A pathophysiological view of the long non-coding RNA world

Abstract

Because cells are constantly exposed to micro-environmental changes, they require the ability to adapt to maintain a dynamic equilibrium. Proteins are considered critical for the regulation of gene expression, which is a fundamental process in determining the cellular responses to stimuli. Recently, revolutionary findings in RNA research and the advent of high-throughput genomic technologies have revealed a pervasive transcription of the human genome, which generates many long non-coding RNAs (lncRNAs) whose roles are largely undefined. However, there is evidence that lncRNAs are involved in several cellular physiological processes such as adaptation to stresses, cell differentiation, maintenance of pluripotency and apoptosis. The correct balance of lncRNA levels is crucial for the maintenance of cellular equilibrium, and the dysregulation of lncRNA expression is linked to many disorders; certain transcripts are useful prognostic markers for some of these pathologies. This review revisits the classic concept of cellular homeostasis from the perspective of lncRNAs specifically to understand how this novel class of molecules contributes to cellular balance and how its dysregulated expression can lead to the onset of pathologies such as cancer.

INTRODUCTION

Cellular homeostasis is a delicate condition that requires the ability of cells to adapt to minimal variation to maintain a “dynamic equilibrium”. Many factors such as nutrient availability and growth or death stimuli provoke diverse cellular responses; for example, cells can be induced to adjust their metabolic state, proliferate, differentiate or undergo apoptosis [1]. The regulation of gene expression is a crucial event in determining the cellular response to micro-environmental changes, and it is tightly controlled by specific factors, which are classically considered to be proteins. RNA, with the exception of tRNAs and rRNAs, has generally been considered an intermediate between DNA, the “sanctum sanctorum” of life, and proteins, the molecules through which life is expressed; therefore, the importance of RNA has been restricted to its coding role [2]. However, the discovery of RNA interference (RNAi) provided impetus to the identification and characterization of regulatory non-coding RNAs. Over the last two decades, the improvement in high-throughput technologies has led to the detection of many long non-coding RNAs (lncRNAs). Although the vast majority of their functions remain unexplored, there is evidence that some lncRNAs are involved in physiological processes that maintain cellular and tissue homeostasis, and that consequently, the dysregulated expression of lncRNAs contributes to the onset and progression of many pathological conditions. Furthermore, a recent study demonstrated that the genetic knockout of some lncRNAs in mice resulted in peri- or post-natal lethality or developmental defects [3], consistent with the idea that the sequences that were previously considered “junk DNA” are essential for life. This review aims to advance the classic physiopathological view of cellular homeostasis by focusing on lncRNAs, highlighting how their balanced expression is crucial for the maintenance of cellular equilibrium and how their dysregulation contributes to the onset and progression of human pathologies.

Classification of lncRNAs: a brief update on an intricate scenario

The advent of high-throughput genomic technologies such as microarrays and next-generation sequencing has facilitated the discovery of the complexity of the eukaryotic transcriptome [4-7]. Up to 90% of the human genome is transcribed, but only a small percentage of the transcribed genes encode proteins [8]; therefore, the pervasive transcription generates many non-protein-coding transcripts, referred by many as “dark matter RNAs” [9], whose functions remain largely unclear [10-13]. Several studies have provided an accurate landscape of the genomic context of lncRNAs [2, 14], but, as St Laurent and colleagues pointed out, these RNAs cannot be easily standardized due to “insufficient theoretical basis to classify and categorize the dark matter transcripts” [15]. Based on the current literature, we provide an updated classification of lncRNAs (Fig. 1). LncRNAs are generally defined as transcripts longer than 200 nucleotides that generally lack protein-coding potential and can be processed like mRNAs, i.e. spliced and polyadenylated [16]. According to the GENCODE v7 catalog, human lncRNAs can be divided into two main categories: the intergenic lncRNAs [4] and the genic or intragenic lncRNAs [2, 17]. The widespread transcription of long intergenic regions generates molecules named long intergenic non-coding RNAs (lincRNAs) or stand-alone lncRNAs which transcriptional unit, thus, do not overlap protein-coding genes [18, 19]. LincRNAs are usually spliced and polyadenylated, and they can range from hundreds of nucleotides to several kb in length [18, 19]. Many of the known lincRNAs are associated with the polycomb repressive complex 2 (PRC-2) or other chromatin-modifying complexes, suggesting that these transcripts are involved in transcriptional control by functioning as scaffolds for chromatin remodelling proteins [18, 19]. It is to note, however, that some lncRNAs are exceptionally long, like, for instance, Airn and Kcnq1ot1 (108 and 91.5 kb in length, respectively) and some refers to these molecules as macroRNAs [15, 20]. While Koerner and colleagues define macroRNAs as “ncRNAs that can be as short as a few hundred nucleotides or as long as several hundred thousand nucleotides, the function of which does not depend on processing into short or micro RNAs” [21], essentially assimilating the term “macro” to the term “long”, St Laurent and colleagues seem to consider macroRNAs as transcripts that are tens of kb in length [15]. MacroRNAs are very long, mostly unspliced and nuclear transcripts that are transcribed by RNA polymerase II and, as in the case of the above mentioned Airn and Kcnq1ot1, are involved in the regulation of imprinting [20]. Very recently, it has been demonstrated that long stretches of the genome are transcribed to generate unexpectedly long transcripts named very long intergenic non-coding RNAs (vlincRNAs), some of which reach the astonishing length of 1Mb [15]. VlincRNAs are expressed in normal primary and embryonic stem cells (ESCs), and also in blood and tumor cells [15, 20]. VlincRNAs cover a wider portion of the genome than lincRNAs, but there is a low overlap between vlincRNAs and lincRNAs [15]: however, when vlincRNAs and lincRNAs overlap, it seems that the vlincRNA version is functional [15]. Although the role of vlincRNAs is not clear, they are supposed to be crucial for cellular balance as siRNA-mediated downregulation of selected vlincRNAs in K562 cell line provokes an increase in cell death [15]. Given the fact that vlincRNAs predominantly localize to the nucleus, it is possible that these long transcripts function as “intelligent scaffolds” to connect different portion of the genome [9, 15]. The scaffolding function of lincRNAs is well established, as in the case of functional intergenic repeating RNA element (Firre), also known as linc-RAP-1: human Firre is transcribed from a 5 Mb gene locus located on the X chro­mosome and is expressed on both X chromosomes before and after X-chromosome inactivation [22]. Firre localizes in the nucleus and is characterized by a 156 bp repeating RNA domain (RRD) that serves for Firre interaction with heterogeneous nuclear ribonucleoprotein U (hnRNP-U). Firre and hnRNP-U coordinate the topological organization of multiple chromosomes, thus providing a trans-acting scaffold for multichromosomal interactions [22]. Scaffolding activity is one of the many that lincRNAs can exert: in fact, recent studies demonstrate a wide panel of functions for lincRNAs. As we will discuss more deeply in this paper, lincRNAs can function as “pseudotargets” for miRNAs (or competing endogenous RNA, ceRNA), thus avoiding their suppressive role on target RNAs [23-25]. LincRNAs can also compete for binding to proteins, thus preventing protein:protein interactions [26].

