Abstract
The human gene encoding the cleavage/polyadenylation (C/P) factor CstF-77 contains 21 exons. However, intron 3 (In3) accounts for nearly half of the gene region, and contains a C/P site (pA) with medium strength, leading to short mRNA isoforms with no apparent protein products. This intron contains a weak 5′ splice site (5′SS), opposite to the general trend for large introns in the human genome. Importantly, the intron size and strengths of 5′SS and pA are all highly conserved across vertebrates, and perturbation of these parameters drastically alters intronic C/P. We found that the usage of In3 pA is responsive to the expression level of CstF-77 as well as several other C/P factors, indicating it attenuates the expression of CstF-77 via a negative feedback mechanism. Significantly, intronic C/P of CstF-77 pre-mRNA correlates with global 3′UTR length across cells and tissues. In addition, inhibition of U1 snRNP also leads to regulation of the usage of In3 pA, suggesting that the C/P activity in the cell can be cross-regulated by splicing, leading to coordination between these two processes. Importantly, perturbation of CstF-77 expression leads to widespread alternative cleavage and polyadenylation (APA) and disturbance of cell proliferation and differentiation. Thus, the conserved intronic pA of the CstF-77 gene may function as a sensor for cellular C/P and splicing activities, controlling the homeostasis of CstF-77 and C/P activity and impacting cell proliferation and differentiation.
Author Summary
Autoregulation is commonly used in biological systems to control the homeostasis of certain activity, and cross-regulation coordinates multiple processes. We show that vertebrate genes encoding the cleavage/polyadenylation (C/P) factor CstF-77 contain a conserved intronic C/P site (pA) which regulates CstF-77 expression through a negative feedback loop. Since the usage of this intronic pA is also responsive to the expression of other C/P factors, the pA can function as a sensor for the cellular C/P activity. Because the CstF-77 level is important for the usage of a large number of pAs in the genome and is particularly critical for expression of genes involved in cell cycle, this autoregulatory mechanism has far-reaching implications for cell proliferation and differentiation. The human intron harboring the pA is large and has a weak 5′ splice site, both of which are also highly conserved in other vertebrates. Inhibition of U1 snRNP, which recognizes the 5′ splice site of intron, leads to upregulation of the intronic pA isoform of CstF-77 gene, suggesting that the C/P activity in the cell can be cross-regulated by splicing, leading to coordination between these two processes.
Introduction
Pre-mRNA cleavage/polyadenylation (C/P) is a 3′ end processing mechanism employed by almost all protein-coding genes in eukaryotes [1], [2]. The site for C/P, commonly known as the polyA site or pA, is typically defined by both upstream and downstream cis elements [3], [4]. In metazoans, upstream elements include the polyadenylation signal (PAS), such as AAUAAA, AUUAAA, or close variants, located within ∼40 nucleotides (nt) from the pA; the UGUA element [5], typically located upstream of the PAS; and U-rich elements located around the PAS. Downstream elements include the U-rich and GU-rich elements, which are typically located within ∼100 nt downstream of the pA.
Most mammalian genes express alternative cleavage and polyadenylation (APA) isoforms [6], [7]. While the majority of alternative pAs are located in the 3′-most exon, leading to regulation of 3′ untranslated regions (3′UTRs), about half of the genes have pAs located in introns [8], leading to changes in coding sequences (CDSs) and 3′UTRs. Intronic pAs can be classified into two groups depending upon the splicing structure of the resultant terminal exon: composite terminal exon pA or skipped terminal exon pA. A composite terminal exon pA is located in a terminal exon which contains both exon and intron sequences. In this case, a 5′ splice site (5′SS) is located upstream of the pA. A skipped terminal exon pA is located in a terminal exon which can be entirely skipped in splicing. We previously found that composite terminal exon pAs in the human genome are typically located in large introns with weak 5′SS [9]. A classic model of composite terminal exon pA is the intronic pA of the immunoglobulin heavy chain M (IgM) gene [10]. IgM mRNAs switch from using a 3′-most exon pA to an intronic pA during activation of B cells, which results in a shift in protein production from a membrane-bound form to a secreted form.
In mammalian cells, over 20 proteins are directly involved in C/P [1], [11]. Some proteins form complexes, including the Cleavage and Polyadenylation Specificity Factor (CPSF), containing CPSF-160, CPSF-100, CPSF-73, CPSF-30, hFip1, and Wdr33; the Cleavage stimulation Factor (CstF), containing CstF-77, CstF-64, and CstF-50; Cleavage Factor I (CFI), containing CFI-68 or CFI-59 and CFI-25; and Cleavage Factor II (CFII), containing Pcf11 and Clp1. Single proteins involved in C/P include Symplekin, poly(A) polymerase (PAP), nuclear poly(A) binding protein (PABPN), and RNA Polymerase II (RNAPII). In addition, RBBP6, PP1α, PP1β are homologous to yeast C/P factors [12], whose functions in 3′ end processing are yet to be established in mammalian cells.
CstF-77 has been shown to interact with several proteins in the C/P complex, such as CstF-64 and CstF-50 in CstF [13], [14], [15], [16], CPSF-160 [17], and the carboxyl (C)-terminal domain (CTD) of RNAPII [18]. CstF-77 can dimerize through the second half of its amino (N)-terminal 12 HAT domains [15], [16], which is also responsible for dimerization of the CstF complex. Therefore, the role of CstF-77 in 3′ end processing appears to be bridging and/or positioning various factors for C/P. While CstF-77 has not been extensively studied in mammalian cells, its homolog in Drosophila, suppressor of forked or su(f), has been associated with a number of functions. First, su(f) regulates 3′ end processing of transposable elements, impacting their effects on cellular genes [14], [19], [20]; Second, su(f) regulates the usage of an intronic pA of its own pre-mRNA, creating an autoregulatory mechanism [21]; Third, su(f) is more expressed in mitotically active cells, which was suggested to be attributable to weak autoregulation in dividing cells compared to non-dividing ones [22], and the su(f) mutant strain showed a defect in cell proliferation [23]. However, not all parts of su(f) can be replaced by human CstF-77 for functional complementation, indicating structural and functional differences between these two proteins [24].
We previously identified a conserved pA in intron 3 (In3) of the human CstF-77 gene [25]. Here, we analyze the function of In3 pA and the significance of its flanking splicing and C/P features. We elucidate how In3 pA usage is related to global 3′UTR regulation across cells and tissues, and how In3 pA is regulated by C/P and splicing activities. We demonstrate that perturbation of CstF-77 expression leads to widespread APA and disturbance of cell proliferation and differentiation.
