Format
Sort by
Items per page

Send to

Choose Destination

Best matches for Máthé E[au]:

Search results

Items: 1 to 50 of 66

1.

Effects of Electronic Cigarette Constituents on the Human Lung: A Pilot Clinical Trial.

Song MA, Reisinger SA, Freudenheim JL, Brasky TM, Mathé EA, McElroy JP, Nickerson QA, Weng DY, Wewers MD, Shields PG.

Cancer Prev Res (Phila). 2019 Oct 16. pii: canprevres.0400.2019. doi: 10.1158/1940-6207.CAPR-19-0400. [Epub ahead of print]

PMID:
31619441
2.

The metaRbolomics Toolbox in Bioconductor and beyond.

Stanstrup J, Broeckling CD, Helmus R, Hoffmann N, Mathé E, Naake T, Nicolotti L, Peters K, Rainer J, Salek RM, Schulze T, Schymanski EL, Stravs MA, Thévenot EA, Treutler H, Weber RJM, Willighagen E, Witting M, Neumann S.

Metabolites. 2019 Sep 23;9(10). pii: E200. doi: 10.3390/metabo9100200. Review.

3.

Metabolomics Analytics Workflow for Epidemiological Research: Perspectives from the Consortium of Metabolomics Studies (COMETS).

Playdon MC, Joshi AD, Tabung FK, Cheng S, Henglin M, Kim A, Lin T, van Roekel EH, Huang J, Krumsiek J, Wang Y, Mathé E, Temprosa M, Moore S, Chawes B, Eliassen AH, Gsur A, Gunter MJ, Harada S, Langenberg C, Oresic M, Perng W, Seow WJ, Zeleznik OA.

Metabolites. 2019 Jul 17;9(7). pii: E145. doi: 10.3390/metabo9070145.

4.

Integration of Metabolomic and Other Omics Data in Population-Based Study Designs: An Epidemiological Perspective.

Chu SH, Huang M, Kelly RS, Benedetti E, Siddiqui JK, Zeleznik OA, Pereira A, Herrington D, Wheelock CE, Krumsiek J, McGeachie M, Moore SC, Kraft P, Mathé E, Lasky-Su J; Consortium of Metabolomics Studies Statistics Working Group.

Metabolites. 2019 Jun 18;9(6). pii: E117. doi: 10.3390/metabo9060117. Review.

5.

The Consortium of Metabolomics Studies (COMETS): Metabolomics in 47 Prospective Cohort Studies.

Yu B, Zanetti KA, Temprosa M, Albanes D, Appel N, Barrera CB, Ben-Shlomo Y, Boerwinkle E, Casas JP, Clish C, Dale C, Dehghan A, Derkach A, Eliassen AH, Elliott P, Fahy E, Gieger C, Gunter MJ, Harada S, Harris T, Herr DR, Herrington D, Hirschhorn JN, Hoover E, Hsing AW, Johansson M, Kelly RS, Khoo CM, Kivimäki M, Kristal BS, Langenberg C, Lasky-Su J, Lawlor DA, Lotta LA, Mangino M, Le Marchand L, Mathé E, Matthews CE, Menni C, Mucci LA, Murphy R, Oresic M, Orwoll E, Ose J, Pereira AC, Playdon MC, Poston L, Price J, Qi Q, Rexrode K, Risch A, Sampson J, Seow WJ, Sesso HD, Shah SH, Shu XO, Smith GCS, Sovio U, Stevens VL, Stolzenberg-Solomon R, Takebayashi T, Tillin T, Travis R, Tzoulaki I, Ulrich CM, Vasan RS, Verma M, Wang Y, Wareham NJ, Wong A, Younes N, Zhao H, Zheng W, Moore SC.

Am J Epidemiol. 2019 Jun 1;188(6):991-1012. doi: 10.1093/aje/kwz028.

6.

Diosgenin and Its Fenugreek Based Biological Matrix Affect Insulin Resistance and Anabolic Hormones in a Rat Based Insulin Resistance Model.

Kiss R, Pesti-Asbóth G, Szarvas MM, Stündl L, Cziáky Z, Hegedűs C, Kovács D, Badale A, Máthé E, Szilvássy Z, Remenyik J.

Biomed Res Int. 2019 Apr 4;2019:7213913. doi: 10.1155/2019/7213913. eCollection 2019.

7.

Integration of Metabolomics and Transcriptomics to Identify Gene-Metabolite Relationships Specific to Phenotype.

