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Institution

University of Iowa

EducationIowa City, Iowa, United States
About: University of Iowa is a education organization based out in Iowa City, Iowa, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 49229 authors who have published 109171 publications receiving 5021465 citations. The organization is also known as: UI & The University of Iowa.


Papers
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Journal ArticleDOI
TL;DR: The likelihood that sustained activation of descending modulatory pathways that facilitate pain transmission could underlie some states of chronic pain is examined.

935 citations

BookDOI
Yinyu Ye1
TL;DR: This paper presents a meta-analyses of Linear Programming Algorithms and its applications to Convex Optimization, focusing on the areas of linear programming and nonconvex optimization.
Abstract: Geometry of Convex Inequalities. Computation of Analytic Center. Linear Programming Algorithms. Worst-Case Analysis. Average-Case Analysis. Asymptotic Analysis. Convex Optimization. Nonconvex Optimization. Implementation Issues. Bibliography. Index.

933 citations

Journal ArticleDOI
TL;DR: Some synonymous mutations in the human DRD2 have functional effects and suggest a novel genetic mechanism, calling into question some assumptions made about synonymous variation in molecular population genetics and gene-mapping studies of diseases with complex inheritance, and indicate that synonymous variation can have effects of potential pathophysiological and pharmacogenetic importance.
Abstract: Although changes in nucleotide sequence affecting the composition and the structure of proteins are well known, functional changes resulting from nucleotide substitutions cannot always be inferred from simple analysis of DNA sequence. Because a strong synonymous codon usage bias in the human DRD2 gene, suggesting selection on synonymous positions, was revealed by the relative independence of the G+C content of the third codon positions from the isochoric G+C frequencies, we chose to investigate functional effects of the six known naturally occurring synonymous changes (C132T, G423A, T765C, C939T, C957T, and G1101A) in the human DRD2. We report here that some synonymous mutations in the human DRD2 have functional effects and suggest a novel genetic mechanism. 957T, rather than being 'silent', altered the predicted mRNA folding, led to a decrease in mRNA stability and translation, and dramatically changed dopamine-induced up-regulation of DRD2 expression. 1101A did not show an effect by itself but annulled the above effects of 957T in the compound clone 957T/1101A, demonstrating that combinations of synonymous mutations can have functional consequences drastically different from those of each isolated mutation. C957T was found to be in linkage disequilibrium in a European-American population with the -141C Ins/Del and TaqI 'A' variants, which have been reported to be associated with schizophrenia and alcoholism, respectively. These results call into question some assumptions made about synonymous variation in molecular population genetics and gene-mapping studies of diseases with complex inheritance, and indicate that synonymous variation can have effects of potential pathophysiological and pharmacogenetic importance.

932 citations

01 Jan 2010
TL;DR: This paper introduces Version 2 of the SMT-LIB Standard, a major upgrade of the previous Version 1.2 which, in addition to simplifying and extending the languages of that version, includes a new command language for interfacing with SMT solvers.
Abstract: The SMT-LIB initiative is an international effort, supported by research groups worldwide, with the two-fold goal of producing an extensive on-line library of benchmarks and promoting the adoption of common languages and interfaces for SMT solvers. This paper introduces Version 2 of the SMT-LIB Standard. This is a major upgrade of the previous Version 1.2 which, in addition to simplifying and extending the languages of that version, includes a new command language for interfacing with SMT solvers.

932 citations

Journal ArticleDOI
TL;DR: It is shown that BCL2 mutations commonly occur in patients with BCL 2/IgH rearrangements as a result of somatic hypermutation normally occurring at the IgH locus, and an algorithm designed to identify likely functionally relevant but infrequent mutations is identified as likely drivers of DLBCL pathogenesis in some patients.
Abstract: To gain insight into the genomic basis of diffuse large B-cell lymphoma (DLBCL), we performed massively parallel whole-exome sequencing of 55 primary tumor samples from patients with DLBCL and matched normal tissue. We identified recurrent mutations in genes that are well known to be functionally relevant in DLBCL, including MYD88, CARD11, EZH2, and CREBBP. We also identified somatic mutations in genes for which a functional role in DLBCL has not been previously suspected. These genes include MEF2B, MLL2, BTG1, GNA13, ACTB, P2RY8, PCLO, and TNFRSF14. Further, we show that BCL2 mutations commonly occur in patients with BCL2/IgH rearrangements as a result of somatic hypermutation normally occurring at the IgH locus. The BCL2 point mutations are primarily synonymous, and likely caused by activation-induced cytidine deaminase–mediated somatic hypermutation, as shown by comprehensive analysis of enrichment of mutations in WRCY target motifs. Those nonsynonymous mutations that are observed tend to be found outside of the functionally important BH domains of the protein, suggesting that strong negative selection against BCL2 loss-of-function mutations is at play. Last, by using an algorithm designed to identify likely functionally relevant but infrequent mutations, we identify KRAS, BRAF, and NOTCH1 as likely drivers of DLBCL pathogenesis in some patients. Our data provide an unbiased view of the landscape of mutations in DLBCL, and this in turn may point toward new therapeutic strategies for the disease.

931 citations


Authors

Showing all 49661 results

NameH-indexPapersCitations
Stephen V. Faraone1881427140298
Jie Zhang1784857221720
D. M. Strom1763167194314
Bradley T. Hyman169765136098
John H. Seinfeld165921114911
David Jonathan Hofman1591407140442
Stephen J. O'Brien153106293025
John T. Cacioppo147477110223
Mark Raymond Adams1471187135038
E. L. Barberio1431605115709
Andrew Ivanov142181297390
Stephen J. Lippard141120189269
Russell Richard Betts140132395678
Barry Blumenfeld1401909105694
Marcus Hohlmann140135694739
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023154
2022727
20214,129
20203,902
20193,763
20183,659