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Article

Phosphomimicry on STAU1 Serine 20 Impairs STAU1 Posttranscriptional Functions and Induces Apoptosis in Human Transformed Cells

by
Yulemi Gonzalez Quesada
,
Florence Bonnet-Magnaval
and
Luc DesGroseillers
*
Département de Biochimie et Médecine Moléculaire, Faculté de Médecine, Université de Montréal, 2900 Édouard Montpetit, Montreal, QC H3T 1J4, Canada
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2022, 23(13), 7344; https://doi.org/10.3390/ijms23137344
Submission received: 1 June 2022 / Revised: 28 June 2022 / Accepted: 29 June 2022 / Published: 1 July 2022
(This article belongs to the Special Issue RNA-Binding Proteins and Their Emerging Roles in Cancer 2.0)
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Abstract

:
Staufen 1 (STAU1) is an RNA-binding protein that is essential in untransformed cells. In cancer cells, it is rather STAU1 overexpression that impairs cell proliferation. In this paper, we show that a modest increase in STAU1 expression in cancer cells triggers apoptosis as early as 12 h post-transfection and impairs proliferation in non-apoptotic cells for several days. Interestingly, a mutation that mimics the phosphorylation of STAU1 serine 20 is sufficient to cause these phenotypes, indicating that serine 20 is at the heart of the molecular mechanism leading to apoptosis. Mechanistically, phosphomimicry on serine 20 alters the ability of STAU1 to regulate translation and the decay of STAU1-bound mRNAs, indicating that the posttranscriptional regulation of mRNAs by STAU1 controls the balance between proliferation and apoptosis. Unexpectedly, the expression of RBD2S20D, the N-terminal 88 amino acids with no RNA-binding activity, is sufficient to induce apoptosis via alteration, in trans, of the posttranscriptional functions of endogenous STAU1. These results suggest that STAU1 is a sensor that controls the balance between cell proliferation and apoptosis, and, therefore, may be considered as a novel therapeutic target against cancer.

1. Introduction

Cell proliferation is a complex phenomenon that relies on the tight regulation of gene expression, signaling pathways, and proteome balance [1,2,3,4]. Cell survival and adaptation depend on the capacity of the cells to rapidly respond to several internal and external stresses that are continuously challenging their homeostasis. The dysregulation of any of these pathways may trigger severe abnormalities that cause diseases or induce cell death [4,5]. For example, the activation of oncogenes is well known to stimulate cell proliferation and thus induce tumorigenesis in many cancer types [6]. However, oncogenic mutations or the overexpression of oncogenes can rather induce cellular senescence [7]. Similarly, cancer cells use a variety of molecular mechanisms to suppress apoptosis and facilitate cell proliferation [8,9]. Thus, cell proliferation, senescence, and apoptosis form intricate pathways, in which even the subtle dysregulation of a gene or protein expression can tip the balance toward one or the other cell decision. Understanding the molecular mechanisms beyond the cell decision may provide deeper insights into cancer and influence therapeutic strategy.
STAU1 is expressed as two different isoforms of 55 and 63 kDa [10]. STAU163 is identical to STAU155 but carries an 81-amino acid extension at its N-terminal extremity. STAU155 is a double-stranded RNA-binding protein that plays critical roles in cell decisions via the posttranscriptional regulation of RNA regulons [10,11,12,13]. STAU155 binds to and controls the expression of different populations of specific mRNAs [14,15,16,17,18] through the induction or inhibition of their transport and localization [19,20], alternative splicing [21], translation [15,17,18,22], or decay [23]. STAU155 is associated with ribosomes and regulates cap-dependent translation [10,11,24]. It also acts as an IRES-transacting factor in cap-independent translation [25]. Through these molecular mechanisms, STAU155 regulates several physiological pathways linked to cell decision such as differentiation, proliferation, migration, apoptosis, autophagy, and stress response autophagy (reviewed in [13,19,26,27,28,29]). In cancer cells, the proto-oncogene non-receptor tyrosine kinase SRC phosphorylates STAU155 on tyrosines 380 and 493 [30]. Although the meaning of these modifications is not known, it suggests that posttranslational modifications could modify the molecular functions of STAU155 in cancer cells compared to those in untransformed cells.
STAU155 expression is essential for the proliferation of non-transformed cells, as it facilitates the cell cycle checkpoint transition via a coordinated control of pro/anti-proliferative and pro/anti-apoptotic regulons [31]. Not surprisingly then, large scale comparative studies of tumor and normal tissues indicate that the STAU155 expression level is upregulated in most cancers, favoring the pro-proliferative (reviewed in [13,29]) and malignant [32,33] phenotypes. It was suggested that STAU155 could be considered as an oncogene and that the high level of STAU155 could indeed be a potential biomarker for prostate cancer [34], high grade gliomas [35,36], and stage IA and IB lung squamous cell carcinoma [37]. Thus, by adjusting the expression of STAU155, the cancer cell establishes a new balance of gene expression via the STAU155-mediated posttranscriptional regulation that favors both cell proliferation and survival. However, genome-wide studies of large cohorts of tumors also show a correlation between high STAU155 level and long-term survival rates following treatments [38,39,40]. These opposite results suggest that STAU155 expression marks the boundary between proliferation and cell death and that a small modulation of its expression could tip the balance towards one of the two pathways. Indeed, ectopic expression of STAU155 in cancer cells triggers signaling pathways that lead to mitotic defects [41] and increases sensitivity to apoptosis induction [42,43,44]. Similarly, proliferation is facilitated and apoptosis is reduced when STAU155-mediated RNA decay (SMD) is inhibited by the upregulation of long non-coding RNAs in several tumors [33,42,43,45], indicating that SMD controls cell decision.
STAU155 expression is transcriptionally upregulated by the transcription factor E2F1 [31] and proteolytically downregulated by the E3-ubiquitin ligase anaphase-promoting complex/cyclosome (APC/C) during mitosis [41]. However, the mechanisms that control its functions in proliferation versus apoptosis are not clear. We previously showed that a modest increase in STAU155 levels impairs cancer cell proliferation and that the molecular determinant involved in this antiproliferative effect is located in the first N-terminal 88 amino acids of STAU155 [41]. This sequence corresponds to STAU155 RBD2, a domain that does not bind RNAs in vitro but establishes protein–protein interaction with CDH1 and CDC20 for its degradation in mitosis by APC/C [41] and with the mitotic spindle [46]. In this paper, we show that STAU155 overexpression in transformed cells induces apoptosis and proliferation impairment dependent on a molecular determinant located within amino acid 17 and 25 at the N-terminal end of STAU155. More specifically, the presence of a negative charge on S20 is at the heart of the mechanism that induces apoptosis and proliferation impairment in cancer upon STAU155 overexpression via altered STAU155 posttranscriptional functions.

2. Results

2.1. STAU155 Overexpression Causes a Fast-Acting Apoptosis Response in Transformed Cells

Our previous results demonstrated that an increase in the level of STAU155 expression is deleterious to cancer cells [41]. To determine if this phenotype is due to apoptosis, we performed time-lapse experiments using a coupled-GFP dye that specifically stains activated caspases 3/7 in cellulo, thus allowing a real-time detection of apoptosis induction. First, HEK293T cells were transfected with plasmids coding for STAU155-mCherry or mCherry as the control. The GFP-dye was directly added after transfection, and the time-lapse microscopy acquisition was performed for 36 h (Figure 1A). A significant increment of GFP staining (apoptosis) was observed 12 h after the transfection in STAU155-mCherry transfected cells but not in control cells (Figure 1B,C). At this time point, mCherry staining (STAU155 and control expression) was barely detectable in both cell lines (Figure 1B,D). Nevertheless, the western blotting analysis showed that STAU155-mCherry and the control mCherry were expressed at this time point (Figure 1D). The GFP signal intensity then reached a maximum value at around 18–24 h, and then stabilized until 36 h (Figure 1B,C). Simultaneously, the mCherry signal slowly increased until the end of the experiment (Figure 1B,D). This result revealed that STAU155 overexpression triggers cell apoptosis during the first hours following transfection. Interestingly, although the induction of apoptosis correlates with STAU155 expression, STAU155 overexpression (red signal) was not detected at this time point, suggesting that the cell decision to activate the apoptotic cascade occurs in the early steps following STAU155 expression and is not due to the excessive or artificial overexpression of STAU155.
The stabilization of the apoptotic GFP signal suggests that once the cell fate is decided, STAU155-mCherry-expressing cells no longer enter apoptosis. To test this hypothesis, the addition of the GFP-dye and time-lapse microscopy was initiated 24 h post-transfection (Figure 1A), during the apoptotic plateau (Figure 1C). Prior to adding the GFP-dye, cells were washed to remove dead cells. After washing, the amount of apoptotic green signal was similar in the control and STAU155-mCherry-expressing cells (Figure 1E). Images were then acquired for 12 h. Interestingly, in contrast to what was observed in the first 24 h, there was no significant difference between the two cell lines in the apoptotic GFP signal (Figure 1F), indicating that apoptosis is an early response to STAU155 expression.

