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Institution

Victor Chang Cardiac Research Institute

NonprofitSydney, New South Wales, Australia
About: Victor Chang Cardiac Research Institute is a nonprofit organization based out in Sydney, New South Wales, Australia. It is known for research contribution in the topics: Mechanosensitive channels & Heart failure. The organization has 708 authors who have published 1599 publications receiving 70035 citations.


Papers
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Journal ArticleDOI
TL;DR: The data show that the P2Ztg transgene is a useful resource for detection of molecular disturbances in the LR cascade, as well as morphogenetic defects associated with other cardiac congenital disorders.
Abstract: To aid in detection and tracking of cells targeted by the left-right (LR) pathway in the heart throughout morphogenesis, expression from a Pitx2c-lacZ transgene (P2Ztg) was analysed in detail. β-galactosidase expression from P2Ztg was robust, allowing reliable visualisation of low-level Pitx2c expression, and was virtually entirely dependent upon NODAL signalling in the heart. P2Ztg showed expression in trabecular and septal, as well as non-trabecular, myocardium, and a strong expression bias in myocardium associated with individual endocardial cushions of the atrioventricular canal and outflow tract, which are essential for cardiac septation. Expression on the ventral surface of the outflow tract evolved to a specific stripe that could be used to track the future aorta during outflow tract spiralling and remodelling. Our data show that the P2Ztg transgene is a useful resource for detection of molecular disturbances in the LR cascade, as well as morphogenetic defects associated with other cardiac congenital disorders. Developmental Dynamics, 2011. © 2010 Wiley-Liss, Inc.

34 citations

Journal ArticleDOI
TL;DR: The activation of the large conductance MS channel of E. coli, (MscL), in DHBs is presented and the MscL activity response revealed that the droplet monolayer tension equilibrated over time, likely by insertion of lipid from solution.
Abstract: The droplet on hydrogel bilayer (DHB) is a novel platform for investigating the function of ion channels. Advantages of this setup include tight control of all bilayer components, which is compelling for the investigation of mechanosensitive (MS) ion channels, since they are highly sensitive to their lipid environment. However, the activation of MS ion channels in planar supported lipid bilayers, such as the DHB, has not yet been established. Here we present the activation of the large conductance MS channel of E. coli, (MscL), in DHBs. By selectively stretching the droplet monolayer with nanolitre injections of buffer, we induced quantifiable DHB tension, which could be related to channel activity. The MscL activity response revealed that the droplet monolayer tension equilibrated over time, likely by insertion of lipid from solution. Our study thus establishes a method to controllably activate MS channels in DHBs and thereby advances studies of MS channels in this novel platform.

34 citations

Journal ArticleDOI
TL;DR: The dataset from this study is being used by the In Silico Working Group to develop models of drug binding for risk prediction and is freely available as a 'gold standard' ambient temperature dataset to evaluate variability across high throughput platforms.

34 citations

Journal ArticleDOI
TL;DR: Left ventricular outflow patterns are at least as important as impedance parameters in determining late systolic pressure augmentation in this model.
Abstract: Late systolic augmentation of the ascending aortic pressure waveform is believed to be caused by particular impedance patterns but also could be caused by particular left ventricular outflow patter...

34 citations

Journal ArticleDOI
TL;DR: The power of individual microRNAs to predict disease status post-fingolimod was modest, but several combinations of 2 or 3 miRNAs were able to distinguish active from quiescent disease with greater than 90% accuracy, suggesting that fingolIMod may have mechanisms of action beyond its known functions.
Abstract: We and others have previously demonstrated the potential for circulating exosome microRNAs to aid in disease diagnosis. In this study, we sought the possible utility of serum exosome microRNAs as biomarkers for disease activity in multiple sclerosis patients in response to fingolimod therapy. We studied patients with relapsing-remitting multiple sclerosis prior to and 6 months after treatment with fingolimod. Disease activity was determined using gadolinium-enhanced magnetic resonance imaging. Serum exosome microRNAs were profiled using next-generation sequencing. Data were analysed using univariate/multivariate modelling and machine learning to determine microRNA signatures with predictive utility. Accordingly, we identified 15 individual miRNAs that were differentially expressed in serum exosomes from post-treatment patients with active versus quiescent disease. The targets of these microRNAs clustered in ontologies related to the immune and nervous systems and signal transduction. While the power of individual microRNAs to predict disease status post-fingolimod was modest (average 77%, range 65 to 91%), several combinations of 2 or 3 miRNAs were able to distinguish active from quiescent disease with greater than 90% accuracy. Further stratification of patients identified additional microRNAs associated with stable remission, and a positive response to fingolimod in patients with active disease prior to treatment. Overall, these data underscore the value of serum exosome microRNA signatures as non-invasive biomarkers of disease in multiple sclerosis and suggest they may be used to predict response to fingolimod in future clinical practice. Additionally, these data suggest that fingolimod may have mechanisms of action beyond its known functions.

34 citations


Authors

Showing all 728 results

NameH-indexPapersCitations
Bruce D. Walker15577986020
Stefanie Dimmeler14757481658
Matthias W. Hentze11031941879
Roland Stocker9233134364
Richard P. Harvey8340327060
Michael F. O'Rourke8145135355
Robert Terkeltaub8028421034
Robert M. Graham6931916342
Sunil Gupta6944033856
Anne Keogh6433720268
Filip K. Knop6143713614
Peter S. Macdonald5745512988
Boris Martinac5624514121
Carolyn L. Geczy551878987
Christopher J. Ormandy541318757
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20234
202220
2021157
2020141
2019122
201897