Identification of human short introns

Canonical pre-mRNA splicing requires snRNPs and associated splicing factors to excise conserved intronic sequences, with a minimum intron length required for efficient splicing. Non-canonical splicing-intron excision without the spliceosome-has been documented; most notably, some tRNAs and the XBP1...

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Published inPloS one Vol. 12; no. 5; p. e0175393
Main Authors Abebrese, Emmanuel L., Ali, Syed H., Arnold, Zachary R., Andrews, Victoria M., Armstrong, Katharine, Burns, Lindsay, Crowder, Hannah R., Day, R. Thomas, Hsu, Daniel G., Jarrell, Katherine, Lee, Grace, Luo, Yi, Mugayo, Daphine, Raza, Zain, Friend, Kyle
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 17.05.2017
Public Library of Science (PLoS)
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ISSN1932-6203
1932-6203
DOI10.1371/journal.pone.0175393

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Abstract Canonical pre-mRNA splicing requires snRNPs and associated splicing factors to excise conserved intronic sequences, with a minimum intron length required for efficient splicing. Non-canonical splicing-intron excision without the spliceosome-has been documented; most notably, some tRNAs and the XBP1 mRNA contain short introns that are not removed by the spliceosome. There have been some efforts to identify additional short introns, but little is known about how many short introns are processed from mRNAs. Here, we report an approach to identify RNA short introns from RNA-Seq data, discriminating against small genomic deletions. We identify hundreds of short introns conserved among multiple human cell lines. These short introns are often alternatively spliced and are found in a variety of RNAs-both mRNAs and lncRNAs. Short intron splicing efficiency is increased by secondary structure, and we detect both canonical and non-canonical short introns. In many cases, splicing of these short introns from mRNAs is predicted to alter the reading frame and change protein output. Our findings imply that standard gene prediction models which often assume a lower limit for intron size fail to predict short introns effectively. We conclude that short introns are abundant in the human transcriptome, and short intron splicing represents an added layer to mRNA regulation.
AbstractList Canonical pre-mRNA splicing requires snRNPs and associated splicing factors to excise conserved intronic sequences, with a minimum intron length required for efficient splicing. Non-canonical splicing-intron excision without the spliceosome-has been documented; most notably, some tRNAs and the XBP1 mRNA contain short introns that are not removed by the spliceosome. There have been some efforts to identify additional short introns, but little is known about how many short introns are processed from mRNAs. Here, we report an approach to identify RNA short introns from RNA-Seq data, discriminating against small genomic deletions. We identify hundreds of short introns conserved among multiple human cell lines. These short introns are often alternatively spliced and are found in a variety of RNAs-both mRNAs and lncRNAs. Short intron splicing efficiency is increased by secondary structure, and we detect both canonical and non-canonical short introns. In many cases, splicing of these short introns from mRNAs is predicted to alter the reading frame and change protein output. Our findings imply that standard gene prediction models which often assume a lower limit for intron size fail to predict short introns effectively. We conclude that short introns are abundant in the human transcriptome, and short intron splicing represents an added layer to mRNA regulation.
Canonical pre-mRNA splicing requires snRNPs and associated splicing factors to excise conserved intronic sequences, with a minimum intron length required for efficient splicing. Non-canonical splicing-intron excision without the spliceosome-has been documented; most notably, some tRNAs and the XBP1 mRNA contain short introns that are not removed by the spliceosome. There have been some efforts to identify additional short introns, but little is known about how many short introns are processed from mRNAs. Here, we report an approach to identify RNA short introns from RNA-Seq data, discriminating against small genomic deletions. We identify hundreds of short introns conserved among multiple human cell lines. These short introns are often alternatively spliced and are found in a variety of RNAs-both mRNAs and lncRNAs. Short intron splicing efficiency is increased by secondary structure, and we detect both canonical and non-canonical short introns. In many cases, splicing of these short introns from mRNAs is predicted to alter the reading frame and