scholarly journals The Emerging Roles of Long Noncoding RNA ROR (lincRNA-ROR) and its Possible Mechanisms in Human Cancers

2016 ◽  
Vol 40 (1-2) ◽  
pp. 219-229 ◽  
Author(s):  
Yan Pan ◽  
Chen Li ◽  
Jing Chen ◽  
Kai Zhang ◽  
Xiaoyuan Chu ◽  
...  
Keyword(s):  
Noncoding Rna ◽  
Massively Parallel Sequencing ◽  
Hepatocellular Cancer ◽  
Messenger Rnas ◽  
Protein Coding ◽  
Human Cancers ◽  
Tumorigenesis And Progression ◽  
Non Coding Rnas ◽  
Underlying Mechanisms ◽  
Induced Pluripotent

To date, there is only up to 2% of protein-coding genes that are stably transcribed, whereas the vast majority are non-coding RNAs (ncRNAs). These ncRNAs, also known as non-messenger RNAs (nmRNAs) or functional RNAs (fRNAs), include transfer RNAs, ribosomal RNAs, microRNAs and long non-coding RNAs (lncRNAs). With the advance of high-resolution microarrays and massively parallel sequencing technology, lncRNAs have gained extended attentions nowadays and are found to play important roles in tumorigenesis and progression of human cancers. Long intergenic non-protein coding RNA, regulator of reprogramming (linc-ROR), was first discovered in induced pluripotent stem cells (iPSCs), where it was controlled by the key pluripotency factors Oct4, Sox2 and Nanog. Linc-ROR has been shown to be dysregulated in many types of cancers, including breast cancer (BC), pancreatic cancer (PC), hepatocellular cancer (HCC), endometrial cancer (EC), and nasopharyngeal carcinoma (NPC). Also, linc-ROR functions as regulatory molecule in a large amount of biological processes. However, the underlying mechanisms of its contribution to carcinogenesis remain to be elucidated. In this review, we will emphasize on the characteristics of linc-ROR and their roles in different types of human cancers.

scholarly journals Long Non-Coding RNAs and Related Molecular Pathways in the Pathogenesis of Epilepsy

2019 ◽  
Vol 20 (19) ◽  
pp. 4898 ◽  
Author(s):  
Villa ◽  
Lavitrano ◽  
Combi
Keyword(s):  
Biological Processes ◽  
Complete Understanding ◽  
Aberrant Expression ◽  
Protein Coding ◽  
Diagnostic Biomarkers ◽  
Functional Roles ◽  
The Central Nervous System ◽  
Non Coding Rnas ◽  
Underlying Mechanisms ◽  
Coding Capacity

Epilepsy represents one of the most common neurological disorders characterized by abnormal electrical activity in the central nervous system (CNS). Recurrent seizures are the cardinal clinical manifestation. Although it has been reported that the underlying pathological processes include inflammation, changes in synaptic strength, apoptosis, and ion channels dysfunction, currently the pathogenesis of epilepsy is not yet completely understood. Long non-coding RNAs (lncRNAs), a class of long transcripts without protein-coding capacity, have emerged as regulatory molecules that are involved in a wide variety of biological processes. A growing number of studies reported that lncRNAs participate in the regulation of pathological processes of epilepsy and they are dysregulated during epileptogenesis. Moreover, an aberrant expression of lncRNAs linked to epilepsy has been observed both in patients and in animal models. In this review, we summarize latest advances concerning the mechanisms of action and the involvement of the most dysregulated lncRNAs in epilepsy. However, the functional roles of lncRNAs in the disease pathogenesis are still to be explored and we are only at the beginning. Additional studies are needed for the complete understanding of the underlying mechanisms and they would result in the use of lncRNAs as diagnostic biomarkers and novel therapeutic targets.

