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Enhancer RNAs: transcriptional regulators and workmates of NamiRNAs in myogenesis

Abstract

miRNAs are well known to be gene repressors. A newly identified class of miRNAs termed nuclear activating miRNAs (NamiRNAs), transcribed from miRNA loci that exhibit enhancer features, promote gene expression via binding to the promoter and enhancer marker regions of the target genes. Meanwhile, activated enhancers produce endogenous non-coding RNAs (named enhancer RNAs, eRNAs) to activate gene expression. During chromatin looping, transcribed eRNAs interact with NamiRNAs through enhancer-promoter interaction to perform similar functions. Here, we review the functional differences and similarities between eRNAs and NamiRNAs in myogenesis and disease. We also propose models demonstrating their mutual mechanism and function. We conclude that eRNAs are active molecules, transcriptional regulators, and partners of NamiRNAs, rather than mere RNAs produced during enhancer activation.

Introduction

The identification of lin-4 miRNA in Caenorhabditis elegans in 1993 [1] triggered research to discover and understand small microRNAs’ (miRNAs) mechanisms. Recently, some miRNAs are reported to activate target genes during transcription via base pairing to the 3ʹ or 5ʹ untranslated regions (3ʹ or 5ʹ UTRs), the promoter [2], and the enhancer regions [3]. These miRNAs are termed NamiRNAs. In mammals, miRNAs/NamiRNAs control more than half of the protein-coding genes [4]. For example, the 3ʹ UTRs of about 60% of known human protein-coding genes harbor binding sites for miRNAs/NamiRNA [5], serving as docking sites for either activating or inhibiting these genes. Hence, miRNAs (including NamiRNAs) are a significant factor in cellular transcription.

Alternatively, the eRNAs are small non-coding RNA (ncRNA) transcribed by RNA polymerase II (Pol II) from enhancer loci in a similar way as NamiRNA [6]. eRNAs are transcribed as single or double strands (3ʹ to 5ʹ UTR and vice versa) (Fig. 1). But their associated enhancers are not always marked with H3K4me3 (a Pol II epigenetic marker at promoters) [8], which causes a bias transcription. However, enhancers and eRNAs are tissue- and cell-specific [8, 9] and are involved in enhancer mediated transcription and activation [10, 11]. Similar to NamiRNAs, eRNAs have a similar sequence, secondary structures, and some complement regions in their target promoters of the corresponding enhancer [9]. Therefore, they serve as inducing drivers in NamiRNA-enhancer-regulated control [9].

Fig. 1
figure 1

Biogenesis of eRNA. NamiRNA forms a complex with nAGO2 and p300, which activate enhancer markers such as H3K27ac, H3K4me3, and H3K4me1 at active enhancers making the enhancer recognizable to the Pol II. TFs and proteins such as P-TEFb, PAF1, and SPT6 bind to Pol II and other enhancers associated with components like p53 and P300 CBP and BRD4. Pol II is activated following the phosphorylation of Pol II CTD and abundant PAS at the TSS of active enhancers. Pol II bidirectionally transcribes the enhancer and its halter by the integrator complex cleaving the eRNA transcripts

The discovery of eRNAs and NamiRNAs has paved a new path in modern cellular genomics, but the differences and similarities in their mechanisms remain unsolved. Here, we review the regulatory effects of NamiRNAs and eRNAs in cellular transcription and their repercussions in myogenesis, diseases, and therapeutics.

eRNA and NamiRNA biogenesis

The biogenesis of eRNA and NamiRNAs may co-occur due to their nuclear associated molecular activities in the nucleus. They are transcribed from enhancers and NamiRNAs from miRNA coding genes. However, they end up being close to target enhancers and genes due to chromatin looping and gene activation. NamiRNAs trigger the transcription of eRNAs, and subsequently, the transcribed eRNAs and the NamiRNA activate the target gene and enhancer.

eRNA originates from an active enhancer

The first enhancer (~ 72 bp) was cloned out of simian virus 40 (SV40), which is associated with an increase in expression of the human β-globin gene [12]. Enhancers and their RNAs are often located in the same loci as their target genes and come to proximity through chromatin looping and restructuring during cellular growth [13] (Fig. 1). They subsequently bind to coactivators and transcription factors (TF) [14] and orchestrate their target gene’s activation [15] (Fig. 1). Most eRNAs are usually unspliced and short, with an average size of 346 nucleotides [16]. About half of the intergenic nuclear enhancers transcribe eRNAs [17].

eRNAs are transcribed from an active enhancer by Pol II before transcription (Fig. 1). NamiRNA forms a complex with nuclear Argonaute 2 (nAGO2) and recruits p300, which catalyzes the acetylation of H3K27 (H3K27ac) at enhancers [18, 19] and activates other Pol II-recognized enhancer markers such as H3K4me3 and H3K4me1 [3]. Subsequently, Pol II recruits proteins such as TATA-box associated binding protein factor, positive transcription elongation factor b (P-TEFb), elongation factor PAF1 complex (PAF1), and SPT6 [20, 21] to bind to the active enhancer. Some of these TFs bind to other enhancer associated components such as p53 [11], P300 [22], CBP [23], mediator [24], YY1 [14], BRD4 [25], and cohesin [26]. The phosphorylation of Pol II C-terminal domain (CTD) and abundant poly (A) signals (PAS) immediately downstream of the transcription start site (TSS) create a correlation between the active enhancer transcription and Pol II stability [27]. This association leads to activation of Pol II, which first transcribes the enhancer region (with specific chromatin signatures such as H3K4me3, H3K4me1, and H2K27ac [28]), resulting in the production of eRNAs before transcribing other protein-coding genes (Fig. 1). The activated Pol II bidirectionally transcribes eRNAs at the active enhancer, resulting in both a sense and antisense eRNAs simultaneously [29] (Fig. 1). An integrator complex cleaves the 3ʹ UTR of the newly produced eRNA and trims it into appropriate sizes [9, 30].

The cleaving terminates transcription and unbinds eRNAs from Pol II, decreasing the transcript’s population at both strands [30]. eRNA transcription can also be halted by knocking out the enhancer’s promoter [17]. Following transcription termination, Pol II continues to transcribe neighboring genes in the enhancer loci. The RNA exosome degrades and regulates the transcribed eRNA population, resulting in its low abundance and reducing its ability to participate in pro-transcriptional processes and gene regulation [14, 31] (Fig. 1). eRNA biogenesis gives a clear understanding of the technical route of its biological function.

NamiRNA is produced from miRNA coding genes with enhancer features

Nuclear AGO2 (nAGO2) and RNAi factors like Dicer and TRBP are proposed to process NamiRNAs in the nucleus with a similar mechanism as the canonical miRNA’s biogenesis [32]. During transcription, Pol II, after transcribing eRNAs, turns to transcribe miRNA-coding genes in enhancer loci. These genes and their miRNAs have enhancer features such as H3K4me1 and H2K27ac, which make them activators. Pol II transcribes these miRNA-coding genes into double-stranded primary miRNAs (ds-pri-miRNAs). With the help of specific ds-pri-miRNAs‑binding proteins, the microprocessor complex (MPC) (made up of Drosha and DGCR8) cleaves the ds-pri-miRNAs into smaller pre-miRNA hairpin loop structures named precursor RNAs [33, 34] (Fig. 2). The nDicer-nTRBP/PACT complex (nuclear Dicer binds to the TRBP/PACT) recognizes and cleaves the stem-loop off, forming mature double-stranded (ds) miRNA molecule in the nucleus [35]. The ds-miRNA then unwinds to release an nAGO2-bound single-strand RNA, which create a RISC-like structure with other proteins [37]. The structure guides the NamiRNA base pairing on enhancers or promoters of target genes to perform its activation (turning it into a NamiRNA) (Fig. 2).

Fig. 2
figure 2

Biogenesis of NamiRNAs in the nucleus and cytoplasm. Pol II transcribes miRNA coding genes in the same loci as enhancers. MPC process the ds-miRNA into hairpin loop structures. Nuclear AGO2 and RNAi factors Dicer and TRBP process ds-miRNA into NamiRNAs in the nucleus. Alternatively, cytoplasmic produced miRNAs which were transcribed from genes with enhancer associated properties are activated by a RISC-like structure in the cytoplasm. The activated NamiRNAs in the cytoplasm are transported back into the nucleus via FXR1 to perform their activation and enhancing function

Alternatively, NamiRNA may be produced in the canonical miRNA processing manner. Some pre-miRNA may escape the nuclear Ago2, Dicer, TRBP, and PACT and move to the cytoplasm with the transporter protein Exportin 5 through the nuclear pore. Upon reaching the cytoplasm, the pre-miRNA is cleaved into ds-miRNAs by the cytoplasmic Dicer-TRBP/PACT complex. The resulting ds-miRNA unwinds and releases a single strand to bind to AGO2. Together with AGO2, this strand binds to other proteins to form a RISC [36]. However, in the cytoplasm, matured miRNAs which were transcribed from genes with enhancer associated properties are activated by a similar RISC-like structure as in the nucleus. The activated NamiRNA then binds to Fragile X mental retardation syndrome-related protein 1 (FXR1), aiding it to shuttle between the nucleus and cytoplasm and subsequently activating the expression of nuclear genes and enhancers. These may explain how matured miRNAs in the cytoplasm can activate nuclear genes [37], and NamiRNAs can be produced in both the nucleus and the cytoplasm. The appearance of nucleus-located AGO2, Dicer, TRBP, and TRNC6A/GW182 confirms this hypothesis [32].

