Graphical abstract
Keywords: Disease, Gut microbiota, Medicine, Metabolite, MicroRNA, Mitochondria, Protein-directed RNA switch, Riboswitch, RNA binding protein, Translational control
Abstract
Alteration of RNA structure by environmental signals is a fundamental mechanism of gene regulation. For example, the riboswitch is a noncoding RNA regulatory element that binds a small molecule and causes a structural change in the RNA, thereby regulating transcription, splicing, or translation of an mRNA. The role of riboswitches in metabolite sensing and gene regulation in bacteria and other lower species was reported almost two decades ago, but riboswitches have not yet been discovered in mammals. An analog of the riboswitch, the protein-directed RNA switch (PDRS), has been identified as an important regulatory mechanism of gene expression in mammalian cells. RNA-binding proteins and microRNAs are two major executors of PDRS via their interaction with target transcripts in mammals. These protein-RNA interactions influence cellular functions by integrating environmental signals and intracellular pathways from disparate stimuli to modulate stability or translation of specific mRNAs. The discovery of a riboswitch in eukaryotes that is composed of a single class of thiamine pyrophosphate (TPP) suggests that additional ligand-sensing RNAs may be present to control eukaryotic or mammalian gene expression. In this review, we focus on protein-directed RNA switch mechanisms in mammals. We offer perspectives on the potential discovery of mammalian protein-directed and compound-dependent RNA switches that are related to human disease and medicine.
1. Overall introduction: The riboswitch and mammalian protein-directed RNA switch
Ribonucleic acid (RNA) plays a versatile role in translating genetic codon information from DNA genomes into functional proteins for living organisms. The alteration of RNA structure by environmental signals via the action of riboswitches is recognized as an essential mechanism that regulates gene expression in prokaryotes and eukaryotes [1], [2], [3]. The riboswitch is an RNA regulatory element of a corresponding mRNA. It binds to a small molecule and causes a structural change in the RNA, independent of protein binding, thereby regulating mRNA transcription, splicing, or translation [1]. In general, a riboswitch contains two parts, namely, an RNA “aptamer”, and an “expression platform”. The RNA “aptamer” is a structural element generally situated in the 5'UTR of the regulated mRNA, and is a biosensor for direct binding of the ligand. Upon ligand binding, this RNA aptamer induces a conformational change immediately downstream, in a region of the RNA called the “expression platform”. This alteration inhibits gene transcription or initiation of the translation of transcripts that encode proteins (synthase or transporter), which regulate the concentration of the ligand in the cell [2], [4], [5].
In prokaryotes, about 40 families of riboswitches have been identified that respond to diverse effectors, including coenzymes, nucleotide derivatives, amino acids, and signaling molecules [6]. There are also classes of temperature-, metal-, pH-, and ion-sensing regulatory RNAs [7], [8], [9], [10]. Ligand-sensing RNAs employ diverse mechanisms to interact with the transcriptional or translational machinery to control gene expression [11]. For riboswitches that function at the transcriptional level, effector–RNA binding stabilizes intrinsic terminator or anti-terminator hairpins to inhibit or activate transcription [11]. In prokaryotes, translation initiation requires the small ribosomal subunit to recognize ribosome-binding sites. Riboswitches that work at the translational level function by masking or exposing ribosome-binding sites to repress or activate translation [11].
To date, only one type of riboswitch, thiamine pyrophosphate (TPP), has been reported for eukaryotes, in fungi [12] and plants [13], [14]. In fungi, this riboswitch resides within an intron and modulates alternative splicing, while in plants it is located in the 3′-untranslated region (3′UTR) and regulates alternative polyadenylation and mRNA stability. Hence the current dogma is that riboswitches exist only in bacteria, fungi, and plants [15]. One likely reason is that because bacterial genomes are highly compact, their DNA contains genetic information that is capable of directing the self-regulation of genes, allowing for efficient adaptation to changes in environmental metabolites in order to maintain species survival. An important, long-unanswered question in the field of RNA biology is whether riboswitches exist in mammals [11], [16].
More than a decade has elapsed since the TPP riboswitch sequences were first identified in eukaryotes [17]. The discovery of a single class of riboswitch in eukaryotes suggests that additional ligand-sensing RNAs may be present to control eukaryotic gene expression. Structural changes in noncoding RNAs in vertebrates have been reported in the cationic amino acid transporter-1 (Cat-1) internal ribosome entry site (IRES) in response to amino acid starvation [18]. Changes have also been found in the Apaf1 IRES, which is remodeled for ribosome entry [19]. In addition, an RNA thermosensor has been discovered during heat shock response in mammalian cells [20]. However, in none of these responses has the presence of metabolite-sensing riboswitches been established.
In recent years, compound protein-directed RNA switches (PDRSs) have been recognized as emerging translational regulators of gene expression in complex eukaryotic organisms [21], [22]; these serve as riboswitch analogs and add another layer of complexity to the network of gene regulation. The PDRS is driven by mutually exclusive interactions of two (or more) sets of RNA-binding proteins (RBPs) or their complexes, with the same or adjacent cis-acting RNA elements. The interactions involve either structural remodeling [23] or physical competition [24]. The PDRSs are either structural or linear, each mediated by their specific class of trans-acting regulators. Structural PDRSs involve secondary structure-recognizing RBPs, such as double-stranded RNA-binding proteins (DRBP76, RNA helicases) and the Gamma-interferon Activated Inhibitor of Translation (GAIT) complex [21], [25], [26], whereas linear PDRSs are directed by sequence-specific factors, such as heterogeneous nuclear ribonucleoproteins (hnRNPs) and miRNAs [22], [23].
In one example, PTBP/hnRNP I binds to CU-rich sequence and disrupts the local secondary structure, such as the stem-loop, thereby exposing the RNA to targeting by the miRNA-induced silencing complex [22]. In another example, posttranscriptional modification of N(6)-methyladenosine in mRNAs disrupts the Watson-Crick base pair of A-U and increases the binding affinity of hnRNP C to its target mRNAs [27]. These RNA-protein interactions integrate environmental or intracellular signals from disparate stimulatory conditions to regulate gene expression at the post-transcriptional level and alter cellular function. PDRSs can either inhibit or reversibly activate mRNA translation, depending on the state of environmental stress.
There are well characterized PDRSs in bacteria that have been described in previous reviews [28], [29]. Here, we focus on mammalian protein-directed RNA switch mechanisms and provide perspectives on potential PDRSs and riboswitch-like RNA switches in mammals. We speculate that metabolic enzymes, ribosomes, and pathogenic and pharmacological small molecules drive these hypothetical mammalian RNA switches, which may modulate metabolic homeostasis, disease progression, and beneficial or side effects of drugs.
2. Protein-directed RNA switches in mammals
2.1. hnRNP L-directed RNA switches activate mRNA translation
Transcript-selective translational control is generally mediated by interaction of RNA-binding proteins or complexes and sequence/structural elements in 5′ or 3′UTR of target transcripts [30], [31], [32]. This control mechanism facilitates co-regulation of functionally-related transcripts bearing common elements in a post-transcriptional regulon [33], [34]. Recently, an additional layer of complexity has been recognized in which pairs of elements can act as condition-dependent RNA switches.
Our previous studies have shown that a vascular endothelial growth factor-A (VEGFA) PDRS controls translation of VEGFA mRNA in myeloid cells that respond to hypoxic and inflammatory signals (Fig. 1A). IFN-γ-activated GAIT complex mediated silencing of VEGFA translation [35]. The GAIT complex is assembled by the central RNA-binding protein glutamyl-prolyl-tRNA synthetase (EPRS) [36], [37], ribosome protein L13a (RPL13a), and two regulatory proteins synaptotagmin-binding cytoplasmic RNA interacting protein (NSAP1) and GAPDH [38]. The GAIT-mediated translational repression of VEGFA is overcome during hypoxia [23]. The translation state is regulated by a binary, mutually exclusive conformational switch in the VEGFA mRNA 3′UTR, directed by IFN-γ and hypoxia-dependent binding of the GAIT and hnRNP L (heterogeneous nuclear ribonucleoprotein L)-bearing complexes, respectively [23]. hnRNP L is a CA-rich element (CARE)-binding protein that binds to RNA regions containing nearby CACA, CAUA, or ACAC motifs via RNA recognition motif domains [39]. hnRNP L plays a critical role in nuclear pre-mRNA splicing and cytoplasmic mRNA switching in different cellular compartments [21], [40], [41]. In normoxia, hnRNP L is primarily localized in the nucleus, with a small fraction in the cytoplasm [24]. During hypoxic stress, a substantial amount of hnRNP L is translocated to the cytoplasm upon phosphorylation by the Src kinase and associates with two other RBPs to form the trimeric Hypoxia-Induced hnRNP L-DRBP76-hnRNP A2/B1 (HILDA) complex [21], [42]. The HILDA complex binds to a CARE in the VEGFA mRNA and alters the RNA secondary structure to abolish binding of the GAIT complex to the hypoxia stability region (HSR), thereby activating VEGFA mRNA translation [21], [24] (Fig. 1B). The double-stranded RNA binding protein DRBP76 plays a critical role in disrupting the stem-loop-containing GAIT RNA element and promoting the formation of a long AU-rich double-stranded RNA conformation [21]. Our global bioinformatic analyses have revealed several human transcripts bearing both GAIT- and hnRNP L-binding elements in their 3′UTRs. These, together with the elements in the VEGFA 3′UTR, modulate the translation of a family of mRNAs via PDRS, including VEGFA, DNM1L, and PHF21A among others (Fig. 1B) [42].
Another examplar RNA switch is mediated by hnRNP L and miRNA-induced silencing complex (miRISC) [24]. miRISC generally contains a central RNA binding protein, Argonaute (e.g., Ago2), that binds to a single stranded miRNA. The miRNA acts as a guide RNA for the RISC to recognize and bind complementary mRNA transcript. Once bound, the Argonaute protein catalyzes the cleavage or represses the translation of the target mRNA [43]. In the absence of IFN-γ stimulus in myeloid cells, miR-297-RISC binds to CARE in the HSR of VEGFA mRNA 3′UTR and inhibits translation. Under hypoxic stress, hypoxia-induced cytoplasmic hnRNP L can block miR-297-RISC binding to the CARE in the HSR (Fig. 1) [24].
