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Items: 1 to 50 of 291

1.

Detection of Secondary Metabolites as Biomarkers for the Early Diagnosis and Prevention of Type 2 Diabetes.

Al-Aama JY, Al Mahdi HB, Salama MA, Bakur KH, Alhozali A, Mosli HH, Bahijri SM, Bahieldin A, Willmitzer L, Edris S.

Diabetes Metab Syndr Obes. 2019 Dec 17;12:2675-2684. doi: 10.2147/DMSO.S215528. eCollection 2019.

2.

Characterizing the involvement of FaMADS9 in the regulation of strawberry fruit receptacle development.

Vallarino JG, Merchante C, Sánchez-Sevilla JF, de Luis Balaguer MA, Pott DM, Ariza MT, Casañal A, Posé D, Vioque A, Amaya I, Willmitzer L, Solano R, Sozzani R, Fernie AR, Botella MA, Giovannoni JJ, Valpuesta V, Osorio S.

Plant Biotechnol J. 2019 Sep 18. doi: 10.1111/pbi.13257. [Epub ahead of print]

3.

Metabolome signature of autism in the human prefrontal cortex.

Kurochkin I, Khrameeva E, Tkachev A, Stepanova V, Vanyushkina A, Stekolshchikova E, Li Q, Zubkov D, Shichkova P, Halene T, Willmitzer L, Giavalisco P, Akbarian S, Khaitovich P.

Commun Biol. 2019 Jun 21;2:234. doi: 10.1038/s42003-019-0485-4. eCollection 2019.

4.

Characterization of three different classes of non-fermented teas using untargeted metabolomics.

Zhang Q, Wu S, Li Y, Liu M, Ni K, Yi X, Shi Y, Ma L, Willmitzer L, Ruan J.

Food Res Int. 2019 Jul;121:697-704. doi: 10.1016/j.foodres.2018.12.042. Epub 2018 Dec 25.

PMID:
31108798
5.

Publisher Correction: Lipidome determinants of maximal lifespan in mammals.

Bozek K, Khrameeva EE, Reznick J, Omerbašić D, Bennett NC, Lewin GR, Azpurua J, Gorbunova V, Seluanov A, Regnard P, Wanert F, Marchal J, Pifferi F, Aujard F, Liu Z, Shi P, Pääbo S, Schroeder F, Willmitzer L, Giavalisco P, Khaitovich P.

Sci Rep. 2019 May 1;9(1):6972. doi: 10.1038/s41598-019-43122-9.

6.

Large-scale metabolite quantitative trait locus analysis provides new insights for high-quality maize improvement.

Li K, Wen W, Alseekh S, Yang X, Guo H, Li W, Wang L, Pan Q, Zhan W, Liu J, Li Y, Wu X, Brotman Y, Willmitzer L, Li J, Fernie AR, Yan J.

Plant J. 2019 Jul;99(2):216-230. doi: 10.1111/tpj.14317. Epub 2019 Apr 16.

PMID:
30888713
7.

Correction to: Identification of an intracellular metabolic signature impairing beta cell function in the rat beta cell line INS-1E and human islets.

Goehring I, Sauter NS, Catchpole G, Assmann A, Shu L, Zien KS, Moehlig M, Pfeiffer AFH, Oberholzer J, Willmitzer L, Spranger J, Maedler K.

Diabetologia. 2019 Mar;62(3):553-554. doi: 10.1007/s00125-018-4717-9.

PMID:
30635678
8.

Genetic diversity of strawberry germplasm using metabolomic biomarkers.

Vallarino JG, de Abreu E Lima F, Soria C, Tong H, Pott DM, Willmitzer L, Fernie AR, Nikoloski Z, Osorio S.

Sci Rep. 2018 Sep 26;8(1):14386. doi: 10.1038/s41598-018-32212-9.

9.

Lipidome alterations in human prefrontal cortex during development, aging, and cognitive disorders.

Yu Q, He Z, Zubkov D, Huang S, Kurochkin I, Yang X, Halene T, Willmitzer L, Giavalisco P, Akbarian S, Khaitovich P.

Mol Psychiatry. 2018 Aug 8. doi: 10.1038/s41380-018-0200-8. [Epub ahead of print]

PMID:
30089790
10.

