Phylogenetic and Molecular Characterization of the Splicing Factor RBM4

The mammalian multi-functional RNA-binding motif 4 (RBM4) protein regulates alterative splicing of precursor mRNAs and thereby affects pancreas and muscle cell differentiation. RBM4 homologs exist in all metazoan lineages. The C-terminal unstructured domain of RBM4 is evolutionarily divergent and contains stretches of low-complexity sequences, including single amino acid and/or dipeptide repeats. Here we examined the splicing activity, phosphorylation potential, and subcellular localization of RBM4 homologs from a wide range of species. The results show that these RBM4 homologs exert different effects on 5′ splice site utilization and exon selection, and exhibit different subnuclear localization patterns. Therefore, the C-terminal domain of RBM4 may contribute to functional divergence between homologs. On the other hand, analysis of chimeric human RBM4 proteins containing heterologous sequences at the C-terminus revealed that the N-terminal RNA binding domain of RBM4 could have a dominant role in determining splicing outcome. Finally, all RBM4 homologs examined could be phosphorylated by an SR protein kinase, suggesting that they are regulated by a conserved mechanism in different species. This study offers a first clue to functional evolution of a splicing factor.     

Wobble splicing reveals the role of the branch point sequence-to-NAGNAG region in 3' tandem splice site selection

Alternative splicing involving the 3' tandem splice site NAGNAG sequence may play a role in the structure-function diversity of proteins. However, how 3' tandem splice site utilization is determined is not well understood. We previously demonstrated that 3' NAGNAG-based wobble splicing occurs mostly in a tissue- and developmental stage-independent manner. Bioinformatic analysis reveals that the nucleotide preceding the AG dinucleotide may influence 3' splice site utilization; this is also supported by an in vivo splicing assay. Moreover, we found that the intron sequence plays an important role in 3' splice site selection for NAGNAG wobble splicing. Mutations of the region between the branch site and the NAGNAG 3' splice site, indeed, affected the ratio of the distal/proximal AG selection. Finally, we found that single nucleotide polymorphisms around the NAGNAG motif could affect the splice site choice, which may lead to a change in mRNA patterns and influence protein function. We conclude that the NAGNAG motif and its upstream region to the branch point sequence are required for 3' tandem splice site selection.     

Translational control of cyclins

Regulation of cyclin levels is important for many cell cycle-related processes and can occur at several different steps of gene expression. Translational regulation of cyclins, which occurs by a variety of regulatory mechanisms, permits a prompt response to signal transduction pathways induced by environmental stimuli. This review will summarize translational control of cyclins and its influence on cell cycle progression.     

RBM4 interacts with an intronic element and stimulates tau exon 10 inclusion

Tau protein, which binds to and stabilizes microtubules, is critical for neuronal survival and function. In the human brain, tau pre-mRNA splicing is regulated to maintain a delicate balance of exon 10-containing and exon 10-skipping isoforms. Splicing mutations affecting tau exon 10 alternative splicing lead to tauopathies, a group of neurodegenerative disorders including dementia. Molecular mechanisms regulating tau alternative splicing remain to be elucidated. In this study, we have developed an expression cloning strategy to identify splicing factors that stimulate tau exon 10 inclusion. Using this expression cloning approach, we have identified a previously unknown tau exon 10 splicing regulator, RBM4 (RNA binding motif protein 4). In cells transfected with a tau minigene, RBM4 overexpression leads to an increased inclusion of exon 10, whereas RBM4 down-regulation decreases exon 10 inclusion. The activity of RBM4 in stimulating tau exon 10 inclusion is abolished by mutations in its RNA-binding domain. A putative intronic splicing enhancer located in intron 10 of the tau gene is required for the splicing stimulatory activity of RBM4. Immunohistological analyses reveal that RBM4 is expressed in the human brain regions affected in tauopathy, including the hippocampus and frontal cortex. Our study demonstrates that RBM4 is involved in tau exon 10 alternative splicing. Our work also suggests that down-regulating tau exon 10 splicing activators, such as RBM4, may be of therapeutic potential in tauopathies involving excessive tau exon 10 inclusion.     

