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Quantitative determination of changes in the spatial distribution of components in single cells with CellDetail
Open accessPreprint — published as 10.1038/s41467-024-54638-8 · Paper page
Abstract
Deviations from the common distribution of proteins within cells are linked to aging and diseases. Analysis tools to determine quantitative changes in the spatial distribution of components inside cells are not well developed. To this end, we built the open-source automated analysis platform Cell Detection and Analysis of Intensity Lounge (CellDetail) together with a graphical user interface (GUI). The algorithm within CellDetail generates a physics-based, quantitative determination of spatial distributions of multiple proteins within a single cell. For example, CellDetail transforms previously reported binary changes (polar/apolar) in the intracellular distribution of the polarity proteins Cdc42 and Tubulin in young and aged hematopoietic stem cells (HSCs) into quantitative changes within the polarity space. Thirteen distinct Septin proteins form networks within cells that are critical for cell compartmentalization and maintenance of polarity. Changes in the structure of the Septin network within HSCs might therefore be linked to changes in polarity in aged HSCs. An immunofluorescence approach that identified 6 individual Septins within a single HSC was analyzed with CellDetail and revealed a critically reduced level of organization of this Septin network within aged HSCs. CellDetail thus provides complex 3D cell image analyses which allows for a quantitative determination of the spatial distributions of proteins and protein networks in single cells.
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References 51 · Cited by 7
Metadata
- Authors
- Geiger, H., Schuster, T., Amoah, A., Marka, G., Niemann, J., Sacma, M., Sakk, V., Soller, K., Vogel, M., & Vollmer, A.
- Affiliations
- Universität Ulm (DE)
- University of Ulm, Institute of Molecular Medicine
- Corresponding author
- Geiger, Hartmut
- Schuster, Tanja
- Venue
- Nature Communications
- Published
- 2024-01-16
- Volume
- 15
- Issue
- 1
- Pages
- 10250-10250
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC11599593
- OpenAlex
- W4404747465
- Cited by
- 7
- References
- 51
- Citations by year
- 2026: 3 · 2025: 4
- FWCI
- 1.35
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- Research Square (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- OPen Access Repositorium der Universität Ulm (OPARU) (Ulm University) (submittedVersion, cc-by)
- Universität Ulm, Kommunikations- und Informationszentrum (kiz) (cc-by)
- Funders
- Deutsche Forschungsgemeinschaft (RTG 1789, GRK-1789, FOR 2674, 450627322, CRC 1506, 1789 CEMMA, 336840530, SFB1506)
- Technische Universität Dresden
- Universität Ulm
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Advanced Fluorescence Microscopy Techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Keywords
- dipole moment, Cdc42, tubulin, hematopoietic stem cells, cellular aging, senescence, fibroblasts, Rho GTPases, intracellular protein distribution, open source software
- MeSH terms
- Algorithms, Animals, Fibroblasts, Hematopoietic Stem Cells, Humans, Tubulin, Cellular Senescence, cdc42 GTP-Binding Protein, Imaging, Three-Dimensional, Mice, Septins, Single-Cell Analysis
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