Additional file 5: Fig. S5. Effect of cilostazol treatment on cardiac function after CLP. a Representative M-mode images of the four different groups. b-e Quantitative analysis of LVEF (b), LVFS (c), LVEDD (d), and LVESD (e) in each group (n = 6). These data indicate no significant difference.

Additional file 6: Fig. S6. Single-cell sequencing analysis of adult mice intestine. a Dotplot for highest specificity gene markers of cell clusters. Dot size represents the percentage of cells expressing the denoted gene, and the color represents average normalized expression level within the denoted cluster. b The expression of GFAP in different cell clusters by analysis of the Uniform Manifold Approximation and Projection (UMAP). c Different cell subpopulation of the GSE156905 dataset derived from the...

Additional file12: Supplementary Figure S12. Spearman correlation between NRGs expression level and IC50 level of drugs. A Bubble chart for CESC. B Bubble chart for OV. C Bubble chart for UCEC. D Bubble chart for UCS. The bubble color indicates the degree of correlation index. The bubble size indicates the P-value. The correlation with P<0.05 & |Cor|>0.3 were retained to produce the figure.

Additional file 2: Supplementary Figure S2. Correlation analysis of the 76 NRGs for CESC (A), OV (B), UCEC (C), and UCS D. Red indicates a positive correlation; blue indicates a negative correlation.

Additional file 2: Supplementary Figure S2. Correlation analysis of the 76 NRGs for CESC (A), OV (B), UCEC (C), and UCS D. Red indicates a positive correlation; blue indicates a negative correlation.

Additional file 6: Supplementary Figure S6. Expression values of NRGs in prognostic signature of OV. A-D Expression values of NRGs in TCGA for BACH2 (A), MLKL (B), MYC (C), MYCN (D), and SIRT2 (E). F-J Expression values of NRGs in our cohort for BACH2 (F), MLKL (I), MYC (G), MYCN (H), and SIRT2 (J).

Additional file 7: Supplementary Figure S7. Clinical value of risk score by independent prognostic analysis. A-H The Univariate Cox regression analysis and Multivariate Cox regression analysis for CESC (A-B), OV (C-D), UCEC (E-F), and UCS G-H.

Additional file 2: Fig. S2. Validation of the expression of miRNA targets between NSCLC cells and HBE cells. (A) CircInteractome database ( https://circinteractome.nia.nih.gov/ ) revealed multiple potential miRNA targets of circ_0017109. (B) qRT-PCR analysis of miRNA expression between NSCLC cells and HBE cells. All data were normalized to the expression level in HBE cells. ***, P < 0.001.

Additional file 1: Figure S1.Expression, purification and immunoblot analysis of recombinant PvRAMA protein. A Expression and purification of recombinant PvRAMA (appox. 43 kDa). M, Marker; T, total translation mix; S, supernatant; P, precipitate; Ft, flow through; Ne, elution treated with non-reducing buffer; E, elution treated with reducing buffer. b-d Recombinant PvRAMA protein (appox. 43 kDa) under reducing conditions was probed with the anti-His tag antibody (b), rPvRAMA-immunized mouse serum (c) and PBS-immunized mouse serum (d).

Additional file 3: Figure S2.Comparison of PvRAMA amino acid sequences. The first line was the reference sequence: PvRAMA of the Sal-1 strain. The number of P. vivaxisolates with the same amino acid sequence is shown in parentheses.

Additional file 2: Fig. S2. Correlation between biventricular global strain and age assessed by Medis. Linear regressions with the 95% prediction band for LV global radial strain (GRS) (a), global circumferential strain (GCS) (b), global longitudinal strain (GLS) (c), and RV free wall- global longitudinal strain (RVFW-GLS) (d).

Additional file 1: Figure S1. Feature plots for various genes that help to attribute identities. The intensity of blue is related to the relative expression of the gene in a particular cell.

Additional file 2: Figure S2. Frequency of SIGIRR in memory CD4 T cells in PBMCs of RA patients stratified by CCP expression.