Figure 1. Genomic organization of lncRNAs.

Pervasive transcription of the genome occurs bidirectionally (arrows). Exons are schematically represented with colored boxes. Spliced transcripts are represented with lines; spots represent splice sites. LncRNAs that are transcribed from loci distinct from the sense transcript-encoding gene loci (protein-coding or non-protein-coding) are named long intergenic non-coding RNAs (lincRNAs). Exceptionally long lncRNAs are named macroRNAs and very long intergenic non-coding RNAs (vlincRNAs). Bidirectional transcription from the enhancer and promoter regions generates enhancer-associated RNAs (eRNAs) and promoter-associated long RNAs (PALRs), respectively. Antisense transcription can generate natural antisense transcripts (NATs) with varying degrees of overlap. NATs can overlap with sense transcripts at their 5′-ends (divergent NAT or head-to-head) or 3′-ends (convergent NAT or tail-to-tail). NATs and other lncRNAs can be expressed in linear or circular form. Modified with permission from Kung et al [4].

The pervasive transcription of the human genome occurs bidirectionally [12, 27], and this is particularly evident at promoter regions. RNA polymerase II promiscuously binds to gene enhancers, promoters, and transcription start and termination sites and generates several RNAs, including approximately 2 kb-long enhancer-associated RNAs (eRNAs), which are generally non-polyadenylated [28], and promoter-associated long RNAs (PALRs) [7, 11, 29]. While the role of PALRs remains unclear, there is now evidence that eRNAs promote chromatin opening and RNA polymerase II occupancy at and transcription of target genes [25, 30]. Conversely, the natural antisense transcripts (NATs) have been better studied and characterized. NATs are transcribed from the opposite strand of and are complementary to other RNA transcripts (sense) and usually undergo splicing and polyadenylation [31, 32]. Antisense transcription is enriched at both ends of sense genes [33, 34]. Therefore, NATs can be complementary to the 5′ or 3′ ends of sense mRNAs [35]: in the first case, the transcriptional machineries converge (head-to-head), and in the second, they diverge (tail-to-tail) [32]. Notably, the term “sense” used in the context of RNA often indicates protein-coding transcripts. Although NATs are mainly considered to be complementary to protein-coding RNAs, it is now well established that many lncRNAs possess an antisense counterpart, as in the case of the X-inactive-specific transcript (Xist)/Tsix transcript pair, which is involved in X-chromosome silencing (see below) [32, 36]. NATs can regulate gene expression by RNA:RNA interaction, thus modulating target RNA stability, splicing or translation [37-39], but also function as a scaffold for chromatin remodeling complexes such as PRC-2 [40-42].

Similarly to mRNAs, structural folding of lncRNAs is crucial for their functions [43]. Recently, it was discovered that many lncRNAs are expressed in a circular form [44, 45], indicating that lncRNAs, similar to proteins, can exert different roles depending on their isoforms, which highlights the magnitude of the functions performed by the “lncRNA world”.

Inside the lncRNA world: a delicate balance of the factors involved in cell “stemness”, differentiation, adaptation and death

The X-factor: X chromosome inactivation as a paradigm for gene regulation by lncRNAs

The complexity of the lncRNA world is nowhere more evident than in the X-chromosome inactivation (XCI) process [46]. XCI in female mammals represses gene expression on one X-chromosome to maintain a balance between the sexes [47]. The X-inactivation center (XIC) is a region of the X-chromosome that encodes many lncRNAs, which drive its transcriptional silencing [48]. One of the first lncRNAs discovered and characterized in mammals is Xist, an approximately 17 kb molecule that is expressed only from the inactive X-chromosome [49]. Xist is essential for the initiation of XCI. Xist recruits PRC-2, a machinery that trimethylates histone H3 at Lys27 through a repeated motif named repeated A (RepA), thereby causing the epigenetic repression of the X-chromosome [46]. Xist activity is controlled by its antisense partner Tsix, which mediates the methylation of the Xist promoter by associating with DNA methyltransferase 3a (Dnmt3a) to silence Xist expression [41, 42]. An additional layer of complexity is the regulation of the Xist/Tsix sense-antisense pair by other non-coding transcripts, X-inactivating intergenic transcript element (Xite), RepA and Just proximal to Xist (Jpx). Xite is a positive regulator of Tsix [50], whereas RepA and Jpx activate Xist to promote XCI [51, 52]. The work of Lee and colleagues and their review on non-coding “X-factors” underline the importance of lncRNAs, which adds a new perspective to the complexity of the non-coding RNA world [46].

Cell “stemness” and cell differentiation: two sides of the same coin controlled by lncRNAs

XCI is extremely important for cell differentiation and is regulated by many pluripotency factors, e.g., Oct-4, which activates Tsix and prevents XCI and cell differentiation [42, 53]. The differentiation of stem or progenitor cells depends on many factors that coordinate the expression of genes that drive the acquisition of lineage-specific features; the maintenance of stem cell pluripotency requires an equally specific molecular blueprint. In their milestone article, Takahashi and Yamanaka demonstrated that it is possible to reprogram differentiated cells to an embryonic-like state through the addition of few “core” transcription factors such as Oct-4 and Sox-2 [54]. Although most attention has focused on proteins, there is now growing evidence that lncRNAs play key roles in cell fate determination [55-57]. LincRNA-regulator of reprogramming (linc-RoR) is crucial for cellular reprogramming and the maintenance of pluripotency; it is highly expressed in induced pluripotent stem cells (iPS) and self-renewing human ESCs and is strongly downregulated during human ESC differentiation [58]. Linc-RoR positively regulates the expression of the core transcription factors Oct-4, Sox-2 and Nanog by functioning as a miRNA sponge (or ceRNA) [23]. Certain miRNAs such as miR-145 directly target and repress the expression of pluripotency genes to inhibit human ESC self-renewal and induce lineage-restricted differentiation [59]; linc-RoR binds miR-145, thereby preventing the downregulation of Oct-4, Sox-2 and Nanog and human ESC differentiation [23].