2.2. Amino Acids 18–25 Carry the Molecular Determinant That Impairs Cell Proliferation

To determine the fate of non-apoptotic cells, growth curves were generated. Controls (empty vector and STAU1Δ88-HA3) and STAU155-HA3-transfected cells were trypsinized 24 h post-transfection to remove apoptotic cells, then plated at the same density, and allowed to grow for three days (Figure 2). As previously observed [41], STAU155-expressing cells had impaired cell proliferation profiles compared to control cells, indicating that cells that did not enter the apoptotic pathway nevertheless have proliferation defects.
To identify the molecular determinant within the fist 88 amino acids at the N-terminal of STAU155 that impairs cell proliferation, we generated progressive deletions in this region (Figure 2A). The wild type and mutant proteins were expressed in HEK293T cells (Figure 2B), and growth curve assays were initiated 24 h post-transfection (Figure 2C) to determine the capacity of each mutant to impair cell proliferation. As controls, the expression of STAU155-HA3 impaired cell proliferation, whereas the mutant protein with deletion of the first 88 N-terminal amino acids (STAU1Δ88-HA3) grew as efficiently as untransfected or empty vector-transfected cells. The expression of mutants that lacked the first 17 N-terminal amino acids (or less) still impaired cell proliferation, as did the wild-type protein. In contrast, the expression of proteins with the deletion of 25 (or more) amino acids did not impair cell proliferation. These results indicate that the molecular determinant responsible for the antiproliferative effect of STAU155 is comprised between amino acid 18 and 25 at the N-terminal extremity of STAU155.

2.3. Phosphomimicry on S20 and T21 Controls Cell Proliferation

Remarkably, four of the eight amino acids in the 18–25 amino acid sequence were putative targets for phosphorylation, MQS20T21Y22NY24N. To determine if phosphorylation events could be involved in the STAU155-dependent impairment of cell proliferation, we generated phosphomimetic and non-phosphorylatable mutants for each of these residues and determined the impact of these modifications on cell proliferation using the growth curve assay (Figure 3). Each mutant was transfected in HEK293T cells, and western blotting was performed to confirm their expression (Figure 3A). The expression of the phosphomimetic S20D mutant impaired cell proliferation (Figure 3B). In contrast, cells transfected with the non-phosphorylatable S20A mutant grew normally. The opposite effect was observed following the expression of the T21 mutants (Figure 3C). The non-phosphorylatable T21A mutant impaired cell proliferation, as did the wild-type protein. Cells expressing the phosphomimetic T21D mutant grew even faster than the control cells. These results indicate that the presence of a permanent negative charge on S20 affects cell proliferation and suggest that phosphorylation may account for the antiproliferative effect. In contrast, no differences in cell growth were observed when the phosphomimetic and non-phosphorylatable mutants of Y22 and Y24 were expressed (Figure 3D,E).
To determine if STAU1S20D also recapitulates the apoptotic program induced by STAU155 when expressed in transformed cells, we transfected plasmids coding for STAU155HA3, STAU1S20A-HA3, and STAU1S20D-HA3 in HEK293T cells and measured the fluorescence generated by the caspase activation. STAU1S20D-HA3 induced apoptosis, as did STAU155-HA3 (Figure 3F). In contrast, STAU1S20A-HA3 had a limited capacity to induce apoptosis. A western blot experiment indicated that the proteins were expressed at the same levels (Figure 3G). These results indicate that the presence of a negative charge on S20 induces apoptosis and impairs the cell proliferation of non-apoptotic cells.

2.4. S20 Phosphomimicry Controls STAU155-Mediated Post-Transcriptional Regulation

To identify the mechanism that impairs cell proliferation when STAU155 is expressed in transformed cells, we determined whether the presence or absence of a negative charge on S20 altered STAU155 posttranscriptional functions. Therefore, STAU155, STAU1S20A, STAU1S20D, and the controls were expressed in HEK293T cells, and their molecular functions were compared. Our results indicate that the sub-cellular localization of the proteins in the cytoplasm or on the mitotic spindle and their stability/degradation were not affected by the mutations (data not shown).
In contrast, the capacity of STAU155 to enhance translation when bound to the 5′UTR of mRNAs [22] was affected by the mutation on S20. We used the reporters Rluc fused (SBS-Rluc) or not (Rluc) to the ARF1 STAU155-binding site (SBS) in the 5′UTR [22] to measure the impact of S20 mutations on translation. Plasmids coding for Rluc and SBS-Rluc were co-transfected with plasmids coding for STAU155-YFP, STAU1S20A-YFP, STAU1S20D-YFP, or the empty vector. Luciferase assays were performed as a measure of translation. Western blotting experiments indicated that the levels of expression of STAU155 mutants were similar and that their expression was equivalent to that of endogenous STAU155 (Figure 4A). Luciferase assays first indicated, as expected [22], that the expression of STAU155 enhanced the translation of SBS-Rluc compared to Rluc (Figure 4A). Then, they showed that STAU1S20D was not able to enhance the translation of SBS-Rluc, whereas STAU1S20A was still able. None of these proteins had a significant effect on the translation of Rluc.
Similarly, the capacity of STAU155 to elicit SMD was affected by the S20D mutation. To measure SMD, we compared the amounts of ARF1 mRNA, a known target of SMD [23], in HCT116 and STAU1-KO HCT116 (CR1.3 cells) cells. As expected, the amounts of ARF1 mRNA were lower in HCT116 cells compared to those in STAU1-KO cells (Figure 4B). We then transfected STAU1-KO cells with plasmids coding for STAU155-HA3, STAU1S20A-HA3, or STAU1S20D-HA3 and determined if SMD can be rescued. As expected, the expression of STAU155-HA3 restored SMD in STAU1-KO cells, while the transfection of the empty vector had no effect. Interestingly, STAU1S20A-HA3 also rescued SMD, as did the STAU155 wild type (Figure 4B). In contrast, STAU1S20D-HA3 was unable to rescue SMD. Altogether, these results indicate that the presence of a negative charge on S20 abrogates STAU155-dependent translation and SMD.

2.5. RBD2 Expression Is Sufficient to Impair Cell Proliferation and to Induce Apoptosis

To determine if RBD2 is sufficient to impair cell proliferation and as corollary if other functional domains of STAU155 are synergistically involved in this function, we fused RBD2 to YFP (Figure 5A), a protein that does not impair cell proliferation when expressed in transformed cells. Growth curve assays, initiated 24 h post-transfection, were used to compare the growth of cells expressing RBD2-YFP to that of cells expressing STAU155-YFP, STAU1Δ88-YFP, and YFP, as controls (Figure 5B). Western blotting compared the expression of these proteins in HEK293T cells. As expected, the growth of cells expressing STAU155-YFP was lower than those of cells expressing YFP or STAU1Δ88-YFP. Interestingly, cells expressing RBD2-YFP showed impaired cell proliferation, similar to that of cells expressing STAU155-YFP.
To determine if RBD2-YFP is able to induce apoptosis, cells were then transfected with plasmids coding for RBD2-YFP, STAU155-YFP, or STAU1Δ88-YFP and immediately visualized by microscopy for fluorescence staining following caspase activation (Figure 5C). The expression of RBD2-YFP induced apoptosis, as did STAU155-YFP, whereas STAU1Δ88-YFP did not. These results indicate that RBD2 is sufficient to impair cell proliferation and induce apoptosis when expressed in transformed cells and, consequently, that other domains of STAU155 are not required for these functions.
To determine if RBD2-YFP uses that same molecular determinant as STAU155 to impair cell proliferation, we generated phosphomimetic and non-phosphorylatable mutants of S20 in the context of RBD2-YFP. The growth of cells expressing RBD2S20A-YFP and RBD2S20D-YFP was compared to that of cells expressing STAU155-YFP, STAU1Δ88-YFP, RBD2-YFP, and YFP (Figure 5D). Interestingly, cells expressing RBD2S20D showed impaired cell proliferation, as did STAU155-YFP and RBD2-YFP, whereas cells expressing RBD2S20A-YFP grew normally, as did STAU1Δ88-YFP and YFP-expressing cells. These results indicate that the molecular determinant of RBD2-YFP that contributes to impair cell proliferation when expressed in transformed cells is identical to that of STAU155.

2.6. RBD2 Interferes with Endogenous STAU155 to Impair SMD

We showed that RBD2 impairs cell proliferation, as does STAU155, and that it uses the same molecular determinant. However, RBD2 does not bind dsRNA. Therefore, we tested the capacity of RBD2 to affect STAU155-dependent translation and SMD. Plasmids coding for Rluc and SBS-Rluc were co-transfected with plasmids coding for STAU155-YFP, STAU1Δ88-YFP, RBD2-YFP, or the empty vector. Luciferase assays indicated that RBD2 expression did not enhance the translation of SBS-Rluc (Figure 6A). We then compared the effects of RBD2 on SMD. STAU155-HA3, STAU1Δ88-HA3, RBD2-HA3, or the empty vector were transfected into STAU1-KO HCT116 cells. As expected, the expression of STAU155-HA3 restored SMD, while STAU1Δ88-HA3 partly restored SMD. In contrast, the expression of RBD2-HA3 did not re-establish SMD (Figure 6B).
Experiments in Figure 6A,B were designed to test the direct role of RBD2 in post-transcriptional regulation. As RBD2 had no direct role on translation or SMD, we then tested whether RBD2 interferes with endogenous STAU155 and indirectly affects STAU155-mediated posttranscriptional control. Especially, RBD2 was previously shown to interact with RBD5 [47], the C-terminal domain involved in STAU155 homodimerization [48]. The expression of RBD2 could, therefore, prevent STAU155 dimerization that in turn is essential for SMD [48]. Thus, HCT116 cells were transfected with increasing amounts of a plasmid coding for RBD2-HA3 (Figure 6C), and SMD efficiency was quantified with ARF1 mRNA (Figure 6D). STAU1-KO cells were used as the control for the amount of ARF1 mRNA when STAU155 was absent. As expected, ARF1 mRNA levels were reduced in HCT116 cells compared to STAU1-KO cells due to SMD. The increasing expression of RBD2-HA3 paralleled an increase of ARF1 mRNA levels in STAU155-expressing cells, consistent with impaired SMD. Combined with the fact that RBD2 has no effect on SMD in STAU1-KO cells (Figure 6B), these results indicate that RBD2 acts in trans and interferes with endogenous STAU155 functions to prevent SMD.

