Schulze, Christian Hansjoachim

[["dc.bibliographiccitation.artnumber","5715"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Nature Communications"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Gomkale, Ridhima"],["dc.contributor.author","Linden, Andreas"],["dc.contributor.author","Neumann, Piotr"],["dc.contributor.author","Schendzielorz, Alexander Benjamin"],["dc.contributor.author","Stoldt, Stefan"],["dc.contributor.author","Dybkov, Olexandr"],["dc.contributor.author","Kilisch, Markus"],["dc.contributor.author","Schulz, Christian"],["dc.contributor.author","Cruz-Zaragoza, Luis Daniel"],["dc.contributor.author","Schwappach, Blanche"],["dc.contributor.author","Rehling, Peter"],["dc.date.accessioned","2021-10-01T09:57:33Z"],["dc.date.available","2021-10-01T09:57:33Z"],["dc.date.issued","2021"],["dc.description.abstract","Abstract Nuclear-encoded mitochondrial proteins destined for the matrix have to be transported across two membranes. The TOM and TIM23 complexes facilitate the transport of precursor proteins with N-terminal targeting signals into the matrix. During transport, precursors are recognized by the TIM23 complex in the inner membrane for handover from the TOM complex. However, we have little knowledge on the organization of the TOM-TIM23 transition zone and on how precursor transfer between the translocases occurs. Here, we have designed a precursor protein that is stalled during matrix transport in a TOM-TIM23-spanning manner and enables purification of the translocation intermediate. Combining chemical cross-linking with mass spectrometric analyses and structural modeling allows us to map the molecular environment of the intermembrane space interface of TOM and TIM23 as well as the import motor interactions with amino acid resolution. Our analyses provide a framework for understanding presequence handover and translocation during matrix protein transport."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.doi","10.1038/s41467-021-26016-1"],["dc.identifier.pii","26016"],["dc.identifier.pmid","34588454"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/89863"],["dc.identifier.url","https://mbexc.uni-goettingen.de/literature/publications/348"],["dc.identifier.url","https://sfb1190.med.uni-goettingen.de/production/literature/publications/157"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-469"],["dc.relation","EXC 2067: Multiscale Bioimaging"],["dc.relation","SFB 1190: Transportmaschinen und Kontaktstellen zellulärer Kompartimente"],["dc.relation","SFB 1190 | P01: Untersuchung der Unterschiede in der Zusammensetzung, Funktion und Position von individuellen MICOS Komplexen in einzelnen Säugerzellen"],["dc.relation","SFB 1190 | P04: Der GET-Rezeptor als ein Eingangstor zum ER und sein Zusammenspiel mit GET bodies"],["dc.relation","SFB 1190 | P13: Protein Transport über den mitochondrialen Carrier Transportweg"],["dc.relation","SFB 1190 | Z02: Massenspektrometrie-basierte Proteomanalyse"],["dc.relation.eissn","2041-1723"],["dc.relation.workinggroup","RG Ficner (Molecular Structural Biology)"],["dc.relation.workinggroup","RG Jakobs (Structure and Dynamics of Mitochondria)"],["dc.relation.workinggroup","RG Rehling (Mitochondrial Protein Biogenesis)"],["dc.relation.workinggroup","RG Schwappach (Membrane Protein Biogenesis)"],["dc.relation.workinggroup","RG Urlaub (Bioanalytische Massenspektrometrie)"],["dc.rights","CC BY 4.0"],["dc.title","Mapping protein interactions in the active TOM-TIM23 supercomplex"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e47192"],["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","PloS one"],["dc.bibliographiccitation.lastpage","7"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Kessler, Michael"],["dc.contributor.author","Hertel, Dietrich"],["dc.contributor.author","Jungkunst, Hermann