In addition, we have recently reported several other mRNA transcripts that contain miR-297-dependent, hnRNP L-directed RNA switch elements, including MKLN1, EIF5, and CDK6 [42]. Similarly, miR-297 and hypoxia-activated hnRNP L were shown to regulate translation of diacylglycerol kinase-alpha (DGK-α) mRNA in human glioma cells via the same mechanism reported for the VEGFA mRNA switch, thereby promoting glioblastoma progression [44]. Moreover, translational regulation by hnRNP L via potential competition between hnRNP L and miRNA binding was observed for a cohort of target mRNA 3′UTRs in Hela cells [40]. These findings suggest that hnRNP L-directed human RNA switches are broadly present across multiple cell types.
The VEGFA PDRS represents a founding member of riboswitch-like RNA switches in mammals that respond to physiological or pathological stimuli to control gene expression. Three unique features distinguish it from riboswitches in bacteria: (a) Bacterial riboswitches sense physiological signals by direct binding of the effector molecule, without requiring signal “interpretation” by a regulatory protein. For the human VEGFA PDRS, the sensor and switch mechanisms are protein-mediated [21], [23]. (b) While bacterial riboswitches are located in the 5' leader [1], the VEGFA PDRS is located in the mRNA 3'UTR [21], [23]. (c) The VEGFA PDRS uses a novel switching mechanism to integrate the response to two different physiological stimuli. The VEGFA PDRS is a single RNA with interdependent binding sites in two distinct, ligand-responsive conformational states (Fig. 1B). This multi-input integration of signals is advantageous when an organism is regulating gene expression and maintaining cellular homeostasis in response to combinations of stress signals.
In summary, we have described a multi-protein, multi-element, condition-dependent, conformational switch in the 3′UTR of human VEGFA mRNA among other transcripts – the first vertebrate RNA switch that controls translation. These novel RNA elements will help us understand how pairs (or larger clusters) of RNA elements in noncoding regions of mRNAs, and their cognate interacting proteins, integrate physiological and pathological stimuli to regulate translation in mammalian cells.
2.2. miRNA functions as an RNA decoy to regulate the VEGFA RNA switch
Now that the hnRNP L-dependent PDRSs have been identified, next big question is how are these RNA switches regulated? Based on the molecular mechanisms of the VEGFA RNA switch described above, we believe that regulation of target mRNA translation by hnRNP L-directed PDRS is controlled by five parameters: (a) cell-type- or tissue-specific expression of a spectrum of target mRNAs; (b) cytosolic concentration of a target mRNA under normoxic or hypoxic conditions; (c) cytosolic concentration of hnRNP L, determined by hypoxia-induced cytoplasmic translocation; (d) hnRNP L binding affinity for a target mRNA CARE; and (e) availability of hnRNP L to interact with target mRNAs that could be regulated by “sponging” factors such as miRNAs. Recent findings from multiple laboratories indicate that miRNAs can function as sequence-specific RNA decoys and modulate RBP function via seed sequence-independent interaction with RBPs [45], [46], [47], [48]. Similar RBP-miRNA interactions could conceivably work in the opposite direction, through RBP-mediated inhibition of target miRNA function [47], [49].
Recently, we have elucidated the regulation of the VEGFA mRNA switch by miR-574-3p via interaction with hnRNP L under pathophysiological conditions [47]. We have shown that in normoxia, moderately expressed CA-rich miR-574-3p binds a small amount of cytoplasmic hnRNP L and inhibits the VEGFA mRNA switch (Fig. 1A). We have also demonstrated that hypoxia-induced cytoplasmic hnRNP L binds miR-574-3p and inactivates its tumor-suppressive function by preventing its loading onto the miRISC. The mutual regulation of the activities between miR-574-3p and hnRNP L does not depend on the 5′ terminal seed sequence, but the CA-rich sequence of “CACACACCCACA” in the 3′ end of the miRNA. Intriguingly, miR-574-3p is stable when bound by hnRNP L and unassociated with Ago2, suggesting that hnRNP L may protect miR-574-3p from miRNA decay pathways such as Tudor-SN-mediated endonucleolytic cleavage at CA and UA dinucleotides in miRNAs [50]. Finally, as a potential therapeutic approach, we have shown that in hypoxia, overexpressed miR-574-3p acts as a decoy for hnRNP L, reverses the VEGFA mRNA switch, and inhibits cancer cell growth in a xenograft mouse tumor model. Together, these findings establish for the first time a condition-dependent two-way regulation based on miRNA-RBP interaction and provide a proof-of-principle rationale for developing miRNA-based, hnRNP L-targeted therapeutic strategies against cancer [51], [52].
2.3. hnRNP E2-mediated CEBPA RNA switch silences mRNA translation
In addition to hnRNP L-directed RNA switches that activate mRNA translation, another hnRNP-mediated RNA switch mechanism has been reported to silence mRNA translation during the differentiation process of myeloid progenitor cells (Fig. 2A) [45]. A poly(rC)-binding protein, hnRNP E2, typically binds to a cytosine (C)-rich cis-acting RNA element (CUCCCCC) located between an upstream open reading frame (uORF) and the main ORF in the 5′UTR of the target mRNA, CEBPA (CCAAT enhancer binding protein alpha). This interaction may block scanning of the 43S pre-initiation complex through the 5′UTR, prevent the formation of a mature ribosome, and repress mRNA translation. An abundantly expressed, C-rich miR-328 acts as an RNA decoy to bind and capture hnRNP E2. The formation of miR-328-hnRNP E2 complex releases hnRNP E2 from the 5′UTR C-rich RNA element in CEBPA mRNA, thereby restoring the translation of CEBPA and driving myeloid cell differentiation. In contrast, loss or reduction of miR-328 expression in blast crisis chronic myelogenous leukemia permits hnRNP E2-mediated translational silencing of CEBPA mRNA, blocks myeloid cell differentiation, and leads to oncogenic growth of blood cells.
Putting these findings together, we think that miRNAs not only act as a ligand to directly participate in the PDRS (e.g., miR-297), but also can bind and inactivate RBPs to regulate PDRS (e.g., miR-574-3p and miR-328). In the future, it will be interesting to test whether two or more miRNAs could synergistically conduct or regulate PDRS, and whether manipulating concentrations of those miRNAs could modulate RNA switches and reverse pathogenic phenotypes in vivo.
2.4. PTBP-directed RNA switches regulate miRISC activation and mRNA destabilization
In contrast with the role of miRNAs in sponging RBPs and regulating RNA switches, RBPs have been shown to inhibit or promote the activity of miRNAs and the stability of their target mRNAs. Polypyrimidine tract binding protein PTBP (also known as PTB or hnRNP I) is well-characterized as a splicing repressor through binding to CU-rich elements in mRNA precursors [53], [54]. In addition to regulating splicing, PTBP protein has also been reported to regulate mRNA stability under different physiological conditions [55], [56], [57]. One possible molecular mechanism is the PTBP-mediated RNA structural change that increases the accessibility of other RNA binding factors such as miRNAs (Fig. 2B). For instance, PTBP cooperates with miR-221 to regulate the translation of AdipoR1 (Adiponectin receptor protein 1) mRNA during muscle differentiation and in obesity [58]. PTBP and miR-221 bind to two adjacent regions in AdipoR1 mRNA 3′UTR. These two binding sites form a double-stranded stem-loop structure in the absence of PTBP and miR-221. PTBP binding destroys the stem-loop structure and facilitates a linear RNA conformation, thus allowing miR-221-RISC to bind to its target site and inhibit the translation of AdipoR1 mRNA [58]. We term this RNA structural change as a miRNA-dependent, PTBP-directed RNA switch.
Another example of this type of RNA switch is driven by PTBP for maintenance of specific cell lineages [22]. PTBP competes directly with miR-124 to bind the 3′UTR of its target mRNAs synaptonemal complex protein 1 (SCP1) and REST corepressor (CoREST), whose encoded proteins play essential roles in preventing fibroblast-to-neuron transition [59], [60]. These two proteins are components of the REST (RE1-silencing transcription factor) complex and repress the expression of a large number of neuronal genes. In addition, PTBP promotes the activities of some miRNAs on target mRNAs through binding to the adjacent sequence of miRNA targeting sites and changing the local secondary structure to facilitate miRNA binding, e.g., let-7b and miR-181b binding to their common target mRNA glucosamine-6-phosphate deaminase 1 (GNPDA1) [22]. Intriguingly, knockdown of a single RBP, PTBP, or in combination with a second RBP, nPTB (neural PTB), drives trans-differentiation of fibroblasts to functional neurons in vitro [22], [61].
Taken together, these two studies suggest that PTBP exerts its non-splicing regulatory function to regulate miRISC activity in cytoplasm under different pathophysiological conditions. Furthermore, PTBP-dependent PDRS provides a molecular model for understanding co-regulation between different RNA-binding proteins and miRNAs. It has been observed that a large number of miRNAs are localized in the nucleus [62]. Thus, it remains an open question whether PTBP drives an RNA switch in the nucleus and regulates alternative splicing by influencing potential miRNA-dependent binding of precursor mRNAs.