Uncertainties associated with eRNA biogenesis

Uncertainties seldom occur during eRNA transcription. However, diminution of the integrator subunits causes a decrease in eRNA’s signal-dependent induction and retracts stimulus-induced enhancer-promoter chromatin looping. These increase the spreading of GRO-seq reads throughout the body of eRNA transcripts at both enhancers and super-enhancers (SE) but make it difficult to detect [30]. Also, some H3K4me3 (an epigenetic marker of Pol II promoters) unmarked enhancers result in a transcriptional bias [7].

Uncertainties associated with NamiRNA biogenesis

There are some uncertainties related to the biogenesis of NamiRNAs. For example, Dicer-involved proteins, such as TRBP, can change the cleavage site of Dicer within some pre-miRNAs (e.g., pre-miR-132) [38]. Like pre-miR-451 in both zebrafish and mice [39], many miRNAs can escape cleaving by Dicer due to some extreme properties such as short sequences. Hence it is directly loaded into RISC for subsequent processing by AGO2 [39]. Recently, SE-mediated processing of associated pri-miRNA has been demonstrated. The deletion of several miR-1 or miR-290–295-related SE decreases their pri-mRNA production, possibly caused by reduced DGCR8 and Drosha recruitment, which affect miRNA processing and chromatin formation [40].

eRNA and NamiRNA regulate transcription and gene activation

eRNAs affect transcription during activation of their target

eRNAs activate target genes during chromatin looping

In the nucleus, eRNAs either activate or repress their target genes, and therefore their dysregulation affects transcription. For example, knockdown of specific eRNAs reduces its target genes’ expression, inferring their transcription roles [10]. Alternatively, exogenous eRNAs upsurge their prospective mRNA targets [41]. Nascent eRNA expression attenuates host gene expression during transcriptional elongation at intragenic enhancers [42]. Therefore, eRNA levels at a target gene correlate with its enhancers and neighboring genes [9]. Hence, they serve as additional drivers in inducing regulations in enhancer-regulated transcriptional controls [9].

eRNAs affect genes on the same or different chromosomes in a cis–trans mechanism (Fig. 4). This mechanism helps eRNAs to regulate target genes located either in front of or behind the enhancers. During its cis activity, eRNAs help activate their target in the same location as their topologically associated domain (TAD) with the eRNA loci [10, 17]. An example is DRReRNA; an eRNA transcribed from a distal enhancer of MyoD1 controls the expression of MyoD via a cis mechanism (Fig. 4). These eRNAs interact with the cohesion complex during trans activating myogenin (MyoG) expression [26] (Fig. 4). A distal eRNA knockdown is involved in chorionic gonadotropin alpha (Cga) genomic and chromosomal interactions [43].

Also, eRNAs can control their target genes’ expression by aiming at their promoter regions. Hence the loss of interaction between an eRNA and its promoter can cause a drastic change in orchestrating its target gene function and chromatin formation. Knocking down eRNAs triggers the replacement of histone H3K27ac merely at the enhancer by H3K27 trimethylation (H3K27me3) but not the promoter region [44]. Such situations lead to biased transcription of Pol II since it only recognizes promoters with H3K4me3, H3K4me1, and H2K27ac [28]. Also, the expression of eRNAs during the unwinding of DNA results in the formation of G quartets and R-loops, which causes genomic instability via the creation of three-stranded DNA–RNA hybrid loops [45]. These genetic recombinations and mutations are highly experienced in transcribed target genes compared to inactive transcriptional loci [46]. Conclusively, by assisting the target genes’ promoters’ activities and binding to sequence-specific DNA proteins, eRNAs control their targets' transcription mechanism, recapitulating their cell-specific gene expression and activation properties [8, 31]. Meanwhile, factors forming a complex with eRNAs can be identified by altering the transcript sequence or transcription itself [47].

eRNA controls genes with multiple eRNA-assigned regions and hnRNPL

Master TFs are examples of genes with multiple eRNA-assigned regions [48]. The distinct combinational module, including MyoD, MyoG, TCF12, TCF3, MEF2D, PBX1, and FoxO3, is involved in SE assembly and eRNA induction in myotubes [49]. These combinational modules with the multiple eRNA-assigned regions serve as a sponge for the eRNA. For example, loss of MyoD enhances the expression of typical enhancers-associated eRNAs (teRNA) and super-enhancer RNA (seRNA) in the myoblast [49]. These eRNAs then regulate the expression of other genes via an hnRNPL interaction. seRNA-1-hnRNPL interaction with the promoter and genic regions of neighboring genes, myoglobin (Mb) and apolipoprotein L6 increase Pol II, cyclin-dependent kinase 9 (CDK9), cyclin T1 (CCNT1), KMT3a, and H3K36me3 binding, inducing RNA expression [49]. Similarly, irregular expression of Bloodlinc and SERPINB2 eRNAs selectively upregulates their respective mRNAs [41].

eRNAs associate with TF Yin-Yang in gene activation

Yin-Yang (YY)1 is a TF that regulates several genes’ transcription. It is recruited by regulatory element RNAs associated with promoter and enhancer sequences [14]. When halted, the abnormal RNA exosome causes an increase in eRNA accumulation but decreased YY1 recruitment to enhancers [14], impeding the transcription of the target genes of YY1 while increasing that of the eRNAs. During transcription, eRNA regulates transcription in YY1 activation in trans and cis [14].

NamiRNA affects transcription while activating its targets

NamiRNAs activate enhancers and eRNA transcription and alter chromatin looping

NamiRNAs have enhancer signatures (e.g., H3K27ac, P300/CBP, and DNase I high-sensitivity loci) and activate gene transcription as enhancer triggers [3, 19]. Over 400 miRNA precursors overlap histone modification markers, including H3K4me1 or H3K27ac on the UCSC browser [19], among which 303 miRNAs gene loci exhibit H3K27ac while the rest were within H3K4me1 [19]. A NamiRNA and its target enhancer activity become linked and function cooperatively when they associate; hence an enhancer’s activity is determined by its target NamiRNA expression pattern [40]. In the NamiRNA-enhancer regulation, enhancer-regulating NamiRNAs are mostly expressed around active enhancers. For example, miR-24-1 and miR-24-3p are around active enhancers and enriched H3K27ac regions [3]. Both NamiRNAs target their enhancers’ promoters and subsequently activate them, leading to the transcription of eRNAs [3].

Moreover, NamiRNA enhancer activation alters some of the enhancer properties, such as affecting transcription and chromatin looping when forming a complex with nAGO2 and Pol II and recruiting p300 to catalyze H3K27ac at activating enhancers [19]. For instance, miR-24 changes a chromatin state by increasing H3K27ac at its target enhancer [3]. Nevertheless, gene activation by NamiRNAs can only be achieved through an active and intact enhancer. This implies that altering an enhancer could result in an inactive or inhibited NamiRNA. Moreover, many NamiRNAs associating with enhancers are cell- and tissue-specific [50]. For example, H3K27ac SEs mark many tissue-specific master miRNAs [40]. Therefore, using its enhancer associated markers or properties such as H3K27ac would be an easy and efficient method to locate NamiRNAs during subsequent research.

NamiRNA activates target genes during transcription

NamiRNAs mainly orchestrate target enhancers and gene activation [3]. The human miRNA 373 was the first nuclear RNA discovered to possess gene activation properties by affecting the transcription of E-cadherin (CDH1) and cold-shock domain-containing protein 2(CSDC2) [51]. NamiRNA has a similar sequence as eRNAs; hence they perform the same activities (e.g., gene activation) with similar mechanisms in cis or trans [9]. The NamiRNA miR-26a-1, when overexpressed, activates the transcription of its neighboring genes integrin alpha-9 (ITGA9) and Villin-like (VILL) located in a 400 kb window [3]. Similarly, the NamiRNA miR-339 upregulates its neighboring gene, G protein-coupled estrogen receptor 1 (GPER), by fourfold [3]. NamiRNA sometimes controls the target gene by inhibiting or activating its upstream suppressor and promoters sharing its transcriptional factors. NamiRNA miR-205 activates tumor suppressor genes interleukin 24 (IL24) and interleukin 32 (IL32) via targeting specific sites in their promoters [52]. In NamiRNA transcriptional gene activation (TGA), nuclear proteins such as nAGO2, nDicer1, and Gw182/TNRC6 assist NamiRNAs in the modification of chromatin, enrichment, and regulation of Pol II and gene promoters [18, 53]. An example of other mechanisms involved in NamiRNAs’ TGA is an interaction with ribosomal proteins in the 5ʹ UTR of the mRNA to induce gene translation by miR-10a [54]. Conclusively, NamiRNAs serve as gene and enhancer transcription triggers [3] and regulators [55].

Model of NamiRNA activation

During TGA, NamiRNAs recruit an nRISC-like structure (containing up to 7 nt) [56] and bind to a complementary sequence on a promoter via their seed regions. The complex cleaves the antisense non-coding transcript and releases the transcriptional repression complex, making the target genes free and activated for transcription [57]. Alternatively, the NamiRNA-nAGO-protein complex (consisting of transcriptional activators) binds to the gene promoter region or the 5ʹ UTR of a nascent RNA (or a pRNA), modifying the chromatin structure into a more proper shape to induce gene transcription [58]. In the nucleus, the targets of NamiRNAs include ncRNA, pri-miRNA, promoter, and enhancer [59].

