Institution
Tulane University
Education•New Orleans, Louisiana, United States•
About: Tulane University is a education organization based out in New Orleans, Louisiana, United States. It is known for research contribution in the topics: Population & Blood pressure. The organization has 24478 authors who have published 47205 publications receiving 1944993 citations. The organization is also known as: University of Louisiana.
Topics: Population, Blood pressure, Poison control, Receptor, Angiotensin II
Papers published on a yearly basis
Papers
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University of Lyon1, Independent Bank2, Wesleyan University3, Tulane University4, Indian Institute of Technology Delhi5, Academy of Sciences of the Czech Republic6, University of Nottingham7, École Polytechnique Fédérale de Lausanne8, Icahn School of Medicine at Mount Sinai9, University of Barcelona10
TL;DR: The results show that nearest-neighbor effects on base pair steps are very significant, implying that dinucleotide models are insufficient for predicting sequence-dependent behavior, and suggest that such effects should be analyzed before attempting to predict the sequence- dependent behavior of DNA.
Abstract: It is well recognized that base sequence exerts a significant influence on the properties of DNA and plays a significant role in protein– DNA interactions vital for cellular processes. Understanding and predicting base sequence effects requires an extensive structural and dynamic dataset which is currently unavailable from experiment. A consortium of laboratories was consequently formed to obtain this information using molecular simulations. This article describes results providing information not only on all 10 unique base pair steps, but also on all possible nearest-neighbor effects on these steps. These results are derived from simulations of 50–100ns on 39 different DNA oligomers in explicit solvent and using a physiological salt concentration. We demonstrate that the simulations are converged in terms of helical and backbone parameters. The results show that nearest-neighbor effects on base pair steps are very significant, implying that dinucleotide models are insufficient for predicting sequence-dependent behavior. Flanking base sequences can notably lead to base pair step parameters in dynamic equilibrium between two conformational sub-states. Although this study only provides limited data on next-nearestneighbor effects, we suggest that such effects should be analyzed before attempting to predict the sequence-dependent behavior of DNA.
308 citations
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308 citations
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TL;DR: The analysis indicated that the absolute benefits of antihypertensive therapy depended on BP as well as the presence of additional cardiovascular disease risk factors and the presence or absence of preexisting clinical cardiovascular disease or target organ damage.
Abstract: —Blood pressure (BP) levels alone have been traditionally used to make treatment decisions in patients with hypertension. The sixth report of the Joint National Committee on Prevention, Det...
307 citations
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Brigham Young University1, Lancaster University2, Colorado State University3, Landcare Research4, Tulane University5, University of Siena6, University of Delaware7, Sapienza University of Rome8, University of Maine9, Natural Environment Research Council10, University of Miami11, University of Waikato12, University of Newcastle13, Imperial College London14, Australian Antarctic Division15, Massey University16
TL;DR: The soil ecosystems of Victoria Land (VL) Antarctica should play a major role in exploring the relationship between biodiversity and ecosystem functioning, and in monitoring the effects of environmental change on soil processes in real time and space.
Abstract: Understanding the relationship between soil biodiversity and ecosystem functioning is critical to predicting and monitoring the effects of ecosystem changes on important soil processes. However, most of Earth's soils are too biologically diverse to identify each species present and determine their functional role in food webs. The soil ecosystems of Victoria Land (VL) Antarctica are functionally and biotically simple, and serve as in situ models for determining the relationship between biodiversity and ecosystem processes. For a few VL taxa (microarthropods, nematodes, algae, mosses and lichens), species diversity has been intensively assessed in highly localized habitats, but little is known of how community assemblages vary across broader spatial scales, or across latitudinal and environmental gradients. The composition of tardigrade, rotifer, protist, fungal and prokaryote communities is emerging. The latter groups are the least studied, but potentially the most diverse. Endemism is highest for microarthropods and nematodes, less so for tardigrades and rotifers, and apparently low for mosses, lichens, protists, fungi and prokaryotes. Much of what is known about VL diversity and distribution occurs in an evolutionary and ecological vacuum; links between taxa and functional role in ecosystems are poorly known and future studies must utilize phylogenetic information to infer patterns of community assembly, speciation, extinction, population processes and biogeography. However, a comprehensive compilation of all the species that participate in soil ecosystem processes, and their distribution across regional and landscape scales is immediately achievable in VL with the resources, tools, and expertise currently available. We suggest that the soil ecosystems of VL should play a major role in exploring the relationship between biodiversity and ecosystem functioning, and in monitoring the effects of environmental change on soil processes in real time and space.
307 citations
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TL;DR: It is found that addition of BMP-6 increased the weight of the pellets about 10-fold and they stained more extensively for proteoglycans, and RS cells retained more of their chondrogenic potential as the cells were passaged.
307 citations
Authors
Showing all 24722 results
Name | H-index | Papers | Citations |
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Walter C. Willett | 334 | 2399 | 413322 |
JoAnn E. Manson | 270 | 1819 | 258509 |
Frank B. Hu | 250 | 1675 | 253464 |
Eric B. Rimm | 196 | 988 | 147119 |
Krzysztof Matyjaszewski | 169 | 1431 | 128585 |
Nicholas J. White | 161 | 1352 | 104539 |
Tien Yin Wong | 160 | 1880 | 131830 |
Tomas Hökfelt | 158 | 1033 | 95979 |
Thomas E. Starzl | 150 | 1625 | 91704 |
Geoffrey Burnstock | 141 | 1488 | 99525 |
Joseph Sodroski | 138 | 542 | 77070 |
Glenn M. Chertow | 128 | 764 | 82401 |
Darwin J. Prockop | 128 | 576 | 87066 |
Kenneth J. Pienta | 127 | 671 | 64531 |
Charles Taylor | 126 | 741 | 77626 |