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Institution

Vanderbilt University

EducationNashville, Tennessee, United States
About: Vanderbilt University is a education organization based out in Nashville, Tennessee, United States. It is known for research contribution in the topics: Population & Cancer. The organization has 45066 authors who have published 106528 publications receiving 5435039 citations. The organization is also known as: Vandy.


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Journal ArticleDOI
TL;DR: It is concluded that early experience, biological factors, educational policy, and cultural context affect the number of women and men who pursue advanced study in science and math and that these effects add and interact in complex ways.
Abstract: SUMMARY—Amid ongoing public speculation about the reasons for sex differences in careers in science and mathematics, we present a consensus statement that is based on the best available scientific evidence. Sex differences in science and math achievement and ability are smaller for the mid-range of the abilities distribution than they are for those with the highest levels of achievement and ability. Males are more variable on most measures of quantitative and visuospatial ability, which necessarily results in more males at both high- and low-ability extremes; the reasons why males are often more variable remain elusive. Successful careers in math and science require many types of cognitive abilities. Females tend to excel in verbal abilities, with large differences between females andmalesfound whenassessmentsincludewriting samples. High-level achievement in science and math requires the ability to communicate effectively and comprehend abstract ideas, so the female advantage in writing should be helpful in all academic domains. Males outperform females on most measures of visuospatial abilities, which have been implicated as contributing to sex differences on standardized examsin mathematics and science. An evolutionary account of sex differences in mathematics and science supports the conclusion that, although sex differences in math and science performance have not directly evolved, they could be indirectly related to differences in interests and specific brain and cognitive systems. We review the brain basis for sex differences in science and mathematics, describe consistent effects, and identify numerous possible correlates. Experience alters brain structures and functioning, so causal statements about brain differences and success in math and science are circular. A wide range of sociocultural forces contribute to sex differences in mathematics and science achievement and ability—including the effects of family,neighborhood,peer,andschoolinfluences;training and experience; and cultural practices. We conclude that early experience, biological factors, educational policy, and cultural context affect the number of women and men who pursue advanced study in science and math and that these effects add and interact in complex ways. There are no single or simple answers to the complex questions about sex differences in science and mathematics.

