Cellular morphology is an essential determinant of cellular function in all kingdoms of life. Murn et al. show that depletion of Unkempt in mouse embryos disrupts the shape of migrating neurons, while ectopic expression confers neuronal-like morphology to cells of different nonneuronal lineages. Unkempt is a sequence-specific RNA-binding protein, and RNA binding is required for Unkempt-induced remodeling of cellular shape and is directly coupled to a reduced production of the encoded proteins linked to protein metabolism and trafficking.
Keywords: RNA-binding proteins, cell morphology, gene expression program, neurons, translation, Unkempt
Abstract
Cellular morphology is an essential determinant of cellular function in all kingdoms of life, yet little is known about how cell shape is controlled. Here we describe a molecular program that controls the early morphology of neurons through a metazoan-specific zinc finger protein, Unkempt. Depletion of Unkempt in mouse embryos disrupts the shape of migrating neurons, while ectopic expression confers neuronal-like morphology to cells of different nonneuronal lineages. We found that Unkempt is a sequence-specific RNA-binding protein and identified its precise binding sites within coding regions of mRNAs linked to protein metabolism and trafficking. RNA binding is required for Unkempt-induced remodeling of cellular shape and is directly coupled to a reduced production of the encoded proteins. These findings link post-transcriptional regulation of gene expression with cellular shape and have general implications for the development and disease of multicellular organisms.
Cellular shape is one of the most distinctive features of somatic cells in multicellular organisms and is intimately linked with cellular function. Numerous descriptions of in vitro cell fate conversion experiments (Davis et al. 1987; Vierbuchen et al. 2010; Sato et al. 2011) as well as spontaneous morphogenesis of dissociated primary cells in culture (Dotti et al. 1988) suggest that the basic instructions for morphology of a particular cell type are intrinsically encoded; i.e., specified at the time of cell lineage commitment. However, it is largely unknown how cell shape is determined and to what extent it is programmed.
The emergence and homeostasis of complex cellular phenotypes, including cell shape, are critically dependent on specific gene regulatory programs (Niehrs and Pollet 1999). Spatiotemporal organization of gene expression, which is of particular relevance to cellular morphology, relies heavily on the control of post-transcriptional events, including mRNA export, stability, and translation, to sustain cellular homeostasis. RNA-binding proteins (RBPs) can synchronize the fates of multiple RNA molecules by binding to particular secondary structures or sequences present in some RNAs but not others (Keene 2007; Li et al. 2010; Ray et al. 2013). Moreover, genome-wide studies have found that by selective targeting, individual RBPs coordinate post-transcriptional processing of whole cohorts of functionally related RNAs. Such functionally coherent protein–RNA units, also known as “RNA operons” (Keene 2007), substantially expand the regulatory plasticity of the genomes, endowing cells with tissue-specific functions and allowing for swift cellular responses to the changing microenvironment.
A group of CCCH-type zinc finger proteins has been associated with different aspects of cellular asymmetry, and several family members have shown the capacity to rapidly alter gene expression programs. Contrary to the general notion that zinc finger domains bind DNA, the CCCH motif is thought to specialize in the recognition of RNA (Hall 2005; Lunde et al. 2007; Liang et al. 2008). Accordingly, the majority of the studied CCCH family members regulate different post-transcriptional processes across species, and several have been associated with human disease, including myotonic dystrophy (Miller et al. 2000; Wang et al. 2012), autoimmune disorders (Vinuesa et al. 2005; Uehata et al. 2013), and cancer (Rounbehler et al. 2012). However, despite their coordinated control of physiologically related genes and their relevance to human disease, the roles of most of the CCCH zinc finger proteins are still poorly understood.
Unkempt is a conserved family member that harbors a set of six tandem CCCH motifs, the largest such array in the human genome (Fig. 1A; Liang et al. 2008). Initially described in 1992 as an embryonically expressed gene in fruit flies, unkempt was shown to be essential for early development; its homozygous deletion led to larval lethality, while heterozygous flies carrying a hypomorphic allele displayed an “unkempt” phenotype (Mohler et al. 1992). Another recent report identified Unkempt as a neurogenic component of the mTOR pathway, suggesting that it may act as a negative regulator of photoreceptor differentiation in fruit flies (Avet-Rochex et al. 2014). However, the exact function of Unkempt has remained obscure. We hypothesized that Unkempt might regulate a gene expression program with a critical role for a distinct aspect of cellular physiology or development of specific cell lineages.
Results
Unkempt is conserved across metazoans and is enriched in embryonic brains
Taking evolutionary conservation as a measure of functional significance, we looked for bona fide orthologs of human Unkempt protein and found them across the animal kingdom but not in plants or fungi (Fig. 1B; Supplemental Fig. S1A). Multiple sequence alignment analysis revealed a particularly deep evolutionary conservation of all six tandemly arrayed CCCH zinc fingers (Supplemental Fig. S1B). A query of the published expression profiles of a wide range of mouse tissues and cell lines found most abundant transcripts of Unkempt in mouse neuroblastoma cells, consistent with its mRNA locating to the CNS of a fly larva (Supplemental Fig. S1C; Mohler et al. 1992). This observation was confirmed in our survey of continuous cell lines and whole mouse embryos that revealed the highest expression of Unkempt protein in a human cell line of neuronal origin (SH-SY5Y) and CNS, respectively (Fig. 1C–E; Supplemental Fig. S1D). Unkempt appeared particularly abundant in mature neurons, where it partitioned into mainly cytoplasmic puncta, similar to the pattern seen in SH-SY5Y cells (Fig. 1F–H; Supplemental Fig. S1E,F). Whole mouse brains at different stages of development showed induction of Unkempt at embryonic day 12 (E12) and a decline postnatally (Supplemental Fig. S1G). The rough temporal overlap with the peak of neurogenesis and structuring of the brain suggested a broad regulatory role of Unkempt during the formation of the CNS.