NamiRNAs can regulate their population in the nucleus and associate with ribosomal RNA in the cytoplasm

NamiRNAs are stored and exist as pri-miRNA and mature miRNAs in the nucleus [3] and can regulate the miRNA population. An example is the mature let-7 NamiRNA [60] in Caenorhabditis elegans, which binds to its pri-miRNA to form a positive feedback loop during its processing [61]. The mouse miR-709 binds to the 19-nt recognition element on pri-miR-15a/16-1, preventing them from processing [62]. This contributes to the concept that the maturity of some miRNAs/NamiRNAs depends on splicing factors [63] and positive feedback looping of other miRNAs/NamiRNAs. Hence controlling a miRNA’s production using its mature miRNA can be productive. NamiRNAs also regulate the abundance of rRNAs by interacting with ribosomal subunits (28S and 45s rRNA). miR-206 interacts with 28S ribosomal RNA (rRNA) in the nucleolus and the cytoplasm of mammalian cells [64], which affects the abundance of rRNA and helps the ribosomes express properties needed for interactions with their binding proteins [65]. The miRNA-nRISC is believed to work as a defense mechanism [66], but it has not yet been fully exploited. The cellular activity similarities between eRNA and NamiRNA in gene activation are summarized in Table 1.

Table 1 Cellular activity similarities between eRNA and NamiRNA

eRNA and NamiRNA co-function in muscle development

eRNA and NamiRNA regulate myogenic regulatory factors, TFs, and myogenic genes during myogenesis

Myogenesis is controlled by a network of epigenetic regulators and transcriptional factors. The myogenic regulatory factor (MRF) members, including myogenic factor 5 (Myf5), MyoD, MyoG, and myogenic regulatory factors (MRF4), are responsible for orchestrating myogenesis. Other myogenic genes such as Paired box gene 3 (Pax3) and Paired box gene 7 (Pax7) mark the presence of these muscle progenitors [71]. Though not all satellite cells express Pax3 and Pax7 in the postnatal myofiber, they activate proliferation-related genes inhibiting differentiation [71]. MyoD and MyoG have similar genome-wide binding profiles in myogenesis that may display enhancer or eRNA features [48]. MyoD controls many myogenic eRNAs, while silencing MyoG affects their expression mildly [48]. MyoD expression in proliferating myoblast is induced by TFs, including FoxO3, Six1/4, Pax3, and Pax7 [72] (Fig. 4). However, MyoD and MyoG exhibit active enhancer signatures (high H3K4me1/H3K4me3 ratio, acetylated histones, and polymerase II-occupied) bound by Pol II and generate RNA (Fig. 3a, b). These aid MyoD in regulating its core enhancer RNA (CERNA) and associated enhancer expression. Alternatively, CERNA activates MyoD expression in cis and DRReRNA (also named MUNC) in trans induces MyoG transcription and muscle differentiation (Fig. 4), suggesting transverse regulation between them [67].

Fig. 3
figure 3

Myogenic genes MyoG (a) and MyoD (b) exhibit enhancer features during myogenesis. MyoD (chromosome chr11:17,719,571–17,722,136; 2,566 bp) and MyoG (chr1:203,083,129–203,086,012; 2,884 bp) exhibits active enhancer signatures such as high H3K4me1-to-H3K4me3 ratio and H3K27ac [[85]. Source: The UCSC Genome Browser database: 2015 update, Dec. 2017 patch release 12. http:// genome-asia.ucsc.edu . MYOD1 (ENST00000250003.4) at chr11:17,719,571–17,722,136—Homo sapiens myogenic differentiation 1 (MYOD1), mRNA. (Ref Seq NM_002478), MYOG (ENST00000241651.5) at chr1:203,083,129–203,086,012—Homo sapiens myogenin (MYOG), mRNA. (from Ref Seq NM_002479); DEC.2013 (GRCh38/hg38)]

Fig. 4
figure 4

CERNA, MUNC, and DRReRNA associate with MyoD and MyoG in cis and trans during myogenesis. MyoD expression is induced by the TFs FoxO3, Six1/4, and Pax3 and Pax7 and regulated by CERNA in cis. However, DRReRNA in trans via interacting with cohesin complex activates MyoG. MUNC via a heterologous promoter in trans promotes endogenous gene expression of MyoD, myogenin, and Myh3. bHLH protein MyoR binds E-proteins directly on MyoD target DNA sequences hence repressing its activities

CERNA and DRReRNA enhance skeletal muscle cell differentiation and Pol II residency at MyoD and MyoG loci, respectively [73] (Fig. 4). DRReRNA exhibits enhancer function in early differentiation while CERNA is transcribed in proliferating myoblasts [48]. During myogenesis DRReRNA in trans via interaction with cohesin complex activates MyoG expression and the rest of the myogenic gene regulatory network without influencing MyoD transcript levels [48]. DRReRNA recruits nascent transcripts of MyoG and associates with protein complexes involved in eRNA biogenesis, such as Integrator and WD Repeat Domain 82 (WDR82) [30]. Following that, DRReRNA via the formation of RNA:RNA interaction or via an RNA/DNA triple helix at the MyoG locus recognizes target intronic regions of the MyoG nascent transcripts [26]. After safely binding to MyoG via these mechanisms, DRReRNA then represses the expression of MyoG in trans. Simultaneously, DRReRNA safeguards proper cohesin loading in trans to regulate gene expression and increase chromatin accessibility. A transcribed eRNA from an enhancer region on mouse chromosome 7 (eRNA) recruited cohesin to regulate the MyoG gene’s transcription on chromosome 1 [26].

Moreover, NamiRNAs enhance some myogenic genes in their myogenic activities. For example, the conserved miR-675-3p and miR-675-5p encoded by exon 1 of H19 empowers H19 to enhance myogenic differentiation [74]. The former performs the above function by suppressing BMP pathway TFs, Smad1, and Smad5. The latter suppresses levels of cell division cycle 6 (Cdc6), a DNA replication initiation factor [74]. The knockdown of activin receptor type-2B (ACVR2B) using 5ʹ UTR and 3ʹ UTR derived muscle creatine kinase (MCK) promoter-driven artificial microRNAs (amiRNAs) caused a decrease in MAD2/3 signaling and SMAD2/3 signaling, respectively. The latter reduces MRFs’ expression and suppresses myogenesis while the former induced decreased MAD2/3 signaling, increased MRF expression, and enhanced proliferation and differentiation of myoblasts in goats [75]. A vivid mechanism of miRNAs’ regulatory mechanisms in muscle development and diseases has been reviewed [76].

Some lincRNAs mimic eRNA

Apart from CERNA and DRReRNA, some lncRNAs regulate myogenesis [77,78,79,80] via orchestrating their neighboring genes independent of their sequence [67]. For example, LncMyoD enhances myogenesis and represses the translation of proliferation genes (N-RAS and c-Myc) via IMP2 (an IGF-2 mRNA binding protein) while functioning as eRNAs [81]. The muscle-specific lncRNA (linc-MD1) associate with Duchenne muscular dystrophy (DMD) to control the expression of transcriptional factors mastermind-like protein 1 (MAML1) and MEF2C [82]. LincRNA Yam-1 represses Wnt7b and activates miR-715 to regulate myogenic differentiation [83].

NamiRNAs colocalize with enhancers and eRNAs

Proposed eRNA and NamiRNA dual gene activation model

eRNAs and NamiRNAs work simultaneously to activate target genes in this proposed model. Chromatin looping and high alteration of chromatin structure before replication proximate target genes and enhancers of both NamiRNA and eRNA, inducing an interaction between the enhancers and genes of eRNAs and NamiRNA. NamiRNAs target the enhancer promoters and subsequently activate them, leading to the transcription of eRNAs [3]. NamiRNA forms a complex with nAGO2 and Pol II and activates markers such as H3K27ac, H3K4me3, and H3K4me1 at active enhancers [18, 19]. The enhancer’s activation is recognized by Pol II, which then transcribes eRNAs [3] (Fig. 5). The eRNAs interacting with CBP and p300 [23] elevate chromatin accessibility for TFs via acetylating histones H3 and H4 at the gene promoter [84]. These activities of eRNAs alter enhancer features such as H3K27ac and DNase hypersensitivity and the binding of TFs [85]. For example, knockdown of eRNAs at their respective enhancer and target-promoter areas decreases H3K27ac but increases H3K27me3 levels [43]. These enhance features at genes’ promoter and attract NamiRNAs. The attracted NamiRNAs overlap within the enhancer markers and form a complex with nAGO2 and recruits p300, catalyzing H3K27ac at the promoter region and activating it (Fig. 5). These predict an interactive eRNA-NamiRNA, starting and improving target genes on the same or different chromosomes during chromatin looping [10, 17]. Transcribed eRNAs may orchestrate miRNA expression since eRNAs can solely regulate gene expression [73].

Fig. 5
figure 5

The proposed model of eRNAs and NamiRNAs cooperatively enhancing and activating target genes. NamiRNAs form a complex with AGO2 and p300; they bind to enhancers and activate markers such as H3K27ac and H3K27me3, which attract RNA polymerase to recognize and translate the enhancer. Transcribed RNAs bind to p300 and other proteins to activate enhancer features at the target gene’s promoters. The attracted NamiRNAs then attach to the gene’s promoter and subsequently activate the target gene’s expression

eRNAs and NamiRNAs located on different chromosomes may interact during their activities

NamiRNAs and eRNAs located on different chromosomes may interact and perform similar functions. For example, miR-17 from miR-17HG interacts with NET1e, an eRNA transcribed from a close enhancer of the NET1 gene to induce drug resistance (Table 2). Overexpressed miR-17 knocks down PTEN (its target tumor suppressor), activating other downstream cellular components such as AKT and hypoxia-inducible factor-1α (HIF-1α) [86]. Similarly, NET1e interacts with the NET1 to form subsequent resistance to induced compounds and drugs, hence worsening cell survival and increasing tumor growth [87]. And overexpressing NET1e caused drug resistance to the PI3K inhibitor and BCL-2 inhibitor in MCF7 cells via PI3k-Akt pathways [87]. It can be speculated that NET1e can function similarly to miR-17 since both exhibit Akt pathways during their drug resistance activities, indicating an interaction between them (Fig. 6a).