Results
The intronic pA of human CstF-77 gene is surrounded by various conserved features
We previously found that vertebrate genes encoding the C/P factor CstF-77 contain a conserved intronic pA (Figure S1) [25]. To elucidate the function of this pA, we first focused on the human CstF-77 gene (CSTF3), which has 21 exons (Figure 1A) with the conserved intronic pA located in intron 3 (In3). Remarkably, the 5′ portion of the gene before exon 4 accounts for 69% of the gene region. Both introns 1 and 3 are very large, with intron 3 (33.2 kb) being larger than 96% of all introns in the human genome and accounting for 43% of the gene region, whereas intron 2 is small, below 8% of all introns in the genome (Figure 1B, left panel). In addition, introns 1–3 are highly conserved in size across vertebrate CstF-77 genes, both in absolute and relative values (Figure S2A), suggesting functional relevance. Using the maximum entropy (MaxEnt) method to examine splice site strength [26], we found that the 5′ splice site (5′SS) of intron 3 is very weak, at the 0.7th-percentile of all introns in the human genome (Figure 1B, middle panel), whereas the 3′SS of intron 3 is very strong, at the 94.3th-percentile of all human introns (Figure 1B, right panel). Notably, using PhastCons scores [27], we found that the surrounding sequences of the 5′SS and intronic pA are much more conserved than those of other 5′SSs and pAs, respectively, in the human genome (Figure S2B). By contrast, conservation of sequence around the 3′SS is modest (Figure S2B).
We next examined how unique is the combination of large intron, weak 5′SS and strong 3′SS in the human genome. Since splicing in higher species is typically governed by the exon-definition model [28], we also included 3′SS of exon 3 and 5′SS of exon 4 in the analysis (Figure 1C). Using the intron density map (see Materials and Methods for detail) to simultaneously interrogate intron size and 5′SS or 3′SS strength (Figures 1D and 1E), we found that large introns in the human genome in general are flanked by strong 5′SS and 3′SS of both upstream and downstream exons, as indicated by enrichment of introns with these features relative to introns with randomized size and 5′SS or 3′SS strengths (shown as observed (Obs)/expected (Exp)). This trend holds for intron 3 of CSTF3 except for its 5′SS. Indeed, the combination of large intron with weak 5′SS is significantly depleted in the human genome (Figure 1D). Therefore, the combination of large size and weak 5′SS of intron 3 is rather unique for human introns.
Perturbations of splicing or pA parameters impact intronic C/P
To examine the significance of various features surrounding In3 pA of CSTF3, we constructed reporter plasmids (called pRinG-77S) containing an intron using the 5′SS and 3′SS of intron 3 (Figure 2A). The 5′ region also contained the In3 pA, which can lead to a short, intronic pA isoform (isoform P) encoding the red fluorescence protein (RFP). If the intronic pA is not used, a long, splicing isoform (isoform S) is expressed, which encodes both RFP and enhanced green fluorescence protein (EGFP)(Figure 2A).
To examine the importance of intron size, we cloned 3′ regions of intron 3 with various sizes. As the insert size increased, the amount of intronic pA product also increased (Figure 2B). A linear correlation between the ratio of isoform P to isoform S (log2), representing the intronic pA usage, and the insert size can be discerned for inserts from 401–1,690 nt. However, the ratio did not change when the insert size was increased to 2,378 nt. This regulation of intronic pA usage is due to the change of intron size rather than the distance between the intronic pA and the SV40 pA at the 3′ end of reporter gene, because no significant difference could be discerned when we expanded the region after 3′SS by adding another EGFP sequence (Figure S3A). In addition, a linear decrease of intronic pA usage was also observed when the distance between 5′SS and pA was expanded by random sequences (Figure S3B). Taken together, these data indicate that there is a kinetic competition between C/P and splicing in the usage of In3 pA.
Several cis elements around In3 pA are highly conserved across vertebrates, including the upstream UGUA and AUUAAA elements and downstream U-rich and GU-rich elements (Figure S1). To examine the contributions of these cis elements to the pA strength, we mutated AUUAAA to AAUAAA, a stronger C/P signal [29], and/or deleted the downstream GU-rich elements. We found that mutation of AUUAAA to AAUAAA led to an ∼2-fold increase in pA usage, whereas deletion of the GU-rich elements led to an ∼10-fold decrease (Figure 2C). Thus, this analysis indicates that the strength of In3 pA of CSTF3 is at a suboptimal level. Interestingly, the slope of the curve for log2(P/S) vs. pA to 3′SS distance appeared different for constructs with GU-rich elements compared to those without (Figure 2C). By contrast, mutation of AAUAAA to AUUAAA did not lead to a slope change, suggesting that the contribution of GU-rich elements to pA strength may be different than that of PAS.
We next examined the importance of 5′SS and 3′SS strengths. We mutated the 5′SS sequence to two stronger sequences (mutants 1 and 2, Figure 2D) based on their MaxEnt scores. Mutants 1 and 2 would be at the 51.9th- and 95.5th-percentile, respectively, in the human genome. The relative strengths of the 5′SSs were also confirmed by comparison with the consensus sequence of all human 5′SSs, represented by position-specific scoring matrix (PSSM) scores, and by free energy values for base-pairing with U1 snRNA (Figure 2D). Strengthening 5′SS drastically inhibited intronic pA usage: ∼90% decrease for mutant 1 and no detectable intronic pA usage for mutant 2 even though AAUAAA was used as PAS (Figure 2D). We also weakened 3′SS strength from the 94.3th-percentile to the 3.8th-percentile based on the MaxEnt score. However, only a minor increase of intronic pA usage was detected (Figure 2E). Together, these data indicate 5′SS strength is a determining factor for the usage of In3 pA.
