Dengue Virus Induces Novel Changes in Gene Expression of Human Umbilical Vein
Rajas V. Warke, Kris Xhaja, Katherine J. Martin, Marcia F. Fournier, Sunil Shaw£, Nathaly Brizuela, Norma de Bosch, David Lapointe¶, Francis A. Ennis, Alan L. Rothman and Irene Bosch*
Center for Infectious Disease and Vaccine Research and Department of Medicine,
Department of Cell Biology¶, University of Massachusetts Medical School. Worcester, MA 01655.
Dengue Research Program, Banco Municipal de Sangre, Caracas, Venezuela.
Brigham and Women's Hospital, Vascular Research Division, Department of Pathology, Harvard Medical School, Boston, MA 02115£
Supplementary Material for Human Umbilical Vein Endothelial Cells ...
For full viewing of the 395 differentially
expressed genes, their expression profiles, and all significant clusters, this
data file can be imported to dChip gene expression software [Cheng Li and Wing
Hung Wong Model-based
analysis of oligonucleotide arrays: Expression index computation and outlier
detection, 2001 Vol. 98, 31-36.].
- Figures and Tables
- Figure 3 (expanded). Cluster diagram of Dengue-infected HUVEC cell gene expression patterns
- Enhanced version of Figure 3 includes identities of all 395 differentially genes.
- Figure 5. Expression levels of Differential Display genes during DV infection timecourse determined by microarray analysis.
- Graphical representation of the expression levels of the DD-identified genes during a D2V infection timecourse in HUVECs. Gene expression levels are organized by hierarchical cluster analysis (dChip) and are normalized to the geometric mean of the four control (media alone) samples. Color key shows fold differential expression.
- Table 6. Functional classification of Cluster I and II in HUVECs
infected with D2VNGC
- Individual gene identities of Table 6.[View table]
The dChip software is publicly available
Questions or comments, please email Irene Bosch, at: Irene.Bosch@UMassMed.edu