Fig 1: Signalling pathways leading to apoptosis. Western Blot data based on literature research36,37 after transfection of SKOV3 cells with miRNA-744 or with siRNA against NFIX (a) or HNRNPC (b) and qRT-PCR (c) confirmed the potential signalling pathway by reduced expression of NFIX and Bcl2 as well as diminished phosphorylation of AKT. By binding to NFIX and HNRNPC miRNA-744 is interfering with the intrinsic apoptotic pathway. Downregulation of HNRNPC resulted in enhanced expression and activation of PDCD4 and p70S6K36 (e). Reduced NFIX expression, induced by binding of miR-744, leads to reduced expression of Bcl2 leading to apoptosis (d). The expression analysis of miR-744 and miR-21 was normalized to the CT value of U6 snRNA55. Statistical differences were tested using paired t-test. In order to analyse DNA fragmentation (cells in sub G0/G1, d) SKOV3 cells were seeded and transfected as described in Fig. 3 with miR-744 mimics, non-targeting siRNA (NT, negative control for cell death), or siRNA against NFIX or HNRNPC. Statistical analysis was performed by one-way ANOVA followed by Bonferroni post-test (d). [n = 3 technical replicates; mean ± SD; **p < 0.01; ***p < 0.001; ****p < 0.0001]. The cells were harvested for Western Blot analysis 60 h after treatment (a and b). GAPDH was used as loading control.
Fig 2: HNRNPC and NFIX as direct targets for miR-744. To validate miR-744 mediated regulation of potential target genes, SKOV3 and OVCAR3 cells were transfected with miR-744 mimic or non-targeting siRNA (NT, negative control for cell death) as described in Fig. 3. After 48 h, potential target gene expression was analysed by qRT-PCR. The relative mRNA expression of potential target genes was normalized to PPIA and NT employing the Livak method55 (a). Significantly downregulated potential targets were further analysed by the Luciferase Reporter Assay (b and c) to proof direct binding of the miRNA to its predicted target sequence. Anti-miR-744 was used to confirm the binding sides of miR-744 to the target mRNAs (d). The binding sites in the 3′UTR (Table 3), based on data of microRNA.org34 and TargetScanHuman35, were cloned into a pMirGLO vector. Relative luciferase activity was measured 72 h after co-transfection of the pMirGLO vector with miR-744 mimic, miRNA inhibitor anti-miR-744 or non-targeting siRNA (NT) in HEK293T cells. The relative luciferase expression was normalized to the expression after co-transfection with NT. For Western Blot analysis, SKOV3 and OVCAR3 cells were harvested 60 h after miR-744 transfection (e). The representative blots were stained with antibodies against NFIX and HNRNPC. GAPDH was used as loading control. Statistical differences were tested using paired t-test [n = 3 biological and technical replicates; mean ± SD; *p < 0.05; **p < 0.01; ***p < 0.001; ****p < 0.0001].
Fig 3: CMTR1 interacts with splicing factor ELAVL1 in gastric cancer cells. a GO pathway analysis via Metascape program (https://metascape.org) of 204 CMTR1-interacting proteins derived from BioGRID database (https://thebiogrid.org). b Venn diagram showing the identification of CMTR1-binding partners via over-lapping analysis of CMTR1-interactng proteins derived from BioGRID database, established splicing factors, and RBPs binding with CD44 pre-mRNA in POSTAR3 (http://postar.ncrnalab.org) or ENCORI (https://rnasysu.com/encori/) database. c Co-IP and western blot assays indicating the interaction of CMTR1 with splicing factors in AGS cells. d Schematic depiction (upper panel) and cross-linking RIP assay (lower panel) showing the interaction of ELAVL1, HNRNPC, HNRNPU, or PTBP1 with CD44 pre-mRNA containing alternative splicing sites around exon 10 in AGS cells. e RT-PCR assay (left panel) and western blot (right panel) assays indicating the differential expression levels of CD44v6 and CD44s in gastric cancer AGS and MKN-45 cells stably transfected with empty vector (mock), ELAVL1, scramble shRNA (sh-Scb), sh-ELAVL1 #1, or sh-ELAVL1 #2. f Representative images (upper panel) and quantification (lower panel) of immunofluorescence assay showing the co-localization (arrowheads) of ELAVL1 with CMTR1 in HGC-27 cells. g BiFC assay indicating interaction between CMTR1 and ELAVL1 (arrowheads) within HGC-27 cells co-transfected with pBiFC-VN173-CMTR1 and pBiFC-VC155- ELAVL1, with nuclei staining by DAPI. h In vitro binding (left panel), co-IP (right panel) and western blot assays showing the interaction between GST-tagged CMTR1 and MBP-tagged ELAVL1 proteins, and that in AGS cells transfected with full-length or truncations of HA-tagged CMTR1 and Flag-tagged ELAVL1 constructs. Fisher's exact test for over-lapping analysis in b. Data are representative of three independent experiments in c-h
Fig 4: Introns flanking circularizing exons are enriched for hnRNP C strong binding sites in proximity of Alu elements.(A to E) Features of the flanking introns sequences belonging to the up-regulated circRNAs in HNRNPC-depleted cells compared to flanking introns of unregulated circRNAs. Student’s t test; *P < 0.05 and ****P < 0.0001; n.s., not significant. (F) Pie chart showing the percentages and numbers of BSJs up-regulated by hnRNP C and characterized by flanking introns containing hnRNP C iCLIP peaks in Alu elements. (G) Schematic representation of hnRNP C–binding sites analyzed by CLIP-qPCR within the indicated transcripts. Yellow boxes indicate predicted hnRNP C–binding motifs overlapping with Alu elements (shown in red). Arrowheads denote the positions of primer pairs used in CLIP-qPCR to quantify pre-mRNA region bound by hnRNP C. Nucleotide positions are given relative to the intron start site, where the first nucleotide of the intron is designated as +1. (H) CLIP assays performed in D341 cells using anti-hnRNP C antibody or IgGs as a negative control. Data are represented as fold change enrichment over IgGs (n = 3; means ± SEM; Student’s t test versus IgG; *P < 0.05 and ***P < 0.001).
Fig 5: HnRNP C is a general repressor of circRNA biogenesis in group 3 MB cells.(A) Percentage of circRNAs generated from exons, introns, intergenic regions, and antisense transcripts in siNC and siHNRNPC samples. (B) Number of unique circRNAs detected in siNC- and siHNRNPC-treated D341 cells. Median with interquartile range is shown (Student’s t test; **P < 0.01). (C) Number of circRNA-producing genes in siNC and siHNRNPC samples. (D) Circular to linear read-count ratio per circRNA in control and HNRNPC-depleted cells. P value is shown (Student’s t test). (E) Percentage of hnRNP C–regulated genes in terms of back-splicing (BS; n = 352), alternative splicing (AS; n = 648), and gene expression (GE; n = 572). Fisher’s exact test; *P = 0.03, ****P = 8.17 × 10−51, and ####P = 6.5 × 10−60. (F) Number of up-regulated and down-regulated circRNAs upon HNRNPC depletion. (G) Gene set enrichment analysis of the genes generating up-regulated circRNAs was performed using Enrichr (https://maayanlab.cloud/Enrichr/). (H) Validation of six up-regulated exonic circRNAs contained in the list of the top 8 most up-regulated circRNAs in HNRNPC-depleted cells (n = 4; means ± SD; Student’s t test versus siNC; *P < 0.05, **P < 0.01, and ***P < 0.001).
from Cell Signaling Technology for hnRNP C1/C2 (D6S3N) Rabbit mAb