2.5. Nucleic acid modification promotes RNA switch to modulate alternative splicing and mRNA stabilization
An emerging nucleic acid modification that activates the RNA switch is N(6)-methyladenosine (m6A) RNA methylation (Fig. 2C), which is one of the universally prevalent RNA modifications present in eukaryotic mRNA, tRNA, rRNA, and snRNA, as well as some long, non-coding RNAs (lncRNA) [63], [64], [65]. The m6A modification is directed at RRACH (R = G/A, H = U/A/C) motifs by a methyltransferase complex bearing METTL3 and METTL14 (m6A writers) [66]. As a dynamic and reversible modification, m6A methylation can be removed by two major demethylases: fat mass and obesity-associated protein (FTO) and alkB homolog 5 (ALKBH5) [67], [68]. This m6A modification regulates RNA stability, splicing, export, and translation efficiency [69], [70]. m6A is commonly believed to function by interacting with YTH-domain-containing proteins (m6A readers) [69].
m6A modification, in addition to being recognized directly by m6A reader proteins, has also been shown to mediate RNA-protein interactions. It increases the accessibility of its surrounding RNA sequences through altering local RNA secondary structures, a process termed m6A-directed RNA switch or m6A switch [27]. m6A modification was found to mediate interactions between heterogeneous nuclear ribonucleoprotein C (hnRNP C), an RNA binding protein that facilitates mRNA processing, and a U5-containing hairpin present in a lncRNA, namely, metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) [27], [71]. In this case, m6A modification at position A2577 inside an “AGG” sequence weakens its base pairing with the third U in the opposite U5-tract inside the stem-loop hairpin. Thus, the first three Us in the U5-tract become more accessible to hnRNP C, which leads to an eightfold increase in the hnRNP C binding affinity [27]. By using a combination of anti-m6A immunoprecipitation (MeRIP)-Seq and photoactivatable-ribonucleoside-enhanced crosslinking and immunoprecipitation (PAR-CLIP) in normal and global m6A reduction conditions, the authors identified around 2800 high-confidence m6A-dependent RNA switches in hnRNP C-binding RNAs [27]. Further biochemical and biophysical analyses using Förster resonance energy transfer and nuclear magnetic resonance demonstrate that m6A destabilizes the U5-tract of the stem-loop and converts the structure of an m6A-containing hairpin towards the induced conformation in the hnRNP C–RNA complex [71]. Gene expression analyses suggest that the m6A RNA switch and hnRNP C binding activity regulate mRNA splicing, maturation, and stability. This mechanism was uncovered in a model cell system HEK293T human embryonic kidney cell line, but may be generalizable to other cell types. Besides hnRNP C, another m6A-directed RNA switch has also been found to mediate interactions between a purine-rich secondary structure in MALAT1 and low-complexity Arg-Gly-Gly repeats of hnRNP G [72]. The consensus motif for hnRNP G-binding target RNAs, AGRAC (R = A/G), partially overlaps with the classical m6A motif.
Collectively, these studies suggest that the m6A modification-dependent RNA conformational switch may be a universal molecular mechanism to modulate the accessibility of RBPs to specific RNA and influence their function. Further investigations should explore whether other RBP-mediated RNA switches are regulated by m6A or other modified nucleic acids (e.g., m5C) [73].
2.6. Ded1p/DDX3 mediates RNA switches for initiation codon selection
An 5′ upstream ORF (5′ uORF) is defined as an open reading frame located in 5′UTR of mRNAs and out-of-frame with the main coding sequence. In general, translation of 5′ uORF reduces the protein expression of the downstream main ORF (mORF) [74]. To date, the trans-acting factors have not been well characterized during the regulation of the translation of uORF and mORF.
Previous studies have shown that the presence of a secondary structure downstream of an alternative AUG or a near-cognate initiation codon facilitates alternative translation initiation at uORF [75]. More recent experiments confirmed this observation in vivo in yeast [76]. The DEAD-box RNA helicase Ded1p, the yeast homolog of mammalian DDX3, is known to participate in RNA processing and translation regulation. Dr. Jankowsky’s laboratory has shown that introduction of a T408I mutation in the yeast Ded1p protein abolishes its unwinding activity. Then by using ribosome profiling together with dimethyl sulfate mutational profiling with sequencing (DMS-MaPseq), they were able to show more ribosomal stalling upstream of RNA secondary structures in the 5′UTR of mRNAs in the presence of the T408I mutant helicase, compared to the wild-type protein. Subsequently, translation initiation occurred at alternative upstream translation initiation sites [76] (Fig. 2D). They also highlight that during meiosis, Ded1p expression decreases during anaphase II relative to the vegetative state, modulating translation initiation and indicating a potential role for this mechanism in vivo. They raise an intriguing question of whether this mechanism could be used by the eukaryotic cell as a riboswitch-like mechanism. This question was motivated by the findings that Ded1p/DDX3 switches between repression and initiation of translation, by either the formation of mRNP granules or their resolution, followed by translational activation upon Ded1p/DDX3-mediated ATP hydrolysis [77]. In addition, Ded1p/DDX3 and other RNA helicases could sense ATP depletion through the elevated levels of AMP, which abrogates their RNA binding and unwinding ability [78].
In summary, Ded1p/DDX3 unwinds RNA secondary structures in 5′UTR of mRNAs and controls translation initiation codon selection, thereby extending the N-terminal sequence of a large number of proteins. In the future, the function and mechanism of action of DDX3 protein in remodeling 5′UTR local secondary structure and regulating translation initiation codon selection need to be studied in mammals, compared to yeast.
3. Perspective on the potential discovery of human protein- and chemical compound-dependent RNA switches
The current strategy to discover bacterial riboswitches has relied on bioinformatic predictions based on sequence and structure conservation. Many laboratories have searched computationally for bacterial riboswitch sequences in the human genome without a productive outcome, possibly because the riboswitch function in bacteria has no corollary in humans. If there are human riboswitch-like RNA switches, such as an ATP sensor, they are likely to be different in sequence and structure from switches in lower order species. The challenge is to shift this paradigm by establishing proof that riboswitch-like RNA aptamers are present in mammals, including humans, where they function in both healthy and disease states.
Dr. Luptak’s laboratory used bioinformatic predictions and in vitro systematic evolution of ligands by exponential enrichment (SELEX) to identify human ATP-dependent RNA aptamers as components of putative riboswitches [79], [80]. However, these have not been studied in cells, and they are buried deep inside intronic regions of several pre-mRNAs whose mRNAs and encoded proteins have no apparent functional relationship with ATP. These factors confound the significance of Luptak’s finding and its generalizability to mammals. Besides, a mammalian RNA thermosensor has been reported from Dr. Nudler’s laboratory [20]. Shamovsky et al. discovered that heat-shock transcription factor 1 (HSF1) activation during heat shock stress was mediated by a unique ribonucleoprotein complex containing a non-coding RNA heat shock RNA-1 (HSR1) and an eukaryotic translation elongation factor eEF1A1. A conformational switch occurs in HSR1 in response to heat shock (43 °C) and is required for enhanced interaction with eEF1A1 and HSF1 activation. However, the molecular mechanism of the HSR1 RNA structural change has not been elaborated [81], including the role of eEF1A1 binding or temperature change in the HSR1 conformational switch, and information about the structural switch in the two identified 5′ terminal domains of HSR1 [20].
Based on the two examples just discussed, we think that more riboswitch-like protein-dependent or even small compound-dependent RNA switches may exist in mammals. Specific structures of potential mammalian RNA switches will “switch” upon binding to a regulatory molecule, such as an RNA-binding protein/complex, a natural metabolite, or a medicinal chemical compound. The structural remodeling in human RNA switches may alter noncoding RNA functions (e.g., mRNA UTR, lncRNA), mRNA stability, or translatability, leading to gene regulation and pathophysiological consequences. We speculate that there will be four types of RNA switches in humans (Fig. 3). We will discuss in detail the rationale for each and possible directions for future research.
3.1. Potential RNA switches in mammals mediated by RNA-binding, metabolic enzymes
PDRSs in bacteria, such as the PyrR regulator RNA/protein complex, are well-characterized. PyrR protein is a transcriptional repressor of the pyr operon with uracil phosphoribosyltransferase enzymatic activity. The interaction of PyrR with nucleotide metabolites UMP/UTP determines whether it interacts with a structured RNA regulator in the pyr 5′-leader region and stabilizes the conformation of an antiantiterminator stem-loop [29]. For mammalian cells, Dr. Hentz’s laboratory has identified a large number of metabolic enzymes that serve as mRNA-binding proteins via mRNA interactome capture [82], [83], [84]. EPRS is a well-established mRNA-binding metabolic enzyme, as confirmed by these high throughput proteomic screens. Proof-of-principle supporting evidence for this type of RNA-binding, metabolic enzyme-mediated, RNA switch comes from the GAIT and HILDA complex-mediated VEGFA RNA switch, described in the first section (Fig. 1) [21], [23]. The moonlighting mRNA-binding function of EPRS in the GAIT complex maintains the off switch of VEGFA mRNA translation, while hnRNP L in the HILDA complex activates the VEGFA mRNA translation through the RNA structural switch. Many genes encoding RNA-binding metabolic enzymes have been identified as genes containing genetic mutations that contribute to the pathogenesis in specific human diseases [85]. However, the relation between the RNA-binding ability of these mutated enzymes and pathogenic mechanisms is not fully understood.
In all eukaryotic organisms mitochondrial RNA metabolism is a critical process for synthesizing the component proteins of the respiratory electron transport chain (ETC) complex. mRNA interactome capture, followed by mass spectrometry analysis, has identified a group of noncanonical RBPs in the FAS-activated serine/threonine kinase (FASTK) family of proteins [86]. Among those RBPs, FASTKD2 interacts with select mitochondrial transcripts such as 16S rRNA (RNR2) and NADH dehydrogenase subunit 6 (ND6) mRNA. Genetic deletion of FASTKD2 using CRISPR-Cas9 technology causes abnormal maturation and expression of RNR2 rRNA and ND6 mRNA, and consequently, a dysfunctional ETC complex that compromises mitochondrial activity. However, the molecular mechanism is still unclear. We expect that more metabolic enzymes from different cellular compartments will be uncovered to function as new RBPs that contain noncanonical RNA-binding domains. These enzymes may bind to specific mRNAs and regulate their translation, such as adenosine kinase (ADK, localized in nucleus or cytoplasm) and aldolase A (ALDOA, localized in the cytoplasm) (Fig. 3) [87]. It is possible that these enzymes may bind to mRNAs that encode proteins in related metabolic pathways, thereby regulating their translation and cell metabolism. Enzyme binding to their target mRNA(s) could depend on the binding of their substrates (e.g., adenosine or ATP, and fructose 1,6-bisphosphate, for ADK and ALDOA, respectively) or product metabolites (e.g., AMP, and glyceraldehyde 3-phosphate, respectively), as suggested previously [87].
