scholarly journals Full-length annotation with multi-strategy RNA-seq uncovers transcriptional regulation of lncRNAs in diploid cotton G. arboreum1

2020 ◽  
Author(s):  
Xiaomin Zheng ◽  
Yanjun Chen ◽  
Yifan Zhou ◽  
Danyang Li ◽  
Keke Shi ◽  
...  
Keyword(s):  
Transcriptional Regulation ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Full Length ◽  
Rna Seq ◽  
Accurate Identification ◽  
Tissue Samples ◽  
Protein Coding ◽  
Diploid Cotton ◽  
Cap Analysis

AbstractLong noncoding RNAs (lncRNAs) are crucial factors during plant development and environmental responses. High-throughput and accurate identification of lncRNAs is still lacking in plants. To build an accurate atlas of lncRNA in cotton, we combined Isoform-sequencing (Iso-seq), strand-specific RNA-seq (ssRNA-seq), cap analysis gene expression (CAGE-seq) with PolyA-seq and compiled a pipeline named plant full-length lncRNA (PULL) to integrate multi-omics data. A total of 9240 lncRNAs from 21 tissue samples of the diploid cotton Gossypium arboreum were identified. We revealed that alternative usage of transcription start site (TSS) and transcription end site (TES) of lncRNAs occurs pervasively during plant growth and responses to stress. We identified the lncRNAs which co-expressed or be linked to the protein coding genes (PCGs) or GWAS studied SNPs associated with ovule and fiber development. We also mapped the genome-wide binding sites of two lncRNAs with chromatin isolation by RNA purification sequencing (ChIRP-seq) and validated the trans transcriptional regulation of lnc-Ga13g0352 via virus induced gene suppression (VIGS) assay. These findings provide valuable research resources for plant community and broaden our understandings of biogenesis and regulation function of plant lncRNAs.One sentence summaryThe full-length annotation and transcriptional regulation of long noncoding RNAs in cotton.

scholarly journals Chromatin and RNA Maps Reveal Regulatory Long Noncoding RNAs in Mouse

2015 ◽  
Vol 36 (5) ◽  
pp. 809-819 ◽  
Author(s):  
Gireesh K. Bogu ◽  
Pedro Vizán ◽  
Lawrence W. Stanton ◽  
Miguel Beato ◽  
Luciano Di Croce ◽  
...  
Keyword(s):  
Cell Line ◽  
Cell Lines ◽  
De Novo ◽  
Noncoding Rnas ◽  
Mouse Cell ◽  
Long Noncoding Rnas ◽  
Chromatin State ◽  
Rna Seq ◽  
Gene Encoding ◽  
Protein Coding

Discovering and classifying long noncoding RNAs (lncRNAs) across all mammalian tissues and cell lines remains a major challenge. Previously, mouse lncRNAs were identified using transcriptome sequencing (RNA-seq) data from a limited number of tissues or cell lines. Additionally, associating a few hundred lncRNA promoters with chromatin states in a single mouse cell line has identified two classes of chromatin-associated lncRNA. However, the discovery and classification of lncRNAs is still pending in many other tissues in mouse. To address this, we built a comprehensive catalog of lncRNAs by combining known lncRNAs with high-confidence novel lncRNAs identified by mapping andde novoassembling billions of RNA-seq reads from eight tissues and a primary cell line in mouse. Next, we integrated this catalog of lncRNAs with multiple genome-wide chromatin state maps and found two different classes of chromatin state-associated lncRNAs, including promoter-associated (plncRNAs) and enhancer-associated (elncRNAs) lncRNAs, across various tissues. Experimental knockdown of an elncRNA resulted in the downregulation of the neighboring protein-codingKdm8gene, encoding a histone demethylase. Our findings provide 2,803 novel lncRNAs and a comprehensive catalog of chromatin-associated lncRNAs across different tissues in mouse.

scholarly journals When Long Noncoding RNAs Meet Genome Editing in Pluripotent Stem Cells

2017 ◽  
Vol 2017 ◽  
pp. 1-13
Author(s):  
Fuquan Chen ◽  
Jiaojiao Ji ◽  
Jian Shen ◽  
Xinyi Lu
Keyword(s):  
Stem Cells ◽  
Transcriptional Regulation ◽  
Genome Editing ◽  
Pluripotent Stem Cells ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Biological Processes ◽  
Protein Coding ◽  
Protein Coding Genes ◽  
The Past

