scholarly journals Emerging Roles of Estrogen-Regulated Enhancer and Long Non-Coding RNAs

2020 ◽  
Vol 21 (10) ◽  
pp. 3711
Author(s):  
Melina J. Sedano ◽  
Alana L. Harrison ◽  
Mina Zilaie ◽  
Chandrima Das ◽  
Ramesh Choudhari ◽  
...  
Keyword(s):  
Rna Sequencing ◽  
Expression Patterns ◽  
Biological Significance ◽  
Rna Seq ◽  
Biological Functions ◽  
Protein Coding ◽  
Rna Molecules ◽  
Non Coding Rna ◽  
Genome Wide ◽  
Non Coding Rnas

Genome-wide RNA sequencing has shown that only a small fraction of the human genome is transcribed into protein-coding mRNAs. While once thought to be “junk” DNA, recent findings indicate that the rest of the genome encodes many types of non-coding RNA molecules with a myriad of functions still being determined. Among the non-coding RNAs, long non-coding RNAs (lncRNA) and enhancer RNAs (eRNA) are found to be most copious. While their exact biological functions and mechanisms of action are currently unknown, technologies such as next-generation RNA sequencing (RNA-seq) and global nuclear run-on sequencing (GRO-seq) have begun deciphering their expression patterns and biological significance. In addition to their identification, it has been shown that the expression of long non-coding RNAs and enhancer RNAs can vary due to spatial, temporal, developmental, or hormonal variations. In this review, we explore newly reported information on estrogen-regulated eRNAs and lncRNAs and their associated biological functions to help outline their markedly prominent roles in estrogen-dependent signaling.

scholarly journals Comparative analysis of RNA enrichment methods for preparation of Cryptococcus neoformans RNA sequencing libraries

2021 ◽  
Author(s):  
Calla L. Telzrow ◽  
Paul J. Zwack ◽  
Shannon Esher Righi ◽  
Fred S. Dietrich ◽  
Cliburn Chan ◽  
...  
Keyword(s):  
Cryptococcus Neoformans ◽  
Rna Sequencing ◽  
Rnase H ◽  
Rrna Genes ◽  
Rna Seq ◽  
Protein Coding ◽  
Expression Levels ◽  
Non Coding Rna ◽  
Long Non Coding Rna ◽  
Enrichment Methods

ABSTRACTRibosomal RNA (rRNA) is the major RNA constituent of cells, therefore most RNA sequencing (RNA-Seq) experiments involve removal of rRNA. This process, called RNA enrichment, is done primarily to reduce cost: without rRNA removal, deeper sequencing would need to be performed to balance the sequencing reads wasted on rRNA. The ideal RNA enrichment method would remove all rRNA without affecting other RNA in the sample. We have tested the performance of three RNA enrichment methods on RNA isolated from Cryptococcus neoformans, a fungal pathogen of humans. We show that the RNase H depletion method unambiguously outperforms the commonly used Poly(A) isolation method: the RNase H method more efficiently depletes rRNA while more accurately recapitulating the expression levels of other RNA observed in an unenriched “gold standard”. The RNase H depletion method is also superior to the Ribo-Zero depletion method as measured by rRNA depletion efficiency and recapitulation of protein-coding gene expression levels, while the Ribo-Zero depletion method performs moderately better in preserving non-coding RNA (ncRNA). Finally, we have leveraged this dataset to identify novel long non-coding RNA (lncRNA) genes and to accurately map the C. neoformans mitochondrial rRNA genes.ARTICLE SUMMARYWe compare the efficacy of three different RNA enrichment methods for RNA-Seq in Cryptococcus neoformans: RNase H depletion, Ribo-Zero depletion, and Poly(A) isolation. We show that the RNase H depletion method, which is evaluated in C. neoformans samples for the first time here, is highly efficient and specific in removing rRNA. Additionally, using data generated through these analyses, we identify novel long non-coding RNA genes in C. neoformans. We conclude that RNase H depletion is an effective and reliable method for preparation of C. neoformans RNA-Seq libraries.

