G
Gunilla Einecke
Researcher at University of Alberta
Publications - 22
Citations - 4286
Gunilla Einecke is an academic researcher from University of Alberta. The author has contributed to research in topics: Transplantation & Kidney transplantation. The author has an hindex of 19, co-authored 22 publications receiving 3916 citations.
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Journal ArticleDOI
Banff 07 Classification of Renal Allograft Pathology: Updates and Future Directions
Kim Solez,Robert B. Colvin,Lorraine C. Racusen,Mark Haas,Banu Sis,Michael Mengel,Philip F. Halloran,William M. Baldwin,G. Banfi,A. B. Collins,Fernando G. Cosio,D. S. R. David,Cinthia B. Drachenberg,Gunilla Einecke,Agnes B. Fogo,Ian W. Gibson,Denis Glotz,Samy S. Iskandar,Edward S. Kraus,Evelyne Lerut,Roslyn B. Mannon,Michael J. Mihatsch,Brian J. Nankivell,Volker Nickeleit,John C. Papadimitriou,Parmjeet Randhawa,Heinz Regele,Karine Renaudin,Ian S.D. Roberts,Daniel Serón,Rex Neal Smith,Marialuisa Valente +31 more
TL;DR: Emerging research data led to the establishment of collaborative working groups addressing issues like isolated ‘v’ lesion and incorporation of omics‐technologies, paving the way for future combination of graft biopsy and molecular parameters within the Banff process.
Journal ArticleDOI
Antibody-mediated microcirculation injury is the major cause of late kidney transplant failure.
Gunilla Einecke,Banu Sis,Jeff Reeve,Michael Mengel,Patricia Campbell,Luis G. Hidalgo,Bruce Kaplan,Philip F. Halloran +7 more
TL;DR: The major cause of late kidney transplant failure is antibody‐mediated microcirculation injury, but detection of this phenotype requires new diagnostic criteria.
Journal ArticleDOI
Improving gene set analysis of microarray data by SAM-GS
Irina Dinu,John D. Potter,Thomas F. Mueller,Qi Liu,Adeniyi J. Adewale,Gian S. Jhangri,Gunilla Einecke,Konrad S. Famulski,Philip F. Halloran,Yutaka Yasui +9 more
TL;DR: It is concluded that GSEA has important limitations as a gene-set analysis approach for microarray experiments for identifying biological pathways associated with a binary phenotype and an alternative statistically-sound method is proposed, SAM-GS.
Journal ArticleDOI
Microarray analysis of rejection in human kidney transplants using pathogenesis-based transcript sets.
Thomas F. Mueller,Gunilla Einecke,Jeff Reeve,Banu Sis,Michael Mengel,Gian S. Jhangri,S. Bunnag,Joseph A. Cruz,David S. Wishart,C. Meng,Gordon Broderick,Bruce Kaplan,Philip F. Halloran +12 more
TL;DR: Many transcriptome changes previously described in rejection are features of a large‐scale disturbance characteristic of rejection but occurring at lower levels in many forms of injury, indicating that transcriptome disturbances in renal transplants have a stereotyped internal structure.
Journal ArticleDOI
A molecular classifier for predicting future graft loss in late kidney transplant biopsies.
Gunilla Einecke,Jeff Reeve,Banu Sis,Michael Mengel,Luis G. Hidalgo,Konrad S. Famulski,Arthur J. Matas,Bert L Kasiske,Bruce Kaplan,Philip F. Halloran +9 more
TL;DR: The molecular risk score reflects active injury and is superior to either scarring or function in predicting graft failure and was the only predictor of graft loss in an independent validation set.