This possible new type of metabolic enzyme-mediated RNA aptamer may be a part of a PDRS if a structural rearrangement or a conformational switch occurs. As another example, isocitrate dehydrogenases (including IDH1, IDH2, and IDH3A) have been reported to be RNA-binding proteins in mouse cardiomyocyte cells [83], but their specific RNA targets in cells and regulatory function in RNA metabolism have not been identified (Fig. 3). CLIP-Seq (crosslinking and ribonucleoprotein immunoprecipitation coupled with RNA-Seq) or RIP (ribonucleoprotein IP)-Seq can be performed to determine the mRNA-binding sites of these enzymes and develop an enzyme–RNA interaction atlas. Based on this atlas, one can examine whether the enzyme interacts with specific transcripts via structural binding motifs and whether this interaction will be modulated by other RBPs or miRNAs as a potential RNA switch mechanism. We anticipate that manipulating the expression level of either enzyme, its substrate(s), or product metabolites will regulate metabolism-related gene expression. These studies may provide new insights into a preventive and therapeutic intervention for the treatment of metabolic syndromes.
3.2. Potential ribosome-dependent RNA switch in mitochondria of mammalian cells
Dr. Ronald Breaker suggested that potential physiological human riboswitch-like RNA switches, if they exist, may be found for second messengers and other cellular signaling compounds, rather than for common metabolites, such as ATP [15]. In bacteria, the virulence mRNA in Salmonella is an ATP-sensing riboswitch under acidic pH conditions [88]. Another example is the orphan ydaO RNA motif, which is a well-established cyclic di-AMP-sensing riboswitch that also weakly binds ATP [89]. Numerous RNA regulators of ribosomal proteins are also known in the bacterial genome [28]. Presumably, mitochondria have a highly reduced DNA genome that is likely to lose riboswitch elements compared to their ancestor alpha-proteobacteria. However, purine riboswitches and several ribosomal protein regulators are preserved in the reduced genomes of some symbiotic bacteria [90]. Therefore, we cannot rule out the possibility that mitochondrial mRNAs may still contain potential remnants of cis-acting RNA elements to regulate translation efficiency, dependent on either specific RNA-binding proteins or ribosomes. Mitochondria produce the majority of ATP for conducting cellular functions, and the ATP level needs to be fine-controlled. In yeast, mRNAs of mitochondrial-encoded genes (MEGs) contain 5′UTRs, and many regulatory proteins bind to the 5′UTR to modulate MEG translation and ATP production [91], [92]. In contrast, the mammalian mitochondrial genome is a short and compact circular DNA molecule, with either extremely small or no untranslated regions, that encodes for only 13 coding genes and 24 noncoding genes. The 13 coding genes include components of the ETC, such as subunits of NADH dehydrogenase (Complex I), CoQH2-cytochrome c reductase (Complex III), cytochrome c oxidase (Complex IV), and ATP synthase (Complex V). Mammalian mitochondria also lack the homologs of translational regulators that bind to 5′UTR of MEG mRNAs in yeast. So, what is the mechanism for translational control of MEGs in mammalian mitochondria?
A peculiar feature for two gene pairs, ATP8/ATP6 (two MEGs encoding Complex V constituents of the ETC complex) and ND4L/ND4 (two MEGs encoding Complex I constituents of the ETC complex), is that their genes overlap, resulting in a bicistronic transcript with no UTRs. For the former, transcription starts from the upstream gene, ATP8, covering the overlapping region between the two genes, and stopping at the end of a downstream gene, ATP6. This process yields one long mRNA molecule that is eventually translated into two different proteins [78] (Fig. 3, Fig. 4). The underlying reason for this phenomenon is not apparent. The stoichiometric ratio between ATP8 and ATP6 needs to be tightly controlled to enable assembly of F0 complex and functional Complex V without producing idle component proteins that could cause mitochondrial unfolded protein stress [93]. The exact mechanism for coupling of the translation of ATP8 and ATP6 is still unknown. One possible clue lies in the overlapping region between the ATP8 and ATP6 genes.
The TurboFold algorithm integrates multiple sequence alignment results from a group of homologous sequences with nearest neighbor base pairing thermodynamics, to predict most probable RNA secondary structures [94]. Running this algorithm on human, chimpanzee, mouse, and sheep sequences of ATP8 shows a putative hairpin loop that starts almost around the ATP6 start codon AUG (Fig. S1). This same predicted hairpin appears in many of the sequences applied from other mammalian species (not shown). For instance, an overlapped 46-nt RNA region is present in the coding sequence of the human MT-ATP8/ATP6 bicistronic mRNA. This region is located in ATP6, beginning with AUG start codon, and ATP8 ending with UAG stop codon with +1 nt frameshift. The 46-nt RNA region may form a stem-loop structure (mfold web server) [95] containing a 6-nt loop, a 9-bp stem, and a single C bulge. The structure is consistent with the prediction from the TurboFold algorithm (Fig. 4). The mouse RNA aptamer contains two wobble base pairs, while the human RNA aptamer contains all nine Watson-Crick base pairs.
We hypothesize that this 46-nt RNA element may contribute to translational regulation of the stoichiometry of ATP8 and ATP6 proteins in a ribosome-dependent manner (Fig. 3). Since mitoribosome and Complex V are close in inner membranes, the 46-nt RNA secondary structure could inhibit ribosome loading and translation initiation for ATP6 by sequestering the AUG start codon. The pioneering ribosome translating ATP8 may unwind the stem-loop structure and allow a second ribosome to translate ATP6 as a coupling mechanism, to ensure the 1:1 stoichiometric ratio of ATP8 and ATP6 (Fig. 4). Therefore, the assembly of F0 complex into Complex V is coordinated to maintain homeostatic ATP production. The stem-loop may re-form after the first ribosome reads through the region and prevents another ribosome from translating ATP6 by masking its initiation codon AUG. It is likely that the mitoribosome acts as an RNA helicase involved in the regulation of translation efficiency of its bound mRNA, in the absence of a counterpart of the cytosolic DDX proteins. We cannot completely rule out the possibility that this ATP8/6 RNA aptamer is bound by a mitochondria-localized RNA-binding protein or a specific mitochondrial metabolite (e.g., ATP) for regulating mRNA translation [96], [97], although the likelihood is low. Intriguingly, multiple SNPs were found located in the stem region within or adjacent to the AUG start codon at the 5′-end of the putative 46-nt RNA aptamer (dbSNP). One synonymous SNP changes AUG to AUA (both are codons for Met in ATP6) and may impair the stability of the stem region by disrupting a G-C Watson-Crick base pair (Fig. 4). This specific SNP could potentially influence the structure and function of the putative human mitochondrial ATP8/6 regulatory RNA switch element. In genome-wide association studies, this type of SNP-mediated RNA-based regulatory mechanism has been found in 5′UTR and 3′UTR of mRNAs and lncRNAs as riboSNitch [98], [99].
3.3. Potential mammalian RNA switches that depend on pathogenic metabolites
Prokaryotic and eukaryotic cells have well-established metabolic sensing systems that are important for cell survival and environmental adaptations [6], [100]. As a complicated integration of trillions of cells, the human body has the multiplex biological buildup of cellular metabolisms across a variety of organs and within multiple cell types in each organ. The metabolic pathways are highly interconnected by refined metabolite-sensing mechanisms to a biological network that comprises a broad spectrum of metabolites, metabolic enzymes, and membrane-bound receptors [100], [101]. It has been documented that among these many macromolecules, RNA plays a critical regulatory role in cell metabolism and environment sensing in response to exogenous metabolites [102], [103], [104]. As one example, aminoglycoside antibiotics isolated from bacteria, such as streptomycin and neomycin, have been proven to specifically target the rRNA aminoacyl A-site of the pathogenic microorganisms in infected human patients [105]. However, it is still unclear whether small chemical compounds in the environment influence the structure and activity of RNA from human cells. The gut microbiota contains more microbial cells than all the human cells in the body and functions as a symbiotic endocrine organ [106], [107], [108]. It produces unique physiologic and pathogenic metabolites that affect host health and may provide the environment to evolve host cell riboswitch-like RNA aptamers activated by a paracrine ligand produced in bacteria. We hypothesize that pathogenic RNA switches could be mediated by metabolites generated from gut microbiota (e.g., trimethylamine N-oxide, chorismic acid, 4EPS) or environmental factors (e.g., nicotine) (Fig. 3). These potential RNA switches may be involved in human disease etiology and pathogenesis.
Dr. Hazen’s laboratory has reported that the metabolite, trimethylamine N-oxide (TMAO), but not its precursor trimethylamine (TMA), triggers cardiovascular disease (CVD) in both mice and humans [106], [109], [110]. Dietary choline (or l-carnitine) from red meat is first converted into TMA by gut microbiota and then oxidized to TMAO by the hepatic enzyme, flavin-containing monooxygenase 3 (FMO3), and excreted into the circulation. Based on several clinical reports, the TMAO level in the circulatory system could be an important clinical biomarker for evaluating a patient’s risk for major adverse cardiovascular events [111], [112]. One recent study reported that plasma TMAO levels could be considered a novel biomarker for plaque rupture in myocardial infarction patients with ST-segment elevation [113]. CD36 and SR-A, two scavenger receptors on the surface of macrophages, bind oxidized low-density lipoprotein (oxLDL) to promote foam-cell formation and atherogenesis. The levels of these receptors are significantly upregulated in macrophages of TMAO-treated mice [106], suggesting that TMAO could serve as a clinical biomarker and therapeutic target for the prevention and treatment of CVD [106], [109], [110]. However, the molecular mechanisms underlying the pathogenic role of TMAO and TMAO-triggered upregulation of CD36 and SR-A remain unresolved.
A high concentration of TMAO is known to stabilize the tertiary structure of tRNAfMet, but does not affect its secondary structure [114]. TMAO also facilitates the formation of the native structure of multiple RNAs, as does Mg2+ [115]. We hypothesize that a pathological level of TMAO (∼100 μM) may induce transcript-specific mRNA structural remodeling in host cells in a paracrine manner, altering the accessibility of miRNAs or RBPs to mRNA 3′UTR (e.g., CD36, SR-A), and thereby modifying the cellular transcriptome or translatome. As a consequence, changes in the translatome landscape may contribute to the progression of multiple CVDs promoted by TMAO (e.g., atherosclerosis, heart failure). It has recently been reported that the levels of miR-146-5p and its targets NUMB and DLST are strongly linked to TMAO levels and may be involved in the progression of atherosclerosis [116]. The potential interaction of TMAO with either the miR-146-5p precursor or downstream target mRNAs NUMB and DLST could be further examined to test the hypothesis of TMAO–RNA interaction.
