
Articles
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4 weeks ago |
nature.com | Florian A. Rosenberger |Sophia C. Mädler |Katrine Holtz Thorhauge |Malin Fromme |Mikhail Lebedev |Marc Oeller | +7 more
AbstractProtein misfolding diseases, including α1-antitrypsin deficiency (AATD), pose substantial health challenges, with their cellular progression still poorly understood1,2,3. We use spatial proteomics by mass spectrometry and machine learning to map AATD in human liver tissue. Combining Deep Visual Proteomics (DVP) with single-cell analysis4,5, we probe intact patient biopsies to resolve molecular events during hepatocyte stress in pseudotime across fibrosis stages.
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Feb 10, 2025 |
mdpi.com | Anatoly K. Kychkin |Oleg V. Startsev |Mikhail Lebedev |Aisen Kychkin
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Jan 5, 2024 |
frontiersin.org | Mikhail Lebedev
V. Zelman Center for Neurobiology and Brain Rehabilitation, Skolkovo Institute of Science and Technology, Russia National Research University Higher School of Economics, Russia Institute for Artificial Intelligence, Lomonosov Moscow State University,, Russia Faculty of Mechanics and Mathematics, Lomonosov Moscow State University, Russia Institute of Evolutionary Physiology and Biochemistry (RAS), RussiaThe final, formatted version of the article will be published soon.
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