Format
Items per page
Sort by

Send to:

Choose Destination

Results: 1 to 20 of 65

1.

High temporal resolution of glucosyltransferase dependent and independent effects of Clostridium difficile toxins across multiple cell types.

D'Auria KM, Bloom MJ, Reyes Y, Gray MC, van Opstal EJ, Papin JA, Hewlett EL.

BMC Microbiol. 2015 Feb 4;15(1):7. doi: 10.1186/s12866-015-0361-4.

2.

Miniaturized plate readers for low-cost, high-throughput phenotypic screening.

Jensen PA, Dougherty BV, Moutinho TJ Jr, Papin JA.

J Lab Autom. 2015 Feb;20(1):51-5. doi: 10.1177/2211068214555414. Epub 2014 Nov 3.

3.

A thirteen-gene expression signature predicts survival of patients with pancreatic cancer and identifies new genes of interest.

Newhook TE, Blais EM, Lindberg JM, Adair SJ, Xin W, Lee JK, Papin JA, Parsons JT, Bauer TW.

PLoS One. 2014 Sep 2;9(9):e105631. doi: 10.1371/journal.pone.0105631. eCollection 2014.

4.

MetDraw: automated visualization of genome-scale metabolic network reconstructions and high-throughput data.

Jensen PA, Papin JA.

Bioinformatics. 2014 May 1;30(9):1327-8. doi: 10.1093/bioinformatics/btt758. Epub 2014 Jan 9.

5.

Clinical, molecular and genetic validation of a murine orthotopic xenograft model of pancreatic adenocarcinoma using fresh human specimens.

Walters DM, Stokes JB, Adair SJ, Stelow EB, Borgman CA, Lowrey BT, Xin W, Blais EM, Lee JK, Papin JA, Parsons JT, Bauer TW.

PLoS One. 2013 Oct 18;8(10):e77065. doi: 10.1371/journal.pone.0077065. eCollection 2013.

6.

Comparative metabolic systems analysis of pathogenic Burkholderia.

Bartell JA, Yen P, Varga JJ, Goldberg JB, Papin JA.

J Bacteriol. 2014 Jan;196(2):210-26. doi: 10.1128/JB.00997-13. Epub 2013 Oct 25.

7.

Novel multiscale modeling tool applied to Pseudomonas aeruginosa biofilm formation.

Biggs MB, Papin JA.

PLoS One. 2013 Oct 17;8(10):e78011. doi: 10.1371/journal.pone.0078011. eCollection 2013.

8.

MicroRNAs induced in melanoma treated with combination targeted therapy of Temsirolimus and Bevacizumab.

Wagenseller AG, Shada A, D'Auria KM, Murphy C, Sun D, Molhoek KR, Papin JA, Dutta A, Slingluff CL Jr.

J Transl Med. 2013 Sep 18;11:218. doi: 10.1186/1479-5876-11-218.

9.

In vivo physiological and transcriptional profiling reveals host responses to Clostridium difficile toxin A and toxin B.

D'Auria KM, Kolling GL, Donato GM, Warren CA, Gray MC, Hewlett EL, Papin JA.

Infect Immun. 2013 Oct;81(10):3814-24. doi: 10.1128/IAI.00869-13. Epub 2013 Jul 29.

10.

Multiscale computational models of complex biological systems.

Walpole J, Papin JA, Peirce SM.

Annu Rev Biomed Eng. 2013;15:137-54. doi: 10.1146/annurev-bioeng-071811-150104. Epub 2013 Apr 29. Review.

11.

A community-driven global reconstruction of human metabolism.

Thiele I, Swainston N, Fleming RM, Hoppe A, Sahoo S, Aurich MK, Haraldsdottir H, Mo ML, Rolfsson O, Stobbe MD, Thorleifsson SG, Agren R, Bölling C, Bordel S, Chavali AK, Dobson P, Dunn WB, Endler L, Hala D, Hucka M, Hull D, Jameson D, Jamshidi N, Jonsson JJ, Juty N, Keating S, Nookaew I, Le Novère N, Malys N, Mazein A, Papin JA, Price ND, Selkov E Sr, Sigurdsson MI, Simeonidis E, Sonnenschein N, Smallbone K, Sorokin A, van Beek JH, Weichart D, Goryanin I, Nielsen J, Westerhoff HV, Kell DB, Mendes P, Palsson BØ.

Nat Biotechnol. 2013 May;31(5):419-25. doi: 10.1038/nbt.2488. Epub 2013 Mar 3.

12.

Linking genome-scale metabolic modeling and genome annotation.

Blais EM, Chavali AK, Papin JA.

Methods Mol Biol. 2013;985:61-83. doi: 10.1007/978-1-62703-299-5_4.

13.

Mechanistic systems modeling to guide drug discovery and development.

Schmidt BJ, Papin JA, Musante CJ.

Drug Discov Today. 2013 Feb;18(3-4):116-27. doi: 10.1016/j.drudis.2012.09.003. Epub 2012 Sep 19. Review.

14.

Integration of expression data in genome-scale metabolic network reconstructions.

Blazier AS, Papin JA.

Front Physiol. 2012 Aug 6;3:299. doi: 10.3389/fphys.2012.00299. eCollection 2012.

15.

Matrix rigidity regulates cancer cell growth by modulating cellular metabolism and protein synthesis.

Tilghman RW, Blais EM, Cowan CR, Sherman NE, Grigera PR, Jeffery ED, Fox JW, Blackman BR, Tschumperlin DJ, Papin JA, Parsons JT.

PLoS One. 2012;7(5):e37231. doi: 10.1371/journal.pone.0037231. Epub 2012 May 18.

16.

Metabolic network analysis predicts efficacy of FDA-approved drugs targeting the causative agent of a neglected tropical disease.

Chavali AK, Blazier AS, Tlaxca JL, Jensen PA, Pearson RD, Papin JA.

BMC Syst Biol. 2012 Apr 27;6:27. doi: 10.1186/1752-0509-6-27.

17.

A metabolic network approach for the identification and prioritization of antimicrobial drug targets.

Chavali AK, D'Auria KM, Hewlett EL, Pearson RD, Papin JA.

Trends Microbiol. 2012 Mar;20(3):113-23. doi: 10.1016/j.tim.2011.12.004. Epub 2012 Jan 31. Review.

18.

Systems analysis of the transcriptional response of human ileocecal epithelial cells to Clostridium difficile toxins and effects on cell cycle control.

D'Auria KM, Donato GM, Gray MC, Kolling GL, Warren CA, Cave LM, Solga MD, Lannigan JA, Papin JA, Hewlett EL.

BMC Syst Biol. 2012 Jan 6;6:2. doi: 10.1186/1752-0509-6-2.

19.

Whole-genome metabolic network reconstruction and constraint-based modeling.

Haggart CR, Bartell JA, Saucerman JJ, Papin JA.

Methods Enzymol. 2011;500:411-33. doi: 10.1016/B978-0-12-385118-5.00021-9.

20.

TIGER: Toolbox for integrating genome-scale metabolic models, expression data, and transcriptional regulatory networks.

Jensen PA, Lutz KA, Papin JA.

BMC Syst Biol. 2011 Sep 23;5:147. doi: 10.1186/1752-0509-5-147.

Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

Loading ...
Write to the Help Desk