Most of the human genome can be transcribed into RNAs, but only a minority of these regions produce protein-coding mRNAs whereas the remaining regions are transcribed into noncoding RNAs. Long noncoding RNAs (lncRNAs) were known for their influential regulatory roles in multiple biological processes such as imprinting, dosage compensation, transcriptional regulation, and splicing. The physiological functions of protein-coding genes have been extensively characterized through genome editing in pluripotent stem cells (PSCs) in the past 30 years; however, the study of lncRNAs with genome editing technologies only came into attentions in recent years. Here, we summarize recent advancements in dissecting the roles of lncRNAs with genome editing technologies in PSCs and highlight potential genome editing tools useful for examining the functions of lncRNAs in PSCs.

scholarly journals PLncDB V2.0: a comprehensive encyclopedia of plant long noncoding RNAs

2020 ◽  
Vol 49 (D1) ◽  
pp. D1489-D1495 ◽  
Author(s):  
Jingjing Jin ◽  
Peng Lu ◽  
Yalong Xu ◽  
Zefeng Li ◽  
Shizhou Yu ◽  
...  
Keyword(s):  
Noncoding Rna ◽  
Regulatory Networks ◽  
Expression Patterns ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Data Driven ◽  
Rna Seq ◽  
Protein Coding ◽  
User Friendly ◽  
Coding Potential

Abstract Long noncoding RNAs (lncRNAs) are transcripts longer than 200 nucleotides with little or no protein coding potential. The expanding list of lncRNAs and accumulating evidence of their functions in plants have necessitated the creation of a comprehensive database for lncRNA research. However, currently available plant lncRNA databases have some deficiencies, including the lack of lncRNA data from some model plants, uneven annotation standards, a lack of visualization for expression patterns, and the absence of epigenetic information. To overcome these problems, we upgraded our Plant Long noncoding RNA Database (PLncDB, http://plncdb.tobaccodb.org/), which was based on a uniform annotation pipeline. PLncDB V2.0 currently contains 1 246 372 lncRNAs for 80 plant species based on 13 834 RNA-Seq datasets, integrating lncRNA information from four other resources including EVLncRNAs, RNAcentral and etc. Expression patterns and epigenetic signals can be visualized using multiple tools (JBrowse, eFP Browser and EPexplorer). Targets and regulatory networks for lncRNAs are also provided for function exploration. In addition, PLncDB V2.0 is hierarchical and user-friendly and has five built-in search engines. We believe PLncDB V2.0 is useful for the plant lncRNA community and data mining studies and provides a comprehensive resource for data-driven lncRNA research in plants.

scholarly journals Identification of 170 New Long Noncoding RNAs in Schistosoma mansoni

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Victor F. Oliveira ◽  
Lauro A. G. Moares ◽  
Ester A. Mota ◽  
Liana K. Jannotti-Passos ◽  
Paulo M. Z. Coelho ◽  
...  
Keyword(s):  
Schistosoma Mansoni ◽  
Cancer Progression ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Rna Seq ◽  
Protein Coding ◽  
Functional Studies ◽  
Significant Gene ◽  
Coding Potential ◽  
Human And Mouse

Long noncoding RNAs (lncRNAs) are transcripts generally longer than 200 nucleotides with no or poor protein coding potential, and most of their functions are also poorly characterized. Recently, an increasing number of studies have shown that lncRNAs can be involved in various critical biological processes such as organism development or cancer progression. Little, however, is known about their effects in helminths parasites, such as Schistosoma mansoni. Here, we present a computational pipeline to identify and characterize lncRNAs from RNA-seq data with high confidence from S. mansoni adult worms. Through the utilization of different criteria such as genome localization, exon number, gene length, and stability, we identified 170 new putative lncRNAs. All novel S. mansoni lncRNAs have no conserved synteny including human and mouse. These closest protein coding genes were enriched in 10 significant Gene Ontology terms related to metabolism, transport, and biosynthesis. Fifteen putative lncRNAs showed differential expression, and three displayed sex-specific differential expressions in praziquantel sensitive and resistant adult worm couples. Together, our method can predict a set of novel lncRNAs from the RNA-seq data. Some lncRNAs are shown to be differentially expressed suggesting that those novel lncRNAs can be given high priority in further functional studies focused on praziquantel resistance.

scholarly journals Predicting the Functions of Long Noncoding RNAs Using RNA-Seq Based on Bayesian Network

