scholarly journals Diversity of Antisense and Other Non-Coding RNAs in Archaea Revealed by Comparative Small RNA Sequencing in Four Pyrobaculum Species

2012 ◽  
Vol 3 ◽  
Author(s):  
David L. Bernick ◽  
Patrick P. Dennis ◽  
Lauren M. Lui ◽  
Todd M. Lowe
Keyword(s):  
Rna Sequencing ◽  
Small Rna ◽  
Small Rna Sequencing ◽  
Non Coding Rnas

scholarly journals miRquant 2.0: an Expanded Tool for Accurate Annotation and Quantification of MicroRNAs and their isomiRs from Small RNA-Sequencing Data

2016 ◽  
Vol 13 (5) ◽  
Author(s):  
Matthew Kanke ◽  
Jeanette Baran-Gale ◽  
Jonathan Villanueva ◽  
Praveen Sethupathy
Keyword(s):  
Rna Sequencing ◽  
Small Rna ◽  
Cell Types ◽  
Small Rna Sequencing ◽  
Sequencing Data ◽  
Sequencing Technology ◽  
Additional Information ◽  
Disease States ◽  
Non Coding Rnas ◽  
The Rich

SummarySmall non-coding RNAs, in particular microRNAs, are critical for normal physiology and are candidate biomarkers, regulators, and therapeutic targets for a wide variety of diseases. There is an ever-growing interest in the comprehensive and accurate annotation of microRNAs across diverse cell types, conditions, species, and disease states. Highthroughput sequencing technology has emerged as the method of choice for profiling microRNAs. Specialized bioinformatic strategies are required to mine as much meaningful information as possible from the sequencing data to provide a comprehensive view of the microRNA landscape. Here we present miRquant 2.0, an expanded bioinformatics tool for accurate annotation and quantification of microRNAs and their isoforms (termed isomiRs) from small RNA-sequencing data. We anticipate that miRquant 2.0 will be useful for researchers interested not only in quantifying known microRNAs but also mining the rich well of additional information embedded in small RNA-sequencing data.

scholarly journals CoRAL: predicting non-coding RNAs from small RNA-sequencing data

2013 ◽  
Vol 41 (14) ◽  
pp. e137-e137 ◽  
Author(s):  
Yuk Yee Leung ◽  
Paul Ryvkin ◽  
Lyle H. Ungar ◽  
Brian D. Gregory ◽  
Li-San Wang
Keyword(s):  
Rna Sequencing ◽  
Small Rna ◽  
Small Rna Sequencing ◽  
Sequencing Data ◽  
Non Coding Rnas

scholarly journals Small Non-coding RNAome of ageing chondrocytes

2020 ◽  
Author(s):  
Panagiotis Balaskas ◽  
Jonathan A. Green ◽  
Tariq M. Haqqi ◽  
Philip Dyer ◽  
Yalda A. Kharaz ◽  
...  
Keyword(s):  
Rna Sequencing ◽  
Small Rna ◽  
Differentially Expressed ◽  
Cartilage Tissue ◽  
Small Rna Sequencing ◽  
High Grade ◽  
Human Cartilage ◽  
Fragment Analysis ◽  
Qrt Pcr ◽  
Non Coding Rnas

ABSTRACTBackgroundAgeing is one of the leading risk factors predisposing cartilage to musculoskeletal diseases, including osteoarthritis. Cumulative evidence suggests that small non-coding RNAs play a role in cartilage-related pathological changes. However, little research has been conducted on the effect of ageing on the expression of small non-coding RNAs in cartilage. By using small RNA sequencing, we investigated changes in the expression of small non-coding RNAs between young and old equine chondrocytes.MethodsChondrocytes were extracted from five young (4±1 years) and five old (17.4±1.9 years) macroscopically normal equine metacarpophalangeal joints. Following RNA extraction cDNA libraries were prepared and subjected to small RNA sequencing using the Illumina MiSeq platform. Differential expression analysis was performed in R using package DESeq2. For tRNA fragment analysis, tRNA reads were aligned to horse tRNA sequences using Bowtie2 version 2.2.5. Selected microRNA and small nucleolar RNA findings were validated using qRT-PCR in an extended cohort of equine chondrocytes. tRNA fragments were further investigated in low and high grade OA human cartilage tissue.ResultsIn total, 83 sncRNAs were differentially expressed between young and old equine chondrocytes, including microRNAs, snoRNAs, snRNAs and tRNAs. Of these, 34 were expressed higher and 49 were expressed lower in old chondrocytes compared to young. qRT-PCR analysis confirmed findings in an extended cohort of equine chondrocytes. Ingenuity Pathway Analysis of differentially expressed microRNAs and their predicted target genes linked them to cartilage and OA-related pathways and diseases. tRNA fragment analysis revealed that tiRNA-5035-GluCTC and tiRNA-5031-GluCTC-1 were reduced in both high grade OA human cartilage and old equine chondrocytes.ConclusionFor the first time, we have measured the effect of ageing on the expression of small non-coding RNAs in equine chondrocytes. Changes were detected in a number of different sncRNA species, including microRNAs, small nucleolar RNAs and tRNA fragments. This study supports a role for small non-coding RNAs in ageing cartilage and their potential involvement in age-related cartilage diseases.

