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Institution

University of Hawaii

EducationHonolulu, Hawaii, United States
About: University of Hawaii is a education organization based out in Honolulu, Hawaii, United States. It is known for research contribution in the topics: Galaxy & Population. The organization has 17971 authors who have published 36102 publications receiving 1620196 citations.
Topics: Galaxy, Population, Redshift, Stars, Star formation


Papers
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Journal ArticleDOI
TL;DR: Seven prostate cancer risk variants are identified, five of them previously undescribed, spanning 430 kb and each independently predicting risk for prostate cancer (P = 7.9 × 10−19 for the strongest association), and common genotypes that span a more than fivefold range of susceptibility to cancer in some populations are defined.
Abstract: After the recent discovery that common genetic variation in 8q24 influences inherited risk of prostate cancer, we genotyped 2,973 SNPs in up to 7,518 men with and without prostate cancer from five populations. We identified seven risk variants, five of them previously undescribed, spanning 430 kb and each independently predicting risk for prostate cancer (P = 7.9 x 10(-19) for the strongest association, and P < 1.5 x 10(-4) for five of the variants, after controlling for each of the others). The variants define common genotypes that span a more than fivefold range of susceptibility to cancer in some populations. None of the prostate cancer risk variants aligns to a known gene or alters the coding sequence of an encoded protein.

668 citations

Journal ArticleDOI
TL;DR: In this article, the authors show that NMORB and the depleted MORB mantle reservoir are characterised by a similarly limited range in / ratios and suggest that the high / MORB-like basalts may ultimately be related to mantle plumes and represent melts of a depleted component entrained by the plumes.

666 citations

Journal ArticleDOI
TL;DR: The first cosmological results from the ESSENCE supernova survey (Wood-Vasey and coworkers) are extended to a wider range of cosmology models including dynamical dark energy and nonstandard cosmologies as mentioned in this paper.
Abstract: The first cosmological results from the ESSENCE supernova survey (Wood-Vasey and coworkers) are extended to a wider range of cosmological models including dynamical dark energy and nonstandard cosmological models. We fold in a greater number of external data sets such as the recent Higher-z release of high-redshift supernovae (Riess and coworkers), as well as several complementary cosmological probes. Model comparison statistics such as the Bayesian and Akaike information criteria are applied to gauge the worth of models. These statistics favor models that give a good fit with fewer parameters. Based on this analysis, the preferred cosmological model is the flat cosmological constant model, where the expansion history of the universe can be adequately described with only one free parameter describing the energy content of the universe. Among the more exotic models that provide good fits to the data, we note a preference for models whose best-fit parameters reduce them to the cosmological constant model.