Control of early neuronal morphology and reshaping of nonneuronal cells by Unkempt
To examine the function of Unkempt in vivo, we carried out in utero electroporation of plasmids expressing shRNA and a fluorescent reporter to acutely silence Unkempt in the developing CNS of mouse embryos. Immunostaining of electroporated cortexes revealed a significant impact on neuronal migration, and this effect persisted postnatally (Fig. 2A,B; Supplemental Fig. S2A–C). The observed defect in neuronal migration could be rescued by coexpression of RNAi-resistant wild-type Unkempt but not mutant Unkempt proteins lacking portions of the CCCH zinc finger domain (Fig. 2A,B; see below). Upon a closer inspection of cellular morphology as a key parameter in neuronal migration, we noticed that the majority of the poorly migrating, Unkempt-deficient neurons had abnormally round cell bodies and extended short and numerous neurites (Fig. 2C,D; Supplemental Fig. S2D). This was in contrast to the control as well as knockdown neurons rescued with RNAi-resistant wild-type Unkempt, both of which displayed a typical bipolar shape that normally allows the migrating neurons to reach their final positions in the brain (Fig. 2C,D; Noctor et al. 2004). These data suggest that Unkempt is mandatory for the early morphology of neurons during embryonic development of mice.
As the shape of neurons is influenced by a variety of intracellular and extracellular cues, we next asked whether Unkempt regulates neuronal morphology in a cell-autonomous manner. To that end, we ablated the expression of Unkempt in explanted cortical neurons and followed their morphogenesis in vitro. Similar to the phenotype observed in utero, knockdown of Unkempt in isolated neurons led to a reduction in neurite length and a dose-dependent increase in the number of primary neurites compared with control (Fig. 2E–G). Moreover, silencing of Unkempt in human SH-SY5Y cells converted the early neuronal-like cellular shape into a rounder morphology with shorter but more numerous processes, akin to the change seen in vivo (Fig. 2H). Together, these results indicate a cell-autonomous role of Unkempt in the establishment and maintenance of the early morphology of cortical neurons.
The broad expression pattern suggested that Unkempt might be required for shaping other types of neurons in the CNS as well. We thus wished to explore the possibility that the morphogenetic effect of Unkempt might be cell type-independent and limited solely by its expression. We selected a set of continuous cell lines of diverse but nonneuronal origin, including HeLa, U2OS, HepG2, and immortalized mouse embryonic fibroblasts (iMEFs), and engineered them to inducibly express a reporter-traceable exogenous Unkempt upon doxycycline (Dox) treatment (Supplemental Fig. S2E). Remarkably, as early as 12 h after the addition of Dox, the inducible cells began to show morphological changes, and some adopted a spindle-like shape (Supplemental Fig. S2F). This phenotype became progressively more evident upon longer periods of induction, with the cells displaying an overt bipolar morphology (Fig. 2I–K; Supplemental Fig. S2F–M). None of the established polarity components, including PAR complex proteins, CDC42, Smurf2, and others that we tested in this system, was able to recapitulate the Unkempt-induced phenotype, signifying the unique role of Unkempt in cell morphogenesis (Supplemental Fig. S2N,O). We observed no induction of neuronal markers, including NeuN, Tuj-1, Pax6, vimentin, or nestin, even after extended periods of treatment with Dox, arguing against transdifferentiation of cells toward neuronal fate (data not shown). The fact that ectopic Unkempt induces a similar phenotype in cells of unrelated origin suggests that Unkempt engages components of a specific morphology program that are not endemic to neurons but are expressed ubiquitously.
Unkempt-driven cell morphogenesis requires mRNA binding
Given the highest degree of sequence conservation within the CCCH zinc finger domain of Unkempt (Supplemental Fig. S1B), we hypothesized that this structural element might present a critical determinant of Unkempt-driven shaping of cells. We performed a structure–function analysis in which we deleted different segments of the inducible Unkempt protein and investigated the impact of the created mutants on cellular shape (Fig. 3A; Supplemental Fig. S2K). Unkempt lacking any portion of the zinc finger domain failed to induce a bipolar phenotype, whereas mutants lacking the C-terminal portions induced the bipolar morphology in a manner similar to full-length Unkempt (Fig. 3B; Supplemental Fig. S3A). These data highlight an essential role for the CCCH zinc fingers, a putative RNA-binding domain, in the Unkempt-driven morphological transformation of cells.
To investigate the RNA-binding capacity of Unkempt, we made use of iCLIP (individual nucleotide resolution UV cross-linking and immunoprecipitation), a stringent method that allows for genome-wide detection as well as precise mapping of protein–RNA interactions in living cells (Fig. 3C; Konig et al. 2010). Affinity purification of endogenous Unkempt from UV-irradiated SH-SY5Y cells followed by SDS-PAGE separation revealed the presence of a single complex that corresponded in size to Unkempt bound to labeled RNA (Fig. 3D). The signal produced by this complex was dependent on the dose of the added RNase I, diminished upon knockdown of Unkempt, and undetectable when either UV irradiation or Unkempt-specific antibodies were omitted. A similar signal was obtained with Unkempt protein overexpressed in HeLa cells or endogenous Unkempt in mouse embryonic brains (see below), demonstrating the occurrence of Unkempt–RNA interactions in vivo. Importantly, in contrast to the wild-type Unkempt, the inactive Unkempt mutants lacking either the entire zinc finger domain or a part thereof showed no appreciable affinity for RNA (Supplemental Fig. S3B). Moreover, unlike the wild-type Unkempt, RNA-binding-deficient mutant proteins were unable to rescue the aberrant neuronal migration or the morphological abnormalities of Unkempt-deficient neurons (Fig. 2A–D; Supplemental Fig. S2A–D). Taken together, these results indicate a requirement for RNA binding by Unkempt in the establishment of bipolar cell morphology in vitro and in vivo.
To identify the RNA species targeted by Unkempt, we carried out RT–PCR amplification of the UV cross-linked RNA followed by high-throughput sequencing of the prepared cDNA libraries (Supplemental Fig. S3C). We performed iCLIP experiments in three to five replicates in each of the three biological contexts in which we observed Unkempt-dependent cell morphology; namely, in SH-SY5Y cells, whole brains of E15 mouse embryos, and HeLa cells ectopically expressing Unkempt (Supplemental Table S1). Genomic annotation of cDNA sequences found up to 90% of all Unkempt-binding events mapping to mRNAs, with more than half of all binding sites mapping to coding sequences (CDSs) (Fig. 4A,B.) Importantly, we observed little correlation between the number of iCLIP tags per transcript and either transcript length or abundance, indicating a highly selective manner in which Unkempt binds its RNA targets (Supplemental Fig. S4A,B).