Comparative analysis of protein-coding and long non-coding transcripts based on RNA sequence features

2018 ◽  
Vol 16 (02) ◽  
pp. 1840013 ◽  
Author(s):  
Oxana A. Volkova ◽  
Yury V. Kondrakhin ◽  
Timur A. Kashapov ◽  
Ruslan N. Sharipov
Keyword(s):  
Position Weight Matrix ◽  
Ribosome Profiling ◽  
Messenger Rnas ◽  
Putative Orfs ◽  
Protein Coding ◽  
Rna Translation ◽  
Cell Life ◽  
Experimental Tool ◽  
Non Coding Rnas ◽  
Small Orfs

RNA plays an important role in the intracellular cell life and in the organism in general. Besides the well-established protein coding RNAs (messenger RNAs, mRNAs), long non-coding RNAs (lncRNAs) have gained the attention of recent researchers. Although lncRNAs have been classified as non-coding, some authors reported the presence of corresponding sequences in ribosome profiling data (Ribo-seq). Ribo-seq technology is a powerful experimental tool utilized to characterize RNA translation in cell with focus on initiation (harringtonine, lactimidomycin) and elongation (cycloheximide). By exploiting translation starts obtained from the Ribo-seq experiment, we developed a novel position weight matrix model for the prediction of translation starts. This model allowed us to achieve 96% accuracy of discrimination between human mRNAs and lncRNAs. When the same model was used for the prediction of putative ORFs in RNAs, we discovered that the majority of lncRNAs contained only small ORFs ([Formula: see text][Formula: see text]nt) in contrast to mRNAs.

scholarly journals dbMTS: a comprehensive database of putative human microRNA target site SNVs and their functional predictions

2019 ◽  
Author(s):  
Chang Li ◽  
Michael D. Swartz ◽  
Bing Yu ◽  
Yongsheng Bai ◽  
Xiaoming Liu
Keyword(s):  
Target Site ◽  
Genetic Mutations ◽  
Messenger Rnas ◽  
Microrna Target ◽  
Functional Importance ◽  
Single Nucleotide Variants ◽  
Single Nucleotide ◽  
Protein Coding ◽  
Functional Annotations ◽  
Non Coding Rnas

AbstractmicroRNAs (miRNAs) are short non-coding RNAs that can repress the expression of protein coding messenger RNAs (mRNAs) by binding to the 3’UTR of the target. Genetic mutations such as single nucleotide variants (SNVs) in the 3’UTR of the mRNAs can disrupt this regulatory effect. In this study, we presented dbMTS, the database for miRNA target site (MTS) SNVs, which includes all potential MTS SNVs in the 3’UTR of human genome along with hundreds of functional annotations. This database can help studies easily identify putative SNVs that affect miRNA targeting and facilitate the prioritization of their functional importance. dbMTS is freely available at: https://sites.google.com/site/jpopgen/dbNSFP.

scholarly journals Role of long noncoding RNA taurine‐upregulated gene 1 in cancers

2021 ◽  
Vol 27 (1) ◽  
Author(s):  
Miao Da ◽  
Jing Zhuang ◽  
Yani Zhou ◽  
Quan Qi ◽  
Shuwen Han
Keyword(s):  
Noncoding Rna ◽  
Cancer Cell Proliferation ◽  
Research Directions ◽  
Protein Coding ◽  
Clinical Biomarker ◽  
Non Coding Rnas ◽  
New Research ◽  
Taurine Upregulated Gene 1 ◽  
Competitive Endogenous Rna

AbstractLong non-coding RNAs (lncRNAs) are a group of non-protein coding RNAs with a length of more than 200 bp. The lncRNA taurine up-regulated gene 1 (TUG1) is abnormally expressed in many human malignant cancers, where it acts as a competitive endogenous RNA (ceRNA), regulating gene expression by specifically sponging its corresponding microRNAs. In the present review, we summarised the current understanding of the role of lncRNA TUG1 in cancer cell proliferation, metastasis, angiogenesis, chemotherapeutic drug resistance, radiosensitivity, cell regulation, and cell glycolysis, as well as highlighting its potential application as a clinical biomarker or therapeutic target for malignant cancer. This review provides the basis for new research directions for lncRNA TUG1 in cancer prevention, diagnosis, and treatment.

