Search results for "epitranscriptome"

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Non-Redundant tRNA Reference Sequences for Deep Sequencing Analysis of tRNA Abundance and Epitranscriptomic RNA Modifications

2021

Analysis of RNA by deep-sequencing approaches has found widespread application in modern biology. In addition to measurements of RNA abundance under various physiological conditions, such techniques are now widely used for mapping and quantification of RNA modifications. Transfer RNA (tRNA) molecules are among the frequent targets of such investigation, since they contain multiple modified residues. However, the major challenge in tRNA examination is related to a large number of duplicated and point-mutated genes encoding those RNA molecules. Moreover, the existence of multiple isoacceptors/isodecoders complicates both the analysis and read mapping. Existing databases for tRNA sequencing pr…

0301 basic medicinelcsh:QH426-470ved/biology.organism_classification_rank.speciesComputational biologyBiology01 natural sciencesArticleDeep sequencingdeep sequencing03 medical and health sciencesRNA modificationsRNA Transferepitranscriptome[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Escherichia coliGeneticsModel organismtRNAGeneComputingMilieux_MISCELLANEOUSGenetics (clinical)Sequence Analysis RNA010405 organic chemistryved/biologyreference sequenceHigh-Throughput Nucleotide SequencingRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyquantification0104 chemical scienceslcsh:GeneticsRNA Bacterial030104 developmental biologyTransfer RNADatabases Nucleic AcidtRNA poolBacillus subtilisReference genomeGenes
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Methods for RNA Modification Mapping Using Deep Sequencing: Established and New Emerging Technologies

2019

New analytics of post-transcriptional RNA modifications have paved the way for a tremendous upswing of the biological and biomedical research in this field. This especially applies to methods that included RNA-Seq techniques, and which typically result in what is termed global scale modification mapping. In this process, positions inside a cell`s transcriptome are receiving a status of potential modification sites (so called modification calling), typically based on a score of some kind that issues from the particular method applied. The resulting data are thought to represent information that goes beyond what is contained in typical transcriptome data, and hence the field has taken to use …

0301 basic medicinelcsh:QH426-470Computer scienceProcess (engineering)Emerging technologieschemical treatmentNext Generation Sequencingengineered Reverse Transcriptase enzymesRNA-SeqReviewcomputer.software_genreDeep sequencingField (computer science)deep sequencing03 medical and health sciences0302 clinical medicineepitranscriptome[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]GeneticsAnimalsHumansRNA-SeqRNA Processing Post-TranscriptionalComputingMilieux_MISCELLANEOUSGenetics (clinical)Sequence Analysis RNAbusiness.industryScale (chemistry)High-Throughput Nucleotide Sequencing[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyRNA modificationTerm (time)lcsh:Genetics030104 developmental biologyAnalyticsRNAData miningbusinesscomputer030217 neurology & neurosurgeryGenes
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