A
Arno Lukas
Researcher at University of Vienna
Publications - 44
Citations - 1109
Arno Lukas is an academic researcher from University of Vienna. The author has contributed to research in topics: Nephrotoxicity & Systems biology. The author has an hindex of 19, co-authored 44 publications receiving 1021 citations.
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Journal ArticleDOI
Application of integrated transcriptomic, proteomic and metabolomic profiling for the delineation of mechanisms of drug induced cell stress.
Anja Wilmes,Alice Limonciel,Lydia Aschauer,Konrad Moenks,Chris Bielow,Martin O. Leonard,Jeremy Hamon,Donatella Carpi,Silke Ruzek,Andreas Handler,Olga Schmal,Karin Herrgen,Patricia Bellwon,Christof Burek,Germaine L. Truisi,Germaine L. Truisi,Philip G. Hewitt,Emma Di Consiglio,Emanuela Testai,Bas J. Blaauboer,Claude Guillou,Christian G. Huber,Arno Lukas,Walter Pfaller,Stefan O. Mueller,Stefan O. Mueller,Frédéric Y. Bois,Wolfgang Dekant,Paul Jennings +28 more
TL;DR: It is demonstrated for the first time that CsA-induced stress is not directly linked to its primary pharmacology, and the power of integrated omics for the elucidation of signaling cascades brought about by compound induced cell stress is demonstrated.
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Mouse Mammary Tumor Virus Integration Site Selection in Human and Mouse Genomes
Alexander Faschinger,Francoise Rouault,Johannes Söllner,Arno Lukas,Brian Salmons,Walter H. Günzburg,Stanislav Indik +6 more
TL;DR: MMTV displays the most random dispersion of integration sites among retroviruses determined so far, and not even a modest tendency in favor of integration within genes was observed.
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Characterization of protein-interaction networks in tumors
TL;DR: Cancer PINs representing differentially regulated genes are larger than those of randomly selected protein lists, indicating functional dependencies among protein lists that can be identified on the basis of transcriptomics experiments, but the prevalence of hub proteins was not increased in the presence of cancer.
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Analysis and prediction of protective continuous B-cell epitopes on pathogen proteins
TL;DR: This work presents a computational method to automatically select and rank peptides for the stimulation of potentially protective or otherwise functionally altering antibodies and shows that integration of variability, post-translational modification pattern conservation and B-cell antigenicity improve rational selection over random guessing.
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Protein biomarkers associated with acute renal failure and chronic kidney disease.
TL;DR: This review summarizes protein markers discussed in the context of ARF as well as CKD, and provides an overview on currently available discovery results following ‘omics’ techniques.