scholarly journals LncTarD: a manually-curated database of experimentally-supported functional lncRNA–target regulations in human diseases

2019 ◽  
Author(s):  
Hongying Zhao ◽  
Jian Shi ◽  
Yunpeng Zhang ◽  
Aimin Xie ◽  
Lei Yu ◽  
...  
Keyword(s):  
Molecular Mechanisms ◽  
Sequence Data ◽  
Human Diseases ◽  
Regulatory Mechanisms ◽  
Biological Functions ◽  
Functional Dynamics ◽  
Disease Associations ◽  
Non Coding Rnas ◽  
User Friendly ◽  
Pan Cancer

Abstract Long non-coding RNAs (lncRNAs) are associated with human diseases. Although lncRNA–disease associations have received significant attention, no online repository is available to collect lncRNA-mediated regulatory mechanisms, key downstream targets, and important biological functions driven by disease-related lncRNAs in human diseases. We thus developed LncTarD (http://biocc.hrbmu.edu.cn/LncTarD/ or http://bio-bigdata.hrbmu.edu.cn/LncTarD), a manually-curated database that provides a comprehensive resource of key lncRNA–target regulations, lncRNA-influenced functions, and lncRNA-mediated regulatory mechanisms in human diseases. LncTarD offers (i) 2822 key lncRNA–target regulations involving 475 lncRNAs and 1039 targets associated with 177 human diseases; (ii) 1613 experimentally-supported functional regulations and 1209 expression associations in human diseases; (iii) important biological functions driven by disease-related lncRNAs in human diseases; (iv) lncRNA–target regulations responsible for drug resistance or sensitivity in human diseases and (v) lncRNA microarray, lncRNA sequence data and transcriptome data of an 11 373 pan-cancer patient cohort from TCGA to help characterize the functional dynamics of these lncRNA–target regulations. LncTarD also provides a user-friendly interface to conveniently browse, search, and download data. LncTarD will be a useful resource platform for the further understanding of functions and molecular mechanisms of lncRNA deregulation in human disease, which will help to identify novel and sensitive biomarkers and therapeutic targets.

The impact of Traditional Chinese Medicine on mitophagy in disease models

2021 ◽  
Vol 27 ◽  
Author(s):  
Li-Ping Yu ◽  
Ting-Ting Shi ◽  
Yan-Qin Li ◽  
Jian-Kang Mu ◽  
Ya-Qin Yang ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Molecular Mechanisms ◽  
Human Diseases ◽  
Regulatory Mechanisms ◽  
Disease Models ◽  
Relationship Of ◽  
The Impact ◽  
The Relationship

: Mitophagy plays an important role in maintaining mitochondrial quality and cell homeostasis through the degradation of damaged, aged, and dysfunctional mitochondria and misfolded proteins. Many human diseases, particularly neurodegenerative diseases, are related to disorders of mitochondrial phagocytosis. Exploring the regulatory mechanisms of mitophagy is of great significance for revealing the molecular mechanisms underlying the related diseases. Herein, we summarize the major mechanisms of mitophagy, the relationship of mitophagy with human diseases, and the role of traditional Chinese medicine (TCM) in mitophagy. These discussions enhance our knowledge of mitophagy and its potential therapeutic targets using TCM.

DLX6-AS1: a putative lncRNA candidate in multiple human cancers

2021 ◽  
Vol 23 ◽  
Author(s):  
Mohsen Sheykhhasan ◽  
Yaghoub Ahmadyousefi ◽  
Reihaneh Seyedebrahimi ◽  
Hamid Tanzadehpanah ◽  
Hamed Manoochehri ◽  
...  
Keyword(s):  
Cancer Progression ◽  
Critical Analysis ◽  
Molecular Mechanisms ◽  
Signalling Pathways ◽  
Biological Functions ◽  
Initial Development ◽  
Human Cancers ◽  
Expression Of Genes ◽  
Non Coding Rnas ◽  
Research Studies

Abstract Long non-coding RNAs (lncRNAs) have important roles in regulating the expression of genes and act as biomarkers in the initial development of different cancers. Increasing research studies have verified that dysregulation of lncRNAs occurs in various pathological processes including tumorigenesis and cancer progression. Among the different lncRNAs, DLX6-AS1 has been reported to act as an oncogene in the development and prognoses of different cancers, by affecting many different signalling pathways. This review summarises and analyses the recent research studies describing the biological functions of DLX6-AS1, its overall effect on signalling pathways and the molecular mechanisms underlying its action on the expression of genes in multiple human cancers. Our critical analysis suggests that different signalling pathways associated to this lncRNA may be used as a biomarker for diagnosis, or targets of treatment in cancers.

