Contributed equally to this work.
Gene Expression Profiling of Human Liver Transplants Identifies an Early Transcriptional Signature Associated with Initial Poor Graft Function
Article first published online: 30 MAY 2008
© 2008 The Authors Journal compilation © 2008 The American Society of Transplantation and the American Society of Transplant Surgeons
American Journal of Transplantation
Volume 8, Issue 6, pages 1221–1236, June 2008
How to Cite
Defamie, V., Cursio, R., Le Brigand, K., Moreilhon, C., Saint-Paul, M.-C., Laurens, M., Crenesse, D., Cardinaud, B., Auberger, P., Gugenheim, J., Barbry, P. and Mari, B. (2008), Gene Expression Profiling of Human Liver Transplants Identifies an Early Transcriptional Signature Associated with Initial Poor Graft Function. American Journal of Transplantation, 8: 1221–1236. doi: 10.1111/j.1600-6143.2008.02249.x
Present address: Princess Margaret Hospital, 610 University Avenue, Toronto, Ontario, Canada
- Issue published online: 30 MAY 2008
- Article first published online: 30 MAY 2008
- Received 13 September 2007, revised 5 March 2008 and accepted for publication 8 March 2008
Table S1: Full list of the differentially expressed genes between transplanted and control livers. The 371 genes are ranked according to the statistical p-values obtained using the limma package from Bioconductor. A corresponds to the logarithm (base 2) of the average fluorescence intensity for each probe. M corresponds to the logarithm (base 2) of the ratio of Transplanted/Control. All genes from the list displayed significant false discovery rate p-values using the Benjamini-Hochberg correction (p<0.001). RNG oligo IDs give access to transcripts and probes annotations through our system of information Mediante (http://www.microarray.fr).
Table S2: GO Database functional analysis of the 371 genes regulated in response to OLT. Full list of themes identified by EASE analysis. The number of genes modulated between transplanted and control samples and the total number of genes on chip are represented. The probability to obtain the number of genes in a certain pathway in the list of our differentially expressed genes was compared with the representation of the same pathway among all the genes on the microarray and was calculated as a Fisher's exact probability.
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