A role for transportin in deposition of TTP to cytoplasmic RNA granules and mRNA decay

Importin-β family members, which shuttle between the nucleus and the cytoplasm, are essential for nucleocytoplasmic transport of macromolecules. We attempted to explore whether importin-β family proteins change their cellular localization in response to environmental change. In this report, we show that transportin (TRN) was minimally detected in cytoplasmic processing bodies (P-bodies) under normal cell conditions but largely translocated to stress granules (SGs) in stressed cells. Fluorescence recovery after photobleaching analysis indicated that TRN moves rapidly in and out of cytoplasmic granules. Depletion of TRN greatly enhanced P-body formation but did not affect the number or size of SGs, suggesting that TRN or its cargo(es) participates in cellular function of P-bodies. Accordingly, TRN associated with tristetraprolin (TTP) and its AU-rich element (ARE)-containing mRNA substrates. Depletion of TRN increased the number of P-bodies and stabilized ARE-containing mRNAs, as observed with knockdown of the 5′–3′ exonuclease Xrn1. Moreover, depletion of TRN retained TTP in P-bodies and meanwhile reduced the fraction of mobile TTP to SGs. Therefore, our data together suggest that TRN plays a role in trafficking of TTP between the cytoplasmic granules and whereby modulates the stability of ARE-containing mRNAs.     

The exon junction complex component Y14 modulates the activity of the methylosome in biogenesis of spliceosomal small nuclear ribonucleoproteins

The RNA-binding protein Y14 heterodimerizes with Mago as the core of the exon junction complex during precursor mRNA splicing and plays a role in mRNA surveillance in the cytoplasm. Using the Y14/Magoh heterodimer as bait in a screening for its interacting partners, we identified the protein-arginine methyltransferase PRMT5 as a candidate. We show that Y14 and Magoh, but not other factors of the exon junction complex, interact with the cytoplasmic PRMT5-containing methylosome. We further provide evidence that Y14 promoted the activity of PRMT5 in methylation of Sm proteins of the small nuclear ribonucleoprotein core, whereas knockdown of Y14 reduced their methylation level. Moreover, Y14 overexpression induced the formation of a large, active, and small nuclear ribonucleoprotein (snRNP)-associated methylosome complex. However, Y14 may only transiently associate with the snRNP assembly complex in the cytoplasm. Together, our results suggest that Y14 facilitates Sm protein methylation probably by its activity in promoting the formation or stability of the methylosome-containing complex. We hypothesize that Y14 provides a regulatory link between pre-mRNA splicing and snRNP biogenesis.     

Alanine repeats influence protein localization in splicing speckles and paraspeckles

Mammalian splicing regulatory protein RNA-binding motif protein 4 (RBM4) has an alanine repeat-containing C-terminal domain (CAD) that confers both nuclear- and splicing speckle-targeting activities. Alanine-repeat expansion has pathological potential. Here we show that the alanine-repeat tracts influence the subnuclear targeting properties of the RBM4 CAD in cultured human cells. Notably, truncation of the alanine tracts redistributed a portion of RBM4 to paraspeckles. The alanine-deficient CAD was sufficient for paraspeckle targeting. On the other hand, alanine-repeat expansion reduced the mobility of RBM4 and impaired its splicing activity. We further took advantage of the putative coactivator activator (CoAA)-RBM4 conjoined splicing factor, CoAZ, to investigate the function of the CAD in subnuclear targeting. Transiently expressed CoAZ formed discrete nuclear foci that emerged and subsequently separated—fully or partially—from paraspeckles. Alanine-repeat expansion appeared to prevent CoAZ separation from paraspeckles, resulting in their complete colocalization. CoAZ foci were dynamic but, unlike paraspeckles, were resistant to RNase treatment. Our results indicate that the alanine-rich CAD, in conjunction with its conjoined RNA-binding domain(s), differentially influences the subnuclear localization and biogenesis of RBM4 and CoAZ.     

Joint Modeling and Registration of Cell Populations in Cohorts of High-Dimensional Flow Cytometric Data

In biomedical applications, an experimenter encounters different potential sources of variation in data such as individual samples, multiple experimental conditions, and multivariate responses of a panel of markers such as from a signaling network. In multiparametric cytometry, which is often used for analyzing patient samples, such issues are critical. While computational methods can identify cell populations in individual samples, without the ability to automatically match them across samples, it is difficult to compare and characterize the populations in typical experiments, such as those responding to various stimulations or distinctive of particular patients or time-points, especially when there are many samples. Joint Clustering and Matching (JCM) is a multi-level framework for simultaneous modeling and registration of populations across a cohort. JCM models every population with a robust multivariate probability distribution. Simultaneously, JCM fits a random-effects model to construct an overall batch template – used for registering populations across samples, and classifying new samples. By tackling systems-level variation, JCM supports practical biomedical applications involving large cohorts. Software for fitting the JCM models have been implemented in an R package EMMIX-JCM, available from http://www.maths.uq.edu.au/~gjm/mix_soft/EMMIX-JCM/.