To determine the identities of mRNAs bound by Unkempt, we only considered iCLIP tags that mapped to regions within mature transcripts and could be unambiguously assigned to a specific gene. By taking into account a particular binding pattern of Unkempt (see below), reproducibility of binding, and the combined number of unique iCLIP tags, we identified 1186, 1020, and 649 Unkempt mRNA targets that repeatedly scored in SH-SY5Y cells, HeLa cells, and embryonic brains, respectively (Supplemental Table S2A–C). Comparison of the three data sets defined a core subset of 263 genes that were bound by Unkempt in all three sample types displaying Unkempt-dependent cellular morphology (Supplemental Fig. S4C; Supplemental Table S2D). While this list contains bona fide mRNA targets of Unkempt, it is likely incomplete due to the conservative selection criteria restricting identification of low-abundance targets.
Functional annotation of Unkempt mRNA targets strongly pointed to their involvement in general processes related to protein metabolism and trafficking (Fig. 4C; Supplemental Table S3). This was in contrast to several previously studied RBPs—including NOVA proteins, fragile X mental retardation protein (FMRP), and neuronal Elav-like proteins—that primarily regulate neural-specific, largely synapse-related, transcripts in the brain (Ule et al. 2005; Darnell et al. 2011; Ince-Dunn et al. 2012; Wagnon et al. 2012). A separate analysis of Unkempt targets interrogating canonical pathways revealed a strong enrichment of molecules implicated in translation initiation and p70S6K signaling, the protein ubiquitination pathway, and signaling by the Rho and Ran families of GTPases (Supplemental Fig. S4D; Supplemental Table S4). Together, these analyses indicate that much of the Unkempt-bound transcriptome is represented by mRNAs functionally linked to protein turnover in addition to transcripts encoding proteins with direct roles in regulating cellular shape.
To probe the functional dependence of Unkempt-induced cellular morphology, we carried out a focused loss-of-function screen in inducible HeLa cells by silencing the expression of 34 of the strongest Unkempt targets and, as a control, an equal number of nontargeted molecules with known roles in morphology-related processes (Supplemental Fig. S5A,B; Supplemental Table S5). Although depletion of no single molecule, except Unkempt itself, completely suppressed the reshaping of cells upon induction of Unkempt, several of the tested components exhibited milder phenotypic effects. Notably, only a small proportion of the nontargeted molecules (11 of 34; 32%) affected the Unkempt-induced morphology despite their known roles in cell shape control. In contrast, knockdown of close to half (16 of 34; 47%) of the strongly bound target genes interfered with cell morphogenesis, many of them (e.g., S100A11, PSMD12, CCT5, and HSPA8) without a prior record in cell shape regulation (Supplemental Fig. S5B). Because of the particular regulatory function of Unkempt and its mode of RNA binding (see below), we further examined the effects of several of the identified molecules by perturbing their levels through overexpression of the corresponding cDNAs lacking Unkempt-binding sites (Supplemental Fig. S5C,D; see below). Notably, only those target molecules that scored in the loss-of-function screen moderately suppressed the reshaping of cells upon overexpression, suggesting that expression levels of these Unkempt target genes play a critical role in Unkempt-induced cell morphogenesis (Supplemental Fig. S5E). These results point to the complexity of the process and suggest that Unkempt acts as a hub to coordinate not one but rather a multitude of molecular pathways to bring about a morphological transformation of cells.
A unique mode of RNA binding and the Unkempt recognition element
Global analysis of all binding sites showed their ubiquitous distribution within the CDS as the most densely populated mRNA segment (Fig. 4B). However, the examination of occupancy of Unkempt on individual transcript targets revealed unique, narrowly defined sites of contact, commonly with just one dominant binding site on the message (Fig. 4D; Supplemental Fig. S6A). This pattern differs markedly from those reported for other CDS-binding RBPs (including FMRP and LIN28) that exhibit a broad distribution of binding sites along the coding regions of mRNAs (Darnell et al. 2011; Cho et al. 2012). The precise positions of Unkempt target sites were well conserved between SH-SY5Y cells and the inducible HeLa cells, indicating the maintained specificity for RNA binding regardless of whether Unkempt was expressed endogenously or forcefully introduced into cells (Fig. 4D; Supplemental Fig. S6A).
To examine the RNA sequence specificity of Unkempt, we searched for enrichment of all possible pentamers in the vicinity of the cross-link sites (Fig. 5A,B). With some variation between different sample types, two motifs emerged from all iCLIP data sets: a U-rich motif and a U/A/G-containing motif (Fig. 5B). To resolve this dichotomy, we aligned sequences spanning the cross-link sites of several strongly bound transcripts and found a U-rich region almost invariably located precisely at the cross-link sites (Fig. 5A,C). A further manual inspection identified a common UAG trimer at a distance of just a few nucleotides 5′ to the cross-link site (Fig. 5C). A global analysis of all Unkempt target transcripts confirmed a marked enrichment of the UAG motif consistently occurring just upstream of the cross-link sites in all three sample types (Fig. 5D). This fixed linear arrangement of the UAG triplet and the U-rich stretch suggested that both motifs might contribute to target recognition by Unkempt.