Intronic pA usage is part of a feedback mechanism to regulation CstF-77 expression
In both human and mouse cells, the In3 pA can lead to 2 short isoforms (isoforms 2 and 3 in Figure 1A), depending upon whether or not intron 2 is spliced. The isoform 2, which does not have retention of intron 2, is ∼2–3-fold more abundant than isoform 3 in HeLa and C2C12 cells based on the semi-quantitative reverse transcription (RT)-PCR analysis (Figure S4). According to the open reading frames, isoform 2 would encode a protein of 103 amino acids (aa), containing the N-terminal region of CstF-77 and some aa from the intronic region of intron 3 (Figure S5), whereas isoform 3 would encode a protein of 44 aa. However, we could not detect these protein products using various antibodies against the N-terminal region of CstF-77. In addition, several lines of evidence indicate that the coding region from intron 3 may cause rapid degradation of the protein encoded in isoform 2: 1) pRinG-77S constructs expressing different amounts of intronic pA isoforms showed the same red fluorescence to green fluorescence ratio when transfected into HeLa cells (Figure S6A); 2) immunoblot analysis using an antibody against RFP did not detect protein products of the intronic isoforms expressed from pRinG-77S constructs (Figure S6B); 3) a bicistronic mRNA containing RFP tagged with the intronic coding sequence between 5′SS and stop codon followed by IRES and EGFP resulted in green fluorescence only (Figure S6C). Thus, it appears that the protein products from intronic pA isoforms are expressed at very low levels at most.
Given that CstF-77 is a C/P factor, we next reasoned that it may regulate the usage of its own intronic pA, creating a feedback autoregulatory mechanism, similar to its fly homolog su(f) [21]. To this end, we used small interfering RNAs (siRNAs) to specifically knock down the expression of the CstF-77 transcripts encoding full length protein (named CstF-77.L mRNAs). The CstF-77.L mRNA level significantly decreased after 8 hr of siRNA transfection and its protein level started to decrease after 16 hr (Figure 3A). Interestingly, expression of isoforms 2 and 3, collectively named CstF-77.S mRNAs, also gradually decreased after 16 hr, indicating that the expression of CstF-77.S mRNAs can be controlled by the CstF-77 protein level. By contrast, knockdown of CstF-77.S mRNAs (by ∼50%, Figure 3B, left) did not affect CstF-77.L mRNAs (Figure 3B, right), suggesting that expression of CstF-77.S mRNA is not important for CstF-77.L expression. In accord with the autoregulatory mechanism, expression of exogenous CstF-77 led to increased expression of endogenous CstF-77.S mRNAs and decreased expression of endogenous CstF-77.L mRNAs (Figure 3C). Consistently, knockdown of CstF-77.L mRNAs inhibited intronic pA usage for the reporter construct pRinG-77S-831 (structure shown in Figure 2A), whereas knockdown of CstF-77.S mRNAs had no effect (Figure 3D); and overexpression of CstF-77 enhanced intronic pA usage for the reporter construct (Figure 3E).
We next reasoned that the negative feedback autoregulatory control may cause CstF-77.S and CstF-77.L isoforms to oscillate in their expression. To test this hypothesis, we examined expression of CstF-77.S and CstF-77.L mRNAs over time after plating cells. Indeed, as shown in Figure 4F, these two isoforms oscillated over time: when CstF77.L level was high CstF77.S level was low, and vice versa. Taken together, these data indicate that intronic pA usage is responsive to CstF-77 expression, creating a feedback autoregulatory mechanism.
Global correlation between intronic pA usage of CstF-77 gene and APA of 3′UTRs
We previously found that the expression of C/P factors negatively correlates with the 3′UTR length in development and cell differentiation [30]. We asked whether the CstF-77.S/CstF-77.L ratio is related to APA of 3′UTRs. To this end, we analyzed an exon array dataset for 11 mouse tissues and a deep sequencing dataset for 10 human tissues and 7 human cell lines. The CstF-77.S/CstF-77.L ratio was calculated by comparing the intensity of microarray probes or density of RNA-seq reads for CstF-77.S with those for CstF-77.L (Figure 4A). The global 3′UTR length changes were calculated by comparing the intensity of microarray probes or density of RNA-seq reads for the region upstream of first pA in 3′UTR (called constitutive 3′UTR or cUTR) with those for the downstream region (called alternative 3′UTR or aUTR)(Figure 4A). This value was also called Relative expression of isoforms Using Distal pAs (RUD, see Materials and Methods for detail). The median RUD of all genes reflects the relative global 3′UTR length. Interestingly, the CstF-77.S/CstF-77.L ratio generally correlated with the global 3′UTR length in both human (R2 = 0.61, Pearson Correlation) (Figure 4B) and mouse cells/tissues (R2 = 0.71, Pearson Correlation)(Figure 4C). This result indicates that the CstF-77.S/CstF-77.L ratio is associated with APA of 3′UTRs.
We next analyzed our previously published exon array data for differentiation of C2C12 myoblast cells [31], with which we reported general lengthening of 3′UTR during cell differentiation. A linear correlation (R2 = 0.61) between CstF-77.S/CstF-77.L and RUD was also detected (Figure 4D). To validate this finding, we examined expression of CstF-77.S and CstF-77.L mRNAs by RT-qPCR in proliferating C2C12 cells and cells after 1 day or 4 days of differentiation. CstF-77.S mRNAs showed increased expression by ∼20% after 1 day of differentiation but no significant change of expression after 4 days. By contrast, the expression of CstF-77.L mRNAs gradually decreased (Figure 4E). Consequently, the CstF-77.S/CstF-77.L ratio gradually increased in differentiation (Figure 4E). Consistently, the CstF-77 protein level decreased by 27% after 1 day and by 46% after 4 days (Figure 4F). Thus, the usage of In3 pA of CstF-77 gene inversely correlates with CstF-77 protein level in cell differentiation. Given CstF-77's role in C/P, this result suggests that CstF-77 protein level may be the underlying reason for the connection between the CstF-77.S/CstF-77.L ratio and global 3′UTR length.
Intronic pA usage is regulated by U1 snRNP
The increased CstF-77.S/CstF-77.L ratio in differentiation could be due to activation of C/P at In3 pA, which, however, seems in discord with our previous finding that the C/P activity in general is weakened in C2C12 differentiation [31]. Notably, intronic pA of CstF-77 without flanking 5′SS and 3′SS was less used in differentiated cells compared to proliferating cells by reporter assays (Figure S7), suggesting that the pA usage per se is decreased in differentiation. To explore this issue further, we knocked down several factors in the C/P machinery, including CstF-64 in the CstF complex (Figure 5A), CFI-25, CFI-68, and CFI-59 in the CFI complex (Figures 5B), and CPSF-160 and CPSF-73 in the CPSF complex (Figure 5C). All the knockdowns led to significant decrease of the CstF-77.S/CstF-77.L ratio, indicating that the pA usage is responsive to perturbation of the C/P activity. Furthermore, changing the pA strength does not alter the trend of CstF-77.S/CstF-77.L ratio changes in differentiation (Figure 5D).