F."],["dc.contributor.author","Kluge, Jürgen"],["dc.contributor.author","Abrahamczyk, Stefan"],["dc.contributor.author","Bos, Merijn Marinus"],["dc.contributor.author","Buchori, Damayanti"],["dc.contributor.author","Gerold, Gerhard"],["dc.contributor.author","Gradstein, S. Robbert"],["dc.contributor.author","Köhler, Stefan"],["dc.contributor.author","Leuschner, Christoph"],["dc.contributor.author","Moser, Gerald"],["dc.contributor.author","Pitopang, Ramadhanil"],["dc.contributor.author","Saleh, Shahabuddin"],["dc.contributor.author","Schulze, Christian Hansjoachim"],["dc.contributor.author","Sporn, Simone Goda"],["dc.contributor.author","Steffan-Dewenter, Ingolf"],["dc.contributor.author","Tjitrosoedirdjo, Sri Sudarmiyati"],["dc.contributor.author","Tscharntke, Teja"],["dc.contributor.editor","Bond-Lamberty, Ben"],["dc.date.accessioned","2018-07-05T16:08:40Z"],["dc.date.available","2018-07-05T16:08:40Z"],["dc.date.issued","2012"],["dc.description.abstract","Managing ecosystems for carbon storage may also benefit biodiversity conservation, but such a potential ‘win-win’ scenario has not yet been assessed for tropical agroforestry landscapes. We measured above- and below-ground carbon stocks as well as the species richness of four groups of plants and eight of animals on 14 representative plots in Sulawesi, Indonesia, ranging from natural rainforest to cacao agroforests that have replaced former natural forest. The conversion of natural forests with carbon stocks of 227–362 Mg C ha−1 to agroforests with 82–211 Mg C ha−1 showed no relationships to overall biodiversity but led to a significant loss of forest-related species richness. We conclude that the conservation of the forest-related biodiversity, and to a lesser degree of carbon stocks, mainly depends on the preservation of natural forest habitats. In the three most carbon-rich agroforestry systems, carbon stocks were about 60% of those of natural forest, suggesting that 1.6 ha of optimally managed agroforest can contribute to the conservation of carbon stocks as much as 1 ha of natural forest. However, agroforestry systems had comparatively low biodiversity, and we found no evidence for a tight link between carbon storage and biodiversity. Yet, potential win-win agroforestry management solutions include combining high shade-tree quality which favours biodiversity with cacao-yield adapted shade levels."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2012"],["dc.identifier.doi","10.1371/journal.pone.0047192"],["dc.identifier.gro","3150069"],["dc.identifier.pmid","23077569"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/8161"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/15169"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.relation.issn","1932-6203"],["dc.rights","CC BY 2.5"],["dc.rights.uri","https://creativecommons.org/licenses/by/2.5"],["dc.title","Can Joint Carbon and Biodiversity Management in Tropical Agroforestry Landscapes Be Optimized?"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","8311"],["dc.bibliographiccitation.issue","20"],["dc.bibliographiccitation.journal","Proceedings of the National Academy of Sciences"],["dc.bibliographiccitation.lastpage","8316"],["dc.bibliographiccitation.volume","108"],["dc.contributor.author","Clough, Yann"],["dc.contributor.author","Barkmann, Jan"],["dc.contributor.author","Juhrbandt, Jana"],["dc.contributor.author","Kessler, Michael"],["dc.contributor.author","Wanger, Thomas Cherico"],["dc.contributor.author","Anshary, Alam"],["dc.contributor.author","Buchori, Damayanti"],["dc.contributor.author","Cicuzza, Daniele"],["dc.contributor.author","Darras, Kevin"],["dc.contributor.author","Putra, Dadang Dwi"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Pitopang, Ramadhanil"],["dc.contributor.author","Schmidt, Carsten"],["dc.contributor.author","Schulze, Christian