To evaluate the functional relevance of these results, we first performed electrophoretic mobility shift assay (EMSA) using short synthetic RNAs as substrates for a full-length, recombinant mouse Unkempt protein (Supplemental Fig. S6B). Wild-type sequences encompassing binding sites of two Unkempt target mRNAs—human HSPA8 and mouse Ptn—bound to Unkempt with a dissociation constant in the nanomolar range (Fig. 5E). Markedly, mutating the UAG trimer essentially abolished any detectable affinity of RNA for Unkempt (Fig. 5E). Randomization of the nucleotides outside of either deduced motif did not affect the binding, while alterations of the UAG trimer in the context of a randomer, including single nucleotide substitutions, substantially reduced the affinity of Unkempt for RNA (Fig. 5E; Supplemental Fig. S6C). The U-rich region displayed a smaller but noticeable effect on binding; replacement of U’s with A’s preserved the affinity, while substitutions with C’s or G’s resulted in decreased binding. Together, these data identify a consensus Unkempt recognition element consisting of a mandatory UAG trimer upstream of a U/A-rich motif. Globally, we found this element present within binding sites of 56%–72% of mRNAs targets, indicating its dominant role as a specificity determinant for binding by Unkempt (Supplemental Fig. S6D; Supplemental Table S2). The cross-link sites of Unkempt thus appear shifted to only one of the two binding motifs within the Unkempt-binding element, likely due to a slight uridine bias of the UV light (Sugimoto et al. 2012).
We further examined the RNA-binding affinity of Unkempt by using isothermal titration calorimetry (ITC) to monitor the binding of the zinc finger domain encompassing all six CCCH zinc fingers (ZF1–6) or, separately, either of the two sets of three highly conserved zinc fingers (ZF1–3 and ZF4–6) to the HSPA8-binding site (Fig. 5F). While each set of three zinc fingers bound to the 18-mer RNA with a moderate affinity (KdZF1–3 = 5.0 μM, and KdZF4–6 = 1.6 μM), the entire CCCH domain bound to the same oligonucleotide with a significantly lower dissociation constant (KdZF1–6 = 0.2 μM), suggesting a cooperative binding of RNA by the zinc fingers of Unkempt.
Unkempt reduces translational efficiency of target mRNAs
To understand the functional significance of mRNA binding by Unkempt, we first considered the possibility that Unkempt may regulate the stability of its target transcripts, analogous to some other CCCH family members (Carballo et al. 1998; Matsushita et al. 2009; Leppek et al. 2013). However, differential expression analysis upon depletion of Unkempt in SH-SY5Y cells showed little correlation with the number of iCLIP tags per transcript and suggested that, overall, the RNA binding did not have an impact on the steady-state levels of the targeted messages (Supplemental Fig. S7A,B).
The binding preference for coding regions led us to speculate that Unkempt may regulate translation of its bound messages, analogous to some other CDS-binding RBPs (Fig. 4A,B; Abdelmohsen et al. 2011; Darnell et al. 2011; Cho et al. 2012; Brummer et al. 2013). To determine whether Unkempt associates with polyribosomes, we fractionated the lysates of SH-SY5Y cells and mouse embryonic brains on linear sucrose density gradients and examined the sedimentation pattern of Unkempt (Fig. 6A; Supplemental Fig. 8A). A significant proportion of Unkempt cosedimented with fractions containing heavy polyribosomes and showed a distribution akin to FMRP, a known polyribosome-associated protein (Stefani et al. 2004). Treatment of lysates with EDTA to dissociate the large from the small ribosomal subunits disrupted the polysomes and shifted Unkempt to lighter fractions. Binding of Unkempt to polyribosomes was also RNA-dependent, since digestion of the pooled heavy sucrose fractions with RNase I or micrococcal nuclease (MNase) quantitatively released Unkempt from ribosomes into the soluble fraction, similar to poly(A)-binding protein (PABP), while a component of the 40S ribosomal subunit (RPS3) was resistant to RNA cleavage (Fig. 6B). Taken together, these results suggest that the association of Unkempt with polyribosomes is dependent on Unkempt binding to both the ribosomes and the target mRNA.
In order to determine whether Unkempt directly impacts protein synthesis, we carried out ribosome profiling (Ingolia et al. 2009) to obtain a genome-wide view of ribosome occupancy on Unkempt target messages (Supplemental Fig. S8B). Comparative profiling of ribosome-protected fragments (RPFs) from HeLa cells with or without ectopic expression of Unkempt revealed several traits typical of translation, including 3-nucleotide (nt) periodicity, pausing of ribosomes in the proximity of start and stop codons, and retention of ribosomes in the 5′ untranslated region (UTR) segment (Supplemental Fig. S8C).
Changes in the rate of translation have been shown to correlate with changes in ribosome occupancy of mRNAs (Ingolia et al. 2009). Our global analysis of ribosome profiling data indicated a greater number of genes with a significantly reduced RPF count compared with genes with an increased RPF count upon induction of Unkempt in HeLa cells (Fig. 6C). Markedly, the bias became substantially more apparent when we considered the RNA-binding information; Unkempt was found to largely target genes with a reduced RPF count, and this trend was most prominent for the subset of target genes harboring the UAG motif within Unkempt-binding sites (Fig. 6D). These observations hinted at a repressive effect of Unkempt on translation of its bound transcripts.
To examine the global impact of Unkempt–RNA interactions on ribosome occupancy of the targeted transcripts, we binned the transcripts according to their binding to Unkempt, number of binding sites, and presence or absence of the UAG motif. Markedly, Unkempt target genes exhibited a significant drop in ribosome occupancy compared with nontargets, an effect that further increased in the presence of multiple binding sites (Fig. 6E–G). These data demonstrate that Unkempt reduces translational efficiency of its target mRNAs by lowering the ribosome occupancy without concurrent changes in transcript abundance. It should be noted that since only a fraction of all cells analyzed by ribosome profiling successfully induce Unkempt upon treatment with Dox (31%) (Supplemental Fig. S9A), the observed impact on translational efficiency is likely an underestimate of the repressive activity of Unkempt.
To validate the inhibitory effect of Unkempt on translation in neuronal cells, we carried out immunoblotting for high-confidence target genes that showed no significant changes at the transcript level upon knockdown in SH-SY5Y cells. Proteins CCT5, HNRNPK, and DDX5, all of which are encoded by mRNAs that rank among the top 10% of all Unkempt targets (Supplemental Table S2A), were expressed at notably higher levels in Unkempt-deficient compared with wild-type SH-SY5Y cells (Supplemental Fig. S9B). In contrast, nontarget controls—GAPDH and histone H3—were expressed at comparable levels in both conditions.
