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Institution

University of Kentucky

EducationLexington, 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
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Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
John L. Bowman1, Takayuki Kohchi2, Katsuyuki T. Yamato3, Jerry Jenkins4, Shengqiang Shu4, Kimitsune Ishizaki5, Shohei Yamaoka2, Ryuichi Nishihama2, Yasukazu Nakamura6, Frédéric Berger7, Catherine Adam4, Shiori S Aki8, Felix Althoff9, Takashi Araki2, Mario A. Arteaga-Vazquez10, Sureshkumar Balasubrmanian1, Kerrie Barry4, Diane Bauer4, Christian R. Boehm11, Liam N. Briginshaw1, Juan Caballero-Pérez12, Bruno Catarino13, Feng Chen14, Shota Chiyoda2, Mansi Chovatia4, Kevin M. Davies15, Mihails Delmans11, Taku Demura8, Tom Dierschke9, Tom Dierschke1, Liam Dolan13, Ana E. Dorantes-Acosta10, D. Magnus Eklund1, D. Magnus Eklund16, Stevie N. Florent1, Eduardo Flores-Sandoval1, Asao Fujiyama6, Hideya Fukuzawa2, Bence Galik, Daniel Grimanelli17, Jane Grimwood4, Ueli Grossniklaus18, Takahiro Hamada19, Jim Haseloff11, Alexander J. Hetherington13, Asuka Higo2, Yuki Hirakawa20, Yuki Hirakawa1, Hope Hundley4, Yoko Ikeda21, Keisuke Inoue2, Shin-ichiro Inoue20, Sakiko Ishida2, Qidong Jia14, Mitsuru Kakita20, Takehiko Kanazawa19, Takehiko Kanazawa22, Yosuke Kawai23, Tomokazu Kawashima24, Tomokazu Kawashima25, Megan Kennedy4, Keita Kinose2, Toshinori Kinoshita20, Yuji Kohara6, Eri Koide2, Kenji Komatsu26, Sarah Kopischke9, Minoru Kubo8, Junko Kyozuka23, Ulf Lagercrantz16, Shih-Shun Lin27, Erika Lindquist4, Anna Lipzen4, Chia-Wei Lu27, Efraín De Luna, Robert A. Martienssen28, Naoki Minamino19, Naoki Minamino22, Masaharu Mizutani5, Miya Mizutani2, Nobuyoshi Mochizuki2, Isabel Monte29, Rebecca A. Mosher30, Hideki Nagasaki, Hirofumi Nakagami31, Satoshi Naramoto23, Kazuhiko Nishitani23, Misato Ohtani8, Takashi Okamoto32, Masaki Okumura20, Jeremy Phillips4, Bernardo Pollak11, Anke Reinders33, Moritz Rövekamp18, Ryosuke Sano8, Shinichiro Sawa34, Marc W. Schmid18, Makoto Shirakawa2, Roberto Solano29, Alexander Spunde4, Noriyuki Suetsugu2, Sumio Sugano19, Akifumi Sugiyama2, Rui Sun2, Yutaka Suzuki19, Mizuki Takenaka35, Daisuke Takezawa36, Hirokazu Tomogane2, Masayuki Tsuzuki19, Takashi Ueda22, Masaaki Umeda8, John M. Ward33, Yuichiro Watanabe19, Kazufumi Yazaki2, Ryusuke Yokoyama23, Yoshihiro Yoshitake2, Izumi Yotsui, Sabine Zachgo9, Jeremy Schmutz4 
05 Oct 2017-Cell
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

Journal ArticleDOI
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

Journal ArticleDOI
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

NameH-indexPapersCitations
Mark P. Mattson200980138033
Carlo M. Croce1981135189007
Charles A. Dinarello1901058139668
Richard A. Gibbs172889249708
Gang Chen1673372149819
David A. Bennett1671142109844
Carl W. Cotman165809105323
Rodney S. Ruoff164666194902
David Tilman158340149473
David Cella1561258106402
Richard E. Smalley153494111117
Deepak L. Bhatt1491973114652
Kevin Murphy146728120475
Jian Yang1421818111166
Thomas J. Smith1401775113919
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023108
2022532
20214,331
20204,216
20193,965
20183,605