| Literature DB >> 34968230 |
Rashidul Islam1, Christopher Lai2.
Abstract
Long non-coding RNAs (lncRNAs) are a novel class of regulatory RNA molecules and they are involved in many biological processes and disease developments. Several unique features of lncRNAs have been identified, such as tissue-and/or cell-specific expression pattern, which suggest that they could be potential candidates for therapeutic and diagnostic applications. More recently, the scope of lncRNA studies has been extended to endothelial biology research. Many of lncRNAs were found to be critically involved in the regulation of endothelial function and its associated disease progression. An improved understanding of endothelial biology can thus facilitate the discovery of novel biomarkers and therapeutic targets for endothelial dysfunction-associated diseases, such as abnormal angiogenesis, hypertension, diabetes, and atherosclerosis. Nevertheless, the underlying mechanism of lncRNA remains undefined in previous published studies. Therefore, in this review, we aimed to discuss the current methodologies for discovering and investigating the functions of lncRNAs and, in particular, to address the functions of selected lncRNAs in endothelial dysfunction-associated diseases.Entities:
Keywords: angiogenesis; atherosclerosis; diabetes; endothelial dysfunction; hypertension; lncRNAs
Year: 2019 PMID: 34968230 PMCID: PMC8594677 DOI: 10.3390/epigenomes3030020
Source DB: PubMed Journal: Epigenomes ISSN: 2075-4655
Figure 1A summary of the functional correlations between Long non-coding RNAs (lncRNAs), Endothelial dysfunction (ED) and ED-associated diseases (red arrows represent downregulation or inhibition, green arrows represent upregulation and blue arrows represent possessing causal relationship).
Figure 2A summary of the current available methodologies for the discovery and characterization of the cellular functions of lncRNAs. RNA-seq: RNA sequencing; SAGE: Serial analysis of gene expression; CAGE: Cap analysis of gene expression; ASOs: Antisense oligonucleotides; CRISPRi: CRISPR interference; siRNA: Small interfering RNA; shRNA: Short hairpin RNA; smRNA: Single-molecule RNA; FISH: Fluorescence in situ hybridization; CHART: Capture hybridization analysis of RNA target; ChIRP: Chromatin isolation by RNA purification; RAP: RNA antisense purification; CLASH: Cross-linking, ligation and sequencing of hybrid; RIP: RNA immunoprecipitation; HITS-CLIP: High-throughput sequencing of RNA isolated by cross-linking immunoprecipitatio; PAR-CLIP: Photoactivatable ribonucleotide-enhanced cross linking and immunoprecipitation.
An overview of the commonly used methodologies to identify lncRNAs and the advantages and disadvantages over its use. SAGE: Serial analysis of gene expression; CAGE: Cap analysis of gene expression; RNA-seq: RNA sequencing
| Method | Advantages | Disadvantages | References |
|---|---|---|---|
| Tiling arrays |
Able to identify and quantify the expression level of transcripts (up to few hundred fold) |
Limited to distinguish different isoforms and allelic expression Higher background noise and cost effective | [ |
| SAGE |
Allows novel transcripts identification Capable to distinguish different isoforms and allelic expression |
Relatively low-throughput High cost effective | [ |
| CAGE |
Can identify promoter region and TSS |
Limited to the 5′-capped transcripts High cost effective | [ |
| RNA-Seq |
Able to identify and quantify the expression level of transcripts (>8000 fold) Allows to distinguish different isoforms and allelic expression Lower background noise |
Time consuming method Complex bioinformatics (data analysis) issues | [ |
The advantages and disadvantages of different widely used methods to investigate the cellular functions of lncRNAs in different physiological and/or pathological conditions. RNAi: RNA interference; siRNA: Small interfering RNA; shRNA: Short hairpin RNA; ASOs: Antisense oligonucleotides; sgRNA: Single guide RNA; CRISPRi: CRISPR interference; dCas9: nuclease-dead deactivated Cas9.