The RNA recognition element is required for translational control by Unkempt
To determine whether the translational repression of Unkempt target genes in vivo requires a direct interaction between Unkempt and the identified RNA recognition element, we used a modified dual-luciferase reporter assay. We took a well-defined RNA-binding site of a strong Unkempt target gene, S100A11, and inserted it proximal to the C terminus of the firefly luciferase gene so as to mimic the respective position in the endogenous gene while preserving the reading frame (Fig. 6H). We also prepared a mutant construct in which we converted the critical UAG motif into UCG, which retained the encoded amino acid (leucine) but abolished the binding by Unkempt, as informed by the EMSA assay (Fig. 5E). Upon transfection of either of these two constructs along with the Renilla luciferase vector into either control or Unkempt-depleted SH-SY5Y cells, we detected comparable levels of each modified luciferase mRNA by RT-qPCR analysis (Fig. 6I). However, measurements of luminescence in the control cells revealed about a threefold lower abundance of the modified luciferase produced from the construct containing the native binding site sequence (NAT) compared with the construct with the point mutation (MUT) (Fig. 6J). In contrast, Unkempt-depleted cells showed a much smaller, albeit significant, difference of ∼25% in firefly luciferase activity. We repeated the experiment with a binding site of a different top-scoring mRNA target of Unkempt, Dpy30, and observed a similar if not more profound repressive effect of Unkempt–mRNA interaction on translation (about fivefold) that was essentially eliminated upon depletion of Unkempt (Fig. 6J; Supplemental Fig. S9C). Taken together, these data indicate that the translational control by Unkempt critically depends on recognition of its binding element within target mRNAs.
Similar to Unkempt, a few other RBPs have been proposed to largely act by regulating translation of target transcripts, although the mechanisms of their translational control are not well understood (Polesskaya et al. 2007; Abdelmohsen et al. 2011; Darnell et al. 2011; Peng et al. 2011; Cho et al. 2012; Kwan et al. 2012; Wilbert et al. 2012; Brummer et al. 2013). FMRP, which, like Unkempt, primarily targets coding regions of mRNAs, was shown to repress protein synthesis by stalling the translocating ribosomes (Darnell et al. 2011). However, a runoff experiment with puromycin revealed that Unkempt, unlike FMRP, shifted to lighter fractions of a sucrose gradient, suggesting its association with actively translocating but not stalled ribosomes (Supplemental Fig. S9D). Moreover, a global correlation of RNA-binding positions of Unkempt with ribosome profiling data unveiled enriched binding of Unkempt to sites on mRNAs just upstream of endogenously paused ribosomes, inconsistent with the ribosome stalling model in which an RBP would be expected to block the translocation of ribosomes and locate downstream from their clusters (Supplemental Fig. S9E). We hypothesize that translational repression by Unkempt entails a different process, such as interference with translation initiation, which is a generally rate-limiting and commonly regulated step (Supplemental Fig. S9F; Besse and Ephrussi 2008).
Discussion
Coregulation of physiologically related genes by RBPs has previously been linked with different aspects of cellular morphogenesis. For instance, in mammalian brains, a multitude of RBPs implicated in neurological disorders, including FUS, FMRP, NOVA, SAM68, and Staufen proteins, regulate mRNAs with synaptic functions and affect the morphology of neuronal dendritic spines (Fujii et al. 2005; Ule et al. 2005; Goetze et al. 2006; Dictenberg et al. 2008; Vessey et al. 2008; Ruggiu et al. 2009; Darnell et al. 2011; Iijima et al. 2011; Wagnon et al. 2012; Klein et al. 2013). In contrast to these RBPs, our data suggest that Unkempt affects neuronal morphology by regulating a molecular program that is intrinsic to cells of diverse lineages. Such target selectivity may explain at least in part the capacity of ectopic Unkempt to establish a neuronal-like morphology in nonneuronal cells, further suggesting that tissues other than brain could use Unkempt for shaping of their cells. Consistent with this possibility, the initial report on Unkempt noted its widespread expression during the earliest stages of fruit fly development (Mohler et al. 1992), and expression analysis in mice indicates the presence of moderate levels of Unkempt in numerous tissues (Supplemental Fig. S1C). Future studies are warranted to investigate the effects of Unkempt on cell morphogenesis in different tissues. Of note, since acute gene silencing using shRNA delivery by in utero electroporation can lead to off-target effects and associated artifacts (Baek et al. 2014), in vivo analyses with additional, less error-prone approaches will be essential.
The mode of Unkempt binding to target mRNAs is unexpected and differs from that of most other RBPs studied to date. Indeed, the extent of sequence specificity of several other RBPs seems comparable with that of Unkempt, yet Unkempt exhibits a higher definition of binding. Thus, there likely exist additional determinants to guide Unkempt to its unique binding sites on cognate transcripts. This assumption is supported by the observation that the consensus Unkempt recognition element UAG_gap_WWW relatively poorly predicts the actual binding sites. By varying the length of the spacer (gap) between both motifs and the definition of the U/A-rich motif, we found that the sequences matching UAGNNUUU consensus predicted the actual binding sites with the greatest specificity; still, out of all sites within the CDS matching this sequence, only 23% were bound by Unkempt, representing just 11% of all Unkempt-binding sites in the CDS. We speculate that one auxiliary landmark could be provided by the proximity or cobinding of ribosomes, which could also reduce the need for sequence scanning by Unkempt along the targeted mRNA. However, the exact reason and the requirement, if any, for the commonly singular contact sites of Unkempt on mRNAs remain to be investigated.
The association of Unkempt with large polyribosomes along with its impact on ribosome occupancy of target mRNAs posit translation as a key post-transcriptional process regulated by Unkempt. The fact that Unkempt controls translation of proteins that themselves regulate translation as well as the cytoskeleton and trafficking suggests a highly hierarchical structure of the RNA operon in which Unkempt plays the role of the “regulator of the regulators.” This idea is further supported by the finding of several RBPs (each regulating its own molecular program) among Unkempt targets, including PARK7, RBFOX2, Staufen proteins, ELAVL4, and several heterogeneous nuclear ribonucleoproteins (Supplemental Table S2). One implication of such hierarchical activity is that Unkempt does not need to act at the actual sites of structural rearrangements during morphogenesis but can instate through translational control a global molecular program that in turn remodels cellular morphology. It should be noted that Unkempt might regulate cell morphogenesis by additional means that are unrelated to its RNA binding in the cytoplasm, including, for example, a putative nuclear activity and interactions with other proteins.