3. Discussion

STAU155 is well characterized for its involvement in cell decision during development, cell differentiation, or proliferation, through pluripotent post-transcriptional activities [13,29]. We now show that the posttranslational modification on serine 20 in the N-terminal region of STAU155 is sufficient to impair cell proliferation and trigger the apoptosis of cancer cells. Indeed, the presence of a negative charge on serine 20 rather than overexpression, per se, is responsible for the observed phenotypes since the overexpression of STAU1S20A has no effect on cell proliferation. The molecular mechanism by which serine 20 impairs cell proliferation likely relies on a modulation of STAU155 posttranscriptional activity, especially the translation and/or decay of STAU155-bound mRNAs. Surprisingly, expression of RBD2 alone is also able to impair cell proliferation dependent on serine 20, likely via an interaction that inhibits endogenous STAU155 functions.

3.1. STAU155 Overexpression Impairs Cell Proliferation and Triggers Apoptosis of Transformed Cells

In contrast to what was observed in untransformed cells [31], STAU1 depletion or knockout had no effect on the proliferation of cancer cells, indicating that STAU1 is not essential once cells are transformed [40,41,46]. In contrast, STAU155 overexpression led to impaired cell proliferation that is due, at least partly, to the induction of cell death [41,42,43,44]. STAU155 is described as an oncogene that facilitates cell cycle phase transition [31]. It is thus appropriate that its expression is upregulated in most cancers. However, STAU155 expression seems to be kept at the edge between cell proliferation and cell death since high STAU155 expression correlates with better survival rates following treatments [38,39,40], indicating that high STAU155 expression makes cells more sensitive to death-inducing treatments. Therefore, an increase of STAU155 expression in cancer cells perturbs the fragile equilibrium between proliferation and cell death and impairs cell proliferation. In addition to being an oncogene, STAU155 can also be considered a pro-apoptotic factor.
Interestingly, STAU155-overexpressing transformed cells entered apoptosis shortly after transfection, well before exogenous STAU155 expression was elevated. Cells that escaped apoptosis during this early response did not enter apoptosis later on. They nevertheless displayed impaired cell proliferation compared to untransfected cells. The nature of the defects was not clear. We previously showed that these cells are not apoptotic, senescent, or quiescent [41]. As STAU155 is a facilitator of the cell cycle phase transition in untransformed cells [31], we believe that STAU155 overexpression in these cells may cause an unregulated acceleration of phase transition that eventually triggers genetic stress and, in turn, impaired cell proliferation.

3.2. STAU155 Regulates Cell Proliferation through Modifications of Serine 20/Threonine 21

The molecular dissection of the N-terminal region of STAU155 allowed us to identify two phosphorylatable residues, serine 20 and threonine 21, that exert opposite effects on cell proliferation. Impaired cell proliferation caused by the expression of the phosphomimetic S20D mutant correlated with the expression of the non-phosphorylatable T21A. These results strongly suggest that the phosphorylation/dephosphorylation of serine 20 and threonine 21 is the determinant that modulates cell proliferation, although we do not exclude the possibility that other types of posttranslational modifications on S20/T21 may control this function. These opposite results suggest that the phosphorylation of T21 may antagonize S20 phosphorylation, likely through conformational changes or steric hindrance.
The physiologically controlled phosphorylation/dephosphorylation of serine 20 is likely an efficient molecular mechanism for the regulation of the STAU155-mediated posttranscriptional regulation in changing cell environments. Interestingly, STAU155 overexpression had no effect on cell proliferation in non-transformed cells [31]. In contrast, it induced apoptosis in cancer cells. This suggests that cancer cells may express a constitutively active kinase that can phosphorylate STAU155. Cancer cells are known to overexpress several kinases and/or express mutated kinases with constitutively active functions compared to non-transformed cells [49,50]. Since cancer cells grow well, it is likely that only a fraction of STAU155 is phosphorylated and that cancer cells maintain an optimal ratio of phosphorylated/unphosphorylated STAU155 molecules that facilitate proliferation. We proposed that this ratio keeps the cells at the edge between proliferation and apoptosis, since a modest increase in STAU155 expression causes apoptosis. Upon STAU155 overexpression, the absolute amount of phosphorylated STAU155 then increases tipping the balance toward apoptosis. One caveat of this study is that we were unable to document posttranslational modifications on serine 20. Although we identified four phosphorylation sites on STAU155 following immunoprecipitation and mass spectrometry (Boulay and DesGroseillers, unpublished), none of them were in the N-terminal end of STAU155. The absence of coverage in the N-terminal fragment did not allow us to determine if serine 20 is phosphorylated or not and may reflect technical constraints.

3.3. Expression of RBD2 Alone Impairs Cell Proliferation and Triggers Apoptosis

Surprisingly, our results indicate that RBD2 is sufficient to impair cell proliferation and trigger apoptosis following its overexpression in transformed cells. As observed with STAU155, the presence of a negative charge on serine 20 of RBD2 was absolutely required to impair cell proliferation. The observation that RBD2 needs the expression of endogenous STAU155 to impair SMD suggests that the charged serine 20 in the context of RBD2 interferes in trans with STAU155, the same way as the charged serine 20 in STAU155 does to impair STAU155 posttranscriptional functions. Our model was that the negative charge on serine 20 promotes or facilitates the interaction between RBD2 and the C-terminal domain of endogenous STAU155, preventing STAU155 dimerization and inhibiting SMD (Figure 7). Interactions between RBD2 and RBD5 were previously reported [47,48]. Similarly, the mechanism of STAU155 dimerization was elucidated and shows that the Staufen-swapping domain (SSM) of one STAU155 molecule interacts with the RBD5 of another one [48]. The presence of positively charged amino acids at the SSM-RBD5 interface was consistent with a putative role of the negatively charged serine 20 in a mechanism that regulates STAU155 dimerization. The loss of dimerization would then explain the inhibition of STAU155-mediated posttranscriptional regulation [48].

3.4. Serine 20 Regulates STAU155 Posttranscriptional Functions

Our results indicate that STAU1S20D loses its ability to enhance translation when bound in the 5′UTR of mRNAs and to induce mRNA decay when bound in the 3′UTR of mRNAs (Figure 5). STAU155-mediated translational regulation also occurs through binding to GC-rich regions of the coding sequence and to the 3′UTR [15,17,18]. STAU155, thus, can strongly influence the expression of RNA regulons in changing cell environment. Many STAU155-bound mRNAs code for proteins involved in the apoptotic or cell proliferation pathways (Supplementary Materials Table S1), suggesting that the modulation of STAU155 expression can change the expression of downstream RNA targets and, accordingly, cell fate. Indeed, through ribosome profiling and RNAseq experiments, it was shown that the misregulation of STAU155 expression (overexpression or depletion) changes the translational profiles and/or abundance of multiple mRNAs in transformed cells [15,17,18,31]. Therefore, through impaired posttranscriptional functions, STAU1S20D may completely change the equilibrium between proliferative and apoptotic transcripts and tip the balance toward impaired cell proliferation.

4. Materials and Methods

4.1. Cell Culture and Transfection

HCT116 (colorectal carcinoma cell line), STAU1-knockout HCT116 [46], and HEK293T (human embryonic kidney cell line) cells were cultured in Dulbecco modified Eagle’s medium (DMEM, Wisent) supplemented with 10% fetal bovine serum (Wisent), 100 μg/mL streptomycin, and 100 units/mL penicillin (Wisent Inc, St-Bruno, QC, Canada) under 5% CO2 atmosphere. Cells were transfected with TransIT-LT1 transfection reagent (MJS BioLynx Inc, Brockville, ON, Canada), using 3 µg of plasmid DNA for all transfection, except for plasmids coding for RBD2-tagged proteins (2 µg) and YFP (1 µg) in 10-cm petri dishes. Amounts of 2 µg, 1 µg, and 0.5 µg of plasmids were used, respectively, when transfected in 6-cm petri dishes. For the luciferase assay, a mixture of 600 ng of plasmids coding for the specific proteins, 300 ng of the Rluc or SBS-Rluc vector, and 100 ng of empty vector was transfected in 6-cm petri dishes.