Human genome consists of at least 50% repeat sequences, most of which derived from transposable elements [60]. Among them, human endogenous retroviruses (HERVs), which stem from ancient exogenous retroviral infection, account for 8% of the total human DNA [60]. More than 200 of the 1000 copies of HERV-H insertions in the human genomes are highly expressed in human ESCs, where they account for up to 2% of all polyadenylated transcripts [61]. HERV-H is an approximately 5 kb long lncRNA, which expression is essential for pluripotency maintenance of human ESCs; it has recently been demonstrated that knockdown of HERV-H in human ESCs results in upregulation of the pluripotency markers Oct4, Sox2 and Nanog, while the differentiation markers Gata6 and RunX1 are downregulated [62]. HERV-H functions as a scaffold to recruit Oct-4 and some transcriptional co-activators to the long terminal repeat (LTR) portion of its own gene loci, which in turn enhances the transcription of neighboring pluripotency-associated genes [62].

Tcl1 upstream neuron-associated (TUNA), an evolutionarily conserved transcript, contributes to ESCs maintenance and proliferation as well as neural commitment of ESCs [63]. TUNA, also known as Megamind, is located on chromosome 12 and is transcribed in the opposite direction to Tcl1: it is expressed in two isoforms of approximately 3 kb in length and it localizes in both nucleus and cytoplasm. ShRNA-mediated silencing of TUNA in mouse ESCs causes impaired cell proliferation, reduction of transcription of Oct-4 and Nanog; conversely, its overexpression increases such pluripotency-related genes expression and associates with elevated levels of proliferation [63]. TUNA is highly expressed in the central nervous system of many vertebrates and plays a role in neural commitment: in fact, its levels are highly upregulated during neural differentiation of mouse ESCs and knockdown of TUNA renders mouse ESCs unable to differentiate. It is noteworthy that TUNA is expressed at high level in the thalamus and striatum in the human brain and may have a role in the pathophysiology of Huntington's Disease [63]. TUNA activates transcription of pluripotency-related genes by binding to their promoters and recruiting RNA Binding Proteins (RBPs) such as polypyrimidine tract-binding protein 1 (PTBP1) and heterogeneous nuclear ribonucleoprotein K (hnRNP-K) [63].

Mistral, also known as Mira, is an approximately 0.8 kb non-coding transcript that is generated from the genomic region between the Hoxa6 and Hoxa7 genes and drives the expression of the genes that are involved in germ-layer specification in differentiating mouse ESCs and are not expressed in pluripotent mouse ESCs [64]. Mistral is induced following treatment with retinoid acid, a potent inducer of differentiation, and recruits the epigenetic activator Mixed Lineage Leukemia 1 (MLL), thereby activating the expression of Hoxa6 and Hoxa7 [64]. This causes the upregulation of the genes expressed during early germ-layer differentiation; the siRNA-mediated knockdown of Mistral prevents this induction [64].

Many essential protein-coding genes also encode lncRNAs [65]. For instance, it is well established that lncRNAs are involved in the process of muscle differentiation. The steroid receptor RNA activator (SRA), an approximately 0.8 kb long transcript, was the first lncRNA whose secondary structure was solved [43, 66], and it was originally characterized as a non-coding RNA that contributed to the activation of several sex hormone receptors [67]. However, an SRA isoform was identified that encodes the steroid receptor RNA activator protein (SRAP) [68]; both SRA and SRAP play a role in cell differentiation. Whereas SRA co-activates the myogenic differentiation 1 (MyoD) protein to enhance myogenic differentiation and the myogenic conversion of non-muscle cells, SRAP prevents this co-activation by interacting with SRA [68]. Interestingly, a 24 kb regulatory region upstream of the MyoD gene locus encodes for several eRNAs that are essential for MyoD expression, in particular the DNA enhancer elements Distal Regulatory Regions RNA (^DRRRNA) and Core Enhancer RNA (^CERNA) [69]. ^CERNA contributes to chromatin remodeling at MyoD, thus promoting RNA polymerase II occupancy and transcription, while ^DRRRNA is an activator of the downstream myogenic genes [69]. Cesana and colleagues revealed the existence of a long intergenic transcript named lincRNA Muscle Differentiation 1 (linc-MD1) that is involved in myoblast differentiation [25]. Human linc-MD1 maps to chromosome 6p12.2; this transcript is polyadenylated and localizes in the cytoplasm, and its expression is induced upon myoblast differentiation [25]. Similar to linc-RoR, but with a pro-differentiation role, linc-MD1 functions as a ceRNA by binding miR-133 and miR-135, which target and inhibit the factors involved in myoblast differentiation [25]. Whereas linc-RoR prevents the miRNA-mediated repression of “stemness” factors, contributing to the maintenance of cell pluripotency and self-renewal, linc-MD1 sequesters miRNAs that repress the expression of myogenic factors, thereby enhancing muscular differentiation [25]. It has recently been demonstrated that the RBP human antigen R (HuR), which expression is inhibited by miR-133, intersects the linc-MD1-miRNAs network creating a regulative loop with linc-MD1 [70]. HuR and linc-MD1 levels increase during early phases of myogenesis, while they decrease as differentiation program progresses. HuR binds linc-MD1 promoting its sponging activity and linc-MD1, in turn, attenuates this effect by sequestering miR-133 [70]. Recently, Kretz and colleagues identified two lncRNAs named anti-differentiation ncRNA (ANCR) and tissue differentiation-inducing non-protein coding RNA (TINCR) that are involved in epidermal differentiation [71, 72]. The ANCR gene maps to chromosome 4 and encodes an approximately 0.8 kb transcript whose expression is suppressed during keratinocyte, osteoblast and adipocyte differentiation [71, 73]. RNAi-mediated ANCR silencing in progenitor keratinocytes perturbs the expression of the genes associated with epidermal differentiation; for instance, ANCR depletion reduces the CEBPα level but increases the expression of the key epidermal differentiation proteins filaggrin, loricrin and keratin 1 [71]. In humans, the TINCR locus maps to chromosome 19 and generates a 3.7 kb transcript whose expression is strongly induced during epidermal differentiation [72]. The downregulation of TINCR causes the reduced expression of many genes during keratinocyte differentiation, including filaggrin and loricrin, and consequently causes a dramatic reduction in the ultra-structures that are essential for epidermal barrier formation, such as the protein-rich keratohyalin granules and lipid-rich lamellar bodies [72]. TINCR binds target mRNAs through a 25 nucleotide motif named the TINCR box [72]. Furthermore, TINCR strongly interacts with the staufen double-stranded RNA binding protein 1 (STAU-1), which mediates mRNA decay in cooperation with lncRNAs [74].

