PARP1 rs1805407 Increases Sensitivity to PARP1 Inhibitors in Cancer Cells Suggesting an Improved Therapeutic Strategy-Reference-Cited by-同舟云学术

PARP1 rs1805407 Increases Sensitivity to PARP1 Inhibitors in Cancer Cells Suggesting an Improved Therapeutic Strategy

Published:2019-03-01 Issue:1 Volume:9 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Abecassis Irina,Sedgewick Andrew J.,Romkes Marjorie,Buch Shama,Nukui Tomoko,Kapetanaki Maria G.,Vogt Andreas,Kirkwood John M.,Benos Panayiotis V.^ORCID,Tawbi Hussein

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-019-39542-2.pdf

Reference42 articles.

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2. Bryant, H. E. et al. Specific killing of BRCA2-deficient tumours with inhibitors of poly(ADP-ribose) polymerase. Nature 434, 913–917, https://doi.org/10.1038/nature03443 (2005).

3. Farmer, H. et al. Targeting the DNA repair defect in BRCA mutant cells as a therapeutic strategy. Nature 434, 917–921, https://doi.org/10.1038/nature03445 (2005).

4. Sedgewick, A. J., Shi, I., Donovan, R. M. & Benos, P. V. Learning mixed graphical models with separate sparsity parameters and stability-based model selection. BMC Bioinformatics 17(Suppl 5), 175, https://doi.org/10.1186/s12859-016-1039-0 (2016).

5. Sedgewick, A. J. et al. Mixed Graphical Models for Integrative Causal Analysis with Application to Chronic Lung Disease Diagnosis and Prognosis. Bioinformatics. https://doi.org/10.1093/bioinformatics/bty769 (2018).

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