Table 2 Some diseases and therapeutics involving both miRNA and eRNA
Fig. 6
figure 6

Proposed eRNA and NamiRNA interaction in drug resistance (a) and breast cancer tumorigenesis (b). During drug resistance, overexpressed miR-17 represses PTEN leading to the activation of the PI3K-Akt pathway and HIF-1α. Simultaneously, Net1e increases the expression of NET1 while inhibiting the PI3K inhibitor and BCL-2. NET1 and NET1e interact with miR-17 via the PI3K-Akt pathway to inhibit apoptosis and increase tumor growth, while NET1 causes induced drug resistance (a). In breast cancer, fibroblast growth factor receptor 2 interacts with NET1e, the Estrogen receptor (ER), to regulate BRCA and other cancer genes, which are targets of miR-200b ~ 200a ~ 429. These trigger an interaction between miR-200b ~ 200a ~ 429, ER, NET1e, and ER-associated genes leading to tumor suppression, increased proliferation, and inhibited apoptosis in breast cancer cells

Moreover, NamiRNAs and eRNAs contribute to cancer drug resistance through enhanced drug efflux, altered drug metabolism, and enhanced anti-apoptosis pathways [88]. In tumor suppression and apoptosis, eRNAs originating from p53-bound enhancer regions (p53BERs) are required for p53-dependent cell-cycle arrest; NamiRNA miR-17–92 suppresses chromatin regulatory genes (Sin3b, Hbp1, Suv420h1, and Btg1) and the apoptosis regulator (Bim) via similar TFs (such as AGO2 and FOXA1) to regulate cell survival and autonomous proliferation [89]. Another example of eRNA-NamiRNA dual interaction is the proposed model of Net1e and miR-200b ~ 200a ~ 429 in breast cancer. The miR-200b ~ 200a ~ 429 gene produces miR-200b eRNAs from an enhancer located approximately 5.1 kb upstream [90]. miR-200b ~ 200a ~ 429 targets BRCA associated proteins and orchestrates their expression in cancer. Moreover, fibroblast growth factor receptor 2 (FGFR2) interacts with NET1e and the estrogen receptor (ER); ER associates with BRCA and other cancer genes that are targets of miR-200b ~ 200a ~ 429. These connect miR-200b ~ 200a ~ 429, miR-200b eRNA, NET1e, and ER-associated genes, leading to breast cancer regulation by controlling tumor suppression, proliferation, and apoptosis (Fig. 6b). The activities and expression of these RNAs can be a predictive factor in monitoring the expression of genes associated with the eRNAs mentioned above in breast cancer. These observations demonstrate that chromatin looping aids the interaction between eRNAs and NamiRNAs, which associates and works hand in hand to regulate cellular activities.

eRNA and NamiRNA action in disease diagnosis

Recently, SEs, enhancers, and eRNAs have been used as factors for analyzing, mapping, and studying a broad range of conditions, including autoimmunity [103], cancer [101], and muscle-related disease such as muscular dystrophies [104]. About 80% of genes in the canonical cancer signaling pathways are associated with specific eRNAs [87] and NamiRNAs in at least one cancer type. A genome-wide association study found eRNAs or SEs near known genetic variants for autoimmune disease risk in autoimmune disease patients, hence serving as biomarkers [103], which makes disease diagnostics easy [22, 109].

Moreover, eRNAs and NamiRNAs explore autophagy, apoptosis, and signaling pathways to regulate diseases. For instance, overexpression of the NamiRNA miR-378/378 enhances autophagy and represses apoptosis by targeting caspase 9, while the opposite reduces autophagy and accumulates abnormal mitochondria, and enhances apoptosis. These miRNAs target the rapamycin (mTOR)/unc-51-like autophagy activating kinase 1 pathway to inhibit apoptosis, and target phosphoinositide-dependent protein kinase 1 to maintain autophagy via Forkhead box class O (FoxO)-mediated transcriptional reinforcement [97]. Alternatively, the knockdown of growth-regulating estrogen receptor binding 1 (GREB1) eRNA enhances apoptosis and represses proliferation in bladder cancer [105]. These small RNA molecules, i.e., NamiRNA and eRNA, are predicted to contribute to cancer drug resistance through enhanced drug efflux, altered drug metabolism, overexpression of target molecules, and enhanced survival anti-apoptosis pathways [88]. Subsequent downregulation of NamiRNAs miR-34, miR-17, and let-7a is associated with sensitivity to drugs commonly used as cancer treatments.

eRNA and NamiRNA activities in therapeutics

NamiRNA and eRNA are the next options in diagnosing, treating, and studying the pathogenesis of diseases that are not associated with current biomarkers [106]. People can exploit these biomarkers regarding the dysregulation of genes and mRNAs in myopathy and other disorders. Concerning this effort, the USA FDA approved its first siRNA drug (patisiran infusion) in 2018 to treat peripheral nerve disease caused by hereditary transthyretin-mediated amyloidosis [107]. Moreover, the drug’s therapeutic mechanism is based on silencing the RNA that causes the disease. eRNAs are now known to play roles in diseases such as myopathy; hence eRNA-targeted therapy [108] may be the next option. However, the environmental conditions or manipulation affects the expression and activities of NamiRNAs and eRNAs in diseases. Likewise, epigenetic factors also regulate eRNAs and NamiRNAs. For instance, epigenetic silencing of cell or tissue-specific eRNAs or NamiRNAs (e.g., miR-495 [96], Epstein–Barr virus super-enhancer eRNAs [109], and miR-335 [110]) can induce proliferation. Table 2 presents some diseases and therapeutics involving both eRNA and NamiRNA.

Conclusion

Briefly, NamiRNAs activate enhancers to initiate eRNA transcription. The transcribed eRNAs then interact with NamiRNA through chromatin looping to orchestrate the expression of their target genes via similar TFs and mechanisms such as eRNA-NamiRNA dual gene activation, enhancer-promoter interactions, chromatin looping, and signaling pathways. eRNAs and NamiRNA use a similar tool in their activities to associate with enhancers and their target genes, which gives them functional similarities concerning their association with myogenesis (Table 1), myopathy, and therapeutics (Table 2). NamiRNAs and eRNAs such as MUNC, CERNA, and DRReRNA effectively regulate myogenic genes and factors during myogenesis (Fig. 4). Hence, we deem eRNAs as functional molecules, transcriptional regulators, and partners of NamiRNAs.

The building of data portals for biomolecular markers such as eRic for eRNAs [87] can be used to provide prognostic markers for the future prediction of disease risk and progression. Moreover, the adverse effects of eRNA and NamiRNA inhibitors and other RNAs can enhance myogenesis, diseases, and therapeutics; hence exploring their genetic alterations will benefit both humans and animals. Using CRISPR /Cas 9, TALENS, and other modern genetic editing tools, several options help to unveil NamiRNA- and eRNA-associated regulations. These can be applied in therapeutics related to myogenesis and transcription. However, safety issues, including off-target effects and confirmation of the proposed models in this review, still need to be addressed.

Some current challenges associated with eRNA and NamiRNAs need to be explored to understand these molecules better. Firstly, most proposed models have not been tested; hence the field requires more research. Some enhancers lack H2K27ac; this results in Pol II biased transcription; therefore, a solution to this problem would be beneficial [28]. Moreover, cellular pathways of diseases expressing the proposed interaction of NamiRNA and eRNAs need to be studied to confirm these models; perhaps there is more to it than we know. Also, monitoring the interaction between eRNA and NamiRNAs is difficult; hence an in vivo imaging system or other bioluminescence methods need to monitor their interaction during chromatin looping and gene activation. However, there is no database designed to document and map eRNA-NamiRNA interactions with genes and enhancers. There are still some misconceptions about the proteins responsible for NamiRNA processing; thus identifying all the cellular molecules that may regulate the processing and activation of NamiRNAs in the nucleus and the transportation of NamiRNAs from the cytoplasm to the nucleus is necessary. Lastly, it is essential to determine whether the NamiRNA uses the same seed sequence to activate target enhancers and genes.

Availability of data and materials

The datasets generated and/or analyzed during the current study are available in The UCSC Genome Browser database: 2015 update, Dec. 2017 patch release 12. http:// genome-asia.ucsc.edu [111] repository [source for Fig. 3 A (MYOD1 (ENST00000250003.4) at chr11:17,719,571–17,722,136 – Homo sapiens myogenic differentiation 1 (MYOD1), mRNA. (Ref Seq NM_002478), B (MYOG (ENST00000241651.5) at chr1:203,083,129–203,086,012 – Homo sapiens myogenin (MYOG), mRNA. (from Ref Seq NM_002479)); DEC.2013 (GRCh38/hg38)].

