Bonn, Stefan

[["dc.contributor.author","Fiosina, Jelena"],["dc.contributor.author","Fiosins, Maksims"],["dc.contributor.author","Bonn, Stefan"],["dc.date.accessioned","2022-08-26T07:22:02Z"],["dc.date.available","2022-08-26T07:22:02Z"],["dc.date.issued","2019"],["dc.identifier.arxiv","1909.11956"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/113246"],["dc.identifier.url","https://sfb1286.uni-goettingen.de/literature/publications/49"],["dc.relation","SFB 1286: Quantitative Synaptologie"],["dc.relation","SFB 1286 | Z02: Integrative Datenanalyse und -interpretation. Generierung einer synaptisch-integrativen Datenstrategie (SynIDs)"],["dc.relation.workinggroup","RG Bonn"],["dc.title","Explainable Deep Learning for Augmentation of sRNA Expression Profiles"],["dc.type","preprint"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","959"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Molecular systems biology"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Hatje, Klas"],["dc.contributor.author","Rahman, Raza-Ur"],["dc.contributor.author","Vidal, Ramon O."],["dc.contributor.author","Simm, Dominic"],["dc.contributor.author","Hammesfahr, Björn"],["dc.contributor.author","Bansal, Vikas"],["dc.contributor.author","Rajput, Ashish"],["dc.contributor.author","Mickael, Michel Edwar"],["dc.contributor.author","Sun, Ting"],["dc.contributor.author","Bonn, Stefan"],["dc.contributor.author","Kollmar, Martin"],["dc.date.accessioned","2019-07-30T10:25:25Z"],["dc.date.available","2019-07-30T10:25:25Z"],["dc.date.issued","2017"],["dc.description.abstract","Mutually exclusive splicing of exons is a mechanism of functional gene and protein diversification with pivotal roles in organismal development and diseases such as Timothy syndrome, cardiomyopathy and cancer in humans. In order to obtain a first genomewide estimate of the extent and biological role of mutually exclusive splicing in humans, we predicted and subsequently validated mutually exclusive exons (MXEs) using 515 publically available RNA-Seq datasets. Here, we provide evidence for the expression of over 855 MXEs, 42% of which represent novel exons, increasing the annotated human mutually exclusive exome more than fivefold. The data provide strong evidence for the existence of large and multi-cluster MXEs in higher vertebrates and offer new insights into MXE evolution. More than 82% of the MXE clusters are conserved in mammals, and five clusters have homologous clusters in Drosophila Finally, MXEs are significantly enriched in pathogenic mutations and their spatio-temporal expression might predict human disease pathology."],["dc.identifier.doi","10.15252/msb.20177728"],["dc.identifier.pmid","29242366"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/62194"],["dc.language.iso","en"],["dc.relation.eissn","1744-4292"],["dc.relation.issn","1744-4292"],["dc.relation.issn","1744-4292"],["dc.relation.issn","1744-4292"],["dc.title","The landscape of human mutually exclusive splicing"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","160090"],["dc.bibliographiccitation.journal","Scientific Data"],["dc.bibliographiccitation.volume","3"],["dc.contributor.author","Centeno, Tonatiuh Pena"],["dc.contributor.author","Shomroni, Orr"],["dc.contributor.author","Hennion, Magali"],["dc.contributor.author","Halder, Rashi"],["dc.contributor.author","Vidal, Ramon"],["dc.contributor.author","Rahman, Raza-Ur"],["dc.contributor.author","Bonn, Stefan"],["dc.date.accessioned","2017-09-07T11:52:23Z"],["dc.date.available","2017-09-07T11:52:23Z"],["dc.date.issued","2016"],["dc.identifier.doi","10.1038/sdata.2016.90"],["dc.identifier.gro","3144912"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14127"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/2588"],["dc.notes.intern","Crossref Import"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","public"],["dc.relation.issn","2052-4463"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Genome-wide chromatin and gene expression profiling during memory formation and maintenance in adult