2019
DOI: 10.1089/ten.tea.2018.0274
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Quantifying the Vasculogenic Potential of Induced Pluripotent Stem Cell-Derived Endothelial Progenitors in Collagen Hydrogels

Abstract: Induced pluripotent stem cell-derived endothelial progenitors (iPSC-EPs) have emerged as a promising candidate cell source for patient-specific ischemic therapies. Before these cells can be appropriately deployed in a clinical setting, it is imperative to study their assembly into functional vascular networks in extracellular matrix (ECM)-mimicking, three-dimensional (3D) microenvironments. To elucidate the interactions of iPSC-EPs with the ECM, we examined how in vitro modulation of structural protein density… Show more

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Cited by 30 publications
(55 citation statements)
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References 56 publications
(61 reference statements)
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“…Previously, we had quantified iPSC-EP vasculogenesis in type I collagen hydrogels and confirmed that the network topology was dependent on the density of the surrounding matrix, which may have influenced the mean diffusion distance and degradability [18,34]. However, our experiments were limited to a single week due to severe collagen compaction.…”
Section: Discussionsupporting
confidence: 54%
See 1 more Smart Citation
“…Previously, we had quantified iPSC-EP vasculogenesis in type I collagen hydrogels and confirmed that the network topology was dependent on the density of the surrounding matrix, which may have influenced the mean diffusion distance and degradability [18,34]. However, our experiments were limited to a single week due to severe collagen compaction.…”
Section: Discussionsupporting
confidence: 54%
“…To this end, biomaterials provide an excellent means to study this process in vitro, due to their high tunability and ability to mimic native tissue [17]. We have previously utilized rat tail collagen to demonstrate the high vasculogenic potential of iPSC-EPs [18].…”
Section: Introductionmentioning
confidence: 99%
“…The networks were quantified for metrics of total network length, and number of branches and junctions, using a previously established computational pipeline implemented in ImageJ and MATLAB. 16 Briefly, a custom plugin in ImageJ filters and binarizes the z-stacks so that the vessels are extracted from the image. In MATLAB, the vessels are skeletonized and then converted into a quantifiable nodal network.…”
Section: Image Acquisition and Analysismentioning
confidence: 99%
“…This could indicate possible indirect effects on cell types in the niche, not necessarily the HSCs themselves. 16…”
Section: Secretome Of the Perivascular Modelmentioning
confidence: 99%
“…Fibrin morphology was imaged using an upright laser scanning confocal microscope (LSM-510, Zeiss) under reflectance using a 40X, 1.0 NA water-dipping objective (Zeiss). Fibrin network samples were illuminated with a 488 nm laser and reflected light was collected by setting the Meta detector channel between 475-500 nm wavelength in accordance to previous literature [22]. The diameter of fibrin fibers was measured on raw images using ImageJ.…”
Section: Characterization Of Fibrin Morphologymentioning
confidence: 99%