Unkempt’s sequence specificity, mode of mRNA binding, and potent impact on protein translation together form an RNA operon that can be extremely sensitive to mutations within the binding sites of Unkempt. As seen with point mutations of the hybrid luciferase transcripts, a single nucleotide exchange can have a profound effect on protein levels without affecting the transcript abundance or the encoded amino acid sequence. Broadly speaking, this suggests that synonymous genetic mutations, also known as “silent” mutations, could have a substantial impact on gene expression through the action of RBPs with narrowly defined position-dependent regulatory capacities comparable with that of Unkempt. With hundreds of unstudied RBPs encoded by the human genome, such sensitivity to point mutations could provide a novel explanation for the frequent but often neglected association of synonymous mutations with human disease. Given the severity of the phenotypes observed upon depletion of Unkempt in flies and mice, one could envision that such mutations or compromised activity of Unkempt protein itself would manifest in embryonic lethality or give rise to debilitating neurological disorders in humans.
Materials and methods
iCLIP experiments
All iCLIP experiments on SH-SY5Y cells, HeLa cells, and mouse embryonic brains were carried out in replicates using polyclonal rabbit anti-UNK antibody from Sigma (HPA023636) by adhering to a published protocol (Konig et al. 2011). See also the Supplemental Material.
RNA sequencing (RNA-seq)
RNA-seq libraries were prepared from total RNA extracted from SH-SY5Y cells transfected with nontargeting or UNK targeting siRNA as described in the Supplemental Material. Total RNA was polyA-selected, fragmented, reverse-transcribed, and sequenced according to the TruSeq protocol (Illumina).
Ribosome footprinting
HeLa cells inducibly expressing GFP and Unkempt or GFP alone were lysed, and the lysates were treated with RNase I and spun to pellet the ribosomes. Ribosome-protected RNA was isolated, and deep sequencing libraries were generated and sequenced as described in the Supplemental Material.
Polysome profiling
Whole mouse embryonic brains or SH-SY5Y cells were treated with cycloheximide, lysed, layered on top of a sucrose gradient, and centrifuged. The gradient was fractionated concomitant with recording of the absorbance, and proteins from each fraction were precipitated and analyzed by immunoblotting.
Purification of recombinant Unkempt and EMSAs
Full-length mouse Unkempt was purified from Dox-inducible HeLa S3 cells by immunoaffinity purification. Synthetic oligoribonucleotides were radioactively labeled and incubated with the recombinant Unkempt, and RNA binding was assessed by native gel electrophoresis.
Functional classification of Unkempt target genes
The enrichment of gene ontology categories in each set of Unkempt targets was analyzed using the online tool DAVID (http://david.abcc.ncifcrf.gov). Pathway analysis was performed using the Web-based Ingenuity Pathway Analysis program (Ingenuity Systems, http://www.ingenuity.com).
Analysis of high-throughput sequencing data
Processing and genomic mapping of all high-throughput sequencing reads, including the analyses of differential transcript abundance (RNA-seq data), identification and characterization of Unkempt-binding sites (iCLIP data), and analyses of differential ribosome occupancy (ribosome profiling data), are described in detail in the Supplemental Material.
Accession numbers
The ArrayExpress accession numbers for the iCLIP, RNA-seq, and ribosome profiling data are E-MTAB-2279, E-MTAB-2277, and E-MTAB-2278, respectively.
Supplementary Material
Acknowledgments
We thank Yoichiro Sugimoto, Andrea D’Ambrogio, Tom Chittenden, and Angeles Fernandez-Gonzales for advice and assistance with the experiments; Timothy Mitchison, Julian König, Linda Van Aelst, Marc Kirschner, Nicholas Ingolia, David Pellman, David van Vactor, John Flanagan, and members of the Shi laboratory for discussion and comments on the manuscript; Črt Gorup for his work on the iCount pipeline; and Francois Guillemot for the pCAGGS-IRES-RFP vector. This study was supported by the Nancy Lurie Marks Post-doctoral Fellowship (J.M.), an EMBL Interdisciplinary Postdocs (EIPOD) fellowship (K.Z.), Stuart H.Q. and Victoria Quan Fellowship (Y.J.Y.), National Institute of General Medical Sciences grant T32GM007753 (Y.J.Y.), National Institute of Neurological Disorders and Stroke grants R01 NS032457 and R01 NS35129 (C.A.W.), the Manton Center for Orphan Disease Research (C.A.W.), and National Institutes of Health grants GM058012, CA118487, and MH096066 (Y.S.). C.A.W. is an Investigator of the Howard Hughes Medical Institute. Y.S. is an American Cancer Society Research Professor. Y.S. is also a cofounder of Constellation Pharmaceuticals, Inc., and a member of its scientific advisory board.
Footnotes
Supplemental material is available for this article.
Article is online at http://www.genesdev.org/cgi/doi/10.1101/gad.258483.115.