Patt A, Siddiqui J, Zhang B, Mathé E.

Methods Mol Biol. 2019;1928:441-468. doi: 10.1007/978-1-4939-9027-6_23.

PMID:
30725469
8.

Electronic versus Combustible Cigarette Effects on Inflammasome Component Release into Human Lung.

Tsai M, Song MA, McAndrew C, Brasky TM, Freudenheim JL, Mathé E, McElroy J, Reisinger SA, Shields PG, Wewers MD.

Am J Respir Crit Care Med. 2019 Apr 1;199(7):922-925. doi: 10.1164/rccm.201808-1467LE. No abstract available.

PMID:
30608866
9.

The Omics Revolution Continues: The Maturation of High-Throughput Biological Data Sources.

Mathé E, Hays JL, Stover DG, Chen JL.

Yearb Med Inform. 2018 Aug;27(1):211-222. doi: 10.1055/s-0038-1667085. Epub 2018 Aug 29. Review.

10.

Electronic Cigarettes and the Lung Proteome.

Shields PG, Song MA, Freudenheim JL, Brasky TM, Mathe E, McElroy JP, Hummon AB, Wewers MD.

Am J Respir Crit Care Med. 2018 Nov 15;198(10):1350-1351. doi: 10.1164/rccm.201806-1151LE. No abstract available.

PMID:
30153045
11.

Matchmaking in Bioinformatics.

Mathé E, Busby B, Piontkivska H; Team of Developers.

F1000Res. 2018 Feb 9;7. pii: ISCB Comm J-171. doi: 10.12688/f1000research.13705.1. eCollection 2018.

12.

IntLIM: integration using linear models of metabolomics and gene expression data.

Siddiqui JK, Baskin E, Liu M, Cantemir-Stone CZ, Zhang B, Bonneville R, McElroy JP, Coombes KR, Mathé EA.

BMC Bioinformatics. 2018 Mar 5;19(1):81. doi: 10.1186/s12859-018-2085-6.

13.

RaMP: A Comprehensive Relational Database of Metabolomics Pathways for Pathway Enrichment Analysis of Genes and Metabolites.

Zhang B, Hu S, Baskin E, Patt A, Siddiqui JK, Mathé EA.

Metabolites. 2018 Feb 22;8(1). pii: E16. doi: 10.3390/metabo8010016.

14.

BRD4 Profiling Identifies Critical Chronic Lymphocytic Leukemia Oncogenic Circuits and Reveals Sensitivity to PLX51107, a Novel Structurally Distinct BET Inhibitor.

Ozer HG, El-Gamal D, Powell B, Hing ZA, Blachly JS, Harrington B, Mitchell S, Grieselhuber NR, Williams K, Lai TH, Alinari L, Baiocchi RA, Brinton L, Baskin E, Cannon M, Beaver L, Goettl VM, Lucas DM, Woyach JA, Sampath D, Lehman AM, Yu L, Zhang J, Ma Y, Zhang Y, Spevak W, Shi S, Severson P, Shellooe R, Carias H, Tsang G, Dong K, Ewing T, Marimuthu A, Tantoy C, Walters J, Sanftner L, Rezaei H, Nespi M, Matusow B, Habets G, Ibrahim P, Zhang C, Mathé EA, Bollag G, Byrd JC, Lapalombella R.

Cancer Discov. 2018 Apr;8(4):458-477. doi: 10.1158/2159-8290.CD-17-0902. Epub 2018 Jan 31.

15.

An overview of natural antimicrobials role in food.

Pisoschi AM, Pop A, Georgescu C, Turcuş V, Olah NK, Mathe E.

Eur J Med Chem. 2018 Jan 1;143:922-935. doi: 10.1016/j.ejmech.2017.11.095. Epub 2017 Dec 2. Review.

PMID:
29227932
16.

Myc Regulates Chromatin Decompaction and Nuclear Architecture during B Cell Activation.

Kieffer-Kwon KR, Nimura K, Rao SSP, Xu J, Jung S, Pekowska A, Dose M, Stevens E, Mathe E, Dong P, Huang SC, Ricci MA, Baranello L, Zheng Y, Tomassoni Ardori F, Resch W, Stavreva D, Nelson S, McAndrew M, Casellas A, Finn E, Gregory C, St Hilaire BG, Johnson SM, Dubois W, Cosma MP, Batchelor E, Levens D, Phair RD, Misteli T, Tessarollo L, Hager G, Lakadamyali M, Liu Z, Floer M, Shroff H, Aiden EL, Casellas R.