| Method | Advantages | Disadvantages | References |
|---|---|---|---|
| RNAi |
High knockdown efficiency shRNAs allow inducible and sable silencing for long-term Relatively fast and easy to use Cost effective |
Inducible and sable long-term silencing is not possible with siRNAs Knockdown variability and incompleteness Off-target effect of siRNA | [ |
| ASOs |
Able to knockdown nuclear lncRNA Easy to modify probe length to increase efficiency |
Less effective to cytoplasmic lncRNA Higher off-target effect | [ |
| CRISPR/Cas9 |
Highly specific and negligible off-target effect High recombination frequency Multiple sgRNA can be used to achieve complete lncRNA perturbation |
Interaction with neighboring genes Provides false positive effect | [ |
| CRISPRi |
Provides robust gene suppression and activation Effective in both nucleus and cytoplasmic lncRNA Highly specific with minimal off-target effect |
dCas9 can repress downstream genes within an operon instead of an individual gene Multiple components need to transfect into the cell | [ |
Advantages and disadvantages of commonly available methods to identify the subcellular localization and potential interaction of lncRNAs with DNA, RNA, and protein. smRNA-FISH: single-molecule RNA fluorescence in situ hybridization; CHART: Capture hybridization analysis of RNA target; ChIRP: Chromatin isolation by RNA purification; RAP: RNA antisense purification; RAP-RNA: RNA antisense purification followed by RNA sequencing; CLASH: Cross-linking, ligation and sequencing of hybrids; RIP: RNA immunoprecipitation; HITS-CLIP: High-throughput sequencing of RNA isolated by cross-linking immunoprecipitation; PAR-CLIP: Photoactivatable ribonucleotide-enhanced cross linking and immunoprecipitation.
| Purpose of Study | Method | Advantages | Disadvantages | References |
|---|---|---|---|---|
| Identification of subcellular localization | smRNA-FISH |
Detect the subcellular localization of low-abundance lncRNA Quantify the absolute level of lncRNA |
Possibility to detect false positive result | [ |
| Investigation of lncRNA-DNA interaction | CHART |
No prior knowledge is required Reduced background signal due to fewer probes used |
Cross linking agent formaldehyde is not efficient enough Time consuming method | [ |
| ChIRP |
Able to detect genome-wide lncRNA-DNA binding sites Less off-target effect |
Incapable to disclose individual lncRNA domain function Higher noise-to-signal ratio | [ | |
| RAP |
Able to detect residual lncRNA fragments Provides higher binding affinity to target lncRNA due to larger RNA probe used Reduced signal-to-noise ratio |
Difficult to synthesize long probes Higher off-target effect Prior knowledge is required | [ | |
| Investigation of lncRNA-RNA interaction | RAP-RNA |
Different versions are available to analyze RNA-RNA interactions Can detect both direct and indirect RNA-RNA interaction |
RNA sequence needed to be known Relatively complex to design | [ |
| CLASH |
Capable to map RNA-RNA interactions in vivo Provides RNA-RNA binding sites & level resolution |
Relatively low efficiency Low ligation rate between short RNA fragments Bait protein information is required | [ | |
| Investigation of lncRNA-protein interaction | RIP |
Capable to map specific RNA-Protein complexes Higher binding resolution and low background signal No prior knowledge is required |
Required known protein specific antibodies False negative result can be generated Nonspecific antibodies cannot be used | [ |
| HITS-CLIP |
Reduced background noise Able to detect actual RBP binding sites even with few nucleotides |
Low sensitivity compared to RIP Mutations can be induced due to the use of UV light | [ | |
| PAR-CLIP |
Provides efficient mapping of RNA-protein interaction Decreased signal-to-noise ratio Develop specific sequence mutations |
Limited to in vitro study Pull-down of non-specific protein | [ |
Figure 3The correlations of functional involvements of long non-coding RNAs (lncRNAs) in abnormal angiogenesis, hypertension, atherosclerosis, and diabetes. Green arrows represent up-regulation and red arrows represent down regulation/ inhibition. All abbreviations mentioned in the figure are spelled out in the end of the article.