3.4. Potential mammalian RNA switches driven by medicinal compounds
Metabolite analogs and small chemical compounds have been screened as possible inhibitors of bacterial riboswitches, to assess their potential as candidates for the development of antibiotics [117], [118]. In addition, it has recently been reported that a growing list of medicinal chemical compounds can bind to specific human cellular or viral RNAs and influence their structures or functions in human cells [119], [120], [121], [122], [123]. Such therapeutic compounds are promising to consider as next-generation RNA-targeted therapeutics for treating human diseases, ranging from myotonic dystrophy to viral infection to cancer [119], [120], [121], [122], [123].
For example, a benzimidazole (1) compound selectively binds to the precursor stem-loop structure of miR-96 and inhibits its processing and maturation, thereby inducing cancer cell apoptosis [122]. These findings indicate that noncoding RNA structural elements in mammals may be targeted by small synthetic molecules. A large literature addresses the transcriptome-wide expression profile of cell lines under treatment by a specific chemical compound, such as ibuprofen, atorvastatin, and aspirin [124], [125], [126]. However, less attention has been paid to posttranscriptional regulation at the level of protein expression. Interactions between chemically synthesized drugs and cellular RNAs have been sparsely studied and reported. However, in one study, FDA approved anti-cancer drugs (e.g., kinase and topoisomerase inhibitors) were found to bind the oncogenic precursor of miR-21 and inhibit its maturation and expression [127]. This drug–RNA interaction may change the stability and translation efficiency of downstream target mRNAs of miR-21, which might partly account for a therapeutic consequence, drug resistance, or even side effects in multiple human diseases including cancer and CVD [128], [129], [130].
Drug–RNA interactions need to be investigated for popular medications, such as ibuprofen, aspirin, statin, metformin, and many other frequently prescribed medicines. We propose that potential pharmacological RNA switching may be mediated by some of these human-manufactured chemical compounds (Fig. 3). For instance, the Precision (Prospective Evaluation of Celecoxib Integrated Safety versus Ibuprofen or Naproxen) Trial reported the comparative cardiovascular safety of three non-steroidal anti-inflammatory drugs [131]. Serious concerns have been raised about this 10-year clinic trial involving over 24,000 human subjects [132]. Considering the undesirable side-effects of the three drugs in triggering major adverse cardiovascular events, the molecular mechanisms of which remain unknown, the possibility of inappropriate dosages and potentially dangerous interactions with aspirin have been voiced. Pharmaceutical companies have rigorously examined drug–drug and drug–protein interactions, but it is not certain whether FDA-approved drugs may interact with specific cellular RNAs and influence the transcriptome-wide translational profile. We surmise that medicinal chemical compounds may bind to specific cellular mRNAs or noncoding RNAs, and these potential drug–RNA interactions could modulate RNA expression, processing, and function, or alter protein synthesis by changing the RNA structure. These putative effects could explain the hormetic (i.e., biphasic) activity of most therapeutic compounds, partly accounting for drug side-effects. These potential drug–RNA interactions might also underlie the therapeutic benefits of some drugs (e.g., riboswitch-targeted antibiotics and cellular RNA-targeted compounds), or the development of drug-resistance (e.g., anti-cancer medicines that may inactivate maturation of a tumor suppressor miRNA).
4. Concluding remarks
A riboswitch is a critical component of the RNA world. A spectrum of roles of mammalian RNA switches, which resemble riboswitches and riboswitch-like mechanisms in prokaryotes and simpler eukaryotes, have been uncovered over the last two decades in microbiology and cellular biology studies. Cellular stresses activate or inhibit protein-directed RNA switches under pathogenic conditions. In mammals, the principal executors of RNA switching are RNA-binding proteins and miRNAs. The mammalian PDRSs and potential riboswitch-like, metabolite-dependent RNA switches may have four unique properties: (a) They are not necessarily conserved in evolution from bacteria to eukaryotes and could be present in genes from particular species under specific conditions, such as the VEGFA RNA switch. (b) Unlike most bacterial riboswitches, which are unique to a single transcript, human RNA switches can respond to a protein ligand or a metabolite and regulate a cohort of transcripts that provide cells with the ability to adapt to changing environments. (c) Previous findings indicate that human PDRSs confer a 2–5-fold change in gene expression, which is less than the 10-fold change found in bacterial riboswitches, but on par with the action of other human regulatory mechanisms, such as those mediated by miRNAs, that likely function in parallel with other regulatory factors to fine-tune gene expression. (d) We anticipate that human RNA switches are not restricted to mRNA 5′UTR but are also present in mRNA coding regions (e.g., ATP8/ATP6) and other untranslated RNAs (e.g., CD36 3′UTR, lncRNAs).
Several questions need elucidation to clarify the molecular mechanism of PDRSs in general. These include: (a) How widely is PDRS distributed in different animal species and across distinct cell types in each species? (b) What are the global targets of PDRSs, including mRNAs and noncoding RNAs? (c) What is the relevance of PDRSs in human disease and medicine? Although a variety of PDRSs has been convincingly shown, it is unclear whether mammalian riboswitch-like RNA switches that depend on metabolites are present or not. To resolve these questions, we need a hypothesis-driven investigation (Fig. 3, Fig. 4) or unbiased broad-scale and high-throughput screening studies [119], [120] that include two-dimensional combinatorial screening (2DCS) and chemical crosslinking and isolation by pull-down (Chem-CLIP). These investigations should be combined with experimental, observation-driven, target-specific validation studies.
We propose that defects in putative human RNA switches contribute to both normal and disease-associated changes of gene expression and cellular metabolism. A better understanding of the molecular mechanisms of human RNA switches, which could be physiologic, pathogenic or pharmacological, will improve and promote the rational design of drugs that target RNA switches for treatment, and may help to reduce the side-effects of medication. We predict that new research fields will be created to elucidate the interplay between small molecules and RNAs in human health and disease (Fig. 3). Understanding the molecular mechanisms that underlie human RNA switches will clarify their roles in normal and pathological cellular processes and contribute to the development of new diagnostic and treatment strategies for human disease.
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
We are grateful to Dr. Lynne Maquat for her comments on the perspectives included in this review and Dr. Paul Fox for his figure template. We are grateful for funding support from National Institutes of Health R01 HL132899 and R01HL147954, the American Heart Association Scientist Development Grant 13SDG15970006 (National Center), and start-up funds from the Aab Cardiovascular Research Institute of University of Rochester Medical Center.
Footnotes
Supplementary data to this article can be found online at https://doi.org/10.1016/j.csbj.2019.10.001.
Appendix A. Supplementary data
The following are the Supplementary data to this article:
References
- 1.Mandal M., Breaker R.R. Gene regulation by riboswitches. Nat Rev Mol Cell Biol. 2004;5:451–463. doi: 10.1038/nrm1403. [DOI] [PubMed] [Google Scholar]
- 2.Grundy F.J., Henkin T.M. Regulation of gene expression by effectors that bind to RNA. Curr Opin Microbiol. 2004;7:126–131. doi: 10.1016/j.mib.2004.02.013. [DOI] [PubMed] [Google Scholar]
- 3.Wachter A. Gene regulation by structured mRNA elements. Trends Genet. 2014;30:172–181. doi: 10.1016/j.tig.2014.03.001. [DOI] [PubMed] [Google Scholar]
- 4.Cromie M.J., Shi Y., Latifi T., Groisman E.A. An RNA sensor for intracellular Mg2+ Cell. 2006;125:71–84. doi: 10.1016/j.cell.2006.01.043. [DOI] [PubMed] [Google Scholar]
- 5.Mironov A.S., Gusarov I., Rafikov R., Lopez L.E., Shatalin K., Kreneva R.A. Sensing small molecules by nascent RNA: a mechanism to control transcription in bacteria. Cell. 2002;111:747–756. doi: 10.1016/s0092-8674(02)01134-0. [DOI] [PubMed] [Google Scholar]
- 6.McCown P.J., Corbino K.A., Stav S., Sherlock M.E., Breaker R.R. Riboswitch diversity and distribution. RNA. 2017;23:995–1011. doi: 10.1261/rna.061234.117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Johansson J., Mandin P., Renzoni A., Chiaruttini C., Springer M., Cossart P. An RNA thermosensor controls expression of virulence genes in Listeria monocytogenes. Cell. 2002;110:551–561. doi: 10.1016/s0092-8674(02)00905-4. [DOI] [PubMed] [Google Scholar]
- 8.Nechooshtan G., Elgrably-Weiss M., Sheaffer A., Westhof E., Altuvia S. A pH-responsive riboregulator. Genes Dev. 2009;23:2650–2662. doi: 10.1101/gad.552209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Dambach M., Sandoval M., Updegrove T.B., Anantharaman V., Aravind L., Waters L.S. The ubiquitous yybP-ykoY riboswitch is a manganese-responsive regulatory element. Mol Cell. 2015;57:1099–1109. doi: 10.1016/j.molcel.2015.01.035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Baker J.L., Sudarsan N., Weinberg Z., Roth A., Stockbridge R.B., Breaker R.R. Widespread genetic switches and toxicity resistance proteins for fluoride. Science. 2012;335:233–235. doi: 10.1126/science.1215063. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Serganov A., Nudler E. A decade of riboswitches. Cell. 2013;152:17–24. doi: 10.1016/j.cell.2012.12.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Cheah M.T., Wachter A., Sudarsan N., Breaker R.R. Control of alternative RNA splicing and gene expression by eukaryotic riboswitches. Nature. 2007;447:497–500. doi: 10.1038/nature05769. [DOI] [PubMed] [Google Scholar]