Mol Cell. 2017 Aug 17;67(4):566-578.e10. doi: 10.1016/j.molcel.2017.07.013. Epub 2017 Aug 10.

17.

ALTRE: workflow for defining ALTered regulatory elements using chromatin accessibility data.

Baskin E, Farouni R, Mathé EA.

Bioinformatics. 2017 Aug 15;33(16):2609. doi: 10.1093/bioinformatics/btx386. No abstract available.

18.

A Review of Pulmonary Toxicity of Electronic Cigarettes in the Context of Smoking: A Focus on Inflammation.

Shields PG, Berman M, Brasky TM, Freudenheim JL, Mathe E, McElroy JP, Song MA, Wewers MD.

Cancer Epidemiol Biomarkers Prev. 2017 Aug;26(8):1175-1191. doi: 10.1158/1055-9965.EPI-17-0358. Epub 2017 Jun 22. Review.

19.

ALTRE: workflow for defining ALTered Regulatory Elements using chromatin accessibility data.

Baskin E, Farouni R, Mathé EA.

Bioinformatics. 2017 Mar 1;33(5):740-742. doi: 10.1093/bioinformatics/btw688. Erratum in: Bioinformatics. 2017 Aug 15;33(16):2609.

20.

Experimental and Study Design Considerations for Uncovering Oncometabolites.

Haznadar M, Mathé EA.

Methods Mol Biol. 2017;1513:37-47. Review.

PMID:
27807829
21.

Urinary Metabolite Risk Biomarkers of Lung Cancer: A Prospective Cohort Study.

Haznadar M, Cai Q, Krausz KW, Bowman ED, Margono E, Noro R, Thompson MD, Mathé EA, Munro HM, Steinwandel MD, Gonzalez FJ, Blot WJ, Harris CC.

Cancer Epidemiol Biomarkers Prev. 2016 Jun;25(6):978-86. doi: 10.1158/1055-9965.EPI-15-1191. Epub 2016 Mar 24.

22.

An Integrated Prognostic Classifier for Stage I Lung Adenocarcinoma Based on mRNA, microRNA, and DNA Methylation Biomarkers.

Robles AI, Arai E, Mathé EA, Okayama H, Schetter AJ, Brown D, Petersen D, Bowman ED, Noro R, Welsh JA, Edelman DC, Stevenson HS, Wang Y, Tsuchiya N, Kohno T, Skaug V, Mollerup S, Haugen A, Meltzer PS, Yokota J, Kanai Y, Harris CC.

J Thorac Oncol. 2015 Jul;10(7):1037-48. doi: 10.1097/JTO.0000000000000560.

23.

Combination of Pharmacophore Matching, 2D Similarity Search, and In Vitro Biological Assays in the Selection of Potential 5-HT6 Antagonists from Large Commercial Repositories.

Dobi K, Flachner B, Pukáncsik M, Máthé E, Bognár M, Szaszkó M, Magyar C, Hajdú I, Lőrincz Z, Simon I, Fülöp F, Cseh S, Dormán G.

Chem Biol Drug Des. 2015 Oct;86(4):864-80. doi: 10.1111/cbdd.12563. Epub 2015 Apr 30.

PMID:
25823681
24.

B cell super-enhancers and regulatory clusters recruit AID tumorigenic activity.

Qian J, Wang Q, Dose M, Pruett N, Kieffer-Kwon KR, Resch W, Liang G, Tang Z, Mathé E, Benner C, Dubois W, Nelson S, Vian L, Oliveira TY, Jankovic M, Hakim O, Gazumyan A, Pavri R, Awasthi P, Song B, Liu G, Chen L, Zhu S, Feigenbaum L, Staudt L, Murre C, Ruan Y, Robbiani DF, Pan-Hammarström Q, Nussenzweig MC, Casellas R.

Cell. 2014 Dec 18;159(7):1524-37. doi: 10.1016/j.cell.2014.11.013. Epub 2014 Dec 4.

25.

Noninvasive urinary metabolomic profiling identifies diagnostic and prognostic markers in lung cancer.

Mathé EA, Patterson AD, Haznadar M, Manna SK, Krausz KW, Bowman ED, Shields PG, Idle JR, Smith PB, Anami K, Kazandjian DG, Hatzakis E, Gonzalez FJ, Harris CC.