scholarly journals A new cancer-testis long noncoding RNA, the OTP-AS1 RNA

2018 ◽  
Author(s):  
Iuliia K. Karnaukhova ◽  
Dmitrii E. Polev ◽  
Larisa L. Krukovskaya ◽  
Alexey E. Masharsky ◽  
Olga V. Nazarenko ◽  
...  
Keyword(s):  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Regulation Of Gene Expression ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Protein Coding ◽  
Regulatory Interactions ◽  
Normal Tissues ◽  
Non Coding Rnas ◽  
Cancer Testis

AbstractOrthopedia homeobox (OTP) gene encodes a homeodomain-containing transcription factor involved in brain development. OTP is mapped to human chromosome 5q14.1. Earlier we described transcription in the second intron of this gene in wide variety of tumors, but among normal tissues only in testis. In GeneBank these transcripts are presented by several 300-400 nucleotides long AI267901-like ESTs.We assumed that AI267901-like ESTs belong to longer transcript(s). We used the Rapid Amplification of cDNA Ends (RACE) approach and other methods to find the full-length transcript. The found transcript was 2436 nucleotides long polyadenylated sequence in antisense to OTP gene. The corresponding gene consisted of two exons separated by an intron of 2961 bp long. The first exon was found to be 91 bp long and located in the third exon of OTP gene. The second exon was 2345bp long and located in the second intron of OTP gene.The search of possible open reading frames (ORFs) showed the lack of significant ORFs. We have shown the expression of new gene in many human tumors and only in one sampled normal testis. The data suggest that we discovered a new antisense cancer-testis sequence OTP-AS1 (OTP- antisense RNA 1), which belongs to long noncoding RNAs (lncRNAs). According to our findings we assume that OTP-AS1 and OTP genes may be the CT-coding gene/CT-ncRNA pair involved in regulatory interactions.Author summaryPreviously, long non-coding RNAs (lncRNAs) were considered as genetic “noise”. However, it was later shown that only 2% of genomic transcripts have a protein-coding ability. Non-coding RNA is divided into short non-coding RNAs (20-200 nucleotides) and long noncoding RNAs (200-100,000 nucleotides). Genes encoding lncRNA often overlap or are adjacent to protein-coding genes, and localization of this kind is beneficial in order to regulate the transcription of neighboring genes. Studies have shown that of lncRNAs play many roles in the regulation of gene expression. New evidence indicates that dysfunctions of lncRNAs are associated with human diseases and cancer.In our study we found a new cancer-testis long noncoding RNA (OTP-AS1), which is an antisense of protein-coding cancer-testis gene (OTP). Thus, OTP-AS1 and OTP genes may be the CT-coding gene/CT-ncRNA pair involved in regulatory interactions. This is supported by the similar profile of their expression. OTP-AS1 may be of interest as a potential diagnostic marker of cancer or a potential target for cancer therapy.Part of OTP-AS1 gene (5’-end of the second exon) is evolutionary younger than the rest of gene sequence and is less conservative. This links OTP-AS1 gene with so-called TSEEN (tumor-specifically expressed, evolutionary novel) genes described by the authors in previous papers.

scholarly journals PVT1: A Rising Star among Oncogenic Long Noncoding RNAs

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Teresa Colombo ◽  
Lorenzo Farina ◽  
Giuseppe Macino ◽  
Paola Paci
Keyword(s):  
Noncoding Rna ◽  
Molecular Mechanisms ◽  
Functional Characterization ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Competing Endogenous Rna ◽  
Protein Coding ◽  
Myc Oncogene ◽  
Non Coding Rnas

It is becoming increasingly clear that short and long noncoding RNAs critically participate in the regulation of cell growth, differentiation, and (mis)function. However, while the functional characterization of short non-coding RNAs has been reaching maturity, there is still a paucity of well characterized long noncoding RNAs, even though large studies in recent years are rapidly increasing the number of annotated ones. The long noncoding RNA PVT1 is encoded by a gene that has been long known since it resides in the well-known cancer risk region 8q24. However, a couple of accidental concurrent conditions have slowed down the study of this gene, that is, a preconception on the primacy of the protein-coding over noncoding RNAs and the prevalent interest in its neighbor MYC oncogene. Recent studies have brought PVT1 under the spotlight suggesting interesting models of functioning, such as competing endogenous RNA activity and regulation of protein stability of important oncogenes, primarily of the MYC oncogene. Despite some advancements in modelling the PVT1 role in cancer, there are many questions that remain unanswered concerning the precise molecular mechanisms underlying its functioning.

