Institution
Indiana University
Education•Bloomington, Indiana, United States•
About: Indiana University is a education organization based out in Bloomington, Indiana, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 64480 authors who have published 150058 publications receiving 6392902 citations. The organization is also known as: Indiana University system & indiana.edu.
Topics: Population, Poison control, Health care, Transplantation, Cancer
Papers published on a yearly basis
Papers
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TL;DR: Small subunit rRNA sequence data were generated for 27 strains of cyanobacteria and incorporated into a phylogenetic analysis of 1,377 aligned sequence positions, finding all plastids cluster as a strongly supported monophyletic group arising near the root of the cyanobacterial line of descent.
Abstract: Small subunit rRNA sequence data were generated for 27 strains of cyanobacteria and incorporated into a phylogenetic analysis of 1,377 aligned sequence positions from a diverse sampling of 53 cyanobacteria and 10 photosynthetic plastids. Tree inference was carried out using a maximum likelihood method with correction for site-to-site variation in evolutionary rate. Confidence in the inferred phylogenetic relationships was determined by construction of a majority-rule consensus tree based on alternative topologies not considered to be statistically significantly different from the optimal tree. The results are in agreement with earlier studies in the assignment of individual taxa to specific sequence groups. Several relationships not previously noted among sequence groups are indicated, whereas other relationships previously supported are contradicted. All plastids cluster as a strongly supported monophyletic group arising near the root of the cyanobacterial line of descent.
1,301 citations
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Richard A. Gibbs1, Jeffrey Rogers2, Michael G. Katze3, Roger E. Bumgarner3 +174 more•Institutions (28)
TL;DR: The genome sequence of an Indian-origin Macaca mulatta female is determined and compared with chimpanzees and humans to reveal the structure of ancestral primate genomes and to identify evidence for positive selection and lineage-specific expansions and contractions of gene families.
Abstract: The rhesus macaque (Macaca mulatta) is an abundant primate species that diverged from the ancestors of Homo sapiens about 25 million years ago. Because they are genetically and physiologically similar to humans, rhesus monkeys are the most widely used nonhuman primate in basic and applied biomedical research. We determined the genome sequence of an Indian-origin Macaca mulatta female and compared the data with chimpanzees and humans to reveal the structure of ancestral primate genomes and to identify evidence for positive selection and lineage-specific expansions and contractions of gene families. A comparison of sequences from individual animals was used to investigate their underlying genetic diversity. The complete description of the macaque genome blueprint enhances the utility of this animal model for biomedical research and improves our understanding of the basic biology of the species.
1,297 citations
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Stanford University1, Icahn School of Medicine at Mount Sinai2, Indiana University3, Memorial Sloan Kettering Cancer Center4, Mayo Clinic5, National Institutes of Health6, University of Utah7, Fred Hutchinson Cancer Research Center8, Johns Hopkins University9, NorthShore University HealthSystem10, University of Michigan11, University of North Carolina at Chapel Hill12, University of Turku13, Translational Genomics Research Institute14, Wayne State University15, University of Paris16, University of Melbourne17, Cancer Council Victoria18, University of Ulm19, University of Southern California20, Karolinska Institutet21, Northwestern University22, McGill University23, LSU Health Sciences Center New Orleans24
TL;DR: This work developed REVEL (rare exome variant ensemble learner), an ensemble method for predicting the pathogenicity of missense variants on the basis of individual tools: MutPred, FATHMM, VEST, PolyPhen, SIFT, PROVEAN, MutationAssessor, LRT, GERP, SiPhy, phyloP, and phastCons.