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 Comparative analysis of RNA enrichment methods for preparation of Cryptococcus neoformans RNA sequencing libraries

2021 ◽  
Author(s):  
Calla L Telzrow ◽  
Paul J Zwack ◽  
Shannon Esher Righi ◽  
Fred S Dietrich ◽  
Cliburn Chan ◽  
...  
Keyword(s):  
Cryptococcus Neoformans ◽  
Rna Sequencing ◽  
Rnase H ◽  
Rrna Genes ◽  
Rna Seq ◽  
Protein Coding ◽  
Mitochondrial Rrna ◽  
Non Coding Rna ◽  
Rrna Depletion ◽  
Enrichment Methods

Abstract RNA sequencing (RNA-Seq) experiments focused on gene expression involve removal of ribosomal RNA (rRNA) because it is the major RNA constituent of cells. This process, called RNA enrichment, is done primarily to reduce cost: without rRNA removal, deeper sequencing must be performed to compensate for the sequencing reads wasted on rRNA. The ideal RNA enrichment method removes all rRNA without affecting other RNA in the sample. We tested the performance of three RNA enrichment methods on RNA isolated from Cryptococcus neoformans, a fungal pathogen of humans. We find that the RNase H depletion method is more efficient in depleting rRNA and more specific in recapitulating non-rRNA levels present in unenriched controls than the commonly-used Poly(A) isolation method. The RNase H depletion method is also more effective than the Ribo-Zero depletion method as measured by rRNA depletion efficiency and recapitulation of protein-coding RNA levels present in unenriched controls, while the Ribo-Zero depletion method more closely recapitulates annotated non-coding RNA (ncRNA) levels. Finally, we leverage these data to accurately map the C. neoformans mitochondrial rRNA genes, and also demonstrate that RNA-Seq data generated with the RNase H and Ribo-Zero depletion methods can be used to explore novel C. neoformans long non-coding RNA genes.

How to find small non-coding RNAs in bacteria

2005 ◽  
Vol 386 (12) ◽  
pp. 1219-1238 ◽  
Author(s):  
Jörg Vogel ◽  
Cynthia Mira Sharma
Keyword(s):  
Small Rnas ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Critical Role ◽  
Rna Molecules ◽  
Regulatory Circuit ◽  
Non Coding Rna ◽  
Genome Wide ◽  
Response To Stress ◽  
Non Coding Rnas

AbstractSmall non-coding RNAs (sRNAs) have attracted considerable attention as an emerging class of gene expression regulators. In bacteria, a few regulatory RNA molecules have long been known, but the extent of their role in the cell was not fully appreciated until the recent discovery of hundreds of potential sRNA genes in the bacteriumEscherichia coli. Orthologs of theseE. colisRNA genes, as well as unrelated sRNAs, were also found in other bacteria. Here we review the disparate experimental approaches used over the years to identify sRNA molecules and their genes in prokaryotes. These include genome-wide searches based on the biocomputational prediction of non-coding RNA genes, global detection of non-coding transcripts using microarrays, and shotgun cloning of small RNAs (RNomics). Other sRNAs were found by either co-purification with RNA-binding proteins, such as Hfq or CsrA/RsmA, or classical cloning of abundant small RNAs after size fractionation in polyacrylamide gels. In addition, bacterial genetics offers powerful tools that aid in the search for sRNAs that may play a critical role in the regulatory circuit of interest, for example, the response to stress or the adaptation to a change in nutrient availability. Many of the techniques discussed here have also been successfully applied to the discovery of eukaryotic and archaeal sRNAs.

scholarly journals Comparative genomics of muskmelon reveals a potential role for retrotransposons in the modification of gene expression

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Ryoichi Yano ◽  
Tohru Ariizumi ◽  
Satoko Nonaka ◽  
Yoichi Kawazu ◽  
Silin Zhong ◽  
...  
Keyword(s):  
Gene Expression ◽  
Fruit Ripening ◽  
Expression Patterns ◽  
Rna Seq ◽  
Protein Coding ◽  
Genome Wide ◽  
Oxford Nanopore ◽  
Melon Genome ◽  
Number Variation ◽  
Genome Assemblies

