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Super-resolution microscopy can identify specific protein distribution patterns in platelets incubated with cancer cells
KTH, School of Engineering Sciences (SCI), Applied Physics, Quantum and Biophotonics.
KTH, School of Engineering Sciences (SCI), Applied Physics, Quantum and Biophotonics.
KTH, School of Engineering Sciences (SCI), Applied Physics, Quantum and Biophotonics.
Karolinska Institutet, Department of Medicine, Karolinska University Hospital, L7:03, SE-171 76 Stockholm, Sweden.
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(English)Manuscript (preprint) (Other academic)
Abstract [en]

Protein contents in platelets are frequently changed upon tumor development and metastasis. However, how cancer cells can influence protein-selective redistribution and release within platelets, thereby promoting tumor development, remains largely elusive. With fluorescence-based super-resolution stimulated emission depletion (STED) imaging we reveal how specific proteins, implicated in tumor progression and metastasis, re-distribute within platelets, when subject to soluble activators (thrombin, adenosine-diphosphate and thromboxaneA2), and when incubated with cancer (MCF-7, MDA-MB-231, EFO21) or non-cancer cells (184A1, MCF10A). Upon cancer cell incubation, the cell-adhesion protein P-selectin was found to re-distribute into circular nano-structures, consistent with accumulation into the membrane of protein-storing alpha-granules within the platelets. These changes were to a significantly lesser extent, if at all, found in platelets incubated with normal cells, or in platelets subject to soluble platelet activators. From these patterns, we developed a classification procedure, whereby platelets exposed to cancer cells, to non-cancer cells, soluble activators as well as non-activated platelets all could be identified in an automatic, objective manner. We demonstrate that STED imaging, in contrast to electron and confocal microscopy, has the necessary spatial resolution and labelling efficiency to identify protein distribution patterns in platelets and can resolve how they specifically change upon different activations. Combined with image analyses of specific protein distribution patterns within the platelets, STED imaging can thus have a role in future platelet-based cancer diagnostics and therapeutic monitoring. The presented approach can also bring further clarity into fundamental mechanisms for cancer cell-platelet interactions, and into non-contact cell-to-cell interactions in general. 

Keywords [en]
STED, super-resolution microscopy, platelet, cancer, tumorigenesis, P-selectin, dictionary learning
National Category
Other Physics Topics
Research subject
Biological Physics
Identifiers
URN: urn:nbn:se:kth:diva-248296OAI: oai:DiVA.org:kth-248296DiVA, id: diva2:1302497
Note

QC 20190405

Available from: 2019-04-04 Created: 2019-04-04 Last updated: 2019-04-05Bibliographically approved
In thesis
1. Super resolution fluorescence imaging: analyses, simulations and applications
Open this publication in new window or tab >>Super resolution fluorescence imaging: analyses, simulations and applications
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Fluorescence methods offer extraordinary sensitivity and specificity, and are extensively used in the life sciences. In recent years, super resolution fluorescence imaging techniques have developed strongly, uniquely combining ~10 nm sub diffraction resolution and specific labeling with high efficiency. This thesis explores this potential, with a major focus on Stimulated Emission Depletion, STED, microscopy, applications thereof, image analyses and simulation studies. An additional theme in this thesis is development and use of single molecule fluorescence correlation spectroscopy, FCS, and related techniques, as tools to study dynamic processes at the molecular level. In paper I the proteins cytochrome-bo3 and ATP-synthase are studied with fluorescence cross-correlation spectroscopy, FCCS. These two proteins are a part of the energy conversion process in E. coli, converting ADP into ATP. We found that an increased interaction between these proteins, detected by FCCS, correlates with an increase in the ATP production. In paper II an FCS-based imaging method is developed, capable to determine absolute sizes of objects, smaller than the resolution limit of the microscope used. Combined with STED, this may open for studies of membrane nano-domains, such as those investigated by simulations in paper VII. In paper III and paper IV super resolution STED imaging was applied on Streptococcus Pneumoniae, revealing information about function and distribution of proteins involved in the defense mechanism of the bacteria, as well as their role in bacterial meningitis. In paper V, we used STED imaging to investigate protein distributions in platelets. We then found that the adhesion protein P-selectin changes its distribution pattern in platelets incubated with tumor cells, and with machine learning algorithms and classical image analysis of the STED images it is possible to automatically distinguish such platelets from platelets activated by other means. This could provide a strategy for minimally invasive diagnostics of early cancer development, and deeper understanding of the role of platelets in cancer development. Finally, this thesis presents Monte-Carlo simulations of biological processes and their monitoring by FCS. In paper VI, a combination of FCCS and simulations was applied to resolve the interactions between a transcription factor (p53) and an oncoprotein (MDM2) inside live cells. In paper VII, the feasibility of FCS techniques for studying nano-domains in membranes is investigated purely by simulations, identifying the conditions under which such nano-domains would be possible to detect by FCS. In paper VIII, proton exchange dynamics at biological membranes were simulated in a model, verifying experimental FCS data and identifying fundamental mechanisms by which membranes mediate proton exchange on a local (~10nm) scale.

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2019. p. 81
Series
TRITA-SCI-FOU ; 2019:20
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Other Physics Topics
Research subject
Physics
Identifiers
urn:nbn:se:kth:diva-248297 (URN)978-91-7873-171-8 (ISBN)
Public defence
2019-04-26, FA32, KTH, Roslagstullsbacken 21, Stockholm, 18:22 (English)
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Supervisors
Note

QC 20190405

Available from: 2019-04-05 Created: 2019-04-04 Last updated: 2019-04-05Bibliographically approved

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