scholarly journals Finding differentially expressed sRNA-Seq regions with srnadiff

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256196
Author(s):  
Matthias Zytnicki ◽  
Ignacio González
Keyword(s):  
Gene Regulation ◽  
Small Rna ◽  
Small Rnas ◽  
Differentially Expressed ◽  
External Information ◽  
Small Rna Sequencing ◽  
Small Interfering Rnas ◽  
Genomic Annotation ◽  
Wide Range ◽  
Precursor Rna

Small RNAs (sRNAs) encompass a great variety of molecules of different kinds, such as microRNAs, small interfering RNAs, Piwi-associated RNA, among others. These sRNAs have a wide range of activities, which include gene regulation, protection against virus, transposable element silencing, and have been identified as a key actor in determining the development of the cell. Small RNA sequencing is thus routinely used to assess the expression of the diversity of sRNAs, usually in the context of differentially expression, where two conditions are compared. Tools that detect differentially expressed microRNAs are numerous, because microRNAs are well documented, and the associated genes are well defined. However, tools are lacking to detect other types of sRNAs, which are less studied, and whose precursor RNA is not well characterized. We present here a new method, called srnadiff, which finds all kinds of differentially expressed sRNAs. To the extent of our knowledge, srnadiff is the first tool that detects differentially expressed sRNAs without the use of external information, such as genomic annotation or additional sequences of sRNAs.

scholarly journals Finding differentially expressed sRNA-Seq regions with srnadiff

2019 ◽  
Author(s):  
Matthias Zytnicki ◽  
Ignacio González
Keyword(s):  
Small Rnas ◽  
New Method ◽  
Differentially Expressed ◽  
Reference Sequence ◽  
External Information ◽  
Small Rna Sequencing ◽  
Small Interfering Rnas ◽  
Genomic Annotation ◽  
Micro Rnas ◽  
Wide Range

AbstractSmall RNAs (sRNAs) encompass a great variety of different molecules of different kinds, such as micro RNAs, small interfering RNAs, Piwi-associated RNA, among other. These sRNA have a wide range of activities, which include gene regulation, protection against virus, transposable element silencing, and have been identified as a key actor to study and understand the development of the cell. Small RNA sequencing is thus routinely used to assess the expression of the diversity of sRNAs, usually in the context of differentially expression, where two conditions are compared. Many tools have been presented to detect differentially expressed micro RNAs, because they are well documented, and the associated genes are well defined. However, tools are lacking to detect other types of sRNAs, which are less studied, and have an imprecise “gene” structure. We present here a new method, called srnadiff, to find all kinds of differentially expressed sRNAs. To the extent of our knowledge, srnadiff is the first tool that detects differentially expressed sRNAs without the use of external information, such as genomic annotation or reference sequence of sRNAs.Author summaryWe present here a new method for the ab initio discovery of differentially expressed small RNAs. The standard method, sometimes named annotate-then-identify, first finds possible genes, and tests for differential expression. In contrast, our method skips the first step and scans the genome for potential differentially expressed regions (the identify-then-annotate strategy). Since our method is the first one to use the identify-then-annotate strategy on sRNAs, we compared our method against a similar method, developed for long RNAs (derfinder), and to the annotate-then-identify strategy, where the sRNAs have been identified beforehand using a segmentation tool, on three published datasets, and a simulated one. Results show that srnadiff gives much better results than derfinder, and is also better than the annotate-then-identify strategy on many aspects. srnadiff is available as a Bioconductor package, together with a detailed manual: https://bioconductor.org/packages/release/bioc/html/srnadiff.html

scholarly journals Small RNAs in parasitic nematodes – forms and functions

Parasitology ◽  
2019 ◽  
Vol 147 (8) ◽  
pp. 855-864
Author(s):  
Collette Britton ◽  
Roz Laing ◽  
Eileen Devaney
Keyword(s):  
Gene Expression ◽  
Small Rna ◽  
Small Rnas ◽  
Target Genes ◽  
Parasitic Nematodes ◽  
Small Rna Sequencing ◽  
Small Interfering Rnas ◽  
Rna Sequences ◽  
C Elegans

AbstractSmall RNAs are important regulators of gene expression. They were first identified in Caenorhabditis elegans, but it is now apparent that the main small RNA silencing pathways are functionally conserved across diverse organisms. Availability of genome data for an increasing number of parasitic nematodes has enabled bioinformatic identification of small RNA sequences. Expression of these in different lifecycle stages is revealed by small RNA sequencing and microarray analysis. In this review we describe what is known of the three main small RNA classes in parasitic nematodes – microRNAs (miRNAs), Piwi-interacting RNAs (piRNAs) and small interfering RNAs (siRNAs) – and their proposed functions. miRNAs regulate development in C. elegans and the temporal expression of parasitic nematode miRNAs suggest modulation of target gene levels as parasites develop within the host. miRNAs are also present in extracellular vesicles released by nematodes in vitro, and in plasma from infected hosts, suggesting potential regulation of host gene expression. Roles of piRNAs and siRNAs in suppressing target genes, including transposable elements, are also reviewed. Recent successes in RNAi-mediated gene silencing, and application of small RNA inhibitors and mimics will continue to advance understanding of small RNA functions within the parasite and at the host–parasite interface.