AbstractMelon exhibits substantial natural variation especially in fruit ripening physiology, including both climacteric (ethylene-producing) and non-climacteric types. However, genomic mechanisms underlying such variation are not yet fully understood. Here, we report an Oxford Nanopore-based high-grade genome reference in the semi-climacteric cultivar Harukei-3 (378 Mb + 33,829 protein-coding genes), with an update of tissue-wide RNA-seq atlas in the Melonet-DB database. Comparison between Harukei-3 and DHL92, the first published melon genome, enabled identification of 24,758 one-to-one orthologue gene pairs, whereas others were candidates of copy number variation or presence/absence polymorphisms (PAPs). Further comparison based on 10 melon genome assemblies identified genome-wide PAPs of 415 retrotransposon Gag-like sequences. Of these, 160 showed fruit ripening-inducible expression, with 59.4% of the neighboring genes showing similar expression patterns (r > 0.8). Our results suggest that retrotransposons contributed to the modification of gene expression during diversification of melon genomes, and may affect fruit ripening-inducible gene expression.

scholarly journals Non-Coding RNA Databases in Cardiovascular Research

2020 ◽  
Vol 6 (3) ◽  
pp. 35
Author(s):  
Deepak Balamurali ◽  
Monika Stoll
Keyword(s):  
Vascular System ◽  
Cardiovascular Research ◽  
Data Repositories ◽  
Protein Coding ◽  
Rna Molecules ◽  
High Throughput Data ◽  
Non Coding Rna ◽  
Non Coding Rnas ◽  
Generation Sequencing

Cardiovascular diseases (CVDs) are of multifactorial origin and can be attributed to several genetic and environmental components. CVDs are the leading cause of mortality worldwide and they primarily damage the heart and the vascular system. Non-coding RNA (ncRNA) refers to functional RNA molecules, which have been transcribed into DNA but do not further get translated into proteins. Recent transcriptomic studies have identified the presence of thousands of ncRNA molecules across species. In humans, less than 2% of the total genome represents the protein-coding genes. While the role of many ncRNAs is yet to be ascertained, some long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) have been associated with disease progression, serving as useful diagnostic and prognostic biomarkers. A plethora of data repositories specialized in ncRNAs have been developed over the years using publicly available high-throughput data from next-generation sequencing and other approaches, that cover various facets of ncRNA research like basic and functional annotation, expressional profile, structural and molecular changes, and interaction with other biomolecules. Here, we provide a compendium of the current ncRNA databases relevant to cardiovascular research.

scholarly journals Genome-Wide Identification of Long Non-coding RNAs Responsive to Lasiodiplodia theobromae Infection in Grapevine

2019 ◽  
Vol 15 ◽  
pp. 117693431984136 ◽  
Author(s):  
Qikai Xing ◽  
Wei Zhang ◽  
Mei Liu ◽  
Lingxian Li ◽  
Xinghong Li ◽  
...  
Keyword(s):  
Biological Processes ◽  
Rna Seq ◽  
Lasiodiplodia Theobromae ◽  
Rna Molecules ◽  
Grapevine Trunk Diseases ◽  
Genome Wide ◽  
Botryosphaeria Dieback ◽  
Trunk Diseases ◽  
Non Coding Rnas ◽  
Insight Into

Long non-coding RNAs (lncRNAs) refer to a class of RNA molecules that are longer than 200 nucleotides and do not encode proteins. Numerous lncRNAs have recently emerged as important regulators of many biological processes in animals and plants, including responses to environmental stress and pathogens. Botryosphaeria dieback is one of the more severe grapevine trunk diseases worldwide. However, how lncRNAs function during Botryosphaeriaceae infection is largely unknown. We performed high-throughput RNA-sequencing (RNA-seq) of susceptible and more tolerant grapevine cultivars infected with Lasiodiplodia theobromae. Overall, we predicted 1826 novel candidate lncRNAs, including long intergenic non-coding RNAs (lincRNAs) and natural antisense transcripts (lncNATs). The data reveal the functions of a set of lncRNAs that were differentially expressed between the resistant cultivar Merlot and the susceptible cultivar Cabernet Franc. Several lncRNAs were predicted to be precursors for grape microRNAs involved in the L theobromae infection. These results provide new insight into the lncRNAs of grapevine that are involved in the response to L theobromae infection.

