Sequences of circular RNAs (circRNAs) produced from back-splicing of exon(s) completely overlap with those from cognate linear RNAs transcribed from the same gene loci with the exception of their back-splicing junction (BSJ) sites. Therefore, examination of global circRNA expression from RNA-seq datasets generally relies on the detection of RNA-seq fragments spanning BSJ sites, which is different from the quantification of linear RNA expression by normalized RNA-seq fragments mapped to whole gene bodies. Thus, direct comparison of circular and linear RNA expression from the same gene loci in a genome-wide manner has remained challenging. Here, we update the previously-reported CIRCexplorer pipeline to version 3 for circular and linear RNA expression analysis from ribosomal-RNA depleted RNA-seq (CIRCexplorer3-CLEAR). A new quantitation parameter, fragments per billion mapped bases (FPB), is applied to evaluate circular and linear RNA expression individually by fragments mapped to circRNA-specific BSJ sites or to linear RNA-specific splicing junction (SJ) sites. Comparison of circular and linear RNA expression levels is directly achieved by dividing FPBcirc by FPBlinear to generate a CIRCscore, which indicates the relative circRNA expression level using linear RNA expression level as the background. Highly-expressed circRNAs with low cognate linear RNA expression background can be readily identified by CIRCexplorer3-CLEAR for further investigation. CIRCexplorer3-CLEAR is publically available at https://github.com/YangLab/CLEAR.
除了反向剪接位点,环形RNA与其对应的线形RNA在一级序列上完全重复,因此从转录组测序数据中系统发现环形RNA和线形RNA的策略不同。现有对环形RNA的全转录组检测和定量主要依赖对跨反向剪接位点读序的分析,这与线形RNA定量依赖对覆盖基因外显子和跨外显子读序的分析不一致,导致现有计算方法大多无法直接用来比较环形RNA与其对应线形RNA的表达,这是环形RNA全转录组分析的难点之一。在这项最新的研究中,我们升级开发了环形RNA与其对应线形RNA直接定量比较的分析系统CIRCexplorer3-CLEAR(circular and linear RNA expression analysis from ribosomal-RNA depleted RNA-seq, https://github.com/YangLab/CLEAR),用于开展环形RNA的精准定量研究。CIRCexplorer3-CLEAR使用统一的定量参数FPB(fragments per billion mapped bases),利用跨反向剪接位点和跨正常剪接位点的读序数据分别计算环形RNA (FPBcirc)和线形RNA(FPBlinear)的表达;并进一步通过直接比较环形RNA及其对应线形RNA的FPB值获得CIRCscore(FPBcirc vs FPBlinear),用来表征环形RNA相对于线形RNA的表达水平。相对于原有的FPM,新建立的FPB不受读序长度与测序策略的影响,而CIRCscore值则能进一步去除线形RNA的表达背景,因此基于FPB和CIRCscore的定量分析将有更广的适应性和更高的鲁棒性。利用CIRCexplorer3-CLEAR,研究人员可筛选获得相对于线形RNA高表达的环形RNA,并开展后续环形RNA功能及作用机制等研究。
PDF全文下载地址:
http://gpb.big.ac.cn/articles/download/734
删除或更新信息,请邮件至freekaoyan#163.com(#换成@)
CIRCexplorer3: A CLEAR Pipeline for Direct Comparison of Circular and Linear RNA Expression
本站小编 Free考研考试/2022-01-03
相关话题/gen
shinyChromosome: An R/Shiny Application for Interactive Creation of Non-circular Plots of Whole Geno
Non-circularplotsofwholegenomesarenaturalrepresentationsofgenomicdataalignedalongallchromosomes.Currently,thereisnospecializedgraphicaluserinterface(G ...中科院北京基因组研究所 本站小编 Free考研考试 2022-01-03Gclust: A Parallel Clustering Tool for Microbial Genomic Data
Theacceleratinggrowthofthepublicmicrobialgenomicdataimposessubstantialburdenontheresearchcommunitythatusessuchresources.Buildingdatabasesfornon-redund ...中科院北京基因组研究所 本站小编 Free考研考试 2022-01-03MakeHub: Fully Automated Generation of UCSC Genome Browser Assembly Hubs
Novelgenomesaretodayoftenannotatedbysmallconsortiaorindividualswhosebackgroundisnotfrombioinformatics.Thisaudiencerequirestoolsthatareeasytouse.Suchne ...中科院北京基因组研究所 本站小编 Free考研考试 2022-01-03Mapping Genome Variants Sheds Light on Genetic and Phenotypic Differentiation in Chinese
遗传变异和人类健康和精准医疗息息相关,因此绘制全人类基因组遗传变异图谱成为全球科学家共同奋斗的目标。近年来,国际千人基因组等多个研究小组纷纷致力于发现世界不同种族人群中基因组变异。我国是个多民族国家,拥有大约20%的世界人口和丰富的遗传多样性。但由于缺乏中国南北方人群特异的参考基因组以及深度测序数据 ...中科院北京基因组研究所 本站小编 Free考研考试 2022-01-03Whole Genome Analyses of Chinese Population and De Novo Assembly of A Northern Han Genome
Tounravelthegeneticmechanismsofdiseaseandphysiologicaltraits,itrequirescomprehensivesequencinganalysisoflargesamplesizeinChinesepopulations.Here,werep ...中科院北京基因组研究所 本站小编 Free考研考试 2022-01-03H3K27me3 Signal in the Cis Regulatory Elements Reveals the Differentiation Potential of Progenitors
Drosophilaneuraldevelopmentundergoesextensivechromatinremodelingandpreciseepigeneticregulation.However,therolesofchromatinremodelinginestablishmentand ...中科院北京基因组研究所 本站小编 Free考研考试 2022-01-03C3: Consensus Cancer Driver Gene Caller
Next-generationsequencinghasallowedidentificationofmillionsofsomaticmutationsinhumancancercells.Akeychallengeininterpretingcancergenomesistodistinguis ...中科院北京基因组研究所 本站小编 Free考研考试 2022-01-03gFACs: Gene Filtering, Analysis, and Conversion to Unify Genome Annotations Across Alignment and Gen
Publishedgenomesfrequentlycontainerroneousgenemodelsthatrepresentissuesassociatedwithidentificationofopenreadingframes,startsites,splicesites,andrelat ...中科院北京基因组研究所 本站小编 Free考研考试 2022-01-03m6A Regulates Neurogenesis and Neuronal Development by Modulating Histone Methyltransferase Ezh2
N6-methyladenosine(m6A),catalyzedbythemethyltransferasecomplexconsistingofMettl3andMettl14,isthemostabundantRNAmodificationinmRNAsandparticipatesindiv ...中科院北京基因组研究所 本站小编 Free考研考试 2022-01-03Integrating Culture-based Antibiotic Resistance Profiles with Whole-genome Sequencing Data for 11,08
Emergingantibioticresistanceisamajorglobalhealththreat.Theanalysisofnucleicacidsequenceslinkedtosusceptibilityphenotypesfacilitatesthestudyofgenetican ...中科院北京基因组研究所 本站小编 Free考研考试 2022-01-03