References
- Abdelmohsen K, Tominaga K, Lee EK, Srikantan S, Kang MJ, Kim MM, Selimyan R, Martindale JL, Yang X, Carrier F, et al. . 2011. Enhanced translation by Nucleolin via G-rich elements in coding and non-coding regions of target mRNAs. Nucleic Acids Res 39: 8513–8530. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Avet-Rochex A, Carvajal N, Christoforou CP, Yeung K, Maierbrugger KT, Hobbs C, Lalli G, Cagin U, Plachot C, McNeill H, et al. . 2014. Unkempt is negatively regulated by mTOR and uncouples neuronal differentiation from growth control. PLoS Genet 10: e1004624. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Baek ST, Kerjan G, Bielas SL, Lee JE, Fenstermaker AG, Novarino G, Gleeson JG. 2014. Off-target effect of doublecortin family shRNA on neuronal migration associated with endogenous microRNA dysregulation. Neuron 82: 1255–1262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Besse F, Ephrussi A. 2008. Translational control of localized mRNAs: restricting protein synthesis in space and time. Nat Rev Mol Cell Biol 9: 971–980. [DOI] [PubMed] [Google Scholar]
- Brummer A, Kishore S, Subasic D, Hengartner M, Zavolan M. 2013. Modeling the binding specificity of the RNA-binding protein GLD-1 suggests a function of coding region-located sites in translational repression. RNA 19: 1317–1326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Carballo E, Lai WS, Blackshear PJ. 1998. Feedback inhibition of macrophage tumor necrosis factor-α production by tristetraprolin. Science 281: 1001–1005. [DOI] [PubMed] [Google Scholar]
- Cho J, Chang H, Kwon SC, Kim B, Kim Y, Choe J, Ha M, Kim YK, Kim VN. 2012. LIN28A is a suppressor of ER-associated translation in embryonic stem cells. Cell 151: 765–777. [DOI] [PubMed] [Google Scholar]
- Darnell JC, Van Driesche SJ, Zhang C, Hung KY, Mele A, Fraser CE, Stone EF, Chen C, Fak JJ, Chi SW, et al. . 2011. FMRP stalls ribosomal translocation on mRNAs linked to synaptic function and autism. Cell 146: 247–261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Davis RL, Weintraub H, Lassar AB. 1987. Expression of a single transfected cDNA converts fibroblasts to myoblasts. Cell 51: 987–1000. [DOI] [PubMed] [Google Scholar]
- Dictenberg JB, Swanger SA, Antar LN, Singer RH, Bassell GJ. 2008. A direct role for FMRP in activity-dependent dendritic mRNA transport links filopodial-spine morphogenesis to fragile X syndrome. Dev Cell 14: 926–939. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dotti CG, Sullivan CA, Banker GA. 1988. The establishment of polarity by hippocampal neurons in culture. J Neurosci 8: 1454–1468. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fujii R, Okabe S, Urushido T, Inoue K, Yoshimura A, Tachibana T, Nishikawa T, Hicks GG, Takumi T. 2005. The RNA binding protein TLS is translocated to dendritic spines by mGluR5 activation and regulates spine morphology. Curr Biol 15: 587–593. [DOI] [PubMed] [Google Scholar]
- Goetze B, Tuebing F, Xie Y, Dorostkar MM, Thomas S, Pehl U, Boehm S, Macchi P, Kiebler MA. 2006. The brain-specific double-stranded RNA-binding protein Staufen2 is required for dendritic spine morphogenesis. J Cell Biol 172: 221–231. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hall TM. 2005. Multiple modes of RNA recognition by zinc finger proteins. Curr Opin Struct Biol 15: 367–373. [DOI] [PubMed] [Google Scholar]
- Iijima T, Wu K, Witte H, Hanno-Iijima Y, Glatter T, Richard S, Scheiffele P. 2011. SAM68 regulates neuronal activity-dependent alternative splicing of Neurexin-1. Cell 147: 1601–1614. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ince-Dunn G, Okano HJ, Jensen KB, Park WY, Zhong R, Ule J, Mele A, Fak JJ, Yang C, Zhang C, et al. . 2012. Neuronal Elav-like (Hu) proteins regulate RNA splicing and abundance to control glutamate levels and neuronal excitability. Neuron 75: 1067–1080. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ingolia NT, Ghaemmaghami S, Newman JR, Weissman JS. 2009. Genome-wide analysis in vivo of translation with nucleotide resolution using ribosome profiling. Science 324: 218–223. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Keene JD. 2007. RNA regulons: coordination of post-transcriptional events. Nat Rev Genet 8: 533–543. [DOI] [PubMed] [Google Scholar]
- Kent WJ, Sugnet CW, Furey TS, Roskin KM, Pringle TH, Zahler AM, Haussler D.. 2002. The human genome browser at UCSC. Genome Res 12: 996–1006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Klein ME, Younts TJ, Castillo PE, Jordan BA. 2013. RNA-binding protein Sam68 controls synapse number and local β-actin mRNA metabolism in dendrites. Proc Natl Acad Sci 110: 3125–3130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Konig J, Zarnack K, Rot G, Curk T, Kayikci M, Zupan B, Turner DJ, Luscombe NM, Ule J. 2010. iCLIP reveals the function of hnRNP particles in splicing at individual nucleotide resolution. Nat Struct Mol Biol 17: 909–915. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Konig J, Zarnack K, Rot G, Curk T, Kayikci M, Zupan B, Turner DJ, Luscombe NM, Ule J. 2011. iCLIP—transcriptome-wide mapping of protein–RNA interactions with individual nucleotide resolution. J Vis Exp. 50: e2638. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kwan KY, Lam MM, Johnson MB, Dube U, Shim S, Rasin MR, Sousa AM, Fertuzinhos S, Chen JG, Arellano JI, et al. . 2012. Species-dependent posttranscriptional regulation of NOS1 by FMRP in the developing cerebral cortex. Cell 149: 899–911. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Leppek K, Schott J, Reitter S, Poetz F, Hammond MC, Stoecklin G. 2013. Roquin promotes constitutive mRNA decay via a conserved class of stem-loop recognition motifs. Cell 153: 869–881. [DOI] [PubMed] [Google Scholar]