Small RNA Sequencing to Discover Circulating MicroRNA Biomarkers of Testicular Toxicity in Dogs

2020 ◽  
pp. 109158182096151
Author(s):  
Jennifer C. Shing ◽  
Kai Schaefer ◽  
Shaun E. Grosskurth ◽  
Andy H. Vo ◽  
Tatiana Sharapova ◽  
...  
Keyword(s):  
Rna Sequencing ◽  
Small Rna ◽  
Exploratory Study ◽  
Quantitative Polymerase Chain Reaction ◽  
Small Rna Sequencing ◽  
Circulating Microrna ◽  
Testicular Toxicity ◽  
Potential Candidate ◽  
Drug Induced ◽  
Organ Systems

Predictive indicators of testicular toxicity could improve drug development by allowing early in-life screening for this adverse effect before it becomes severe. We hypothesized that circulating microRNAs (miRNAs) could serve as testicular toxicity biomarkers in dogs. Herein, we describe the results of an exploratory study conducted to discover biomarkers of drug-induced testicular injury. Following a dose-selection study using the testicular toxicant ethylene glycol monomethyl ether (EGME), we chose a dose of 50 mg/kg/d EGME to avoid systemic toxicity and treated 2 groups of dogs (castrated, non-castrated) for 14 to 28 days. Castrated animals were used as negative controls to identify biomarkers specific for testicular toxicity because EGME can cause toxicity to organ systems in addition to the testis. Blood was collected daily during the dosing period, followed by recovery for 29 to 43 days with less frequent sampling. Dosing was well tolerated, resulting in mild-to-moderate degeneration in testes and epididymides. Global profiling of serum miRNAs at selected dosing and recovery time points was completed by small RNA sequencing. Bioinformatics data analysis using linear modeling demonstrated several circulating miRNAs that were differentially abundant during the dosing period compared with baseline and/or castrated control samples. Confirmatory reverse transcription quantitative polymerase chain reaction data in these animals was unable to detect sustained alterations of miRNAs in serum, except for 1 potential candidate cfa-miR-146b. Taken together, we report the results of a comprehensive exploratory study and suggest future directions for follow-up research to address the challenge of developing diagnostic biomarkers of testicular toxicity.

scholarly journals Small RNA-Sequencing: Approaches and Considerations for miRNA Analysis

Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 964
Author(s):  
Sarka Benesova ◽  
Mikael Kubista ◽  
Lukas Valihrach
Keyword(s):  
Rna Sequencing ◽  
Small Rna ◽  
High Sensitivity ◽  
Small Rna Sequencing ◽  
Rna Seq ◽  
Liquid Biopsies ◽  
Comprehensive Overview ◽  
Rna Molecules ◽  
Novel Mirna ◽  
The Many

MicroRNAs (miRNAs) are a class of small RNA molecules that have an important regulatory role in multiple physiological and pathological processes. Their disease-specific profiles and presence in biofluids are properties that enable miRNAs to be employed as non-invasive biomarkers. In the past decades, several methods have been developed for miRNA analysis, including small RNA sequencing (RNA-seq). Small RNA-seq enables genome-wide profiling and analysis of known, as well as novel, miRNA variants. Moreover, its high sensitivity allows for profiling of low input samples such as liquid biopsies, which have now found applications in diagnostics and prognostics. Still, due to technical bias and the limited ability to capture the true miRNA representation, its potential remains unfulfilled. The introduction of many new small RNA-seq approaches that tried to minimize this bias, has led to the existence of the many small RNA-seq protocols seen today. Here, we review all current approaches to cDNA library construction used during the small RNA-seq workflow, with particular focus on their implementation in commercially available protocols. We provide an overview of each protocol and discuss their applicability. We also review recent benchmarking studies comparing each protocol’s performance and summarize the major conclusions that can be gathered from their usage. The result documents variable performance of the protocols and highlights their different applications in miRNA research. Taken together, our review provides a comprehensive overview of all the current small RNA-seq approaches, summarizes their strengths and weaknesses, and provides guidelines for their applications in miRNA research.