H."],["dc.contributor.author","Seidel, Dominik"],["dc.contributor.author","Steffan-Dewenter, Ingolf"],["dc.contributor.author","Stenchly, Kathrin"],["dc.contributor.author","Vidal, Stefan"],["dc.contributor.author","Weist, Maria"],["dc.contributor.author","Wielgoss, Arno Christian"],["dc.contributor.author","Tscharntke, Teja"],["dc.date.accessioned","2017-09-07T11:54:44Z"],["dc.date.accessioned","2020-05-11T13:18:51Z"],["dc.date.available","2017-09-07T11:54:44Z"],["dc.date.available","2020-05-11T13:18:51Z"],["dc.date.issued","2011"],["dc.description.abstract","Local and landscape-scale agricultural intensification is a major driver of global biodiversity loss. Controversially discussed solutions include wildlife-friendly farming or combining high-intensity farming with land-sparing for nature. Here, we integrate biodiversity and crop productivity data for smallholder cacao in Indonesia to exemplify for tropical agroforests that there is little relationship between yield and biodiversity under current management, opening substantial opportunities for wildlife-friendly management. Species richness of trees, fungi, invertebrates, and vertebrates did not decrease with yield. Moderate shade, adequate labor, and input level can be combined with a complex habitat structure to provide high biodiversity as well as high yields. Although livelihood impacts are held up as a major obstacle for wildlife-friendly farming in the tropics, our results suggest that in some situations, agroforests can be designed to optimize both biodiversity and crop production benefits without adding pressure to convert natural habitat to farmland."],["dc.identifier.doi","10.1073/pnas.1016799108"],["dc.identifier.gro","3150093"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/8611"],["dc.identifier.scopus","2-s2.0-79957762227"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/6823"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65024"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-79957762227&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.relation.eissn","1091-6490"],["dc.relation.issn","0027-8424"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Combining high biodiversity with high yields in tropical agroforests"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1674"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","Cells"],["dc.bibliographiccitation.volume","11"],["dc.contributor.affiliation","Bekfani, Tarek; 1Department of Internal Medicine I, Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Magdeburg, Otto von Guericke-University, 39120 Magdeburg, Germany; tarek.bekfani@med.ovgu.de"],["dc.contributor.affiliation","Bekhite, Mohamed; 2Department of Internal Medicine I, Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany; mohamed.el_saied@med.uni-jena.de (M.B.); ali.hamadanchi@med.uni-jena.de (A.H.); mhilse@joho.de (M.S.H.); daniela.haase@med.uni-jena.de (D.H.); tom.kretzschmar2@med.uni-jena.de (T.K.); jasmine.wu@med.uni-jena.de (M.-F.W.); marcus.franz@med.uni-jena.de (M.F.); sven.moebius-winkler@med.uni-jena.de (S.M.-W.)"],["dc.contributor.affiliation","Neugebauer, Sophie; 3Department of Clinical Chemistry and Laboratory Diagnostics, Jena University Hospital, 07743 Jena, Germany; sophie.neugebauer@med.uni-jena.de (S.N.); michael.kienhntopf@med.uni-jena.de (M.K.)"],["dc.contributor.affiliation","Derlien, Steffen; 4Institute of Physiotherapy, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany; steffen.derlien@med.uni-jena.de (S.D.); jenny.nisser@sanivadiagnostics.com (J.N.)"],["dc.contributor.affiliation","Hamadanchi, Ali; 2Department of Internal Medicine I, Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany; mohamed.el_saied@med.uni-jena.de (M.B.); ali.hamadanchi@med.uni-jena.de (A.H.); mhilse@joho.de (M.S.H.); daniela.haase@med.uni-jena.de (D.H.); tom.kretzschmar2@med.uni-jena.de (T.K.); jasmine.wu@med.uni-jena.de (M.