Cancer Res. 2014 Jun 15;74(12):3259-70. doi: 10.1158/0008-5472.CAN-14-0109. Epub 2014 Apr 15.

26.

Interactome maps of mouse gene regulatory domains reveal basic principles of transcriptional regulation.

Kieffer-Kwon KR, Tang Z, Mathe E, Qian J, Sung MH, Li G, Resch W, Baek S, Pruett N, Grøntved L, Vian L, Nelson S, Zare H, Hakim O, Reyon D, Yamane A, Nakahashi H, Kovalchuk AL, Zou J, Joung JK, Sartorelli V, Wei CL, Ruan X, Hager GL, Ruan Y, Casellas R.

Cell. 2013 Dec 19;155(7):1507-20. doi: 10.1016/j.cell.2013.11.039.

27.

MYC-driven accumulation of 2-hydroxyglutarate is associated with breast cancer prognosis.

Terunuma A, Putluri N, Mishra P, Mathé EA, Dorsey TH, Yi M, Wallace TA, Issaq HJ, Zhou M, Killian JK, Stevenson HS, Karoly ED, Chan K, Samanta S, Prieto D, Hsu TY, Kurley SJ, Putluri V, Sonavane R, Edelman DC, Wulff J, Starks AM, Yang Y, Kittles RA, Yfantis HG, Lee DH, Ioffe OB, Schiff R, Stephens RM, Meltzer PS, Veenstra TD, Westbrook TF, Sreekumar A, Ambs S.

J Clin Invest. 2014 Jan;124(1):398-412. doi: 10.1172/JCI71180. Epub 2013 Dec 9.

28.

microRNA and inflammatory gene expression as prognostic marker for overall survival in esophageal squamous cell carcinoma.

Zhao Y, Schetter AJ, Yang GB, Nguyen G, Mathé EA, Li P, Cai H, Yu L, Liu F, Hang D, Yang H, Wang XW, Ke Y, Harris CC.

Int J Cancer. 2013 Jun 15;132(12):2901-9. doi: 10.1002/ijc.27954. Epub 2012 Dec 17.

29.

DNA damage defines sites of recurrent chromosomal translocations in B lymphocytes.

Hakim O, Resch W, Yamane A, Klein I, Kieffer-Kwon KR, Jankovic M, Oliveira T, Bothmer A, Voss TC, Ansarah-Sobrinho C, Mathe E, Liang G, Cobell J, Nakahashi H, Robbiani DF, Nussenzweig A, Hager GL, Nussenzweig MC, Casellas R.

Nature. 2012 Feb 7;484(7392):69-74. doi: 10.1038/nature10909.

30.

Inflammation regulates microRNA expression in cooperation with p53 and nitric oxide.

Mathé E, Nguyen GH, Funamizu N, He P, Moake M, Croce CM, Hussain SP.

Int J Cancer. 2012 Aug 1;131(3):760-5. doi: 10.1002/ijc.26403. Epub 2011 Nov 1.

31.

The association of microRNA expression with prognosis and progression in early-stage, non-small cell lung adenocarcinoma: a retrospective analysis of three cohorts.

Saito M, Schetter AJ, Mollerup S, Kohno T, Skaug V, Bowman ED, Mathé EA, Takenoshita S, Yokota J, Haugen A, Harris CC.

Clin Cancer Res. 2011 Apr 1;17(7):1875-82. doi: 10.1158/1078-0432.CCR-10-2961. Epub 2011 Feb 24.

32.

Inflammatory and microRNA gene expression as prognostic classifier of Barrett's-associated esophageal adenocarcinoma.

Nguyen GH, Schetter AJ, Chou DB, Bowman ED, Zhao R, Hawkes JE, Mathé EA, Kumamoto K, Zhao Y, Budhu A, Hagiwara N, Wang XW, Miyashita M, Casson AG, Harris CC.

Clin Cancer Res. 2010 Dec 1;16(23):5824-34. doi: 10.1158/1078-0432.CCR-10-1110. Epub 2010 Oct 14.

33.

MicroRNA expression in squamous cell carcinoma and adenocarcinoma of the esophagus: associations with survival.

Mathé EA, Nguyen GH, Bowman ED, Zhao Y, Budhu A, Schetter AJ, Braun R, Reimers M, Kumamoto K, Hughes D, Altorki NK, Casson AG, Liu CG, Wang XW, Yanaihara N, Hagiwara N, Dannenberg AJ, Miyashita M, Croce CM, Harris CC.

