Author

Diana Mahdessian

Science for Life LaboratoryORCID 0000-0003-0750-1070Unclaimed 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· 3 Research Focus:differential expression· 3 Organism:human· 3 Assay:proteomics· 3 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Emma K. LundbergiD· 3 shared Ulrika AxelssoniD· 3 shared Cecilia LindskogiD· 2 shared Mathias UhléniD· 2 shared Trang H. LeiD· 2 shared Alexandra Johannesson· 1 shared Alina SigaevaiD· 1 shared András KristoniD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersCell Biology

Emma K. LundbergORCID

Mutual co-authors in cluster

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3 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

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Cell BiologyCellPeer-reviewedSep 26, 2025

Intrinsic Heterogeneity of Primary Cilia Revealed Through Spatial Proteomics

Jan N. Hansen, Huangqingbo Sun, Konstantin Kahnert…·Emma K. Lundberg

The paper uses spatial proteomics to analyze primary cilia proteomes across cell lines, revealing cell-type specificity and single-cilia heterogeneity, and identifies novel cilia proteins and potential genetic variants.

54 citationstop 1%

humanproteomics

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Cell BiologybioRxivPreprintApr 9, 2025

A Morpho-Proteomic Atlas of Mitosis at Sub-Minute Resolution

Ede Migh, Vivien Miczán, Frederik Post…·Péter Horváth

This study creates a high-resolution morpho-proteomic atlas of mitosis by decomposing it into 40 subsections and quantifying 4,350 proteins, revealing dynamic changes and links to cancer mutations.

2 citations

humanproteomics

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