4.2. Plasmids and Cloning Strategies

Plasmids cloning for STAU155-HA3 (in pcDNA3 RSV) and its progressive N-terminal deletion mutants (Δ88, Δ60, Δ46, Δ37, Δ25, Δ17, and Δ7) were previously described [41]. Plasmids cloning for STAU155-YFP (in YFP Topaz) and its mutant of deletion of the first 88 amino acids were described [47]. To obtain the plasmid RBD2 in YFP Topaz, the region corresponding to RBD2 in STAU155 (amino acids 1–88) was PCR amplified using STAU155-YFP as a template. Briefly, RBD2 was amplified with oligos forward 5′-TACCCGAATTCAGTTATAAGCCTGTTGACCCTTAC-3′ and reverse 5′-TACCACCGGTGATTCTCTTCCATTCACCTCCAG-3′. PCR products were digested with endonucleases EcoRI and AgeI (New England BioLabs Ltd., Whitby, ON, Canada) and ligated in YFP-topaz with T4 ligase (Thermofisher scientific, St-Laurent, QC, Canada).
Phosphomimetics and non-phosphorylatable mutants for S20, T21, Y22, and Y24 of STAU155 were created by substitution with aspartic acid or alanine, respectively. Briefly, we performed all-around PCR assays using oligos (Integrated DNA Technologies, Coralville, IA, USA) (Supplementary Materials Table S2) and PfuUltra II Fusion HotStart DNA Polymerase (600670) (Agilent, Toronto, ON, Canada). PCR results were digested with DpnI (NEB-R0176S) (New England BioLabs Ltd., Whitby, ON, Canada). Mutations were confirmed by sequencing. Phospho-mutants for S20 in the RBD2-YFP background were obtained using the same strategy and oligos using RBD2-YFP as the PCR template.

4.3. Time Lapse Microscopy and Image Analysis

HEK293T cells were transfected with vectors, allowing the overexpression of STAU155-mCherry or mCherry as a control (in pCDNA3.1-CMV). CellEvent™ Caspase-3/7 Green Detection Reagent (Invitrogen™, ST-Laurent, QC, Canada) was added directly after transfection (Figure 1A experiment A) or 24 h after transfection (Figure 1A experiment B) following the manufacturer’s procedure at a final concentration of 2 µM. Time lapse video microscopy with images taken every 10 min for 12, 16, or 36 h was conducted with the spinning disk Axio Observer Z1 (Zeiss, Oberkochen, Germany), equipped with an incubation chamber providing the optimal cell growth. Similarly to experiment A, HEK293T cells were transfected with previously described vectors STAU155-HA3, RBD2-HA3, Δ88-HA3, STAU1S20A-HA3, or STAU1S20D-HA3, and time lapse was performed every 10 min for 20 h. HEK293T cells were transfected with STAU155-YFP, STAU1S20A-YFP, STAU1S20D-YFP, or YFP control, and single time-point image acquisition on living cells at 37 °C under a 5% CO2 atmosphere was conducted after 36 h. Images were analyzed with ImageJ 1.52a (National Institutes Health, Bethesda, MD, USA). YFP (green), and mCherry (red) cell area signals were normalized to the total cell area (brightfield) and expressed as a percentage of this ratio.

4.4. Antibodies and Reagents

Anti-HA (12CA5) was purchased from Santa Cruz Biotechnology (Dallas, TX, USA) or from Millipore-Sigma (H6908) (Oakville, ON, Canada). The antibody against GFP (11814460001) was purchased from Roche (Oakville, ON, Canada) and used to detect YFP-tagged proteins since the two proteins are identical except for one amino acid and that anti-GFP antibody perfectly recognizes YFP. The antibody against mCherry was purchased from Sigma-Aldrich (AB356482) (Aokville, ON, Canada). Anti-STAU1 was previously described [51]. Anti-β-Actin (A5441) was obtained from Sigma (Aokville, ON, Canada). All primary antibodies were used at 1:1000 dilution. MG132 (C2211) was purchased from Millipore-Sigma (Aokville, ON, Canada) and used at 20 μM for 8 h. DMSO was purchased from Millipore-Sigma (Aokville, ON, Canada).

4.5. Western Blot Analysis

Cell extracts were lysed in Laemli buffer (25 mM Tris-Cl pH 7.4, 1% SDS). Proteins were then quantified with the BCA reagent kit (PierceTM BCA protein assay) (ThermoScientific, St-Laurent, QC, Canada). After adding the bromophenol blue, 10–20 μg of proteins was separated on 10% (HA-tagged proteins) or 15% (YFP-tagged proteins) acrylamide/bis acrylamide (29:1) gels, analyzed by western blotting, and revealed on X-ray films (Fujifilm, Christie Innomed, St-Eustache, QC, Canada) or with the ChemiDoc MP Imaging System (Bio-Rad Laboratories Ltd, St-Laurent, QC, Canada). Quantification analysis was made with ImageJ or ImageLab 6.1 (Bio-Rad Laboratories Ltd, St-Laurent, QC, Canada) software, respectively.

4.6. RNA Isolation and RT-qPCR

Cell extracts were homogenized with TRIZOL reagent (Ambion, St-Laurent, QC, Canada). Nucleic acids were extracted with chloroform and precipitated with isopropanol (Bioshop, Burlington, ON, Canada). Pellets were diluted in water and precipitated twice with LiCl 3M. Samples were digested with DNAse using the TURBO DNA-free kit (Ambion, St-Laurent, QC, Canada). Total RNA was quantified, and 1μg of each sample was reverse transcribed using the RevertAid H Minus First Strand cDNA Synthesis kit (Thermo Scientific, St-Laurent, QC, Canada) and oligo(dT). Products were qPCR amplified with the Luna® Universal qPCR Master Mix (New England BioLabs Ltd, Whitby, ON, Canada) and ran on a LightCycler96 (Roche, Oakville, ON, Canada). Amplification of ARF1 mRNA was performed using the oligos 5′-AGGCTGGTACCGGTCCGGAATTC- 3′ and 5′-CTCTGTCATTGCTGTCCACCACG- 3′, and normalization was made by the average gene expression of HPRT and RPL22, amplified using the oligos forward 5′- GCTTTCCTTGGTCAGGCAGAT -3′ and reverse 5′- CTTCGTGGGGTCCTTTTCACC -3′ for the first and forward 5′- TTGCTGTTAGCAACTACGCGCAAC -3′ and reverse 5′- TGGTGACCATCGAAAGGAGCAAGA -3′ for the latter.

4.7. Gene Expression Assays

To study STAU155-dependent translation, plasmids coding for STAU155-YFP, STAU1S20A-YFP, STAU1S20D-YFP, RBD2-YFP, RBD2S20A-YFP, and RBD2S20D-YFP were co-transected with plasmids coding for either Rluc or SBS-Rluc [22] in HEK293T cells that were allowed to growth for 24 h. Cells were lysed with passive lysis buffer, and the expression of Rluc was quantified in triplicate using the Dual Luciferase Reporter Assay System (Promega, Madison, WI, USA) and a luminometer (HIDEX). To study SMD, plasmids coding for STAU155-HA3, STAU1S20A-HA3, STAU1S20D-HA3, and RBD2-HA3 were transfected in STAU1-KO HCT116 cells [46]. At 24 h after transfection, the total RNA was extracted and the level of ARF1 mRNA was measured by RT-qPCR, as previously described [23].

4.8. Growth Curve Assays

At 24 h post-transfection, cells were trypsinized and plated at the same density (day = 0), and the remaining cells were lyzed and used for western blotting. For growth curve assays, cells were harvested every one or two days, and the number of cells was counted with a hemacytometer (Biorad Laboratories Ltd., St-Laurent, QC, Canada).

5. Conclusions

We propose that, following transfection, a cancer-associated kinase phosphorylates STAU155 serine 20 (Figure 7). Phosphorylation of serine 20 impairs STAU155 posttranscriptional activities (translation, mRNA decay) by preventing STAU155 homodimerization or by sequestering factors essential for cell proliferation. The inhibition of STAU155 posttranscriptional activities then changes the expression of STAU155-bound pro/anti-proliferative and pro/anti-apoptotic transcripts and tips the balance toward apoptosis and cell proliferation impairment. STAU155 can use multiple pathways to induce apoptosis, including the activation of the PERK-CHOP pathway of the unfolded protein response [44] and the perturbation of stress granule assembly [51,52,53]. STAU155 is a sensor of cell proliferation and, through modulate expression, controls cell fate. Our results indicate that, in cancer cells, STAU155 is involved in the control of proliferation and apoptosis. Therefore, STAU155 may be considered as a novel therapeutic target against cancer.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms23137344/s1.

Author Contributions

Conceptualization, Y.G.Q., F.B.-M. and L.D.; methodology, Y.G.Q., F.B.-M. and L.D.; validation, Y.G.Q., F.B.-M. and L.D.; formal analysis, Y.G.Q. and F.B.-M.; investigation, Y.G.Q. and F.B.-M.; writing—original draft, Y.G.Q. and F.B.-M.; writing—review—editing, Y.G.Q., F.B.-M. and L.D.; visualization, Y.G.Q., F.B.-M. and L.D.; supervision, L.D.; project administration, L.D.; funding acquisition L.D. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by grants from the Canadian Institute for Health Research [grant number MOP-229979] and the Natural Sciences and Engineering Research Council of Canada [grant number RGPIN-2019-05027] to L.D. The funding agencies had no role in the design of the study; collection, analysis, and interpretation of data; or in writing the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available in the article and supplementary material.

