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Microscopy and supporting data for osteoblast integration within an electrospun fibrous network.

ABSTRACT: This data article contains data related to the research article entitled "3D imaging of cell interactions with electrospun PLGA nanofiber membranes for bone regeneration" by Stachewicz et al. [1]. In this paper we include additional data showing degradation analysis of poly(d,l-lactide-co-glycolide acid) (PLGA) electrospun fibers in medium and air using fiber diameter distribution histograms. We also describe the steps used in "slice and view" tomography techniques with focused ion beam (FIB) microscopy and scanning electron microscopy (SEM) and detail the image analysis to obtain 3D reconstruction of osteoblast cell integration with electrospun network of fibers. Further supporting data and detailed information on the quantification of cell growth within the electrospun nanofiber membranes is provided.

SUBMITTER: Stachewicz U

PROVIDER: S-EPMC4659782 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature

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Microscopy and supporting data for osteoblast integration within an electrospun fibrous network.

Stachewicz Urszula U Qiao Tuya T Rawlinson Simon C F SC Veiga Almeida Filipe F Li Wei-Qi WQ Cattell Michael M Barber Asa H AH

Data in brief 20151016

This data article contains data related to the research article entitled "3D imaging of cell interactions with electrospun PLGA nanofiber membranes for bone regeneration" by Stachewicz et al. [1]. In this paper we include additional data showing degradation analysis of poly(d,l-lactide-co-glycolide acid) (PLGA) electrospun fibers in medium and air using fiber diameter distribution histograms. We also describe the steps used in "slice and view" tomography techniques with focused ion beam (FIB) mi ...[more]

PMID: 26693511

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Project description:BackgroundSystems biology takes a holistic approach by handling biomolecules and their interactions as big systems. Network based approach has emerged as a natural way to model these systems with the idea of representing biomolecules as nodes and their interactions as edges. Very often the input data come from various sorts of omics analyses. Those resulting networks sometimes describe a wide range of aspects, for example different experiment conditions, species, tissue types, stimulating factors, mutants, or simply distinct interaction features of the same network produced by different algorithms. For these scenarios, synchronous visualization of more than one distinct network is an excellent mean to explore all the relevant networks efficiently. In addition, complementary analysis methods are needed and they should work in a workflow manner in order to gain maximal biological insights.ResultsIn order to address the aforementioned needs, we have developed a Synchronous Network Data Integration (SyNDI) framework. This framework contains SyncVis, a Cytoscape application for user-friendly synchronous and simultaneous visualization of multiple biological networks, and it is seamlessly integrated with other bioinformatics tools via the Galaxy platform. We demonstrated the functionality and usability of the framework with three biological examples - we analyzed the distinct connectivity of plasma metabolites in networks associated with high or low latent cardiovascular disease risk; deeper insights were obtained from a few similar inflammatory response pathways in Staphylococcus aureus infection common to human and mouse; and regulatory motifs which have not been reported associated with transcriptional adaptations of Mycobacterium tuberculosis were identified.ConclusionsOur SyNDI framework couples synchronous network visualization seamlessly with additional bioinformatics tools. The user can easily tailor the framework for his/her needs by adding new tools and datasets to the Galaxy platform.

Dataset Information

Microscopy and supporting data for osteoblast integration within an electrospun fibrous network.

Publications

Microscopy and supporting data for osteoblast integration within an electrospun fibrous network.

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