Journal of Thrombosis and HaemostasisCell BiologyPeer-reviewed journal article
Expansion microscopy allows quantitative characterisation of structural organisation of platelet aggregates
Emma L. FaulkneriD, Jeremy Andrew PikeiD, Evelyn GarlickiD, Robert K. NeelyiD, Iain B. StylesiD, Steve P. WatsoniD, Natalie S. PoulteriD, Steven G. ThomasiD
Abstract
1Current microscopy approaches applied to platelet aggregates in both haemostatic and thrombotic settings indicate their structure has important implications in efficient haemostasis and in clinical treatment of thrombosis. However, current fluorescence microscopy approaches are not amenable to volumetric imaging of platelet aggregate structures. This is largely due to the small size of individual platelets and the tight packing of platelets within aggregates, resulting in optical opacity. Here we demonstrate that expansion microscopy, applied to platelet aggregates, can reveal multi-scale information about the structure of platelet aggregates. We produced volumetric images at nanoscale resolution of >700 platelet aggregates under normal and perturbed conditions, stained for cytoskeletal and membrane components. We demonstrate our custom analysis workflow provides quantitative description of platelet numbers, volumes and morphology within entire platelet aggregates. Additionally, we quantitatively describe subcellular organisation of F-actin. By comparing these measurements following treatment with the actin inhibitors, cytochalasin D and latrunculin A, we can robustly detect structural disruptions in platelet aggregates. Together these data provide a workflow to qualitatively and quantitatively describe the architecture of platelet aggregates at a range of scales (whole aggregates down to sub-cellular features within individual platelets).
- organism: human
- assay: imaging
- research focus: cell type annotation
- research focus: clustering
- research focus: differential expression
- research focus: spatial domain detection
- approach: experimental assay
- Citations
- 4
- FWCI
- 2.86
- Field percentile
- top 10%
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