A cell type-resolved proteomic atlas of the human body

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Authors: Caroline A M Weiss, Evelina Sjöstedt, Adhiraj Debnath, Shani Ben‐Moshe, Lucas Diedrich, Martin Zwahlen, Marc Oeller, Maria Wahle, Emilio Skarwan, Tim Heymann, Denys Oliinyk, Elena Kratz
+11 more Andreas Metousis, Christian Joerg Braun, Heribert Schunkert, Fredric Johansson, Emma Lundberg, Kalle von Feilitzen, Cecilia Lindskog, Florian A. Rosenberger, Moritz von Scheidt, Mathias Uhlén, Matthias Mann
Cited by: 2
References: 63

Abstract

Abstract Proteins define what cells do, yet their systematic quantification across human cell types has remained out of reach. Using Deep Visual Proteomics on tissue from a healthy female donor, we built an atlas of 27 cell types across 14 tissues, quantifying two-thirds of all human protein-coding genes, with up to 8,500 per population. The proteome partitions bimodally into a universal core and highly specialized programs. Integration into the Human Protein Atlas Single Cell Resource enabled comparison of RNA and protein abundance at cell type resolution, revealing that concordance depends on pathway rather than cellular identity. This resolution uncovered cancer-testis antigens in oocytes invisible to bulk profiling. Our openly accessible resource provides a foundation for cell type-resolved proteomics in health and disease.

Fields of Study & Subjects

Single-cell and spatial transcriptomics Advanced Proteomics Techniques and Applications Cell Image Analysis Techniques

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publisher
openRxiv
Publication date
27 May 2026
Document type
Preprint