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    BiS, Biointerface Science in Regenerative Medicine at the Department of Biomedical Engineering, Eindhoven University of Technology

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BiS is part of the Biomedical Engineering Department at TU/e. Research at BiS is dedicated to understanding and applying basic cell biological principles at the biointerfaces especially for regenerative medicine. The research program is characterized by a holistic approach to both discovery and application, aiming at combining high throughput technologies, computational modeling and experimental cell biology to streamline the wealth of biological knowledge to real clinical applications.



Research at BiS

Cell biology, computational approaches, and material development are the three key fields of science that we focus our research on at BiS. To find out more, have a look here:



Ayşegül Dede
Burcu Gumuscu Sefunc
Els Alsema
I Fon Bambang
Jan de Boer
Jorge Alfredo Uquillas
Katinka Klap
Kerbaï Saïd Eroumé
Mehmet Tas
Miguel Faase
Nusrat Malik 2
Phani Sudarsanam
Sultan Gülçe Iz
Tim Kuijpers
Urandelger (Urnaa) Tuvshindorj

Suggested reading

Interested in the history of the TopoChip technology?

Read this short assay by Jan de Boer entitled: ”  On mixing people and ideas - a brief history of the TopoChip”



Introduction to Transcriptomics Analysis by Tim Kuijpers

On Thursday 22 April 2021 at 12.00-13.00, Tim will be giving a presentation on Introduction to Transcriptomics Analysis. Below is a short description on what will be discussed:

Transcriptomics technologies provide us with powerful information to explore a cellular response to the environment. Microarray technologies and high-throughput RNA sequencing technologies made it possible to measure the expression levels of thousands of genes in a single experiment. To gain novel information from these experiments, bioinformatics tools are used to identify key genes involved in biological processes underlying a phenotype. For example, researchers studied gene expression responses to discover a suitable cell model for in vitro biomaterial testing.

In this introduction to transcriptomics analysis, we will briefly discuss the common techniques to measure gene expression (Microarray / RNA sequencing) and the various bioinformatic tools used, such as GO term analysis, pathway analysis, and network analysis. At the end of this presentation, you will have a basic understanding of transcriptomics analysis and should be able to apply the discussed bioinformatics tools.

If you are interested to join, please contact This email address is being protected from spambots. You need JavaScript enabled to view it..



  • BiS-Biointerface Science in Regenerative Medicine
  • TU/e Department of Biomedical Engineering
Eindhoven University of Technology
PO Box 513
5600 MB, Eindhoven
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