We next reasoned that since intron size and 5′SS strength can regulate the usage of intronic pA, change of splicing activity in differentiation may lead to change of CstF-77.S/CstF-77.L. Notably, mRNAs encoding several U1 snRNP and U2 snRNP factors are downregulated in differentiation based on microarray analysis (Figure 6A), suggesting weakening of their activities. To examine the effect of splicing regulation on CstF-77.S/CstF-77.L, we knocked down U1-70K, one of the components of U1 snRNP [32], SF3B1, a key component of U2 snRNP [33], and U2AF65, a factor involved in recognition of 3′SS and recruitment of U2 snRNP [34]. Knockdown of U1-70K led to a significant increase (∼50%) of the CstF-77.S/CstF-77.L ratio (P<0.05, Figure 6B), whereas knockdown of SF3B1 led to a marginal increase of the ratio (P>0.1, Figure 6C), and knockdown of U2AF65 led to a significant decrease of the ratio (P<0.05, Figure 6D). Thus, U1 snRNP may play a role in regulation of intronic pA usage in C2C12 differentiation.
To further explore the role of U1 snRNP in intronic C/P of CstF-77, we used an oligonucleotide which mimics the consensus sequence of 5′SS [35], termed U1 domain (U1D) oligo (Figure 6E). Presumably, U1D can sequester U1 snRNP in the cell, thereby inhibiting 5′SS recognition by U1 snRNP [35]. Upon treatment of U1D, the CstF-77.S/CstF-77.L ratio increased by 2-fold (Figure 6F). An even greater increase (∼9-fold) of intronic pA usage was observed from reporter assays using pRinG-77S-1690 (Figure 6G). Taken together, these results indicate that the intronic pA CstF-77 gene is under the control of U1 snRNP.
The effect of U1 snRNP regulation on intronic C/P is consistent with the critical role of 5′SS for pA usage (see above). To directly examine whether the 5′SS strength is important for intronic pA usage, we used reporter constructs with different 5′SS strengths in proliferating and differentiating C2C12 cells (Figure 6H). Interestingly, while the construct with wild type, weak 5′SS recapitulated the intronic pA usage of endogenous CstF-77 pre-mRNAs, the mutant 5′SS with medium strength showed the opposite trend, indicating that 5′SS strength is critical for the regulation of intronic pA usage. This result is in line with the general trend that intronic pAs activated in C2C12 differentiation tend to be in introns with weak 5′SS (Figure S8).
CstF-77 plays an important role in cell proliferation and differentiation
In order to understand how critical it is to control CstF-77 expression in cell proliferation and differentiation, we knocked down CstF-77 in proliferating C2C12 cells and examined APA and gene expression genome-wide using our newly developed method, 3′ region extraction and deep sequencing (3′READS)(Figure 7A) [8]. We found 1,068 genes that had significant APA changes in 3′UTRs (P<0.05, Fisher's Exact test, and >5% change in isoform abundance)(Figure 7A). However, there was no significant bias of expression to proximal or distal pA isoforms, indicating no global 3′UTR shortening or lengthening after CstF-77 knockdown. Gene Ontology analysis indicated that genes with different functions were affected differently (Table 1). For example, genes with functions in “protein localization”, “intracellular transport”, “RNA processing” were more likely to have 3′UTRs lengthened, whereas those with functions in “cell-cell adhesion”, “mitosis”, and “Ras protein signal transduction” were more likely to have 3′UTRs shortened.
Table 1. Gene Ontology terms enriched for genes with regulated 3′UTRs after CstF-77 knockdown.
GO ID | GO Name | P-value |
Enriched for genes showing 3′UTR lengthening | ||
GO:0008104 | protein localization | 7.1E-05 |
GO:0046907 | intracellular transport | 1.1E-04 |
GO:0006396 | RNA processing | 1.4E-04 |
GO:0022613 | ribonucleoprotein complex biogenesis | 3.4E-04 |
GO:0033554 | cellular response to stress | 6.4E-04 |
GO:0045454 | cell redox homeostasis | 1.4E-03 |
GO:0006457 | protein folding | 2.3E-03 |
GO:0006091 | generation of precursor metabolites and energy | 5.0E-03 |
GO:0019725 | cellular homeostasis | 5.7E-03 |
GO:0006412 | translation | 6.1E-03 |
Enriched for genes showing 3′UTR shortening | ||
GO:0007156 | homophilic cell adhesion | 3.0E-05 |
GO:0016337 | cell-cell adhesion | 4.6E-04 |
GO:0007067 | mitosis | 1.2E-03 |
GO:0007265 | Ras protein signal transduction | 1.4E-03 |
GO:0048285 | organelle fission | 1.6E-03 |
GO:0015031 | protein transport | 2.0E-03 |
GO:0007155 | cell adhesion | 3.1E-03 |
GO:0007049 | cell cycle | 5.3E-03 |
GO terms in the Biological Process category with P<0.001 are shown. Redundant GO terms (more than 70% overlap in associated genes with another GO term having a more significant P) are not shown.
We next compared this data with our recently published data for APA regulation in C2C12 differentiation [8]. Whereas only a small set of genes were found to be commonly regulated between CstF-77 knockdown and C2C12 differentiation, the number of consistently regulated genes was significantly greater than that of oppositely regulated genes (P = 4.1×10−9, Chi-squared test), suggesting downregulation of CstF-77 is involved in regulation of a subset of APA events in C2C12 differentiation (Figure 7B).
We next examined cis elements surrounding pAs of regulated isoforms. Remarkably, U-rich elements were significantly enriched for pAs whose isoforms were downregulated after CstF-77 knockdown, particularly in the −40 nt to −1 nt region relative to the pA (set to 0) (Figure 7C). This result suggests that pAs with U-rich elements are highly dependent on CstF-77 for C/P. Since CstF-77 is in the same complex as CstF-64, we next examined CstF-64 binding near regulated pAs using the CstF-64 CLIP-seq data we recently published [8]. Consistent with the interaction between CstF-77 and CstF-64, pAs of downregulated isoforms had significantly more CstF-64 binding in nearby regions than those of upregulated ones (P<0.05, bootstrap analysis), suggesting that usage of these pAs are also dependent on CstF-64 (Figure 7D).
