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Items: 1 to 20 of 23

1.

High-resolution analysis and functional mapping of cleavage sites and substrate proteins of furin in the human proteome.

Shiryaev SA, Chernov AV, Golubkov VS, Thomsen ER, Chudin E, Chee MS, Kozlov IA, Strongin AY, Cieplak P.

PLoS One. 2013;8(1):e54290. doi: 10.1371/journal.pone.0054290.

2.

A highly scalable peptide-based assay system for proteomics.

Kozlov IA, Thomsen ER, Munchel SE, Villegas P, Capek P, Gower AJ, Pond SJ, Chudin E, Chee MS.

PLoS One. 2012;7(6):e37441. doi: 10.1371/journal.pone.0037441.

3.

New details of HCV NS3/4A proteinase functionality revealed by a high-throughput cleavage assay.

Shiryaev SA, Thomsen ER, Cieplak P, Chudin E, Cheltsov AV, Chee MS, Kozlov IA, Strongin AY.

PLoS One. 2012;7(4):e35759. doi: 10.1371/journal.pone.0035759.

4.

IGFBP-4 tumor and serum levels are increased across all stages of epithelial ovarian cancer.

Mosig RA, Lobl M, Senturk E, Shah H, Cohen S, Chudin E, Fruscio R, Marchini S, D'Incalci M, Sachidanandam R, Dottino P, Martignetti JA.

J Ovarian Res. 2012 Jan 20;5(1):3. doi: 10.1186/1757-2215-5-3.

5.

Clinicopathologic and gene expression parameters predict liver cancer prognosis.

Hao K, Lamb J, Zhang C, Xie T, Wang K, Zhang B, Chudin E, Lee NP, Mao M, Zhong H, Greenawalt D, Ferguson MD, Ng IO, Sham PC, Poon RT, Molony C, Schadt EE, Dai H, Luk JM.

BMC Cancer. 2011 Nov 9;11:481. doi: 10.1186/1471-2407-11-481.

6.

Predictive genes in adjacent normal tissue are preferentially altered by sCNV during tumorigenesis in liver cancer and may rate limiting.

Lamb JR, Zhang C, Xie T, Wang K, Zhang B, Hao K, Chudin E, Fraser HB, Millstein J, Ferguson M, Suver C, Ivanovska I, Scott M, Philippar U, Bansal D, Zhang Z, Burchard J, Smith R, Greenawalt D, Cleary M, Derry J, Loboda A, Watters J, Poon RT, Fan ST, Yeung C, Lee NP, Guinney J, Molony C, Emilsson V, Buser-Doepner C, Zhu J, Friend S, Mao M, Shaw PM, Dai H, Luk JM, Schadt EE.

PLoS One. 2011;6(7):e20090. doi: 10.1371/journal.pone.0020090.

7.

A survey of the genetics of stomach, liver, and adipose gene expression from a morbidly obese cohort.

Greenawalt DM, Dobrin R, Chudin E, Hatoum IJ, Suver C, Beaulaurier J, Zhang B, Castro V, Zhu J, Sieberts SK, Wang S, Molony C, Heymsfield SB, Kemp DM, Reitman ML, Lum PY, Schadt EE, Kaplan LM.

Genome Res. 2011 Jul;21(7):1008-16. doi: 10.1101/gr.112821.110.

8.

Systematic genetic and genomic analysis of cytochrome P450 enzyme activities in human liver.

Yang X, Zhang B, Molony C, Chudin E, Hao K, Zhu J, Gaedigk A, Suver C, Zhong H, Leeder JS, Guengerich FP, Strom SC, Schuetz E, Rushmore TH, Ulrich RG, Slatter JG, Schadt EE, Kasarskis A, Lum PY.

Genome Res. 2010 Aug;20(8):1020-36. doi: 10.1101/gr.103341.109.

9.

Magnitude of stratification in human populations and impacts on genome wide association studies.

Hao K, Chudin E, Greenawalt D, Schadt EE.

PLoS One. 2010 Jan 13;5(1):e8695. doi: 10.1371/journal.pone.0008695.

10.

Common body mass index-associated variants confer risk of extreme obesity.

Cotsapas C, Speliotes EK, Hatoum IJ, Greenawalt DM, Dobrin R, Lum PY, Suver C, Chudin E, Kemp D, Reitman M, Voight BF, Neale BM, Schadt EE, Hirschhorn JN, Kaplan LM, Daly MJ; GIANT Consortium..

Hum Mol Genet. 2009 Sep 15;18(18):3502-7. doi: 10.1093/hmg/ddp292. Erratum in: Hum Mol Genet. 2010 Sep 15;19(18):3690-1.

11.

Accuracy of genome-wide imputation of untyped markers and impacts on statistical power for association studies.

Hao K, Chudin E, McElwee J, Schadt EE.

BMC Genet. 2009 Jun 16;10:27. doi: 10.1186/1471-2156-10-27.

12.

Mapping the genetic architecture of gene expression in human liver.

Schadt EE, Molony C, Chudin E, Hao K, Yang X, Lum PY, Kasarskis A, Zhang B, Wang S, Suver C, Zhu J, Millstein J, Sieberts S, Lamb J, GuhaThakurta D, Derry J, Storey JD, Avila-Campillo I, Kruger MJ, Johnson JM, Rohl CA, van Nas A, Mehrabian M, Drake TA, Lusis AJ, Smith RC, Guengerich FP, Strom SC, Schuetz E, Rushmore TH, Ulrich R.

PLoS Biol. 2008 May 6;6(5):e107. doi: 10.1371/journal.pbio.0060107.

