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Updated: Feb 21, 2026

Accessing the Cytotoxicity and Cell Response to Biomaterials

Accessing the Cytotoxicity and Cell Response to Biomaterials

Published on: July 8, 2021

cBiT: A transcriptomics database for innovative biomaterial engineering.

Dennie G A J Hebels¹, Aurélie Carlier¹, Maarten L J Coonen²

¹MERLN Institute for Technology-inspired Regenerative Medicine, Maastricht University, Universiteitssingel 40, 6229 ER, Maastricht, The Netherlands.

|October 12, 2017

Summary

This summary is machine-generated.

A new public database, The Compendium for Biomaterial Transcriptomics (cBiT), was created to address challenges in analyzing cell-biomaterial interactions. It integrates transcriptomics data with material properties to advance biomaterial development and improve clinical applications.

Keywords:

Biomaterials Compendium Data analysis Database Repository Reverse engineering Transcriptomics

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Last Updated: Feb 21, 2026

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Area of Science:

Biomaterials Science
Cell Biology
Bioinformatics

Background:

Understanding cell-biomaterial interactions is crucial for successful clinical applications.
Surface communication profoundly influences cellular behavior and host tissue integration.
Existing multi-assay data on these interactions are complex and difficult to manage.

Purpose of the Study:

To establish a centralized, accessible repository for biomaterial transcriptomics data.
To facilitate the analysis and correlation of transcriptomics data with material properties.
To accelerate innovative biomaterial development through enhanced data accessibility.

Main Methods:

Development of The Compendium for Biomaterial Transcriptomics (cBiT) data warehouse.
Implementation of a web interface for searching, selecting, and downloading data.
Integration of transcriptomics datasets with associated biomaterial property measurements.

Main Results:

cBiT provides a public platform for accessing and analyzing complex cell-biomaterial interaction data.
The repository allows users to correlate transcriptomics data with material properties.
A use case demonstrated cBiT's utility with clinically relevant materials.

Conclusions:

cBiT serves as a valuable resource for researchers in biomaterials and regenerative medicine.
The platform aims to become a central hub for biomaterial-associated data.
Facilitating data sharing and analysis will drive the development of improved biomaterials for better body integration.