scholarly journals Long non-coding RNA transcriptome of uncharacterized samples can be accurately imputed using protein-coding genes

2019 ◽  
Vol 21 (2) ◽  
pp. 637-648 ◽  
Author(s):  
Aritro Nath ◽  
Paul Geeleher ◽  
R Stephanie Huang
Keyword(s):  
Expression Patterns ◽  
Imputation Accuracy ◽  
High Quality ◽  
Protein Coding ◽  
Protein Coding Genes ◽  
Non Coding Rna ◽  
Non Coding Rnas ◽  
Cancer Tissues ◽  
Long Non Coding Rna

Abstract Long non-coding RNAs (lncRNAs) play an important role in gene regulation and are increasingly being recognized as crucial mediators of disease pathogenesis. However, the vast majority of published transcriptome datasets lack high-quality lncRNA profiles compared to protein-coding genes (PCGs). Here we propose a framework to harnesses the correlative expression patterns between lncRNA and PCGs to impute unknown lncRNA profiles. The lncRNA expression imputation (LEXI) framework enables characterization of lncRNA transcriptome of samples lacking any lncRNA data using only their PCG profiles. We compare various machine learning and missing value imputation algorithms to implement LEXI and demonstrate the feasibility of this approach to impute lncRNA transcriptome of normal and cancer tissues. Additionally, we determine the factors that influence imputation accuracy and provide guidelines for implementing this approach.

scholarly journals Non-coding RNAs: New therapeutic targets and opportunities for hepatocellular carcinoma

2016 ◽  
Vol 2 (1) ◽  
pp. 5
Author(s):  
Yu Cuiyun ◽  
Qian Ning ◽  
Zhi-Ping Li ◽  
Wen Huang ◽  
Jia Yu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Open Reading Frame ◽  
Regulation Mechanism ◽  
Biological Processes ◽  
Biological Functions ◽  
Protein Coding ◽  
Reading Frame ◽  
Rna Molecules ◽  
Non Coding Rnas ◽  
Diagnosis Therapy

<p align="left">Non-coding RNAs (ncRNA) are RNA molecules without protein coding functions owing to the lack of an open reading frame (ORF). Based on the length, ncRNAs can be divided into long and short ncRNAs; short ncRNAs include miRNAs and piRNAs. Hepatocellular carcinoma (HCC) is among the most frequent forms of cancer worldwide and its incidence is increasing rapidly. Studies have found that ncRNAs are likely to play a crucial role in a variety of biological processes including the pathogenesis and progression of HCC. In this review, we summarized the regulation mechanism and biological functions of ncRNAs in HCC with respect to its application in HCC diagnosis, therapy and prognosis.</p>

scholarly journals Genome-Wide Identification of lncRNAs During Rice Seed Development

Genes ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 243 ◽  
Author(s):  
Juan Zhao ◽  
Abolore Adijat Ajadi ◽  
Yifeng Wang ◽  
Xiaohong Tong ◽  
Huimei Wang ◽  
...  
Keyword(s):  
Seed Development ◽  
High Reliability ◽  
Expression Patterns ◽  
Reproductive Organ ◽  
Rice Seed ◽  
Biological Functions ◽  
Thousand Grain Weight ◽  
Yield And Quality ◽  
Genome Wide ◽  
Non Coding Rnas

Rice seed is a pivotal reproductive organ that directly determines yield and quality. Long non-coding RNAs (lncRNAs) have been recognized as key regulators in plant development, but the roles of lncRNAs in rice seed development remain unclear. In this study, we performed a paired-end RNA sequencing in samples of rice pistils and seeds at three and seven days after pollination (DAP) respectively. A total of 540 lncRNAs were obtained, among which 482 lncRNAs had significantly different expression patterns during seed development. Results from semi-qPCR conducted on 15 randomly selected differentially expressed lncRNAs suggested high reliability of the transcriptomic data. RNA interference of TCONS_00023703, which is predominantly transcribed in developing seeds, significantly reduced grain length and thousand-grain weight. These results expanded the dataset of lncRNA in rice and enhanced our understanding of the biological functions of lncRNAs in rice seed development

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