Author

Sara Schanda

TUM Klinikum

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Systems Biology· 1

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

Andreas MetousisiD· 1 shared Ankit SinhaiD· 1 shared Annalena HuberiD· 1 shared Daniela BranzaniD· 1 shared Elena KratziD· 1 shared Jessica PauliiD· 1 shared Lars MäegdefesseliD· 1 shared Matthias ManniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperSystems Biology

Andreas MetousisORCID

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1 paper

Recent·Most cited

Deep Visual Proteomics links vascular smooth muscle cell phenotypes to atherosclerotic plaque stability

Elena Kratz, Ankit Sinha, Trusha Adeshara, Valentina Paloschi, Nadja Sachs, Jessica Pauli, Nadyia Glukha, Annalena Huber, Sara Schanda, Andreas Metousis, Tim Heymann, Daniela Branzan, Tore Bleckwehl, Sikander Hayat, Lars Mäegdefessel, Matthias Mann

This study uses Deep Visual Proteomics to analyze VSMC phenotypes in atherosclerotic plaques, finding spatially distinct phenotype distributions and a shift toward dedifferentiated states in unstable plaques.

bioRxiv · Jul 17, 2026 · PreprintSystems Biology