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Institution

University of Rochester

EducationRochester, New York, United States
About: University of Rochester is a education organization based out in Rochester, New York, United States. It is known for research contribution in the topics: Population & Laser. The organization has 63915 authors who have published 112762 publications receiving 5484122 citations. The organization is also known as: Rochester University.


Papers
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Journal ArticleDOI
TL;DR: In this article, a quantitative bioassay for PAI was developed by cloning a lasB::lacZ fusion and a lasR gene under control of the lac promoter in Escherichia coli.
Abstract: In Pseudomonas aeruginosa the LasR protein is required for activation of lasB and several other virulence genes. A diffusible signal molecule, the P. aeruginosa autoinducer (PAI), produced by the bacterial cell and released into the growth medium, is required for activity of LasR. By cloning a lasB::lacZ fusion and a lasR gene under control of the lac promoter in Escherichia coli, we have developed a quantitative bioassay for PAI. We have used this assay to follow the purification of PAI from cell-free culture supernatant fluids in which P. aeruginosa or E. coli containing the P. aeruginosa gene required for autoinducer synthesis, lasI, had been grown. Chemical analyses indicated the purified material was 3-oxo-N-(tetrahydro-2-oxo-3-furanyl)dodecanamide. To confirm this assignment, the compound was synthesized and the synthetic compound was shown to have chemical and biological properties identical to those of PAI purified from culture supernatant fluids. The elucidation of the PAI structure suggests therapeutic approaches toward control of P. aeruginosa infections.

974 citations

Journal ArticleDOI
TL;DR: In this paper, early adolescents' representations of relationships to teachers, parents, and friends are examined in relation to each other and to various measures of school adjustment, motivation and self-esteem.
Abstract: In this study early adolescents' (N = 606) representations of relationships to teachers, parents, andfriends are examined in relation to each other and to various measures of school adjustment, motivation and self-esteem. The relationship dimensions tapped included felt security, emotional and school utilization, and emulation with respect to each targetfigure. It was hypothesized that parent representations would predict those of both teachers and friends, whereas friend and teacher variables would not be significantly associated. It was predicted also that more positive representations of relationships to parents and teachers would each uniquely predict school functioning indices, whereas representations offriends would be largely unrelated to school-related outcomes. Representations of teachers, parents andfriends all were expected to correlate with self-esteem relevant outcomes. These hypotheses were generally confirmed. The findings are discussed in terms of the significance of relatednessformotivati...

974 citations

Journal ArticleDOI
TL;DR: It was found that a reader was able to make a semantic interpretation of a word that began 1–6 character spaces from his fixation point, and the size of the area from which he does is rather small, suggesting that the skilled reader is able to take advantage of information in the periphery.

973 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

Journal ArticleDOI
14 Oct 2005-Science
TL;DR: Findings support the association of rare SLITRK1 sequence variants with TS by identifying a frameshift mutation and two independent occurrences of the identical variant in the binding site for microRNA hsa-miR-189.
Abstract: Tourette's syndrome (TS) is a genetically influenced developmental neuropsychiatric disorder characterized by chronic vocal and motor tics. We studied Slit and Trk-like 1 (SLITRK1) as a candidate gene on chromosome 13q31.1 because of its proximity to a de novo chromosomal inversion in a child with TS. Among 174 unrelated probands, we identified a frameshift mutation and two independent occurrences of the identical variant in the binding site for microRNA hsa-miR-189. These variants were absent from 3600 control chromosomes. SLITRK1 mRNA and hsa-miR-189 showed an overlapping expression pattern in brain regions previously implicated in TS. Wild-type SLITRK1, but not the frameshift mutant, enhanced dendritic growth in primary neuronal cultures. Collectively, these findings support the association of rare SLITRK1 sequence variants with TS.

973 citations


Authors

Showing all 64186 results

NameH-indexPapersCitations
Eugene Braunwald2301711264576
Cyrus Cooper2041869206782
Eric J. Topol1931373151025
Dennis W. Dickson1911243148488
Scott M. Grundy187841231821
John C. Morris1831441168413
Ronald C. Petersen1781091153067
David R. Williams1782034138789
John Hardy1771178171694
Russel J. Reiter1691646121010
Michael Snyder169840130225
Jiawei Han1681233143427
Gang Chen1673372149819
Marc A. Pfeffer166765133043
Salvador Moncada164495138030
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023101
2022383
20213,841
20203,895
20193,699
20183,541