scholarly journals Oxidative Medicine and Cellular Longevity Changes in the Small RNA Expression in Endothelial Cells in Response to Inflammatory Stimulation

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Peixi Liu ◽  
Liuxun Hu ◽  
Yuan Shi ◽  
Yingjun Liu ◽  
Guo Yu ◽  
...  
Keyword(s):  
Endothelial Cells ◽  
Small Rna ◽  
Small Rnas ◽  
Cerebrovascular Diseases ◽  
Differentially Expressed ◽  
Small Rna Sequencing ◽  
Rna Expression ◽  
Tissue Specific ◽  
Qrt Pcr ◽  
Tnf Α

Objective. Endothelial cell inflammation is a common pathophysiological process in many cardiovascular and cerebrovascular diseases. Small RNA is a kind of short nonprotein coding RNA molecule. Changes in the small RNA expression in endothelial cells have been linked to the development of cardiovascular and cerebrovascular diseases. We investigated and verified differentially expressed small RNAs in endothelial cells in response to inflammatory stimulation. Methods. Primary rat endothelial cells were obtained from Sprague-Dawley rats and treated with 10 ng/ml TNF-α for 24 hours. Small RNA sequencing was used to generate extensive small RNA data. Significantly differentially expressed small RNAs identified in the analysis were further confirmed by quantitative reverse transcription polymerase chain reaction (qRT-PCR). Then, we investigated the tissue-specific small RNA expression after RNA extraction from different tissues. Results. Small RNA sequencing demonstrated that 17 miRNAs, 1 piRNA, 10 snoRNAs, and 7 snRNAs were significantly differentially expressed. qRT-PCR identified 3 miRNAs, 2 snoRNAs, and 2 snRNAs with significantly different expression. Analysis of the tissue-specific expression showed that rno-miR-126a-5p was predominantly expressed in the lung, rno-miR-146a-5p in the intestines, and rno-novel-178 in the heart. Rno-piR-017330 was mainly expressed in the muscle. snoR-8966.1 was predominantly expressed in the bone. snoR-6253.1 was mostly expressed in the vessels and bone. snR-29469.1 was mainly expressed in the bone, and snR-85806.1 was predominantly expressed in the vessels and bone. Conclusions. We report for the first time the expression of small RNAs in endothelial cells under inflammatory conditions. TNF-α can regulate the expression of small RNAs in endothelial cells, and their expression is tissue-specific.

scholarly journals RppH can faithfully replace TAP to allow cloning of 5’-triphosphate carrying small RNAs

2018 ◽  
Author(s):  
Miguel Vasconcelos Almeida ◽  
António Miguel de Jesus Domingues ◽  
Hanna Lukas ◽  
Maria Mendez-Lago ◽  
René F. Ketting
Keyword(s):  
Small Rna ◽  
Small Rnas ◽  
Small Rna Sequencing ◽  
Cloning Efficiency ◽  
Library Preparation ◽  
Small Interfering Rnas ◽  
Rdrp Activity ◽  
C Elegans ◽  
Rna Pathways ◽  
Small Rna Species

AbstractRNA interference was first described in the nematode Caenorhabditis elegans. Ever since, several new endogenous small RNA pathways have been described and characterized to different degrees. Much like plants, but unlike Drosophila and mammals, worms have RNA-dependent RNA Polymerases (RdRPs) that directly synthesize small RNAs using other transcripts as a template. The very prominent secondary small interfering RNAs, also called 22G-RNAs, produced by the RdRPs RRF-1 and EGO-1 in C. elegans, maintain the 5’ triphosphate group, stemming from RdRP activity, also after loading into an Argonaute protein. This creates a technical issue, since 5’PPP groups decrease cloning efficiency for small RNA sequencing. To increase cloning efficiency of these small RNA species, a common practice in the field is the treatment of RNA samples, prior to library preparation, with Tobacco Acid pyrophosphatase (TAP). Recently, TAP production and supply was discontinued, so an alternative must be devised. We turned to RNA 5’ pyrophosphohydrolase (RppH), a commercially available pyrophosphatase isolated from E. coli. Here we directly compare TAP and RppH in their use for small RNA library preparation. We show that RppH-treated samples faithfully recapitulate TAP-treated samples. Specifically, there is enrichment for 22G-RNAs and mapped small RNA reads show no small RNA transcriptome-wide differences between RppH and TAP treatment. We propose that RppH can be used as a small RNA pyrophosphatase to enrich for triphosphorylated small RNA species and show that RppH- and TAP-derived datasets can be used in direct comparison.