Acknowledgments

We thank Louise Cournoyer for help with cell culture, Karine Boulay, Bellastrid Doran, and Lionel Condé for technical support, and Rémy Beaujois for useful suggestions. We thank Dre Josée Harel (Département de pathologie et microbiologie, Université de Montréal) for scientific support.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Gookin, S.; Min, M.; Phadke, H.; Chung, M.; Moser, J.; Miller, I.; Carter, D.; Spencer, S.L. A map of protein dynamics during cell-cycle progression and cell-cycle exit. PLoS Biol. 2017, 15, e2003268. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Visconti, R.; Della Monica, R.; Grieco, D. Cell cycle checkpoint in cancer: A therapeutically targetable double-edged sword. J. Exp. Clin. Cancer Res. 2016, 35, 153. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Harper, J.W.; Bennett, E.J. Proteome complexity and the forces that drive proteome imbalance. Nature 2016, 537, 328–338. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Corbett, A.H. Post-transcriptional regulation of gene expression and human disease. Curr. Opin. Cell Biol. 2018, 52, 96–104. [Google Scholar] [CrossRef] [PubMed]
  5. El Hiani, Y.; Egom, E.E.; Dong, X.P. mTOR signalling: Jack-of-all-trades. Biochem Cell Biol 2019, 97, 58–67. [Google Scholar] [CrossRef] [PubMed]
  6. Kontomanolis, E.N.; Koutras, A.; Syllaios, A.; Schizas, D.; Mastoraki, A.; Garmpis, N.; Diakosavvas, M.; Angelou, K.; Tsatsaris, G.; Pagkalos, A.; et al. Role of Oncogenes and Tumor-suppressor Genes in Carcinogenesis: A Review. Anticancer Res. 2020, 40, 6009–6015. [Google Scholar] [CrossRef]
  7. Liu, X.L.; Ding, J.; Meng, L.H. Oncogene-induced senescence: A double edged sword in cancer. Acta Pharmacol. Sin. 2018, 39, 1553–1558. [Google Scholar] [CrossRef]
  8. Jan, R.; Chaudhry, G.E. Understanding Apoptosis and Apoptotic Pathways Targeted Cancer Therapeutics. Adv. Pharm. Bull. 2019, 9, 205–218. [Google Scholar] [CrossRef] [Green Version]
  9. Pistritto, G.; Trisciuoglio, D.; Ceci, C.; Garufi, A.; D’Orazi, G. Apoptosis as anticancer mechanism: Function and dysfunction of its modulators and targeted therapeutic strategies. Aging 2016, 8, 603–619. [Google Scholar] [CrossRef] [Green Version]
  10. Wickham, L.; Duchaine, T.; Luo, M.; Nabi, I.R.; DesGroseillers, L. Mammalian staufen is a double-stranded-RNA- and tubulin-binding protein which localizes to the rough endoplasmic reticulum. Mol. Cell. Biol. 1999, 19, 2220–2230. [Google Scholar] [CrossRef] [Green Version]
  11. Marion, R.M.; Fortes, P.; Beloso, A.; Dotti, C.; Ortin, J. A human sequence homologue of Staufen is an RNA-binding protein that is associated with polysomes and localizes to the rough endoplasmic reticulum. Mol. Cell. Biol. 1999, 19, 2212–2219. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Duchaine, T.; Wang, H.J.; Luo, M.; Steinberg, S.V.; Nabi, I.R.; DesGroseillers, L. A novel murine Staufen isoform modulates the RNA content of Staufen complexes. Mol. Cell. Biol. 2000, 20, 5592–5601. [Google Scholar] [CrossRef] [Green Version]
  13. Bonnet-Magnaval, F.; DesGroseillers, L. The Staufen1-dependent cell cycle regulon or how a misregulated RNA-binding protein leads to cancer. Biol. Rev. Camb. Philos Soc. 2021, 96, 2192–2208. [Google Scholar] [CrossRef] [PubMed]
  14. Furic, L.; Maher-Laporte, M.; DesGroseillers, L. A genome-wide approach identifies distinct but overlapping subsets of cellular mRNAs associated with Staufen1- and Staufen2-containing ribonucleoprotein complexes. RNA 2008, 14, 324–335. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Ricci, E.P.; Kucukural, A.; Cenik, C.; Mercier, B.C.; Singh, G.; Heyer, E.E.; Ashar-Patel, A.; Peng, L.; Moore, M.J. Staufen1 senses overall transcript secondary structure to regulate translation. Nat. Struct. Mol. Biol. 2014, 21, 26–35. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. de Lucas, S.; Oliveros, J.C.; Chagoyen, M.; Ortin, J. Functional signature for the recognition of specific target mRNAs by human Staufen1 protein. Nucleic Acids Res. 2014, 42, 4516–4526. [Google Scholar] [CrossRef]
  17. Sugimoto, Y.; Vigilante, A.; Darbo, E.; Zirra, A.; Militti, C.; D’Ambrogio, A.; Luscombe, N.M.; Ule, J. hiCLIP reveals the in vivo atlas of mRNA secondary structures recognized by Staufen 1. Nature 2015, 519, 491–494. [Google Scholar] [CrossRef] [Green Version]
  18. Zheng, D.; Cho, H.; Wang, W.; Rambout, X.; Tian, B.; Maquat, L.E. 3′READS + RIP defines differential Staufen1 binding to alternative 3′UTR isoforms and reveals structures and sequence motifs influencing binding and polysome association. RNA 2020, 26, 1621–1636. [Google Scholar] [CrossRef]
  19. Sossin, W.S.; DesGroseillers, L. Intracellular trafficking of RNA in neurons. Traffic 2006, 7, 1581–1589. [Google Scholar] [CrossRef] [PubMed]
  20. Kohrmann, M.; Luo, M.; Kaether, C.; DesGroseillers, L.; Dotti, C.G.; Kiebler, M.A. Microtubule-dependent recruitment of Staufen-green fluorescent protein into large RNA-containing granules and subsequent dendritic transport in living hippocampal neurons. Mol. Biol. Cell 1999, 10, 2945–2953. [Google Scholar] [CrossRef]
  21. Ravel-Chapuis, A.; Belanger, G.; Yadava, R.S.; Mahadevan, M.S.; DesGroseillers, L.; Cote, J.; Jasmin, B.J. The RNA-binding protein Staufen1 is increased in DM1 skeletal muscle and promotes alternative pre-mRNA splicing. J. Cell Biol. 2012, 196, 699–712. [Google Scholar] [CrossRef] [PubMed]
  22. Dugre-Brisson, S.; Elvira, G.; Boulay, K.; Chatel-Chaix, L.; Mouland, A.J.; DesGroseillers, L. Interaction of Staufen1 with the 5′ end of mRNA facilitates translation of these RNAs. Nucleic Acids Res. 2005, 33, 4797–4812. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Kim, Y.K.; Furic, L.; Desgroseillers, L.; Maquat, L.E. Mammalian Staufen1 recruits Upf1 to specific mRNA 3′UTRs so as to elicit mRNA decay. Cell 2005, 120, 195–208. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Luo, M.; Duchaine, T.F.; DesGroseillers, L. Molecular mapping of the determinants involved in human Staufen-ribosome association. Biochem. J. 2002, 365, 817–824. [Google Scholar] [CrossRef] [Green Version]
  25. Ramos, H.; Monette, A.; Niu, M.; Barrera, A.; Lopez-Ulloa, B.; Fuentes, Y.; Guizar, P.; Pino, K.; DesGroseillers, L.; Mouland, A.J.; et al. The double-stranded RNA-binding protein, Staufen1, is an IRES-transacting factor regulating HIV-1 cap-independent translation initiation. Nucleic Acids Res. 2021, 50, 411–429. [Google Scholar] [CrossRef]
  26. Sanchez-Carbente, M.; DesGroseillers, L. Understanding the importance of mRNA transport in memory. Prog. Brain Res. 2008, 169, 41–58. [Google Scholar]
  27. Heraud-Farlow, J.E.; Sharangdhar, T.; Li, X.; Pfeifer, P.; Tauber, S.; Orozco, D.; Hoermann, A.; Thomas, S.; Bakosova, A.; Farlow, A.R.; et al. Staufen2 Regulates Neuronal Target RNAs. Cell Rep. 2013, 5, 1511–1518. [Google Scholar] [CrossRef] [Green Version]
  28. Park, E.; Gleghorn, M.L.; Maquat, L.E. Staufen2 functions in Staufen1-mediated mRNA decay by binding to itself and its paralog and promoting UPF1 helicase but not ATPase activity. Proc. Natl. Acad. Sci. USA 2013, 110, 405–412. [Google Scholar] [CrossRef] [Green Version]
  29. Almasi, S.; Jasmin, B.J. The multifunctional RNA-binding protein Staufen1: An emerging regulator of oncogenesis through its various roles in key cellular events. Cell Mol. Life Sci. 2021, 78, 7145–7160. [Google Scholar] [CrossRef]
  30. Luo, W.; Slebos, R.J.; Hill, S.; Li, M.; Brabek, J.; Amanchy, R.; Chaerkady, R.; Pandey, A.; Ham, A.J.; Hanks, S.K. Global impact of oncogenic Src on a phosphotyrosine proteome. J. Proteome Res. 2008, 7, 3447–3460. [Google Scholar] [CrossRef] [Green Version]
  31. Ghram, M.; Bonnet-Magnaval, F.; Hotea, D.I.; Doran, B.; Ly, S.; DesGroseillers, L. Staufen1 is Essential for Cell-Cycle Transitions and Cell Proliferation Via the Control of E2F1 Expression. J. Mol. Biol. 2020, 432, 3881–3897. [Google Scholar] [CrossRef] [PubMed]
  32. Lu, J.; Liu, X.; Zheng, J.; Song, J.; Liu, Y.; Ruan, X.; Shen, S.; Shao, L.; Yang, C.; Wang, D.; et al. Lin28A promotes IRF6-regulated aerobic glycolysis in glioma cells by stabilizing SNHG14. Cell Death Dis 2020, 11, 447. [Google Scholar] [CrossRef] [PubMed]
