Institution
University of Kentucky
Education•Lexington, Kentucky, United States•
About: University of Kentucky is a education organization based out in Lexington, Kentucky, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 43933 authors who have published 92195 publications receiving 3256087 citations. The organization is also known as: UK.
Topics: Population, Poison control, Health care, Gene, Cancer
Papers published on a yearly basis
Papers
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Wayne State University1, National Institutes of Health2, Michigan State University3, Government Medical College, Thiruvananthapuram4, Thomas Jefferson University5, Cooper University Hospital6, B. J. Medical College, Pune7, Albert Einstein College of Medicine8, Baptist Memorial Hospital-Memphis9, University of Kentucky10, Donetsk National Medical University11, Winthrop-University Hospital12, Eastern Virginia Medical School13, University of Pennsylvania14, United States Public Health Service15, Boston University16, Sage Group17
TL;DR: The efficacy and safety of using micronized vaginal progesterone gel to reduce the risk of preterm birth and associated neonatal complications in women with a sonographic short cervix is determined.
Abstract: Objectives Women with a sonographic short cervix in the mid-trimester are at increased risk for preterm delivery. This study was undertaken to determine the efficacy and safety of using micronized vaginal progesterone gel to reduce the risk of preterm birth and associated neonatal complications in women with a sonographic short cervix. Methods This was a multicenter, randomized, doubleblind, placebo-controlled trial that enrolled asymptomatic
777 citations
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University of Pittsburgh1, University of California, Irvine2, University of California, Berkeley3, University of California, Santa Cruz4, Alfred P. Sloan Foundation5, University of California, San Diego6, Harvard University7, Max Planck Society8, Lawrence Berkeley National Laboratory9, University of Arizona10, University of Kentucky11, Goddard Space Flight Center12, California Institute of Technology13, Space Telescope Science Institute14, University of Southern California15, University of Washington16, Academia Sinica17, Sonoma State University18, Liverpool John Moores University19
TL;DR: The DEEP2 Galaxy Redshift Survey (DEEP2) as discussed by the authors is the largest high-precision redshift survey of galaxies at z ~ 1 completed to date, covering an area of 2.8 deg^2 divided into four separate fields observed to a limiting apparent magnitude of R_(AB) = 24.1.
Abstract: We describe the design and data analysis of the DEEP2 Galaxy Redshift Survey, the densest and largest high-precision redshift survey of galaxies at z ~ 1 completed to date. The survey was designed to conduct a comprehensive census of massive galaxies, their properties, environments, and large-scale structure down to absolute magnitude M_B = −20 at z ~ 1 via ~90 nights of observation on the Keck telescope. The survey covers an area of 2.8 deg^2 divided into four separate fields observed to a limiting apparent magnitude of R_(AB) = 24.1. Objects with z ≾0.7 are readily identifiable using BRI photometry and rejected in three of the four DEEP2 fields, allowing galaxies with z > 0.7 to be targeted ~2.5 times more efficiently than in a purely magnitude-limited sample. Approximately 60% of eligible targets are chosen for spectroscopy, yielding nearly 53,000 spectra and more than 38,000 reliable redshift measurements. Most of the targets that fail to yield secure redshifts are blue objects that lie beyond z ~ 1.45, where the [O ii] 3727 A doublet lies in the infrared. The DEIMOS 1200 line mm^(−1) grating used for the survey delivers high spectral resolution (R ~ 6000), accurate and secure redshifts, and unique internal kinematic information. Extensive ancillary data are available in the DEEP2 fields, particularly in the Extended Groth Strip, which has evolved into one of the richest multiwavelength regions on the sky. This paper is intended as a handbook for users of the DEEP2 Data Release 4, which includes all DEEP2 spectra and redshifts, as well as for the DEEP2 DEIMOS data reduction pipelines. Extensive details are provided on object selection, mask design, biases in target selection and redshift measurements, the spec2d two-dimensional data-reduction pipeline, the spec1d automated redshift pipeline, and the zspec visual redshift verification process, along with examples of instrumental signatures or other artifacts that in some cases remain after data reduction. Redshift errors and catastrophic failure rates are assessed through more than 2000 objects with duplicate observations. Sky subtraction is essentially photon-limited even under bright OH sky lines; we describe the strategies that permitted this, based on high image stability, accurate wavelength solutions, and powerful B-spline modeling methods. We also investigate the impact of targets that appear to be single objects in ground-based targeting imaging but prove to be composite in Hubble Space Telescope data; they constitute several percent of targets at z ~ 1, approaching ~5%–10% at z > 1.5. Summary data are given that demonstrate the superiority of DEEP2 over other deep high-precision redshift surveys at z ~ 1 in terms of redshift accuracy, sample number density, and amount of spectral information. We also provide an overview of the scientific highlights of the DEEP2 survey thus far.