scholarly journals NOVOMIR: De Novo Prediction of MicroRNA-Coding Regions in a Single Plant-Genome

2010 ◽  
Vol 2010 ◽  
pp. 1-10 ◽  
Author(s):  
Jan-Hendrik Teune ◽  
Gerhard Steger
Keyword(s):  
Noncoding Rna ◽  
De Novo ◽  
Plant Genome ◽  
Messenger Rnas ◽  
Protein Coding ◽  
Rna Molecules ◽  
Coding Regions ◽  
Mirna Genes ◽  
Genomic Scale ◽  
Eukaryotic Genomes

MicroRNAs (miRNA) are small regulatory, noncoding RNA molecules that are transcribed as primary miRNAs (pri-miRNA) from eukaryotic genomes. At least in plants, their regulatory activity is mediated through base-pairing with protein-coding messenger RNAs (mRNA) followed by mRNA degradation or translation repression. We describeNOVOMIR, a program for the identification of miRNA genes in plant genomes. It uses a series of filter steps and a statistical model to discriminate a pre-miRNA from other RNAs and does rely neither on prior knowledge of a miRNA target nor on comparative genomics. The sensitivity and specificity ofNOVOMIR for detection of premiRNAs fromArabidopsis thalianais ~0.83 and ~0.99, respectively. Plant pre-miRNAs are more heterogeneous with respect to size and structure than animal pre-miRNAs. Despite these difficulties,NOVOMIR is well suited to perform searches for pre-miRNAs on a genomic scale.NOVOMIR is written in Perl and relies on two additional, free programs for prediction of RNA secondary structure (RNALFOLD, RNASHAPES).

scholarly journals Integrative Analysis of Long Non-coding RNAs, Messenger RNAs, and MicroRNAs Indicates the Neurodevelopmental Dysfunction in the Hippocampus of Gut Microbiota-Dysbiosis Mice

2022 ◽  
Vol 14 ◽  
Author(s):  
Lanxiang Liu ◽  
Haiyang Wang ◽  
Xueyi Chen ◽  
Yangdong Zhang ◽  
Wenxia Li ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Gut Microbiota ◽  
Depressive Disorder ◽  
Differentially Expressed ◽  
Messenger Rnas ◽  
Major Depressive ◽  
Epigenetic Biomarkers ◽  
Non Coding Rnas ◽  
Underlying Mechanisms ◽  
Gut Microbiota Dysbiosis

Major depressive disorder is caused by gene–environment interactions and the gut microbiota plays a pivotal role in the development of depression. However, the underlying mechanisms remain elusive. Herein, the differentially expressed hippocampal long non-coding RNAs (lncRNAs), messenger RNAs (mRNAs), and microRNAs (miRNAs) between mice inoculated with gut microbiota from major depressive disorder patients or healthy controls were detected, to identify the effects of gut microbiota-dysbiosis on gene regulation patterns at the transcriptome level, and in further to explore the microbial-regulated pathological mechanisms of depression. As a result, 200 mRNAs, 358 lncRNAs, and 4 miRNAs were differentially expressed between the two groups. Functional analysis of these differential mRNAs indicated dysregulated inflammatory response to be the primary pathological change. Intersecting these differential mRNAs with targets of differentially expressed miRNAs identified 47 intersected mRNAs, which were mainly related to neurodevelopment. Additionally, a microbial-regulated lncRNA–miRNA–mRNA network based on RNA–RNA interactions was constructed. Subsequently, according to the competitive endogenous RNAs (ceRNA) hypothesis and the biological functions of these intersected genes, two neurodevelopmental ceRNA sub-networks implicating in depression were identified, one including two lncRNAs (4930417H01Rik and AI480526), one miRNA (mmu-miR-883b-3p) and two mRNAs (Adcy1 and Nr4a2), and the other including six lncRNAs (5930412G12Rik, 6430628N08Rik, A530013C23Rik, A930007I19Rik, Gm15489, and Gm16251), one miRNA (mmu-miR-377-3p) and three mRNAs (Six4, Stx16, and Ube3a), and these molecules could be recognized as potential genetic and epigenetic biomarkers in microbial-associated depression. This study provides new understanding of the pathogenesis of depression induced by gut microbiota-dysbiosis and may act as a theoretical basis for the development of gut microbiota-based antidepressants.