The correlations of the functional involvement of different lncRNAs in ED and angiogenesis. HULC: Highly upregulated in liver cancer; ESM-1: endothelial cell specific molecule; PI3K: Phosphatidylinositol 3-kinase; Akt: AKT serine/threonine kinase 1; EC: Endothelial cell; SNHG12: Small nucleolar RNA host gene 12; OGD: oxygen-glucose deprivation; VEGF: Vascular endothelial growth factor; MALAT1: Metastasis associated lung adenocarcinoma transcript 1; SMMECs: Skeletal muscle microvascular endothelial cells; VEGFR2: VEGF receptor 2; TAMs: Tumor-associated macrophages; ERK: extracellular signal-regulated kinase; MMP: Matrix metalloproteinase; FAK: Focal adhesion kinase; FGF2: Fibroblast Growth Factor 2; UBE2CP3: Ubiquitin conjugating enzyme E2 C pseudogene 3; VEGFA: Vascular endothelial growth factor A; ERK1: Extracellular signal-regulated kinase 1; HIF-1α: hypoxia inducible factor 1 subunit alpha; PVT1: Plasmacytoma variant translocation 1; CTGF: connective tissue growth factor; ANGPT2: angiopoietin 2; HUVECs: Human umbilical vein endothelial cells; VEC: vascular endothelial cells; oxLDL: oxidized low-density lipoprotein; TUG1: Taurine up-regulated 1; UCA1: Urothelial cancer associated 1; HMEC: Human microvascular endothelial cells; MEK: Mitogen-activated protein kinase kinase; MEG3: Maternally expressed 3; RBMVECs; Rat brain microvascular endothelial cells; NOX4: NADPH Oxidase 4; Cdc42: cell division cycle 42; HOTAIR: HOX transcript antisense RNA; GRP78: glucose regulated protein 78.
| Name | Location | Disease Association | Correlations of the Functional Involvement of lncRNAs in ED and Angiogenesis | References |
|---|---|---|---|---|
| HULC | 6p24.3 | Gliomas | Promotes angiogenesis through regulating endothelial cell specific molecule 1 (ESM-1) via PI3K/AKT/mTOR pathway | [ |
| Angiogenesis | Regulates EC angiogenesis via sequestrating miR-124 | [ | ||
| Small nucleolar RNA host gene 12 (SNHG12) | 1p35.3 | Ischemic stroke | Promotes angiogenesis of oxygen-glucose deprivation (OGD)-treated brain microvascular EC through regulating miR-150/VEGF pathway | [ |
| MALAT1 | 11q13.1 | Hindlimb ischemia | Promotes cell-autonomous angiogenesis of skeletal muscle microvascular endothelial cells (SMMECs) via VEGFR2 regulation | [ |
| Thyroid cancer | Promotes angiogenesis through regulating fibroblast Growth Factor 2 (FGF2) protein secretion from tumor-associated macrophages (TMAs) | [ | ||
| Gastric cancer | Correlated with endothelial vessel density and promotes angiogenesis by regulating VE-cadherin/β-catenin complex, extracellular signal-regulated kinase (ERK)/ matrix metalloproteinase (MMP), and focal adhesion kinase (FAK)/paxillin signalizing pathways | [ | ||
| Neuroblastoma | Promotes hypoxia-induced angiogenesis by increasing FGF2 expression | [ | ||
| Ubiquitin conjugating enzyme E2 C pseudogene 3 (UBE2CP3) | 4q12 | Hepatocellular carcinoma | Stimulates vascular endothelial growth factor A (VEGFA) secretion and promotes HUVEC proliferation, migration and tube formation through activating ERK1/2/ hypoxia inducible factor 1 subunit alpha (HIF-1α)/VEGFA signalling pathways | [ |
| PVT1 | 8q24.21 | Angiogenesis | Regulates connective tissue growth factor (CTGF) and angiopoietin 2 (ANGPT2) expression through interacting with miR-26b and promotes the angiogenesis of HUVEC | [ |
