Kim J - Search Results

1

BiNGS!SL-seq: a bioinformatics pipeline for the analysis and interpretation of deep sequencing genome-wide synthetic lethal screen.

Kim J, Tan AC. Kim J, et al. Methods Mol Biol. 2012;802:389-98. doi: 10.1007/978-1-61779-400-1_26. Methods Mol Biol. 2012. PMID: 22130895

2

Kinome RNAi Screens Reveal Synergistic Targeting of MTOR and FGFR1 Pathways for Treatment of Lung Cancer and HNSCC.

Singleton KR, Hinz TK, Kleczko EK, Marek LA, Kwak J, Harp T, Kim J, Tan AC, Heasley LE. Singleton KR, et al. Among authors: kim j. Cancer Res. 2015 Oct 15;75(20):4398-406. doi: 10.1158/0008-5472.CAN-15-0509. Epub 2015 Sep 10. Cancer Res. 2015. PMID: 26359452 Free PMC article.

3

Functional RNAi Screens Define Distinct Protein Kinase Vulnerabilities in EGFR-Dependent HNSCC Cell Lines.

Hinz TK, Kleczko EK, Singleton KR, Calhoun J, Marek LA, Kim J, Tan AC, Heasley LE. Hinz TK, et al. Among authors: kim j. Mol Pharmacol. 2019 Dec;96(6):862-870. doi: 10.1124/mol.119.117804. Epub 2019 Sep 25. Mol Pharmacol. 2019. PMID: 31554698 Free PMC article.

4

Integrated genomic analyses identify WEE1 as a critical mediator of cell fate and a novel therapeutic target in acute myeloid leukemia.

Porter CC, Kim J, Fosmire S, Gearheart CM, van Linden A, Baturin D, Zaberezhnyy V, Patel PR, Gao D, Tan AC, DeGregori J. Porter CC, et al. Among authors: kim j. Leukemia. 2012 Jun;26(6):1266-76. doi: 10.1038/leu.2011.392. Epub 2012 Jan 13. Leukemia. 2012. PMID: 22289989 Free PMC article.

5

A survey of statistical software for analysing RNA-seq data.

Gao D, Kim J, Kim H, Phang TL, Selby H, Tan AC, Tong T. Gao D, et al. Among authors: kim h, kim j. Hum Genomics. 2010 Oct;5(1):56-60. doi: 10.1186/1479-7364-5-1-56. Hum Genomics. 2010. PMID: 21106489 Free PMC article.

6

A short survey of computational analysis methods in analysing ChIP-seq data.

Kim H, Kim J, Selby H, Gao D, Tong T, Phang TL, Tan AC. Kim H, et al. Among authors: kim j. Hum Genomics. 2011 Jan;5(2):117-23. doi: 10.1186/1479-7364-5-2-117. Hum Genomics. 2011. PMID: 21296745 Free PMC article. Review.

7

ATM and MET kinases are synthetic lethal with nongenotoxic activation of p53.

Sullivan KD, Padilla-Just N, Henry RE, Porter CC, Kim J, Tentler JJ, Eckhardt SG, Tan AC, DeGregori J, Espinosa JM. Sullivan KD, et al. Among authors: kim j. Nat Chem Biol. 2012 Jul;8(7):646-54. doi: 10.1038/nchembio.965. Epub 2012 Jun 3. Nat Chem Biol. 2012. PMID: 22660439 Free PMC article.

8

Tankyrase and the canonical Wnt pathway protect lung cancer cells from EGFR inhibition.

Casás-Selves M, Kim J, Zhang Z, Helfrich BA, Gao D, Porter CC, Scarborough HA, Bunn PA Jr, Chan DC, Tan AC, DeGregori J. Casás-Selves M, et al. Among authors: kim j. Cancer Res. 2012 Aug 15;72(16):4154-64. doi: 10.1158/0008-5472.CAN-11-2848. Epub 2012 Jun 27. Cancer Res. 2012. PMID: 22738915 Free PMC article.

9

A receptor tyrosine kinase network composed of fibroblast growth factor receptors, epidermal growth factor receptor, v-erb-b2 erythroblastic leukemia viral oncogene homolog 2, and hepatocyte growth factor receptor drives growth and survival of head and neck squamous carcinoma cell lines.

Singleton KR, Kim J, Hinz TK, Marek LA, Casás-Selves M, Hatheway C, Tan AC, DeGregori J, Heasley LE. Singleton KR, et al. Among authors: kim j. Mol Pharmacol. 2013 Apr;83(4):882-93. doi: 10.1124/mol.112.084111. Epub 2013 Jan 31. Mol Pharmacol. 2013. PMID: 23371912 Free PMC article.

10

A genetic screen identifies TCF3/E2A and TRIAP1 as pathway-specific regulators of the cellular response to p53 activation.

Andrysik Z, Kim J, Tan AC, Espinosa JM. Andrysik Z, et al. Among authors: kim j. Cell Rep. 2013 May 30;3(5):1346-54. doi: 10.1016/j.celrep.2013.04.014. Epub 2013 May 16. Cell Rep. 2013. PMID: 23684607 Free PMC article.

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