Fine tuning of cellular adaptation by lncRNAs

Cells are often exposed to stressors, like thermal stress and hypoxia, that necessitate the activation of molecular mechanisms of adaptation. The heat-shock response in vertebrates features several cytoprotective proteins including the heat-shock transcription factor 1 (HSF1), which is normally found as an inactive monomer in unstressed cells and trimerizes once activated by heat and other stress stimuli [75]. It was demonstrated that HSF1 trimerization is promoted by an approximately 0.6 kb long non-polyadenylated lncRNA named heat shock RNA-1 (HSR1) [75]. HSR1 interacts with the translation elongation factor eEF1A and promotes HSF1 trimerization and transcriptional activity. Inhibition of HSR1 secondary structure or silencing of HSR1 provokes a massive death in cell exposed to heat shock [75]. One of the critical aspects for cellular functions is oxygen availability which is fundamental for ATP generation; low oxygen tension causes a strong reduction in the ATP level and determines an overall repression of gene expression [76]. The main regulator of cellular response to low oxygen availability is the hypoxia inducible factor (HIF)-1, a heterodimer composed of two subunits, hypoxia-regulated HIF-1α and constitutively expressed HIF-1β: HIF-1 drives the transcription of the genes involved in the cellular adaptation to hypoxia, many of which are also important for cancer progression [77]. HIF-1α is regulated at the protein level and the RNA level by many trans-acting factors [78]. Trash-Bingham and Tartof discovered a natural antisense transcript named antisense HIF (aHIF) that is expressed in several adult and fetal tissues and in cancer tissues; aHIF is also upregulated in Von Hippel-Lindau (VHL)-negative kidney cancer [79, 80]. aHIF is approximately 2 kb long and does not have any apparent post-transcriptional modification; it is perfectly complementary to at least 860 bases of the 3′-end of the HIF-1α mRNA and contributes to the post-transcriptional regulation of this mRNA. Indeed, it was recently demonstrated that under hypoxia, aHIF negatively regulates HIF-1α mRNA by interfering with its translation [81, 82], although the exact mechanism of aHIF action remains unclear. It is known that hypoxia causes increased glycolysis and it was recently demonstrated that lincRNA-p21 plays a role in this cell response [26]. LincRNA-p21 is approximately 3 kb long: its transcriptional unit resides approximately 15 kb upstream of the p21 gene locus and it is transcribed in the opposite orientation relative to p21 [83]. At low oxygen tension HIF-1α up-regulates lincRNA-p21 expression which in turn contributes to HIF-1α hypoxic accumulation by binding VHL and therefore preventing its binding to HIF-1α [26].

Hypoxia and other stimuli, such as DNA damage, starvation and oxidative stress, can activate the autophagic pathway as an adaptive response [84]. Autophagy is a vital process that degrades damaged cellular components and mediates their recycling; it plays an important role in somatic, stem and cancer cells and can also trigger apoptosis [85]. Although very little is known about the role of lncRNAs in autophagy, it was recently demonstrated that the knockdown of maternally expressed gene 3 (MEG3) can activate autophagy and the proliferation of bladder cancer cells [86]. Human MEG3 is an approximately 1.7 kb lncRNA that is expressed at high levels in brain tissues but at very low levels or is absent in cancer tissues and cell lines [87]. Interestingly, MEG3 can also activate p53 via repression of the mouse double minute 2 homolog (MDM2), and the overexpression of MEG3 in cancer cell lines suppresses cell proliferation [88].

Involvement of lncRNAs in apoptosis

Programmed cell death, also known as apoptosis, is a fundamental process that regulates tissue homeostasis. The tumor suppressor p53 and the transcription factors E2Fs play crucial roles in the response to several stimuli like, for instance, DNA damage, and are involved in cell cycle progression/arrest, autophagy and apoptosis [89-92]. Activation of E2F1 induces the expression of many lncRNAs including one named E2F1-Regulated Inhibitor of Cell death (ERIC), an approximately 1.7 kb long transcript [93]. ERIC is also upregulated by etoposide-induced DNA damage attenuating apoptotic response and may thus have cancer promoting effects [93]. The WD repeat containing, antisense to p53 (Wrap53) gene encodes a protein that is essential for the formation of Cajal bodies, which are nuclear structures involved in ribonucleoprotein and small-nucleolar RNA (snRNA) processing [94]. The Wrap53 protein interacts with many small Cajal body-specific RNAs (scaRNAs), particularly with the telomerase RNA component (TERC), and telomerase reverse transcriptase (TERT), because it promotes telomerase localization in Cajal bodies [95]. Interestingly, the Wrap53 gene also encodes for an antisense transcript that exists in three alternatively spliced forms, Wrap53α, β and γ: only Wrap53α, though, is complementary to the first exon of p53. Wrap53α positively regulates p53 expression by targeting and stabilizing the 5′ untranslated region of its mRNA: in fact, whereas Wrap53α silencing causes the downregulation of p53 mRNA and protein expression, its overexpression potentiates p53-mediated apoptosis [37].

Recently, it was found that p53 induces the expression of several lncRNAs upon doxorubicin-induced DNA damage; among these, the aforementioned lincRNA-p21 functions as a gene repressor in the p53 pathway [83]. LincRNA-p21 mediates transcriptional repression via the physical interaction of a 780 nt region at its 5′-end with hnRNP-K; this complex binds to the promoters of target genes, thereby mediating their transcriptional repression and activating an apoptotic response to DNA damage [83]. Notably, lincRNA-p21 can also inhibit the translation of the CTTNB1 and JUNB mRNAs, and the previously mentioned HuR enhances lincRNA-p21 degradation through the recruitment of Argonaute 2, a component of the RNA-induced silencing complex (RISC) that cleaves target mRNAs [96]. DNA damage also stimulates the expression of several lncRNAs in a p53-independent manner: for instance, JADE1 adjacent regulatory RNA (lncRNA-JADE) is transcriptionally activated in MCF7 breast cancer cells following DNA damage induction in ATM/NFkB-dependent fashion [97]. The lncRNA-JADE gene is adjacent to JADE1 gene and generates an approximately 1.7 kb long transcript which is highly conserved across mammalian species. JADE1 is a component of a multi-protein complex that drives H4 histone acetylation: lncRNA-JADE recruits p300 and BRCA1 to JADE1 promoter and activates its transcription. Silencing of lncRNA-JADE impairs cell proliferation and increases apoptosis, while its overexpression enhances cell growth and diminishes apoptosis [97]. Notably, breast cancer tissues display a high level of lncRNA-JADE compared to normal breast tissue, suggesting that this transcript may play an important role in breast carcinogenesis and resistance to DNA-damaging chemotherapeutic drugs [97].