Abbreviations

ACVR2B:

Activin receptor type-2B

ADAMDEC1:

ADAM-like Decysin 1

AGO2:

Argonaute 2

amiRNAs:

Artificial microRNAs

Apol6:

Apolipoprotein L6

BAPB:

BRCA1 associated protein

BCCIP:

BRCA2 and CDKN1A interacting protein

BDs:

Broad domains

bHLH:

Basic helix-loop-helix

BRD4:

Bromodomain-containing protein 4

BRDs:

Extra-terminal motif (BET) proteins

BRIP1:

BRCA1 interacting protein C-terminal helicase 1

CCNT1:

Cyclin T1

Cdc6:

Cell division cycle 6

CDH1:

E-cadherin

CDK9:

Cyclin-dependent kinase 9

CERNA:

Core enhancer RNA

Cga:

Chorionic gonadotropin alpha

CRISPR:

Clustered regularly interspaced short palindromic repeats

CSDC2:

Cold-shock domain-containing protein 2

CTD:

C-terminal domain

CTRP:

Cancer Therapeutics Response Portal

CTX:

Cardiotoxin

DMD:

Duchenne muscular dystrophy

DRReRNA:

Distal regulatory regions RNA

ds-pri-miRNA:

Double-stranded primary miRNA

E:P:

Enhancer:promoter

ER:

Estrogen receptor

eRNA:

Enhancer RNA

ER-α:

Estrogen receptor α

FoxO:

Forkhead box class O

FOXO1:

Forkhead box protein O1

FoxO3:

Forkhead box protein O3

FXR1:

Fragile X mental retardation syndrome-related protein 1

GPER:

G protein-coupled estrogen receptor 1

GREB1:

Growth-regulating estrogen receptor binding 1

hnRNPL:

Heterogeneous nuclear ribonucleoprotein L

HuR:

Human antigen R

IL24:

Interleukin 24

IL32:

Interleukin 32

ITGA9:

Integrin alpha-9

linc-MD1:

Muscle-specific lncRNA

lncRNA:

Long non-coding RNA

m½-sbsRNAs:

Mouse Staufen1-binding site RNAs

Malat1:

Metastasis-associated lung adenocarcinoma transcript 1

MAML1:

Mastermind-like protein 1

MAP kinase:

Mitogen-activated protein kinase

Mb:

Myoglobin

MCK:

Muscle creatine kinase

MEF2A:

Myocyte-specific enhancer factor 2A

MEF2C:

Myocyte-specific enhancer factor 2C

MEF2D:

Myocyte-specific enhancer factor 2D

miRNA:

Micro RNA

MRF4:

Myogenic regulatory factor 4

MRFs:

Myogenic regulatory factors

mTOR:

Mammalian target of rapamycin

Myf5:

Myogenic factor 5

MyoD1:

Myoblast determination protein 1

MyoG:

Myogenin

nAGO2:

Nuclear Argonaute 2

NamiRNA:

Nuclear activating miRNA

ncRNA:

Non-coding RNA

nDicer:

Nuclear Dicer

NELF:

Negative elongation factor

NET1e:

NET1 enhancer RNA

nRISC:

Nuclear RISC

nt:

Nucleotides

nTRBP:

Nuclear TRBP

nTRBP/PACT:

Nuclear TRBP/PACT

p53BERs:

P53 bound enhancer RNAs

PAF:

PAF1 complex

PAS:

Poly(A) signals

Pax3:

Paired box gene 3

Pax7:

Paired box gene 7

PBX1:

Pre-B-cell leukemia TF 1

PDK1:

Phosphoinositide-dependent protein kinase 1

Pitx2:

Paired-like homeodomain factor 2

PRC2:

Polycomb repressive complex 2

pRNA:

A nascent RNA or a non-coding promoter transcript

P-TEFB:

Positive transcription elongation factor b

RISC:

RNA-induced silencing complex

RNA Pol II:

Pol II

RNase III:

RNA ribonuclease III

rRNA:

Ribosomal RNA

SE:

Super-enhancers

seRNA:

Super enhancer RNA

SERPINB2:

Serpin family B member 2

snRNAs:

Nuclear RNAs

SPT6:

Transcription elongation factor SPT6

SRA:

Steroid receptor RNA activator

TAD:

Topologically associating domain

TALEN:

Transcription activator-like effector nuclease

TCF12:

TF 12

TCF3:

TF 3

teRNA:

Typical enhancers associated eRNAs

TF:

Transcription factors

TGA:

Transcriptional gene activation

TGS:

Transcriptional gene silencing

TRBP:

Transactivation-response RNA-binding protein

TSS:

Transcription start site

ULK1:

Unc-51-like autophagy activating kinase 1

UTR:

Untranslated region

VILL:

Villin like

WDR82:

WD repeat domain 82

YYI:

Yin-Yang I

References

  1. Lee RC, Feinbaum RL, Ambros V. The C elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14. Cell. 1993;75:843–54. https://doi.org/10.1016/0092-8674(93)90529-Y.

    Article  CAS  PubMed  Google Scholar 

  2. Younger ST, Pertsemlidis A, Corey DR. Predicting potential miRNA target sites within gene promoters. Bioorg Med Chem Lett. 2009;19:3791–4. https://doi.org/10.1016/j.bmcl.2009.04.032.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Xiao M, Li J, Li W, Wang Y, Wu F, Xi Y, et al. MicroRNAs activate gene transcription epigenetically as an enhancer trigger. RNA Biol. 2017;14:1326–34. https://doi.org/10.1080/15476286.2015.1112487.

    Article  PubMed  Google Scholar 

  4. Lewis BP, Burge CB, Bartel DP. Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA Targets. Cell. 2005;120:15–20. https://doi.org/10.1016/j.cell.2004.12.035.

    Article  CAS  PubMed  Google Scholar 

  5. Friedman RC, Farh KKH, Burge CB, Bartel DP. Most mammalian mRNAs are conserved targets of microRNAs. Genome Res. 2009;19:92–105. https://doi.org/10.1101/gr.082701.108.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Ding M, Liu Y, Liao X, Zhan H, Liu Y, Huang W. Enhancer RNAs (eRNAs): New Insights into Gene Transcription and Disease Treatment. J Cancer. 2018;9:2334–40. https://doi.org/10.7150/jca.25829.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Giles KE, Woolnough JL, Atwood B. Chapter 6-ncRNA function in chromatin organization. In: Huang S, Litt MD, Blakey EGE, editors. Oxford: Academic Press; 2015. p. 117–48. doi: https://doi.org/10.1016/B978-0-12-799958-6.00006-8.

  8. Ong C-T, Corces VG. Enhancers: emerging roles in cell fate specification. EMBO Rep. 2012;13:423–30. https://doi.org/10.1038/embor.2012.52.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Cheng JH, Pan DZC, Tsai ZTY, Tsai HK. Genome-wide analysis of enhancer RNA in gene regulation across 12 mouse tissues. Sci Rep. 2015;5:12648. https://doi.org/10.1038/srep12648.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Hsieh C-L, Fei T, Chen Y, Li T, Gao Y, Wang X, et al. Enhancer RNAs participate in androgen receptor-driven looping that selectively enhances gene activation. Proc Natl Acad Sci U S A. 2014;111:7319–24. https://doi.org/10.1073/pnas.1324151111.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Melo CA, Drost J, Wijchers PJ, van de Werken H, de Wit E, Vrielink JAFO, et al. eRNAs Are Required for p53-Dependent Enhancer Activity and Gene Transcription. Mol Cell. 2013;49:524–35. https://doi.org/10.1016/j.molcel.2012.11.021.

    Article  CAS  PubMed  Google Scholar 

  12. Banerji J, Rusconi S, Schaffner W. Expression of a β-globin gene is enhanced by remote SV40 DNA sequences. Cell. 1981;27:299–308. https://doi.org/10.1016/0092-8674(81)90413-X.

    Article  CAS  PubMed  Google Scholar 

  13. Lewis MW, Li S, Franco HL. Transcriptional control by enhancers and enhancer RNAs. Transcription. 2019;10:171–86. https://doi.org/10.1080/21541264.2019.1695492.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Sigova AA, Abraham BJ, Ji X, Molinie B, Hannett NM, Guo YE, et al. Transcription factor trapping by RNA in gene regulatory elements. Science. 2015;350:978–81. https://doi.org/10.1126/science.aad3346.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Djebali S, Davis CA, Merkel A, Dobin A, Lassmann T, Mortazavi A, et al. Landscape of transcription in human cells. Nature. 2012;489:101–8. https://doi.org/10.1038/nature11233.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Andersson R, Gebhard C, Miguel-Escalada I, Hoof I, Bornholdt J, Boyd M, et al. An atlas of active enhancers across human cell types and tissues. Nature. 2014;507:455–61. https://doi.org/10.1038/nature12787.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Kim T-K, Hemberg M, Gray JM, Costa AM, Bear DM, Wu J, et al. Widespread transcription at neuronal activity-regulated enhancers. Nature. 2010;465:182–7. https://doi.org/10.1038/nature09033.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Vaschetto LM. miRNA activation is an endogenous gene expression pathway. RNA Biol. 2018;15:826–8. https://doi.org/10.1080/15476286.2018.1451722.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Zou Q, Liang Y, Luo H, Yu W. miRNA-Mediated RNAa by Targeting Enhancers BT - RNA Activation. In: Li L-C, editor. Singapore: Springer Singapore; 2017. p. 113–25. https://doi.org/10.1007/978-981-10-4310-9_8.

  20. Berk AJ. Activation of RNA polymerase II transcription. Curr Opin Cell Biol. 1999;11:330–5. https://doi.org/10.1016/S0955-0674(99)80045-3.