979 citations

Journal ArticleDOI
Mark Gerstein1, Zhi John Lu1, Eric L. Van Nostrand2, Chao Cheng1, Bradley I. Arshinoff3, Tao Liu4, Kevin Y. Yip1, R. Robilotto1, Andreas Rechtsteiner5, Kohta Ikegami6, P. Alves1, A. Chateigner, Marc D. Perry7, Mitzi Morris8, Raymond K. Auerbach1, X. Feng9, Jing Leng1, A. Vielle10, Wei Niu1, Kahn Rhrissorrakrai8, Ashish Agarwal1, Roger P. Alexander1, Galt P. Barber5, Cathleen M. Brdlik2, J. Brennan6, Jeremy Brouillet2, Adrian Carr, Ming Sin Cheung10, Hiram Clawson5, Sergio Contrino, Luke Dannenberg11, Abby F. Dernburg12, Arshad Desai13, L. Dick14, Andréa C. Dosé12, Jiang Du1, Thea A. Egelhofer5, Sevinc Ercan6, Ghia Euskirchen1, Brent Ewing15, Elise A. Feingold16, Reto Gassmann13, Peter J. Good16, Philip Green15, Francois Gullier, M. Gutwein8, Mark S. Guyer16, Lukas Habegger1, Ting Han17, Jorja G. Henikoff18, Stefan R. Henz19, Angie S. Hinrichs5, H. Holster11, Tony Hyman19, A. Leo Iniguez11, J. Janette1, M. Jensen6, Masaomi Kato1, W. James Kent5, E. Kephart7, Vishal Khivansara17, Ekta Khurana1, John Kim17, P. Kolasinska-Zwierz10, Eric C. Lai20, Isabel J. Latorre10, Amber Leahey15, Suzanna E. Lewis12, Paul Lloyd7, Lucas Lochovsky1, Rebecca F. Lowdon16, Yaniv Lubling21, Rachel Lyne, Michael J. MacCoss15, Sebastian D. Mackowiak22, Marco Mangone8, Sheldon J. McKay23, D. Mecenas8, Gennifer E. Merrihew15, David M. Miller24, A. Muroyama13, John I. Murray15, Siew Loon Ooi18, Hoang Pham12, T. Phippen5, Elicia Preston15, Nikolaus Rajewsky22, Gunnar Rätsch19, Heidi Rosenbaum11, Joel Rozowsky1, Kim Rutherford, P. Ruzanov7, Mihail Sarov19, Rajkumar Sasidharan1, Andrea Sboner1, P. Scheid8, Eran Segal21, Hyunjin Shin4, C. Shou1, Frank J. Slack1, C. Slightam2, Richard J.H. Smith, William C. Spencer24, Eo Stinson12, S. Taing4, Teruaki Takasaki5, D. Vafeados15, Ksenia Voronina13, Guilin Wang1, Nicole L. Washington12, Christina M. Whittle6, Beijing Wu2, Koon-Kiu Yan1, Georg Zeller, Z. Zha7, Mei Zhong1, Xingliang Zhou6, Julie Ahringer10, Susan Strome5, Kristin C. Gunsalus25, Gos Micklem, X. Shirley Liu4, Valerie Reinke1, Stuart K. Kim2, LaDeana W. Hillier15, Steven Henikoff18, Fabio Piano25, Michael Snyder1, Lincoln Stein23, Jason D. Lieb6, Robert H. Waterston15 
24 Dec 2010-Science
TL;DR: These studies identified regions of the nematode and fly genomes that show highly occupied targets (or HOT) regions where DNA was bound by more than 15 of the transcription factors analyzed and the expression of related genes were characterized, providing insights into the organization, structure, and function of the two genomes.
Abstract: We systematically generated large-scale data sets to improve genome annotation for the nematode Caenorhabditis elegans, a key model organism. These data sets include transcriptome profiling across a developmental time course, genome-wide identification of transcription factor-binding sites, and maps of chromatin organization. From this, we created more complete and accurate gene models, including alternative splice forms and candidate noncoding RNAs. We constructed hierarchical networks of transcription factor-binding and microRNA interactions and discovered chromosomal locations bound by an unusually large number of transcription factors. Different patterns of chromatin composition and histone modification were revealed between chromosome arms and centers, with similarly prominent differences between autosomes and the X chromosome. Integrating data types, we built statistical models relating chromatin, transcription factor binding, and gene expression. Overall, our analyses ascribed putative functions to most of the conserved genome.

978 citations

Journal ArticleDOI
TL;DR: Alternative splice variants described that alter the coding sequence in the C-terminal intracellular tail region modulate signal transduction, phosphorylation, and desensitization of these receptors, as well as altering agonist-independent constitutive activity.
Abstract: Cyclooxygenases metabolize arachidonate to five primary prostanoids: PGE2, PGF2α, PGI2, TxA2, and PGD2. These autacrine lipid mediators interact with specific members of a family of distinct G-protein-coupled prostanoid receptors, designated EP, FP, IP, TP, and DP, respectively. Each of these receptors has been cloned, expressed, and characterized. This family of eight prostanoid receptor complementary DNAs encodes seven transmembrane proteins which are typical of G-protein-coupled receptors and these receptors are distinguished by their ligand-binding profiles and the signal transduction pathways activated on ligand binding. Ligand-binding selectivity of these receptors is determined by both the transmembrane sequences and amino acid residues in the putative extracellular-loop regions. The selectivity of interaction between the receptors and G proteins appears to be mediated at least in part by the C-terminal tail region. Each of the EP1, EP3, FP, and TP receptors has alternative splice variants describe...