PROMIS, global analysis of PROtein-metabolite interactions using size separation in Arabidopsis thaliana.

Veyel D, Sokolowska EM, Moreno JC, Kierszniowska S, Cichon J, Wojciechowska I, Luzarowski M, Kosmacz M, Szlachetko J, Gorka M, Méret M, Graf A, Meyer EH, Willmitzer L, Skirycz A.

J Biol Chem. 2018 Aug 10;293(32):12440-12453. doi: 10.1074/jbc.RA118.003351. Epub 2018 May 31.

11.

Classification-driven framework to predict maize hybrid field performance from metabolic profiles of young parental roots.

de Abreu E Lima F, Willmitzer L, Nikoloski Z.

PLoS One. 2018 Apr 26;13(4):e0196038. doi: 10.1371/journal.pone.0196038. eCollection 2018.

12.

Unraveling lipid metabolism in maize with time-resolved multi-omics data.

de Abreu E Lima F, Li K, Wen W, Yan J, Nikoloski Z, Willmitzer L, Brotman Y.

Plant J. 2018 Mar;93(6):1102-1115. doi: 10.1111/tpj.13833. Epub 2018 Feb 23.

13.

An integrated multi-layered analysis of the metabolic networks of different tissues uncovers key genetic components of primary metabolism in maize.

Wen W, Jin M, Li K, Liu H, Xiao Y, Zhao M, Alseekh S, Li W, de Abreu E Lima F, Brotman Y, Willmitzer L, Fernie AR, Yan J.

Plant J. 2018 Mar;93(6):1116-1128. doi: 10.1111/tpj.13835. Epub 2018 Feb 24.

14.

Mapping the Arabidopsis Metabolic Landscape by Untargeted Metabolomics at Different Environmental Conditions.

Wu S, Tohge T, Cuadros-Inostroza Á, Tong H, Tenenboim H, Kooke R, Méret M, Keurentjes JB, Nikoloski Z, Fernie AR, Willmitzer L, Brotman Y.

Mol Plant. 2018 Jan 8;11(1):118-134. doi: 10.1016/j.molp.2017.08.012. Epub 2017 Sep 1.

15.

Omics-based hybrid prediction in maize.

Westhues M, Schrag TA, Heuer C, Thaller G, Utz HF, Schipprack W, Thiemann A, Seifert F, Ehret A, Schlereth A, Stitt M, Nikoloski Z, Willmitzer L, Schön CC, Scholten S, Melchinger AE.

Theor Appl Genet. 2017 Sep;130(9):1927-1939. doi: 10.1007/s00122-017-2934-0. Epub 2017 Jun 24.

PMID:
28647896
16.

Affinity purification with metabolomic and proteomic analysis unravels diverse roles of nucleoside diphosphate kinases.

Luzarowski M, Kosmacz M, Sokolowska E, Jasinska W, Willmitzer L, Veyel D, Skirycz A.

J Exp Bot. 2017 Jun 15;68(13):3487-3499. doi: 10.1093/jxb/erx183.

17.

Combined GC- and UHPLC-HR-MS Based Metabolomics to Analyze Durable Anti-fungal Resistance Processes in Cereals.

Bucher R, Veyel D, Willmitzer L, Krattinger S, Keller B, Biglera L.

Chimia (Aarau). 2017 Apr 26;71(4):156-159. doi: 10.2533/chimia.2017.156.

18.

System-wide detection of protein-small molecule complexes suggests extensive metabolite regulation in plants.

Veyel D, Kierszniowska S, Kosmacz M, Sokolowska EM, Michaelis A, Luzarowski M, Szlachetko J, Willmitzer L, Skirycz A.

Sci Rep. 2017 Feb 13;7:42387. doi: 10.1038/srep42387.

19.

Changes in Lipidome Composition during Brain Development in Humans, Chimpanzees, and Macaque Monkeys.

Li Q, Bozek K, Xu C, Guo Y, Sun J, Pääbo S, Sherwood CC, Hof PR, Ely JJ, Li Y, Willmitzer L, Giavalisco P, Khaitovich P.

Mol Biol Evol. 2017 May 1;34(5):1155-1166. doi: 10.1093/molbev/msx065.

20.

Lipidome determinants of maximal lifespan in mammals.