    Article  CAS  PubMed  Google Scholar 

  21. Vos SM, Farnung L, Boehning M, Wigge C, Linden A, Urlaub H, et al. Structure of activated transcription complex Pol II–DSIF–PAF–SPT6. Nature. 2018;560:607–12. https://doi.org/10.1038/s41586-018-0440-4.

    Article  CAS  PubMed  Google Scholar 

  22. Shi L, Li S, Maurer K, Zhang Z, Petri M, Sullivan KE. Enhancer RNA and NFκB-dependent P300 regulation of ADAMDEC1. Mol Immunol. 2018;103:312–21. https://doi.org/10.1016/j.molimm.2018.09.019.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Bose DA, Donahue G, Reinberg D, Shiekhattar R, Bonasio R, Berger SL. RNA Binding to CBP Stimulates Histone Acetylation and Transcription. Cell. 2017;168(135–149):e22. https://doi.org/10.1016/j.cell.2016.12.020.

    Article  CAS  Google Scholar 

  24. Lai F, Orom UA, Cesaroni M, Beringer M, Taatjes DJ, Blobel GA, et al. Activating RNAs associate with Mediator to enhance chromatin architecture and transcription. Nature. 2013;494:497–501. https://doi.org/10.1038/nature11884.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Rahnamoun H, Lee J, Sun Z, Lu H, Ramsey KM, Komives EA, et al. RNAs interact with BRD4 to promote enhanced chromatin engagement and transcription activation. Nat Struct Mol Biol. 2018;25:687–97. https://doi.org/10.1038/s41594-018-0102-0.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Tsai P-F, Dell’Orso S, Rodriguez J, Vivanco KO, Ko K-D, Jiang K, et al. A muscle-specific enhancer RNA mediates cohesin recruitment and regulates transcription in trans. Mol Cell. 2018;71(129–141):e8. https://doi.org/10.1016/j.molcel.2018.06.008.

    Article  CAS  Google Scholar 

  27. Descostes N, Heidemann M, Spinelli L, Schüller R, Maqbool MA, Fenouil R, et al. Tyrosine phosphorylation of RNA polymerase II CTD is associated with antisense promoter transcription and active enhancers in mammalian cells. Elife. 2014;3:e02105–e02105. https://doi.org/10.7554/eLife.02105.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Heintzman ND, Stuart RK, Hon G, Fu Y, Ching CW, Hawkins RD, et al. Distinct and predictive chromatin signatures of transcriptional promoters and enhancers in the human genome. Nat Genet. 2007;39:311–8. https://doi.org/10.1038/ng1966.

    Article  CAS  PubMed  Google Scholar 

  29. Mikhaylichenko O, Bondarenko V, Harnett D, Schor IE, Males M, Viales RR, et al. The degree of enhancer or promoter activity is reflected by the levels and directionality of eRNA transcription. Genes Dev. 2018;32:42–57. https://doi.org/10.1101/gad.308619.117.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Lai F, Gardini A, Zhang A, Shiekhattar R. Integrator mediates the biogenesis of enhancer RNAs. Nature. 2015;525:399–403. https://doi.org/10.1038/nature14906.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Pefanis E, Wang J, Rothschild G, Lim J, Kazadi D, Sun J, et al. RNA exosome-regulated long non-coding RNA transcription controls super-enhancer activity. Cell. 2015;161:774–89. https://doi.org/10.1016/j.cell.2015.04.034.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Gagnon KT, Li L, Chu Y, Janowski BA, Corey DR. RNAi factors are present and active in human cell nuclei. Cell Rep. 2014;6:211–21. https://doi.org/10.1016/j.celrep.2013.12.013.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Denli AM, Tops BBJ, Plasterk RHA, Ketting RF, Hannon GJ. Processing of primary microRNAs by the Microprocessor complex. Nature. 2004;432:231–5. https://doi.org/10.1038/nature03049.

    Article  CAS  PubMed  Google Scholar 

  34. Han J, Lee Y, Yeom K-H, Nam J-W, Heo I, Rhee J-K, et al. Molecular Basis for the Recognition of Primary microRNAs by the Drosha-DGCR8 Complex. Cell. 2006;125:887–901. https://doi.org/10.1016/j.cell.2006.03.043.

    Article  CAS  PubMed  Google Scholar 

  35. Zhang H, Kolb FA, Jaskiewicz L, Westhof E, Filipowicz W. Single Processing Center Models for Human Dicer and Bacterial RNase III. Cell. 2004;118:57–68. https://doi.org/10.1016/j.cell.2004.06.017.

    Article  CAS  PubMed  Google Scholar 

  36. Ohrt T, Mütze J, Staroske W, Weinmann L, Höck J, Crell K, et al. Fluorescence correlation spectroscopy and fluorescence cross-correlation spectroscopy reveal the cytoplasmic origination of loaded nuclear RISC in vivo in human cells. Nucleic Acids Res. 2008;36:6439–49. https://doi.org/10.1093/nar/gkn693.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Vasudevan S, Tong Y, Steitz JA. Switching from Repression to Activation: MicroRNAs Can Up-Regulate Translation. Science. 2007;318:1931–4. https://doi.org/10.1126/science.1149460.

    Article  CAS  PubMed  Google Scholar 

  38. Fukunaga R, Han BW, Hung J-H, Xu J, Weng Z, Zamore PD. Dicer Partner Proteins Tune the Length of Mature miRNAs in Flies and Mammals. Cell. 2012;151:533–46. https://doi.org/10.1016/j.cell.2012.09.027.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Cheloufi S, Dos Santos CO, Chong MMW, Hannon GJ. A dicer-independent miRNA biogenesis pathway that requires Ago catalysis. Nature. 2010;465:584–9. https://doi.org/10.1038/nature09092.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Suzuki HI, Young RA, Sharp PA. Super-Enhancer-Mediated RNA Processing Revealed by Integrative MicroRNA Network Analysis. Cell. 2017;168(1000–1014):e15. https://doi.org/10.1016/j.cell.2017.02.015.

    Article  CAS  Google Scholar 

  41. Shii L, Song L, Maurer K, Zhang Z, Sullivan KE. SERPINB2 is regulated by dynamic interactions with pause-release proteins and enhancer RNAs. Mol Immunol. 2017;88:20–31. https://doi.org/10.1016/j.molimm.2017.05.005.

    Article  CAS  PubMed  Google Scholar 

  42. Cinghu S, Yang P, Kosak JP, Conway AE, Kumar D, Oldfield AJ, et al. Intragenic enhancers attenuate host gene expression. Mol Cell. 2017;68(104–117):e6. https://doi.org/10.1016/j.molcel.2017.09.010.

    Article  CAS  Google Scholar 

  43. Pnueli L, Rudnizky S, Yosefzon Y, Melamed P. RNA transcribed from a distal enhancer is required for activating the chromatin at the promoter of the gonadotropin α-subunit gene. Proc Natl Acad Sci U S A. 2015;112:4369–74. https://doi.org/10.1073/pnas.1414841112.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Li W, Notani D, Ma Q, Tanasa B, Nunez E, Chen AY, et al. Functional roles of enhancer RNAs for oestrogen-dependent transcriptional activation. Nature. 2013;498:516–20. https://doi.org/10.1038/nature12210.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Roy D, Yu K, Lieber MR. Mechanism of R-loop formation at immunoglobulin class switch sequences. Mol Cell Biol. 2008;28:50–60. https://doi.org/10.1128/MCB.01251-07.

    Article  CAS  PubMed  Google Scholar 

  46. Hamperl S, Cimprich KA. The contribution of co-transcriptional RNA:DNA hybrid structures to DNA damage and genome instability. DNA Repair (Amst). 2014;19:84–94. https://doi.org/10.1016/j.dnarep.2014.03.023.

    Article  CAS  Google Scholar 

  47. Rothschild G, Basu U. Lingering questions about enhancer RNA and enhancer transcription-coupled genomic instability. Trends Genet. 2017;33:143–54. https://doi.org/10.1016/j.tig.2016.12.002.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Mousavi K, Zare H, Dellorso S, Grontved L, Gutierrez-Cruz G, Derfoul A, et al. eRNAs promote transcription by establishing chromatin accessibility at defined genomic loci. Mol Cell. 2013;51:606–17. https://doi.org/10.1016/j.molcel.2013.07.022.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Zhao Y, Zhou J, He L, Li Y, Yuan J, Sun K, et al. MyoD induced enhancer RNA interacts with hnRNPL to activate target gene transcription during myogenic differentiation. Nat Commun. 2019;10:5787. https://doi.org/10.1038/s41467-019-13598-0.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Hu R, Kagele DA, Huffaker TB, Runtsch MC, Alexander M, Liu J, et al. miR-155 Promotes T follicular helper cell accumulation during chronic. Low-Grade Inflam Immunity. 2014;41:605–19. https://doi.org/10.1016/j.immuni.2014.09.015.

    Article  CAS  Google Scholar 

  51. Place RF, Li L-C, Pookot D, Noonan EJ, Dahiya R. MicroRNA-373 induces expression of genes with complementary promoter sequences. Proc Natl Acad Sci U S A. 2008;105:1608–13. https://doi.org/10.1073/pnas.0707594105.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Majid S, Dar AA, Saini S, Yamamura S, Hirata H, Tanaka Y, et al. MicroRNA-205-directed transcriptional activation of tumor suppressor genes in prostate cancer. Cancer. 2010;116:5637–49. https://doi.org/10.1002/cncr.25488.