Our data also indicated that a large number of genes (1,776 in total) had significant changes of expression (fold change >1.5 and P<0.01, Fisher's Exact test) after CstF-77 knockdown. By GO analysis, we found, to our surprise, that genes related to cell cycle were most significantly downregulated (Table 2 and Figure 8A). This result was validated by RT-qPCR for a set of cell cycle-related genes, such as Ccnb1 (cyclin B1), Cdca3 (cell division cycle associated 3), Cdk4 (cyclin-dependent kinase 4), Mcm6 (minichromosome maintenance complex component 6), and Tipin (timeless interacting protein)(Figure 8B). This result indicates that the CstF-77 level is important for expression of cell cycle genes, and suggests that downregulation of CstF-77 may help cells halt proliferation and launch differentiation. To explore this further, we overexpressed CstF-77 in proliferating C2C12 cells, induced differentiation, and examined marker genes that are normally upregulated during differentiation. All three marker gene mRNAs, including Myh3 (heavy polypeptide 3, skeletal muscle, embryonic), MyoG (myogenin), and Tpm2 (tropomyosin 2, beta), were significantly less upregulated in cells overexpressing CstF-77 (Figure 8C), further indicating that the CstF-77 level is important for cell proliferation/differentiation.
Table 2. Gene Ontology terms enriched for upregulated and downregulated genes after CstF-77 knockdown.
GO ID | GO Name | P-value |
Enriched for downregulated genes | ||
GO:0000278 | mitotic cell cycle | 5.4E-10 |
GO:0048285 | organelle fission | 1.4E-09 |
GO:0022403 | cell cycle phase | 2.2E-09 |
GO:0007049 | cell cycle | 3.5E-09 |
GO:0006396 | RNA processing | 1.6E-05 |
GO:0006259 | DNA metabolic process | 5.0E-05 |
GO:0051276 | chromosome organization | 8.2E-05 |
GO:0016337 | cell-cell adhesion | 4.2E-04 |
Enriched for upregulated genes | ||
GO:0030163 | protein catabolic process | 9.3E-07 |
GO:0009057 | macromolecule catabolic process | 3.1E-06 |
GO:0015031 | protein transport | 1.3E-05 |
GO:0006979 | response to oxidative stress | 1.3E-04 |
GO:0016265 | death | 5.2E-04 |
GO terms in the Biological Process category with P<0.001 are shown. Redundant GO terms (more than 75% overlap in associated genes with GO terms having a more significant P) are not shown.
Discussion
In this study, we examined the evolution and regulation of intronic C/P of human and mouse CstF-77 genes. The conservation of various features involved in pA usage across vertebrates underscores its importance. Notably, the Drosophila gene encoding the homologue of CstF-77, su(f), also contains an intronic pA [19]. Unlike the intronic pA isoforms of vertebrate CstF-77 genes, which have open reading frames, the su(f) intronic pA isoform does not have an in-frame stop codon. However, both vertebrate and fly intronic pAs appear to function to attenuate expression of the gene via feedback autoregulation. Remarkably, there is no conservation in surrounding sequences or adjacent intron/exon structures between the intronic pAs in vertebrates and in fly, indicating convergent evolution of this mechanism. Intriguingly, we could not find a similar mechanism in C. elegans after exhaustive search of all available public pA data. It remains to be seen whether or not the CstF-77 homolog in C. elegans is subject to another type of autoregulation.
In addition to autoregulation, we found that the intronic pA usage is regulated upon perturbation of several other C/P factors, including those in the CstF, CPSF and CFI complexes, suggesting it is responsive to the general C/P activity in the cell. Two key features of the intronic pA of the CstF-77 gene may make it particularly suitable for this function: first, its suboptimal strength can create a wide dynamic range of usage in response to change of C/P activity; second, its placement in an intron can allow rapid regulation because of competition of its usage with splicing.
Juge et al. proposed two modes of autoregulation for fly su(f), a strong mode in non-dividing cells and a weak mode in dividing cells [22]. Here, our study indicates that splicing plays a dominant role in the usage of intronic pA of CstF-77 gene. Consistently, inhibition of the U1 snRNP activity, not the C/P activity, recapitulates the intronic pA regulation in cell differentiation. Thus, we propose that the U1 snRNP activity sets the general level of intronic pA usage under different conditions, such as in cell proliferation and differentiation, and the C/P activity plays a fine tuning role to robustly control CstF-77 expression under a given condition (Figure 9). This model would readily explain the two modes of autoregulation proposed by Juge et al., i.e., the U1 snRNP activity is high in dividing cells and weak in non-dividing cells. Moreover, control of CstF-77 level by U1 snRNP suggests that the C/P activity in the cell is modulated by the splicing activity, leading to coordination between these two pre-mRNA processing steps. This coordination may ensure that the widespread cryptic pAs in introns are not activated when U1 snRNP is downregulated under conditions like cell differentiation [9]. Conversely, this result may explain, at least partially, that mild inhibition of U1 snRNP can lead to 3′UTR lengthening [36].
Regulation of intronic pA of CstF-77 is reminiscent of a similar mechanism for the IgM gene. Both intron size and 5′SS strength were found to be important for the usage of intronic pA in the IgM gene [37], [38]. A number of factors have been implicated in the regulation, including the C/P factor CstF-64 [10] , the U1 snRNP component U1A [39], and the RNAPII transcription elongation factor ELL2 [40]. Whereas we found U1 snRNP regulation correlates with the activation of intronic pA of CstF-77 gene, future studies are needed to examine whether additional mechanisms can contribute to this regulation. Of particular importance is whether other splicing factors also play a role in the regulation of intronic pA. Notably, splicing factors in general are downregulated in C2C12 differentiation (Figure S9). Here we observed only marginal activation of In3 pA after SF3B1 knockdown and, surprisingly, inhibition of the pA after U2AF65 knockdown. It remains to be seen how factors involved in different steps of splicing regulate the usage of In3 pA and intronic C/P in general.
Perturbation of CstF-77 expression led to widespread APA and expression changes of a large number of genes. Remarkably, the genes with functions in cell cycle are most significantly affected, indicating that they are highly dependent upon CstF-77 for expression. pAs surrounded with U-rich elements appeared to be more affected by CstF-77 knockdown. Indeed, we found downregulated genes with a single pA also tend to have U-rich elements surrounding the pA (Figure S10), suggesting that inefficient 3′ end processing may lead to their downregulation of expression. Intriguingly, cell cycle genes tend to have shortened 3′UTRs after CstF-77 knockdown (Table 1). Since genes with shortened 3′UTRs tend to be downregulated (Figure S11), it is possible that distal pAs of cell cycle genes are more responsive to the CstF-77 level. Future work is needed to fully unravel the mechanism by which CstF-77 regulates cell cycle genes.
