Queensland Brain Institute’s Dr. Timothy Bredy and colleagues have discovered an experience-induced non-coding RNA, named ADRAM (activity-dependent lncRNA associated with memory), while investigating how the human genome responds to traumatic experiences.
Exploring lncRNA disruption methods: RNAi with siPOOLs, antisense oligos, and CRISPR, addressing their unique challenges and efficacy.
Adenosine to inosine (A-to-I) RNA editing is the most abundant editing event in animals. It converts adenosine to inosine in double-stranded RNA regions through the action of the adenosine deaminase acting on RNA (ADAR) proteins. Editing of pre-mRNA coding regions can alter the protein codon and inc
Increasing evidence has indicated that long non-coding RNAs (lncRNAs) are implicated in and associated with many complex human diseases. Despite of the accumulation of lncRNA-disease associations, only a few studies had studied the roles of these associations in pathogenesis. In this paper, researc
This book is a collection of eight articles, of which seven are reviews and one is a research paper, that together form a Special Issue that describes the roles that long noncoding RNAs (lncRNA) play in gene regulation at a post-transcriptional level.
This volume assembles a broad spectrum of methods used in long non-coding RNAs (lncRNA) research, ranging from computational annotation of lncRNA genes to molecular and cellular analyses of the function of individual lncRNA. Long Non-Coding RNAs: Methods and Protocols also discusses methods used to study circular RNAs and RNA splicing, as well as influential findings on lncRNA in human diseases. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Thorough and cutting-edge, Long Non-Coding RNAs: Methods and Protocols is a must-have for molecular biologists, cell and developmental biologists, specialists who conduct disease-oriented research, and bioinformatics experts who seek a better understanding on lncRNA expression and function by computational analysis of the massive sequencing data that are rapidly accumulating in recent years.
The field of lncRNA research is in the midst of a rapid discovery phase, but that doesn’t mean your reagents have to be“experimental”. In collaboration with Biogazelle, we’ve designed SmartChip Human lncRNA-1 Panels to maximize your investigation of lncRNA expression. They contain over 1700 triplica
Types of RNA are messenger RNA (mRNA), ribosomal RNA (rRNA), transfer RNA (tRNA), snRNA, snoRNA, lncRNA and catalytic RNA (ribozymes).
This second edition provides a broad spectrum of methods used in long non-coding RNAs (lncRNA) research, ranging from computational annotation of lncRNA genes to molecular and cellular analyses of the function of individual lncRNA. Chapters guide readers through studies used to circular RNAs, RNA splicing, and findings on lncRNA in human diseases. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Long Non-Coding RNAs: Methods and Protocols, Second Edition aims to ensure successful results in the further study of this vital field.
The GENCODE project has collected over 10,000 human long non-coding RNA (lncRNA) genes. However, the vast majority of them remain to be functionally characterized. Computational investigation of potential functions of human lncRNA genes is helpful to guide further experimental studies on lncRNAs. In this study, based on expression correlation between lncRNAs and protein-coding genes across
The long non-coding RNAs (lncRNAs) are characterized by their length exceeding 200 nucleotides and their lack of protein-coding potential.
Evidence accumulated over the past decade shows that long non-coding RNAs (lncRNAs) are widely expressed and have key roles in gene regulation...
LncRNAs are non-coding RNAs with a length of more than 200 nucleotides. More and more evidence shows that lncRNAs are inextricably linked with diseases. To make up for the shortcomings of traditional methods, researchers began to collect relevant biological data in the database and used bioinformatics prediction tools to predict the associations between lncRNAs and diseases, which greatly improved the efficiency of the study. To improve the prediction accuracy of current methods, we propose a new lncRNA-disease associations prediction method with attention mechanism, called ResGCN-A. Firstly, we integrated lncRNA functional similarity, lncRNA Gaussian interaction profile kernel similarity, disease semantic similarity, and disease Gaussian interaction profile kernel similarity to obtain lncRNA comprehensive similarity and disease comprehensive similarity. Secondly, the residual graph convolutional network was used to extract the local features of lncRNAs and diseases. Thirdly, the new attention mechanism was used to assign the weight of the above features to further obtain the potential features of lncRNAs and diseases. Finally, the training set required by the Extra-Trees classifier was obtained by concatenating potential features, and the potential associations between lncRNAs and diseases were obtained by the trained Extra-Trees classifier. ResGCN-A combines the residual graph convolutional network with the attention mechanism to realize the local and global features fusion of lncRNA and diseases, which is beneficial to obtain more accurate features and improve the prediction accuracy. In the experiment, ResGCN-A was compared with five other methods through 5-fold cross-validation. The results show that the AUC value and AUPR value obtained by ResGCN-A are 0.9916 and 0.9951, which are superior to the other five methods. In addition, case studies and robustness evaluation have shown that ResGCN-A is an effective method for predicting lncRNA-disease associations. The source code for ResGCN-A will be available at https://github.com/Wangxiuxiun/ResGCN-A .
The long non-coding RNAs (lncRNAs) are characterized by their length exceeding 200 nucleotides and their lack of protein-coding potential.