Bozek K, Khrameeva EE, Reznick J, Omerbašić D, Bennett NC, Lewin GR, Azpurua J, Gorbunova V, Seluanov A, Regnard P, Wanert F, Marchal J, Pifferi F, Aujard F, Liu Z, Shi P, Pääbo S, Schroeder F, Willmitzer L, Giavalisco P, Khaitovich P.

Sci Rep. 2017 Jan 31;7(1):5. doi: 10.1038/s41598-017-00037-7. Erratum in: Sci Rep. 2019 May 1;9(1):6972.

21.

Metabolic robustness in young roots underpins a predictive model of maize hybrid performance in the field.

de Abreu E Lima F, Westhues M, Cuadros-Inostroza Á, Willmitzer L, Melchinger AE, Nikoloski Z.

Plant J. 2017 Apr;90(2):319-329. doi: 10.1111/tpj.13495. Epub 2017 Mar 14.

22.

Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis.

Jin M, Zhang X, Zhao M, Deng M, Du Y, Zhou Y, Wang S, Tohge T, Fernie AR, Willmitzer L, Brotman Y, Yan J, Wen W.

BMC Plant Biol. 2017 Jan 18;17(1):17. doi: 10.1186/s12870-017-0972-z.

23.

Using lipidomics for expanding the knowledge on lipid metabolism in plants.

Tenenboim H, Burgos A, Willmitzer L, Brotman Y.

Biochimie. 2016 Nov;130:91-96. doi: 10.1016/j.biochi.2016.06.004. Epub 2016 Jun 9. Review.

PMID:
27292697
24.

Combined Use of Genome-Wide Association Data and Correlation Networks Unravels Key Regulators of Primary Metabolism in Arabidopsis thaliana.

Wu S, Alseekh S, Cuadros-Inostroza Á, Fusari CM, Mutwil M, Kooke R, Keurentjes JB, Fernie AR, Willmitzer L, Brotman Y.

PLoS Genet. 2016 Oct 19;12(10):e1006363. doi: 10.1371/journal.pgen.1006363. eCollection 2016 Oct.

25.

A naturally occurring promoter polymorphism of the Arabidopsis FUM2 gene causes expression variation, and is associated with metabolic and growth traits.

Riewe D, Jeon HJ, Lisec J, Heuermann MC, Schmeichel J, Seyfarth M, Meyer RC, Willmitzer L, Altmann T.

Plant J. 2016 Dec;88(5):826-838. doi: 10.1111/tpj.13303. Epub 2016 Sep 23.

26.

Broadening Our Portfolio in the Genetic Improvement of Maize Chemical Composition.

Wen W, Brotman Y, Willmitzer L, Yan J, Fernie AR.

Trends Genet. 2016 Aug;32(8):459-469. doi: 10.1016/j.tig.2016.05.003. Epub 2016 May 24. Review.

PMID:
27235112
27.

Medicinal Bioprospecting of the Amazon Rainforest: A Modern Eldorado?

Skirycz A, Kierszniowska S, Méret M, Willmitzer L, Tzotzos G.

Trends Biotechnol. 2016 Oct;34(10):781-790. doi: 10.1016/j.tibtech.2016.03.006. Epub 2016 Apr 21. Review.

PMID:
27113632
28.
29.

Genomics-based strategies for the use of natural variation in the improvement of crop metabolism.

Scossa F, Brotman Y, de Abreu E Lima F, Willmitzer L, Nikoloski Z, Tohge T, Fernie AR.

Plant Sci. 2016 Jan;242:47-64. doi: 10.1016/j.plantsci.2015.05.021. Epub 2015 Jun 5. Review.

PMID:
26566824
30.

Metabolomic Profiling of 13 Diatom Cultures and Their Adaptation to Nitrate-Limited Growth Conditions.

Bromke MA, Sabir JS, Alfassi FA, Hajarah NH, Kabli SA, Al-Malki AL, Ashworth MP, Méret M, Jansen RK, Willmitzer L.

PLoS One. 2015 Oct 6;10(10):e0138965. doi: 10.1371/journal.pone.0138965. eCollection 2015.

31.

Corrigendum: Gas chromatography mass spectrometry-based metabolite profiling in plants.

Lisec J, Schauer N, Kopka J, Willmitzer L, Fernie AR.