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Yun Xiao ◽  
Yanling Lv ◽  
Hongying Zhao ◽  
Yonghui Gong ◽  
Jing Hu ◽  
...  
Keyword(s):  
Bayesian Network ◽  
Regulatory Network ◽  
Noncoding Rnas ◽  
Nervous System Development ◽  
Long Noncoding Rnas ◽  
Functional Enrichment ◽  
Biological Processes ◽  
Rna Seq ◽  
Protein Coding ◽  
Protein Coding Genes

Long noncoding RNAs (lncRNAs) have been shown to play key roles in various biological processes. However, functions of most lncRNAs are poorly characterized. Here, we represent a framework to predict functions of lncRNAs through construction of a regulatory network between lncRNAs and protein-coding genes. Using RNA-seq data, the transcript profiles of lncRNAs and protein-coding genes are constructed. Using the Bayesian network method, a regulatory network, which implies dependency relations between lncRNAs and protein-coding genes, was built. In combining protein interaction network, highly connected coding genes linked by a given lncRNA were subsequently used to predict functions of the lncRNA through functional enrichment. Application of our method to prostate RNA-seq data showed that 762 lncRNAs in the constructed regulatory network were assigned functions. We found that lncRNAs are involved in diverse biological processes, such as tissue development or embryo development (e.g., nervous system development and mesoderm development). By comparison with functions inferred using the neighboring gene-based method and functions determined using lncRNA knockdown experiments, our method can provide comparable predicted functions of lncRNAs. Overall, our method can be applied to emerging RNA-seq data, which will help researchers identify complex relations between lncRNAs and coding genes and reveal important functions of lncRNAs.

scholarly journals Identification of the specific long-noncoding RNAs involved in night-break mediated flowering retardation in Chenopodium quinoa

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Qi Wu ◽  
Yiming Luo ◽  
Xiaoyong Wu ◽  
Xue Bai ◽  
Xueling Ye ◽  
...  
Keyword(s):  
Expression Profiles ◽  
Functional Characterization ◽  
Chenopodium Quinoa ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Rna Seq ◽  
Short Day ◽  
Homologous Genes ◽  
The Relationship ◽  
Encoding Genes

Abstract Background Night-break (NB) has been proven to repress flowering of short-day plants (SDPs). Long-noncoding RNAs (lncRNAs) play key roles in plant flowering. However, investigation of the relationship between lncRNAs and NB responses is still limited, especially in Chenopodium quinoa, an important short-day coarse cereal. Results In this study, we performed strand-specific RNA-seq of leaf samples collected from quinoa seedlings treated by SD and NB. A total of 4914 high-confidence lncRNAs were identified, out of which 91 lncRNAs showed specific responses to SD and NB. Based on the expression profiles, we identified 17 positive- and 7 negative-flowering lncRNAs. Co-expression network analysis indicated that 1653 mRNAs were the common targets of both types of flowering lncRNAs. By mapping these targets to the known flowering pathways in model plants, we found some pivotal flowering homologs, including 2 florigen encoding genes (FT (FLOWERING LOCUS T) and TSF (TWIN SISTER of FT) homologs), 3 circadian clock related genes (EARLY FLOWERING 3 (ELF3), LATE ELONGATED HYPOCOTYL (LHY) and ELONGATED HYPOCOTYL 5 (HY5) homologs), 2 photoreceptor genes (PHYTOCHROME A (PHYA) and CRYPTOCHROME1 (CRY1) homologs), 1 B-BOX type CONSTANS (CO) homolog and 1 RELATED TO ABI3/VP1 (RAV1) homolog, were specifically affected by NB and competed by the positive and negative-flowering lncRNAs. We speculated that these potential flowering lncRNAs may mediate quinoa NB responses by modifying the expression of the floral homologous genes. Conclusions Together, the findings in this study will deepen our understanding of the roles of lncRNAs in NB responses, and provide valuable information for functional characterization in future.

Long Noncoding RNAs in Plants

2021 ◽  
Vol 72 (1) ◽  
Author(s):  
Andrzej T. Wierzbicki ◽  
Todd Blevins ◽  
Szymon Swiezewski
Keyword(s):  
Gene Expression ◽  
Nuclear Dna ◽  
Noncoding Rnas ◽  
Chromatin Accessibility ◽  
Long Noncoding Rnas ◽  
Annual Review ◽  
Publication Date ◽  
Protein Coding ◽  
Ribonucleic Acids ◽  
Coding Potential

