Institution
University of Tübingen
Education•Tübingen, Germany•
About: University of Tübingen is a education organization based out in Tübingen, Germany. It is known for research contribution in the topics: Population & Transplantation. The organization has 40555 authors who have published 84108 publications receiving 3015320 citations. The organization is also known as: Eberhard Karls University & Eberhard-Karls-Universität Tübingen.
Topics: Population, Transplantation, Immune system, Antigen, T cell
Papers published on a yearly basis
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University of Marburg1, University of Pittsburgh2, Mayo Clinic3, University of Pennsylvania4, University College London5, University of Louisville6, Case Western Reserve University7, Erasmus University Rotterdam8, VU University Amsterdam9, University of Tübingen10, University of Barcelona11, University of Brescia12, University of Navarra13, National Institutes of Health14, Scripps Research Institute15, University of British Columbia16, University of Washington17, Rutgers University18, University of Giessen19, University of Michigan20, University of Würzburg21, Autonomous University of Madrid22, German Center for Neurodegenerative Diseases23, Karolinska Institutet24, University of California, Los Angeles25, French Institute of Health and Medical Research26, Centre national de la recherche scientifique27, Medical University of Vienna28, Sapienza University of Rome29, University of Antwerp30, Mount Sinai Hospital31, Flinders University32, Harvard University33, University of California, San Diego34, Emory University35, Indiana University36, Rush University Medical Center37, University of Toronto38, Baylor College of Medicine39, University of California, San Francisco40, Ludwig Maximilian University of Munich41, University of Kansas42, Mental Health Research Institute43, University of Göttingen44, Cardiff University45, Newcastle University46, University of Manchester47, Innsbruck Medical University48, Carlos III Health Institute49, University of Saskatchewan50, University of Maryland, Baltimore51, University of Cambridge52, University of Alabama at Birmingham53, Veterans Health Administration54, King's College London55, Johns Hopkins University56, Columbia University57, University of Texas Southwestern Medical Center58, University of Southern California59
TL;DR: Two independent variants in MAPT affecting risk for PSP are confirmed, one of which influences MAPT brain expression and the genes implicated encode proteins for vesicle-membrane fusion at the Golgi-endosomal interface and for a myelin structural component.
Abstract: Progressive supranuclear palsy (PSP) is a movement disorder with prominent tau neuropathology. Brain diseases with abnormal tau deposits are called tauopathies, the most common of which is Alzheimer's disease. Environmental causes of tauopathies include repetitive head trauma associated with some sports. To identify common genetic variation contributing to risk for tauopathies, we carried out a genome-wide association study of 1,114 individuals with PSP (cases) and 3,247 controls (stage 1) followed by a second stage in which we genotyped 1,051 cases and 3,560 controls for the stage 1 SNPs that yielded P ≤ 10−3. We found significant previously unidentified signals (P < 5 × 10−8) associated with PSP risk at STX6, EIF2AK3 and MOBP. We confirmed two independent variants in MAPT affecting risk for PSP, one of which influences MAPT brain expression. The genes implicated encode proteins for vesicle-membrane fusion at the Golgi-endosomal interface, for the endoplasmic reticulum unfolded protein response and for a myelin structural component.
504 citations
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TL;DR: This Review focuses on recent advances in the understanding of the transcriptional functions of NFAT proteins in the immune system and provides new insights into their potential roles in cancer development.
Abstract: Nuclear factor of activated T cells (NFAT) was first identified more than two decades ago as a major stimulation-responsive DNA-binding factor and transcriptional regulator in T cells. It is now clear that NFAT proteins have important functions in other cells of the immune system and regulate numerous developmental programmes in vertebrates. Dysregulation of these programmes can lead to malignant growth and cancer. This Review focuses on recent advances in our understanding of the transcriptional functions of NFAT proteins in the immune system and provides new insights into their potential roles in cancer development.
504 citations
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TL;DR: Among the tyrosine kinase inhibitors that are commercially available as yet, the agents that target EGFR, erlotinib and gefitinib, display the broadest spectrum of adverse effects on skin and hair, including folliculitis, paronychia, facial hair growth, facial erythema, and varying forms of frontal alopecia.
