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Fig. 3 | Cancer Cell International

Fig. 3

From: Multiomics surface receptor profiling of the NCI-60 tumor cell panel uncovers novel theranostics for cancer immunotherapy

Fig. 3

Multiple co-inertia analysis (MCIA) of the NCI-60 panel data. a (top left) The first two principal components of the MCIA plot show similar trends in microarray (Tx, circle), proteomics (Px, triangle), and flow cytometry (FACS, square) profiles, suggesting that the most variant sources of biological information are similar. The type of shape indicates the respective omics platform. Shapes are connected by lines joining a common point representing the maximized covariance reference structure derived from the MCIA analysis. The length of a line models the divergence between the data from the same tumor cell line. Colors represent the nine NCI-60 different tissues covered by the tumor cell lines. Central nervous system (CNS) and leukemia (LE) cell lines are separated along the first axis (PC1, horizontal). Melanoma (ME) was projected on the positive side of the second axis (PC2, vertical). b (top right) The variable space with data from the different omics techniques is colored coded (Tx, black; Px, red; FACS, green). A tissue specific feature will be projected in the direction of this tissue. The larger the distance from the origin, the more potentially significant a feature is. c (bottom left) A scree plot showing the eigenvalues on the y-axis and the number of PCs on the x-axis. Used to rationalize the number of PCs included in the analysis. d (bottom right) The pseudo-eigenvalue space of the NCI-60 data sets summarizes the consensus between the platforms, highlighting which omics technique contributes more to the total variance (Tx, black; Px, red; flow cytometry, green)

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