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Items: 1 to 20 of 28

1.

Alterations in Lipid and Inositol Metabolisms in Two Dopaminergic Disorders.

Schulte EC, Altmaier E, Berger HS, Do KT, Kastenmüller G, Wahl S, Adamski J, Peters A, Krumsiek J, Suhre K, Haslinger B, Ceballos-Baumann A, Gieger C, Winkelmann J.

PLoS One. 2016 Jan 25;11(1):e0147129. doi: 10.1371/journal.pone.0147129. eCollection 2016.

2.

Immunogenic Stimulus for Germline Precursors of Antibodies that Engage the Influenza Hemagglutinin Receptor-Binding Site.

Schmidt AG, Do KT, McCarthy KR, Kepler TB, Liao HX, Moody MA, Haynes BF, Harrison SC.

Cell Rep. 2015 Dec 29;13(12):2842-50. doi: 10.1016/j.celrep.2015.11.063. Epub 2015 Dec 17.

3.

Neural Sensitivity to Smoking Stimuli Is Associated With Cigarette Craving in Adolescent Smokers.

Do KT, Galván A.

J Adolesc Health. 2016 Feb;58(2):186-94. doi: 10.1016/j.jadohealth.2015.10.004. Epub 2015 Dec 8.

PMID:
26679479
4.

Molecular Characterization and Expression Analysis of Creatine Kinase Muscle (CK-M) Gene in Horse.

Do KT, Cho HW, Badrinath N, Park JW, Choi JY, Chung YH, Lee HK, Song KD, Cho BW.

Asian-Australas J Anim Sci. 2015 Dec;28(12):1680-5. doi: 10.5713/ajas.15.0468.

5.

Gender-specific pathway differences in the human serum metabolome.

Krumsiek J, Mittelstrass K, Do KT, Stückler F, Ried J, Adamski J, Peters A, Illig T, Kronenberg F, Friedrich N, Nauck M, Pietzner M, Mook-Kanamori DO, Suhre K, Gieger C, Grallert H, Theis FJ, Kastenmüller G.

Metabolomics. 2015;11(6):1815-1833. Epub 2015 Aug 4.

6.

Erratum to: A systems view of type 2 diabetes-associated metabolic perturbations in saliva, blood and urine at different timescales of glycaemic control.

Yousri NA, Mook-Kanamori DO, El-Din Selim MM, Takiddin AH, Al-Homsi H, Al-Mahmoud KA, Karoly ED, Krumsiek J, Do KT, Neumaier U, Mook-Kanamori MJ, Rowe J, Chidiac OM, McKeon C, Al Muftah WA, Kader SA, Kastenmüller G, Suhre K.

Diabetologia. 2015 Sep;58(9):2199. doi: 10.1007/s00125-015-3682-9. No abstract available.

7.

A systems view of type 2 diabetes-associated metabolic perturbations in saliva, blood and urine at different timescales of glycaemic control.

Yousri NA, Mook-Kanamori DO, Selim MM, Takiddin AH, Al-Homsi H, Al-Mahmoud KA, Karoly ED, Krumsiek J, Do KT, Neumaier U, Mook-Kanamori MJ, Rowe J, Chidiac OM, McKeon C, Al Muftah WA, Kader SA, Kastenmüller G, Suhre K.

Diabetologia. 2015 Aug;58(8):1855-67. doi: 10.1007/s00125-015-3636-2. Epub 2015 Jun 7. Erratum in: Diabetologia. 2015 Sep;58(9):2199. Do, Kieu Thinh [corrected to Do, Kieu Trinh].

8.

Molecular Analysis of Alternative Transcripts of the Equine Cordon-Bleu WH2 Repeat Protein-Like 1 (COBLL1) Gene.

Park JW, Jang HJ, Shin S, Cho HW, Choi JY, Kim NY, Lee HK, Do KT, Song KD, Cho BW.

Asian-Australas J Anim Sci. 2015 Jun;28(6):870-5. doi: 10.5713/ajas.14.0722.

9.

FDA cigarette warning labels lower craving and elicit frontoinsular activation in adolescent smokers.

Do KT, Galván A.

Soc Cogn Affect Neurosci. 2015 Nov;10(11):1484-96. doi: 10.1093/scan/nsv038. Epub 2015 Apr 17.

PMID:
25887154
10.

Genome-wide analysis of DNA methylation before-and after exercise in the thoroughbred horse with MeDIP-Seq.

Gim JA, Hong CP, Kim DS, Moon JW, Choi Y, Eo J, Kwon YJ, Lee JR, Jung YD, Bae JH, Choi BH, Ko J, Song S, Ahn K, Ha HS, Yang YM, Lee HK, Park KD, Do KT, Han K, Yi JM, Cha HJ, Ayarpadikannan S, Cho BW, Bhak J, Kim HS.

