2016
DOI: 10.1007/s11427-015-4929-x
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Identification and analysis of mouse non-coding RNA using transcriptome data

Abstract: Transcripts are expressed spatially and temporally and they are very complicated, precise and specific; however, most studies are focused on protein-coding related genes. Recently, massively parallel cDNA sequencing (RNA-seq) has emerged to be a new and promising tool for transcriptome research, and numbers of non-coding RNAs, especially lincRNAs, have been widely identified and well characterized as important regulators of diverse biological processes. In this study, we used ultra-deep RNA-seq data from 15 mo… Show more

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Cited by 9 publications
(6 citation statements)
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“…The expression of mouse lncRNAs has been investigated in several tissues like brain, liver, heart, and testes, and the expression profiles could be retrieved from NONCODE database and the work of Zhao et al [33, 34]. Comparative analysis revealed that a total of 122 lincRNAs (13%), transcribed from 112 potential gene loci, were only found in mouse retinas.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The expression of mouse lncRNAs has been investigated in several tissues like brain, liver, heart, and testes, and the expression profiles could be retrieved from NONCODE database and the work of Zhao et al [33, 34]. Comparative analysis revealed that a total of 122 lincRNAs (13%), transcribed from 112 potential gene loci, were only found in mouse retinas.…”
Section: Resultsmentioning
confidence: 99%
“…The lincRNAs were then picked out by comparing the genomic location to known genes by cuffcompare (Cufflinks package, v2.2.1) [32]. Cuffcompare was also used to compare the locations and structures of lincRNAs identified in this work to previous annotation [21, 33, 34]. Notably, for lncRNAs deposited in NONCODE, their expression in particular tissues were accepted only when the FPKM (Fragments Per Kilobase of transcript per Million fragments mapped) > 0.01.…”
Section: Methodsmentioning
confidence: 99%
“…RNA‐Seq has been used extensively in biological analyses (Fu et al, ; Gershoni & Pietrokovski, ; Moore et al, ; Ren et al, ; Schumacher et al, ; Zhao et al, ). In this study, we used RNA‐Seq to analyse changes in the testes of roosters exposed to different photoperiods at the transcriptional level.…”
Section: Discussionmentioning
confidence: 99%
“…In recent years, RNA sequencing (RNA‐Seq) has been used to study the transcriptional regulation mechanisms in many species, such as human, pig, cow, goat, mouse and rat (Fu et al, ; Gershoni & Pietrokovski, ; Moore, McCabe, Green, Newsom, & Lucy, ; Ren et al, ; Schumacher, Gotze, Kordes, Benes, & Haussinger, ; Zhao et al, ). This approach has identified genes involved in differential regulation.…”
Section: Introductionmentioning
confidence: 99%
“…Dramatic changes in the expression of coding genes, ncRNAs, pseudogenes, and splice isoforms are seen during the transition from pluripotent stem cells to early differentiating neurons and several lncRNAs undergo dramatic expression changes suggesting important roles for ncRNAs in neurogenesis (Hjelm et al 2013;Lin et al 2011). Distinct ncRNA expression signatures are retrieved from different cell types indicating that ncRNA signatures can represent and resolve a particular phenotype (Godoy et al 2018;Isakova et al 2020;Zhao et al 2016). However, cell specific ncRNA signatures are still in their infancy and temporal developmental dependencies of cell-type specific markers derived from single cell and bulk RNA sequencing studies are under-investigated or even missing for ncRNA species other than miRNAs.…”
Section: Introductionmentioning
confidence: 99%