2011 - Transplantomics and Biomarkers in Transplantation


Bioinformatics and Biostatistics

10.1 - Prediction of Transplant Outcomes Using Microarray Data

Presenter: Irene, Rebollo-Mesa, London, UK
Authors: Irene Rebollo-Mesa


Prediction of Transplant Outcomes Using Microarray Data

Irene Rebollo-Mesa, MRC Centre for Transplantation, King's College London, London, UK

In transplantation, there is an unmet clinical need to predict transplant outcome. Thus, developing prognostic tests of tolerance and rejection, a well as tests to predict the patients response to immunosuppression are essential to move towards personalised medicine. Microarray assays of gene expression have become a popular route of discovery of novel biomarkers. The usual challenges of the analysis of microarray data are further increased by the complexities of the transplantation setting, i.e. donor-recipient interactions, different types of donors, intense -unavoidable- immunosuppression, infections, etc. In this context a careful research design and a detailed methodological planning can determine a successful outcome of research projects that are often long-term and highly intense in management needs. Additionally, the use of appropriate validation methods, internal and external are essential to ensure a seamless translation from basic discovery research to clinical trials and application into the clinic.


You must be logged in to view recordings

Important Disclaimer

By viewing the material on this site you understand and accept that:

  1. The opinions and statements expressed on this site reflect the views of the author or authors and do not necessarily reflect those of The Transplantation Society and/or its Sections.
  2. The hosting of material on The Transplantation Society site does not signify endorsement of this material by The Transplantation Society and/or its Sections.
  3. The material is solely for educational purposes for qualified health care professionals.
  4. The Transplantation Society and/or its Sections are not liable for any decision made or action taken based on the information contained in the material on this site.
  5. The information cannot be used as a substitute for professional care.
  6. The information does not represent a standard of care.
  7. No physician-patient relationship is being established.

Our Corporate Sponsors

TTS gratefully acknowledges the Corporate Partners whose generous support makes the work of the Society possible:

  • astellas
  • roche
  • sanofi