Mol Cells. 2015 Mar;38(3):210-20. doi: 10.14348/molcells.2015.2138. Epub 2015 Jan 30.

11.

Network-based approach for analyzing intra- and interfluid metabolite associations in human blood, urine, and saliva.

Do KT, Kastenmüller G, Mook-Kanamori DO, Yousri NA, Theis FJ, Suhre K, Krumsiek J.

J Proteome Res. 2015 Feb 6;14(2):1183-94. doi: 10.1021/pr501130a. Epub 2014 Dec 9.

PMID:
25434815
12.

Copy number deletion has little impact on gene expression levels in racehorses.

Park KD, Kim H, Hwang JY, Lee CK, Do KT, Kim HS, Yang YM, Kwon YJ, Kim J, Kim HJ, Song KD, Oh JD, Kim H, Cho BW, Cho S, Lee HK.

Asian-Australas J Anim Sci. 2014 Sep;27(9):1345-54. doi: 10.5713/ajas.2013.13857.

13.

Thoroughbred Horse Single Nucleotide Polymorphism and Expression Database: HSDB.

Lee JH, Lee T, Lee HK, Cho BW, Shin DH, Do KT, Sung S, Kwak W, Kim HJ, Kim H, Cho S, Park KD.

Asian-Australas J Anim Sci. 2014 Sep;27(9):1236-43. doi: 10.5713/ajas.2013.13694.

14.

Genome-wide analysis of DNA methylation patterns in horse.

Lee JR, Hong CP, Moon JW, Jung YD, Kim DS, Kim TH, Gim JA, Bae JH, Choi Y, Eo J, Kwon YJ, Song S, Ko J, Yang YM, Lee HK, Park KD, Ahn K, Do KT, Ha HS, Han K, Yi JM, Cha HJ, Cho BW, Bhak J, Kim HS.

BMC Genomics. 2014 Jul 15;15:598. doi: 10.1186/1471-2164-15-598.

15.

LocTree3 prediction of localization.

Goldberg T, Hecht M, Hamp T, Karl T, Yachdav G, Ahmed N, Altermann U, Angerer P, Ansorge S, Balasz K, Bernhofer M, Betz A, Cizmadija L, Do KT, Gerke J, Greil R, Joerdens V, Hastreiter M, Hembach K, Herzog M, Kalemanov M, Kluge M, Meier A, Nasir H, Neumaier U, Prade V, Reeb J, Sorokoumov A, Troshani I, Vorberg S, Waldraff S, Zierer J, Nielsen H, Rost B.

Nucleic Acids Res. 2014 Jul;42(Web Server issue):W350-5. doi: 10.1093/nar/gku396. Epub 2014 May 21.

16.

Estimation of effective population size using single-nucleotide polymorphism (SNP) data in Jeju horse.

Do KT, Lee JH, Lee HK, Kim J, Park KD.

J Anim Sci Technol. 2014 Dec 5;56:28. doi: 10.1186/2055-0391-56-28. eCollection 2014.

17.

Peeling back the evolutionary layers of molecular mechanisms responsive to exercise-stress in the skeletal muscle of the racing horse.

Kim H, Lee T, Park W, Lee JW, Kim J, Lee BY, Ahn H, Moon S, Cho S, Do KT, Kim HS, Lee HK, Lee CK, Kong HS, Yang YM, Park J, Kim HM, Kim BC, Hwang S, Bhak J, Burt D, Park KD, Cho BW, Kim H.

DNA Res. 2013 Jun;20(3):287-98. doi: 10.1093/dnares/dst010. Epub 2013 Apr 11.

18.

Whole transcriptome analyses of six thoroughbred horses before and after exercise using RNA-Seq.

Park KD, Park J, Ko J, Kim BC, Kim HS, Ahn K, Do KT, Choi H, Kim HM, Song S, Lee S, Jho S, Kong HS, Yang YM, Jhun BH, Kim C, Kim TH, Hwang S, Bhak J, Lee HK, Cho BW.

BMC Genomics. 2012 Sep 12;13:473. doi: 10.1186/1471-2164-13-473.

19.

Analyses of porcine public SNPs in coding-gene regions by re-sequencing and phenotypic association studies.

Li X, Kim SW, Do KT, Ha YK, Lee YM, Yoon SH, Kim HB, Kim JJ, Choi BH, Kim KS.

Mol Biol Rep. 2011 Aug;38(6):3805-20. doi: 10.1007/s11033-010-0496-1. Epub 2010 Nov 24.

PMID:
21107721
20.

Development of an in silico coding gene SNP map in pigs.

Li XP, Hu ZL, Moon SJ, Do KT, Ha YK, Kim H, Byun MJ, Choi BH, Rothschild MF, Reecy JM, Kim KS.

Anim Genet. 2008 Aug;39(4):446-50. doi: 10.1111/j.1365-2052.2008.01727.x. Epub 2008 May 19.

PMID:
18492133
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