change protein output. Our findings imply that standard gene prediction models which often assume a lower limit for intron size fail to predict short introns effectively. We conclude that short introns are abundant in the human transcriptome, and short intron splicing represents an added layer to mRNA regulation.Canonical pre-mRNA splicing requires snRNPs and associated splicing factors to excise conserved intronic sequences, with a minimum intron length required for efficient splicing. Non-canonical splicing-intron excision without the spliceosome-has been documented; most notably, some tRNAs and the XBP1 mRNA contain short introns that are not removed by the spliceosome. There have been some efforts to identify additional short introns, but little is known about how many short introns are processed from mRNAs. Here, we report an approach to identify RNA short introns from RNA-Seq data, discriminating against small genomic deletions. We identify hundreds of short introns conserved among multiple human cell lines. These short introns are often alternatively spliced and are found in a variety of RNAs-both mRNAs and lncRNAs. Short intron splicing efficiency is increased by secondary structure, and we detect both canonical and non-canonical short introns. In many cases, splicing of these short introns from mRNAs is predicted to alter the reading frame and change protein output. Our findings imply that standard gene prediction models which often assume a lower limit for intron size fail to predict short introns effectively. We conclude that short introns are abundant in the human transcriptome, and short intron splicing represents an added layer to mRNA regulation.
Audience Academic
Author Arnold, Zachary R.
Day, R. Thomas
Abebrese, Emmanuel L.
Armstrong, Katharine
Hsu, Daniel G.
Friend, Kyle
Andrews, Victoria M.
Jarrell, Katherine
Ali, Syed H.
Raza, Zain
Lee, Grace
Crowder, Hannah R.
Burns, Lindsay
Mugayo, Daphine
Luo, Yi
AuthorAffiliation International Centre for Genetic Engineering and Biotechnology, ITALY
Department of Chemistry and Biochemistry, Washington and Lee University, Lexington, Virginia, United States of America
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/28520720$$D View this record in MEDLINE/PubMed
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2017 Abebrese et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
2017 Abebrese et al 2017 Abebrese et al
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– notice: 2017 Abebrese et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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Competing Interests: The authors have declared that no competing interests exist.
Conceptualization: ELA SHA VMA KA ZRA LB HRC RTD DGH KJ GL YL DM ZR KF.Data curation: ELA SHA VMA KA ZRA LB HRC RTD DGH KJ GL YL DM ZR KF.Formal analysis: ELA SHA VMA KA ZRA LB HRC RTD DGH KJ GL YL DM ZR KF.Funding acquisition: KF.Investigation: KF.Methodology: ELA SHA VMA KA ZRA LB HRC RTD DGH KJ GL YL DM ZR KF.Project administration: KF.Resources: KF.Software: KF.Supervision: KF.Validation: ELA SHA VMA KA ZRA LB HRC RTD DGH KJ GL YL DM ZR KF.Visualization: KF.Writing – original draft: ELA SHA VMA KA ZRA LB HRC RTD DGH KJ GL YL DM ZR KF.Writing – review & editing: ELA SHA VMA KA ZRA LB HRC RTD DGH KJ GL YL DM ZR KF.
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SSID ssj0053866
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Snippet Canonical pre-mRNA splicing requires snRNPs and associated splicing factors to excise conserved intronic sequences, with a minimum intron length required for...
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SubjectTerms Activating transcription factor 1
Algorithms
Alignment
Alternative splicing
Biochemistry
Biology and Life Sciences
Burns
Cell culture
Cell fate
Cell Line
Chemistry
Chromatin
Circular RNA
Circularity
Coding
Conserved sequence
Contamination
Cyclic AMP response element-binding protein
Cytoplasm
Decay
Deoxyribonucleic acid
DNA
Endonuclease
Enzymes
Exons
Gene sequencing
Genes
Genetic regulation
Genetic research
Genome, Human
Genomes
Gold
Homology
Humans
Introns
Iron
Mammals
Messenger RNA
Nuclei
Nucleic acids
Nucleotides
Open Reading Frames
Phosphates
Position (location)
Prediction models
Properties
Protein structure
Proteins
Research and Analysis Methods
Ribonucleic acid
RNA
RNA Splicing
RNA, Messenger - chemistry
RNA, Messenger - genetics
RNA, Transfer - chemistry
RNA, Transfer - genetics
Sequence Analysis, RNA - methods
Sequence Deletion
Splicing factors
Tissue culture
Translation
X-Box Binding Protein 1 - genetics
Yeast
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Title Identification of human short introns
URI https://www.ncbi.nlm.nih.gov/pubmed/28520720
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