665 citations

Journal ArticleDOI
Oliver Kepp1, Laura Senovilla1, Ilio Vitale, Erika Vacchelli1, Sandy Adjemian2, Patrizia Agostinis3, Lionel Apetoh4, Fernando Aranda1, Vincenzo Barnaba5, Norma Bloy1, Laura Bracci6, Karine Breckpot7, David Brough8, Aitziber Buqué1, Maria G. Castro9, Mara Cirone5, María Isabel Colombo10, Isabelle Cremer11, Sandra Demaria12, Luciana Dini13, Aristides G. Eliopoulos14, Alberto Faggioni5, Silvia C. Formenti12, Jitka Fucikova15, Lucia Gabriele6, Udo S. Gaipl16, Jérôme Galon11, Abhishek D. Garg3, François Ghiringhelli4, Nathalia A. Giese17, Zong Sheng Guo18, Akseli Hemminki19, Martin Herrmann16, James W. Hodge20, Stefan Holdenrieder21, Jamie Honeychurch8, Hong-Min Hu22, Xing Huang1, Timothy M Illidge8, Koji Kono23, Mladen Korbelik, Dmitri V. Krysko24, Sherene Loi, Pedro R. Lowenstein9, Enrico Lugli25, Yuting Ma1, Frank Madeo26, Angelo A. Manfredi, Isabelle Martins27, Domenico Mavilio25, Laurie Menger28, Nicolò Merendino29, Michael Michaud1, Grégoire Mignot, Karen L. Mossman30, Gabriele Multhoff31, Rudolf Oehler32, Fabio Palombo5, Theocharis Panaretakis33, Jonathan Pol1, Enrico Proietti6, Jean-Ehrland Ricci34, Chiara Riganti35, Patrizia Rovere-Querini, Anna Rubartelli, Antonella Sistigu, Mark J. Smyth36, Juergen Sonnemann, Radek Spisek15, John Stagg37, Abdul Qader Sukkurwala38, Eric Tartour39, Andrew Thorburn40, Stephen H. Thorne18, Peter Vandenabeele24, Francesca Velotti29, Samuel T Workenhe30, Haining Yang41, Wei-Xing Zong42, Laurence Zitvogel1, Guido Kroemer43, Lorenzo Galluzzi43 
TL;DR: Strategies conceived to detect surrogate markers of ICD in vitro and to screen large chemical libraries for putative I CD inducers are outlined, based on a high-content, high-throughput platform that was recently developed.
Abstract: Apoptotic cells have long been considered as intrinsically tolerogenic or unable to elicit immune responses specific for dead cell-associated antigens. However, multiple stimuli can trigger a functionally peculiar type of apoptotic demise that does not go unnoticed by the adaptive arm of the immune system, which we named "immunogenic cell death" (ICD). ICD is preceded or accompanied by the emission of a series of immunostimulatory damage-associated molecular patterns (DAMPs) in a precise spatiotemporal configuration. Several anticancer agents that have been successfully employed in the clinic for decades, including various chemotherapeutics and radiotherapy, can elicit ICD. Moreover, defects in the components that underlie the capacity of the immune system to perceive cell death as immunogenic negatively influence disease outcome among cancer patients treated with ICD inducers. Thus, ICD has profound clinical and therapeutic implications. Unfortunately, the gold-standard approach to detect ICD relies on vaccination experiments involving immunocompetent murine models and syngeneic cancer cells, an approach that is incompatible with large screening campaigns. Here, we outline strategies conceived to detect surrogate markers of ICD in vitro and to screen large chemical libraries for putative ICD inducers, based on a high-content, high-throughput platform that we recently developed. Such a platform allows for the detection of multiple DAMPs, like cell surface-exposed calreticulin, extracellular ATP and high mobility group box 1 (HMGB1), and/or the processes that underlie their emission, such as endoplasmic reticulum stress, autophagy and necrotic plasma membrane permeabilization. We surmise that this technology will facilitate the development of next-generation anticancer regimens, which kill malignant cells and simultaneously convert them into a cancer-specific therapeutic vaccine.

665 citations

Journal ArticleDOI
TL;DR: A new measure of homophobia, called the IHP, is presented, and the finding of a study designed to validate the new scale was found to have a reliability of .90 and good content and factorial validity.
Abstract: This paper attempts to refine and state more clearly an operational definition of homophobia. Homophobia is seen as but one dimension among many that collectively refer to the much larger domain of homonegativeism. The paper then presents a new measure of homophobia, called the IHP, and reports the finding of a study designed to validate the new scale. The IHP was found to have a reliability of .90 and good content and factorial validity.

661 citations


Authors

Showing all 18036 results

NameH-indexPapersCitations
Pulickel M. Ajayan1761223136241
James M. Tiedje150688102287
Peter Capak14767970483
Simon Prunet14143496314
H. J. McCracken14057971091
Jean-Paul Kneib13880589287
Robert H. Brown136117479247
James A. Richardson13636375778
Lihong V. Wang136111872482
Marvin L. Cohen13497987767
Lee Hartmann13457957649
Nick Scoville13352856418
William T. Reach13153590496
Jian Zhou128300791402
Bin Wang126222674364
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202336
202276
20211,112
20201,100
20191,003
20181,035