mice"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","9"],["dc.bibliographiccitation.journal","Journal of Molecular and Cellular Cardiology"],["dc.bibliographiccitation.lastpage","21"],["dc.bibliographiccitation.volume","113"],["dc.contributor.author","Streckfuss-Bömeke, Katrin"],["dc.contributor.author","Tiburcy, Malte"],["dc.contributor.author","Fomin, Andrey"],["dc.contributor.author","Luo, Xiaojing"],["dc.contributor.author","Li, Wener"],["dc.contributor.author","Fischer, Claudia"],["dc.contributor.author","Özcelik, Cemil"],["dc.contributor.author","Perrot, Andreas"],["dc.contributor.author","Sossalla, Samuel"],["dc.contributor.author","Haas, Jan"],["dc.contributor.author","Vidal, Ramon Oliveira"],["dc.contributor.author","Rebs, Sabine"],["dc.contributor.author","Khadjeh, Sara"],["dc.contributor.author","Meder, Benjamin"],["dc.contributor.author","Bonn, Stefan"],["dc.contributor.author","Linke, Wolfgang A."],["dc.contributor.author","Zimmermann, Wolfram-Hubertus"],["dc.contributor.author","Guan, Kaomei"],["dc.contributor.author","Hasenfuss, Gerd"],["dc.date.accessioned","2018-04-23T11:49:17Z"],["dc.date.available","2018-04-23T11:49:17Z"],["dc.date.issued","2017"],["dc.description.abstract","The ability to generate patient-specific induced pluripotent stem cells (iPSCs) provides a unique opportunity for modeling heart disease in vitro. In this study, we generated iPSCs from a patient with dilated cardiomyopathy (DCM) caused by a missense mutation S635A in RNA-binding motif protein 20 (RBM20) and investigated the functionality and cell biology of cardiomyocytes (CMs) derived from patient-specific iPSCs (RBM20-iPSCs). The RBM20-iPSC-CMs showed abnormal distribution of sarcomeric α-actinin and defective calcium handling compared to control-iPSC-CMs, suggesting disorganized myofilament structure and altered calcium machinery in CMs of the RBM20 patient. Engineered heart muscles (EHMs) from RBM20-iPSC-CMs showed that not only active force generation was impaired in RBM20-EHMs but also passive stress of the tissue was decreased, suggesting a higher visco-elasticity of RBM20-EHMs. Furthermore, we observed a reduced titin (TTN) N2B-isoform expression in RBM20-iPSC-CMs by demonstrating a reduction of exon skipping in the PEVK region of TTN and an inhibition of TTN isoform switch. In contrast, in control-iPSC-CMs both TTN isoforms N2B and N2BA were expressed, indicating that the TTN isoform switch occurs already during early cardiogenesis. Using next generation RNA sequencing, we mapped transcriptome and splicing target profiles of RBM20-iPSC-CMs and identified different cardiac gene networks in response to the analyzed RBM20 mutation in cardiac-specific processes. These findings shed the first light on molecular mechanisms of RBM20-dependent pathological cardiac remodeling leading to DCM. Our data demonstrate that iPSC-CMs coupled with EHMs provide a powerful tool for evaluating disease-relevant functional defects and for a deeper mechanistic understanding of alternative splicing-related cardiac diseases."],["dc.identifier.doi","10.1016/j.yjmcc.2017.09.008"],["dc.identifier.gro","3142517"],["dc.identifier.pmid","28941705"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16493"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/13672"],["dc.identifier.url","https://sfb1002.med.uni-goettingen.de/production/literature/publications/191"],["dc.language.iso","en"],["dc.notes.intern","lifescience updates Crossref Import"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.relation","SFB 1002: Modulatorische Einheiten bei Herzinsuffizienz"],["dc.relation","SFB 1002 | A08: Translationale und posttranslationale Kontrolle trunkierter Titinproteine in Kardiomyozyten von Patienten mit dilatativer Kardiomyopathie"],["dc.relation","SFB 1002 | C04: Fibroblasten-Kardiomyozyten Interaktion im gesunden und erkrankten Herzen: Mechanismen und therapeutische Interventionen bei Kardiofibroblastopathien"],["dc.relation","SFB 1002 | D01: Erholung aus der Herzinsuffizienz – Einfluss von Fibrose und Transkriptionssignatur"],["dc.relation.issn","0022-2828"],["dc.relation.workinggroup","RG