Figure 1 miRNA expression in multiple sclerosis lesions

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Figure 1 miRNA expression in multiple sclerosis lesions Figure 1 miRNA expression in multiple sclerosis lesions. (A) Comparison of miRNAs up- or downregulated in active or inactive lesions. Each dot represents one miRNA. The qPCR values of each tissue sample were obtained by Low Density miRNA Array analysis. The median of the 43 most abundant microRNAs (CT < 30) is used as a surrogate housekeeping gene. (B) miR-155 is induced in active multiple sclerosis lesions. The expression level was determined by qPCR. The median of the 43 most abundant miRNAs (CT < 30) was used as a surrogate housekeeping gene. The CT-surrogate housekeeping gene minus CT-miR-155 is displayed for each analysed tissue specimen. This calculation using the raw CT-values gives a logarithmic y-axis with the base 2. Bars indicate the mean (active lesions versus control tissue: P < 0.0001; active versus inactive lesions: P < 0.01; U-test). From: MicroRNA profiling of multiple sclerosis lesions identifies modulators of the regulatory protein CD47 Brain. 2009;132(12):3342-3352. doi:10.1093/brain/awp300 Brain | © The Author (2009). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Figure 2 miRNA expression is regulated in astrocytes Figure 2 miRNA expression is regulated in astrocytes. Cultured human astrocytes were stimulated with interleukin (IL)-1, tumour necrosis factor (TNF)-α, gamma-interferon (IFN)-γ and transforming growth factor (TGF)-β for 24 h or left untreated. Subsequently the expression levels of the indicated microRNAs were determined by qPCR. The small nuclear RNA RNU6B was used as a housekeeping gene (Ng et al., 2009) and the cytokine-induced regulation was calculated as ΔΔCT-value [ΔΔCT = (CT RNU6B minus CT miRNA of the stimulated samples) minus (CT RNU6B minus CT miRNA of the unstimulated samples)]. This calculation using the raw CT-values gives a logarithmic y-axis with the base 2. The mean ± SEM of 2–6 experiments is shown. From: MicroRNA profiling of multiple sclerosis lesions identifies modulators of the regulatory protein CD47 Brain. 2009;132(12):3342-3352. doi:10.1093/brain/awp300 Brain | © The Author (2009). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Figure 3 Astrocytes express miR-155 Figure 3 Astrocytes express miR-155. (A) GFAP+ astrocytes from multiple sclerosis lesions were obtained by LCM, 100 dissected cells from one lesion were pooled and analysed for miR-155 expression by qPCR. Depicted are the amplification curves in duplicates of dissected astrocyte samples from eight different multiple sclerosis lesions. (B, C) Cultured astrocytes from mice expressing the reporter LacZ instead of miR-155 (Thai et al., 2007) were stimulated with tumour necrosis factor-α for 24 h. The LacZ expression (C) co-localized with GFAP (B). From: MicroRNA profiling of multiple sclerosis lesions identifies modulators of the regulatory protein CD47 Brain. 2009;132(12):3342-3352. doi:10.1093/brain/awp300 Brain | © The Author (2009). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Figure 4 miRNAs target the 3′UTR of CD47 Figure 4 miRNAs target the 3′UTR of CD47. (A) The luciferase activity in HeLa cells transfected with the indicated luciferase vectors and the corresponding premiR or control miR (premiR with a scrambled RNA sequence) is shown. Details of the applied luciferase reporter vectors are in Supplementary Table S3. A control vector with β-galactosidase was used for normalization. Luciferase activity was divided by β-galactosidase activity and then normalized on a mock-transfected control. Luciferase measurements were done in quadruplicates in each individual experiment. The SEM of three to four experiments is shown. Significant differences between the scrambled control premiR and the premiRs predicted to target CD47 are indicated (U-test, P < 0.05). (B) 3′UTR of CD47 with predicted and proven binding sites of microRNAs upregulated in active multiple sclerosis lesions. MicroRNA target sites of human CD47 3′UTR NM_001025079 (length 4189) were predicted with Targetscan human (release 5.0: December 2008). Interaction of miR-34a, miR-155, miR-326 with their predicted target sites u1-326, c1-155, u1-155, u3-34a could be confirmed by luciferase assays (A) and are indicated with their position in CD47 3′UTR in the figure (B). Of each predicted binding site the first line indicates the position in 3′UTR of CD47. Thereby ‘c’ indicates a highly conserved binding site and ‘u’ indicates a less conserved binding site. The second line names the miRNA predicted to bind, and the third line is the designation of the luciferase vector that includes the binding site. Binding sites functional in the luciferase assay (A) are boxed. From: MicroRNA profiling of multiple sclerosis lesions identifies modulators of the regulatory protein CD47 Brain. 2009;132(12):3342-3352. doi:10.1093/brain/awp300 Brain | © The Author (2009). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Figure 5 Hypothetical model of miRNA-regulated macrophage activity in multiple sclerosis lesions. In active multiple sclerosis (MS) lesions miRNA-155, miRNA-34a and miRNA-326 are upregulated in comparison with control white matter. These miRNAs target the 3′UTR of CD47 and might thereby reduce CD47 expression. These CD47-regulating miRNAs were found in astrocytes. Their expression in other brain resident cells needs to be explored. Reduced expression of CD47 might release macrophages/microglia from inhibitory control normally mediated by interaction of signal regulatory protein (SIRP)-α on macrophages/microglia with CD47 on potential targets. Reduced signalling via signal regulatory protein-α might then promote phagocytosis of CD47<sup>low</sup> target cells, and possibly also of susceptible bystander cells, e.g. oligodendrocytes. ‘Unleashed’ phagocytosis will be directed particularly against opsonized (e.g. antibody-coated) targets, because reduced CD47 is known to promote phagocytosis of antibody-coated cells. From: MicroRNA profiling of multiple sclerosis lesions identifies modulators of the regulatory protein CD47 Brain. 2009;132(12):3342-3352. doi:10.1093/brain/awp300 Brain | © The Author (2009). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org