Zobrazeno 1 - 10 of 19 pro vyhledávání: '"Aideen C. Roddy"'
1
Akademický článek
Transcriptional Profiling of a Patient-Matched Cohort of Glioblastoma (IDH-Wildtype) for Therapeutic Target and Repurposing Drug Identification
Autor: Aideen C. Roddy, Caitríona E. McInerney, Tom Flannery, Estelle G. Healy, James P. Stewart, Veronica J. Spence, Jamie Walsh, Manuel Salto-Tellez, Darragh G. McArt, Kevin M. Prise
Publikováno v: Biomedicines, Vol 11, Iss 4, p 1219 (2023)
Glioblastoma (GBM) is the most prevalent and aggressive adult brain tumor. Despite multi-modal therapies, GBM recurs, and patients have poor survival (~14 months). Resistance to therapy may originate from a subpopulation of tumor cells identified as
Externí odkaz: https://doaj.org/article/f0c8e8ffdc1141a29cf7ee38fcb6596a
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2
Akademický článek
Cancer-cell intrinsic gene expression signatures overcome intratumoural heterogeneity bias in colorectal cancer patient classification
Autor: Philip D. Dunne, Matthew Alderdice, Paul G. O'Reilly, Aideen C. Roddy, Amy M. B. McCorry, Susan Richman, Tim Maughan, Simon S. McDade, Patrick G. Johnston, Daniel B. Longley, Elaine Kay, Darragh G. McArt, Mark Lawler
Publikováno v: Nature Communications, Vol 8, Iss 1, Pp 1-12 (2017)
Tumour expression profiling is currently used for prognostic and predictive purposes without taking into account the intra patient heterogeneity. Here the authors show that cancer cell specific signatures overcome the tumour heterogeneity effect and
Externí odkaz: https://doaj.org/article/4cfe33bfecaf449b9233c78e1aecfd67
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4
Data from ACE: A Workbench Using Evolutionary Genetic Algorithms for Analyzing Association in TCGA
Autor: Darragh G. McArt, David J. Waugh, Simon S. McDade, Mark Lawler, Philip D. Dunne, Aideen C. Roddy, Paul G. O'Reilly, Kienan I. Savage, Matthew Alderdice, Alan R. Gilmore
Modern methods of acquiring molecular data have improved rapidly in recent years, making it easier for researchers to collect large volumes of information. However, this has increased the challenge of recognizing interesting patterns within the data.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2446fb46b04e01ac340b05b0882b0cdf
https://doi.org/10.1158/0008-5472.c.6511545.v1
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7
NUQA: Estimating Cancer Spatial and Temporal Heterogeneity and Evolution through Alignment-Free Methods
Autor: Alan Gilmore, Kevin M. Prise, Anna Jurek-Loughrey, Darragh G. McArt, David Gonzalez de Castro, Jose Souza, Manuel Salto-Tellez, Aideen C. Roddy, Paul G. O’Reilly, Alexey Stupnikov
Publikováno v: Molecular Biology and Evolution
Roddy, A, Jurek-Loughrey, A, Souza, J, Gilmore, A, O'Reilly, P, Stupnikov, A, Gonzalez de Castro, D, Prise, K, Salto-Tellez, M & McArt, D 2019, ' NUQA: Estimating cancer spatial and temporal heterogeneity and evolution through alignment-free methods ', Molecular Biology and Evolution . https://doi.org/10.1093/molbev/msz182
Longitudinal next-generation sequencing of cancer patient samples has enhanced our understanding of the evolution and progression of various cancers. As a result, and due to our increasing knowledge of heterogeneity, such sampling is becoming increas
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46b0c888c60cb50f21d88e023278c330
https://doi.org/10.1093/molbev/msz182
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8
ACE: A Workbench Using Evolutionary Genetic Algorithms for Analyzing Association in TCGA
Autor: David Waugh, Alan Gilmore, Simon S. McDade, Kienan Savage, Matthew Alderdice, Mark Lawler, Philip D Dunne, Darragh G. McArt, Paul G. O’Reilly, Aideen C. Roddy
Publikováno v: Cancer Research. 79:2072-2075
Modern methods of acquiring molecular data have improved rapidly in recent years, making it easier for researchers to collect large volumes of information. However, this has increased the challenge of recognizing interesting patterns within the data.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6aa88dc637f99af80e6ba8752fbef87
https://doi.org/10.1158/0008-5472.can-18-1976
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9
Prostate cancer heterogeneity assessment with multi-regional sampling and alignment-free methods
Autor: Joe M. O'Sullivan, Suneil Jain, David Waugh, Aideen C. Roddy, Ross G Murphy, Melissa J. LaBonte, Shambhavi Srivastava, Darragh G. McArt, Esther Baena
Publikováno v: Nar Genomics and Bioinformatics
Murphy, R, McArt, D, O'Sullivan, J, Waugh, D, Srivastava, S K, Roddy, A, Baena, E, Jain, S & LaBonte Wilson, M 2020, ' Prostate cancer heterogeneity assessment with multi-regional sampling and alignment-free methods ', NAR Genomics and Bioinformatics, vol. 2, no. 3, lqaa062 . https://doi.org/10.1093/nargab/lqaa062
Combining alignment-free methods for phylogenetic analysis with multi-regional sampling using next-generation sequencing can provide an assessment of intra-patient tumour heterogeneity. From multi-regional sampling divergent branching, we validated t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f18218a2e260284f886fb58d8386c0c
http://europepmc.org/articles/PMC7440682
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10
Defining the molecular evolution of extrauterine high grade serous carcinoma
Autor: W. Glenn McCluggage, Alan Gilmore, Ian Harley, Sharon L. Eddie, Paul B. Mullan, Clara McDermott, Jennifer Ferris, Laura Feeney, Aideen C. Roddy, James P Beirne, Nuala McCabe, Niamh E. Buckley, Paul G. O’Reilly, Ronny Drapkin, David Lyons Ewing, Richard D. Kennedy, Paula Coulter, Manuel Salto-Tellez, Philip D Dunne, Darragh G. McArt
Publikováno v: Gynecologic oncology. 155(2)
Objective High grade serous carcinoma (HGSC) is the most common and most aggressive, subtype of epithelial ovarian cancer. It presents as advanced stage disease with poor prognosis. Recent pathological evidence strongly suggests HGSC arises from the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da16f77d43edb7315babf47220635745
https://pubmed.ncbi.nlm.nih.gov/31493898
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