    Article  CAS  PubMed  Google Scholar 

  53. Catalanotto C, Cogoni C, Zardo G. MicroRNA in control of gene expression: an overview of nuclear functions. Int J Mol Sci. 2016;17:1712. https://doi.org/10.3390/ijms17101712.

    Article  CAS  PubMed Central  Google Scholar 

  54. Ørom UA, Nielsen FC, Lund AH. MicroRNA-10a binds the 5′UTR of ribosomal protein mRNAs and enhances their translation. Mol Cell. 2008;30:460–71. https://doi.org/10.1016/j.molcel.2008.05.001.

    Article  CAS  PubMed  Google Scholar 

  55. Zhang Y, Fan M, Geng G, Liu B, Huang Z, Luo H, et al. A novel HIV-1-encoded microRNA enhances its viral replication by targeting the TATA box region. Retrovirology. 2014;11:23. https://doi.org/10.1186/1742-4690-11-23.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Becker WR, Ober-Reynolds B, Jouravleva K, Jolly SM, Zamore PD, Greenleaf WJ. High-throughput analysis reveals rules for target RNA binding and cleavage by AGO2. Mol Cell. 2019;75(741–755):e11. https://doi.org/10.1016/j.molcel.2019.06.012.

    Article  CAS  Google Scholar 

  57. Modarresi F, Faghihi MA, Lopez-Toledano MA, Fatemi RP, Magistri M, Brothers SP, et al. Inhibition of natural antisense transcripts in vivo results in gene-specific transcriptional upregulation. Nat Biotechnol. 2012;30:453–9. https://doi.org/10.1038/nbt.2158.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Matsui M, Chu Y, Zhang H, Gagnon KT, Shaikh S, Kuchimanchi S, et al. Promoter RNA links transcriptional regulation of inflammatory pathway genes. Nucleic Acids Res. 2013;41:10086–109. https://doi.org/10.1093/nar/gkt777.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Liu H, Lei C, He Q, Pan Z, Xiao D, Tao Y. Nuclear functions of mammalian MicroRNAs in gene regulation, immunity and cancer. Mol Cancer. 2018;17:64. https://doi.org/10.1186/s12943-018-0765-5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Liu J, Zhu L, Xie G, Bao J, Yu Q. Let-7 miRNAs modulate the activation of NF-κB by targeting TNFAIP3 and are involved in the pathogenesis of lupus nephritis. PLoS ONE. 2015;10:e0121256–e0121256. https://doi.org/10.1371/journal.pone.0121256.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Zisoulis DG, Kai ZS, Chang RK, Pasquinelli AE. Autoregulation of microRNA biogenesis by let-7 and Argonaute. Nature. 2012;486:541–4. https://doi.org/10.1038/nature11134.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. Tang R, Li L, Zhu D, Hou D, Cao T, Gu H, et al. Mouse miRNA-709 directly regulates miRNA-15a/16-1 biogenesis at the posttranscriptional level in the nucleus: evidence for a microRNA hierarchy system. Cell Res. 2012;22:504–15. https://doi.org/10.1038/cr.2011.137.

    Article  CAS  PubMed  Google Scholar 

  63. Wu H, Sun S, Tu K, Gao Y, Xie B, Krainer AR, et al. A splicing-independent function of SF2/ASF in microRNA processing. Mol Cell. 2010;38:67–77. https://doi.org/10.1016/j.molcel.2010.02.021.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Politz JCR, Zhang F, Pederson T. MicroRNA-206 colocalizes with ribosome-rich regions in both the nucleolus and cytoplasm of rat myogenic cells. Proc Natl Acad Sci USA. 2006;103:18957–62. https://doi.org/10.1073/pnas.0609466103.

    Article  CAS  PubMed  Google Scholar 

  65. Atwood BL, Woolnough JL, Lefevre GM, Saint M, Felsenfeld G, Giles KE. Human Argonaute 2 Is Tethered to Ribosomal RNA through MicroRNA Interactions. J Biol Chem. 2016;291:17919–28. https://doi.org/10.1074/jbc.M116.725051.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  66. Li ZF, Liang YM, Lau PN, Shen W, Wang DK, Cheung WT, et al. Dynamic localisation of mature microRNAs in Human nucleoli is influenced by exogenous genetic materials. PLoS ONE. 2013;8:e70869–e70869. https://doi.org/10.1371/journal.pone.0070869.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  67. Neguembor MV, Jothi M, Gabellini D. Long noncoding RNAs, emerging players in muscle differentiation and disease. Skelet Muscle. 2014;4:8. https://doi.org/10.1186/2044-5040-4-8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  68. Liu J, Hu J, Corey DR. Expanding the action of duplex RNAs into the nucleus: redirecting alternative splicing. Nucleic Acids Res. 2012;40:1240–50. https://doi.org/10.1093/nar/gkr780.

    Article  CAS  PubMed  Google Scholar 

  69. Toscano-Garibay JD, Aquino-Jarquin G. Transcriptional regulation mechanism mediated by miRNA-DNA•DNA triplex structure stabilized by Argonaute. Biochim Biophys Acta. 2014;1839:1079–83. https://doi.org/10.1016/j.bbagrm.2014.07.016.

    Article  CAS  PubMed  Google Scholar 

  70. Kim DH, Saetrom P, Snøve O Jr, Rossi JJ. MicroRNA-directed transcriptional gene silencing in mammalian cells. Proc Natl Acad Sci U S A. 2008;105:16230–5. https://doi.org/10.1073/pnas.0808830105.

    Article  PubMed  PubMed Central  Google Scholar 

  71. Soleimani VD, Punch VG, Kawabe Y, Jones AE, Palidwor GA, Porter CJ, et al. Transcriptional dominance of Pax7 in adult myogenesis is due to high-affinity recognition of homeodomain motifs. Dev Cell. 2012;22:1208–20. https://doi.org/10.1016/j.devcel.2012.03.014.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  72. Hu P, Geles KG, Paik J-H, DePinho RA, Tjian R. Codependent activators direct myoblast-specific MyoD transcription. Dev Cell. 2008;15:534–46. https://doi.org/10.1016/j.devcel.2008.08.018.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  73. Cui S, Li L, Mubarokah SN, Meech R. Wnt/β-catenin signaling induces the myomiRs miR-133b and miR-206 to suppress Pax7 and induce the myogenic differentiation program. J Cell Biochem. 2019;120:12740–51. https://doi.org/10.1002/jcb.28542.

    Article  CAS  PubMed  Google Scholar 

  74. Dey BK, Pfeifer K, Dutta A. The H19 long noncoding RNA gives rise to microRNAs miR-675-3p and miR-675-5p to promote skeletal muscle differentiation and regeneration. Genes Dev. 2014;28:491–501. https://doi.org/10.1101/gad.234419.113.

    Article  PubMed  PubMed Central  Google Scholar 

  75. Patel AK, Shah RK, Patel UA, Tripathi AK, Joshi CG. Goat activin receptor type IIB knockdown by muscle specific promoter driven artificial microRNAs. J Biotechnol. 2014;187:87–97. https://doi.org/10.1016/j.jbiotec.2014.07.450.

    Article  CAS  PubMed  Google Scholar 

  76. Kyei B, Li L, Yang L, Zhan S, Zhang H. CDR1as/miRNAs-related regulatory mechanisms in muscle development and diseases. Gene. 2020;730:144315. https://doi.org/10.1016/j.gene.2019.144315.

    Article  CAS  PubMed  Google Scholar 

  77. Gong C, Tang Y, Maquat LE. mRNA-mRNA duplexes that autoelicit Staufen1-mediated mRNA decay. Nat Struct Mol Biol. 2013;20:1214–20. https://doi.org/10.1038/nsmb.2664.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  78. Mueller AC, Cichewicz MA, Dey BK, Layer R, Reon BJ, Gagan JR, et al. MUNC, a long noncoding RNA that facilitates the function of MyoD in skeletal myogenesis. Mol Cell Biol. 2015;35:498–513. https://doi.org/10.1128/MCB.01079-14.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  79. Hubé F, Velasco G, Rollin J, Furling D, Francastel C. Steroid receptor RNA activator protein binds to and counteracts SRA RNA-mediated activation of MyoD and muscle differentiation. Nucleic Acids Res. 2011;39:513–25. https://doi.org/10.1093/nar/gkq833.

    Article  CAS  PubMed  Google Scholar 

  80. Han X, Yang F, Cao H, Liang Z. Malat1 regulates serum response factor through miR-133 as a competing endogenous RNA in myogenesis. FASEB J. 2015;29:3054–64. https://doi.org/10.1096/fj.14-259952.

    Article  CAS  PubMed  Google Scholar 

  81. Gong C, Li Z, Ramanujan K, Clay I, Zhang Y, Lemire-Brachat S, et al. A Long Non-coding RNA, LncMyoD, Regulates Skeletal Muscle Differentiation by Blocking IMP2-Mediated mRNA Translation. Dev Cell. 2015;34:181–91. https://doi.org/10.1016/j.devcel.2015.05.009.

    Article  CAS  PubMed  Google Scholar 

  82. Cesana M, Cacchiarelli D, Legnini I, Santini T, Sthandier O, Chinappi M, et al. A long noncoding RNA controls muscle differentiation by functioning as a competing endogenous RNA. Cell. 2011;147:358–69. https://doi.org/10.1016/j.cell.2011.09.028.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  83. Lu L, Sun K, Chen X, Zhao Y, Wang L, Zhou L, et al. Genome-wide survey by ChIP-seq reveals YY1 regulation of lincRNAs in skeletal myogenesis. EMBO J. 2013;32:2575–88. https://doi.org/10.1038/emboj.2013.182.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  84. Karamouzis MV, Konstantinopoulos PA, Papavassiliou AG. Roles of CREB-binding protein (CBP)/p300 in respiratory epithelium tumorigenesis. Cell Res. 2007;17:324–32. https://doi.org/10.1038/cr.2007.10.