-F.W.); marcus.franz@med.uni-jena.de (M.F.); sven.moebius-winkler@med.uni-jena.de (S.M.-W.)"],["dc.contributor.affiliation","Nisser, Jenny; 4Institute of Physiotherapy, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany; steffen.derlien@med.uni-jena.de (S.D.); jenny.nisser@sanivadiagnostics.com (J.N.)"],["dc.contributor.affiliation","Hilse, Marion S.; 2Department of Internal Medicine I, Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany; mohamed.el_saied@med.uni-jena.de (M.B.); ali.hamadanchi@med.uni-jena.de (A.H.); mhilse@joho.de (M.S.H.); daniela.haase@med.uni-jena.de (D.H.); tom.kretzschmar2@med.uni-jena.de (T.K.); jasmine.wu@med.uni-jena.de (M.-F.W.); marcus.franz@med.uni-jena.de (M.F.); sven.moebius-winkler@med.uni-jena.de (S.M.-W.)"],["dc.contributor.affiliation","Haase, Daniela; 2Department of Internal Medicine I, Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany; mohamed.el_saied@med.uni-jena.de (M.B.); ali.hamadanchi@med.uni-jena.de (A.H.); mhilse@joho.de (M.S.H.); daniela.haase@med.uni-jena.de (D.H.); tom.kretzschmar2@med.uni-jena.de (T.K.); jasmine.wu@med.uni-jena.de (M.-F.W.); marcus.franz@med.uni-jena.de (M.F.); sven.moebius-winkler@med.uni-jena.de (S.M.-W.)"],["dc.contributor.affiliation","Kretzschmar, Tom; 2Department of Internal Medicine I, Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany; mohamed.el_saied@med.uni-jena.de (M.B.); ali.hamadanchi@med.uni-jena.de (A.H.); mhilse@joho.de (M.S.H.); daniela.haase@med.uni-jena.de (D.H.); tom.kretzschmar2@med.uni-jena.de (T.K.); jasmine.wu@med.uni-jena.de (M.-F.W.); marcus.franz@med.uni-jena.de (M.F.); sven.moebius-winkler@med.uni-jena.de (S.M.-W.)"],["dc.contributor.affiliation","Wu, Mei-Fang; 2Department of Internal Medicine I, Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany; mohamed.el_saied@med.uni-jena.de (M.B.); ali.hamadanchi@med.uni-jena.de (A.H.); mhilse@joho.de (M.S.H.); daniela.haase@med.uni-jena.de (D.H.); tom.kretzschmar2@med.uni-jena.de (T.K.); jasmine.wu@med.uni-jena.de (M.-F.W.); marcus.franz@med.uni-jena.de (M.F.); sven.moebius-winkler@med.uni-jena.de (S.M.-W.)"],["dc.contributor.affiliation","Lichtenauer, Michael; 5Clinic of Internal Medicine II, Department of Cardiology, Paracelsus Medical University of Salzburg, 5020 Salzburg, Austria; michael.lichtenauer@med.uni-jena.de"],["dc.contributor.affiliation","Kiehntopf, Michael; 3Department of Clinical Chemistry and Laboratory Diagnostics, Jena University Hospital, 07743 Jena, Germany; sophie.neugebauer@med.uni-jena.de (S.N.); michael.kienhntopf@med.uni-jena.de (M.K.)"],["dc.contributor.affiliation","von Haehling, Stephan; 6Department of Cardiology and Pneumology, University of Göttingen Medical Center, 37075 Göttingen, Germany; stephan.von.haehling@med.uni-goettingen.de"],["dc.contributor.affiliation","Schlattmann, Peter; 8Institute for Medical Statistics, Computer Science and Data Science (IMSID), Jena University Hospital, 07743 Jena, Germany; peter.schlattmann@med.uni-jena.de"],["dc.contributor.affiliation","Lehmann, Gabriele; 9Department of Internal Medicine III, Division of Endocrinology, Nephrology and Rheumatology, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany; gabriele.lehmann@amedes-group.de"],["dc.contributor.affiliation","Franz, Marcus; 2Department of Internal Medicine I, Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany; mohamed.el_saied@med.uni-jena.de (M.B.); ali.hamadanchi@med.uni-jena.de (A.H.); mhilse@joho.de (M.S.H.); daniela.haase@med.uni-jena.de (D.H.); tom.kretzschmar2@med.uni-jena.de (T.K.); jasmine.wu@med.uni-jena.de (M.-F.W.); marcus.franz@med.uni-jena.de (M.F.); sven.moebius-winkler@med.uni-jena.de (S.M.-W.)"],["dc.contributor.affiliation","Möbius-Winkler, Sven; 2Department of Internal Medicine I, Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany; mohamed.el_saied@med.uni-jena.de (M.B.); ali.hamadanchi@med.uni-jena.de (A.H.); mhilse@joho.de (M.S.H.); daniela.haase@med.uni-jena.de (D.H.); tom.kretzschmar2@med.uni-jena.de (T.K.); jasmine.wu@med.uni-jena.de (M.