Additional data to the publication "Characterization of cell adhesion phenomena at the dental abutment/soft tissue interface by means of a dynamic cell culture model"

Angulo Salas, Laura Natalia; Kaiser, Friederike; Harrandt, Vaclav; Mehta, Kedar; Havlica, Jaromir; Wolf-Brandstetter, Cornelia

Additional data to the publication "Characterization of cell adhesion phenomena at the dental abutment/soft tissue interface by means of a dynamic cell culture model"

Contributing person datacite.contributor.DataCollector	Laura Natalia Angulo Salas
Contributing person datacite.contributor.DataCollector	Friederike Kaiser
Contributing person datacite.contributor.DataCollector	Kedar Mehta
Contributing person datacite.contributor.DataCollector	Vaclav Harrandt
Contributing person datacite.contributor.ProjectLeader	Cornelia Wolf-Brandstetter
Contributing person datacite.contributor.Researcher	Jaromir Havlica
Type of the data datacite.resourceTypeGeneral	Dataset
Total size of the dataset datacite.size	1869196488
Author dc.contributor.author	Angulo Salas, Laura Natalia
Author dc.contributor.author	Kaiser, Friederike
Author dc.contributor.author	Harrandt, Vaclav
Author dc.contributor.author	Mehta, Kedar
Author dc.contributor.author	Havlica, Jaromir
Author dc.contributor.author	Wolf-Brandstetter, Cornelia
Upload date dc.date.accessioned	2025-11-11T15:12:41Z
Publication date dc.date.available	2025-11-11T15:12:41Z
Data of data creation dc.date.created	2025
Publication date dc.date.issued	2025-11-11
Abstract of the dataset dc.description.abstract	The paper describes the development of a flow chamber model for the assessment of cell adhesion strength under variable shear stress, her shown for human gingival cells to test cell adhesion phenomena under mechanical stress. This model is then applied in proof of principle experiments to two surface modification types that have promising surface properties and are intended for the application in dental Two types of datasets are provided: (1) raw image sets comprising combinations of microscopy images, each accompanied by corresponding metadata, and (2) processed datasets derived from individual physico-chemical measurements or on raw images. The 2nd datatype includes either basic statistical analyses—such as the calculation of means, standard deviations, standard errors, and associated statistical tests—or more advanced analyses performed through automated image processing. For the latter, the figures presented in the publication represent the results of image analyses conducted using custom-optimized macros. Each archive for each individual figure also contains the raw images, a data analysis file that compiles the raw output data generated by ImageJ, output of statistical tests as well as the respective final graphical representation. A detailed description of the data structure and image analysis workflow is provided in the accompanying README file. The macros used for image processing are published in Supplement 2 of the original publication. However, for convenience, they are also included here as standalone text files alongside a detailed instruction how to use the macros, assembled in the respective archive folder.
Public reference to this page dc.identifier.uri	https://opara.zih.tu-dresden.de/handle/123456789/1739
Public reference to this page dc.identifier.uri	https://doi.org/10.25532/OPARA-966
Publisher dc.publisher	Technische Universität Dresden
Licence dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 International	en
URI of the licence text dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
Specification of the discipline(s) dc.subject.classification	4
Title of the dataset dc.title	Additional data to the publication "Characterization of cell adhesion phenomena at the dental abutment/soft tissue interface by means of a dynamic cell culture model"
Research instruments opara.descriptionInstrument	Scanning Electron Microscope (SEM), DSM 982 Gemini, Zeiss, Oberkochen
Research instruments opara.descriptionInstrument	Confocal Laser Scanning Microskope (cLSM), 510, equipped with CCD camera
Research instruments opara.descriptionInstrument	Atomic force microscope (AFM), NanoScope, Digital Instruments
Research instruments opara.descriptionInstrument	Contact angle measuremnt device OCA-20, dataphysics
Underlying research object opara.descriptionObject.PhysicalObject	titanium samples with different surface texture
Underlying research object opara.descriptionObject.PhysicalObject	flow chamber assembly
Software opara.descriptionSoftware.ResourceProcessing	ImageJ
Project abstract opara.project.description	Dental implants are a well established treatment option for the replacement of missing teeth. However, the soft tissue in the area of the abutment is susceptible to peri-implant mucositis caused by an adherent biofilm. As the inflammatory process progresses, peri-implantitis is associated with bone resorption and loss of osseointegration. In the transition area to the oral cavity, easy-to-clean surfaces should be sought to avoid matured biofilms. At the same time, a stable attachment of the soft tissue to the abutment prevents the penetration of pathogenic bacteria into the periodontium. The aim of the proposed project is to gain a comprehensive understanding of the mutual influences of texturing, surface energy and surface chemistry aiming for superior properties of titanium surfaces with respect to biofilm formation as well as soft tissue sealing. For this purpose, specifically functionalized nanodiamonds, which are modified both in terms of their size and their surface chemistry, are partially integrated into titanium surfaces by anodic thickening of the oxide layers. The microbial and cell biological characterization is carried out under static as well as dynamic conditions with appropriate conditioning of the surfaces in order to simulate the conditions in the oral cavity as well as preventive cleaning measures. Using statistical design of experiments, matrices with different combinations of surface energy, surface chemistry and topography are generated and analyzed by multiple regression with respect to the parameters i) number of focal complexes, ii) cell size and iii) fibrin reorganization for adhesion of gingival fibroblasts or iv) live bacteria counts and v) biofilm mass for primary adhesion of relevant oral bacteria in mono or di-species cultures. Promising surface conditions will then be characterized in complex multi-species biofilm models and with regard to the barrier function of adherent gingival cells and the functionality of selected aspects of the human immune defense. Based on these mutually complementary findings, the comprehensive assessment of the influence of nanostructure parameters is possible for surfaces with identical surface chemistry and largely constant surface energy. It is expected that synergistic effects of nanostructures and chemical functionalization can be identified by the analysis of a variety of possible combinations. The utilization of nanodiamonds in the modification of titanium surfaces provides the opportunity for future modular systems with arbitrarily combinable properties or additional specific functionalization.
Project title opara.project.title	NanoDIM