We found pAs with more CstF-64 binding are more likely to be affected by CstF-77 knockdown indicating that some of the regulation is through the CstF complex. However, CstF-64 is also known to bind GU-rich elements [41], and our cross-linking immunoprecipitation and high-throughput sequencing (CLIP-seq) data from C2C12 cells showed that the top two most significant pentamers for CstF-64 binding are UGUGU and UUUUU [8]. But GU-rich elements are only modestly enriched in the downstream region of regulated pAs after CstF-77 knockdown. Whether pAs with a different number or placement of U-rich and UG-rich elements are differentially regulated by CstF-77 and CstF-64 needs to be examined in the future. Moreover, a recent genome-wide study of CstF-64 knockdown in HeLa cells indicated that only a small set of APA events in these cells are regulated by the factor [42]. However, co-depletion of CstF-64 and its paralog τCstF-64 leads to more APA changes, largely leading to 3′UTR lengthening. That APA pattern appears different than that observed in this study with CstF-77 knockdown. Whether the difference is due to different levels of knockdown or different cell types used in the studies needs to be further explored.
Materials and Methods
Plasmids
Construction of the pRinG vector and all plasmids derived from pRinG are described in Table S1. The pRiG vector and pRiG-77.AE containing the intronic pA of CstF-77 were described previously [31]. For pCMV-CstF-77, the open reading frame (ORF) of human CstF-77 was obtained from the IMAGE clone 5223351 (Invitrogen) by PCR using primers 5′-CGATGAATTCATGTC AGGAGACGGAGCC and 5′-GGCCCTCGAGCTACCGAATCCGCTTCTG. The fragment was digested by EcoR I and Xho I, and then inserted into the pcDNA3.1/His C vector (Invitrogen) digested with the same enzymes.
Cell culture, differentiation, and transfection
HeLa cells and C2C12 cells were maintained in Dulbecco's Modified Eagles Medium (DMEM) supplemented with 10% fetal bovine serum (FBS). Differentiation of C2C12 cells was induced by switching cell media to DMEM+ 2% horse serum (Sigma) when cells were ∼100% confluent. All media were also supplemented with 100 units/ml penicillin and 100 µg/ml streptomycin. Transfection with plasmids or siRNAs was carried out with Lipofectamine™ 2000 (Invitrogen) or jetPEI(polyplus) according to manufacturer's recommendations. Transfection was carried out for 48 hr unless described otherwise. siRNA sequences are shown in Table S2. The U1D oligo (5′-gCcAgGuAaGuau) and control oligo (5′-CAGAAATACACAATA), where locked nucleic acid (LNA) residues are in uppercase, 2′-OMe RNA residues are in lowercase, DNA nucleotides are in underlined uppercase, were previously described in Goraczniak et al. [35] (called UA17-13B-U1D and UA17-13B-TD, respectively). These oligos were transfected into C2C12 cells at 15 µM using Lipofectamine 2000 when the confluency of cells was about 50%. Cells were harvested 48 hr after transfection.
FACS and immunoblot
For fluorescent activated cell sorting (FACS) analysis, cells were released from culture dishes by Trypsin-EDTA 24 h after transfection and green and red fluorescence signals were read at 530 nm and 585 nm, respectively, in the BD FACScalibur system (BD Biosciences). For immunoblot, the RIPA buffer (1% NP-40, 0.1% SDS, 50 mM Tris-HCl pH 7.4, 150 mM NaCl, 0.5% Sodium Deoxycholate, and 1 mM EDTA) was used to extract proteins from the cell. Proteins were resolved by SDS-PAGE, followed by immunoblotting using antibodies. Antibodies used in this study and their sources are shown in Table S3.
Northern blot and RT-qPCR
Total cellular RNA was extracted using Trizol (Invitrogen) according to manufacturer's protocol. RNA was run in a 1.2% denaturing agarose gel, and was transferred to nylon membrane overnight. RNA was detected by hybridization with a radioactively labeled probe for the RFP sequence. The probe was made by PCR using pDsRED-Express-c1 as template and primers 5′-CGATGCTAGCATGGCCTCCTCCGAGGAC and 5′-GGCCCTCGAGCTACAGGAACAG GTGGTG with α-32P-dCTP. For RT-qPCR, mRNA was reverse-transcribed using the oligo-dT primer (Promega), and qPCR was carried out with Syber-Green I as dye. Primers are shown in Table S4.
Analysis of DNA microarray and RNA-seq data
To calculate the global 3′UTR length (RUD) score, we used exon array data for C2C12 cell differentiation [31], exon array data for mouse tissues (http://www.affymetrix.com/support/technical/sample_data/exon_array_data.affx), and RNA-seq data for human tissues and cell lines [7]. Exon array data were first normalized by the Robust Multichip Average (RMA) method. Expressed genes were selected by the Detection Above Background (DABG) method. The RUD score was based on the ratio of average probeset intensity of aUTR to that of cUTR, as previously described [31]. For RNA-seq data, the RUD score was based on the ratio of read density of aUTR to that of cUTR, as described previously [43]. For both analyses, aUTRs and cUTRs were defined by PolyA_DB 2 [44]. The relative expression of CstF-77.S vs. CstF-77.L was calculated based on the probes or RNA-seq reads specific for each isoform. For analysis of splicing factor expression, we examined mRNAs encoding splicing factors defined by Jurica and Moore [45].
Analysis of introns
5′SS and 3′SS were analyzed as previously described [9]. Briefly, we used all GT-AT type introns supported by human RefSeq sequences to build Position Specific Scoring Matrices (PSSMs) for 5′SS and 3′SS. For 5′SS, we used −3 to +6 nt surrounding the 5′SS, with 3 nt in the exon and 6 nt in the intron; for 3′SS, we used −22 to +2 nt surrounding the 3′SS, with 22 nt in the intron and 2 nt in the exon. The maximum entropy scores were calculated with MaxEnt [26]. 5′SS sequences were also scored by their ability to anneal with U1 snRNA. We used the sequence 5′-ACUUACCUG of U1 snRNA to form duplex structures with 5′SS sequences using the RNAduplex function of ViennaRNA [46]. For intron density map, we used all the RefSeq-supported introns as the observed set, and created an expected set using randomized pairs of intron size and splice site. The introns were divided into 20 fractions based on intron size and splice site strength, respectively, and distributed in a 20×20 grid. For each cell in the grid, the ratio of the number of introns in the observed set to that in the expected set was calculated and represented by color in a heatmap.
