Zobrazeno 1 - 10 of 95 pro vyhledávání: '"M A, PEARL"'
1
Akademický článek
Aneuploidy tolerance caused by BRG1 loss allows chromosome gains and recovery of fitness
Autor: Federica Schiavoni, Pedro Zuazua-Villar, Theodoros I. Roumeliotis, Graeme Benstead-Hume, Mercedes Pardo, Frances M. G. Pearl, Jyoti S. Choudhary, Jessica A. Downs
Publikováno v: Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
Aneuploidy results in decreased cellular fitness in many species and model systems. However, aneuploidy is commonly found in cancer cells and often correlates with aggressive growth, suggesting that the impact of aneuploidy on cellular fitness is con
Externí odkaz: https://doaj.org/article/6eaf790b03964eb082453da384012a47
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2
Akademický článek
Predicting synthetic lethal interactions using conserved patterns in protein interaction networks.
Autor: Graeme Benstead-Hume, Xiangrong Chen, Suzanna R Hopkins, Karen A Lane, Jessica A Downs, Frances M G Pearl
Publikováno v: PLoS Computational Biology, Vol 15, Iss 4, p e1006888 (2019)
In response to a need for improved treatments, a number of promising novel targeted cancer therapies are being developed that exploit human synthetic lethal interactions. This is facilitating personalised medicine strategies in cancers where specific
Externí odkaz: https://doaj.org/article/7ff53ac2ee9f4c0ba91fa3e7ae6c0c3c
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4
Identifying the Impact of Inframe Insertions and Deletions on Protein Function in Cancer
Autor: Hanadi M. Baeissa, Frances M. G. Pearl
Publikováno v: Journal of Computational Biology. 27:786-795
Inframe insertion and deletion mutations (indels) are commonly observed in cancer samples accounting for over 1% of all reported mutations. Few somatic inframe indels have been clinically documented as pathogenic and at present there are few tools to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d93c53240924fe3265d1d9ccd7aa1270
https://doi.org/10.1089/cmb.2018.0192
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5
Biological network topology features predict gene dependencies in cancer cell-lines
Autor: Graeme Benstead-Hume, Sarah K Wooller, Joanna Renaut, Samantha Dias, Lisa Woodbine, Antony M Carr, Frances M G Pearl
Publikováno v: Bioinformatics Advances. 2
Motivation Protein–protein interaction (PPI) networks have been shown to successfully predict essential proteins. However, such networks are derived generically from experiments on many thousands of different cells. Consequently, conventional PPI n
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::374c4d227e52fdfe7b7f274596513eb9
https://doi.org/10.1093/bioadv/vbac084
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7
A combined bioinformatics and LC-MS based approach for the development and benchmarking of a comprehensive database for CNS proteins in Lymnaea stagnalis
Autor: Sarah K. Wooller, Murat Eravci, Aikaterini Anagnostopoulou, Michael Crossley, Benno Kuropka, György Kemenes, Ildikó Kemenes, Frances M. G. Pearl, Paul R. Benjamin
Applications of key technologies in biomedical research, such as qRT-PCR or LC-MS based proteomics, are generating large biological (-omics) data sets which are useful for the identification and quantification of biomarkers involved in molecular mech
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::46026899d0753574d1bc489b1c85409a
https://doi.org/10.1101/2021.05.03.442491
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8
Uncovering an allosteric mode of action for a selective inhibitor of human Bloom syndrome protein
Autor: Gareth Williams, Sarah R. Walker, Simon E. Ward, Charlotte E L Fisher, Yusuf I Ali, Laurence H. Pearl, Xiangrong Chen, Jessica Hudson, S. Mark Roe, Jessica R Booth, Antony W. Oliver, Mohan B. Rajasekaran, Frances M. G. Pearl, Raquel Arribas-Bosacoma
Publikováno v: eLife, Vol 10 (2021)
Chen, X, Ali, Y I, Fisher, C E L, Arribas-Bosacoma, R, Rajasekaran, M B, Williams, G, Walker, S, Booth, J R, Hudson, J J R, Mark Roe, S, Pearl, L H, Ward, S E, Pearl, F M G & Oliver, A W 2021, ' Uncovering an allosteric mode of action for a selective inhibitor of human bloom syndrome protein ', eLIFE, vol. 10, e65339 . https://doi.org/10.7554/eLife.65339
eLife
BLM (Bloom syndrome protein) is a RECQ-family helicase involved in the dissolution of complex DNA structures and repair intermediates. Synthetic lethality analysis implicates BLM as a promising target in a range of cancers with defects in the DNA dam
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7b9f5d9bb2c8248b64c99b0f679fee2
https://elifesciences.org/articles/65339
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