in S1. Notably, we show that the S2 configuration harbors directly oriented duplications, specifically predisposing this chromosome to disease-associated rearrangement.

Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

Abstract: The BLAST programs are widely used tools for searching protein and DNA databases for sequence similarities. For protein comparisons, a variety of definitional, algorithmic and statistical refinements described here permits the execution time of the BLAST programs to be decreased substantially while enhancing their sensitivity to weak similarities. A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original. In addition, a method is introduced for automatically combining statistically significant alignments produced by BLAST into a position-specific score matrix, and searching the database using this matrix. The resulting Position-Specific Iterated BLAST (PSIBLAST) program runs at approximately the same speed per iteration as gapped BLAST, but in many cases is much more sensitive to weak but biologically relevant sequence similarities. PSI-BLAST is used to uncover several new and interesting members of the BRCT superfamily.

Initial sequencing and analysis of the human genome.

Abstract: The human genome holds an extraordinary trove of information about human development, physiology, medicine and evolution. Here we report the results of an international collaboration to produce and make freely available a draft sequence of the human genome. We also present an initial analysis of the data, describing some of the insights that can be gleaned from the sequence.

The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data

Abstract: Next-generation DNA sequencing (NGS) projects, such as the 1000 Genomes Project, are already revolutionizing our understanding of genetic variation among individuals. However, the massive data sets generated by NGS—the 1000 Genome pilot alone includes nearly five terabases—make writing feature-rich, efficient, and robust analysis tools difficult for even computationally sophisticated individuals. Indeed, many professionals are limited in the scope and the ease with which they can answer scientific questions by the complexity of accessing and manipulating the data produced by these machines. Here, we discuss our Genome Analysis Toolkit (GATK), a structured programming framework designed to ease the development of efficient and robust analysis tools for next-generation DNA sequencers using the functional programming philosophy of MapReduce. The GATK provides a small but rich set of data access patterns that encompass the majority of analysis tool needs. Separating specific analysis calculations from common data management infrastructure enables us to optimize the GATK framework for correctness, stability, and CPU and memory efficiency and to enable distributed and shared memory parallelization. We highlight the capabilities of the GATK by describing the implementation and application of robust, scale-tolerant tools like coverage calculators and single nucleotide polymorphism (SNP) calling. We conclude that the GATK programming framework enables developers and analysts to quickly and easily write efficient and robust NGS tools, many of which have already been incorporated into large-scale sequencing projects like the 1000 Genomes Project and The Cancer Genome Atlas.

Ultrafast and memory-efficient alignment of short DNA sequences to the human genome

Abstract: Bowtie is an ultrafast, memory-efficient alignment program for aligning short DNA sequence reads to large genomes. For the human genome, Burrows-Wheeler indexing allows Bowtie to align more than 25 million reads per CPU hour with a memory footprint of approximately 1.3 gigabytes. Bowtie extends previous Burrows-Wheeler techniques with a novel quality-aware backtracking algorithm that permits mismatches. Multiple processor cores can be used simultaneously to achieve even greater alignment speeds. Bowtie is open source http://bowtie.cbcb.umd.edu.

疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1（PfPMP1）与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员，通过启动转录不同的var基因变异体为抗原变异提供了分子基础。