Johannes Leufken (formerly Barth)
Publications
Dr. Johannes Leufken
PostdocSarin LP*, Kienast SD*, Leufken J, Ross RL, Dziergowska A, Debiec K, Sochacka E, Limbach PA, Fufezan C, Drexler HCA, Leidel SA. Nano LC-MS using capillary columns enables accurate quantification of modified ribonucleosides at low femtomol levels. RNA 2018 (in press).
Leufken J, Niehues A, Sarin LP, Hippler M, Leidel SA**, Fufezan C**. pyQms enables universal and accurate quantification of mass spectrometry data. Mol Cell Proteomics 2017 (in press); doi: 10.1074/mcp.M117.068007.
Pubmed
Pfannmüller A, Leufken J, Studt L, Michielse C B, Sieber C M K, Güldener U, Hawat S, Hippler M, Fufezan C, and Tudzynski B. Comparative transcriptome and proteome analysis reveals a global impact of the nitrogen regulators AreA and AreB on secondary metabolism in Fusarium fujikuroi. PLoS One (2017) 12, e0176194
Pubmed
Kremer LPM, Leufken J, Oyunchimeg P, Schulze S, and Fufezan C. Ursgal. Universal Python Module Combining Common Bottom-Up Proteomics Tools for Large-Scale Analysis. J Proteome Res 2016; 15:788–794
Pubmed
Bergner SV, Scholz M, Trompelt K, Barth J, Gäbelein P, Steinbeck J, Xue H, Clowez S, Fucile G, Goldschmidt-Clermont M, Fufezan C, and Hippler M. STATE TRANSITION7-Dependent Phosphorylation Is Modulated by Changing Environmental Conditions, and Its Absence Triggers Remodeling of Photosynthetic Protein Complexes. Plant Physiol 2015; 168:615–634
Pubmed
Schulze U, Vollenbröker B, Braun DA, Van Le T, Granado D, Kremerskothen J, Fränzel B, Klosowski R, Barth J, Fufezan C, Wolters DA, Pavenstädt H, and Weide T. The Vac14-interaction Network Is Linked to Regulators of the Endolysosomal and Autophagic Pathway. Mol Cell Proteomics 2014; 13: 1397–1411
Pubmed
Barth J, Bergner SV, Jaeger D, Niehues A, Schulze S, Scholz M, and Fufezan C. The interplay of light and oxygen in the reactive oxygen stress response of Chlamydomonas reinhardtii dissected by quantitative mass spectrometry. Mol Cell Prot 2014; 13: 969–989
Pubmed
Jaeger D, Barth J, Niehues A, and Fufezan C. pyGCluster, a novel hierarchical clustering approach. Bioinformatics 2014; 30:896–898
Pubmed
Hoehner R, Barth J, Magneschi L, Jaeger D, Niehues A, Bald T, Grossman A, Fufezan C, and Hippler M. The metabolic status drives acclimation of iron deficiency responses in Chlamydomonas reinhardtii as revealed by proteomics based hierarchical clustering and reverse genetics. Mol Cell Prot 2013; 12: 2774–2790
Pubmed
Bald T, Barth J, Niehues A, Specht M, Hippler M, Fufezan C. pymzML-Python module for high-throughput bioinformatics on mass spectrometry data. Bioinformatics 2012; 28:1052–1053
Pubmed
** Co-corresponding authors