Identification of autoantibody clusters that best predict lupus disease activity using glomerular proteome arrays
J. Clin. Invest. Quan Li Zhen, et al. 115:3428 doi:10.1172/JCI23587 [Go to this article.]

Figure 2
The use of glomerular proteome arrays to uncover autoantibodies in murine lupus sera. Dilutions (1:200) of various sera were applied to HydroGel slides coated with different glomerular/GBM and nuclear Ags as shown in Figure 1A. (A) Representative glomerular proteome arrays hybridized with B6 (bottom) or B6.Sle1.lpr sera (top) and developed with Cy5-coupled anti-mouse IgG. In these arrays, the intensity of the fluorescence signal ranged from none (black) to high (red), as scanned at 635 nM. (B) A total of 12 B6 sera and 15 B6.Sle1.lpr sera (10 females, 5 males) were studied similarly, and the data summarized in a heat map which shows the relative IgG seroreactivities of each of these 27 serum samples to the respective Ags on the arrays. For all Ags, the reactivity intensities are depicted on a relative scale, where reactivities above the array mean are colored red, reactivities below are colored green, and reactivities close to the mean are colored black. In addition, a clustering algorithm was used to group together sera that exhibited similar reactivity patterns (dendrogram at top) and to cluster together Ags that were similarly targeted by the different test sera (dendrogram at left). Data in B are representative of at least 3 independent experiments (using the same sera, but independent arrays).