Clin Cancer Res. 2009 Oct 1;15(19):6192-200. doi: 10.1158/1078-0432.CCR-09-1467. Epub 2009 Sep 29.

34.

Association of inflammation-related and microRNA gene expression with cancer-specific mortality of colon adenocarcinoma.

Schetter AJ, Nguyen GH, Bowman ED, Mathé EA, Yuen ST, Hawkes JE, Croce CM, Leung SY, Harris CC.

Clin Cancer Res. 2009 Sep 15;15(18):5878-87. doi: 10.1158/1078-0432.CCR-09-0627. Epub 2009 Sep 8.

35.

p53 isoforms Delta133p53 and p53beta are endogenous regulators of replicative cellular senescence.

Fujita K, Mondal AM, Horikawa I, Nguyen GH, Kumamoto K, Sohn JJ, Bowman ED, Mathe EA, Schetter AJ, Pine SR, Ji H, Vojtesek B, Bourdon JC, Lane DP, Harris CC.

Nat Cell Biol. 2009 Sep;11(9):1135-42. doi: 10.1038/ncb1928. Epub 2009 Aug 23.

36.

Modeling the functional consequences of single residue replacements in bacteriophage f1 gene V protein.

Masso M, Mathe E, Parvez N, Hijazi K, Vaisman II.

Protein Eng Des Sel. 2009 Nov;22(11):665-71. doi: 10.1093/protein/gzp050. Epub 2009 Aug 18.

PMID:
19690089
37.

MiR-21 is an EGFR-regulated anti-apoptotic factor in lung cancer in never-smokers.

Seike M, Goto A, Okano T, Bowman ED, Schetter AJ, Horikawa I, Mathe EA, Jen J, Yang P, Sugimura H, Gemma A, Kudoh S, Croce CM, Harris CC.

Proc Natl Acad Sci U S A. 2009 Jul 21;106(29):12085-90. doi: 10.1073/pnas.0905234106. Epub 2009 Jul 13.

38.

Nitric oxide is a key component in inflammation-accelerated tumorigenesis.

Hussain SP, He P, Subleski J, Hofseth LJ, Trivers GE, Mechanic L, Hofseth AB, Bernard M, Schwank J, Nguyen G, Mathe E, Djurickovic D, Haines D, Weiss J, Back T, Gruys E, Laubach VE, Wiltrout RH, Harris CC.

Cancer Res. 2008 Sep 1;68(17):7130-6. doi: 10.1158/0008-5472.CAN-08-0410.

39.

Impact of mutant p53 functional properties on TP53 mutation patterns and tumor phenotype: lessons from recent developments in the IARC TP53 database.

Petitjean A, Mathe E, Kato S, Ishioka C, Tavtigian SV, Hainaut P, Olivier M.

Hum Mutat. 2007 Jun;28(6):622-9.

PMID:
17311302
40.

Computational approaches for predicting the biological effect of p53 missense mutations: a comparison of three sequence analysis based methods.

Mathe E, Olivier M, Kato S, Ishioka C, Hainaut P, Tavtigian SV.

Nucleic Acids Res. 2006 Mar 6;34(5):1317-25. Print 2006.

41.

Predicting the transactivation activity of p53 missense mutants using a four-body potential score derived from Delaunay tessellations.

Mathe E, Olivier M, Kato S, Ishioka C, Vaisman I, Hainaut P.

Hum Mutat. 2006 Feb;27(2):163-72.

PMID:
16395672
42.

The Drosophila Cdc6/18 protein has functions in both early and late S phase in S2 cells.

Crevel G, Mathe E, Cotterill S.

J Cell Sci. 2005 Jun 1;118(Pt 11):2451-9.

43.

The E2-C vihar is required for the correct spatiotemporal proteolysis of cyclin B and itself undergoes cyclical degradation.

Máthé E, Kraft C, Giet R, Deák P, Peters JM, Glover DM.

Curr Biol. 2004 Oct 5;14(19):1723-33.

44.
45.

RASSF1A, the new guardian of mitosis.

Máthé E.

Nat Genet. 2004 Feb;36(2):117-8. No abstract available.

PMID:
14752520
46.

Immunocytological analysis of oogenesis.

Máthé E.

Methods Mol Biol. 2004;247:89-127. No abstract available.

PMID:
14707344
47.
50.

Supplemental Content

Support Center