| Glioma | Promotes glioma VEC proliferation, migration and angiogenesis by regulating miR-186 | [ | ||
| Linc00152 | 2p11.2 | Angiogenesis | Promotes oxidized low-density lipoprotein (oxLDL)-treated HUVEC migration and inhibits apoptosis by sponging miR-4767 that regulates angiogenesis | [ |
| TUG1 | 22q12.2 | Glioblastoma | Promotes glioblastoma-induced EC proliferation, migration and angiogenesis by inhibiting miR-299 | [ |
| Angiogenesis | Regulates rapamycin-mediated inhibition of EC proliferation, migration and tube formation | [ | ||
| Hepatoblastoma | Promotes angiogenesis via regulating VEGFA expression by sponging miR-34a | [ | ||
| Urothelial cancer associated 1 (UCA1) | 19p13.12 | Angiogenesis | Promotes human microvascular endothelial cells (HMEC) proliferation, migration and tube formation through inhibiting miR-195 and activating mitogen-activated protein kinase kinase (MEK)/ERK/mTOR pathways | [ |
| MEG3 | 14q32.2 | Breast cancer | Overexpressed MEG3 suppresses tumour growth and angiogenesis via inhibiting AKT pathway | [ |
| Osteoarthritis | Regulates angiogenesis through inversely association of VEGF levels | [ | ||
| Angiogenesis | Overexpressed MEG3 suppresses VEC proliferation, migration and angiogenesis via regulating miR-9 | [ | ||
| Ischemic brain injury | Downregulated MEG3 promotes angiogenesis via negatively regulated Notch pathways | [ | ||
| Cerebral infarction | Downregulated MEG3 promotes angiogenesis of OGD/R-induced rat brain microvascular endothelial cells (RBMVECs) through regulating P53/NOX4 axis | [ | ||
| Angiogenesis | Downregulated MEG3 suppresses VEGF-induced EC migration and angiogenesis through modulating VEGFR2 expression | [ | ||
| Linc00511 | 17q24.3 | Pancreatic ductal adenocarcinoma | Promotes tumour cells proliferation, migration, invasion and angiogenesis through sponging miR-29b-3p | [ |
| Small nucleolar RNA host gene 15 (SNHG15) | 7p13 | Glioma | Promotes glioma VEC proliferation, migration and tube formation by increasing VEGFA and cell division cycle 42 (Cdc42) expression by targeting miR-153 | [ |
| LincRNA-p21 | 6p21.2 | Non–Small Cell Lung Cancer | Enhances VEGFA production and promotes angiogenesis | [ |
| ANRIL | 9p21.3 | Diabetes mellitus | Overexpressed ANRIL promotes angiogenesis by increasing VEGF expression via activating NF-kB pathway | [ |
| HOTAIR | 12q13.13 | Nasopharyngeal carcinoma | Promotes angiogenesis through upregulating VEGFA and angiopoietin 2 (Ang2) expression by glucose regulated protein 78 (GRP78). | [ |
| H19 | 11p15.5 | Glioma | Promotes glioma-induced angiogenesis by increasing miR-29a | [ |
| LINC00657 | 20q11.23 | Angiogenesis | Promotes oxLDL-mediated EC proliferation, migration and tube formation by interacting with miR-590-3p and increasing VEGF, MMP-2 and MMP-9 expression | [ |
The correlations of the functional involvement of different lncRNAs in ED and diabetes. DM: Diabetes mellitus; IL-6: interleukin-6; TNF-α: Tumor necrosis factor-α; SAA3: Serum amyloid antigen3; MAPK: mitogen-activated protein kinases; PI3K: Phosphatidylinositol 3-kinase; Akt: AKT serine/threonine kinase 1; CeRNA: competing endogenous RNA; MIAT: Myocardial infarction associated transcript; RNCR3: Retinal non-coding RNA3; KLF2: Kruppel like factor 2.