As previously mentioned, low oxygen tension is a stress cells often have to deal with and it was very recently showed that anoxia causes mitochondrial fission and apoptosis in cardiomiocytes [98]. Mitochondrial fission and apoptosis are inhibited by prohibitin 2 (PHB2), but anoxia also upregulates the expression of certain miRNAs, including miR-539 which provokes downregulation of PHB2 [98]. Anoxia also downregulates many lncRNAs, including one named cardiac apoptosis-related lncRNA (CARL) which is involved in PHB2 control [98]. CARL functions as a sponge for miR-539: in fact, CARL overexpression reduces miR-539 expression and activity, increases PHD2 levels and attenuates anoxia-induced mitochondrial fission and apoptosis in cardiomiocytes [98].

Dysregulated expression of untranslated RNAs: involvement of lncRNAs in the onset of pathologies and in the hallmark capabilities of cancer cells

LncRNAs are crucial for maintaining cellular physiology, and disequilibrium in the balance of lncRNAs could significantly contribute to the onset and development of several pathologies. Table 1 shows selected lncRNAs that are involved in human pathologies. Many reviews have highlighted the potential roles of lncRNAs in human diseases [99, 100], and lncRNAs are mainly associated with three classes of pathologies: neurodegenerative disorders [17], such as Huntington's [101] and Alzheimer's [102] diseases, cardiovascular diseases [103] and cancer [104, 105]. For example, it is well known that the production of peptides derived from the cleavage of the amyloid precursor protein by β-secretase-1 (BACE1) is a leading cause of Alzheimer's disease [106]. An antisense transcript of BACE1 that positively regulates BACE1 was recently characterized [106, 107]. As for cardiovascular diseases, the massive dysregulation of lncRNAs has been observed in ventricular septal defects, which are the most common form of congenital heart disease [108], and the long polyadenylated antisense noncoding RNA in the INK4 locus (ANRIL) is strongly associated with cardiovascular diseases and other pathologies [109].

Table 1. Selected lncRNAs involved in human pathologies.

LncRNA	Classification	Affected genes	Diseases	References
AFAP1-AS1	NAT	AFAP1	Cancer	[158]
aHIF	Convergent NAT	HIF1a	Cancer	[80, 153]
ANRIL	NAT	INK4A, INK4B	Atherosclerosis, cancer	[109, 119]
ApoE AS1	NAT	ApoE	Alzheimer's disease	[159]
ATXN8OS	Divergent NAT	KLHL1	Spinocerebellar ataxia type 8	[160]
BACE1-AS	NAT	BACE1	Alzheimer's disease	[106]
BC200	LincRNA	Many	Alzheimer's disease, Parkinson's disease, cancer	[161-163]
Bcl2/IgH AS	NAT	Bcl2	Cancer	[38]
CRNDE	LincRNA	Many	Cancer	[164, 165]
DBE-T	LincRNA	4q35 locus genes	Facioscapulohumeral muscular dystrophy	[166]
DISC2	NAT	DISC1	Schizophrenia	[167]
FMR1 AS	Linear NAT	FMR1	Fragile X syndrome	[168]
FMR4	Divergent PALR	FMR1	Fragile X syndrome	[169]
FMR5	Convergent PALR	FMR1	Fragile X syndrome	[170]
FMR6	Convergent 3′ NAT	FMR1	Fragile X syndrome	[170]
GDNFOS1	NAT	GDNF	Alzheimer's disease	[171]
GDNFOS2	NAT	GDNF	Alzheimer's disease	[171]
Gomafu	LincRNA	Many	Schizophrenia	[172]
H19	LincRNA	Many	Cancer	[173-175]
HAR1F	NAT	HAR1R	Huntington's disease	[176]
HELLPAR	LincRNA	Many	HELLP syndrome	[177]
HOTAIR	LincRNA	Many	Cancer	[149, 150]
HTTAS	NAT	HTT	Huntington's disease	[178]
HULC	LincRNA	Many	Cancer	[114, 152]
LincRNA-p21	LincRNA	Many	Cancer	[83]
MALAT1	LincRNA	Many	Cancer, diabetic retinopathy	[145, 174, 179]
MVIH	LincRNA	PGK1	Cancer	[135, 136]
naPINK1	NAT	svPINK1	Parkinson's disease, diabetes	[161, 180]
NAT-RAD18	NAT	RAD18	Alzheimer's disease	[181]
NEAT1	LincRNA	Many	Huntington's disease	[101]
P15AS	NAT	P15	Cancer	[182]
PCAT-1	LincRNA	Many	Cancer	[183]
PRINS	LincRNA	G1P3	Psoriasis	[184]
PRNCR1	LincRNA	Many	Cancer	[185, 186]
Sox2OT	Overlapping lncRNA	Sox2	Cancer, Alzheimer's disease, Parkinson's disease	[161, 187, 188]
THRIL	LincRNA	Many	Kawasaki disease	[189]
TUG1	LincRNA	Many	Huntington's disease, cancer	[161]
UCA1	LincRNA	Many	Cancer	[190, 191]

The impact of dysregulated lncRNA expression is most evident in cancer, which is likely the most heterogeneous and unpredictable pathology. The pathogenesis of cancer is a multistep process due to the genetic alterations that perturb cellular physiology. The accumulation of mutations causes the evolution of tumor malignancy: as normal cells evolve to a neoplastic state, they acquire a succession of “hallmark capabilities” that enable the progression of the cancer [110]. There is an unexpected involvement of lncRNAs in several cellular processes; alterations in the expression of certain transcripts can lead to dramatic changes in the cellular physiology, leading to further consequences. There is growing evidence that lncRNAs play a role in cancer onset and development [105, 111]; indeed, lncRNAs are involved in the canonical hallmarks of cancer that were first proposed in 2001 (Fig. 2) [112]. Recently, it was shown that the expression profiles of lncRNAs in cancer cells are significantly different from those in normal cells. For example, lncRNA highly expressed in hepatocellular carcinoma (lncRNA-HEIH) expression is higher in liver cancer and in cirrhotic liver samples compared to normal liver tissues [113]. LncRNA highly upregulated in liver cancer (HULC) is strongly upregulated in liver tumor samples and slightly upregulated in cirrhotic liver tissue and focal nodular hyperplasia compared to normal tissue [114], suggesting that the expression of a specific lncRNA may reflect or cause the grade of the alteration. Here, we discuss how lncRNAs and their dysregulated expression are associated with cancer onset and development.

Figure 2. LncRNAs impact the hallmarks of cancer.

The six hallmarks of cancer are shown with selected associated lncRNAs that are involved in cancer onset and progression. References are listed in brackets.