Plants have an extraordinary diversity of transcription machineries, including five nuclear DNA-dependent RNA polymerases. Four of these enzymes are dedicated to the production of long noncoding RNAs (lncRNAs), which are ribonucleic acids with functions independent of their protein-coding potential. lncRNAs display a broad range of lengths and structures, but they are distinct from the small RNA guides of RNA interference (RNAi) pathways. lncRNAs frequently serve as structural, catalytic, or regulatory molecules for gene expression. They can affect all elements of genes, including promoters, untranslated regions, exons, introns, and terminators, controlling gene expression at various levels, including modifying chromatin accessibility, transcription, splicing, and translation. Certain lncRNAs protect genome integrity, while others respond to environmental cues like temperature, drought, nutrients, and pathogens. In this review, we explain the challenge of defining lncRNAs, introduce the machineries responsible for their production, and organize this knowledge by viewing the functions of lncRNAs throughout the structure of a typical plant gene. Expected final online publication date for the Annual Review of Plant Biology, Volume 72 is May 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

scholarly journals Combined RNA-seq and RAT-seq mapping of long noncoding RNAs in pluripotent reprogramming

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Zhonghua Du ◽  
Lin Jia ◽  
Yichen Wang ◽  
Cong Wang ◽  
Xue Wen ◽  
...  
Keyword(s):  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Rna Seq

scholarly journals The Roles of Long Noncoding RNAs HNF1α-AS1 and HNF4α-AS1 in Drug Metabolism and Human Diseases

2020 ◽  
Vol 6 (2) ◽  
pp. 24 ◽  
Author(s):  
Liming Chen ◽  
Yifan Bao ◽  
Suzhen Jiang ◽  
Xiao-bo Zhong
Keyword(s):  
Drug Metabolism ◽  
Drug Toxicity ◽  
Target Genes ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Future Directions ◽  
Protein Coding ◽  
Mirna Sponge ◽  
Current Review ◽  
And Function

Long noncoding RNAs (lncRNAs) are RNAs with a length of over 200 nucleotides that do not have protein-coding abilities. Recent studies suggest that lncRNAs are highly involved in physiological functions and diseases. lncRNAs HNF1α-AS1 and HNF4α-AS1 are transcripts of lncRNA genes HNF1α-AS1 and HNF4α-AS1, which are antisense lncRNA genes located in the neighborhood regions of the transcription factor (TF) genes HNF1α and HNF4α, respectively. HNF1α-AS1 and HNF4α-AS1 have been reported to be involved in several important functions in human physiological activities and diseases. In the liver, HNF1α-AS1 and HNF4α-AS1 regulate the expression and function of several drug-metabolizing cytochrome P450 (P450) enzymes, which also further impact P450-mediated drug metabolism and drug toxicity. In addition, HNF1α-AS1 and HNF4α-AS1 also play important roles in the tumorigenesis, progression, invasion, and treatment outcome of several cancers. Through interacting with different molecules, including miRNAs and proteins, HNF1α-AS1 and HNF4α-AS1 can regulate their target genes in several different mechanisms including miRNA sponge, decoy, or scaffold. The purpose of the current review is to summarize the identified functions and mechanisms of HNF1α-AS1 and HNF4α-AS1 and to discuss the future directions of research of these two lncRNAs.

scholarly journals The emerging role of microRNAs and long noncoding RNAs in drug resistance of hepatocellular carcinoma

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Ling Wei ◽  
Xingwu Wang ◽  
Liyan Lv ◽  
Jibing Liu ◽  
Huaixin Xing ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Drug Resistance ◽  
Human Cancer ◽  
Noncoding Rnas ◽  
Circular Rna ◽  
Long Noncoding Rnas ◽  
Protein Coding ◽  
Multiple Tumor ◽  
Nucleolar Rnas

Abstract Hepatocellular carcinoma (HCC) is the fifth most common malignancy worldwide and the second most lethal human cancer. A portion of patients with advanced HCC can significantly benefit from treatments with sorafenib, adriamycin, 5-fluorouracil and platinum drugs. However, most HCC patients eventually develop drug resistance, resulting in a poor prognosis. The mechanisms involved in HCC drug resistance are complex and inconclusive. Human transcripts without protein-coding potential are known as noncoding RNAs (ncRNAs), including microRNAs (miRNAs), small nucleolar RNAs (snoRNAs), long noncoding RNAs (lncRNAs) and circular RNA (circRNA). Accumulated evidences demonstrate that several deregulated miRNAs and lncRNAs are important regulators in the development of HCC drug resistance which elucidates their potential clinical implications. In this review, we summarized the detailed mechanisms by which miRNAs and lncRNAs affect HCC drug resistance. Multiple tumor-specific miRNAs and lncRNAs may serve as novel therapeutic targets and prognostic biomarkers for HCC.

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