- 13.Wachter A., Tunc-Ozdemir M., Grove B.C., Green P.J., Shintani D.K., Breaker R.R. Riboswitch control of gene expression in plants by splicing and alternative 3' end processing of mRNAs. Plant Cell. 2007;19:3437–3450. doi: 10.1105/tpc.107.053645. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Bocobza S., Adato A., Mandel T., Shapira M., Nudler E., Aharoni A. Riboswitch-dependent gene regulation and its evolution in the plant kingdom. Genes Dev. 2007;21:2874–2879. doi: 10.1101/gad.443907. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Breaker R.R. Prospects for riboswitch discovery and analysis. Mol Cell. 2011;43:867–879. doi: 10.1016/j.molcel.2011.08.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Batey R.T. Riboswitches: still a lot of undiscovered country. RNA. 2015;21:560–563. doi: 10.1261/rna.050765.115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Thore S., Leibundgut M., Ban N. Structure of the eukaryotic thiamine pyrophosphate riboswitch with its regulatory ligand. Science. 2006;312:1208–1211. doi: 10.1126/science.1128451. [DOI] [PubMed] [Google Scholar]
- 18.Yaman I., Fernandez J., Liu H., Caprara M., Komar A.A., Koromilas A.E. The zipper model of translational control: a small upstream ORF is the switch that controls structural remodeling of an mRNA leader. Cell. 2003;113:519–531. doi: 10.1016/s0092-8674(03)00345-3. [DOI] [PubMed] [Google Scholar]
- 19.Mitchell S.A., Spriggs K.A., Coldwell M.J., Jackson R.J., Willis A.E. The Apaf-1 internal ribosome entry segment attains the correct structural conformation for function via interactions with PTB and unr. Mol Cell. 2003;11:757–771. doi: 10.1016/s1097-2765(03)00093-5. [DOI] [PubMed] [Google Scholar]
- 20.Shamovsky I., Ivannikov M., Kandel E.S., Gershon D., Nudler E. RNA-mediated response to heat shock in mammalian cells. Nature. 2006;440:556–560. doi: 10.1038/nature04518. [DOI] [PubMed] [Google Scholar]
- 21.Yao P., Potdar A.A., Ray P.S., Eswarappa S.M., Flagg A.C., Willard B. The HILDA complex coordinates a conditional switch in the 3'-untranslated region of the VEGFA mRNA. PLoS Biol. 2013;11 doi: 10.1371/journal.pbio.1001635. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Xue Y., Ouyang K., Huang J., Zhou Y., Ouyang H., Li H. Direct conversion of fibroblasts to neurons by reprogramming PTB-regulated microRNA circuits. Cell. 2013;152:82–96. doi: 10.1016/j.cell.2012.11.045. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Ray P.S., Jia J., Yao P., Majumder M., Hatzoglou M., Fox P.L. A stress-responsive RNA switch regulates VEGFA expression. Nature. 2009;457:915–919. doi: 10.1038/nature07598. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Jafarifar F., Yao P., Eswarappa S.M., Fox P.L. Repression of VEGFA by CA-rich element-binding microRNAs is modulated by hnRNP L. EMBO J. 2011;30:1324–1334. doi: 10.1038/emboj.2011.38. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Yao P., Potdar A.A., Arif A., Ray P.S., Mukhopadhyay R., Willard B. Coding region polyadenylation generates a truncated tRNA synthetase that counters translation repression. Cell. 2012;149:88–100. doi: 10.1016/j.cell.2012.02.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Yao P., Fox P.L. Aminoacyl-tRNA synthetases in medicine and disease. EMBO Mol Med. 2013;5:332–343. doi: 10.1002/emmm.201100626. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Liu N., Dai Q., Zheng G., He C., Parisien M., Pan T. N(6)-methyladenosine-dependent RNA structural switches regulate RNA-protein interactions. Nature. 2015;518:560–564. doi: 10.1038/nature14234. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Meyer M.M. rRNA mimicry in RNA regulation of gene expression. Microbiol Spectr. 2018:6. doi: 10.1128/microbiolspec.RWR-0006-2017. [DOI] [PubMed] [Google Scholar]
- 29.Turnbough C.L., Jr., Switzer R.L. Regulation of pyrimidine biosynthetic gene expression in bacteria: repression without repressors. Microbiol Mol Biol Rev. 2008;72:266–300. doi: 10.1128/MMBR.00001-08. table of contents. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Mazumder B., Seshadri V., Fox P.L. Translational control by the 3′-UTR: the ends specify the means. Trends Biochem Sci. 2003;28:91–98. doi: 10.1016/S0968-0004(03)00002-1. [DOI] [PubMed] [Google Scholar]
- 31.Gebauer F., Hentze M.W. Molecular mechanisms of translational control. Nat Rev Mol Cell Biol. 2004;5:827–835. doi: 10.1038/nrm1488. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Sonenberg N., Hinnebusch A.G. New modes of translational control in development, behavior, and disease. Mol Cell. 2007;28:721–729. doi: 10.1016/j.molcel.2007.11.018. [DOI] [PubMed] [Google Scholar]
- 33.Keene J.D. RNA regulons: coordination of post-transcriptional events. Nat Rev Genet. 2007;8:533–543. doi: 10.1038/nrg2111. [DOI] [PubMed] [Google Scholar]
- 34.Keene J.D., Tenenbaum S.A. Eukaryotic mRNPs may represent posttranscriptional operons. Mol Cell. 2002;9:1161–1167. doi: 10.1016/s1097-2765(02)00559-2. [DOI] [PubMed] [Google Scholar]
- 35.Ray P.S., Fox P.L. A post-transcriptional pathway represses monocyte VEGF-A expression and angiogenic activity. EMBO J. 2007;26:3360–3372. doi: 10.1038/sj.emboj.7601774. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Sampath P., Mazumder B., Seshadri V., Gerber C.A., Chavatte L., Kinter M. Noncanonical function of glutamyl-prolyl-tRNA synthetase: gene-specific silencing of translation. Cell. 2004;119:195–208. doi: 10.1016/j.cell.2004.09.030. [DOI] [PubMed] [Google Scholar]
- 37.Yao P., Poruri K., Martinis S.A., Fox P.L. Non-catalytic regulation of gene expression by aminoacyl-tRNA synthetases. Top Curr Chem. 2013 doi: 10.1007/128_2013_422. [DOI] [PubMed] [Google Scholar]
- 38.Arif A., Yao P., Terenzi F., Jia J., Ray P.S., Fox P.L. The GAIT translational control system. Wiley Interdiscip Rev RNA. 2018;9 doi: 10.1002/wrna.1441. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Hui J., Hung L.H., Heiner M., Schreiner S., Neumuller N., Reither G. Intronic CA-repeat and CA-rich elements: a new class of regulators of mammalian alternative splicing. EMBO J. 2005;24:1988–1998. doi: 10.1038/sj.emboj.7600677. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Rossbach O., Hung L.H., Khrameeva E., Schreiner S., Konig J., Curk T. Crosslinking-immunoprecipitation (iCLIP) analysis reveals global regulatory roles of hnRNP L. RNA Biol. 2014;11:146–155. doi: 10.4161/rna.27991. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Shankarling G., Cole B.S., Mallory M.J., Lynch K.W. Transcriptome-wide RNA interaction profiling reveals physical and functional targets of hnRNP L in human T cells. Mol Cell Biol. 2014;34:71–83. doi: 10.1128/MCB.00740-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Venkata Subbaiah K.C., Wu J., Potdar A., Yao P. hnRNP L-mediated RNA switches function as a hypoxia-induced translational regulon. Biochem Biophys Res Commun. 2019 doi: 10.1016/j.bbrc.2019.06.106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Bartel D.P. MicroRNAs: target recognition and regulatory functions. Cell. 2009;136:215–233. doi: 10.1016/j.cell.2009.01.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Kefas B., Floyd D.H., Comeau L., Frisbee A., Dominguez C., Dipierro C.G. A miR-297/hypoxia/DGK-alpha axis regulating glioblastoma survival. Neuro Oncol. 2013;15:1652–1663. doi: 10.1093/neuonc/not118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Eiring A.M., Harb J.G., Neviani P., Garton C., Oaks J.J., Spizzo R. miR-328 functions as an RNA decoy to modulate hnRNP E2 regulation of mRNA translation in leukemic blasts. Cell. 2010;140:652–665. doi: 10.1016/j.cell.2010.01.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Balkhi M.Y., Iwenofu O.H., Bakkar N., Ladner K.J., Chandler D.S., Houghton P.J. miR-29 acts as a decoy in sarcomas to protect the tumor suppressor A20 mRNA from degradation by HuR. Sci Signal. 2013;6:ra63. doi: 10.1126/scisignal.2004177. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Yao P., Wu J., Lindner D., Fox P.L. Interplay between miR-574-3p and hnRNP L regulates VEGFA mRNA translation and tumorigenesis. Nucleic Acids Res. 2017;45:7950–7964. doi: 10.1093/nar/gkx440. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Saul M.J., Baumann I., Bruno A., Emmerich A.C., Wellstein J., Ottinger S.M. miR-574-5p as RNA decoy for CUGBP1 stimulates human lung tumor growth by mPGES-1 induction. FASEB J. 2019 doi: 10.1096/fj.201802547R. [DOI] [PubMed] [Google Scholar]
- 49.Poria D.K., Guha A., Nandi I., Ray P.S. RNA-binding protein HuR sequesters microRNA-21 to prevent translation repression of proinflammatory tumor suppressor gene programmed cell death 4. Oncogene. 2016;35:1703–1715. doi: 10.1038/onc.2015.235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Elbarbary R.A., Miyoshi K., Myers J.R., Du P., Ashton J.M., Tian B. Tudor-SN-mediated endonucleolytic decay of human cell microRNAs promotes G1/S phase transition. Science. 2017;356:859–862. doi: 10.1126/science.aai9372. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Zhou X., Li Q., He J., Zhong L., Shu F., Xing R. HnRNP-L promotes prostate cancer progression by enhancing cell cycling and inhibiting apoptosis. Oncotarget. 2017;8:19342–19353. doi: 10.18632/oncotarget.14258. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Goehe R.W., Shultz J.C., Murudkar C., Usanovic S., Lamour N.F., Massey D.H. hnRNP L regulates the tumorigenic capacity of lung cancer xenografts in mice via caspase-9 pre-mRNA processing. J Clin Invest. 2010;120:3923–3939. doi: 10.1172/JCI43552. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Spellman R., Smith C.W. Novel modes of splicing repression by PTB. Trends Biochem Sci. 2006;31:73–76. doi: 10.1016/j.tibs.2005.12.003. [DOI] [PubMed] [Google Scholar]