Nat Protoc. 2015 Sep;10(9):1457. doi: 10.1038/nprot0915-1457a. Epub 2015 Aug 27. No abstract available.

PMID:
26313484
32.

The transcription factor PHR1 regulates lipid remodeling and triacylglycerol accumulation in Arabidopsis thaliana during phosphorus starvation.

Pant BD, Burgos A, Pant P, Cuadros-Inostroza A, Willmitzer L, Scheible WR.

J Exp Bot. 2015 Apr;66(7):1907-18. doi: 10.1093/jxb/eru535. Epub 2015 Feb 13.

33.

Organization and evolution of brain lipidome revealed by large-scale analysis of human, chimpanzee, macaque, and mouse tissues.

Bozek K, Wei Y, Yan Z, Liu X, Xiong J, Sugimoto M, Tomita M, Pääbo S, Sherwood CC, Hof PR, Ely JJ, Li Y, Steinhauser D, Willmitzer L, Giavalisco P, Khaitovich P.

Neuron. 2015 Feb 18;85(4):695-702. doi: 10.1016/j.neuron.2015.01.003. Epub 2015 Feb 5.

34.

Liquid chromatography high-resolution mass spectrometry for fatty acid profiling.

Bromke MA, Hochmuth A, Tohge T, Fernie AR, Giavalisco P, Burgos A, Willmitzer L, Brotman Y.

Plant J. 2015 Feb;81(3):529-36. doi: 10.1111/tpj.12739. Epub 2015 Jan 5.

35.

Consequences of induced brassinosteroid deficiency in Arabidopsis leaves.

Schröder F, Lisso J, Obata T, Erban A, Maximova E, Giavalisco P, Kopka J, Fernie AR, Willmitzer L, Müssig C.

BMC Plant Biol. 2014 Nov 18;14:309. doi: 10.1186/s12870-014-0309-0.

36.

Water Balance, Hormone Homeostasis, and Sugar Signaling Are All Involved in Tomato Resistance to Tomato Yellow Leaf Curl Virus.

Sade D, Sade N, Shriki O, Lerner S, Gebremedhin A, Karavani A, Brotman Y, Osorio S, Fernie AR, Willmitzer L, Czosnek H, Moshelion M.

Plant Physiol. 2014 Aug;165(4):1684-1697. Epub 2014 Jul 2.

37.

Systems Analysis of the Response of Photosynthesis, Metabolism, and Growth to an Increase in Irradiance in the Photosynthetic Model Organism Chlamydomonas reinhardtii.

Mettler T, Mühlhaus T, Hemme D, Schöttler MA, Rupprecht J, Idoine A, Veyel D, Pal SK, Yaneva-Roder L, Winck FV, Sommer F, Vosloh D, Seiwert B, Erban A, Burgos A, Arvidsson S, Schönfelder S, Arnold A, Günther M, Krause U, Lohse M, Kopka J, Nikoloski Z, Mueller-Roeber B, Willmitzer L, Bock R, Schroda M, Stitt M.

Plant Cell. 2014 Jun;26(6):2310-2350. Epub 2014 Jun 3.

38.

VMP1-deficient Chlamydomonas exhibits severely aberrant cell morphology and disrupted cytokinesis.

Tenenboim H, Smirnova J, Willmitzer L, Steup M, Brotman Y.

BMC Plant Biol. 2014 May 6;14:121. doi: 10.1186/1471-2229-14-121.

39.

Exceptional evolutionary divergence of human muscle and brain metabolomes parallels human cognitive and physical uniqueness.

Bozek K, Wei Y, Yan Z, Liu X, Xiong J, Sugimoto M, Tomita M, Pääbo S, Pieszek R, Sherwood CC, Hof PR, Ely JJ, Steinhauser D, Willmitzer L, Bangsbo J, Hansson O, Call J, Giavalisco P, Khaitovich P.

PLoS Biol. 2014 May 27;12(5):e1001871. doi: 10.1371/journal.pbio.1001871. eCollection 2014 May.

40.

Linking gene expression and membrane lipid composition of Arabidopsis.

Szymanski J, Brotman Y, Willmitzer L, Cuadros-Inostroza Á.

Plant Cell. 2014 Mar;26(3):915-28. doi: 10.1105/tpc.113.118919. Epub 2014 Mar 18.

41.

Poly(ADP-ribose)polymerase activity controls plant growth by promoting leaf cell number.