Guan (Application of patient-specific induced pluripotent stem cells in disease modelling)"],["dc.relation.workinggroup","RG Hasenfuß (Transition zur Herzinsuffizienz)"],["dc.relation.workinggroup","RG Linke (Kardiovaskuläre Physiologie)"],["dc.relation.workinggroup","RG Sossalla (Kardiovaskuläre experimentelle Elektrophysiologie und Bildgebung)"],["dc.relation.workinggroup","RG Tiburcy (Stem Cell Disease Modeling)"],["dc.relation.workinggroup","RG Zimmermann (Engineered Human Myocardium)"],["dc.rights","CC BY-NC-ND 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by-nc-nd/4.0"],["dc.title","Severe DCM phenotype of patient harboring RBM20 mutation S635A can be modeled by patient-specific induced pluripotent stem cell-derived cardiomyocytes"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","16913"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Scientific Reports"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Mandad, Sunit"],["dc.contributor.author","Rahman, Raza-Ur"],["dc.contributor.author","Centeno, Tonatiuh Pena"],["dc.contributor.author","Vidal, Ramon O."],["dc.contributor.author","Wildhagen, Hanna"],["dc.contributor.author","Rammner, Burkhard"],["dc.contributor.author","Keihani, Sarva"],["dc.contributor.author","Opazo, Felipe"],["dc.contributor.author","Urban, Inga"],["dc.contributor.author","Ischebeck, Till"],["dc.contributor.author","Kirli, Koray"],["dc.contributor.author","Benito, Eva"],["dc.contributor.author","Fischer, André"],["dc.contributor.author","Yousefi, Roya Y."],["dc.contributor.author","Dennerlein, Sven"],["dc.contributor.author","Rehling, Peter"],["dc.contributor.author","Feußner, Ivo"],["dc.contributor.author","Urlaub, Henning"],["dc.contributor.author","Bonn, Stefan"],["dc.contributor.author","Rizzoli, Silvio O."],["dc.contributor.author","Fornasiero, Eugenio F."],["dc.date.accessioned","2019-07-09T11:50:21Z"],["dc.date.available","2019-07-09T11:50:21Z"],["dc.date.issued","2018"],["dc.description.abstract","The homeostasis of the proteome depends on the tight regulation of the mRNA and protein abundances, of the translation rates, and of the protein lifetimes. Results from several studies on prokaryotes or eukaryotic cell cultures have suggested that protein homeostasis is connected to, and perhaps regulated by, the protein and the codon sequences. However, this has been little investigated for mammals in vivo. Moreover, the link between the coding sequences and one critical parameter, the protein lifetime, has remained largely unexplored, both in vivo and in vitro. We tested this in the mouse brain, and found that the percentages of amino acids and codons in the sequences could predict all of the homeostasis parameters with a precision approaching experimental measurements. A key predictive element was the wobble nucleotide. G-/C-ending codons correlated with higher protein lifetimes, protein abundances, mRNA abundances and translation rates than A-/U-ending codons. Modifying the proportions of G-/C-ending codons could tune these parameters in cell cultures, in a proof-of-principle experiment. We suggest that the coding sequences are strongly linked to protein homeostasis in vivo, albeit it still remains to be determined whether this relation is causal in nature."],["dc.identifier.doi","10.1038/s41598-018-35277-8"],["dc.identifier.pmid","30443017"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15918"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59754"],["dc.identifier.url","https://mbexc.uni-goettingen.de/literature/publications/209"],["dc.identifier.url","https://sfb1190.med.uni-goettingen.de/production/literature/publications/44"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation","info:eu-repo/grantAgreement/EC/FP7/339580/EU//MITRAC"],["dc.relation","info:eu-repo/grantAgreement/EC/FP7/614765/EU//NEUROMOLANATOMY"],["dc.relation","EXC 2067: Multiscale Bioimaging"],["dc.relation","SFB 1190: Transportmaschinen und Kontaktstellen zellulärer Kompartimente"],["dc.relation","SFB 1190 | P09: Proteinsortierung in der Synapse: Prinzipien