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Cell shapes decode molecular phenotypes in image-based spatial proteomics
KTH, Centres, Science for Life Laboratory, SciLifeLab. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH). Department of Bioengineering, Stanford University, Stanford, CA, USA.
Department of Bioengineering, Stanford University, Stanford, CA, USA.
Allen Institute for Cell Sciences, Seattle, WA, USA.
Department of Bioengineering, Stanford University, Stanford, CA, USA.
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2026 (English)In: Cell Systems, ISSN 2405-4712, E-ISSN 2405-4720, article id 101589Article in journal (Refereed) Epub ahead of print
Abstract [en]

Cellular and tissue structures arise from a few cell shapes, which undergo transformations based on biophysical constraints. Despite links between signaling pathways and cellular geometry, whole-proteome orchestration in association with cell shape is underexplored. In this study, over 1 million single cells stained for 11,998 proteins across 11 cell lines in the Human Protein Atlas were analyzed for organelle, pathway, and single-protein levels in association with cellular shapespace. We found that cell and nuclear shapes across cell lines exist in a shared continuum. The subcellular organelle topology varies across cell lines but remains consistent within each cell line's shapespace. At the single-protein level, cells of different shapes in the same cell-cycle phase might be preparing for different fates, and many non-cell-cycle proteins expressed shape-based abundance variation. Using a shape-based coordinate framework, we analyzed the distribution shift of protein spatial localization under drug perturbation.

Place, publisher, year, edition, pages
Elsevier BV , 2026. article id 101589
Keywords [en]
cell shape, interpretable machine learning, molecular variation, morphological variation, single cell, spatial proteomics
National Category
Cell Biology Cell and Molecular Biology
Identifiers
URN: urn:nbn:se:kth:diva-381092DOI: 10.1016/j.cels.2026.101589PubMedID: 42013840Scopus ID: 2-s2.0-105036292748OAI: oai:DiVA.org:kth-381092DiVA, id: diva2:2059075
Note

QC 20260511

Available from: 2026-05-11 Created: 2026-05-11 Last updated: 2026-05-11Bibliographically approved

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Le, TrangHansen, Jan N.Ouyang, WeiKäller Lundberg, Emma

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Le, TrangHansen, Jan N.Ouyang, WeiKäller Lundberg, Emma
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Science for Life Laboratory, SciLifeLabSchool of Engineering Sciences in Chemistry, Biotechnology and Health (CBH)BiophysicsBiomedical proteomics
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Cell Systems
Cell BiologyCell and Molecular Biology

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