MicroRNAs in platelet biogenesis and function

2012 ◽  
Vol 108 (10) ◽  
pp. 599-604 ◽  
Author(s):  
Seema Dangwal ◽  
Thomas Thum
Keyword(s):  
Expression Patterns ◽  
The Body ◽  
Messenger Rnas ◽  
Complementary Sequence ◽  
Protein Coding ◽  
Translational Machinery ◽  
Coronary Syndrome ◽  
Sequence Recognition ◽  
Non Coding Rnas ◽  
And Function

SummaryPlatelets are important to maintain primary haemostasis and play a key role in pathology of thrombotic and occlusive vascular disorders such as acute coronary syndrome or stroke. Despite of lacking a nucleus and genomic DNA, platelets possess diverse types of RNAs, ranging from protein coding messenger RNAs to small non-coding RNAs inherited from their parent megakaryocytes. Indeed, platelets are capable of using their own translational machinery to synthesise proteins upon their activation suggesting the possibility of post-transcriptional gene regulation in platelets. MicroRNAs (miRNAs) are highly conserved, tiny non-coding RNAs exhibiting a fine-tune control of protein expression by complementary sequence recognition, binding and translational repression of protein coding mRNA transcripts. Multiple functional aspects of miRNAs as well as their expression in platelets or megakaryocytes underscore a role in platelet biology. Changes in miRNA expression patterns have been noted during platelet genesis and activation. In the present review we highlight recently identified megakaryocytic/platelet miRNAs and discuss their role in platelet biogenesis and functions essential to maintain haemostasis in the body.

scholarly journals Regulatory RNAs in Heart Failure

Circulation ◽  
2020 ◽  
Vol 141 (4) ◽  
pp. 313-328 ◽  
Author(s):  
Clarissa Pedrosa da Costa Gomes ◽  
Blanche Schroen ◽  
Gabriela M. Kuster ◽  
Emma L. Robinson ◽  
Kerrie Ford ◽  
...  
Keyword(s):  
Gene Expression ◽  
Heart Failure ◽  
Cardiovascular Disease ◽  
Noncoding Rna ◽  
Regulation Of Gene Expression ◽  
Noncoding Rnas ◽  
Circular Rnas ◽  
Regulatory Rna ◽  
Messenger Rnas ◽  
Protein Coding

Cardiovascular disease is an enormous socioeconomic burden worldwide and remains a leading cause of mortality and disability despite significant efforts to improve treatments and personalize healthcare. Heart failure is the main manifestation of cardiovascular disease and has reached epidemic proportions. Heart failure follows a loss of cardiac homeostasis, which relies on a tight regulation of gene expression. This regulation is under the control of multiple types of RNA molecules, some encoding proteins (the so-called messenger RNAs) and others lacking protein-coding potential, named noncoding RNAs. In this review article, we aim to revisit the notion of regulatory RNA, which has been thus far mainly confined to noncoding RNA. Regulatory RNA, which we propose to abbreviate as regRNA, can include both protein-coding RNAs and noncoding RNAs, as long as they contribute, directly or indirectly, to the regulation of gene expression. We will address the regulation and functional role of messenger RNAs, microRNAs, long noncoding RNAs, and circular RNAs (ie, regRNAs) in heart failure. We will debate the utility of regRNAs to diagnose, prognosticate, and treat heart failure, and we will provide directions for future work.

Sign in / Sign up

Export Citation Format

Share Document