und molekulare Organisation"],["dc.relation.issn","2045-2322"],["dc.relation.workinggroup","RG A. Fischer (Epigenetics and Systems Medicine in Neurodegenerative Diseases)"],["dc.relation.workinggroup","RG Rehling (Mitochondrial Protein Biogenesis)"],["dc.relation.workinggroup","RG Rizzoli (Quantitative Synaptology in Space and Time)"],["dc.relation.workinggroup","RG Urlaub (Bioanalytische Massenspektrometrie)"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","610"],["dc.title","The codon sequences predict protein lifetimes and other parameters of the protein life cycle in the mouse brain"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Molecular Psychiatry"],["dc.contributor.author","Butt, Umer Javed"],["dc.contributor.author","Steixner-Kumar, Agnes A."],["dc.contributor.author","Depp, Constanze"],["dc.contributor.author","Sun, Ting"],["dc.contributor.author","Hassouna, Imam"],["dc.contributor.author","Wüstefeld, Liane"],["dc.contributor.author","Arinrad, Sahab"],["dc.contributor.author","Zillmann, Matthias R."],["dc.contributor.author","Schopf, Nadine"],["dc.contributor.author","Fernandez Garcia-Agudo, Laura"],["dc.contributor.author","Mohrmann, Leonie"],["dc.contributor.author","Bode, Ulli"],["dc.contributor.author","Ronnenberg, Anja"],["dc.contributor.author","Hindermann, Martin"],["dc.contributor.author","Goebbels, Sandra"],["dc.contributor.author","Bonn, Stefan"],["dc.contributor.author","Katschinski, Dörthe M."],["dc.contributor.author","Miskowiak, Kamilla W."],["dc.contributor.author","Nave, Klaus-Armin"],["dc.contributor.author","Ehrenreich, Hannelore"],["dc.date.accessioned","2021-04-14T08:28:40Z"],["dc.date.available","2021-04-14T08:28:40Z"],["dc.date.issued","2021"],["dc.description.abstract","Physical activity and cognitive challenge are established non-invasive methods to induce comprehensive brain activation and thereby improve global brain function including mood and emotional well-being in healthy subjects and in patients. However, the mechanisms underlying this experimental and clinical observation and broadly exploited therapeutic tool are still widely obscure. Here we show in the behaving brain that physiological (endogenous) hypoxia is likely a respective lead mechanism, regulating hippocampal plasticity via adaptive gene expression. A refined transgenic approach in mice, utilizing the oxygen-dependent degradation (ODD) domain of HIF-1α fused to CreERT2 recombinase, allows us to demonstrate hypoxic cells in the performing brain under normoxia and motor-cognitive challenge, and spatially map them by light-sheet microscopy, all in comparison to inspiratory hypoxia as strong positive control. We report that a complex motor-cognitive challenge causes hypoxia across essentially all brain areas, with hypoxic neurons particularly abundant in the hippocampus. These data suggest an intriguing model of neuroplasticity, in which a specific task-associated neuronal activity triggers mild hypoxia as a local neuron-specific as well as a brain-wide response, comprising indirectly activated neurons and non-neuronal cells."],["dc.identifier.doi","10.1038/s41380-020-00988-w"],["dc.identifier.pmid","33564132"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82678"],["dc.identifier.url","https://rdp.sfb274.de/literature/publications/31"],["dc.identifier.url","https://sfb1286.uni-goettingen.de/literature/publications/104"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation","TRR 274: Checkpoints of Central Nervous System Recovery"],["dc.relation","TRR 274 | C01: Oligodendroglial NMDA receptors and NMDAR1 autoantibodies as determinants of axonal integrity in neuropsychiatric disease"],["dc.relation","SFB 1286: Quantitative Synaptologie"],["dc.relation","SFB 1286 | Z02: Integrative Datenanalyse und -interpretation. Generierung einer synaptisch-integrativen Datenstrategie (SynIDs)"],["dc.relation.eissn","1476-5578"],["dc.relation.issn","1359-4184"],["dc.relation.workinggroup","RG Ehrenreich (Clinical Neuroscience)"],["dc.relation.workinggroup","RG Nave (Neurogenetics)"],["dc.relation.workinggroup","RG