Hurle MR - Search Results

1

Predominance of a proinflammatory phenotype in monocyte-derived macrophages from subjects with low plasma HDL-cholesterol.

Sarov-Blat L, Kiss RS, Haidar B, Kavaslar N, Jaye M, Bertiaux M, Steplewski K, Hurle MR, Sprecher D, McPherson R, Marcel YL. Sarov-Blat L, et al. Among authors: hurle mr. Arterioscler Thromb Vasc Biol. 2007 May;27(5):1115-22. doi: 10.1161/ATVBAHA.106.138990. Epub 2007 Feb 22. Arterioscler Thromb Vasc Biol. 2007. PMID: 17322100

2

Inhibition of p38 mitogen-activated protein kinase reduces inflammation after coronary vascular injury in humans.

Sarov-Blat L, Morgan JM, Fernandez P, James R, Fang Z, Hurle MR, Baidoo C, Willette RN, Lepore JJ, Jensen SE, Sprecher DL. Sarov-Blat L, et al. Among authors: hurle mr. Arterioscler Thromb Vasc Biol. 2010 Nov;30(11):2256-63. doi: 10.1161/ATVBAHA.110.209205. Epub 2010 Aug 5. Arterioscler Thromb Vasc Biol. 2010. PMID: 20689074 Clinical Trial.

3

Correlation of protein and gene expression profiles of inflammatory proteins after endotoxin challenge in human subjects.

Prabhakar U, Conway TM, Murdock P, Mooney JL, Clark S, Hedge P, Bond BC, Jazwinska EC, Barnes MR, Tobin F, Damian-Iordachi V, Greller L, Hurle M, Stubbs AP, Li Z, Valoret EI, Erickson-Miller C, Cass L, Levitt B, Davis HM, Jorkasky DK, Williams WV. Prabhakar U, et al. Among authors: hurle m. DNA Cell Biol. 2005 Jul;24(7):410-31. doi: 10.1089/dna.2005.24.410. DNA Cell Biol. 2005. PMID: 16008510 Clinical Trial.

4

Revealing transforming growth factor-beta signaling transduction in human kidney by gene expression data mining.

Hu G, Jain K, Hurle M. Hu G, et al. OMICS. 2005 Fall;9(3):266-80. doi: 10.1089/omi.2005.9.266. OMICS. 2005. PMID: 16209640

5

Trial watch: Impact of genetically supported target selection on R&D productivity.

Hurle MR, Nelson MR, Agarwal P, Cardon LR. Hurle MR, et al. Nat Rev Drug Discov. 2016 Aug 30;15(9):596-597. doi: 10.1038/nrd.2016.164. Nat Rev Drug Discov. 2016. PMID: 27573226 No abstract available.

6

Computational drug repositioning: from data to therapeutics.

Hurle MR, Yang L, Xie Q, Rajpal DK, Sanseau P, Agarwal P. Hurle MR, et al. Clin Pharmacol Ther. 2013 Apr;93(4):335-41. doi: 10.1038/clpt.2013.1. Epub 2013 Jan 15. Clin Pharmacol Ther. 2013. PMID: 23443757 Review.

7

Systematic interrogation of diverse Omic data reveals interpretable, robust, and generalizable transcriptomic features of clinically successful therapeutic targets.

Rouillard AD, Hurle MR, Agarwal P. Rouillard AD, et al. Among authors: hurle mr. PLoS Comput Biol. 2018 May 21;14(5):e1006142. doi: 10.1371/journal.pcbi.1006142. eCollection 2018 May. PLoS Comput Biol. 2018. PMID: 29782487 Free PMC article.

8

Impact of genetically supported target selection on R&D productivity.

Hurle MR, Nelson MR, Agarwal P, Cardon LR. Hurle MR, et al. Nat Rev Drug Discov. 2016 Sep 12;15(9):596-597. doi: 10.1038/nrd.2016.187. Nat Rev Drug Discov. 2016. PMID: 28184040

9

Predicting clinically promising therapeutic hypotheses using tensor factorization.

Yao J, Hurle MR, Nelson MR, Agarwal P. Yao J, et al. Among authors: hurle mr. BMC Bioinformatics. 2019 Feb 8;20(1):69. doi: 10.1186/s12859-019-2664-1. BMC Bioinformatics. 2019. PMID: 30736745 Free PMC article.

10

Combined Analysis of Phenotypic and Target-Based Screening in Assay Networks.

Swamidass SJ, Schillebeeckx CN, Matlock M, Hurle MR, Agarwal P. Swamidass SJ, et al. Among authors: hurle mr. J Biomol Screen. 2014 Jun;19(5):782-90. doi: 10.1177/1087057114523068. Epub 2014 Feb 21. J Biomol Screen. 2014. PMID: 24563424

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