Jci_page_head_homepage_01 Jci_page_head_homepage_02
Steven E. Bosinger, Qingsheng Li, Shari N. Gordon, Nichole R. Klatt, Lijie Duan, Luoling Xu, Nicholas Francella, Abubaker Sidahmed, Anthony J. Smith, Elizabeth M. Cramer, Ming Zeng, David Masopust, John V. Carlis, Longsi Ran, Thomas H. Vanderford, Mirko Paiardini, R. Benjamin Isett, Don A. Baldwin, James G. Else, Silvija I. Staprans, Guido Silvestri, Ashley T. Haase, David J. Kelvin
Published in Volume 119, Issue 12
J Clin Invest. 2009; 119(12):3556–3572 doi:10.1172/JCI40115
Abstract | Full text | PDF | Supplemental material
Options: View larger image (or click on image)
Medium
Figure 2
Divergence in the transcriptome of SMs and RMs.

(A) PCA of complete gene-expression profiles measured on each individual array. PCA was performed on the log10-transformed, RMA-normalized intensities on individual arrays (52,024 probe sets per array) using a covariance dispersion matrix and normalized eigenvector scaling. Principal component (PC) no. 1 (37.4%), PC no. 2 (11.7%), and PC no. 3 (7.8%) accounted for 56.9% of the variance in the data. Each colored circle indicates complete expression profiles of individual samples, with similarity between data sets displayed as proximity in 3D space (SIVsmm-infected SMs, blue circles; SIVsmm-infected-RMs, black circles; SIVmac239-infected RMs, red circles). (B) Hierarchical clustering of individual array data sets was performed using a Euclidean metric and average linkage to determine distance between data sets and clusters, respectively. In A and B, data sets from the 3 infection groups are indicated by color: SIVsmm-infected SMs (blue), SIVsmm-infected RMs (black), and SIVmac239-infected RMs (red).