Author
Listed:
- Luciano A. Masullo
(Max Planck Institute of Biochemistry)
- Rafal Kowalewski
(Max Planck Institute of Biochemistry
Ludwig Maximilian University)
- Monique Honsa
(Max Planck Institute of Biochemistry
Ludwig Maximilian University)
- Larissa Heinze
(Max Planck Institute of Biochemistry
Ludwig Maximilian University)
- Shuhan Xu
(Max Planck Institute of Biochemistry)
- Philipp R. Steen
(Max Planck Institute of Biochemistry
Ludwig Maximilian University)
- Heinrich Grabmayr
(Max Planck Institute of Biochemistry
Ludwig Maximilian University)
- Isabelle Pachmayr
(Max Planck Institute of Biochemistry
Ludwig Maximilian University)
- Susanne C. M. Reinhardt
(Max Planck Institute of Biochemistry
Ludwig Maximilian University)
- Ana Perovic
(Max Planck Institute of Biochemistry)
- Jisoo Kwon
(Max Planck Institute of Biochemistry)
- Ethan P. Oxley
(Monash University)
- Ross A. Dickins
(Monash University)
- Maartje M. C. Bastings
(École Polytechnique Fédérale de Lausanne)
- Ian A. Parish
(Peter MacCallum Cancer Centre
The University of Melbourne)
- Ralf Jungmann
(Max Planck Institute of Biochemistry
Ludwig Maximilian University)
Abstract
Latest advances in super-resolution microscopy allow the study of subcellular features at the level of single proteins, which could lead to discoveries in fundamental biological processes, specifically in cell signaling mediated by membrane receptors. Despite these advances, accurately extracting quantitative information on molecular arrangements of proteins at the 1–20 nm scale through rigorous image analysis remains a significant challenge. Here, we present SPINNA (Single-Protein Investigation via Nearest-Neighbor Analysis): an analysis framework that compares nearest-neighbor distances from experimental single-protein position data with those obtained from realistic simulations based on a user-defined model of protein oligomerization states. We demonstrate SPINNA in silico, in vitro, and in cells. In particular, we quantitatively assess the oligomerization of the epidermal growth factor receptor (EGFR) upon EGF treatment and investigate the dimerization of CD80 and PD-L1, key surface ligands involved in immune cell signaling. Importantly, we offer an open-source Python implementation and a GUI to facilitate SPINNA’s widespread use in the scientific community.
Suggested Citation
Luciano A. Masullo & Rafal Kowalewski & Monique Honsa & Larissa Heinze & Shuhan Xu & Philipp R. Steen & Heinrich Grabmayr & Isabelle Pachmayr & Susanne C. M. Reinhardt & Ana Perovic & Jisoo Kwon & Eth, 2025.
"Spatial and stoichiometric in situ analysis of biomolecular oligomerization at single-protein resolution,"
Nature Communications, Nature, vol. 16(1), pages 1-11, December.
Handle:
RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-59500-z
DOI: 10.1038/s41467-025-59500-z
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