- 54.Xue Y., Zhou Y., Wu T., Zhu T., Ji X., Kwon Y.S. Genome-wide analysis of PTB-RNA interactions reveals a strategy used by the general splicing repressor to modulate exon inclusion or skipping. Mol Cell. 2009;36:996–1006. doi: 10.1016/j.molcel.2009.12.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Romanelli M.G., Diani E., Lievens P.M. New insights into functional roles of the polypyrimidine tract-binding protein. Int J Mol Sci. 2013;14:22906–22932. doi: 10.3390/ijms141122906. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Matus-Nicodemos R., Vavassori S., Castro-Faix M., Valentin-Acevedo A., Singh K., Marcelli V. Polypyrimidine tract-binding protein is critical for the turnover and subcellular distribution of CD40 ligand mRNA in CD4+ T cells. J Immunol. 2011;186:2164–2171. doi: 10.4049/jimmunol.1003236. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Woo K.C., Kim T.D., Lee K.H., Kim D.Y., Kim W., Lee K.Y. Mouse period 2 mRNA circadian oscillation is modulated by PTB-mediated rhythmic mRNA degradation. Nucleic Acids Res. 2009;37:26–37. doi: 10.1093/nar/gkn893. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Lustig Y., Barhod E., Ashwal-Fluss R., Gordin R., Shomron N., Baruch-Umansky K. RNA-binding protein PTB and microRNA-221 coregulate AdipoR1 translation and adiponectin signaling. Diabetes. 2014;63:433–445. doi: 10.2337/db13-1032. [DOI] [PubMed] [Google Scholar]
- 59.Victor M.B., Richner M., Hermanstyne T.O., Ransdell J.L., Sobieski C., Deng P.Y. Generation of human striatal neurons by microRNA-dependent direct conversion of fibroblasts. Neuron. 2014;84:311–323. doi: 10.1016/j.neuron.2014.10.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Yoo A.S., Sun A.X., Li L., Shcheglovitov A., Portmann T., Li Y. MicroRNA-mediated conversion of human fibroblasts to neurons. Nature. 2011;476:228–231. doi: 10.1038/nature10323. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Xue Y., Qian H., Hu J., Zhou B., Zhou Y., Hu X. Sequential regulatory loops as key gatekeepers for neuronal reprogramming in human cells. Nat Neurosci. 2016;19:807–815. doi: 10.1038/nn.4297. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Roberts T.C. The MicroRNA biology of the mammalian nucleus. Mol Ther Nucleic Acids. 2014;3 doi: 10.1038/mtna.2014.40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Yue Y., Liu J., He C. RNA N6-methyladenosine methylation in post-transcriptional gene expression regulation. Genes Dev. 2015;29:1343–1355. doi: 10.1101/gad.262766.115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Meyer K.D., Saletore Y., Zumbo P., Elemento O., Mason C.E., Jaffrey S.R. Comprehensive analysis of mRNA methylation reveals enrichment in 3′ UTRs and near stop codons. Cell. 2012;149:1635–1646. doi: 10.1016/j.cell.2012.05.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Dominissini D., Moshitch-Moshkovitz S., Schwartz S., Salmon-Divon M., Ungar L., Osenberg S. Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq. Nature. 2012;485:201–206. doi: 10.1038/nature11112. [DOI] [PubMed] [Google Scholar]
- 66.Liu J., Yue Y., Han D., Wang X., Fu Y., Zhang L. A METTL3-METTL14 complex mediates mammalian nuclear RNA N6-adenosine methylation. Nat Chem Biol. 2014;10:93–95. doi: 10.1038/nchembio.1432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Jia G., Fu Y., Zhao X., Dai Q., Zheng G., Yang Y. N6-methyladenosine in nuclear RNA is a major substrate of the obesity-associated FTO. Nat Chem Biol. 2011;7:885–887. doi: 10.1038/nchembio.687. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Zheng G., Dahl J.A., Niu Y., Fedorcsak P., Huang C.M., Li C.J. ALKBH5 is a mammalian RNA demethylase that impacts RNA metabolism and mouse fertility. Mol Cell. 2013;49:18–29. doi: 10.1016/j.molcel.2012.10.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Wang X., Lu Z., Gomez A., Hon G.C., Yue Y., Han D. N6-methyladenosine-dependent regulation of messenger RNA stability. Nature. 2014;505:117–120. doi: 10.1038/nature12730. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Wang X., Zhao B.S., Roundtree I.A., Lu Z., Han D., Ma H. N(6)-methyladenosine modulates messenger RNA translation efficiency. Cell. 2015;161:1388–1399. doi: 10.1016/j.cell.2015.05.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Zhou K.I., Parisien M., Dai Q., Liu N., Diatchenko L., Sachleben J.R. N(6)-methyladenosine modification in a long noncoding RNA hairpin predisposes its conformation to protein binding. J Mol Biol. 2016;428:822–833. doi: 10.1016/j.jmb.2015.08.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Liu N., Zhou K.I., Parisien M., Dai Q., Diatchenko L., Pan T. N6-methyladenosine alters RNA structure to regulate binding of a low-complexity protein. Nucleic Acids Res. 2017;45:6051–6063. doi: 10.1093/nar/gkx141. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Trixl L., Lusser A. The dynamic RNA modification 5-methylcytosine and its emerging role as an epitranscriptomic mark. Wiley Interdiscip Rev RNA. 2019;10 doi: 10.1002/wrna.1510. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Calvo S.E., Pagliarini D.J., Mootha V.K. Upstream open reading frames cause widespread reduction of protein expression and are polymorphic among humans. Proc Natl Acad Sci USA. 2009;106:7507–7512. doi: 10.1073/pnas.0810916106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Kozak M. Downstream secondary structure facilitates recognition of initiator codons by eukaryotic ribosomes. Proc Natl Acad Sci USA. 1990;87:8301–8305. doi: 10.1073/pnas.87.21.8301. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Guenther U.P., Weinberg D.E., Zubradt M.M., Tedeschi F.A., Stawicki B.N., Zagore L.L. The helicase Ded1p controls use of near-cognate translation initiation codons in 5' UTRs. Nature. 2018;559:130–134. doi: 10.1038/s41586-018-0258-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Hilliker A., Gao Z., Jankowsky E., Parker R. The DEAD-box protein Ded1 modulates translation by the formation and resolution of an eIF4F-mRNA complex. Mol Cell. 2011;43:962–972. doi: 10.1016/j.molcel.2011.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Putnam A.A., Jankowsky E. AMP sensing by DEAD-box RNA helicases. J Mol Biol. 2013;425:3839–3845. doi: 10.1016/j.jmb.2013.05.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Vu M.M., Jameson N.E., Masuda S.J., Lin D., Larralde-Ridaura R., Luptak A. Convergent evolution of adenosine aptamers spanning bacterial, human, and random sequences revealed by structure-based bioinformatics and genomic SELEX. Chem Biol. 2012;19:1247–1254. doi: 10.1016/j.chembiol.2012.08.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Abdelsayed M.M., Ho B.T., Vu M.M.K., Polanco J., Spitale R.C., Luptak A. Multiplex aptamer discovery through Apta-Seq and its application to ATP aptamers derived from human-genomic SELEX. ACS Chem Biol. 2017 doi: 10.1021/acschembio.7b00001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Vera M., Pani B., Griffiths L.A., Muchardt C., Abbott C.M., Singer R.H. The translation elongation factor eEF1A1 couples transcription to translation during heat shock response. Elife. 2014;3 doi: 10.7554/eLife.03164. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Castello A., Fischer B., Eichelbaum K., Horos R., Beckmann B.M., Strein C. Insights into RNA biology from an atlas of mammalian mRNA-binding proteins. Cell. 2012;149:1393–1406. doi: 10.1016/j.cell.2012.04.031. [DOI] [PubMed] [Google Scholar]
- 83.Liao Y., Castello A., Fischer B., Leicht S., Foehr S., Frese C.K. The cardiomyocyte RNA-binding proteome: links to intermediary metabolism and heart disease. Cell Rep. 2016;16:1456–1469. doi: 10.1016/j.celrep.2016.06.084. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Castello A., Fischer B., Frese C.K., Horos R., Alleaume A.M., Foehr S. Comprehensive identification of RNA-binding domains in human cells. Mol Cell. 2016;63:696–710. doi: 10.1016/j.molcel.2016.06.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Castello A., Fischer B., Hentze M.W., Preiss T. RNA-binding proteins in Mendelian disease. Trends Genet. 2013;29:318–327. doi: 10.1016/j.tig.2013.01.004. [DOI] [PubMed] [Google Scholar]
- 86.Popow J., Alleaume A.M., Curk T., Schwarzl T., Sauer S., Hentze M.W. FASTKD2 is an RNA-binding protein required for mitochondrial RNA processing and translation. RNA. 2015;21:1873–1884. doi: 10.1261/rna.052365.115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Castello A., Hentze M.W., Preiss T. Metabolic enzymes enjoying new partnerships as RNA-binding proteins. Trends Endocrinol Metab. 2015;26:746–757. doi: 10.1016/j.tem.2015.09.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Lee E.J., Groisman E.A. Control of a Salmonella virulence locus by an ATP-sensing leader messenger RNA. Nature. 2012;486:271–275. doi: 10.1038/nature11090. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Nelson J.W., Sudarsan N., Furukawa K., Weinberg Z., Wang J.X., Breaker R.R. Riboswitches in eubacteria sense the second messenger c-di-AMP. Nat Chem Biol. 2013;9:834–839. doi: 10.1038/nchembio.1363. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Matelska D., Kurkowska M., Purta E., Bujnicki J.M., Dunin-Horkawicz S. Loss of conserved noncoding RNAs in genomes of bacterial endosymbionts. Genome Biol Evol. 2016;8:426–438. doi: 10.1093/gbe/evw007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Zeng X., Hourset A., Tzagoloff A. The Saccharomyces cerevisiae ATP22 gene codes for the mitochondrial ATPase subunit 6-specific translation factor. Genetics. 2007;175:55–63. doi: 10.1534/genetics.106.065821. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Barros M.H., Tzagoloff A. Aep3p-dependent translation of yeast mitochondrial ATP8. Mol Biol Cell. 2017;28:1426–1434. doi: 10.1091/mbc.E16-11-0775. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Jovaisaite V., Auwerx J. The mitochondrial unfolded protein response-synchronizing genomes. Curr Opin Cell Biol. 2015;33:74–81. doi: 10.1016/j.ceb.2014.12.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Tan Z., Fu Y., Sharma G., Mathews D.H. TurboFold II: RNA structural alignment and secondary structure prediction informed by multiple homologs. Nucleic Acids Res. 2017;45:11570–11581. doi: 10.1093/nar/gkx815. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Zuker M. Mfold web server for nucleic acid folding and hybridization prediction. Nucleic Acids Res. 2003;31:3406–3415. doi: 10.1093/nar/gkg595. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Sassanfar M., Szostak J.W. An RNA motif that binds ATP. Nature. 1993;364:550–553. doi: 10.1038/364550a0. [DOI] [PubMed] [Google Scholar]