975 citations

Journal ArticleDOI
TL;DR: This Review summarizes recent developments aimed at treating and ultimately curing Epidermal growth factor receptor-mutant lung cancer.
Abstract: Epidermal growth factor receptor (EGFR)-mutant non-small-cell lung cancer (NSCLC) was first recognized in 2004 as a distinct, clinically relevant molecular subset of lung cancer. The disease has been the subject of intensive research at both the basic scientific and clinical levels, becoming a paradigm for how to understand and treat oncogene-driven carcinomas. Although patients with EGFR-mutant tumours have increased sensitivity to tyrosine kinase inhibitors (TKIs), primary and acquired resistance to these agents remains a major clinical problem. This Review summarizes recent developments aimed at treating and ultimately curing the disease.

975 citations

Journal ArticleDOI
G. L. Bayatian, S. Chatrchyan, G. Hmayakyan, Albert M. Sirunyan  +2060 moreInstitutions (143)
TL;DR: In this article, the authors present a detailed analysis of the performance of the Large Hadron Collider (CMS) at 14 TeV and compare it with the state-of-the-art analytical tools.
Abstract: CMS is a general purpose experiment, designed to study the physics of pp collisions at 14 TeV at the Large Hadron Collider (LHC). It currently involves more than 2000 physicists from more than 150 institutes and 37 countries. The LHC will provide extraordinary opportunities for particle physics based on its unprecedented collision energy and luminosity when it begins operation in 2007. The principal aim of this report is to present the strategy of CMS to explore the rich physics programme offered by the LHC. This volume demonstrates the physics capability of the CMS experiment. The prime goals of CMS are to explore physics at the TeV scale and to study the mechanism of electroweak symmetry breaking--through the discovery of the Higgs particle or otherwise. To carry out this task, CMS must be prepared to search for new particles, such as the Higgs boson or supersymmetric partners of the Standard Model particles, from the start-up of the LHC since new physics at the TeV scale may manifest itself with modest data samples of the order of a few fb−1 or less. The analysis tools that have been developed are applied to study in great detail and with all the methodology of performing an analysis on CMS data specific benchmark processes upon which to gauge the performance of CMS. These processes cover several Higgs boson decay channels, the production and decay of new particles such as Z' and supersymmetric particles, Bs production and processes in heavy ion collisions. The simulation of these benchmark processes includes subtle effects such as possible detector miscalibration and misalignment. Besides these benchmark processes, the physics reach of CMS is studied for a large number of signatures arising in the Standard Model and also in theories beyond the Standard Model for integrated luminosities ranging from 1 fb−1 to 30 fb−1. The Standard Model processes include QCD, B-physics, diffraction, detailed studies of the top quark properties, and electroweak physics topics such as the W and Z0 boson properties. The production and decay of the Higgs particle is studied for many observable decays, and the precision with which the Higgs boson properties can be derived is determined. About ten different supersymmetry benchmark points are analysed using full simulation. The CMS discovery reach is evaluated in the SUSY parameter space covering a large variety of decay signatures. Furthermore, the discovery reach for a plethora of alternative models for new physics is explored, notably extra dimensions, new vector boson high mass states, little Higgs models, technicolour and others. Methods to discriminate between models have been investigated. This report is organized as follows. Chapter 1, the Introduction, describes the context of this document. Chapters 2-6 describe examples of full analyses, with photons, electrons, muons, jets, missing ET, B-mesons and τ's, and for quarkonia in heavy ion collisions. Chapters 7-15 describe the physics reach for Standard Model processes, Higgs discovery and searches for new physics beyond the Standard Model

973 citations


Authors

Showing all 45403 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
Meir J. Stampfer2771414283776
John Q. Trojanowski2261467213948
Robert M. Califf1961561167961
Matthew Meyerson194553243726
Scott M. Grundy187841231821
Tony Hunter175593124726
David R. Jacobs1651262113892
Donald E. Ingber164610100682
L. Joseph Melton16153197861
Ralph A. DeFronzo160759132993
David W. Bates1591239116698
Charles N. Serhan15872884810
David Cella1561258106402
Jay Hauser1552145132683
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023141
2022541
20215,134
20205,232
20194,883
20184,649