  33. Ruan, X.; Zheng, J.; Liu, X.; Liu, Y.; Liu, L.; Ma, J.; He, Q.; Yang, C.; Wang, D.; Cai, H.; et al. lncRNA LINC00665 Stabilized by TAF15 Impeded the Malignant Biological Behaviors of Glioma Cells via STAU1-Mediated mRNA Degradation. Mol. Ther. Nucleic Acids 2020, 20, 823–840. [Google Scholar] [CrossRef] [PubMed]
  34. Marcellus, K.A.; Crawford Parks, T.E.; Almasi, S.; Jasmin, B.J. Distinct roles for the RNA-binding protein Staufen1 in prostate cancer. BMC Cancer 2021, 21, 120. [Google Scholar] [CrossRef]
  35. Uhlen, M.; Zhang, C.; Lee, S.; Sjostedt, E.; Fagerberg, L.; Bidkhori, G.; Benfeitas, R.; Arif, M.; Liu, Z.; Edfors, F.; et al. A pathology atlas of the human cancer transcriptome. Science 2017, 357, 2507. [Google Scholar] [CrossRef] [Green Version]
  36. Jing, F.; Ruan, X.; Liu, X.; Yang, C.; Wang, D.; Zheng, J.; Xue, Y.; Shen, S.; Shao, L.; Yang, Y.; et al. The PABPC5/HCG15/ZNF331 Feedback Loop Regulates Vasculogenic Mimicry of Glioma via STAU1-Mediated mRNA Decay. Mol. Ther. Oncolytics 2020, 17, 216–231. [Google Scholar] [CrossRef]
  37. Wang, K.; Li, Y.; Wang, J.; Chen, R.; Li, J. A novel 12-gene signature as independent prognostic model in stage IA and IB lung squamous cell carcinoma patients. Clin. Transl. Oncol. 2021, 23, 2368–2381. [Google Scholar] [CrossRef]
  38. Gyorffy, B.; Surowiak, P.; Budczies, J.; Lanczky, A. Online survival analysis software to assess the prognostic value of biomarkers using transcriptomic data in non-small-cell lung cancer. PLoS ONE 2013, 8, e82241. [Google Scholar] [CrossRef] [Green Version]
  39. Nagy, A.; Lanczky, A.; Menyhart, O.; Gyorffy, B. Validation of miRNA prognostic power in hepatocellular carcinoma using expression data of independent datasets. Sci. Rep. 2018, 8, 9227. [Google Scholar] [CrossRef]
  40. Bonnet-Magnaval, F.; Diallo, L.H.; Brunchault, V.; Laugero, N.; Morfoisse, F.; David, F.; Roussel, E.; Nougue, M.; Zamora, A.; Marchaud, E.; et al. High Level of Staufen1 Expression Confers Longer Recurrence Free Survival to Non-Small Cell Lung Cancer Patients by Promoting THBS1 mRNA Degradation. Int. J. Mol. Sci. 2021, 23, 215. [Google Scholar] [CrossRef]
  41. Boulay, K.; Ghram, M.; Viranaicken, W.; Trepanier, V.; Mollet, S.; Frechina, C.; DesGroseillers, L. Cell cycle-dependent regulation of the RNA-binding protein Staufen1. Nucleic Acids Res. 2014, 42, 7867–7883. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Damas, N.D.; Marcatti, M.; Come, C.; Christensen, L.L.; Nielsen, M.M.; Baumgartner, R.; Gylling, H.M.; Maglieri, G.; Rundsten, C.F.; Seemann, S.E.; et al. SNHG5 promotes colorectal cancer cell survival by counteracting STAU1-mediated mRNA destabilization. Nat. Commun. 2016, 7, 13875. [Google Scholar] [CrossRef] [PubMed]
  43. Sakurai, M.; Shiromoto, Y.; Ota, H.; Song, C.Z.; Kossenkov, A.V.; Wickramasinghe, J.; Showe, L.C.; Skordalakes, E.; Tang, H.Y.; Speicher, D.W.; et al. ADAR1 controls apoptosis of stressed cells by inhibiting Staufen1-mediated mRNA decay. Nat. Struct. Mol. Biol. 2017, 24, 534–543. [Google Scholar] [CrossRef] [PubMed]
  44. Gandelman, M.; Dansithong, W.; Figueroa, K.P.; Paul, S.; Scoles, D.R.; Pulst, S.M. Staufen 1 amplifies proapoptotic activation of the unfolded protein response. Cell Death Differ. 2020, 27, 2942–2951. [Google Scholar] [CrossRef]
  45. Su, R.; Ma, J.; Zheng, J.; Liu, X.; Liu, Y.; Ruan, X.; Shen, S.; Yang, C.; Wang, D.; Cai, H.; et al. PABPC1-induced stabilization of BDNF-AS inhibits malignant progression of glioblastoma cells through STAU1-mediated decay. Cell Death Dis. 2020, 11, 81. [Google Scholar] [CrossRef]
  46. Hassine, S.; Bonnet-Magnaval, F.; Benoit Bouvrette, L.P.; Doran, B.; Ghram, M.; Bouthillette, M.; Lecuyer, E.; DesGroseillers, L. Staufen1 localizes to the mitotic spindle and controls the localization of RNA populations to the spindle. J. Cell Sci. 2020, 133, jcs247155. [Google Scholar] [CrossRef]
  47. Martel, C.; Dugre-Brisson, S.; Boulay, K.; Breton, B.; Lapointe, G.; Armando, S.; Trepanier, V.; Duchaine, T.; Bouvier, M.; Desgroseillers, L. Multimerization of Staufen1 in live cells. RNA 2010, 16, 585–597. [Google Scholar] [CrossRef] [Green Version]
  48. Gleghorn, M.L.; Gong, C.; Kielkopf, C.L.; Maquat, L.E. Staufen1 dimerizes through a conserved motif and a degenerate dsRNA-binding domain to promote mRNA decay. Nat. Struct. Mol. Biol. 2013, 20, 515–524. [Google Scholar] [CrossRef] [Green Version]
  49. Cicenas, J.; Zalyte, E.; Bairoch, A.; Gaudet, P. Kinases and Cancer. Cancers 2018, 10, 63. [Google Scholar] [CrossRef] [Green Version]
  50. Bhullar, K.S.; Lagaron, N.O.; McGowan, E.M.; Parmar, I.; Jha, A.; Hubbard, B.P.; Rupasinghe, H.P.V. Kinase-targeted cancer therapies: Progress, challenges and future directions. Mol. Cancer 2018, 17, 48. [Google Scholar] [CrossRef]
  51. Rao, S.; Hassine, S.; Monette, A.; Amorim, R.; DesGroseillers, L.; Mouland, A.J. HIV-1 requires Staufen1 to dissociate stress granules and to produce infectious viral particles. RNA 2019, 25, 727–736. [Google Scholar] [CrossRef] [PubMed]
  52. Paul, S.; Dansithong, W.; Figueroa, K.P.; Scoles, D.R.; Pulst, S.M. Staufen1 links RNA stress granules and autophagy in a model of neurodegeneration. Nat. Commun. 2018, 9, 3648. [Google Scholar] [CrossRef] [PubMed]
  53. Thomas, M.G.; Tosar, L.J.; Desbats, M.A.; Leishman, C.C.; Boccaccio, G.L. Mammalian Staufen 1 is recruited to stress granules and impairs their assembly. J. Cell Sci. 2009, 122, 563–573. [Google Scholar] [CrossRef] [PubMed] [Green Version]
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Figure 1. STAU1 expression induces apoptosis in transformed cells. (A) Schematic representation of the protocols used in the experiments shown in (B–F). (B–D) HEK293T cells were transfected with plasmids coding for mCherry or STAU155-mCherry. Caspase activation (apoptosis) was quantified using the CellEvent-caspase3/7-green kit. Following transfection, time lapse video microscopy (B) was used to quantify apoptosis (C) and mCherry expression (D) over 36 h. *, p-value ≤ 0.05; **, p-value ≤ 0.01; ***, p-value ≤ 0.001. NS, not significant. A western blot showed that STAU155-mCherry and mCherry were expressed soon after transfection (D). Endo STAU155, endogenous STAU155. (E,F) At 24 h post-transfection, cells were washed to remove dead cells and incubated in the presence of the CellEvent-caspase3/7-green kit for an additional 12 h. (E) Pictures taken 24 h post-transfection showing mCherry-expressing and apoptotic cells (left) and the quantification of apoptotic cells (right). (F) The quantification of apoptosis and mCherry expression at 36 h.
Figure 1. STAU1 expression induces apoptosis in transformed cells. (A) Schematic representation of the protocols used in the experiments shown in (B–F). (B–D) HEK293T cells were transfected with plasmids coding for mCherry or STAU155-mCherry. Caspase activation (apoptosis) was quantified using the CellEvent-caspase3/7-green kit. Following transfection, time lapse video microscopy (B) was used to quantify apoptosis (C) and mCherry expression (D) over 36 h. *, p-value ≤ 0.05; **, p-value ≤ 0.01; ***, p-value ≤ 0.001. NS, not significant. A western blot showed that STAU155-mCherry and mCherry were expressed soon after transfection (D). Endo STAU155, endogenous STAU155. (E,F) At 24 h post-transfection, cells were washed to remove dead cells and incubated in the presence of the CellEvent-caspase3/7-green kit for an additional 12 h. (E) Pictures taken 24 h post-transfection showing mCherry-expressing and apoptotic cells (left) and the quantification of apoptotic cells (right). (F) The quantification of apoptosis and mCherry expression at 36 h.
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Figure 2. A molecular determinant that controls cell proliferation is present within amino acids 18 and 25. (A) Schematic representation of STAU155 and STAU155 mutants with progressive deletion in the first 88 amino acids at the N-terminal end of STAU155. RBD, RNA-binding domain; TBD, tubulin-binding domain. White boxes, domain with RNA-binding activity; grey boxes, RNA-binding consensus sequence lacking RNA-binding activity; black boxes, tubulin-binding domain. Δx, deletion of x amino acids at the N-terminal end of STAU155. (B) Plasmids coding for STAU155 and STAU155 mutants were transfected in HEK293T cells. At 24 h post-transfection, cells were trypsinized, plated at the same density, and allowed to grow for three days. Expression of the proteins was visualized by western blotting. The blots are representative of three independent experiments that gave similar results. (C) Cell proliferation using growth curve assays was quantified over three days. The graph represents the means and standard deviations of three independently performed experiments. ***, p-value ≤ 0.001 (Tukey’s multiple comparisons ANOVA test).