scholarly journals LncExpDB: an expression database of human long non-coding RNAs

2020 ◽  
Vol 49 (D1) ◽  
pp. D962-D968 ◽  
Author(s):  
Zhao Li ◽  
Lin Liu ◽  
Shuai Jiang ◽  
Qianpeng Li ◽  
Changrui Feng ◽  
...  
Keyword(s):  
Expression Profiles ◽  
Biological Functions ◽  
Protein Coding ◽  
Web Interfaces ◽  
Functional Studies ◽  
Protein Coding Genes ◽  
Genes Expression ◽  
Wide Range ◽  
Non Coding Rnas ◽  
User Friendly

Abstract Expression profiles of long non-coding RNAs (lncRNAs) across diverse biological conditions provide significant insights into their biological functions, interacting targets as well as transcriptional reliability. However, there lacks a comprehensive resource that systematically characterizes the expression landscape of human lncRNAs by integrating their expression profiles across a wide range of biological conditions. Here, we present LncExpDB (https://bigd.big.ac.cn/lncexpdb), an expression database of human lncRNAs that is devoted to providing comprehensive expression profiles of lncRNA genes, exploring their expression features and capacities, identifying featured genes with potentially important functions, and building interactions with protein-coding genes across various biological contexts/conditions. Based on comprehensive integration and stringent curation, LncExpDB currently houses expression profiles of 101 293 high-quality human lncRNA genes derived from 1977 samples of 337 biological conditions across nine biological contexts. Consequently, LncExpDB estimates lncRNA genes’ expression reliability and capacities, identifies 25 191 featured genes, and further obtains 28 443 865 lncRNA-mRNA interactions. Moreover, user-friendly web interfaces enable interactive visualization of expression profiles across various conditions and easy exploration of featured lncRNAs and their interacting partners in specific contexts. Collectively, LncExpDB features comprehensive integration and curation of lncRNA expression profiles and thus will serve as a fundamental resource for functional studies on human lncRNAs.

Inferring novel lncRNA–disease associations based on a random walk model of a lncRNA functional similarity network

2014 ◽  
Vol 10 (8) ◽  
pp. 2074-2081 ◽  
Author(s):  
Jie Sun ◽  
Hongbo Shi ◽  
Zhenzhen Wang ◽  
Changjian Zhang ◽  
Lin Liu ◽  
...  
Keyword(s):  
Random Walk ◽  
Functional Similarity ◽  
Random Walk Model ◽  
Human Diseases ◽  
Similarity Network ◽  
Disease Associations ◽  
Non Coding Rnas

Accumulating evidence demonstrates that long non-coding RNAs (lncRNAs) play important roles in the development of complex human diseases. Predicting novel human lncRNA–disease associations is a challenging and essential task.

scholarly journals Long non-coding RNAs in brain tumors: roles and potential as therapeutic targets

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Sung-Hyun Kim ◽  
Key-Hwan Lim ◽  
Sumin Yang ◽  
Jae-Yeol Joo
Keyword(s):  
Brain Tumors ◽  
Molecular Mechanisms ◽  
Expression Patterns ◽  
Tumor Therapy ◽  
Adverse Outcomes ◽  
Biological Functions ◽  
Aberrant Expression ◽  
Biological Phenomena ◽  
Non Coding Rna ◽  
Non Coding Rnas

AbstractBrain tumors are associated with adverse outcomes despite improvements in radiation therapy, chemotherapy, and photodynamic therapy. However, treatment approaches are evolving, and new biological phenomena are being explored to identify the appropriate treatment of brain tumors. Long non-coding RNAs (lncRNAs), a type of non-coding RNA longer than 200 nucleotides, regulate gene expression at the transcriptional, post-transcriptional, and epigenetic levels and are involved in a variety of biological functions. Recent studies on lncRNAs have revealed their aberrant expression in various cancers, with distinct expression patterns associated with their instrumental roles in cancer. Abnormal expression of lncRNAs has also been identified in brain tumors. Here, we review the potential roles of lncRNAs and their biological functions in the context of brain tumors. We also summarize the current understanding of the molecular mechanisms and signaling pathways related to lncRNAs that may guide clinical trials for brain tumor therapy.

scholarly journals Lnc2Cancer 3.0: an updated resource for experimentally supported lncRNA/circRNA cancer associations and web tools based on RNA-seq and scRNA-seq data

2020 ◽  
Vol 49 (D1) ◽  
pp. D1251-D1258
Author(s):  
Yue Gao ◽  
Shipeng Shang ◽  
Shuang Guo ◽  
Xin Li ◽  
Hanxiao Zhou ◽  
...  
Keyword(s):  
Genetic Variants ◽  
Regulatory Mechanisms ◽  
Circular Rnas ◽  
Rna Seq ◽  
Biological Functions ◽  
Cancer Subtypes ◽  
Web Tools ◽  
Online Tools ◽  
Non Coding Rnas ◽  
Mesenchymal Transformation

