scholarly journals Identification of potential synthetic lethal genes to p53 using a computational biology approach

2013 ◽  
Vol 6 (1) ◽  
Author(s):  
Xiaosheng Wang ◽  
Richard Simon
2013 ◽  
Author(s):  
Shuobo Zhang ◽  
J Yu ◽  
N Wei ◽  
J Silva ◽  
J J. Kandel ◽  
...  

2008 ◽  
Vol 8 (8) ◽  
pp. 774-783 ◽  
Author(s):  
Shinji Mizuarai ◽  
Hiroki Irie ◽  
Dennis Schmatz ◽  
Hidehito Kotani

2020 ◽  
Author(s):  
Lalchung Nunga ◽  
Ed Schwalbe ◽  
Fadhel Lafta ◽  
Deborah Tweddle ◽  
John Maris ◽  
...  

2012 ◽  
Author(s):  
Hiroo Imai ◽  
Shunsuke Kato ◽  
Yasuhiro Sakamoto ◽  
Yuichi Kakudo ◽  
Shin Takahashi ◽  
...  

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Haoshen Yang ◽  
Wei Cui ◽  
Lihui Wang

Abstract The onset and development of malignant tumors are closely related to epigenetic modifications, and this has become a research hotspot. In recent years, a variety of epigenetic regulators have been discovered, and corresponding small molecule inhibitors have been developed, but their efficacy in solid tumors is generally poor. With the introduction of the first synthetic lethal drug (the PARP inhibitor olaparib in ovarian cancer with BRCA1 mutation), research into synthetic lethality has also become a hotspot. High-throughput screening with CRISPR-Cas9 and shRNA technology has revealed a large number of synthetic lethal pairs involving epigenetic-related synthetic lethal genes, such as those encoding SWI/SNF complex subunits, PRC2 complex subunits, SETD2, KMT2C, and MLL fusion proteins. In this review, we focus on epigenetic-related synthetic lethal mechanisms, including synthetic lethality between epigenetic mutations and epigenetic inhibitors, epigenetic mutations and non-epigenetic inhibitors, and oncogene mutations and epigenetic inhibitors.


2018 ◽  
Vol 26 (2) ◽  
Author(s):  
Dean A. Forbes

In a recent essay published in this journal, I illustrated the limitations one may encounter when sequencing texts temporally using s-curve analysis. I also introduced seriation, a more reliable method for temporal ordering much used in both archaeology and computational biology. Lacking independently ordered Biblical Hebrew (BH) data to assess the potential power of seriation in the context of diachronic studies, I used classic Middle English data originally compiled by Ellegård. In this addendum, I reintroduce and extend s-curve analysis, applying it to one rather noisy feature of Middle English. My results support Holmstedt’s assertion that s-curve analysis can be a useful diagnostic tool in diachronic studies. Upon quantitative comparison, however, the five-feature seriation results derived in my former paper are found to be seven times more accurate than the single-feature s-curve results presented here. 


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