Dysregulation of cell growth: reinterpreting the concept of oncogenes and tumor suppressor genes from a non-coding perspective

In their milestone review “The Hallmarks of Cancer,” Hanahan and Weimberg discuss that the most distinctive characteristic of tumor cells is most likely “their ability to sustain chronic proliferation” [110]. The INK4A-ARF-INK4B gene cluster (INK4 locus) is located on human chromosome 9p21 and encodes three tumor suppressors genes that are also known as p16INK4A, p14ARF and p15INK4B [115]. Whereas p15 and p16 suppress cell growth by inhibiting cyclin-dependent kinase (CDK) 4 and 6, p14 inhibits MDM2, thereby activating p53. The INK4 locus encodes ANRIL, which is transcribed from the antisense strand of p15INK4B [115]; ANRIL is approximately 3.8-kb long and is expressed in linear and circular isoforms [116]; furthermore, four major ANRIL isoform groups with four distinct transcriptions have recently been identified [117]. ANRIL directly interacts with PRC-2 component suppressor of zeste 12 (SUZ12), thereby selectively repressing in cis p15INK4B transcription [40]: accordingly, the silencing of ANRIL causes an increase in the p15INK4B level and a strong reduction in cell viability. However, ANRIL isoforms can also regulate gene expression in trans: in fact, its overexpression causes broad changes in the expression of genes distributed across the genome and promotes cell growth and metabolic activity [117]. Alterations in the ANRIL structure or expression contribute to the onset of a variety of pathologies, including cancer [109, 117-119].

The Metastasis associated lung adenocarcinoma transcript 1 (MALAT-1), also known as non-coding nuclear-enriched abundant transcript 2 (NEAT2), is an 8,7 kb transcript that is expressed at high levels in the normal pancreas and lungs and at varying levels in the prostate, colon and other organs but is absent in the skin, stomach, bone marrow and uterus [120]. MALAT-1 has been primarily studied for its role in cancer cells migration, invasion and metastasis [120, 121], but, in addition, it plays an important role in cell cycle progression. Tripathi and colleagues reported that MALAT-1 expression is low during G1 and G2 cell cycle phases and high during G1/S and mitosis in human normal and cancer cell lines; moreover, silencing of MALAT-1 induces cellular senescence in human lung fibroblasts and provokes G0/G1 or G2/M phase arrest, depending on cell type [122]. MALAT-1 localizes at nuclear speckles and modulates the alternative splicing of RNAs by interacting with several pre-mRNA splicing factors and controlling their level of phosphorylation [123]. It has been demonstrated that MALAT-1-depleted cells show mitotic arrest due to an impaired level of B-MYB, a transcription factor involved in mitotic progression. B-MYB is overexpressed in many cancers and its expression and/or RNA processing is controlled by MALAT-1 [122].

The fusion protein Bcr-Abl derives from the rearrangement of chromosome 9 with chromosome 22 and is a feature of more than 90% of Chronic Myeloid Leukemia cases. Bcr-Abl is a pro-proliferative and antiapoptotic protein and its aberrant expression leads to the upregulation of many lncRNAs [124]. Silencing of Bcr-Abl provokes a downregulation of these lncRNAs; among them, beta globin locus transcript 3 (non-protein coding) (lncRNA-BGL3) acts as a tumor suppressor transcript acting as a ceRNA for those miRNAs that target the oncosuppressor PTEN, such as miR-17, miR-20 and miR-106. Indeed, tumor growth is much slower in nude mice injected with lncRNA-BGL3-overexpressing K562 cell line than in control mice. Furthermore, bone marrow cells derived from transgenic mice overexpressing lncRNA-BGL3 and infected with a retrovirus encoding for Bcr-Abl show a decreased transformation capacity compared to Bcr-Abl-expressing bone marrow cells from control mice [124].

These findings remark the role of lncRNAs in regulating cell growth and cell cycle progression and how dysregulations in their expression can lead to impaired cell proliferation: therefore, from a non-coding perspective, oncogenes and oncosuppressor genes could be called lnc-ogenes and lnc-osuppressor genes.

Evading apoptosis: how lncRNAs influence the cell death threshold

Alterations in cell death pathways are an important step in cancer progression and there is now evidence that lncRNAs play a role in this process [125]. A diminished sensitivity to apoptosis is a common feature of various cancers, such as B-cell lymphoma, which is characterized by the overexpression of Bcl-2 [126]. We discovered a Bcl-2/IgH antisense transcript (Bcl2/IgH AS) that is expressed in the t(14;18) but not in the t(14;18)-negative lymphoid cell lines [38]. This antisense transcript originates in the IgH locus, encompasses the t(14;18) fusion site and spans at least the complete 3′ UTR region of the Bcl-2 mRNA [38]. The downregulation of the Bcl-2/IgH AS lowered Bcl-2 gene expression and inhibited neoplastic cell growth by inducing apoptosis in the t(14;18) lymphoid cell lines, suggesting that this transcript might positively regulate Bcl-2 expression [127]. We also demonstrated that the chimeric Bcl-2/IgH transcript stabilizes Bcl-2 mRNA at the post-transcriptional level by masking a destabilizing adenine + uracil-rich element (ARE) located in the 3′-UTR of the Bcl-2 mRNA [128].

An important regulator of apoptosis in lymphoid cells is the Fas-FasL system, which represents a major player in the extrinsic cell death pathway and its expression is often dysregulated in Non-Hodgkin Lymphomas [129]. Fas is expressed as a transmembrane (mFas) or soluble (sFas) protein, depending on alternative splicing of its mRNA which is driven by RNA binding motif protein 5 (RBM5)-dependent exon skipping [130]. While mFas levels varies in lymphoma cells, sFas levels are high in the serum of patients with malignant hematological disorders, and tumor cells are therefore less sensitive to FasL-induced apoptosis [131]. The Fas gene encodes an antisense transcript named Fas-Antisense1 (Fas-AS1) which is involved in Fas alternative splicing process [39]: Fas-AS1 sequesters RBM5 inhibiting exon 6 skipping. Fas-AS1 expression is frequently repressed in lymphoma cell lines and primary lymphomas compared with controls, and ectopic overexpression of Fas-AS1 determines a reduction of sFAS isoform and an increase of mFAS, thereby stimulating FasL-induced apoptosis [39]. Fas-AS1 promoter is hypermethylated in lymphomas by the methyl transferase EZH2, which is upregulated in these tumors. Interestingly, treatment of lymphoma cells with the methyl transferase inhibitor DZNeP results in a reduced methylation of Fas-AS1 promoter, a great increase of Fas-AS1 expression and consequently a reduction of sFAS isoform and an increase of mFAS [39].