Bonn"],["dc.rights","CC BY 4.0"],["dc.title","Hippocampal neurons respond to brain activity with functional hypoxia"],["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","4230"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Nature Communications"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Fornasiero, Eugenio F."],["dc.contributor.author","Mandad, Sunit"],["dc.contributor.author","Wildhagen, Hanna"],["dc.contributor.author","Alevra, Mihai"],["dc.contributor.author","Rammner, Burkhard"],["dc.contributor.author","Keihani, Sarva"],["dc.contributor.author","Opazo, Felipe"],["dc.contributor.author","Urban, Inga"],["dc.contributor.author","Ischebeck, Till"],["dc.contributor.author","Sakib, M. Sadman"],["dc.contributor.author","Fard, Maryam K."],["dc.contributor.author","Kirli, Koray"],["dc.contributor.author","Centeno, Tonatiuh Pena"],["dc.contributor.author","Vidal, Ramon O."],["dc.contributor.author","Rahman, Raza-Ur"],["dc.contributor.author","Benito, Eva"],["dc.contributor.author","Fischer, André"],["dc.contributor.author","Dennerlein, Sven"],["dc.contributor.author","Rehling, Peter"],["dc.contributor.author","Feussner, Ivo"],["dc.contributor.author","Bonn, Stefan"],["dc.contributor.author","Simons, Mikael"],["dc.contributor.author","Urlaub, Henning"],["dc.contributor.author","Rizzoli, Silvio O."],["dc.date.accessioned","2019-07-09T11:46:03Z"],["dc.date.available","2019-07-09T11:46:03Z"],["dc.date.issued","2018"],["dc.description.abstract","The turnover of brain proteins is critical for organism survival, and its perturbations are linked to pathology. Nevertheless, protein lifetimes have been difficult to obtain in vivo. They are readily measured in vitro by feeding cells with isotopically labeled amino acids, followed by mass spectrometry analyses. In vivo proteins are generated from at least two sources: labeled amino acids from the diet, and non-labeled amino acids from the degradation of pre-existing proteins. This renders measurements difficult. Here we solved this problem rigorously with a workflow that combines mouse in vivo isotopic labeling, mass spectrometry, and mathematical modeling. We also established several independent approaches to test and validate the results. This enabled us to measure the accurate lifetimes of ~3500 brain proteins. The high precision of our data provided a large set of biologically significant observations, including pathway-, organelle-, organ-, or cell-specific effects, along with a comprehensive catalog of extremely long-lived proteins (ELLPs)."],["dc.identifier.doi","10.1038/s41467-018-06519-0"],["dc.identifier.pmid","30315172"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15388"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59372"],["dc.identifier.url","https://sfb1190.med.uni-goettingen.de/production/literature/publications/42"],["dc.identifier.url","https://sfb1286.uni-goettingen.de/literature/publications/41"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.intern","In goescholar not merged with http://resolver.sub.uni-goettingen.de/purl?gs-1/15611 but duplicate"],["dc.relation","info:eu-repo/grantAgreement/EC/FP7/339580/EU//MITRAC"],["dc.relation","info:eu-repo/grantAgreement/EC/FP7/614765/EU//NEUROMOLANATOMY"],["dc.relation","SFB 1190: Transportmaschinen und Kontaktstellen zellulärer Kompartimente"],["dc.relation","SFB 1190 | P09: Proteinsortierung in der Synapse: Prinzipien und molekulare Organisation"],["dc.relation","SFB 1286: Quantitative Synaptologie"],["dc.relation","SFB 1286 | A03: Dynamische Analyse der Remodellierung der extrazellulären Matrix (ECM) als Mechanismus der Synapsenorganisation und Plastizität"],["dc.relation.issn","2041-1723"],["dc.relation.workinggroup","RG Rehling (Mitochondrial Protein Biogenesis)"],["dc.relation.workinggroup","RG Rizzoli (Quantitative Synaptology in Space and Time)"],["dc.relation.workinggroup","RG Urlaub (Bioanalytische Massenspektrometrie)"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.subject.ddc","573"],["dc.subject.ddc","612"],["dc.title","Precisely measured protein lifetimes in the mouse brain reveal differences across tissues and subcellular fractions."