| lncRNA | Correlations of the Functional Involvement of lncRNAs in ED and Diabetes | References |
|---|---|---|
| ANRIL | Up-regulated in DM and alters the EC function through increasing VEGF expression by P300/miR200b/EZH2 | [ |
| MALAT1 | Highly expressed in DM and upregulates inflammatory mediators IL-6 & TNF-α through activating SAA3 and that stimulates DM-induced EC dysfunction via p38MAPK signaling pathway | [ |
| MEG3 | Down-expressed in DM and enhances DM-mediated EC dysfunctions through altering PI3K/Akt signaling pathway | [ |
| Myocardial infarction associated transcript (MIAT) | Induces DM induced EC dysfunction by acting as a competing endogenous RNA (CeRNA) via MIAT/miR-150-5p/VEGF network | [ |
| RNCR3 | Up-regulated in DM and stimulates DM-induced retinal EC dysfunction through regulating RNCR3/ Kruppel like factor 2 (KLF2)/miR-185-5p pathway | [ |
The correlations of the functional involvement of different lncRNAs in ED and atherosclerosis. EC: Endothelial cells; PI3K: Phosphatidylinositol 3-kinase; Akt: AKT serine/threonine kinase 1; mTOR: Mammalian target of rapamycin; MALAT1: Metastasis associated lung adenocarcinoma transcript 1; oxLDL: oxidized low-density lipoprotein; CXCR2: C-X-C Motif Chemokine Receptor 2; HOTAIR: HOX transcript antisense RNA; TSLP: thymic stromal lymphopoietin; LRP2BP: LRP2 binding protein; MMP1: matrix metallopeptidase 1; LOX-1: Lysyl oxidase-like 1; PKCδ; protein kinase C delta; NOD2: nucleotide binding oligomerization domain containing 2; CeRNA: competing endogenous RNA; KLF2: Kruppel like factor.
| lncRNA. | Correlations of the Functional Involvement of lncRNAs in ED and Atherosclerosis | References |
|---|---|---|
| Lnc00113 | Promotes abnormal EC proliferation, survival and migration via activating PI3K/Akt/mTOR pathway that disrupt EC function and develop atherosclerosis | [ |
| MALAT1 | Protects EC from ox-LDL-induced EC dysfunction through inhibiting miR-22-3P and upregulating C-X-C Motif Chemokine Receptor 2 (CXCR2) & AKT expression in the settings of atherosclerosis | [ |
| HOTAIR | Protect EC from injury and enhance EC proliferation, migration and inhibit apoptosis via thymic stromal lymphopoietin (TSLP)-PI3K/AKT-HOTAIR pathway that regulates angiogenesis pathogenesis and progression. | [ |
| RP11-714G18.1 | Suppresses EC migration through RP11-714G18.1/ | [ |
| lincRNA-p21 | Stimulates ox-LDL-induced EC apoptosis and LOX-1 expression via activation of protein kinase C delta (PKCδ) that regulates atherosclerosis pathogenesis | [ |
| TCONS_00024652 | Promotes EC proliferation, migration and angiogenesis via downregulating miR21 expression that stimulates atherosclerosis progression | [ |
| XIST | Promotes ox-LDL-mediated EC injury via miR-320/ nucleotide binding oligomerization domain containing 2 (NOD2) pathway and modulates atherosclerosis | [ |
| RNCR3 | Regulates EC function and accelerates atheroprotective function to the endothelium via acting as a ceRNA and forming a feedback loop with KLF2 and miR-185-5p | [ |