Additional file 3: Figure S3. Cytokine production in SIGIRR-positive or SIGIRR-negative memory CD4 T cells of patients with RA and the healthy population. Related to Fig. 2. (A-B), Memory CD4 T cells were identified as CD4 + CD45RO + CD45RA − previously gated on single live (FVS780 −) lymphocytes (FSC low SSC low). Representative flow cytometry contour plots for intracellular cytokine production among SIGIRR+ memory CD4 T cells in healthy and RA cohorts (n =...

Additional file 4: Figure S4. Targeted disruption of the mouse gene encoding SIGIRR. (A), Schematic of Sigirr deletion in C57BL/6 mice and primers for genotyping. The offspring were born at the expected Mendelian ratios. (B), Sigirr genotyping using the F1, F2 and R1 primers listed in the Materials and Methods. The red arrow shows the knockout band (700 bp), and the blue arrow shows the wild-type band (500 bp). (C), Splenomegaly in naïve SIGIRR KO...

Additional file 5: Supplementary Fig. S4. Prognostic value of hub genes for OS in AML patients.

Additional file 1: Supplementary figure 1. Functional enrichment analyses of differentially expressed genes (DEGs) in chronic lymphocytic leukemia (CLL) cell lines. (A) GO analysis results showed that changes in MF, CC and BP of DEGs between CLL cell lines and control were mainly enriched in sequence−specific DNA binding, Golgi membrane and cation transmembrane transport. (B) KEGG enrichment analysis of DEGs in CLL cell lines and control were mainly enriched in mTOR signaling pathway, NF-kappaB signaling...

Additional file 1: Supplementary figure 1. Functional enrichment analyses of differentially expressed genes (DEGs) in chronic lymphocytic leukemia (CLL) cell lines. (A) GO analysis results showed that changes in MF, CC and BP of DEGs between CLL cell lines and control were mainly enriched in sequence−specific DNA binding, Golgi membrane and cation transmembrane transport. (B) KEGG enrichment analysis of DEGs in CLL cell lines and control were mainly enriched in mTOR signaling pathway, NF-kappaB signaling...

Additional file 3: Supplementary figure 3. The expression of TRIM34, SLC30A10, HOXD4 and circ_0007675 in CLL patients and normal B cells.(A) The expression of TRIM34 in patient specimens were significantly increased. (B) The expression of SLC30A10 in patient specimens were significantly increased. (C) The expression of HOXD4 in patient specimens were significantly increased. (D) The expression of circ_0007675 in patient specimens were significantly increased. All results are expressed as mean ± SEM.

Additional file 4: Supplementary figure 4. Efficiency of miR-185-3p transfection and functional enrichment analyses of target genes of circ_0002078. (A) Efficiency verification of miR-185-3p overexpression in MEC-1 cells by qRT-PCR. (B) GO analysis results demonstrated that the target genes of circ_0002078 were enriched in positive regulation of gene expression, lymphocyte proliferation, and regulation of B cell apoptotic process. (C) KEGG pathway analysis showed that the target genes were primarily relevant to JAK-STAT signaling pathway and...

Additional file 2: Figure S2. SOX21-AS1 silence suppressed the progression of PC. A-G Loss-of-function assays were performed in another two PC cell lines (CFPAC-1 and BxPc3) to further verify the malignant cell behaviors including proliferation, migration, EMT as well as apoptosis upon SOX21 silence treatment. **P < 0.01.

Additional file 3: Figure S3. SOX21-AS1 affected PC cell proliferation, apoptosis, migration, stemness and EMT via modulating SOX21 expression. Rescue experiments in PC cells transfected with shRNA, sh-SOX21-AS1#1 and sh-SOX21-AS1#1 + pcDNA-SOX21, respectively. A-B Cell proliferation detection. C Cell apoptosis detection. D Transwell assays detected the migration ability. E Sphere formation assays detected the stemness. F Western blot analyzed the protein levels of EMT markers and transcription factors. **P < 0.01.

Additional file 3: Fig. S2. Multicollinearity analysis for BMI and the MNA-SF.

Supplementary Material 5

Supplementary Material 5