- 97.Weill L., Louis D., Sargueil B. Selection and evolution of NTP-specific aptamers. Nucleic Acids Res. 2004;32:5045–5058. doi: 10.1093/nar/gkh835. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Solem A.C., Halvorsen M., Ramos S.B., Laederach A. The potential of the riboSNitch in personalized medicine. Wiley Interdiscip Rev RNA. 2015;6:517–532. doi: 10.1002/wrna.1291. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Linnstaedt S.D., Riker K.D., Rueckeis C.A., Kutchko K.M., Lackey L., McCarthy K.R. A functional riboSNitch in the 3′ untranslated region of FKBP5 alters MicroRNA-320a binding efficiency and mediates vulnerability to chronic post-traumatic pain. J Neurosci. 2018;38:8407–8420. doi: 10.1523/JNEUROSCI.3458-17.2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Wang Y.P., Lei Q.Y. Metabolite sensing and signaling in cell metabolism. Signal Transduct Target Ther. 2018;3:30. doi: 10.1038/s41392-018-0024-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Cairns R.A., Harris I.S., Mak T.W. Regulation of cancer cell metabolism. Nat Rev Cancer. 2011;11:85–95. doi: 10.1038/nrc2981. [DOI] [PubMed] [Google Scholar]
- 102.Hentze M.W., Castello A., Schwarzl T., Preiss T. A brave new world of RNA-binding proteins. Nat Rev Mol Cell Biol. 2018;19:327–341. doi: 10.1038/nrm.2017.130. [DOI] [PubMed] [Google Scholar]
- 103.Roth A., Breaker R.R. The structural and functional diversity of metabolite-binding riboswitches. Annu Rev Biochem. 2009;78:305–334. doi: 10.1146/annurev.biochem.78.070507.135656. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Henkin T.M. Riboswitch RNAs: using RNA to sense cellular metabolism. Genes Dev. 2008;22:3383–3390. doi: 10.1101/gad.1747308. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Kaul M., Barbieri C.M., Pilch D.S. Aminoglycoside-induced reduction in nucleotide mobility at the ribosomal RNA A-site as a potentially key determinant of antibacterial activity. J Am Chem Soc. 2006;128:1261–1271. doi: 10.1021/ja056159z. [DOI] [PubMed] [Google Scholar]
- 106.Wang Z., Klipfell E., Bennett B.J., Koeth R., Levison B.S., Dugar B. Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease. Nature. 2011;472:57–63. doi: 10.1038/nature09922. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Barratt M.J., Lebrilla C., Shapiro H.Y., Gordon J.I. The gut microbiota, food science, and human nutrition: a timely marriage. Cell Host Microbe. 2017;22:134–141. doi: 10.1016/j.chom.2017.07.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Ridaura V.K., Faith J.J., Rey F.E., Cheng J., Duncan A.E., Kau A.L. Gut microbiota from twins discordant for obesity modulate metabolism in mice. Science. 2013;341:1241214. doi: 10.1126/science.1241214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Zhu W., Gregory J.C., Org E., Buffa J.A., Gupta N., Wang Z. Gut microbial metabolite TMAO enhances platelet hyperreactivity and thrombosis risk. Cell. 2016;165:111–124. doi: 10.1016/j.cell.2016.02.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Wang Z., Roberts A.B., Buffa J.A., Levison B.S., Zhu W., Org E. Non-lethal inhibition of gut microbial trimethylamine production for the treatment of atherosclerosis. Cell. 2015;163:1585–1595. doi: 10.1016/j.cell.2015.11.055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Albert C.L., Tang W.H.W. Metabolic biomarkers in heart failure. Heart Fail Clin. 2018;14:109–118. doi: 10.1016/j.hfc.2017.08.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Heianza Y., Ma W., Manson J.E., Rexrode K.M., Qi L. Gut microbiota metabolites and risk of major adverse cardiovascular disease events and death: a systematic review and meta-analysis of prospective studies. J Am Heart Assoc. 2017;6 doi: 10.1161/JAHA.116.004947. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Tan Y., Sheng Z., Zhou P., Liu C., Zhao H., Song L. Plasma trimethylamine N-oxide as a novel biomarker for plaque rupture in patients with ST-segment-elevation myocardial infarction. Circ Cardiovasc Interv. 2019;12 doi: 10.1161/CIRCINTERVENTIONS.118.007281. [DOI] [PubMed] [Google Scholar]
- 114.Gluick T.C., Yadav S. Trimethylamine N-oxide stabilizes RNA tertiary structure and attenuates the denaturating effects of urea. J Am Chem Soc. 2003;125:4418–4419. doi: 10.1021/ja0292997. [DOI] [PubMed] [Google Scholar]
- 115.Lambert D., Leipply D., Draper D.E. The osmolyte TMAO stabilizes native RNA tertiary structures in the absence of Mg2+: evidence for a large barrier to folding from phosphate dehydration. J Mol Biol. 2010;404:138–157. doi: 10.1016/j.jmb.2010.09.043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Coffey A.R., Kanke M., Smallwood T.L., Albright J., Pitman W., Gharaibeh R.Z. microRNA-146a-5p association with the cardiometabolic disease risk factor TMAO. Physiol Genomics. 2019;51:59–71. doi: 10.1152/physiolgenomics.00079.2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Blount K.F., Wang J.X., Lim J., Sudarsan N., Breaker R.R. Antibacterial lysine analogs that target lysine riboswitches. Nat Chem Biol. 2007;3:44–49. doi: 10.1038/nchembio842. [DOI] [PubMed] [Google Scholar]
- 118.Howe J.A., Wang H., Fischmann T.O., Balibar C.J., Xiao L., Galgoci A.M. Selective small-molecule inhibition of an RNA structural element. Nature. 2015;526:672–677. doi: 10.1038/nature15542. [DOI] [PubMed] [Google Scholar]
- 119.Disney M.D., Dwyer B.G., Childs-Disney J.L. Drugging the RNA world. Cold Spring Harb Perspect Biol. 2018;10 doi: 10.1101/cshperspect.a034769. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Childs-Disney J.L., Tran T., Vummidi B.R., Velagapudi S.P., Haniff H.S., Matsumoto Y. A massively parallel selection of small molecule-RNA motif binding partners informs design of an antiviral from sequence. Chem. 2018;4:2384–2404. doi: 10.1016/j.chempr.2018.08.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Childs-Disney J.L., Disney M.D. Approaches to validate and manipulate RNA targets with small molecules in cells. Annu Rev Pharmacol Toxicol. 2016;56:123–140. doi: 10.1146/annurev-pharmtox-010715-103910. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Velagapudi S.P., Gallo S.M., Disney M.D. Sequence-based design of bioactive small molecules that target precursor microRNAs. Nat Chem Biol. 2014;10:291–297. doi: 10.1038/nchembio.1452. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Rzuczek S.G., Southern M.R., Disney M.D. Studying a drug-like, RNA-focused small molecule library identifies compounds that inhibit RNA toxicity in myotonic dystrophy. ACS Chem Biol. 2015;10:2706–2715. doi: 10.1021/acschembio.5b00430. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Pennock N.D., Martinson H.A., Guo Q., Betts C.B., Jindal S., Tsujikawa T. Ibuprofen supports macrophage differentiation, T cell recruitment, and tumor suppression in a model of postpartum breast cancer. J ImmunoTher Cancer. 2018;6:98. doi: 10.1186/s40425-018-0406-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Stormo C., Kringen M.K., Lyle R., Olstad O.K., Sachse D., Berg J.P. RNA-sequencing analysis of HepG2 cells treated with atorvastatin. PLoS One. 2014;9 doi: 10.1371/journal.pone.0105836. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Guo Y., Su Z.Y., Zhang C., Gaspar J.M., Wang R., Hart R.P. Mechanisms of colitis-accelerated colon carcinogenesis and its prevention with the combination of aspirin and curcumin: transcriptomic analysis using RNA-seq. Biochem Pharmacol. 2017;135:22–34. doi: 10.1016/j.bcp.2017.02.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Velagapudi S.P., Costales M.G., Vummidi B.R., Nakai Y., Angelbello A.J., Tran T. Approved anti-cancer drugs target oncogenic non-coding RNAs. Cell Chem Biol. 2018;25(1086–1094) doi: 10.1016/j.chembiol.2018.05.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128.Li H., Zhang X., Wang F., Zhou L., Yin Z., Fan J. MicroRNA-21 lowers blood pressure in spontaneous hypertensive rats by upregulating mitochondrial translation. Circulation. 2016;134:734–751. doi: 10.1161/CIRCULATIONAHA.116.023926. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129.Thum T., Gross C., Fiedler J., Fischer T., Kissler S., Bussen M. MicroRNA-21 contributes to myocardial disease by stimulating MAP kinase signalling in fibroblasts. Nature. 2008;456:980–984. doi: 10.1038/nature07511. [DOI] [PubMed] [Google Scholar]
- 130.Medina P.P., Nolde M., Slack F.J. OncomiR addiction in an in vivo model of microRNA-21-induced pre-B-cell lymphoma. Nature. 2010;467:86–90. doi: 10.1038/nature09284. [DOI] [PubMed] [Google Scholar]
- 131.Nissen S.E., Yeomans N.D., Solomon D.H., Luscher T.F., Libby P., Husni M.E. Cardiovascular safety of celecoxib, naproxen, or ibuprofen for arthritis. N Engl J Med. 2016;375:2519–2529. doi: 10.1056/NEJMoa1611593. [DOI] [PubMed] [Google Scholar]
- 132.FitzGerald G.A. Imprecision: limitations to interpretation of a large randomized clinical trial. Circulation. 2017;135:113–115. doi: 10.1161/CIRCULATIONAHA.116.026324. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.