776 citations
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Monash University1, Kyoto University2, Kindai University3, United States Department of Energy4, Kobe University5, National Institute of Genetics6, Austrian Academy of Sciences7, Nara Institute of Science and Technology8, University of Osnabrück9, Universidad Veracruzana10, University of Cambridge11, CINVESTAV12, University of Oxford13, University of Tennessee14, Plant & Food Research15, Uppsala University16, Institut de recherche pour le développement17, University of Zurich18, University of Tokyo19, Nagoya University20, Okayama University21, National Institutes of Natural Sciences, Japan22, Tohoku University23, University of Kentucky24, Gregor Mendel Institute25, Tokyo University of Agriculture26, National Taiwan University27, Cold Spring Harbor Laboratory28, Autonomous University of Madrid29, University of Arizona30, Max Planck Society31, Tokyo Metropolitan University32, University of Minnesota33, Kumamoto University34, University of Ulm35, Saitama University36
TL;DR: Compared with other sequenced land plants, M. polymorpha exhibits low genetic redundancy in most regulatory pathways, with this portion of its genome resembling that predicted for the ancestral land plant.
774 citations
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TL;DR: Together, the coordinated application of miRNA profiling, Affymetrix microarrays, new bioinformatics predictions, in situ hybridization, and biochemical validation indicate that miR-107 may be involved in accelerated disease progression through regulation of BACE1.
Abstract: MicroRNAs (miRNAs) are small regulatory RNAs that participate in posttranscriptional gene regulation in a sequence-specific manner. However, little is understood about the role(s) of miRNAs in Alzheimer's disease (AD). We used miRNA expression microarrays on RNA extracted from human brain tissue from the University of Kentucky Alzheimer's Disease Center Brain Bank with near-optimal clinicopathological correlation. Cases were separated into four groups: elderly nondemented with negligible AD-type pathology, nondemented with incipient AD pathology, mild cognitive impairment (MCI) with moderate AD pathology, and AD. Among the AD-related miRNA expression changes, miR-107 was exceptional because miR-107 levels decreased significantly even in patients with the earliest stages of pathology. In situ hybridization with cross-comparison to neuropathology demonstrated that particular cerebral cortical laminas involved by AD pathology exhibit diminished neuronal miR-107 expression. Computational analysis predicted that the 3′-untranslated region (UTR) of β-site amyloid precursor protein-cleaving enzyme 1 (BACE1) mRNA is targeted multiply by miR-107. From the same RNA material analyzed on miRNA microarrays, mRNA expression profiling was performed using Affymetrix Exon Array microarrays on nondemented, MCI, and AD patients. BACE1 mRNA levels tended to increase as miR-107 levels decreased in the progression of AD. Cell culture reporter assays performed with a subset of the predicted miR-107 binding sites indicate the presence of at least one physiological miR-107 miRNA recognition sequence in the 3′-UTR of BACE1 mRNA. Together, the coordinated application of miRNA profiling, Affymetrix microarrays, new bioinformatics predictions, in situ hybridization, and biochemical validation indicate that miR-107 may be involved in accelerated disease progression through regulation of BACE1.
774 citations
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TL;DR: Clinical trials are needed to define whether hyporesponders to clopidogrel are at increased risk for thrombotic events and whether hyper-responders are at increase risk for bleeding.
772 citations
Authors
Showing all 44305 results
Name | H-index | Papers | Citations |
---|---|---|---|
Mark P. Mattson | 200 | 980 | 138033 |
Carlo M. Croce | 198 | 1135 | 189007 |
Charles A. Dinarello | 190 | 1058 | 139668 |
Richard A. Gibbs | 172 | 889 | 249708 |
Gang Chen | 167 | 3372 | 149819 |
David A. Bennett | 167 | 1142 | 109844 |
Carl W. Cotman | 165 | 809 | 105323 |
Rodney S. Ruoff | 164 | 666 | 194902 |
David Tilman | 158 | 340 | 149473 |
David Cella | 156 | 1258 | 106402 |
Richard E. Smalley | 153 | 494 | 111117 |
Deepak L. Bhatt | 149 | 1973 | 114652 |
Kevin Murphy | 146 | 728 | 120475 |
Jian Yang | 142 | 1818 | 111166 |
Thomas J. Smith | 140 | 1775 | 113919 |