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Institution

University of Ottawa

EducationOttawa, Ontario, Canada
About: University of Ottawa is a education organization based out in Ottawa, Ontario, Canada. It is known for research contribution in the topics: Population & Health care. The organization has 36763 authors who have published 87034 publications receiving 2913651 citations. The organization is also known as: uOttawa & U of O.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors investigated the internationalization strategies of UK high-tech small and medium-sized enterprises and found that strategy formation is not as systematic as some previous studies, notably those that focus on the stage models, suggest.

496 citations

Journal ArticleDOI
12 Apr 2004-Oncogene
TL;DR: The role of Bcl family proteins and poly(ADP-ribose) polymerase-1 signaling in the regulation of these apoptotic pathways are examined and ongoing controversies in this field are addressed.
Abstract: The major challenge in treating cancer is that many tumor cells carry mutations in key apoptotic genes such as p53, Bcl family proteins or those affecting caspase signaling Such defects render treatment with traditional chemotherapeutic agents ineffective Many studies have demonstrated the importance of caspase-independent cell death pathways in injury, degenerative diseases and tumor tissue It is now recognized that in addition to their critical role in the production of cellular energy, mitochondria are also the source of key proapoptotic molecules involved in caspase activation More recently, it has been discovered that in response to apoptotic stimuli, mitochondria can also release caspase-independent cell death effectors such as AIF and Endonuclease G In this review, we examine the role of Bcl family proteins and poly(ADP-ribose) polymerase-1 signaling in the regulation of these apoptotic pathways and address the ongoing controversies in this field Continued study of the mechanisms of apoptosis including caspase-independent death processes are likely to reveal novel therapeutic targets for the treatment of diverse human pathologies including cancer, neurodegenerative diseases and acute injuries such as stroke or myocardial infarction

496 citations

Journal ArticleDOI
TL;DR: In this article, the authors identified four heterozygous missense mutations in GJA5, the gene encoding connexin 40, in 15 patients with idiopathic atrial fibrillation.
Abstract: BACKGROUND Atrial fibrillation is the most common type of cardiac arrhythmia and a leading cause of cardiovascular morbidity, particularly stroke. The cardiac gap-junction protein connexin 40 is expressed selectively in atrial myocytes and mediates the coordinated electrical activation of the atria. We hypothesized that idiopathic atrial fibrillation has a genetic basis and that tissue-specific mutations in GJA5, the gene encoding connexin 40, may predispose the atria to fibrillation. METHODS We sequenced GJA5 from genomic DNA isolated from resected cardiac tissue and peripheral lymphocytes from 15 patients with idiopathic atrial fibrillation. Identified GJA5 mutations were transfected into a gap-junction-deficient cell line to assess their functional effects on protein transport and intercellular electrical coupling. RESULTS Four novel heterozygous missense mutations were identified in 4 of the 15 patients. In three patients, the mutations were found in the cardiac-tissue specimens but not in the lymphocytes, indicating a somatic source of the genetic defects. In the fourth patient, the sequence variant was detected in both cardiac tissue and lymphocytes, suggesting a germ-line origin. Analysis of the expression of mutant proteins revealed impaired intracellular transport or reduced intercellular electrical coupling. CONCLUSIONS Mutations in GJA5 may predispose patients to idiopathic atrial fibrillation by impairing gap-junction assembly or electrical coupling. Our data suggest that common diseases traditionally considered to be idiopathic may have a genetic basis, with mutations confined to the diseased tissue.

496 citations

Journal ArticleDOI
TL;DR: The apoptotic machinery regulates the biochemical properties of DRP1 during cell death, and it is demonstrated that in healthy cells, yellow fluorescent protein–DRP1 recycles between the cytoplasm and mitochondria with a half-time of 50 s.
Abstract: Dynamin-related protein 1 (DRP1) plays an important role in mitochondrial fission at steady state and during apoptosis. Using fluorescence recovery after photobleaching, we demonstrate that in healthy cells, yellow fluorescent protein (YFP)–DRP1 recycles between the cytoplasm and mitochondria with a half-time of 50 s. Strikingly, during apoptotic cell death, YFP-DRP1 undergoes a transition from rapid recycling to stable membrane association. The rapid cycling phase that characterizes the early stages of apoptosis is independent of Bax/Bak. However, after Bax recruitment to the mitochondrial membranes but before the loss of mitochondrial membrane potential, YFP-DRP1 becomes locked on the membrane, resulting in undetectable fluorescence recovery. This second phase in DRP1 cycling is dependent on the presence of Bax/Bak but independent of hFis1 and mitochondrial fragmentation. Coincident with Bax activation, we detect a Bax/Bak-dependent stimulation of small ubiquitin-like modifier-1 conjugation to DRP1, a modification that correlates with the stable association of DRP1 with mitochondrial membranes. Altogether, these data demonstrate that the apoptotic machinery regulates the biochemical properties of DRP1 during cell death.

495 citations

Journal ArticleDOI
TL;DR: In this paper, various techniques aimed at detecting potential outliers are reviewed and these techniques are subdivided into two classes, the ones regarding univariate data and those addressing multivariate data.
Abstract: Outliers are observations or measures that are suspicious because they are much smaller or much larger than the vast majority of the observations. These observations are problematic because they may not be caused by the mental process under scrutiny or may not reflect the ability under examination. The problem is that a few outliers is sometimes enough to distort the group results (by altering the mean performance, by increasing variability, etc.). In this paper, various techniques aimed at detecting potential outliers are reviewed. These techniques are subdivided into two classes, the ones regarding univariate data and those addressing multivariate data. Within these two classes, we consider the cases where the population distribution is known to be normal, the population is not normal but known, or the population is unknown. Recommendations will be put forward in each case.

494 citations


Authors

Showing all 37148 results

NameH-indexPapersCitations
Douglas G. Altman2531001680344
Cyrus Cooper2041869206782
Rakesh K. Jain2001467177727
Robert M. Califf1961561167961
Eric J. Topol1931373151025
Jasvinder A. Singh1762382223370
Deborah J. Cook173907148928
Marc A. Pfeffer166765133043
Richard M. Ryan164405244550
Christopher J. O'Donnell159869126278
Jean M. J. Fréchet15472690295
Stephen J. O'Brien153106293025
George A. Wells149941114256
Nilesh J. Samani149779113545
Seeram Ramakrishna147155299284
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023187
2022665
20215,989
20205,712
20195,144
20184,736