Abstract: Tyrosine kinase inhibitors (TKI) are effective in the targeted treatment of various malignancies. Imatinib was the first to be introduced into clinical oncology, and it was followed by drugs such as gefitinib, erlotinib, sorafenib, sunitinib, and dasatinib. Although they share the same mechanism of action, namely competitive ATP inhibition at the catalytic binding site of tyrosine kinase, they differ from each other in the spectrum of targeted kinases, their pharmacokinetics as well as substance-specific adverse effects. With variations from drug to drug, tyrosine kinase inhibitors cause skin toxicity, including folliculitis, in more than 50% of patients. Among the tyrosine kinase inhibitors that are commercially available as yet, the agents that target EGFR, erlotinib and gefitinib, display the broadest spectrum of adverse effects on skin and hair, including folliculitis, paronychia, facial hair growth, facial erythema, and varying forms of frontal alopecia. In contrast, folliculitis is not common during administration of sorafenib and sunitinib, which target VEGFR, PDGFR, FLT3, and others, whereas both agents have been associated with subungual splinter hemorrhages. Periorbital edema is a common adverse effect of imatinib. Besides the haematological side effects of most of TKIs like anemia, thrombopenia and neutropenia, the most common extra-heamatologic adverse effects are edema, nausea, hypothyroidism, vomiting and diarrhea. Regarding possible long term effects, recently cardiac toxicity with congestive heart failure is under debate in patients receiving imatinib and sunitinib therapy; however, this observation was probably relate to patients selection, although, TKIs overall appear to be a very well tolerated drug class.
503 citations
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TL;DR: The time-dependent variational principle provides a unifying framework for time-evolution methods and optimization methods in the context of matrix product states and a new integration scheme for studying time evolution, which can cope with arbitrary Hamiltonians, including those with long-range interactions.
Abstract: We show that the time-dependent variational principle provides a unifying framework for time-evolution methods and optimization methods in the context of matrix product states. In particular, we introduce a new integration scheme for studying time evolution, which can cope with arbitrary Hamiltonians, including those with long-range interactions. Rather than a Suzuki-Trotter splitting of the Hamiltonian, which is the idea behind the adaptive time-dependent density matrix renormalization group method or time-evolving block decimation, our method is based on splitting the projector onto the matrix product state tangent space as it appears in the Dirac-Frenkel time-dependent variational principle. We discuss how the resulting algorithm resembles the density matrix renormalization group (DMRG) algorithm for finding ground states so closely that it can be implemented by changing just a few lines of code and it inherits the same stability and efficiency. In particular, our method is compatible with any Hamiltonian for which ground-state DMRG can be implemented efficiently. In fact, DMRG is obtained as a special case of our scheme for imaginary time evolution with infinite time step.
503 citations
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TL;DR: Recursive Feature Elimination and Zero-Norm Optimization which are based on the training of support vector machines (SVM) can provide more accurate solutions than standard filter methods for feature selection for EEG channels.
Abstract: Designing a brain computer interface (BCI) system one can choose from a variety of features that may be useful for classifying brain activity during a mental task. For the special case of classifying electroencephalogram (EEG) signals we propose the usage of the state of the art feature selection algorithms Recursive Feature Elimination and Zero-Norm Optimization which are based on the training of support vector machines (SVM) . These algorithms can provide more accurate solutions than standard filter methods for feature selection . We adapt the methods for the purpose of selecting EEG channels. For a motor imagery paradigm we show that the number of used channels can be reduced significantly without increasing the classification error. The resulting best channels agree well with the expected underlying cortical activity patterns during the mental tasks. Furthermore we show how time dependent task specific information can be visualized.
503 citations
Authors
Showing all 41039 results
Name | H-index | Papers | Citations |
---|---|---|---|
John Q. Trojanowski | 226 | 1467 | 213948 |
Lily Yeh Jan | 162 | 467 | 73655 |
Monique M.B. Breteler | 159 | 546 | 93762 |
Wolfgang Wagner | 156 | 2342 | 123391 |
Thomas Meitinger | 155 | 716 | 108491 |
Hermann Brenner | 151 | 1765 | 145655 |
Amartya Sen | 149 | 689 | 141907 |
Bernhard Schölkopf | 148 | 1092 | 149492 |
Niels Birbaumer | 142 | 835 | 77853 |
Detlef Weigel | 142 | 516 | 84670 |
Peter Lang | 140 | 1136 | 98592 |
Marco Colonna | 139 | 512 | 71166 |
António Amorim | 136 | 1477 | 96519 |
Alexis Brice | 135 | 870 | 83466 |
Elias Campo | 135 | 761 | 85160 |