Author

Christian Gnann

Science for Life LaboratoryORCID 0000-0001-6566-3559Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Assay:proteomics· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:microscopy & imaging analysis· 1

Frequent Co-Authors

Emma K. LundbergiD· 2 shared Alina SigaevaiD· 1 shared András KristoniD· 1 shared Andreas MundiD· 1 shared Andreas‐David BrunneriD· 1 shared Anthony J. CesnikiD· 1 shared Beatrice Dyring‐AnderseniD· 1 shared Cecilia LindskogiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersCell Biology

Emma K. LundbergORCID

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2 papers

Recent·Most cited

Cell BiologyNature CommunicationsPeer-reviewedJul 2, 2026

Dissecting autonomous enzyme variability in single cells

Christian Gnann, Alina Sigaeva, Trang H. Le…·Emma K. Lundberg

The paper uses single-cell spatial proteomics to show that metabolic enzyme expression and localization vary between cells, revealing autonomous metabolic heterogeneity.

4 citationstop 4%

humanspatial transcriptomics

𝕏 PostBluesky

Systems BiologybioRxivPreprintJan 25, 2021

AI-driven Deep Visual Proteomics defines cell identity and heterogeneity

Andreas Mund, Fabian Coscia, Réka Hollandi…·Matthias Mann

Pairing AI-driven image analysis with automated laser microdissection and sensitive mass spectrometry yields proteomes of single cells or nuclei chosen by their morphology, with tissue position retained.

46 citations

humanproteomics

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