- Li X, Quon G, Lipshitz HD, Morris Q. 2010. Predicting in vivo binding sites of RNA-binding proteins using mRNA secondary structure. RNA 16: 1096–1107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liang J, Song W, Tromp G, Kolattukudy PE, Fu M. 2008. Genome-wide survey and expression profiling of CCCH-zinc finger family reveals a functional module in macrophage activation. PLoS ONE 3: e2880. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lunde BM, Moore C, Varani G. 2007. RNA-binding proteins: modular design for efficient function. Nat Rev Mol Cell Biol 8: 479–490. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Matsushita K, Takeuchi O, Standley DM, Kumagai Y, Kawagoe T, Miyake T, Satoh T, Kato H, Tsujimura T, Nakamura H, et al. . 2009. Zc3h12a is an RNase essential for controlling immune responses by regulating mRNA decay. Nature 458: 1185–1190. [DOI] [PubMed] [Google Scholar]
- Miller JW, Urbinati CR, Teng-Umnuay P, Stenberg MG, Byrne BJ, Thornton CA, Swanson MS. 2000. Recruitment of human muscleblind proteins to (CUG)(n) expansions associated with myotonic dystrophy. EMBO J 19: 4439–4448. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mohler J, Weiss N, Murli S, Mohammadi S, Vani K, Vasilakis G, Song CH, Epstein A, Kuang T, English J, et al. . 1992. The embryonically active gene, unkempt, of Drosophila encodes a Cys3His finger protein. Genetics 131: 377–388. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Niehrs C, Pollet N. 1999. Synexpression groups in eukaryotes. Nature 402: 483–487. [DOI] [PubMed] [Google Scholar]
- Noctor SC, Martinez-Cerdeno V, Ivic L, Kriegstein AR. 2004. Cortical neurons arise in symmetric and asymmetric division zones and migrate through specific phases. Nat Neurosci 7: 136–144. [DOI] [PubMed] [Google Scholar]
- Peng S, Chen LL, Lei XX, Yang L, Lin H, Carmichael GG, Huang Y. 2011. Genome-wide studies reveal that Lin28 enhances the translation of genes important for growth and survival of human embryonic stem cells. Stem Cells 29: 496–504. [DOI] [PubMed] [Google Scholar]
- Polesskaya A, Cuvellier S, Naguibneva I, Duquet A, Moss EG, Harel-Bellan A. 2007. Lin-28 binds IGF-2 mRNA and participates in skeletal myogenesis by increasing translation efficiency. Genes Dev 21: 1125–1138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ray D, Kazan H, Cook KB, Weirauch MT, Najafabadi HS, Li X, Gueroussov S, Albu M, Zheng H, Yang A, et al. . 2013. A compendium of RNA-binding motifs for decoding gene regulation. Nature 499: 172–177. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rounbehler RJ, Fallahi M, Yang C, Steeves MA, Li W, Doherty JR, Schaub FX, Sanduja S, Dixon DA, Blackshear PJ, et al. . 2012. Tristetraprolin impairs myc-induced lymphoma and abolishes the malignant state. Cell 150: 563–574. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ruggiu M, Herbst R, Kim N, Jevsek M, Fak JJ, Mann MA, Fischbach G, Burden SJ, Darnell RB. 2009. Rescuing Z+ agrin splicing in Nova null mice restores synapse formation and unmasks a physiologic defect in motor neuron firing. Proc Natl Acad Sci 106: 3513–3518. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sato T, Katagiri K, Gohbara A, Inoue K, Ogonuki N, Ogura A, Kubota Y, Ogawa T. 2011. In vitro production of functional sperm in cultured neonatal mouse testes. Nature 471: 504–507. [DOI] [PubMed] [Google Scholar]
- Srivastava M, Simakov O, Chapman J, Fahey B, Gauthier ME, Mitros T, Richards GS, Conaco C, Dacre M, Hellsten U, et al. . 2010. The Amphimedon queenslandica genome and the evolution of animal complexity. Nature 466: 720–726. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stefani G, Fraser CE, Darnell JC, Darnell RB. 2004. Fragile X mental retardation protein is associated with translating polyribosomes in neuronal cells. J Neurosci 24: 7272–7276. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sugimoto Y, Konig J, Hussain S, Zupan B, Curk T, Frye M, Ule J. 2012. Analysis of CLIP and iCLIP methods for nucleotide-resolution studies of protein–RNA interactions. Genome Biol 13: R67. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Uehata T, Iwasaki H, Vandenbon A, Matsushita K, Hernandez-Cuellar E, Kuniyoshi K, Satoh T, Mino T, Suzuki Y, Standley DM, et al. . 2013. Malt1-induced cleavage of regnase-1 in CD4+ helper T cells regulates immune activation. Cell 153: 1036–1049. [DOI] [PubMed] [Google Scholar]
- Ule J, Ule A, Spencer J, Williams A, Hu JS, Cline M, Wang H, Clark T, Fraser C, Ruggiu M, et al. . 2005. Nova regulates brain-specific splicing to shape the synapse. Nat Genet 37: 844–852. [DOI] [PubMed] [Google Scholar]
- Vessey JP, Macchi P, Stein JM, Mikl M, Hawker KN, Vogelsang P, Wieczorek K, Vendra G, Riefler J, Tubing F, et al. . 2008. A loss of function allele for murine Staufen1 leads to impairment of dendritic Staufen1-RNP delivery and dendritic spine morphogenesis. Proc Natl Acad Sci 105: 16374–16379. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vierbuchen T, Ostermeier A, Pang ZP, Kokubu Y, Sudhof TC, Wernig M. 2010. Direct conversion of fibroblasts to functional neurons by defined factors. Nature 463: 1035–1041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vinuesa CG, Cook MC, Angelucci C, Athanasopoulos V, Rui L, Hill KM, Yu D, Domaschenz H, Whittle B, Lambe T, et al. . 2005. A RING-type ubiquitin ligase family member required to repress follicular helper T cells and autoimmunity. Nature 435: 452–458. [DOI] [PubMed] [Google Scholar]
- Wagnon JL, Briese M, Sun W, Mahaffey CL, Curk T, Rot G, Ule J, Frankel WN. 2012. CELF4 regulates translation and local abundance of a vast set of mRNAs, including genes associated with regulation of synaptic function. PLoS Genet 8: e1003067. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang ET, Cody NA, Jog S, Biancolella M, Wang TT, Treacy DJ, Luo S, Schroth GP, Housman DE, Reddy S, et al. . 2012. Transcriptome-wide regulation of pre-mRNA splicing and mRNA localization by muscleblind proteins. Cell 150: 710–724. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wilbert ML, Huelga SC, Kapeli K, Stark TJ, Liang TY, Chen SX, Yan BY, Nathanson JL, Hutt KR, Lovci MT, et al. . 2012. LIN28 binds messenger RNAs at GGAGA motifs and regulates splicing factor abundance. Mol Cell 48: 195–206. [DOI] [PMC free article] [PubMed] [Google Scholar]
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