This volume presents techniques needed for the study of long non-coding RNAs (lncRNAs) in cancer from their identification to functional characterization. Chapters guide readers through identification of lncRNA expression signatures in cancer tissue or liquid biopsies by RNAseq, single Cell RNAseq, Phospho RNAseq or Nanopore Sequencing techniques; validation of lncRNA signatures by Real time PCR, digital PCR or in situ hybridization; and functional analysis by siRNA or CRISPR based methods for lncRNA silencing or overexpression. Lipid based nanoparticles for delivery of siRNAs in vivo, lncRNA-protein interactions, viral lncRNAs and circRNAs are also treated in this volume. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and practical, Long Non-Coding RNAs in Cancer aims to provide a collection of laboratory protocols, bioinformatic pipelines, and review chapters to further research in this vital field.
starBase v2.0 for decoding miRNA-mRNA, miRNA-ceRNA, miRNA-lncRNA, miRNA-circRNA, miRNA-pseudogene and protein-RNA interaction networks from CLIP-Seq (HITS-CLIP, PAR-CLIP, iCLIP, CLASH) data. starBase v2.0 also provides visualization, analysis, discovery and downloading of above-mentioned large-scal
This book examines key issues in lncRNA biology, including critical studies that have led to the discovery and annotation of lncRNAs in numerous species and the molecular mechanisms for a few lncRNA that have begun to emerge.\nLong non-coding RNAs (lnc)RNAs have emerged as a new paradigm in epigenetic regulation of the genome. Thousands of lncRNAs have been identified and observed in a wide range of organisms. Unlike mRNA, lncRNA have no protein-coding capacity. So, while their function is not entirely clear, they may serve as key organizers of protein complexes that allow for higher order regulatory events. Discovering these functions has been the result of intense research done of the last few years, and lncRNA research has had several critical developments during that time. This book will consolidate these ideas and models to better examine the most important issues in lncRNA biology. This will include critical studies that have led to the discovery and annotation of lncRNAs in numerous species, and the molecular mechanisms for a few lncRNA that have begun to emerge.
Noninvasive prenatal screening (NIPS) has emerged as a highly accurate method of screening for fetal Down syndrome, with a detection rate and specificity approaching 100%. Challenging the widespread use of this technology are cost and the paradigm shift in counseling that accompanies any emerging technology. The expense of the test is expected to decrease with increased utilization, and well beyond the current NIPS technology, its components (fetal genome measurements, sequencing technology, and bioinformatics) will be utilized alone or in combinations to interrogate the fetal genome. The end goal is simple: to offer patients information early in pregnancy about fetal genomes without incurring procedural risks. This will allow patients an opportunity to make informed reproductive and pregnancy management decisions based on precise fetal genomic information.
Long intergenic non-coding RNAs (lncRNAs) represent an emerging and under-studied class of transcripts that play a significant role in human cancers. Due to the tissue- and cancer-specific expression patterns observed for many lncRNAs it is believed that they could serve as ideal diagnostic biomarkers. However, until each tumor type is examined more closely, many of
Long non-coding RNAs (lncRNAs) are an important class of pervasive genes involved in a variety of biological functions. They are aberrantly expressed in many types of diseases. In this study, we aimed to investigate the lncRNA profiles in preeclampsia. Preeclampsia has been observed in patients with
An unexpected layer of complexity in the genomes of humans and other vertebrates lies in the abundance of genes that do not appear to encode proteins but produce a variety of non-coding RNAs. In particular, the human genome is currently predicted to contain 5,000–10,000 independent gene units genera
Long non-coding RNAs (lncRNAs) are emerging as an integral functional component of human genome and have been investigated as critical regulators in molecular biology of cancer. A recent study reported that lncRNA-UCA1 induced drug resistance in adriamycin chemotherapy. However, the contributions of
The metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) is a bona fide long noncoding RNA (lncRNA). MALAT1, also known as nuclear-enriched transcript 2 (NEAT2), was discovered as a prognostic marker for lung cancer metastasis but also has been linked to several other human tumor entities
The mammalian genome harbors thousands of long noncoding RNA (lncRNA) genes. Recent studies have indicated the involvement of several of these lncRNAs in the regulation of gene expression. lncRNAs play crucial roles in various biological processes ranging from epigenetic gene regulation, transcripti
In addition to protein-coding genes, the human genome makes a large amount of noncoding RNAs, including microRNAs and long noncoding RNAs (lncRNAs). Both microRNAs and lncRNAs have been shown to have a critical role in the regulation of cellular processes such as cell growth and apoptosis, as well a
Impairment of double-stranded DNA break (DSB) repair is essential to many cancers. However, although mutations in DSB repair proteins are common in hereditary cancers, mechanisms of impaired DSB repair in sporadic cancers remain incompletely understood. Here, a team led by researchers at the Michig
Although the function and mechanism of action of long non-coding RNAs (lncRNA) is still not completely known, studies have shown their potential role in the control of gene expression and regulation, in cellular proliferation and invasiveness at the transcriptional level via multiple mechanisms. Re
Researchers from Nanjing Medical University downloaded two publicly available human exon arrays for gastric cancer and data for the corresponding normal tissue from the Gene Expression Omnibus (GEO) and re-annotated the probes of the human exon arrays to discover probes uniquely mapping to lncRNAs a
Functional non-coding DNA
MAARS, pour Macrophage-Associated Atherosclerosis lncRNA Sequence, c’est le nom de cet ARN long non codant qui pourrait jouer un rôle clé dans les maladies cardiovasculaires. Identifié par une équipe du Brigham and Women's Hospital (BWH, Boston), en concentration multipliée par 270 dans les parois endothéliales en cas d’athérosclérose, MAARS apparaît, avec ces travaux publiés dans la revue Nature Communications, comme une cible en puissance pour lutter et prévenir la maladie cardiovasculaire.