3′READS
The 3′ region extraction and deep sequencing (3′READS) method used in this study is the same as previously described [8], except that 10 µg of total RNA was used, and poly(A)+ RNA was selected by the chimeric U5 and T45 (CU5T45) oligo conjugated on streptavidin beads and fragmented by 1 U RNase III at 37°C for 30 min. Poly(A)+ RNA fragments were subject to further processing as previously described [8]. pA identification was carried out as previously described [8]. Only poly(A) site supporting (PASS) reads, defined as having >2 non-genomic Ts at the beginning of read, were used for further analysis. The expression level of an APA isoform was calculated using the number of PASS reads assigned to the pA. To study APA in the 3′-most exon, we first selected the top two expressed isoforms and used the Fisher Exact test to examine their difference in abundance between CstF-77 knockdown and control. Significantly regulated isoforms were those with P<0.05 and change of abundance >5%. Gene expression was calculated using the total number of PASS reads assigned to a gene. Differentially regulated genes after CstF-77 knockdown were those with P<0.01 (Fisher's Exact test) and fold change >1.5 compared to control. The DAVID software was used to identify Gene Ontology terms enriched for genes with significant changes in gene expression or APA [47].
Cis-element analysis
We examined four regions around the pA, i.e., −100 to −41 nt, −40 to −1 nt, +1 nt to +40 nt and +41 nt to +100 nt. For each region, the Fisher's Exact test was used to check whether a sequence was enriched for a set of pAs vs. another set, for example, those of upregulated isoforms vs. downregulated isoforms.
CLIP-seq data analysis
CLIP-seq reads of CstF-64 [8] were aligned to the mouse genome (mm9) using Novoalign (http://www.novocraft.com/). Reads with deletions caused by skipping of reverse transcriptase at the UV cross-linked bases were used for analyses. A bootstrapping method [8] was used to compare CstF-64 binding in the −10 to +40 nt region around the pA for pAs of upregulated isoforms vs. those of downregulated isoforms after CstF-77 knockdown.
Supporting Information
Acknowledgments
We thank Yun Zhao for technical assistance and Yiming Cheng, Robert Miura, and other members of BT lab for helpful discussions.
Funding Statement
This work was supported by grants from NIH (R01 GM084089) and the Foundation of UMDNJ to B. Tian. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1. Zhao J, Hyman L, Moore C (1999) Formation of mRNA 3′ ends in eukaryotes: mechanism, regulation, and interrelationships with other steps in mRNA synthesis. Microbiol Mol Biol Rev 63: 405–445. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Colgan DF, Manley JL (1997) Mechanism and regulation of mRNA polyadenylation. Genes Dev 11: 2755–2766. [DOI] [PubMed] [Google Scholar]
- 3. Tian B, Graber JH (2011) Signals for pre-mRNA cleavage and polyadenylation. Wiley Interdiscip Rev RNA 3: 385–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Proudfoot NJ (2011) Ending the message: poly(A) signals then and now. Genes Dev 25: 1770–1782. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Venkataraman K, Brown KM, Gilmartin GM (2005) Analysis of a noncanonical poly(A) site reveals a tripartite mechanism for vertebrate poly(A) site recognition. Genes Dev 19: 1315–1327. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Tian B, Hu J, Zhang H, Lutz CS (2005) A large-scale analysis of mRNA polyadenylation of human and mouse genes. Nucleic Acids Res 33: 201–212. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Wang ET, Sandberg R, Luo S, Khrebtukova I, Zhang L, et al. (2008) Alternative isoform regulation in human tissue transcriptomes. Nature 456: 470–476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Hoque M, Ji Z, Zheng D, Luo W, Li W, et al. (2013) Analysis of alternative cleavage and polyadenylation by 3′ region extraction and deep sequencing. Nat Methods 10: 133–139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Tian B, Pan Z, Lee JY (2007) Widespread mRNA polyadenylation events in introns indicate dynamic interplay between polyadenylation and splicing. Genome Res 17: 156–165. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Takagaki Y, Seipelt RL, Peterson ML, Manley JL (1996) The polyadenylation factor CstF-64 regulates alternative processing of IgM heavy chain pre-mRNA during B cell differentiation. Cell 87: 941–952. [DOI] [PubMed] [Google Scholar]
- 11. Mandel CR, Bai Y, Tong L (2008) Protein factors in pre-mRNA 3′-end processing. Cell Mol Life Sci 65: 1099–1122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Shi Y, Di Giammartino DC, Taylor D, Sarkeshik A, Rice WJ, et al. (2009) Molecular architecture of the human pre-mRNA 3′ processing complex. Mol Cell 33: 365–376. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Hatton LS, Eloranta JJ, Figueiredo LM, Takagaki Y, Manley JL, et al. (2000) The Drosophila homologue of the 64 kDa subunit of cleavage stimulation factor interacts with the 77 kDa subunit encoded by the suppressor of forked gene. Nucleic Acids Res 28: 520–526. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Takagaki Y, Manley JL (1994) A polyadenylation factor subunit is the human homologue of the Drosophila suppressor of forked protein. Nature 372: 471–474. [DOI] [PubMed] [Google Scholar]
- 15. Bai Y, Auperin TC, Chou CY, Chang GG, Manley JL, et al. (2007) Crystal structure of murine CstF-77: dimeric association and implications for polyadenylation of mRNA precursors. Mol Cell 25: 863–875. [DOI] [PubMed] [Google Scholar]
- 16. Legrand P, Pinaud N, Minvielle-Sebastia L, Fribourg S (2007) The structure of the CstF-77 homodimer provides insights into CstF assembly. Nucleic Acids Res 35: 4515–4522. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Murthy KG, Manley JL (1995) The 160-kD subunit of human cleavage-polyadenylation specificity factor coordinates pre-mRNA 3′-end formation. Genes Dev 9: 2672–2683. [DOI] [PubMed] [Google Scholar]
- 18. McCracken S, Fong N, Yankulov K, Ballantyne S, Pan G, et al. (1997) The C-terminal domain of RNA polymerase II couples mRNA processing to transcription. Nature 385: 357–361. [DOI] [PubMed] [Google Scholar]
- 19. Mitchelson A, Simonelig M, Williams C, O'Hare K (1993) Homology with Saccharomyces cerevisiae RNA14 suggests that phenotypic suppression in Drosophila melanogaster by suppressor of forked occurs at the level of RNA stability. Genes Dev 7: 241–249. [DOI] [PubMed] [Google Scholar]