Abstract: The vast majority of coding variants are rare, and assessment of the contribution of rare variants to complex traits is hampered by low statistical power and limited functional data. Improved methods for predicting the pathogenicity of rare coding variants are needed to facilitate the discovery of disease variants from exome sequencing studies. We developed REVEL (rare exome variant ensemble learner), an ensemble method for predicting the pathogenicity of missense variants on the basis of individual tools: MutPred, FATHMM, VEST, PolyPhen, SIFT, PROVEAN, MutationAssessor, MutationTaster, LRT, GERP, SiPhy, phyloP, and phastCons. REVEL was trained with recently discovered pathogenic and rare neutral missense variants, excluding those previously used to train its constituent tools. When applied to two independent test sets, REVEL had the best overall performance (p −12 ) as compared to any individual tool and seven ensemble methods: MetaSVM, MetaLR, KGGSeq, Condel, CADD, DANN, and Eigen. Importantly, REVEL also had the best performance for distinguishing pathogenic from rare neutral variants with allele frequencies
1,295 citations
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TL;DR: While many of the genes induced by eIF2 phosphorylation are shared between different environmental stresses, eIF1 kinases function in conjunction with other stress-response pathways, such as those regulated by mitogen-activated protein kinases, to elicit gene expression programmes that are tailored for the specific stress condition.
Abstract: In response to environmental stresses, a family of protein kinases phosphorylate eIF2 (eukaryotic initiation factor 2) to alleviate cellular injury or alternatively induce apoptosis. Phosphorylation of eIF2 reduces global translation, allowing cells to conserve resources and to initiate a reconfiguration of gene expression to effectively manage stress conditions. Accompanying this general protein synthesis control, eIF2 phosphorylation induces translation of specific mRNAs, such as that encoding the bZIP (basic leucine zipper) transcriptional regulator ATF4 (activating transcription factor 4). ATF4 also enhances the expression of additional transcription factors, ATF3 and CHOP (CCAAT/enhancer-binding protein homologous protein)/GADD153 (growth arrest and DNA-damage-inducible protein), that assist in the regulation of genes involved in metabolism, the redox status of the cells and apoptosis. Reduced translation by eIF2 phosphorylation can also lead to activation of stress-related transcription factors, such as NF-kappaB (nuclear factor kappaB), by lowering the steady-state levels of short-lived regulatory proteins such as IkappaB (inhibitor of NF-kappaB). While many of the genes induced by eIF2 phosphorylation are shared between different environmental stresses, eIF2 kinases function in conjunction with other stress-response pathways, such as those regulated by mitogen-activated protein kinases, to elicit gene expression programmes that are tailored for the specific stress condition. Loss of eIF2 kinase pathways can have important health consequences. Mice devoid of the eIF2 kinase GCN2 [general control non-derepressible-2 or EIF2AK4 (eIF2alpha kinase 4)] show sensitivity to nutritional deficiencies and aberrant eating behaviours, and deletion of PEK [pancreatic eIF2alpha kinase or PERK (RNA-dependent protein kinase-like endoplasmic reticulum kinase) or EIF2AK3] leads to neonatal insulin-dependent diabetes, epiphyseal dysplasia and hepatic and renal complications.
1,291 citations
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TL;DR: In this article, the authors compared three measures, effective spread, realized spread, and price impact based on both Trade and Quote (TAQ) and Rule 605 data, and found that the new effective/realized spread measures win the majority of horseraces, while the Amihud [2002.5] measure does well measuring price impact.
1,287 citations
Authors
Showing all 64884 results
Name | H-index | Papers | Citations |
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Frank B. Hu | 250 | 1675 | 253464 |
Stuart H. Orkin | 186 | 715 | 112182 |
Bruce M. Spiegelman | 179 | 434 | 158009 |
David R. Williams | 178 | 2034 | 138789 |
D. M. Strom | 176 | 3167 | 194314 |
Markus Antonietti | 176 | 1068 | 127235 |
Lei Jiang | 170 | 2244 | 135205 |
Brenda W.J.H. Penninx | 170 | 1139 | 119082 |
Nahum Sonenberg | 167 | 647 | 104053 |
Carl W. Cotman | 165 | 809 | 105323 |
Yang Yang | 164 | 2704 | 144071 |
Jaakko Kaprio | 163 | 1532 | 126320 |
Ralph A. DeFronzo | 160 | 759 | 132993 |
Gavin Davies | 159 | 2036 | 149835 |
Tyler Jacks | 158 | 463 | 115172 |