Mund, Andreas

Deep Visual Proteomics defines single-cell identity and heterogeneity

Mund, A., Coscia, F., Kriston, A., Hollandi, R., Kovács, F., Brunner, A.-D., Migh, E., Schweizer, L., Santos, A., Bzorek, M., et al. (2022) · Nature Biotechnology

Advanced Proteomics Techniques and ApplicationsSingle-cell and spatial transcriptomics

Cited by 562

Ultra‐high sensitivity mass spectrometry quantifies single‐cell proteome changes upon perturbation

Brunner, A., Thielert, M., Vasilopoulou, C., Ammar, C., Coscia, F., Mund, A., Hoerning, O. B., Bache, N., Apalategui, A., Lubeck, M., et al. (2022) · Molecular Systems Biology

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 544

Unbiased spatial proteomics with single-cell resolution in tissues

Mund, A., Brunner, A.-D., & Mann, M. (2022) · Molecular Cell

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 259

A streamlined mass spectrometry–based proteomics workflow for large-scale FFPE tissue analysis

Coscia, F., Doll, S., Bech, J. M., Schweizer, L., Mund, A., Lengyel, E., Lindebjerg, J., Madsen, G. I., Moreira, J. M., & Mann, M. (2020) · The Journal of Pathology

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 200

Spatial single-cell mass spectrometry defines zonation of the hepatocyte proteome

Rosenberger, F. A., Thielert, M., Strauss, M. T., Schweizer, L., Ammar, C., Mädler, S. C., Metousis, A., Skowronek, P., Wahle, M., Madden, K., et al. (2023) · Nature Methods

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 176