Angiogenesis, epithelial-mesenchymal transition and metastasis: involvement of lncRNAs in the progression of cancer malignancy

The dysregulated and rapid proliferation of cancer cells creates a local hypoxic microenvironment that is a common feature of many tumors [132]. Low oxygen tension activates the HIF transcription factors, which modulate the expression of many lncRNAs named hypoxia-induced noncoding ultraconserved transcripts (HINCUTs) that are involved in cell proliferation under hypoxic conditions [133]. Furthermore, HIFs play an important role in angiogenesis, which is regulated, at least in part, by non-coding transcripts [134]. Indeed, it was shown that the lncRNA MVIH (lncRNA associated with microvascular invasion in HCC) promotes tumor angiogenesis [135]. MVIH expression is high in hepatocellular carcinomas compared to normal tissues and targets phosphoglycerate kinase 1 (PGK1), a glycolytic enzyme that can inhibit angiogenesis when secreted by cells [135]. MVIH prevent PGK1 secretion, thereby activating angiogenesis, tumor growth and metastasis [135]. Furthermore, MVIH is as an independent risk factor for the poor recurrence-free survival of HCC patients after hepatectomy [135] and it and it has also been recently identified as a regulator of proliferation and invasion of tumor cells and as a poor prognostic biomarker in non-small cell lung cancer (NSCLC) [136].

Hypoxia also increases the expression of MALAT-1 in endothelial cells, modulating their angiogenic properties [137]. Silencing of MALAT-1 reduces HUVEC cell line proliferation and cell cycle progression lowering the level of cell cycle regulatory genes, but increase in vitro migration and angiogenesis [137]. Furthermore, MALAT-1 knockout mice present a delay in vessel extension and a reduction in vessel density in the retina [137]. An important event in cancer progression is the epithelial-mesenchymal transition (EMT), a complex cellular process that is mainly driven by two crucial factors, Snail1 and Twist [138], and is characterized by the loss of the epithelial phenotype and the acquisition of mesenchymal characteristics. The molecular features of the EMT include the downregulated expression of cell-cell adhesion molecules such as E-cadherin; Snail-1 promotes the transcriptional repression of E-cadherin directly and indirectly by upregulating the expression of the transcription factors Zeb1 and Zeb2 [139]. Snail-1 strongly induces Zeb2 expression via the Zeb2 NAT. Snail-1 upregulates Zeb2 NAT expression, which prevents the splicing of an IRES-containing 5′-UTR intron; this allows the ribosome machinery to bind to the ZEB2 mRNA and promote its translation [139]. The overexpression of Twist in a human breast epithelial cell line results in the altered expression of many lncRNAs; therefore, several other lncRNAs may be involved in the EMT [140]. The downregulation or inactivation of E-cadherin contributes to the invasion of cancer cells and enhances their metastatic potential [110]. Snail-1, Twist and Zeb1 are induced by TGF-β, a cytokine that is able to activate EMT and tumor invasion [141, 142]. TGF-β also modulates the expression of a multitude of lncRNAs and particularly up-regulates the levels of a non-coding transcript named lncRNA activated by TGF-β (lncRNA-ATB) [142]. LncRNA-ATB plays a notable role in EMT: in fact, its overexpression induces EMT and promotes invasion of cancer cell lines and it is also noteworthy that lncRNA-ATB levels are higher in hepatocellular carcinoma specimens from patients than in correspondent normal hepatic tissues. LncRNA-ATB promotes and sustains EMT and tumor invasion via two mechanisms: on one hand, lncRNA-ATB up-regulates Zeb1 and Zeb2 by competitively binding the miR-200 family, which targets Zeb1 and Zeb2, thus acting as a ceRNA [141, 143]. On the other hand, lncRNA-ATB increases the stability of IL-11 mRNA thereby promoting IL-11 autocrine pathway and STAT-3 activation, thus promoting EMT and the invasion-metastasis processes in HCC [142].

LncRNAs also play a role in inhibiting EMT and tumor invasion, as for the case of BRAF-activated non-coding RNA (BANCR). BANCR is an approximately 0.7 kb transcript which expression is strongly downregulated in NCLSC tissues compared with normal tissues [144]. Low levels of BANCR are associated with poor survival while high levels of BANCR indicate a better prognosis of NSCLC patients. Overexpression of BANCR promotes apoptosis and upregulates the expression of E-cadherin while decreases the levels of N-cadherin and Snail-1 in A549 cells, thus inhibiting cell migration and invasion [144]. Furthermore, BANCR suppresses NSCLC cell metastasis in vivo: in fact, nude mice injected with BANCR-overexpressing lung adenocarcinoma cells display a reduction of the number of metastatic nodules, confirming the potential tumor-suppressing role of BANCR [144].

Another well-studied lncRNA, the aforementioned MALAT-1, activates the migration, invasion and metastatic development of non-small cell lung cancer cells [120, 121, 145]. It has recently been demonstrated that MALAT-1 is induced by TGF-β in bladder cancer cells and its level is highly upregulated in bladder cancer specimens [146]. MALAT-1 binds to SUZ12 and represses the expression of E-cadherin. TGF-β promotes the association of MALAT-1 and SUZ12, thereby promoting bladder cancer cells invasion and metastasis both in vitro and in vivo [146]. It is noteworthy, however, that MALAT-1 knockout in human lung and liver cancer cell lines does not affect cell proliferation compared to the corresponding wild-type cell lines. Furthermore, MALAT-1 knockout mice do not show any detectable developmental or lethality phenotype when kept under normal stress-free conditions [147]: MALAT-1 might thus be dispensable for normal development but highly important for cancer onset and progression.

Hox transcript antisense intergenic RNA (HOTAIR) is an approximately 2 kb spliced and polyadenylated RNA that is generated from the HOXC locus. HOTAIR binds to the PRC-2 complex, which induces the transcriptional silencing of the HOXD locus by trimethylation of histone H3 at lysine-27 [148]. The high expression of HOTAIR observed in colorectal cancer samples is associated with bad prognosis, indicating its importance in the metastatic development of cancer [149, 150].

Prospects and Predictions

Research over the last two decades has illuminated the complexity of the transcriptome and led to the detection of many lncRNAs. While it is still valid to assume that proteins are the effectors of cellular processes, new roles for RNA have begun to emerge; several lines of evidence indicate that lncRNAs play important roles in the control of gene expression and the maintenance of cellular functions. The balanced expression of these transcripts appears to be crucial for the maintenance of cellular homeostasis; consequently, the dysregulated expression of lncRNAs contributes to the onset and progression of many types of pathology. The dysregulation of lncRNA expression in many pathologies highlights their potential use as diagnostic and prognostic factors [151] and therapeutic targets [100]. HULC is detected in the plasma of hepatocellular carcinoma patients, suggesting that it could be a useful diagnostic marker for this cancer [152]. MALAT-1 is a prognostic biomarker for the metastatic development of lung cancers [145], and aHIF is a marker for poor disease-free survival in breast cancer [153]. Targeting lncRNAs poses an intriguing challenge for therapy [100]. We demonstrated that the Bcl-2/IgH AS discovered in our laboratory can be efficiently downregulated with synthetic oligonucleotides [127]. This results in the reduction of Bcl-2 expression and an induction of apoptosis in t(14;18)-negative lymphoid cell lines [127]. The RNAi-mediated knockdown of the BACE1 antisense RNA (BACE1-AS) induces the reduction of the BACE1 mRNA and protein levels in vitro and in vivo, suggesting that BACE1-AS could be a candidate drug target [106]. However, further studies are required on the structural and functional aspects of lncRNA biology to assess their potential as therapeutic targets [100].

