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In mammals, anucleate platelets circulate in the blood flow and are primarily responsible for maintaining functional hemostasis. Platelets are generated in the bone marrow (BM) by megakaryocytes (MKs), which mainly reside directly next to the BM sinusoids to release proplatelets into the blood. MKs originate from hematopoietic stem cells and are thought to migrate from the endosteal to the vascular niche during their maturation, a process, which is, despite being intensively investigated, still not fully understood.
Long-term intravital two photon microscopy (2PM) of MKs and vasculature in murine bone marrow was performed and mean squared displacement analysis of cell migration was performed. The MKs exhibited no migration, but wobbling-like movement on time scales of 3 h. Directed cell migration always results in non-random spatial distribution. Thus, a computational modelling algorithm simulating random MK distribution using real 3D light-sheet fluorescence microscopy data sets was developed. Direct comparison of real and simulated random MK distributions showed, that MKs exhibit a strong bias to vessel-contact. However, this bias is not caused by cell migration, as non-vessel-associated MKs were randomly distributed in the intervascular space. Furthermore, simulation studies revealed that MKs strongly impair migration of other cells in the bone marrow by acting as large-sized obstacles. MKs are thought to migrate from the regions close to the endosteum towards the vasculature during their maturation process. MK distribution as a function of their localization relative to the endosteal regions of the bones was investigated by light sheet fluorescence microscopy (LSFM). The results show no bone-region dependent distribution of MKs. Taken together, the newly established methods and obtained results refute the model of MK migration during their maturation.
Ischemia reperfusion (I/R) injury is a frequent complication of cerebral ischemic stroke, where brain tissue damage occurs despite successful recanalization. Platelets, endothelial cells and immune cells have been demonstrated to affect the progression of I/R injury in experimental mouse models 24 h after recanalization. However, the underlying Pathomechanisms, especially in the first hours after recanalization, are poorly understood.
Here, LSFM, 2PM and complemental advanced image analysis workflows were established for investigation of platelets, the vasculature and neutrophils in ischemic brains. Quantitative analysis of thrombus formation in the ipsilateral and contralateral hemispheres at different time points revealed that platelet aggregate formation is minimal during the first 8 h after recanalization and occurs in both hemispheres. Considering that maximal tissue damage already is present at this time point, it can be concluded that infarct progression and neurological damage do not result from platelet aggregated formation. Furthermore, LSFM allowed to confirm neutrophil infiltration into the infarcted hemisphere and, here, the levels of endothelial cell marker PECAM1 were strongly reduced. However, further investigations must be carried out to clearly identify the role of neutrophils and the endothelial cells in I/R injury.
The plasma membrane is one of the most thoroughly studied and at the same time most complex, diverse, and least understood cellular structures. Its function is determined by the molecular composition as well as the spatial arrangement of its components. Even after decades of extensive membrane research and the proposal of dozens of models and theories, the structural organization of plasma membranes remains largely unknown. Modern imaging tools such as super-resolution fluorescence microscopy are one of the most efficient techniques in life sciences and are widely used to study the spatial arrangement and quantitative behavior of biomolecules in fixed and living cells. In this work, direct stochastic optical reconstruction microscopy (dSTORM) was used to investigate the structural distribution of mem-brane components with virtually molecular resolution. Key issues are different preparation and staining strategies for membrane imaging as well as localization-based quantitative analyses of membrane molecules.
An essential precondition for the spatial and quantitative analysis of membrane components is the prevention of photoswitching artifacts in reconstructed localization microscopy images. Therefore, the impact of irradiation intensity, label density and photoswitching behavior on the distribution of plasma membrane and mitochondrial membrane proteins in dSTORM images was investigated. It is demonstrated that the combination of densely labeled plasma membranes and inappropriate photoswitching rates induces artificial membrane clusters. Moreover, inhomogeneous localization distributions induced by projections of three-dimensional membrane structures such as microvilli and vesicles are prone to generate artifacts in images of biological membranes. Alternative imaging techniques and ways to prevent artifacts in single-molecule localization microscopy are presented and extensively discussed.
Another central topic addresses the spatial organization of glycosylated components covering the cell membrane. It is shown that a bioorthogonal chemical reporter system consisting of modified monosaccharide precursors and organic fluorophores can be used for specific labeling of membrane-associated glycoproteins and –lipids. The distribution of glycans was visualized by dSTORM showing a homogeneous molecule distribution on different mammalian cell lines without the presence of clusters. An absolute number of around five million glycans per cell was estimated and the results show that the combination of metabolic labeling, click chemistry, and single-molecule localization microscopy can be efficiently used to study cell surface glycoconjugates.
In a third project, dSTORM was performed to investigate low-expressing receptors on cancer cells which can act as targets in personalized immunotherapy. Primary multiple myeloma cells derived from the bone marrow of several patients were analyzed for CD19 expression as potential target for chimeric antigen receptor (CAR)-modified T cells. Depending on the patient, 60–1,600 CD19 molecules per cell were quantified and functional in vitro tests demonstrate that the threshold for CD19 CAR T recognition is below 100 CD19 molecules per target cell. Results are compared with flow cytometry data, and the important roles of efficient labeling and appropriate control experiments are discussed.
The thesis provides insights in reconstruction and analysis pipelines for processing of
three-dimensional cell and vessel images of megakaryopoiesis in intact murine bone.
The images were captured in a Light Sheet Fluorescence Microscope. The work
presented here is part of Collaborative Research Centre (CRC) 688 (project B07) of
the University of Würzburg, performed at the Rudolf-Virchow Center. Despite ongoing
research within the field of megakaryopoiesis, its spatio-temporal pattern of
megakaryopoiesis is largely unknown. Deeper insight to this field is highly desirable to
promote development of new therapeutic strategies for conditions related to
thrombocytopathy as well as thrombocytopenia. The current concept of
megakaryopoiesis is largely based on data from cryosectioning or in vitro studies
indicating the existence of spatial niches within the bone marrow where specific stages
of megakaryopoiesis take place. Since classic imaging of bone sections is typically
limited to selective two-dimensional views and prone to cutting artefacts, imaging of
intact murine bone is highly desired. However, this has its own challenges to meet,
particularly in image reconstruction. Here, I worked on processing pipelines to account
for irregular specimen staining or attenuation as well as the extreme heterogeneity of
megakaryocyte morphology. Specific challenges for imaging and image reconstruction
are tackled and solution strategies as well as remaining limitations are presented and
discussed. Fortunately, modern image processing and segmentation strongly benefits
from continuous advances in hardware as well as software-development. This thesis
exemplifies how a combined effort in biomedicine, computer vision, data processing
and image technology leads to deeper understanding of megakaryopoiesis. Tailored
imaging pipelines significantly helped elucidating that the large megakaryocytes are
broadly distributed throughout the bone marrow facing a surprisingly dense vessel
network. No evidence was found for spatial niches in the bone marrow, eventually
resulting in a revised model of megakaryopoiesis.