Author

C. J. Sundberg

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

Biology Disciplines

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Cell Biology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Assay:metabolomics· 1

Frequent Co-Authors

M. A. Chapman· 2 shared S. M. Reitzner· 2 shared A. Lundquist· 1 shared A. Mardinoglu· 1 shared A. T.-J. Kwon· 1 shared B. Kaczkowski· 1 shared E. Arner· 1 shared E. B. Emanuelsson· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersPhysiology

M. A. Chapman

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Author profile →

2 papers

Recent·Most cited

Molecular profiling of high-level athlete skeletal muscle after acute exercise - a systems biology approach

S. M. Reitzner, E. B. Emanuelsson, M. Arif, B. Kaczkowski, A. T.-J. Kwon, A. Mardinoglu, E. Arner, M. A. Chapman, C. J. Sundberg

This study examines how acute exercise affects multi-omics profiles in skeletal muscle of trained and untrained individuals, revealing distinct metabolic and transcriptional responses based on training history and exercise type.

bioRxiv · Apr 11, 2023Physiology

FiNuTyper: an automated deep learning-based platform for simultaneous fiber and nucleus type analysis in human skeletal muscle

A. Lundquist, E. Lazar, N. S. Han, E. Emanuelsson, S. M. Reitzner, M. A. Chapman, K. Alkass, H. Druid, S. Petri, C. J. Sundberg, O. Bergmann

FiNuTyper automates fiber and nucleus type analysis in human skeletal muscle, revealing gender- and muscle-related heterogeneity and adapting to pathological and other cell types.

bioRxiv · Dec 8, 2022 · PreprintCell Biology