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Items: 1 to 20 of 28


Lysine acetylation in mitochondria: From inventory to function.

Hosp F, Lassowskat I, Santoro V, De Vleesschauwer D, Fliegner D, Redestig H, Mann M, Christian S, Hannah MA, Finkemeier I.

Mitochondrion. 2016 Jul 28. pii: S1567-7249(16)30114-3. doi: 10.1016/j.mito.2016.07.012. [Epub ahead of print]


Homoeologs: What Are They and How Do We Infer Them?

Glover NM, Redestig H, Dessimoz C.

Trends Plant Sci. 2016 Jul;21(7):609-21. doi: 10.1016/j.tplants.2016.02.005. Epub 2016 Mar 22. Review.


Transcript abundance on its own cannot be used to infer fluxes in central metabolism.

Schwender J, König C, Klapperstück M, Heinzel N, Munz E, Hebbelmann I, Hay JO, Denolf P, De Bodt S, Redestig H, Caestecker E, Jakob PM, Borisjuk L, Rolletschek H.

Front Plant Sci. 2014 Nov 28;5:668. doi: 10.3389/fpls.2014.00668. eCollection 2014.


The OMA orthology database in 2015: function predictions, better plant support, synteny view and other improvements.

Altenhoff AM, Škunca N, Glover N, Train CM, Sueki A, Piližota I, Gori K, Tomiczek B, Müller S, Redestig H, Gonnet GH, Dessimoz C.

Nucleic Acids Res. 2015 Jan;43(Database issue):D240-9. doi: 10.1093/nar/gku1158. Epub 2014 Nov 15.


A minimal model of peptide binding predicts ensemble properties of serum antibodies.

Greiff V, Redestig H, Lück J, Bruni N, Valai A, Hartmann S, Rausch S, Schuchhardt J, Or-Guil M.

BMC Genomics. 2012 Feb 21;13:79. doi: 10.1186/1471-2164-13-79.


Determining novel functions of Arabidopsis 14-3-3 proteins in central metabolic processes.

Diaz C, Kusano M, Sulpice R, Araki M, Redestig H, Saito K, Stitt M, Shin R.

BMC Syst Biol. 2011 Nov 21;5:192. doi: 10.1186/1752-0509-5-192.


Exploring molecular backgrounds of quality traits in rice by predictive models based on high-coverage metabolomics.

Redestig H, Kusano M, Ebana K, Kobayashi M, Oikawa A, Okazaki Y, Matsuda F, Arita M, Fujita N, Saito K.

BMC Syst Biol. 2011 Oct 28;5:176. doi: 10.1186/1752-0509-5-176.


Detection and interpretation of metabolite-transcript coresponses using combined profiling data.

Redestig H, Costa IG.

Bioinformatics. 2011 Jul 1;27(13):i357-65. doi: 10.1093/bioinformatics/btr231.


Exploring matrix effects and quantification performance in metabolomics experiments using artificial biological gradients.

Redestig H, Kobayashi M, Saito K, Kusano M.

Anal Chem. 2011 Jul 15;83(14):5645-51. doi: 10.1021/ac200786y. Epub 2011 Jun 28.


Plasma membrane aquaporin AqpZ protein is essential for glucose metabolism during photomixotrophic growth of Synechocystis sp. PCC 6803.

Akai M, Onai K, Kusano M, Sato M, Redestig H, Toyooka K, Morishita M, Miyake H, Hazama A, Checchetto V, Szabò I, Matsuoka K, Saito K, Yasui M, Ishiura M, Uozumi N.

J Biol Chem. 2011 Jul 15;286(28):25224-35. doi: 10.1074/jbc.M111.236380. Epub 2011 May 10.


Covering chemical diversity of genetically-modified tomatoes using metabolomics for objective substantial equivalence assessment.

Kusano M, Redestig H, Hirai T, Oikawa A, Matsuda F, Fukushima A, Arita M, Watanabe S, Yano M, Hiwasa-Tanase K, Ezura H, Saito K.

PLoS One. 2011 Feb 16;6(2):e16989. doi: 10.1371/journal.pone.0016989.


Metabolomic approaches toward understanding nitrogen metabolism in plants.

Kusano M, Fukushima A, Redestig H, Saito K.

J Exp Bot. 2011 Feb;62(4):1439-53. doi: 10.1093/jxb/erq417. Epub 2011 Jan 10. Review.


Metabolomic correlation-network modules in Arabidopsis based on a graph-clustering approach.

Fukushima A, Kusano M, Redestig H, Arita M, Saito K.

BMC Syst Biol. 2011 Jan 1;5:1. doi: 10.1186/1752-0509-5-1.


Consolidating metabolite identifiers to enable contextual and multi-platform metabolomics data analysis.

Redestig H, Kusano M, Fukushima A, Matsuda F, Saito K, Arita M.

BMC Bioinformatics. 2010 Apr 29;11:214. doi: 10.1186/1471-2105-11-214.


Comparative metabolomics charts the impact of genotype-dependent methionine accumulation in Arabidopsis thaliana.

Kusano M, Fukushima A, Redestig H, Kobayashi M, Otsuki H, Onouchi H, Naito S, Hirai MY, Saito K.

Amino Acids. 2010 Oct;39(4):1013-21. doi: 10.1007/s00726-010-0562-y. Epub 2010 Mar 31.


TargetSearch--a Bioconductor package for the efficient preprocessing of GC-MS metabolite profiling data.

Cuadros-Inostroza A, Caldana C, Redestig H, Kusano M, Lisec J, Peña-Cortés H, Willmitzer L, Hannah MA.

BMC Bioinformatics. 2009 Dec 16;10:428. doi: 10.1186/1471-2105-10-428.


Integrated omics approaches in plant systems biology.

Fukushima A, Kusano M, Redestig H, Arita M, Saito K.

Curr Opin Chem Biol. 2009 Dec;13(5-6):532-8. doi: 10.1016/j.cbpa.2009.09.022. Review.


Compensation for systematic cross-contribution improves normalization of mass spectrometry based metabolomics data.

Redestig H, Fukushima A, Stenlund H, Moritz T, Arita M, Saito K, Kusano M.

Anal Chem. 2009 Oct 1;81(19):7974-80. doi: 10.1021/ac901143w.


Metabolome-ionome-biomass interactions: What can we learn about salt stress by multiparallel phenotyping?

Sanchez DH, Redestig H, Krämer U, Udvardi MK, Kopka J.

Plant Signal Behav. 2008 Aug;3(8):598-600.


Global mRNA changes in microarray experiments.

Hannah MA, Redestig H, Leisse A, Willmitzer L.

Nat Biotechnol. 2008 Jul;26(7):741-2. doi: 10.1038/nbt0708-741. No abstract available.

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