-F.W.); marcus.franz@med.uni-jena.de (M.F.); sven.moebius-winkler@med.uni-jena.de (S.M.-W.)"],["dc.contributor.affiliation","Schulze, Christian; 2Department of Internal Medicine I, Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Jena, Friedrich-Schiller-University, 07743 Jena, Germany; mohamed.el_saied@med.uni-jena.de (M.B.); ali.hamadanchi@med.uni-jena.de (A.H.); mhilse@joho.de (M.S.H.); daniela.haase@med.uni-jena.de (D.H.); tom.kretzschmar2@med.uni-jena.de (T.K.); jasmine.wu@med.uni-jena.de (M.-F.W.); marcus.franz@med.uni-jena.de (M.F.); sven.moebius-winkler@med.uni-jena.de (S.M.-W.)"],["dc.contributor.author","Bekfani, Tarek"],["dc.contributor.author","Bekhite, Mohamed"],["dc.contributor.author","Neugebauer, Sophie"],["dc.contributor.author","Derlien, Steffen"],["dc.contributor.author","Hamadanchi, Ali"],["dc.contributor.author","Nisser, Jenny"],["dc.contributor.author","Hilse, Marion S."],["dc.contributor.author","Haase, Daniela"],["dc.contributor.author","Kretzschmar, Tom"],["dc.contributor.author","Wu, Mei-Fang"],["dc.contributor.author","Schulze, Christian"],["dc.contributor.author","Lichtenauer, Michael"],["dc.contributor.author","Kiehntopf, Michael"],["dc.contributor.author","von Haehling, Stephan"],["dc.contributor.author","Schlattmann, Peter"],["dc.contributor.author","Lehmann, Gabriele"],["dc.contributor.author","Franz, Marcus"],["dc.contributor.author","Möbius-Winkler, Sven"],["dc.date.accessioned","2022-06-01T09:39:56Z"],["dc.date.available","2022-06-01T09:39:56Z"],["dc.date.issued","2022"],["dc.date.updated","2022-06-05T21:32:27Z"],["dc.description.abstract","Aims: Metabolic and structural perturbations in skeletal muscle have been found in patients with heart failure (HF) both with preserved (HFpEF) and reduced (HFrEF) ejection fraction in association with reduced muscle endurance (RME). We aimed in the current study to create phenotypes for patients with RME and HFpEF compared to RME HFrEF according to their metabolomic profiles and to test the potential of Kynurenine (Kyn) as a marker for RME. Methods: Altogether, 18 HFrEF, 17 HFpEF, and 20 healthy controls (HC) were prospectively included in the current study. The following tests were performed on all participants: isokinetic muscle function tests, echocardiography, spiroergometry, and varied blood tests. Liquid chromatography tandem mass spectrometry was used to quantify metabolites in serum. Results: Except for aromatic and branched amino acids (AA), patients with HF showed reduced AAs compared to HC. Further perturbations were elevated concentrations of Kyn and acylcarnitines (ACs) in HFpEF and HFrEF patients (p < 0.05). While patients with HFpEF and RME presented with reduced concentrations of ACs (long- and medium-chains), those with HFrEF and RME had distorted AAs metabolism (p < 0.05). With an area under the curve (AUC) of 0.83, Kyn shows potential as a marker in HF and RME (specificity 70%, sensitivity 83%). In a multiple regression model consisting of short-chain-ACs, spermine, ornithine, glutamate, and Kyn, the latest was an independent predictor for RME (95% CI: −13.01, −3.30, B: −8.2 per 1 µM increase, p = 0.001). Conclusions: RME in patients with HFpEF vs. HFrEF proved to have different metabolomic profiles suggesting varied pathophysiology. Kyn might be a promising biomarker for patients with HF and RME."],["dc.identifier.doi","10.3390/cells11101674"],["dc.identifier.pii","cells11101674"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/108599"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-572"],["dc.relation.eissn","2073-4409"],["dc.title","Metabolomic Profiling in Patients with Heart Failure and Exercise Intolerance: Kynurenine as a Potential Biomarker"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]