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Alternative pre-mRNA splicing is a prevalent mechanism in mammals that promotes proteomic diversity, including expression of cell-type specific protein isoforms. We characterized a role for RBM38 (RNPC1) in regulation of alternative splicing during late erythroid differentiation. We used an Affymetrix human exon junction (HJAY) splicing microarray to identify a panel of RBM38-regulated alternatively spliced transcripts. Using microarray databases, we noted high RBM38 expression levels in CD71(+) erythroid cells and thus chose to examine RBM38 expression during erythroid differentiation of human hematopoietic stem cells, detecting enhanced RBM38 expression during late erythroid differentiation. In differentiated erythroid cells, we validated a subset of RBM38-regulated splicing events and determined that RBM38 regulates activation of Protein 4.1R (EPB41) exon 16 during late erythroid differentiation. Using Epb41 minigenes, Rbm38 was found to be a robust activator of exon 16 splicing. To further address the mechanism of RBM38-regulated alternative splicing, a novel mammalian protein expression system, followed by SELEX-Seq, was used to identify a GU-rich RBM38 binding motif. Lastly, using a tethering assay, we determined that RBM38 can directly activate splicing when recruited to a downstream intron. Together, our data support the role of RBM38 in regulating alternative splicing during erythroid differentiation.

Standard methods for assessing mRNA stabilities in intact cells are labor-intensive and can generate half-life (t(1/2)) measures that are both imprecise and inaccurate. We describe modifications to a conventional tetracycline-conditional transcriptional chase method for analyzing mRNA stability that significantly simplify its conduct, while generating highly reproducible and accurate t(1/2) values. The revised method-which is conducted as a reverse time course, and which accounts for interval expansion in the number of cultured cells-is validated for the analyses of mRNAs with both short and long half-lives. This approach facilitates accurate assessment of mRNA metabolism, providing a user-friendly tool for detailed investigations into their structures and functions, as well as the processes that contribute to their post-transcriptional regulation.