13.

Differential allelic expression in the human genome: a robust approach to identify genetic and epigenetic cis-acting mechanisms regulating gene expression.

Serre D, Gurd S, Ge B, Sladek R, Sinnett D, Harmsen E, Bibikova M, Chudin E, Barker DL, Dickinson T, Fan JB, Hudson TJ.

PLoS Genet. 2008 Feb 29;4(2):e1000006. doi: 10.1371/journal.pgen.1000006.

14.

The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements.

MAQC Consortium., Shi L, Reid LH, Jones WD, Shippy R, Warrington JA, Baker SC, Collins PJ, de Longueville F, Kawasaki ES, Lee KY, Luo Y, Sun YA, Willey JC, Setterquist RA, Fischer GM, Tong W, Dragan YP, Dix DJ, Frueh FW, Goodsaid FM, Herman D, Jensen RV, Johnson CD, Lobenhofer EK, Puri RK, Schrf U, Thierry-Mieg J, Wang C, Wilson M, Wolber PK, Zhang L, Amur S, Bao W, Barbacioru CC, Lucas AB, Bertholet V, Boysen C, Bromley B, Brown D, Brunner A, Canales R, Cao XM, Cebula TA, Chen JJ, Cheng J, Chu TM, Chudin E, Corson J, Corton JC, Croner LJ, Davies C, Davison TS, Delenstarr G, Deng X, Dorris D, Eklund AC, Fan XH, Fang H, Fulmer-Smentek S, Fuscoe JC, Gallagher K, Ge W, Guo L, Guo X, Hager J, Haje PK, Han J, Han T, Harbottle HC, Harris SC, Hatchwell E, Hauser CA, Hester S, Hong H, Hurban P, Jackson SA, Ji H, Knight CR, Kuo WP, LeClerc JE, Levy S, Li QZ, Liu C, Liu Y, Lombardi MJ, Ma Y, Magnuson SR, Maqsodi B, McDaniel T, Mei N, Myklebost O, Ning B, Novoradovskaya N, Orr MS, Osborn TW, Papallo A, Patterson TA, Perkins RG, Peters EH, Peterson R, Philips KL, Pine PS, Pusztai L, Qian F, Ren H, Rosen M, Rosenzweig BA, Samaha RR, Schena M, Schroth GP, Shchegrova S, Smith DD, Staedtler F, Su Z, Sun H, Szallasi Z, Tezak Z, Thierry-Mieg D, Thompson KL, Tikhonova I, Turpaz Y, Vallanat B, Van C, Walker SJ, Wang SJ, Wang Y, Wolfinger R, Wong A, Wu J, Xiao C, Xie Q, Xu J, Yang W, Zhang L, Zhong S, Zong Y, Slikker W Jr.

Nat Biotechnol. 2006 Sep;24(9):1151-61.

15.

Using RNA sample titrations to assess microarray platform performance and normalization techniques.

Shippy R, Fulmer-Smentek S, Jensen RV, Jones WD, Wolber PK, Johnson CD, Pine PS, Boysen C, Guo X, Chudin E, Sun YA, Willey JC, Thierry-Mieg J, Thierry-Mieg D, Setterquist RA, Wilson M, Lucas AB, Novoradovskaya N, Papallo A, Turpaz Y, Baker SC, Warrington JA, Shi L, Herman D.

Nat Biotechnol. 2006 Sep;24(9):1123-31.

16.

Human embryonic stem cells have a unique epigenetic signature.

Bibikova M, Chudin E, Wu B, Zhou L, Garcia EW, Liu Y, Shin S, Plaia TW, Auerbach JM, Arking DE, Gonzalez R, Crook J, Davidson B, Schulz TC, Robins A, Khanna A, Sartipy P, Hyllner J, Vanguri P, Savant-Bhonsale S, Smith AK, Chakravarti A, Maitra A, Rao M, Barker DL, Loring JF, Fan JB.

Genome Res. 2006 Sep;16(9):1075-83.

17.

Genome wide profiling of human embryonic stem cells (hESCs), their derivatives and embryonal carcinoma cells to develop base profiles of U.S. Federal government approved hESC lines.

Liu Y, Shin S, Zeng X, Zhan M, Gonzalez R, Mueller FJ, Schwartz CM, Xue H, Li H, Baker SC, Chudin E, Barker DL, McDaniel TK, Oeser S, Loring JF, Mattson MP, Rao MS.

BMC Dev Biol. 2006 May 3;6:20.

18.

High-throughput DNA methylation profiling using universal bead arrays.

Bibikova M, Lin Z, Zhou L, Chudin E, Garcia EW, Wu B, Doucet D, Thomas NJ, Wang Y, Vollmer E, Goldmann T, Seifart C, Jiang W, Barker DL, Chee MS, Floros J, Fan JB.

Genome Res. 2006 Mar;16(3):383-93.

19.

A novel, high-performance random array platform for quantitative gene expression profiling.

Kuhn K, Baker SC, Chudin E, Lieu MH, Oeser S, Bennett H, Rigault P, Barker D, McDaniel TK, Chee MS.

Genome Res. 2004 Nov;14(11):2347-56.

20.

Quantitative gene expression profiling in formalin-fixed, paraffin-embedded tissues using universal bead arrays.

Bibikova M, Talantov D, Chudin E, Yeakley JM, Chen J, Doucet D, Wickham E, Atkins D, Barker D, Chee M, Wang Y, Fan JB.

Am J Pathol. 2004 Nov;165(5):1799-807.

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