scholarly journals Identification of Zinc Deficiency-Responsive MicroRNAs in Brassica juncea Roots by Small RNA Sequencing

2013 ◽  
Vol 12 (11) ◽  
pp. 2036-2044 ◽  
Author(s):  
Dong-qing SHI ◽  
Yuan ZHANG ◽  
Jin-hu MA ◽  
Yu-long LI ◽  
Jin XU
Keyword(s):  
Rna Sequencing ◽  
Brassica Juncea ◽  
Zinc Deficiency ◽  
Small Rna ◽  
Small Rna Sequencing

Abstract 46: High-Density Lipoproteins Control Monocyte Differentiation Through microRNA Intercellular Communication

2013 ◽  
Vol 33 (suppl_1) ◽  
Author(s):  
Kasey C Vickers ◽  
Michael G Levin ◽  
Michael P Anderson ◽  
Qing Xu ◽  
Joshua Anzinger ◽  
...  
Keyword(s):  
Gene Expression ◽  
Rna Sequencing ◽  
High Throughput ◽  
Small Rna ◽  
Cellular Response ◽  
Culture Media ◽  
Recipient Cell ◽  
Inflammatory Cells ◽  
High Density Lipoproteins ◽  
Small Rna Sequencing

Many HDL-microRNAs (miRNA) are well-characterized post-transcriptional regulators of inflammation, and are significantly increased on HDL with hypercholesterolemia and atherosclerosis in humans and mice. Therefore, we hypothesize that inflammatory cells uniquely control their own gene expression through cellular miRNA export to HDL and then regulate recipient cell gene expression through HDL-mediated miRNA delivery. To test this hypothesis, we used high-throughput proteomics, Open Arrays, small RNA sequencing, and gene expression microarrays. Human monocytes (plasma elutriation) were differentiated into dendritic cells and multiple macrophage phenotypes. Each cell-type was incubated with pure reconstituted HDL (rHDL), which was then purified from culture media by apolipoprotein A-I immunoprecipitation after 24 h, and both cellular and HDL-miRNAs were profiled using TaqMan Open Arrays. Macrophages were found to export high levels of miRNAs to HDL that inhibit monocyte/macrophage differentiation (miR-146a, miR-223); however, monocytes were also found to export many miRNAs associated with differentiation, including miR-92a, miR-222, miR-17, miR-20a, miR106a, and miR-21. Furthermore, many miRNAs were found to be transcribed in inflammatory cells, but completely exported to HDL and not retained in the cell. Most interestingly, HDL treatment was found to induce miR-223 transcription in monocytes, as determined by primary miR-223 transcript levels; however, intracellular levels of the mature form (miR-223) did not change. These results suggest that HDL induces the export of miRNAs it transports. PAR-CLIP with high-throughput small RNA sequencing was used to demonstrate that miRNAs are transferred from macrophages to endothelial cells and loaded onto cellular Argonaute 2-continaining RNA-induced silencing complexes. To demonstrate this in mice, human HDL, containing endogenous levels of miR-223, were injected into miR-223-null mice and inflammation-associated miRNA delivery was mapped in vivo. In summary, we found profound differences in the cellular response to HDL treatment and HDL-miRNA communication amongst inflammatory cell phenotypes that are physiologically relevant to cardiovascular disease.

scholarly journals Small RNA sequencing of sessile serrated polyps identifies microRNA profile associated with colon cancer

2018 ◽  
Vol 58 (1) ◽  
pp. 23-33 ◽  
Author(s):  
Priyanka Kanth ◽  
Mark W. Hazel ◽  
Kenneth M. Boucher ◽  
Zhihong Yang ◽  
Li Wang ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Rna Sequencing ◽  
Small Rna ◽  
Small Rna Sequencing ◽  
Serrated Polyps ◽  
Microrna Profile
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