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Items: 9

1.

Extrarenal Progenitor Cells Do Not Contribute to Renal Endothelial Repair.

Sradnick J, Rong S, Luedemann A, Parmentier SP, Bartaun C, Todorov VT, Gueler F, Hugo CP, Hohenstein B.

J Am Soc Nephrol. 2016 Jun;27(6):1714-26. doi: 10.1681/ASN.2015030321. Epub 2015 Oct 9.

2.

TagFinder: preprocessing software for the fingerprinting and the profiling of gas chromatography-mass spectrometry based metabolome analyses.

Luedemann A, von Malotky L, Erban A, Kopka J.

Methods Mol Biol. 2012;860:255-86. doi: 10.1007/978-1-61779-594-7_16.

PMID:
22351182
3.

Inter-laboratory reproducibility of fast gas chromatography-electron impact-time of flight mass spectrometry (GC-EI-TOF/MS) based plant metabolomics.

Allwood JW, Erban A, de Koning S, Dunn WB, Luedemann A, Lommen A, Kay L, Löscher R, Kopka J, Goodacre R.

Metabolomics. 2009 Dec;5(4):479-496. Epub 2009 Jul 24.

4.

TagFinder for the quantitative analysis of gas chromatography--mass spectrometry (GC-MS)-based metabolite profiling experiments.

Luedemann A, Strassburg K, Erban A, Kopka J.

Bioinformatics. 2008 Mar 1;24(5):732-7. doi: 10.1093/bioinformatics/btn023. Epub 2008 Jan 19.

PMID:
18204057
5.

Metabolome analysis: the potential of in vivo labeling with stable isotopes for metabolite profiling.

Birkemeyer C, Luedemann A, Wagner C, Erban A, Kopka J.

Trends Biotechnol. 2005 Jan;23(1):28-33. Review.

PMID:
15629855
6.

CSB.DB: a comprehensive systems-biology database.

Steinhauser D, Usadel B, Luedemann A, Thimm O, Kopka J.

Bioinformatics. 2004 Dec 12;20(18):3647-51. Epub 2004 Jul 9.

PMID:
15247097
7.

Hypothesis-driven approach to predict transcriptional units from gene expression data.

Steinhauser D, Junker BH, Luedemann A, Selbig J, Kopka J.

Bioinformatics. 2004 Aug 12;20(12):1928-39. Epub 2004 Mar 25.

PMID:
15044239
8.

Parallel analysis of transcript and metabolic profiles: a new approach in systems biology.

Urbanczyk-Wochniak E, Luedemann A, Kopka J, Selbig J, Roessner-Tunali U, Willmitzer L, Fernie AR.

EMBO Rep. 2003 Oct;4(10):989-93. Epub 2003 Sep 12.

9.

Metabolic profiling allows comprehensive phenotyping of genetically or environmentally modified plant systems.

Roessner U, Luedemann A, Brust D, Fiehn O, Linke T, Willmitzer L, Fernie A.

Plant Cell. 2001 Jan;13(1):11-29.

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