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Institution

University of Virginia

EducationCharlottesville, Virginia, United States
About: University of Virginia is a education organization based out in Charlottesville, Virginia, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 52543 authors who have published 113268 publications receiving 5220506 citations. The organization is also known as: U of V & UVa.


Papers
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Journal ArticleDOI
TL;DR: The results provide a novel example of suppression of an oncogene by a tumor-suppressive miRNA and suggest that some tumors activate the oncogen through chromosomal translocations that eliminate the onCogene's 3'UTR with the let-7 target sites.
Abstract: HMGA2, a high-mobility group protein, is oncogenic in a variety of tumors, including benign mesenchymal tumors and lung cancers. Knockdown of Dicer in HeLa cells revealed that the HMGA2 gene is transcriptionally active, but its mRNA is destabilized in the cytoplasm through the microRNA (miRNA) pathway. HMGA2 was derepressed upon inhibition of let-7 in cells with high levels of the miRNA. Ectopic expression of let-7 reduced HMGA2 and cell proliferation in a lung cancer cell. The effect of let-7 on HMGA2 was dependent on multiple target sites in the 3' untranslated region (UTR), and the growth-suppressive effect of let-7 on lung cancer cells was rescued by overexpression of the HMGA2 ORF without a 3'UTR. Our results provide a novel example of suppression of an oncogene by a tumor-suppressive miRNA and suggest that some tumors activate the oncogene through chromosomal translocations that eliminate the oncogene's 3'UTR with the let-7 target sites.

1,194 citations

Journal ArticleDOI
TL;DR: Results demonstrate that the proportions of IQ variance attributable to genes and environment vary nonlinearly with SES, and suggest that in impoverished families, 60% of the variance in IQ is accounted for by the shared environment, and the contribution of genes is close to zero; in affluent families, the result is almost exactly the reverse.
Abstract: Scores on the Wechsler Intelligence Scale for Children were analyzed in a sample of 7-year-old twins from the National Col- laborative Perinatal Project. A substantial proportion of the twins were raised in families living near or below the poverty level. Biometric analyses were conducted using models allowing for components attrib- utable to the additive effects of genotype, shared environment, and non- shared environment to interact with socioeconomic status (SES) measured as a continuous variable. Results demonstrate that the proportions of IQ variance attributable to genes and environment vary nonlinearly with SES. The models suggest that in impoverished families, 60% of the vari- ance in IQ is accounted for by the shared environment, and the contri- bution of genes is close to zero; in affluent families, the result is almost exactly the reverse.

1,194 citations

Journal ArticleDOI
Steven R. Majewski1, Ricardo P. Schiavon2, Peter M. Frinchaboy3, Carlos Allende Prieto4, Carlos Allende Prieto5, Robert H. Barkhouser6, Dmitry Bizyaev7, Dmitry Bizyaev8, Basil Blank, Sophia Brunner1, Adam Burton1, Ricardo Carrera5, Ricardo Carrera4, S. Drew Chojnowski8, S. Drew Chojnowski1, Katia Cunha9, Courtney R. Epstein10, Greg Fitzgerald, Ana E. García Pérez5, Ana E. García Pérez1, Fred Hearty1, Fred Hearty11, Chuck Henderson, Jon A. Holtzman8, Jennifer A. Johnson10, Charles R. Lam1, James E. Lawler12, Paul Maseman9, Szabolcs Mészáros5, Szabolcs Mészáros13, Szabolcs Mészáros4, Matthew J. Nelson1, Duy Coung Nguyen14, David L. Nidever1, David L. Nidever15, Marc H. Pinsonneault10, Matthew Shetrone16, Stephen A. Smee6, Verne V. Smith9, T. Stolberg, Michael F. Skrutskie1, E. Walker1, John C. Wilson1, Gail Zasowski1, Gail Zasowski6, Friedrich Anders17, Sarbani Basu18, Stephane Beland19, Michael R. Blanton20, Jo Bovy14, Jo Bovy21, Joel R. Brownstein22, Joleen K. Carlberg1, Joleen K. Carlberg23, William J. Chaplin24, William J. Chaplin25, Cristina Chiappini17, Daniel J. Eisenstein26, Yvonne Elsworth24, Diane Feuillet8, Scott W. Fleming27, Scott W. Fleming28, Jessica Galbraith-Frew22, Rafael A. García29, D. Anibal García-Hernández5, D. Anibal García-Hernández4, Bruce Gillespie6, Léo Girardi30, James E. Gunn21, Sten Hasselquist8, Sten Hasselquist1, Michael R. Hayden8, Saskia Hekker25, Saskia Hekker31, Inese I. Ivans22, Karen Kinemuchi8, Mark A. Klaene8, Suvrath Mahadevan11, Savita Mathur32, Benoit Mosser33, Demitri Muna10, Jeffrey A. Munn, Robert C. Nichol, Robert W. O'Connell1, John K. Parejko18, Annie C. Robin34, H. J. Rocha-Pinto35, M. Schultheis36, Aldo Serenelli5, Neville Shane1, Victor Silva Aguirre25, Jennifer Sobeck1, Benjamin A. Thompson3, Nicholas W. Troup1, David H. Weinberg10, Olga Zamora5, Olga Zamora4 
TL;DR: In this article, the Hungarian National Research, Development and Innovation Office (K-119517) and Hungarian National Science Foundation (KNFI) have proposed a method to detect the presence of asteroids in Earth's magnetic field.
Abstract: National Science Foundation [AST-1109178, AST-1616636]; Gemini Observatory; Spanish Ministry of Economy and Competitiveness [AYA-2011-27754]; NASA [NNX12AE17G]; Hungarian Academy of Sciences; Hungarian NKFI of the Hungarian National Research, Development and Innovation Office [K-119517]; Alfred P. Sloan Foundation; National Science Foundation; U.S. Department of Energy Office of Science