The discovery of the fundamental roles of lncRNAs in the regulation of gene expression is both surprising and obvious, given that they can intrinsically interact with DNA using their nucleotide sequence and with proteins via secondary and tertiary structures [154, 155]. This cardinal role of lncRNAs evokes a “musical” analogy for the long non-coding RNA world (Fig. 3). An orchestra is an instrumental ensemble formed by many individual musicians. The complete score encodes all of the musical information; each section – or each player – possesses a timed blueprint, a part that can be read and translated into music using instruments. Each played part contributes to the fine and organized network of sounds. This parallels what occurs in cells as the DNA is transcribed to generate RNAs. mRNAs are translated via the ribosomal machinery to produce proteins, which act in a complex network of functions. However, a fine interpretation of the score needs someone who can coordinate the “diminuendo” and “crescendo” of each part: the conductor. Although the conductor does not produce sounds himself, his role is essential to coordinate all parts of the performance; similarly, lncRNAs are emerging as master regulators of cellular functions. Finally, the orchestral conductors are often exceptional player themselves, and in some cases, they perform with the other players. Recent studies have shown that lncRNAs are very rarely translated in cell lines [156] but are bound by ribosomes [157]. This finding raises questions about the effective coding potential/translation of lncRNAs and suggests further intricate scenarios; for example, lncRNAs might encode small active peptides or act as decoys for the translation machinery [157].

Figure 3. LncRNAs orchestrate the “diminuendo” and “crescendo” of cellular functions.

Duke Ellington was probably the greatest conductor, composer and arranger in jazz history. His longtime friend and colleague Billy Strayhorn once said: “Ellington plays piano. But his real instrument is his orchestra. Each member of his orchestra is to him a distinctive tone color and set of emotions, which he mixes with others equally distinctive to produce a third thing which I like to call the Ellington Effect” [199]. One of Ellington's most important compositions is “Diminuendo and Crescendo in Blue”: the title refers to expression marks that mean decreasing or increasing the sound in volume. The conductor controls the elements of musical expression (tempo, dynamics, articulation) as lncRNAs orchestrate and modulate gene expression and cellular functions. (Graphic: Federico Di Gesualdo).

List of abbreviations

ncRNA

non-coding RNA

lncRNA

long non-coding RNA

RNAi

RNA interference

lincRNA

long intergenic non-coding RNAs

vlincRNA

very long intergenic non-coding RNA

ESC

embryonic stem cell

eRNA

enhancer-associated RNA

PALR

promoter-associated long RNA

NAT

natural antisense transcript

Xist

X-inactive-specific transcript

XCI

X-chromosome inactivation

XIC

X-inactivation center

PRC-2

polycomb repressive complex 2

Firre

functional intergenic repeating RNA element

RRD

repeating RNA domain

hnRNP-U

heterogeneous nuclear ribonucleoprotein U

RepA

repeated A

Dnmt3a

DNA methyltransferase 3a

Xite

X-inactivating intergenic transcript element

JPX

just proximal to Xist

lincRoR

lincRNA-regulator of reprogramming

iPS

induced pluripotent stem cell

ceRNA

competing endogenous RNA

MLL

Mixed Lineage Leukemia 1

HERV

human endogenous retrovirus

LTR

long terminal repeat

TUNA

Tcl1 upstream neuron-associated

RBP

RNA Binding Protein

PTBP1

polypyrimidine tract-binding protein 1

hnRNP-K

heterogeneous nuclear ribonucleoprotein K

SRA

steroid receptor RNA activator

SRAP

steroid receptor RNA activator protein

Myo-D

myogenic differentiation 1

DRRRNA

DNA enhancer elements Distal Regulatory Regions RNA

CERNA

Core Enhancer RNA

linc-MD1

lincRNA Muscle Differentiation 1

HuR

human antigen R

ANCR

anti-differentiation ncRNA

TINCR

tissue differentiation-inducing non-protein coding RNA

STAU-1

staufen double-stranded RNA binding protein 1

HSF1

heat-shock transcription factor 1

HSR1

heat shock RNA-1

HIF

hypoxia inducible factor

VHL

Von Hippel–Lindau

aHIF

antisense HIF

MEG3

maternally expressed gene 3

MDM2

mouse double minute 2 homolog

ERIC

E2F1-Regulated Inhibitor of Cell death

Wrap53

WD repeat containing, antisense to p53

snRNA

small-nucleolar RNA

scaRNA

small Cajal body-specific RNA

TERC

telomerase RNA component

TERT

telomerase reverse transcriptase

RISC

RNA-induced silencing complex

lncRNA-JADE

JADE1 adjacent regulatory RNA

PHB2

prohibitin 2

CARL

cardiac apoptosis-related lncRNA

BACE1

β-secretase-1

ANRIL

antisense non-coding RNA in the INK4 locus

lncRNA-HEIH

lncRNA highly expressed in hepatocellular carcinoma

HULC

highly up-regulated in liver cancer

CDK

cyclin-dependent kinase

PRC-2

polycomb repressive complex 2

SUZ12

suppressor of zeste 12

MALAT-1

metastasis associated lung adenocarcinoma transcript 1

NEAT2

non-coding nuclear-enriched abundant transcript 2

lncRNA-BGL3

beta globin locus transcript 3 (non-protein coding)

Bcl-2/IgH AS

Bcl-2/IgH antisense transcript

ARE

adenine + uracil-rich element

RBM5

RNA binding motif protein 5 (RBM5)

Fas-AS1

Fas-Antisense1

HINCUTs

hypoxia-induced non-coding ultraconserved transcripts

MVIH

lncRNA associated with microvascular invasion in HCC

PGK1

phosphoglycerate kinase 1

NSCLC

non-small cell lung cancer

EMT

epithelial-mesenchymal transition

lncRNA-ATB

lncRNA activated by TGF-β

BANCR

BRAF-activated non-coding RNA

HOTAIR

Hox transcript antisense intergenic RNA

BACE1-AS

BACE1 antisense RNA