Abstract An updated Lnc2Cancer 3.0 (http://www.bio-bigdata.net/lnc2cancer or http://bio-bigdata.hrbmu.edu.cn/lnc2cancer) database, which includes comprehensive data on experimentally supported long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) associated with human cancers. In addition, web tools for analyzing lncRNA expression by high-throughput RNA sequencing (RNA-seq) and single-cell RNA-seq (scRNA-seq) are described. Lnc2Cancer 3.0 was updated with several new features, including (i) Increased cancer-associated lncRNA entries over the previous version. The current release includes 9254 lncRNA-cancer associations, with 2659 lncRNAs and 216 cancer subtypes. (ii) Newly adding 1049 experimentally supported circRNA-cancer associations, with 743 circRNAs and 70 cancer subtypes. (iii) Experimentally supported regulatory mechanisms of cancer-related lncRNAs and circRNAs, involving microRNAs, transcription factors (TF), genetic variants, methylation and enhancers were included. (iv) Appending experimentally supported biological functions of cancer-related lncRNAs and circRNAs including cell growth, apoptosis, autophagy, epithelial mesenchymal transformation (EMT), immunity and coding ability. (v) Experimentally supported clinical relevance of cancer-related lncRNAs and circRNAs in metastasis, recurrence, circulation, drug resistance, and prognosis was included. Additionally, two flexible online tools, including RNA-seq and scRNA-seq web tools, were developed to enable fast and customizable analysis and visualization of lncRNAs in cancers. Lnc2Cancer 3.0 is a valuable resource for elucidating the associations between lncRNA, circRNA and cancer.

Piwi-interacting RNAs: biological functions and biogenesis

2013 ◽  
Vol 54 ◽  
pp. 39-52 ◽  
Author(s):  
Kaoru Sato ◽  
Mikiko C. Siomi
Keyword(s):  
Nucleic Acid ◽  
Transposable Elements ◽  
Genetic Information ◽  
Molecular Mechanisms ◽  
Biological Functions ◽  
Next Generation ◽  
Argonaute Proteins ◽  
Non Coding Rnas ◽  
Germline Cells ◽  
Successive Generations

The integrity of the germline genome must be maintained to achieve successive generations of a species, because germline cells are the only source for transmitting genetic information to the next generation. Accordingly, the germline has acquired a system dedicated to protecting the genome from ‘injuries’ caused by harmful selfish nucleic acid elements, such as TEs (transposable elements). Accumulating evidence shows that a germline-specific subclass of small non-coding RNAs, piRNAs (piwi-interacting RNAs), are necessary for silencing TEs to protect the genome in germline cells. To silence TEs post-transcriptionally and/or transcriptionally, mature piRNAs are loaded on to germline-specific Argonaute proteins, or PIWI proteins, to form the piRISC (piRNA-induced silencing complex). The present chapter will highlight insights into the molecular mechanisms underlying piRISC-mediated silencing and piRNA biogenesis, and discuss a possible link with tumorigenesis, particularly in Drosophila.

scholarly journals An Overview of Long Non-Coding (lnc)RNAs in Neuroblastoma

2021 ◽  
Vol 22 (8) ◽  
pp. 4234
Author(s):  
Francesca Baldini ◽  
Matilde Calderoni ◽  
Laura Vergani ◽  
Paola Modesto ◽  
Tullio Florio ◽  
...  
Keyword(s):  
Recent Progress ◽  
Molecular Mechanisms ◽  
Mechanisms Of Action ◽  
Biological Functions ◽  
Therapeutic Approaches ◽  
New Therapeutic Approaches ◽  
Definitive Therapy ◽  
Sporadic Cases ◽  
Non Coding Rnas

Neuroblastoma (NB) is a heterogeneous developmental tumor occurring in childhood, which arises from the embryonic sympathoadrenal cells of the neural crest. Although the recent progress that has been done on this tumor, the mechanisms involved in NB are still partially unknown. Despite some genetic aberrations having been identified, the sporadic cases represent the majority. Due to its wide heterogeneity in clinical behavior and etiology, NB represents a challenge in terms of prevention and treatment. Since a definitive therapy is lacking so far, there is an urgent necessity to unveil the molecular mechanisms behind NB onset and progression to develop new therapeutic approaches. Long non-coding RNAs (lncRNAs) are a group of RNAs longer than 200 nucleotides. Whether lncRNAs are destined to become a protein or not, they exert multiple biological functions such as regulating gene expression and functions. In recent decades, different research has highlighted the possible role of lncRNAs in the pathogenesis of many diseases, including cancer. Moreover, lncRNAs may represent potential markers or targets for diagnosis and treatment of diseases. This mini-review aimed to briefly summarize the most recent findings on the involvement of some lncRNAs in NB disease by focusing on their mechanisms of action and possible role in unveiling NB onset and progression.