Figure 2. A molecular determinant that controls cell proliferation is present within amino acids 18 and 25. (A) Schematic representation of STAU155 and STAU155 mutants with progressive deletion in the first 88 amino acids at the N-terminal end of STAU155. RBD, RNA-binding domain; TBD, tubulin-binding domain. White boxes, domain with RNA-binding activity; grey boxes, RNA-binding consensus sequence lacking RNA-binding activity; black boxes, tubulin-binding domain. Δx, deletion of x amino acids at the N-terminal end of STAU155. (B) Plasmids coding for STAU155 and STAU155 mutants were transfected in HEK293T cells. At 24 h post-transfection, cells were trypsinized, plated at the same density, and allowed to grow for three days. Expression of the proteins was visualized by western blotting. The blots are representative of three independent experiments that gave similar results. (C) Cell proliferation using growth curve assays was quantified over three days. The graph represents the means and standard deviations of three independently performed experiments. ***, p-value ≤ 0.001 (Tukey’s multiple comparisons ANOVA test).
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Figure 3. Serine 20 and threonine 21 controls cell proliferation and apoptosis. (A) HEK293T cells were transfected with plasmids coding for STAU155-HA3 or phosphomimetic (S/T/Y to D) and non-phosphorylatable (S/T/Y to A) mutants. The expression of the proteins was visualized by western blotting. The blot is representative of three independently performed experiments that gave similar results. (B–D) Cell proliferation using growth curve assays to monitor the effect of phosphomimetic and non-phosphorylatable mutations on serine 20 (S20) (B), threonine 21 (T21) (C), tyrosine 22 (Y22) (D), and tyrosine 24 (Y24) (E). Transfected cells were trypsinized 24 h post-transfection, plated, and allowed to grow for three days. Each graph represents the means and standard deviations of three independently performed experiments. *, p-value ≤ 0.05; **, p-value ≤ 0.01; ***, p-value ≤ 0.001; ****, p-value ≤ 0.0001 (Tukey’s multiple comparisons ANOVA test). (F) HEK293T cells were transfected with plasmids coding for STAU155-HA3, STAU1S20A-HA3, and STAU1S20D-HA3 and immediately incubated in the presence of the GFP-coupled apoptosis stain. (G) (Left) Quantification of the GFP signal observed in (F). The graph represents the means and standard deviations of three independently performed experiments. ***, p-value ≤ 0.001 (Student t-test). NT, not transfected. (Right) Western blots showing the expression of the proteins used in (F). The blots are representative of three independent experiments that gave similar results. Endo STAU155, endogenous STAU155.
Figure 3. Serine 20 and threonine 21 controls cell proliferation and apoptosis. (A) HEK293T cells were transfected with plasmids coding for STAU155-HA3 or phosphomimetic (S/T/Y to D) and non-phosphorylatable (S/T/Y to A) mutants. The expression of the proteins was visualized by western blotting. The blot is representative of three independently performed experiments that gave similar results. (B–D) Cell proliferation using growth curve assays to monitor the effect of phosphomimetic and non-phosphorylatable mutations on serine 20 (S20) (B), threonine 21 (T21) (C), tyrosine 22 (Y22) (D), and tyrosine 24 (Y24) (E). Transfected cells were trypsinized 24 h post-transfection, plated, and allowed to grow for three days. Each graph represents the means and standard deviations of three independently performed experiments. *, p-value ≤ 0.05; **, p-value ≤ 0.01; ***, p-value ≤ 0.001; ****, p-value ≤ 0.0001 (Tukey’s multiple comparisons ANOVA test). (F) HEK293T cells were transfected with plasmids coding for STAU155-HA3, STAU1S20A-HA3, and STAU1S20D-HA3 and immediately incubated in the presence of the GFP-coupled apoptosis stain. (G) (Left) Quantification of the GFP signal observed in (F). The graph represents the means and standard deviations of three independently performed experiments. ***, p-value ≤ 0.001 (Student t-test). NT, not transfected. (Right) Western blots showing the expression of the proteins used in (F). The blots are representative of three independent experiments that gave similar results. Endo STAU155, endogenous STAU155.
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Figure 4. Expression of the phosphomimetic mutant S20D abrogates STAU155-dependent translation and SMD. (A) Schematic representation of the reporter proteins used in the translation assay. Rluc, Renilla luciferase; SBS, STAU1-binding site. HEK293T cells were co-transfected with plasmids coding for the reporter Rluc or SBS-Rluc proteins and for STAU155 and mutants as indicated. (Left panel) Cell extracts were collected 24 h post-transfection, and the expression of STAU155 proteins was analyzed by western blotting. Endo STAU155, endogenous STAU155. (Right panel) Relative translation of Rluc (R) and SBS-Rluc (S) is shown. The graph represents the means and standard deviations of three independently performed experiments. **, p-value ≤ 0.01; ***, p-value ≤ 0.001. NS, not significant. Translation of Rluc in the presence of the empty vector (EV) was arbitrary fixed to 1. (B) STAU1-KO HCT116 (CR1.3) cells were transfected with plasmids coding for STAU155, STAU155 mutants as indicated, or the empty vector (EV). (Left panel) Expression of the proteins was analyzed by western blotting. (Right panel) RNAs were isolated and ARF mRNA was quantified by RT-qPCR using HPRT and RPL22 mRNAs as normalization controls. The graph represents the means and standard deviations of three independently performed experiments. **, p-value ≤ 0.01; ***, p-value ≤ 0.001. Expression of ARF mRNA in untransfected CR1.3 cells (-) was arbitrary fixed to 1. Untransfected HCT116 cells (-) were used as a reference for SMD.
Figure 4. Expression of the phosphomimetic mutant S20D abrogates STAU155-dependent translation and SMD. (A) Schematic representation of the reporter proteins used in the translation assay. Rluc, Renilla luciferase; SBS, STAU1-binding site. HEK293T cells were co-transfected with plasmids coding for the reporter Rluc or SBS-Rluc proteins and for STAU155 and mutants as indicated. (Left panel) Cell extracts were collected 24 h post-transfection, and the expression of STAU155 proteins was analyzed by western blotting. Endo STAU155, endogenous STAU155. (Right panel) Relative translation of Rluc (R) and SBS-Rluc (S) is shown. The graph represents the means and standard deviations of three independently performed experiments. **, p-value ≤ 0.01; ***, p-value ≤ 0.001. NS, not significant. Translation of Rluc in the presence of the empty vector (EV) was arbitrary fixed to 1. (B) STAU1-KO HCT116 (CR1.3) cells were transfected with plasmids coding for STAU155, STAU155 mutants as indicated, or the empty vector (EV). (Left panel) Expression of the proteins was analyzed by western blotting. (Right panel) RNAs were isolated and ARF mRNA was quantified by RT-qPCR using HPRT and RPL22 mRNAs as normalization controls. The graph represents the means and standard deviations of three independently performed experiments. **, p-value ≤ 0.01; ***, p-value ≤ 0.001. Expression of ARF mRNA in untransfected CR1.3 cells (-) was arbitrary fixed to 1. Untransfected HCT116 cells (-) were used as a reference for SMD.