Small RNAs in Plant Immunity and Virulence of Filamentous Pathogens

2021 ◽  
Vol 59 (1) ◽  
Author(s):  
Yongli Qiao ◽  
Rui Xia ◽  
Jixian Zhai ◽  
Yingnan Hou ◽  
Li Feng ◽  
...  
Keyword(s):  
Gene Silencing ◽  
Small Rna ◽  
Small Rnas ◽  
Plant Immunity ◽  
Receptor Gene ◽  
Current Status ◽  
Annual Review ◽  
Publication Date ◽  
Small Interfering Rnas ◽  
Host Pathogen

Gene silencing guided by small RNAs governs a broad range of cellular processes in eukaryotes. Small RNAs are important components of plant immunity because they contribute to pathogen-triggered transcription reprogramming and directly target pathogen RNAs. Recent research suggests that silencing of pathogen genes by plant small RNAs occurs not only during viral infection but also in nonviral pathogens through a process termed host-induced gene silencing, which involves trans-species small RNA trafficking. Similarly, small RNAs are also produced by eukaryotic pathogens and regulate virulence. This review summarizes the small RNA pathways in both plants and filamentous pathogens, including fungi and oomycetes, and discusses their role in host–pathogen interactions. We highlight secondary small interfering RNAs of plants as regulators of immune receptor gene expression and executors of host-induced gene silencing in invading pathogens. The current status and prospects of small RNAs trafficking at the host–pathogen interface are discussed. Expected final online publication date for the Annual Review of Phytopathology, Volume 59 is August 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

scholarly journals Altered Fecal Small RNA Profiles in Colorectal Cancer Reflect Gut Microbiome Composition in Stool Samples

mSystems ◽  
2019 ◽  
Vol 4 (5) ◽  
Author(s):  
Sonia Tarallo ◽  
Giulio Ferrero ◽  
Gaetano Gallo ◽  
Antonio Francavilla ◽  
Giuseppe Clerico ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Gut Microbiota ◽  
Small Rna ◽  
Gut Microbiome ◽  
Small Rnas ◽  
Area Under The Curve ◽  
Small Rna Sequencing ◽  
Predictive Tool ◽  
Cross Sectional ◽  
Stool Samples

ABSTRACT Dysbiotic configurations of the human gut microbiota have been linked to colorectal cancer (CRC). Human small noncoding RNAs are also implicated in CRC, and recent findings suggest that their release in the gut lumen contributes to shape the gut microbiota. Bacterial small RNAs (bsRNAs) may also play a role in carcinogenesis, but their role has been less extensively explored. Here, we performed small RNA and shotgun sequencing on 80 stool specimens from patients with CRC or with adenomas and from healthy subjects collected in a cross-sectional study to evaluate their combined use as a predictive tool for disease detection. We observed considerable overlap and a correlation between metagenomic and bsRNA quantitative taxonomic profiles obtained from the two approaches. We identified a combined predictive signature composed of 32 features from human and microbial small RNAs and DNA-based microbiome able to accurately classify CRC samples separately from healthy and adenoma samples (area under the curve [AUC] = 0.87). In the present study, we report evidence that host-microbiome dysbiosis in CRC can also be observed by examination of altered small RNA stool profiles. Integrated analyses of the microbiome and small RNAs in the human stool may provide insights for designing more-accurate tools for diagnostic purposes. IMPORTANCE The characteristics of microbial small RNA transcription are largely unknown, while it is of primary importance for a better identification of molecules with functional activities in the gut niche under both healthy and disease conditions. By performing combined analyses of metagenomic and small RNA sequencing (sRNA-Seq) data, we characterized both the human and microbial small RNA contents of stool samples from healthy individuals and from patients with colorectal carcinoma or adenoma. With the integrative analyses of metagenomic and sRNA-Seq data, we identified a human and microbial small RNA signature which can be used to improve diagnosis of the disease. Our analysis of human and gut microbiome small RNA expression is relevant to generation of the first hypotheses about the potential molecular interactions occurring in the gut of CRC patients, and it can be the basis for further mechanistic studies and clinical tests.