- 20. Simonelig M, Elliott K, Mitchelson A, O'Hare K (1996) Interallelic complementation at the suppressor of forked locus of Drosophila reveals complementation between suppressor of forked proteins mutated in different regions. Genetics 142: 1225–1235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Audibert A, Simonelig M (1998) Autoregulation at the level of mRNA 3′ end formation of the suppressor of forked gene of Drosophila melanogaster is conserved in Drosophila virilis. Proc Natl Acad Sci U S A 95: 14302–14307. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Juge F, Audibert A, Benoit B, Simonelig M (2000) Tissue-specific autoregulation of Drosophila suppressor of forked by alternative poly(A) site utilization leads to accumulation of the suppressor of forked protein in mitotically active cells. RNA 6: 1529–1538. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Audibert A, Simonelig M (1999) The suppressor of forked gene of Drosophila, which encodes a homologue of human CstF-77K involved in mRNA 3′-end processing, is required for progression through mitosis. Mech Dev 82: 41–50. [DOI] [PubMed] [Google Scholar]
- 24. Benoit B, Juge F, Iral F, Audibert A, Simonelig M (2002) Chimeric human CstF-77/Drosophila Suppressor of forked proteins rescue suppressor of forked mutant lethality and mRNA 3′ end processing in Drosophila . Proc Natl Acad Sci U S A 99: 10593–10598. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Pan Z, Zhang H, Hague LK, Lee JY, Lutz CS, et al. (2006) An intronic polyadenylation site in human and mouse CstF-77 genes suggests an evolutionarily conserved regulatory mechanism. Gene 366: 325–334. [DOI] [PubMed] [Google Scholar]
- 26. Yeo G, Burge CB (2004) Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals. J Comput Biol 11: 377–394. [DOI] [PubMed] [Google Scholar]
- 27. Siepel A, Bejerano G, Pedersen JS, Hinrichs AS, Hou M, et al. (2005) Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes. Genome Res 15: 1034–1050. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Robberson BL, Cote GJ, Berget SM (1990) Exon definition may facilitate splice site selection in RNAs with multiple exons. Mol Cell Biol 10: 84–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Sheets MD, Ogg SC, Wickens MP (1990) Point mutations in AAUAAA and the poly (A) addition site: effects on the accuracy and efficiency of cleavage and polyadenylation in vitro. Nucleic Acids Res 18: 5799–5805. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Ji Z, Tian B (2009) Reprogramming of 3′ untranslated regions of mRNAs by alternative polyadenylation in generation of pluripotent stem cells from different cell types. PLoS One 4: e8419. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Ji Z, Lee JY, Pan Z, Jiang B, Tian B (2009) Progressive lengthening of 3′ untranslated regions of mRNAs by alternative polyadenylation during mouse embryonic development. Proc Natl Acad Sci U S A 106: 7028–7033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Gunderson SI, Polycarpou-Schwarz M, Mattaj IW (1998) U1 snRNP inhibits pre-mRNA polyadenylation through a direct interaction between U1 70K and poly(A) polymerase. Mol Cell 1: 255–264. [DOI] [PubMed] [Google Scholar]
- 33. Das BK, Xia L, Palandjian L, Gozani O, Chyung Y, et al. (1999) Characterization of a protein complex containing spliceosomal proteins SAPs 49, 130, 145, and 155. Mol Cell Biol 19: 6796–6802. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Valcarcel J, Gaur RK, Singh R, Green MR (1996) Interaction of U2AF65 RS region with pre-mRNA branch point and promotion of base pairing with U2 snRNA [corrected]. Science 273: 1706–1709. [DOI] [PubMed] [Google Scholar]
- 35. Goraczniak R, Behlke MA, Gunderson SI (2009) Gene silencing by synthetic U1 adaptors. Nat Biotechnol 27: 257–263. [DOI] [PubMed] [Google Scholar]
- 36. Berg MG, Singh LN, Younis I, Liu Q, Pinto AM, et al. (2012) U1 snRNP determines mRNA length and regulates isoform expression. Cell 150: 53–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Peterson ML, Perry RP (1986) Regulated production of mu m and mu s mRNA requires linkage of the poly(A) addition sites and is dependent on the length of the mu s-mu m intron. Proc Natl Acad Sci U S A 83: 8883–8887. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Peterson ML, Perry RP (1989) The regulated production of mu m and mu s mRNA is dependent on the relative efficiencies of mu s poly(A) site usage and the c mu 4-to-M1 splice. Mol Cell Biol 9: 726–738. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Phillips C, Pachikara N, Gunderson SI (2004) U1A inhibits cleavage at the immunoglobulin M heavy-chain secretory poly(A) site by binding between the two downstream GU-rich regions. Mol Cell Biol 24: 6162–6171. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Martincic K, Alkan SA, Cheatle A, Borghesi L, Milcarek C (2009) Transcription elongation factor ELL2 directs immunoglobulin secretion in plasma cells by stimulating altered RNA processing. Nat Immunol 10: 1102–1109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Perez Canadillas JM, Varani G (2003) Recognition of GU-rich polyadenylation regulatory elements by human CstF-64 protein. EMBO J 22: 2821–2830. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Yao C, Biesinger J, Wan J, Weng L, Xing Y, et al. (2012) Transcriptome-wide analyses of CstF64-RNA interactions in global regulation of mRNA alternative polyadenylation. Proc Natl Acad Sci U S A 109: 18773–18778. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Ji Z, Luo W, Li W, Hoque M, Pan Z, et al. (2011) Transcriptional activity regulates alternative cleavage and polyadenylation. Mol Syst Biol 7: 534. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Lee JY, Yeh I, Park JY, Tian B (2007) PolyA_DB 2: mRNA polyadenylation sites in vertebrate genes. Nucleic Acids Res 35: D165–168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Jurica MS, Moore MJ (2003) Pre-mRNA splicing: awash in a sea of proteins. Mol Cell 12: 5–14. [DOI] [PubMed] [Google Scholar]
- 46. Hofacker IL (2003) Vienna RNA secondary structure server. Nucleic Acids Research 31: 3429–3431. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Huang da W, Sherman BT, Lempicki RA (2009) Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc 4: 44–57. [DOI] [PubMed] [Google Scholar]
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