Fig. 1: Functional screening to identify AKAP8 as an hnRNPM-interacting protein.

a A flow chart showing the experimental approaches to identify hnRNPM-interacting proteins. b qRT-PCR analysis of the CD44v8 splicing reporter minigene screening for the candidate splicing factors. Data were plotted as the Log2 transformed v8 exon inclusion versus skipping with mean ± s.d, n = 3. Incl: Inclusion. c Western blot analysis showing the interactions between hnRNPM and its candidate interacting proteins. A Flag-tagged hnRNPM cDNA was transfected into the 293 cells and immunoprecipitated with a Flag antibody with or without RNase treatment. Antibodies recognizing specific candidates were used for western blot analysis. d Kaplan–Meier plot analysis of breast cancer patient distal metastasis-free survival (GSE20685, n = 237) showing that higher levels of AKAP8 expression predict lower metastatic potential. P value was calculated by log-rank test. e Kaplan–Meier plot analysis of the METABRIC breast cancer data set (n = 1758) showing that higher expression of AKAP8 shows better patient survival probability. f Box and whiskers plots with jitters representing distribution of AKAP8 mRNA expression levels in luminal A (LumA), claudin low (CLOW), and basal (Basal) breast cancers patients from the breast cancer METABRIC data set. The line within each box represents the median. Upper and lower edges of each box represent 75th and 25th percentile, respectively. The whiskers represent the maximum and minimum values within 1.5× the interquartile range. P values were calculated by two sample z test in e, f. Source data are provided as a Source Data file.