scholarly journals Small RNA sequencing evaluation of renal microRNA biomarkers in dogs with X-linked hereditary nephropathy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Candice P. Chu ◽  
Shiguang Liu ◽  
Wenping Song ◽  
Ethan Y. Xu ◽  
Mary B. Nabity
Keyword(s):  
Small Rna ◽  
Target Genes ◽  
Differentially Expressed ◽  
Small Rna Sequencing ◽  
Rna Seq ◽  
Ckd Progression ◽  
Critical Pathways ◽  
Qrt Pcr ◽  
Hereditary Nephropathy ◽  
Differentially Expressed Mirnas

AbstractDogs with X-linked hereditary nephropathy (XLHN) are an animal model for Alport syndrome in humans and progressive chronic kidney disease (CKD). Using mRNA sequencing (mRNA-seq), we have characterized the gene expression profile affecting the progression of XLHN; however, the microRNA (miRNA, miR) expression remains unknown. With small RNA-seq and quantitative RT-PCR (qRT-PCR), we used 3 small RNA-seq analysis tools (QIAGEN OmicSoft Studio, miRDeep2, and CPSS 2.0) to profile differentially expressed renal miRNAs, top-ranked miRNA target genes, and enriched biological processes and pathways in CKD progression. Twenty-three kidney biopsies were collected from 5 dogs with XLHN and 4 age-matched, unaffected littermates at 3 clinical time points (T1: onset of proteinuria, T2: onset of azotemia, and T3: advanced azotemia). We identified up to 23 differentially expressed miRNAs at each clinical time point. Five miRNAs (miR-21, miR-146b, miR-802, miR-142, miR-147) were consistently upregulated in affected dogs. We identified miR-186 and miR-26b as effective reference miRNAs for qRT-PCR. This study applied small RNA-seq to identify differentially expressed miRNAs that might regulate critical pathways contributing to CKD progression in dogs with XLHN.

scholarly journals Small RNA Sequencing Uncovers New miRNAs and moRNAs Differentially Expressed in Normal and Primary Myelofibrosis CD34+ Cells

PLoS ONE ◽  
2015 ◽  
Vol 10 (10) ◽  
pp. e0140445 ◽  
Author(s):  
Paola Guglielmelli ◽  
Andrea Bisognin ◽  
Claudia Saccoman ◽  
Carmela Mannarelli ◽  
Alessandro Coppe ◽  
...  
Keyword(s):  
Rna Sequencing ◽  
Small Rna ◽  
Primary Myelofibrosis ◽  
Differentially Expressed ◽  
Small Rna Sequencing ◽  
Cd34 Cells

scholarly journals Small RNA Sequencing Reveals Differentially Expressed miRNAs in Necrotizing Enterocolitis in Rats

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Ren-qiang Yu ◽  
Min Wang ◽  
Shan-yu Jiang ◽  
Ying-hui Zhang ◽  
Xiao-yu Zhou ◽  
...  
Keyword(s):  
Wnt Signaling ◽  
Signaling Pathway ◽  
Rna Sequencing ◽  
Necrotizing Enterocolitis ◽  
Small Rna ◽  
Mirna Expression ◽  
Expression Patterns ◽  
Wnt Signaling Pathway ◽  
Differentially Expressed ◽  
Small Rna Sequencing

Necrotizing enterocolitis (NEC) is the leading cause of death due to gastrointestinal disease in preterm infants. The role of miRNAs in NEC is still unknown. The objective of this study was to identify differentially expressed (DE) miRNAs in rats with NEC and analyze their possible roles. In this study, a NEC rat model was established using Sprague-Dawley rat pups. Small RNA sequencing was used to analyze the miRNA expression profiles in the NEC and control rats. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were carried out to identify target mRNAs for the DE miRNAs and to explore their potential roles. The DE miRNAs were verified by real-time quantitative PCR (RT-qPCR). The status of intestinal injury and the elevated levels of inflammatory cytokines in the NEC group confirmed that the NEC model was successfully established. The 16 miRNAs were found to be differentially expressed between the NEC group and the control group of rats. Bioinformatics analysis indicated that the parental genes of the DE miRNAs were predominantly implicated in the phosphorylation, cell migration, and protein phosphorylation processes. Moreover, the DE miRNAs were mainly found to be involved in the pathways of axon guidance, endocytosis, and focal adhesion, as well as in the Wnt signaling pathway, which is related to colitis. The expression patterns of the candidate miRNAs (rno-miR-27a-5p and rno-miR-187-3p), as assessed by RT-qPCR, were in accordance with the expression patterns obtained by miRNA-sequencing. The miRNA/mRNA/pathway network revealed that rno-miR-27a-5p and rno-miR-187-3p might be involved in NEC via the Wnt signaling pathway. We found an altered miRNA expression pattern in rats with NEC. We hypothesize that rno-miR-27a-5p and rno-miR-187-3p might mediate the NEC pathophysiological processes via the Wnt signaling pathway.

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