Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Karin Ortmayr"'
Autor:
Jacqueline Schwarzinger, Sigrid Adelsberger, Karin Ortmayr, Sarah Luise Stellnberger, Ammar Tahir, Gabriela Hädrich, Verena Pichler, Judith M. Rollinger, Ulrike Grienke, Lea Ann Dailey
Publikováno v:
International Journal of Pharmaceutics: X, Vol 8, Iss , Pp 100272- (2024)
Mulberry Diels-Alder-type adducts (MDAAs), isolated from Morus alba root bark, exhibit dual activity against viral and bacterial pathogens but show sobering efficacy following oral administration. Inhalation administration may overcome issues with or
Externí odkaz:
https://doaj.org/article/e9be9308e44d46ea9c86d78a38415c61
Autor:
Karin Ortmayr, Mattia Zampieri
Publikováno v:
Molecular Systems Biology, Vol 18, Iss 9, Pp 1-20 (2022)
Abstract Quiescent cancer cells are rare nondiving cells with the unique ability to evade chemotherapies and resume cell division after treatment. Despite the associated risk of cancer recurrence, how cells can reversibly switch between rapid prolife
Externí odkaz:
https://doaj.org/article/fcae0e5559a94c6d9da8b4bf5c4a83bf
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
Aberrant gene expression in cancer coincides with drastic changes in metabolism. Here, the authors combined metabolome, transcriptome and proteome data in 54 cancer cell lines to uncover a genome-scale network of associations between transcriptional
Externí odkaz:
https://doaj.org/article/19a0aeae043341178fd7a04d59da82b2
Autor:
Miquel Anglada-Girotto, Gabriel Handschin, Karin Ortmayr, Adrian I. Campos, Ludovic Gillet, Pablo Manfredi, Claire V. Mulholland, Michael Berney, Urs Jenal, Paola Picotti, Mattia Zampieri
No abstract available.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5928ca014cf8af9927b4a9e856f0da1f
https://edoc.unibas.ch/90016/
https://edoc.unibas.ch/90016/
Autor:
Miquel Anglada-Girotto, Gabriel Handschin, Karin Ortmayr, Adrian I. Campos, Ludovic Gillet, Pablo Manfredi, Claire V. Mulholland, Michael Berney, Urs Jenal, Paola Picotti, Mattia Zampieri
Publikováno v:
Nat Chem Biol
Nature Chemical Biology, 18 (5)
Nature Chemical Biology, 18 (5)
Molecular profiling of small molecules offers invaluable insights into the function of compounds and allows for hypothesis generation about small-molecule direct targets and secondary effects. However, current profiling methods are limited in either
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cdf68ce888452fcae1c8d0a77328e3a
https://edoc.unibas.ch/90015/
https://edoc.unibas.ch/90015/
Publikováno v:
Nature Chemical Biology, 18 (6)
New techniques for systematic profiling of small-molecule effects can enhance traditional growth inhibition screens for antibiotic discovery and change how we search for new antibacterial agents. Computational models that integrate physicochemical co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::019fa400f8667f1a20363e12ec47aa5a
https://pubmed.ncbi.nlm.nih.gov/35606559
https://pubmed.ncbi.nlm.nih.gov/35606559
Publikováno v:
The Analyst. 142:80-90
The p-value is the most prominent established metric for statistical significance in non-targeted metabolomics. However, its adequacy has repeatedly been the subject of discussion criticizing its uncertainty and its dependence on sample size and stat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d1499905da9f5b97da2246db98e2daf
https://doi.org/10.1039/c6an01342b
https://doi.org/10.1039/c6an01342b
Publikováno v:
TrAC Trends in Analytical Chemistry. 82:358-366
The term non-targeted metabolomics implies a global and unbiased analysis. This involves the complex (and yet not routine) task of correct alignment and eventually annotation of statistically grouped ions as known metabolites according to accurate ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a77c9c1b414db071a2443a68e35835c
https://doi.org/10.1016/j.trac.2016.06.011
https://doi.org/10.1016/j.trac.2016.06.011
Metabolic profiling of cell line collections have become an invaluable tool to study disease etiology, drug modes of action and personalized medicine. However, large-scalein vitrodynamic metabolic profiling is limited by time-consuming sampling and c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edc078b549766c9afccc2bed7409ed4c
https://doi.org/10.1101/250670
https://doi.org/10.1101/250670
Transcriptional reprogramming of cellular metabolism is a hallmark feature of cancer. However, a systematic approach to study the role of transcription factors (TFs) in mediating cancer metabolic rewiring is missing. Here, we chart a genome-scale map
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de2755fd733b5ab6f230b5186d11a9de
https://doi.org/10.1101/250399
https://doi.org/10.1101/250399