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Full-Text Articles in Life Sciences
Whole Genome Expression Profiling Reveals A Significant Role For Immune Function In Human Abdominal Aortic Aneurysms, Guy M. Lenk, Gerard Tromp, Shantel Weinsheimer, Zoran Gatalica, Ramon Berguer, Helena Kuivaniemi
Whole Genome Expression Profiling Reveals A Significant Role For Immune Function In Human Abdominal Aortic Aneurysms, Guy M. Lenk, Gerard Tromp, Shantel Weinsheimer, Zoran Gatalica, Ramon Berguer, Helena Kuivaniemi
Wayne State University Associated BioMed Central Scholarship
Abstract
Background
Abdominal aortic aneurysms are a common disorder with an incompletely understood etiology. We used Illumina and Affymetrix microarray platforms to generate global gene expression profiles for both aneurysmal (AAA) and non-aneurysmal abdominal aorta, and identified genes that were significantly differentially expressed between cases and controls.
Results
Affymetrix and Illumina arrays included 18,057 genes in common; 11,542 (64%) of these genes were considered to be expressed in either aneurysmal or normal abdominal aorta. There were 3,274 differentially expressed genes with a false discovery rate (FDR) ≤ 0.05. Many of these genes were not previously known to be involved in …
A Proteome-Wide Protein Interaction Map For Campylobacter Jejuni, Jodi R. Parrish, Jingkai Yu, Guozhen Liu, Julie A. Hines, Jason E. Chan, Bernie A. Mangiola, Huamei Zhang, Svetlana Pacifico, Farshad Fotouhi, Victor J. Dirita, Trey Ideker, Phillip Andrews, Russell L. Finley Jr
A Proteome-Wide Protein Interaction Map For Campylobacter Jejuni, Jodi R. Parrish, Jingkai Yu, Guozhen Liu, Julie A. Hines, Jason E. Chan, Bernie A. Mangiola, Huamei Zhang, Svetlana Pacifico, Farshad Fotouhi, Victor J. Dirita, Trey Ideker, Phillip Andrews, Russell L. Finley Jr
Wayne State University Associated BioMed Central Scholarship
Abstract
Background
Data from large-scale protein interaction screens for humans and model eukaryotes have been invaluable for developing systems-level models of biological processes. Despite this value, only a limited amount of interaction data is available for prokaryotes. Here we report the systematic identification of protein interactions for the bacterium Campylobacter jejuni, a food-borne pathogen and a major cause of gastroenteritis worldwide.
Results
Using high-throughput yeast two-hybrid screens we detected and reproduced 11,687 interactions. The resulting interaction map includes 80% of the predicted C. jejuni NCTC11168 proteins and places a large number of poorly characterized proteins into networks that provide initial …