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","D204"],["dc.bibliographiccitation.issue","D1"],["dc.bibliographiccitation.journal","Nucleic Acids Research"],["dc.bibliographiccitation.lastpage","D219"],["dc.bibliographiccitation.volume","48"],["dc.contributor.author","Rahman, Raza-Ur"],["dc.contributor.author","Liebhoff, Anna-Maria"],["dc.contributor.author","Bansal, Vikas"],["dc.contributor.author","Fiosins, Maksims"],["dc.contributor.author","Rajput, Ashish"],["dc.contributor.author","Sattar, Abdul"],["dc.contributor.author","Magruder, Daniel S"],["dc.contributor.author","Madan, Sumit"],["dc.contributor.author","Sun, Ting"],["dc.contributor.author","Gautam, Abhivyakti"],["dc.contributor.author","Heins, Sven"],["dc.contributor.author","Liwinski, Timur"],["dc.contributor.author","Bethune, Jörn"],["dc.contributor.author","Trenkwalder, Claudia"],["dc.contributor.author","Fluck, Juliane"],["dc.contributor.author","Mollenhauer, Brit"],["dc.contributor.author","Bonn, Stefan"],["dc.date.accessioned","2020-12-10T18:19:36Z"],["dc.date.available","2020-12-10T18:19:36Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1093/nar/gkz869"],["dc.identifier.eissn","1362-4962"],["dc.identifier.issn","0305-1048"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/75307"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","SEAweb: the small RNA Expression Atlas web application"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","109"],["dc.bibliographiccitation.journal","iScience"],["dc.bibliographiccitation.lastpage","126"],["dc.bibliographiccitation.volume","4"],["dc.contributor.author","Narayanan, Ramanathan"],["dc.contributor.author","Pham, Linh"],["dc.contributor.author","Kerimoglu, Cemil"],["dc.contributor.author","Watanabe, Takashi"],["dc.contributor.author","Castro Hernandez, Ricardo"],["dc.contributor.author","Sokpor, Godwin"],["dc.contributor.author","Ulmke, Pauline Antonie"],["dc.contributor.author","Kiszka, Kamila A."],["dc.contributor.author","Tonchev, Anton B."],["dc.contributor.author","Rosenbusch, Joachim"],["dc.contributor.author","Seong, Rho H."],["dc.contributor.author","Teichmann, Ulrike"],["dc.contributor.author","Frahm, Jens"],["dc.contributor.author","Fischer, Andre"],["dc.contributor.author","Bonn, Stefan"],["dc.contributor.author","Stoykova, Anastassia"],["dc.contributor.author","Staiger, Jochen F."],["dc.contributor.author","Tuoc, Tran"],["dc.date.accessioned","2020-12-10T14:24:42Z"],["dc.date.available","2020-12-10T14:24:42Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1016/j.isci.2018.05.014"],["dc.identifier.issn","2589-0042"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/72326"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Chromatin Remodeling BAF155 Subunit Regulates the Genesis of Basal Progenitors in Developing Cortex"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Der Internist"],["dc.bibliographiccitation.volume","57"],["dc.contributor.author","Khadjeh, Sara"],["dc.contributor.author","Vidal, Ramon"],["dc.contributor.author","Capece, V."],["dc.contributor.author","Lbik, D."],["dc.contributor.author","Mohamed, B."],["dc.contributor.author","Danner, Bernhard Christoph"],["dc.contributor.author","Sossalla, Samuel T."],["dc.contributor.author","Fischer, A."],["dc.contributor.author","Bonn, Stefan"],["dc.contributor.author","Hasenfuß, Gerd"],["dc.contributor.author","Toischer, Karl"],["dc.date.accessioned","2018-11-07T10:15:52Z"],["dc.date.available","2018-11-07T10:15:52Z"],["dc.date.issued","2016"],["dc.format.extent","S61"],["dc.identifier.isi","000375417500120"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/40903"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Springer"],["dc.publisher.place","New york"],["dc.relation.issn","1432-1289"],["dc.relation.issn","0020-9554"],["dc.title","Of mice and men - a direct comparison of signaling in pressure overload induced hypertrophy and failure"],["dc.type","conference_abstract"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]