Schulz P, Jansseune K, Degenkolbe T, Méret M, Claeys H, Skirycz A, Teige M, Willmitzer L, Hannah MA.

PLoS One. 2014 Feb 28;9(2):e90322. doi: 10.1371/journal.pone.0090322. eCollection 2014.

42.

Metabolomic response of Calotropis procera growing in the desert to changes in water availability.

Ramadan A, Sabir JS, Alakilli SY, Shokry AM, Gadalla NO, Edris S, Al-Kordy MA, Al-Zahrani HS, El-Domyati FM, Bahieldin A, Baker NR, Willmitzer L, Irgang S.

PLoS One. 2014 Feb 10;9(2):e87895. doi: 10.1371/journal.pone.0087895. eCollection 2014.

43.

Deducing hybrid performance from parental metabolic profiles of young primary roots of maize by using a multivariate diallel approach.

Feher K, Lisec J, Römisch-Margl L, Selbig J, Gierl A, Piepho HP, Nikoloski Z, Willmitzer L.

PLoS One. 2014 Jan 7;9(1):e85435. doi: 10.1371/journal.pone.0085435. eCollection 2014.

44.

The maize leaf lipidome shows multilevel genetic control and high predictive value for agronomic traits.

Riedelsheimer C, Brotman Y, Méret M, Melchinger AE, Willmitzer L.

Sci Rep. 2013;3:2479. doi: 10.1038/srep02479.

45.

Synthetic lethal metabolic targeting of cellular senescence in cancer therapy.

Dörr JR, Yu Y, Milanovic M, Beuster G, Zasada C, Däbritz JH, Lisec J, Lenze D, Gerhardt A, Schleicher K, Kratzat S, Purfürst B, Walenta S, Mueller-Klieser W, Gräler M, Hummel M, Keller U, Buck AK, Dörken B, Willmitzer L, Reimann M, Kempa S, Lee S, Schmitt CA.

Nature. 2013 Sep 19;501(7467):421-5. doi: 10.1038/nature12437. Epub 2013 Aug 14.

PMID:
23945590
46.

Metabolic analysis of adaptation to short-term changes in culture conditions of the marine diatom Thalassiosira pseudonana.

Bromke MA, Giavalisco P, Willmitzer L, Hesse H.

PLoS One. 2013 Jun 14;8(6):e67340. doi: 10.1371/journal.pone.0067340. Print 2013.

47.

Integration of genome-scale modeling and transcript profiling reveals metabolic pathways underlying light and temperature acclimation in Arabidopsis.

Töpfer N, Caldana C, Grimbs S, Willmitzer L, Fernie AR, Nikoloski Z.

Plant Cell. 2013 Apr;25(4):1197-211. doi: 10.1105/tpc.112.108852. Epub 2013 Apr 23.

48.

Functional Redundancy and Divergence within the Arabidopsis RETICULATA-RELATED Gene Family.

Pérez-Pérez JM, Esteve-Bruna D, González-Bayón R, Kangasjärvi S, Caldana C, Hannah MA, Willmitzer L, Ponce MR, Micol JL.

Plant Physiol. 2013 Jun;162(2):589-603. doi: 10.1104/pp.113.217323. Epub 2013 Apr 17.

49.

Trichoderma-plant root colonization: escaping early plant defense responses and activation of the antioxidant machinery for saline stress tolerance.

Brotman Y, Landau U, Cuadros-Inostroza Á, Tohge T, Fernie AR, Chet I, Viterbo A, Willmitzer L.

PLoS Pathog. 2013 Mar;9(3):e1003221. doi: 10.1371/journal.ppat.1003221. Epub 2013 Mar 14. Erratum in: PLoS Pathog. 2013 Apr;9(4). doi:10.1371/annotation/8b818c15-3fe0-4e56-9be2-e44fd1ed3fae. Takayuki, Tohge [corrected to Tohge, Takayuki].

50.

Investigating associations between milk metabolite profiles and milk traits of Holstein cows.

Melzer N, Wittenburg D, Hartwig S, Jakubowski S, Kesting U, Willmitzer L, Lisec J, Reinsch N, Repsilber D.

J Dairy Sci. 2013 Mar;96(3):1521-34. doi: 10.3168/jds.2012-5743.

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