Additional file 3 of Identification and characterization of a heme exporter from the MRP family in Drosophila melanogaster

Additional file 3. The individual raw data values of figures and Additional files for number of replicates ≤ 6. All the data are cited in the figure legend

Large scale image classification using GPU-based genetic programming

No description supplie

Additional file 2 of Identification and characterization of a heme exporter from the MRP family in Drosophila melanogaster

Additional file 2: Movie S1. ZnMP uptake by S2 cells at room temperature. Movie S2. ZnMP uptake by S2 cells at 4°C. Movie S3. ZnMP exported by CD8-GFP cell at room temperature. Movie S4. ZnMP exported by CG4562/dMRP5-GFP cell at room temperature

Additional file 1 of Identification and characterization of a heme exporter from the MRP family in Drosophila melanogaster

Additional file 1: Figure S1. The phylogenetic tree of MRP family members in D. melanogaster and the A. aegypti, related to Fig. 1. Figure S2. Localizations of Drosophila MRPs in S2 cell and their expressions under hemin supplementation in S2 or Aag2 cells. Figure S3. Phenotypic analysis of CG4562 and MRPs expression level in adults’ intestine, related to Fig. 5. Figure S4. Some residues of CG4562/dMRP5 could be mutated without influencing the transport activity, related to Fig. 6. Table S1. RNAi List of D. melanogaster. Table S2. qPCR Primers of D. melanogaster. Table S3. qPCR Primers of A. aegypti

Mutation features of <i>RRM2</i> in different tumors of TCGA.

(A, B) The alteration frequency of RRM2 with mutation type and mutation site. (C) The mutation site with the highest alteration frequency (R298Q/W) in the 3D structure of RRM2. (D) A radar map was used to reflect the correlation between RRM2 expression and TMB. (E) A radar map was used to reflect the correlation between RRM2 expression and MSI. TMB, Tumor mutational burden; MSI, Microsatellite instability.</p

The expression level of <i>RRM2</i> in pan-cancer.

(A) The expression level of RRM2 in different pan-cancers as indicated in the Oncomine database. Gene rank percentile (%). (B) RRM2 differential expression in pan-cancer in the TCGA database. *P < 0.05; **P < 0.01; ***P < 0.001.</p

<i>RRM2</i>-related gene enrichment analysis.

(A) Protein-protein interaction network of the available experimentally determined RRM2 binding proteins. The size and color of the node depends on the degree. The width of the edge is determined by the combined score of STRING. (B) The expression correlation between RRM2 and the top 5 RRM2-correlated genes in TCGA, including MKI67, ORC1, CCNA2, PLK1 and KIF11. (C) The corresponding heatmap data for the detailed cancer types. (D) An intersection analysis of the RRM2-binding and correlated genes. (E) KEGG pathway enrichment analyses of the genes that RRM2-binding and interacted.</p

Correlation analysis between <i>RRM2</i> expression and immune infiltration of cancer-associated cells.

(A) The correlation between RRM2 gene expression and the infiltration level of endothelial cells in all types of cancer in TCGA. (B-Q) The correlation between RRM2 gene expression and the infiltration level of diverse immune cells in ACC, BLCA, and BRCA, respectively.</p

<i>RRM2</i> expression level and immune checkpoint genes in pan-cancer.

(A) Heatmap of the correlation between RRM2 expression and immune checkpoint genes.</p

Prognostic value of <i>RRM2</i> in pan-cancer.

(A-E) Correlation between high expression level of RRM2 and poor OS in ACC, KICH, KIRC, KIRP, and LGG using the Kaplan–Meier method. (F-J) Correlation between high expression level of RRM2 and poor DSS in ACC, KICH, KIRC, KIRP, and LGG using the Kaplan–Meier method. (K-O) Correlation between high expression level of RRM2 and poor DFI in KIRP, LIHC, LUAD, PAAD, and SARC using the Kaplan–Meier method. (P-T) Correlation between high expression level of RRM2 and poor PFI in ACC, KICH, KIRC, KIRP, and LGG using the Kaplan–Meier method. (U-X) Correlation between RRM2 expression and OS, DSS, DFI, and PFI in pan-cancer using the Cox regression model. OS, Overall survival (years); DSS, Disease-specific survival (years); DFI, Disease-free interval (years); PFI, Progression-free interval (years).</p