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Figure 5. RBD2 expression impairs cell proliferation via serine 20. (A) Schematic representation of the expressed proteins. See legend of Figure 2. YFP, yellow fluorescent protein. (B) Cell proliferation assay. Transfected cells were trypsinized 24 h post-transfection, plated, and allowed to grow for four days. The graph represents the means and standard deviations of three independently performed experiments. ****, p-value ≤ 0.0001 (Tukey’s multiple comparisons ANOVA test). Western blots (right panel) showing the expression of the proteins. (C) HEK293T cells were transfected with plasmids coding for STAU155-HA3, STAU1Δ88-HA3, and RBD2-HA3 and were immediately incubated in the presence of the GFP-coupled apoptosis stain. (Left) Quantification of the GFP signal. The graph represents the means and standard deviations of three independently performed experiments. **, p-value ≤ 0.01. ***, p-value ≤ 0.001 (Student t-test). NS, not significant. (Right) Western blots showing the expression of the proteins. The blots are representative of three independent experiments that gave similar results. Endo STAU155, endogenous STAU155. (D) Cell proliferation using growth curve assays was quantified over three days. The graph represents the means and standard deviations of three independently performed experiments. ****, p-value ≤ 0.0001 (Tukey’s multiple comparisons ANOVA test). Western blots (left panel) showing the expression of the proteins.
Figure 5. RBD2 expression impairs cell proliferation via serine 20. (A) Schematic representation of the expressed proteins. See legend of Figure 2. YFP, yellow fluorescent protein. (B) Cell proliferation assay. Transfected cells were trypsinized 24 h post-transfection, plated, and allowed to grow for four days. The graph represents the means and standard deviations of three independently performed experiments. ****, p-value ≤ 0.0001 (Tukey’s multiple comparisons ANOVA test). Western blots (right panel) showing the expression of the proteins. (C) HEK293T cells were transfected with plasmids coding for STAU155-HA3, STAU1Δ88-HA3, and RBD2-HA3 and were immediately incubated in the presence of the GFP-coupled apoptosis stain. (Left) Quantification of the GFP signal. The graph represents the means and standard deviations of three independently performed experiments. **, p-value ≤ 0.01. ***, p-value ≤ 0.001 (Student t-test). NS, not significant. (Right) Western blots showing the expression of the proteins. The blots are representative of three independent experiments that gave similar results. Endo STAU155, endogenous STAU155. (D) Cell proliferation using growth curve assays was quantified over three days. The graph represents the means and standard deviations of three independently performed experiments. ****, p-value ≤ 0.0001 (Tukey’s multiple comparisons ANOVA test). Western blots (left panel) showing the expression of the proteins.
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Figure 6. RBD2 expression impairs SMD via interference with endogenous STAU155 functions. (A) HEK293T cells were co-transfected with plasmids coding for the reporter Rluc or SBS-Rluc proteins and for RBD2-YFP or controls (ST155, Δ88) as indicated. (Left panel) Relative translation of Rluc (R) and SBS-Rluc (S) is shown. The graph represents the means and standard deviations of three independently performed experiments. **, p-value ≤ 0.01; ***, p-value ≤ 0.001. NS, not significant. Translation of Rluc in the presence of the empty vector (EV) was arbitrary fixed to 1. (Right panel) Cell extracts were collected 24 h post-transfection, and the expression of STAU155 proteins was analyzed by western blotting. (B) STAU1-KO HCT116 (CR1.3) cells were transfected with plasmids coding for RBD2-HA3 or controls (EV, ST155, Δ88) as indicated. (Left panel) RNAs were isolated, and ARF mRNA was quantified by RT-qPCR using HPRT and RPL22 mRNAs as normalization controls. The graph represents the means and standard deviations of three independently performed experiments. **, p-value ≤ 0.01; ***, p-value ≤ 0.001. The expression of ARF mRNA in CR1.3 cells transfected with empty vector (EV) was arbitrary fixed to 1. (Right panel) The expression of the proteins was analyzed by western blotting. (C) HCT116 cells were transfected with increasing concentrations of plasmids coding for RBD2-HA3 as indicated. (Left panel) RNAs were isolated, and ARF mRNA was quantified as above. *, p-value ≤ 0.05. The expression of ARF mRNA in untransfected STAU1-KO HCT116 (CR1.3) cells was arbitrary fixed to 1. (Right panel) The expression of the proteins was analyzed by western blotting.
Figure 6. RBD2 expression impairs SMD via interference with endogenous STAU155 functions. (A) HEK293T cells were co-transfected with plasmids coding for the reporter Rluc or SBS-Rluc proteins and for RBD2-YFP or controls (ST155, Δ88) as indicated. (Left panel) Relative translation of Rluc (R) and SBS-Rluc (S) is shown. The graph represents the means and standard deviations of three independently performed experiments. **, p-value ≤ 0.01; ***, p-value ≤ 0.001. NS, not significant. Translation of Rluc in the presence of the empty vector (EV) was arbitrary fixed to 1. (Right panel) Cell extracts were collected 24 h post-transfection, and the expression of STAU155 proteins was analyzed by western blotting. (B) STAU1-KO HCT116 (CR1.3) cells were transfected with plasmids coding for RBD2-HA3 or controls (EV, ST155, Δ88) as indicated. (Left panel) RNAs were isolated, and ARF mRNA was quantified by RT-qPCR using HPRT and RPL22 mRNAs as normalization controls. The graph represents the means and standard deviations of three independently performed experiments. **, p-value ≤ 0.01; ***, p-value ≤ 0.001. The expression of ARF mRNA in CR1.3 cells transfected with empty vector (EV) was arbitrary fixed to 1. (Right panel) The expression of the proteins was analyzed by western blotting. (C) HCT116 cells were transfected with increasing concentrations of plasmids coding for RBD2-HA3 as indicated. (Left panel) RNAs were isolated, and ARF mRNA was quantified as above. *, p-value ≤ 0.05. The expression of ARF mRNA in untransfected STAU1-KO HCT116 (CR1.3) cells was arbitrary fixed to 1. (Right panel) The expression of the proteins was analyzed by western blotting.
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Figure 7. Proposed mechanism of STAU155-mediated cell proliferation impairment. STAU155 is a posttranscriptional regulator that controls translation and the SMD of bound mRNAs. Expression of STAU1S20D inhibits both STAU1-mediated translation and decay. Similarly, the expression of RBD2S20D abrogates SMD, but the expression of endogenous STAU155 is required for this phenotype, indicating that RBD2S20D interferes with endogenous STAU155 functions. As a consequence of the misregulation of STAU155-bound mRNAs following STAU1S20D or RBD2S20D expression, cells enter apoptosis or show impaired cell proliferation.
Figure 7. Proposed mechanism of STAU155-mediated cell proliferation impairment. STAU155 is a posttranscriptional regulator that controls translation and the SMD of bound mRNAs. Expression of STAU1S20D inhibits both STAU1-mediated translation and decay. Similarly, the expression of RBD2S20D abrogates SMD, but the expression of endogenous STAU155 is required for this phenotype, indicating that RBD2S20D interferes with endogenous STAU155 functions. As a consequence of the misregulation of STAU155-bound mRNAs following STAU1S20D or RBD2S20D expression, cells enter apoptosis or show impaired cell proliferation.
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Gonzalez Quesada, Y.; Bonnet-Magnaval, F.; DesGroseillers, L. Phosphomimicry on STAU1 Serine 20 Impairs STAU1 Posttranscriptional Functions and Induces Apoptosis in Human Transformed Cells. Int. J. Mol. Sci. 2022, 23, 7344. https://doi.org/10.3390/ijms23137344

AMA Style

Gonzalez Quesada Y, Bonnet-Magnaval F, DesGroseillers L. Phosphomimicry on STAU1 Serine 20 Impairs STAU1 Posttranscriptional Functions and Induces Apoptosis in Human Transformed Cells. International Journal of Molecular Sciences. 2022; 23(13):7344. https://doi.org/10.3390/ijms23137344

Chicago/Turabian Style

Gonzalez Quesada, Yulemi, Florence Bonnet-Magnaval, and Luc DesGroseillers. 2022. "Phosphomimicry on STAU1 Serine 20 Impairs STAU1 Posttranscriptional Functions and Induces Apoptosis in Human Transformed Cells" International Journal of Molecular Sciences 23, no. 13: 7344. https://doi.org/10.3390/ijms23137344

APA Style

Gonzalez Quesada, Y., Bonnet-Magnaval, F., & DesGroseillers, L. (2022). Phosphomimicry on STAU1 Serine 20 Impairs STAU1 Posttranscriptional Functions and Induces Apoptosis in Human Transformed Cells. International Journal of Molecular Sciences, 23(13), 7344. https://doi.org/10.3390/ijms23137344

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