    Article  CAS  PubMed  Google Scholar 

  85. Tuan D, Kong S, Hu K. Transcription of the hypersensitive site HS2 enhancer in erythroid cells. Proc Natl Acad Sci USA. 1992;89:11219–23. https://doi.org/10.1073/pnas.89.23.11219.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  86. Li H, Yang BB. MicroRNA-in drug resistance. Oncoscience. 2014;1:3–4. https://doi.org/10.18632/oncoscience.2.

    Article  PubMed  PubMed Central  Google Scholar 

  87. Zhang Z, Lee J-H, Ruan H, Ye Y, Krakowiak J, Hu Q, et al. Transcriptional landscape and clinical utility of enhancer RNAs for eRNA-targeted therapy in cancer. Nat Commun. 2019;10:4562. https://doi.org/10.1038/s41467-019-12543-5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  88. Koturbash I, Tolleson WH, Guo L, Yu D, Chen S, Hong H, et al. microRNAs as pharmacogenomic biomarkers for drug efficacy and drug safety assessment. Biomark Med. 2015;9:1153–76. https://doi.org/10.2217/bmm.15.89.

    Article  CAS  PubMed  Google Scholar 

  89. Li Y, Choi PS, Casey SC, Dill DL, Felsher DW. MYC through miR-17-92 suppresses specific target genes to maintain survival, autonomous proliferation, and a neoplastic state. Cancer Cell. 2014;26:262–72. https://doi.org/10.1016/j.ccr.2014.06.014.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  90. Attema JL, Bert AG, Lim Y-Y, Kolesnikoff N, Lawrence DM, Pillman KA, et al. Identification of an enhancer that increases miR-200b~200a~429 gene expression in breast cancer cells. PLoS ONE. 2013;8:e75517–e75517. https://doi.org/10.1371/journal.pone.0075517.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  91. Takata A, Otsuka M, Kojima K, Yoshikawa T, Kishikawa T, Yoshida H, et al. MicroRNA-22 and microRNA-140 suppress NF-κB activity by regulating the expression of NF-κB coactivators. Biochem Biophys Res Commun. 2011;411:826–31. https://doi.org/10.1016/j.bbrc.2011.07.048.

    Article  CAS  PubMed  Google Scholar 

  92. Assumpção MB, Moreira FC, Hamoy IG, Magalhães L, Vidal A, Pereira A, et al. High-throughput miRNA sequencing reveals a field effect in gastric cancer and suggests an epigenetic network mechanism. Bioinform Biol Insights. 2015;9:111–7. https://doi.org/10.4137/BBI.S24066.

    Article  PubMed  PubMed Central  Google Scholar 

  93. Quan Y, Zhang Y, Lin W, Shen Z, Wu S, Zhu C, et al. Knockdown of long non-coding RNA MAP3K20 antisense RNA 1 inhibits gastric cancer growth through epigenetically regulating miR-375. Biochem Biophys Res Commun. 2018;497:8.

    Article  Google Scholar 

  94. Steponaitiene R, Kupcinskas J, Langner C, Balaguer F, Venclauskas L, Pauzas H, et al. Epigenetic silencing of miR-137 is a frequent event in gastric carcinogenesis. Mol Carcinog. 2016;55:376–86. https://doi.org/10.1002/mc.22287.

    Article  CAS  PubMed  Google Scholar 

  95. Tian X-Y, Zhang L, Sun L-G, Li M. Epigenetic Regulation of miR-129–2 Leads to Overexpression of PDGFRa and FoxP1 in Glioma Cells. Asian Pac J Cancer Prev. 2015;16:6129–33.

    Article  PubMed  Google Scholar 

  96. Wang L, Liu J-L, Yu L, Liu X-X, Wu H-M, Lei F-Y, et al. Downregulated miR-495 [Corrected] Inhibits the G1-S Phase Transition by Targeting Bmi-1 in Breast Cancer. Medicine (Baltimore). 2015;94:e718–e718. https://doi.org/10.1097/MD.0000000000000718.

    Article  CAS  Google Scholar 

  97. Li Y, Jiang J, Liu W, Wang H, Zhao L, Liu S, et al. microRNA-378 promotes autophagy and inhibits apoptosis in skeletal muscle. Proc Natl Acad Sci. 2018;115:E10849–58. https://doi.org/10.1073/pnas.1803377115.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  98. Huang Z, Du G, Huang X, Han L, Han X, Xu B, et al. The enhancer RNA lnc-SLC4A1-1 epigenetically regulates unexplained recurrent pregnancy loss (URPL) by activating CXCL8 and NF-kB pathway. EBioMedicine. 2018;38:162–70. https://doi.org/10.1016/j.ebiom.2018.11.015.

    Article  PubMed  PubMed Central  Google Scholar 

  99. Kim YJ, Xie P, Cao L, Zhang MQ, Kim TH. Global transcriptional activity dynamics reveal functional enhancer RNAs. Genome Res. 2018;28:1799–811. https://doi.org/10.1101/gr.233486.117.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  100. Dudics S, Venkatesha SH, Moudgil KD. The Micro-RNA expression profiles of autoimmune arthritis reveal novel biomarkers of the disease and therapeutic response. Int J Mol Sci. 2018;19:2293. https://doi.org/10.3390/ijms19082293.

    Article  CAS  PubMed Central  Google Scholar 

  101. Gu X, Wang L, Boldrup L, Coates PJ, Fahraeus R, Sgaramella N, et al. AP001056.1, a prognosis-related enhancer RNA in squamous cell carcinoma of the head and neck. Cancers (Basel). 2019;11:347. https://doi.org/10.3390/cancers11030347.

    Article  CAS  PubMed Central  Google Scholar 

  102. Li W, Hu Y, Oh S, Ma Q, Merkurjev D, Song X, et al. Condensin I and II complexes license full estrogen receptor α-dependent enhancer activation. Mol Cell. 2015;59:188–202. https://doi.org/10.1016/j.molcel.2015.06.002.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  103. Aune TM, Crooke PS 3rd, Patrick AE, Tossberg JT, Olsen NJ, Spurlock CF 3rd. Expression of long non-coding RNAs in autoimmunity and linkage to enhancer function and autoimmune disease risk genetic variants. J Autoimmun. 2017;81:99–109. https://doi.org/10.1016/j.jaut.2017.03.014.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  104. Simionescu-Bankston A, Kumar A. Noncoding RNAs in the regulation of skeletal muscle biology in health and disease. J Mol Med (Berl). 2016;94:853–66. https://doi.org/10.1007/s00109-016-1443-y.

    Article  CAS  Google Scholar 

  105. Ding M, Liu Y, Li J, Yao L, Liao X, Xie H, et al. Oestrogen promotes tumorigenesis of bladder cancer by inducing the enhancer RNA-eGREB1. J Cell Mol Med. 2018;22:5919–27. https://doi.org/10.1111/jcmm.13861.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  106. Arnold PR, Wells AD, Li XC. Diversity and emerging roles of enhancer RNA in regulation of gene expression and cell fate. Front Cell Develop Biol. 2020;7:377. https://doi.org/10.3389/fcell.2019.00377.

    Article  Google Scholar 

  107. Healio. FDA approves patisiran infusion for hereditary transthyretin-mediated amyloidosis. SLACK Incorporated. 2018. https://www.healio.com/cardiology/hf-transplantation/news/online/%7B6aabf70e-84bc-4093-ab77-f3c3bece169c%7D/fda-approves-patisiran-infusion-for-hereditary-transthyretin-mediated-amyloidosis. Accessed 4 Mar 2020.

  108. Léveillé N, Melo CA, Agami R. Enhancer-associated RNAs as therapeutic targets. Expert Opin Biol Ther. 2015;15:723–34. https://doi.org/10.1517/14712598.2015.1029452.

    Article  CAS  PubMed  Google Scholar 

  109. Liang J, Zhou H, Gerdt C, Tan M, Colson T, Kaye KM, et al. Epstein-Barr virus super-enhancer eRNAs are essential for MYC oncogene expression and lymphoblast proliferation. Proc Natl Acad Sci. 2016;113:14121–6. https://doi.org/10.1073/pnas.1616697113.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  110. Li Z, Li D, Zhang G, Xiong J, Jie Z, Cheng H, et al. Methylation-associated silencing of MicroRNA-335 contributes tumor cell invasion and migration by interacting with RASA1 in gastric cancer. Am J Cancer Res. 2014;4:648–62.

    PubMed  PubMed Central  Google Scholar 

  111. Rosenbloom KR, Armstrong J, Barber GP, Casper J, Clawson H, Diekhans M, et al. The UCSC Genome Browser database: 2015 update. Nucleic Acids Res. 2015;43:D670–81. https://doi.org/10.1093/nar/gku1177.

    Article  CAS  PubMed  Google Scholar 

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The National Natural Science Foundation of China financially supported this work. [Grant Nos. 31772578 and 31672402].

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Odame, E., Chen, Y., Zheng, S. et al. Enhancer RNAs: transcriptional regulators and workmates of NamiRNAs in myogenesis. Cell Mol Biol Lett 26, 4 (2021). https://doi.org/10.1186/s11658-021-00248-x

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