Fig. 4: Proteomics of OLFM2 gain and loss of function models.

Mass spectrometry-based quantitative proteomics were conducted in engineered 3T3-L1-derived MA and PA obtained as illustrated in Fig. 3e. a Multivariable analysis (PCA) shows the clustering of non-targeting controls (Ctrl) and models of gain (GoF) and loss of function (LoF) in MA and PA. Volcano plots of up (red) and down-regulated (blue) proteins in b MA and c PA with synthetically altered OLFM2 levels. Dots in gray show proteins meeting our exclusion criteria in a Bayesian moderated t-test (nominal p ≥ 0.05), when assuming equal variance in comparisons of n = 5 biological replicates/group. Horizontal p value thresholds show the number of DAPs (adjusted p < 0.05) after correcting for multiple comparisons with the false discovery rate (fdr) and Bonferroni (bon). Labels show some key gene symbols. Metabolic pathway analysis bubble plots created by applying MetaboAnalyst 5.0 to DAPs identified in d MA and e PA (additional details provided in Table S6). Statistical significance was acknowledged for Holm-Bonferroni adjusted p < 0.05 (dashed blue line). f The Heat map shows variations in 26 proteins (genes) significantly (Bayesian moderated t-test adj. FDR p < 0.05) modulated in both MA and PA, strikingly opposed to (4), or directly compelled by (22) OLFM2 levels (see also in Fig. S6c, d). Color represents row z-scores calculated for each cell type and replicate by subtracting the mean and then divide by the standard deviation of each column. g Gene Ontology (GO) enrichment analysis applied to this subset of 26 DAPs.