Release kinetics, static and dynamic water contact angles and FTIR data for tissue inhibitor of matrix metalloprotease-1 (TIMP-1) incorporated in electrospun random DegraPol® fibers and TIMP-1 impact on tenocytes and adipose-derived stem cells proliferation and gene expression data

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Julia Rieber, Roger Khalid Niederhauser, Pietro Giovanoli, Johanna Buschmann
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引用次数: 0

Abstract

A first data set refers to tissue inhibitor of matrix metalloprotease-1 (TIMP-1) protein inclusion into a DegraPol® fibres utilizing emulsion electrospinning and the characterization of the random fibre mesh. Specifically, the release kinetics of the protein from the mesh was studied over 7 days. Moreover, the static and the dynamic water contact angles were determined. Finally, we assessed Fourier-Transformed Infrared Spectra (FTIR spectra) for DegraPol® with and without TIMP-1.
A second data set represents proliferation data obtained with the Alamar Blue Assay, applied on rabbit Achilles tenocytes and rabbit adipose-derived stem cells, when stimulated in vitro with 1, 10, and 100 ng/mL TIMP-1 supplementation compared to the corresponding cell culture without TIMP-1 (control). Furthermore, qPCR was performed and collagen I, ki67, tenomodulin and alkaline phosphatase gene expression data are presented for both cell types in vitro stimulated with 1, 10, and 100 ng/mL TIMP-1 supplementation, respectively, and data are presented as manifold induction compared to a TIMP-1-free cell culture medium (control).
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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