1,193 citations

Journal ArticleDOI
TL;DR: The DEEP2 and COMBO-17 surveys are compared to study luminosity functions of red and blue galaxies to z ~ 1, and the results imply that the number and total stellar mass of blue galaxies have been substantially constant since z = 1, whereas those of red galaxies (near L*) have been significantly rising as mentioned in this paper.
Abstract: The DEEP2 and COMBO-17 surveys are compared to study luminosity functions of red and blue galaxies to z ~ 1. The two surveys have different methods and sensitivities, but nevertheless results agree. After z ~ 1, M has dimmed by 1.2-1.3 mag for all colors of galaxies, * for blue galaxies has hardly changed, and * for red galaxies has at least doubled (our formal value is ~0.5 dex). Luminosity density jB has fallen by 0.6 dex for blue galaxies but has remained nearly constant for red galaxies. These results imply that the number and total stellar mass of blue galaxies have been substantially constant since z ~ 1, whereas those of red galaxies (near L*) have been significantly rising. To explain the new red galaxies, a ``mixed'' scenario is proposed in which star formation in blue cloud galaxies is quenched, causing them to migrate to the red sequence, where they merge further in a small number of stellar mergers. This mixed scenario matches the local boxy-disky transition for nearby ellipticals, as well as red sequence stellar population scaling laws such as the color-magnitude and Mg-? relations (which are explained as fossil relics from blue progenitors). Blue galaxies enter the red sequence via different quenching modes, each of which peaks at a different characteristic mass and time. The red sequence therefore likely builds up in different ways at different times and masses, and the concept of a single process that is ``downsizing'' (or upsizing) probably does not apply. Our claim in this paper of a rise in the number of red galaxies applies to galaxies near L*. Accurate counts of brighter galaxies on the steep part of the Schechter function require more accurate photometry than is currently available.

1,193 citations

Journal ArticleDOI
TL;DR: The authors examined how the legal environment affects financial development, and then asked how this in turn is linked to long-run economic growth, finding that financial intermediaries are better developed in countries with legal and regulatory systems that give a high priority to creditors receiving the full present value of their claims on corporations, enforce contracts effectively, and promote comprehensive and accurate financial reporting by corporations.

1,190 citations


Authors

Showing all 53083 results

NameH-indexPapersCitations
Joan Massagué189408149951
Michael Rutter188676151592
Gordon B. Mills1871273186451
Ralph Weissleder1841160142508
Gonçalo R. Abecasis179595230323
Jie Zhang1784857221720
John R. Yates1771036129029
John A. Rogers1771341127390
Bradley Cox1692150156200
Mika Kivimäki1661515141468
Hongfang Liu1662356156290
Carl W. Cotman165809105323
Ralph A. DeFronzo160759132993
Elio Riboli1581136110499
Dan R. Littman157426107164
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023189
2022783
20215,566
20205,600
20195,001
20184,586