scholarly journals ILPMDA: Predicting miRNA–Disease Association Based on Improved Label Propagation

2021 ◽  
Vol 12 ◽  
Author(s):  
Yu-Tian Wang ◽  
Lei Li ◽  
Cun-Mei Ji ◽  
Chun-Hou Zheng ◽  
Jian-Cheng Ni
Keyword(s):  
Disease Association ◽  
Label Propagation ◽  
Human Diseases ◽  
Biological Information ◽  
Disease Similarity ◽  
Kernel Fusion ◽  
Disease Associations ◽  
Non Coding Rnas ◽  
Similarity Networks ◽  
Association Data

MicroRNAs (miRNAs) are small non-coding RNAs that have been demonstrated to be related to numerous complex human diseases. Considerable studies have suggested that miRNAs affect many complicated bioprocesses. Hence, the investigation of disease-related miRNAs by utilizing computational methods is warranted. In this study, we presented an improved label propagation for miRNA–disease association prediction (ILPMDA) method to observe disease-related miRNAs. First, we utilized similarity kernel fusion to integrate different types of biological information for generating miRNA and disease similarity networks. Second, we applied the weighted k-nearest known neighbor algorithm to update verified miRNA–disease association data. Third, we utilized improved label propagation in disease and miRNA similarity networks to make association prediction. Furthermore, we obtained final prediction scores by adopting an average ensemble method to integrate the two kinds of prediction results. To evaluate the prediction performance of ILPMDA, two types of cross-validation methods and case studies on three significant human diseases were implemented to determine the accuracy and effectiveness of ILPMDA. All results demonstrated that ILPMDA had the ability to discover potential miRNA–disease associations.

scholarly journals De novo profiling of long non-coding RNAs involved in MC-LR–induced liver injury in whitefish: discovery and perspectives

2020 ◽  
Author(s):  
Maciej Florczyk ◽  
Paweł Brzuzan ◽  
Maciej Woźny
Keyword(s):  
Liver Injury ◽  
Molecular Mechanisms ◽  
Liver Toxicity ◽  
De Novo ◽  
Sequence Data ◽  
Regulation Of Gene Expression ◽  
Model Organisms ◽  
Coregonus Lavaretus ◽  
Digital Repository ◽  
Non Coding Rnas

Abstract BackgroundMicrocystin-LR (MC-LR) is a potent hepatotoxin for which a substantial gap in knowledge persists regarding the underlying molecular mechanisms of liver toxicity and injury. Although long non-coding RNAs (lncRNAs) have been extensively studied in model organisms, and their roles have been identified in various cellular processes including participation in regulation of gene expression together with microRNAs, our knowledge concerning the role of lncRNAs in liver injury is limited even in mammals. Given that lncRNAs show low levels of sequence conservation, their role becomes even more unclear in non-model organisms without an annotated genome, like whitefish (Coregonus lavaretus). The objective of this study was to discover and profile aberrantly expressed polyadenylated lncRNAs that are involved in MC-LR–induced liver injury in whitefish.ResultsUsing polyA-enriched RNA-Seq data, we de novo assembled a high quality whitefish liver transcriptome. This enabled us to find 94 differentially expressed (DE) putative evolutionary-conserved lncRNAs (orthologous to known lncRNAs in other species), such as MALAT1, HOTTIP, HOTAIR or HULC and 4,429 DE putative novel whitefish lncRNAs, which differed from annotated protein-coding transcripts (PCTs) in terms of minimum free energy, GC base-pair content and length. Additionally, we identified DE non-coding transcripts that might be 3’ autonomous untranslated regions of mRNAs (3’UTRs). We found that, in response to MC-LR treatment, these potential 3’UTRs could either be coexpressed with PCTs from the same mRNA, or the 3’UTRs were upregulated while the corresponding PCTs were downregulated, suggesting 3’UTR-dependent gene regulation.ConclusionsTo our knowledge this is the first report on aberrantly expressed lncRNAs in MC-LR–induced liver injury in whitefish. We found both evolutionary conserved lncRNAs as well as novel whitefish lncRNAs that could serve as biomarkers of severe and chronic liver injury. The lncRNA sequence data files and raw sequence files are available in the Dryad Digital Repository and the NCBI Sequence Read Archive, respectively.

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