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Massively parallel analysis of human 3′ UTRs reveals that AU-rich element length and registration predict mRNA destabilization
AU-rich elements (AREs) are 3′ UTR cis-regulatory elements that regulate the stability of mRNAs. Consensus ARE motifs have been determined, but little is known about how differences in 3′ UTR sequences that conform to these motifs affect their function. Here, we use functional annotation of sequence...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728028/ https://www.ncbi.nlm.nih.gov/pubmed/34849835 http://dx.doi.org/10.1093/g3journal/jkab404 |
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author | Siegel, David A Le Tonqueze, Olivier Biton, Anne Zaitlen, Noah Erle, David J |
author_facet | Siegel, David A Le Tonqueze, Olivier Biton, Anne Zaitlen, Noah Erle, David J |
author_sort | Siegel, David A |
collection | PubMed |
description | AU-rich elements (AREs) are 3′ UTR cis-regulatory elements that regulate the stability of mRNAs. Consensus ARE motifs have been determined, but little is known about how differences in 3′ UTR sequences that conform to these motifs affect their function. Here, we use functional annotation of sequences from 3′ UTRs (fast-UTR), a massively parallel reporter assay (MPRA), to investigate the effects of 41,288 3′ UTR sequence fragments from 4653 transcripts on gene expression and mRNA stability in Jurkat and Beas2B cells. Our analyses demonstrate that the length of an ARE and its registration (the first and last nucleotides of the repeating ARE motif) have significant effects on gene expression and stability. Based on this finding, we propose improved ARE classification and concomitant methods to categorize and predict the effect of AREs on gene expression and stability. Finally, to investigate the advantages of our general experimental design we examine other motifs including constitutive decay elements (CDEs), where we show that the length of the CDE stem-loop has a significant impact on steady-state expression and mRNA stability. We conclude that fast-UTR, in conjunction with our analytical approach, can produce improved yet simple sequence-based rules for predicting the activity of human 3′ UTRs. |
format | Online Article Text |
id | pubmed-8728028 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-87280282022-01-05 Massively parallel analysis of human 3′ UTRs reveals that AU-rich element length and registration predict mRNA destabilization Siegel, David A Le Tonqueze, Olivier Biton, Anne Zaitlen, Noah Erle, David J G3 (Bethesda) Investigation AU-rich elements (AREs) are 3′ UTR cis-regulatory elements that regulate the stability of mRNAs. Consensus ARE motifs have been determined, but little is known about how differences in 3′ UTR sequences that conform to these motifs affect their function. Here, we use functional annotation of sequences from 3′ UTRs (fast-UTR), a massively parallel reporter assay (MPRA), to investigate the effects of 41,288 3′ UTR sequence fragments from 4653 transcripts on gene expression and mRNA stability in Jurkat and Beas2B cells. Our analyses demonstrate that the length of an ARE and its registration (the first and last nucleotides of the repeating ARE motif) have significant effects on gene expression and stability. Based on this finding, we propose improved ARE classification and concomitant methods to categorize and predict the effect of AREs on gene expression and stability. Finally, to investigate the advantages of our general experimental design we examine other motifs including constitutive decay elements (CDEs), where we show that the length of the CDE stem-loop has a significant impact on steady-state expression and mRNA stability. We conclude that fast-UTR, in conjunction with our analytical approach, can produce improved yet simple sequence-based rules for predicting the activity of human 3′ UTRs. Oxford University Press 2021-11-29 /pmc/articles/PMC8728028/ /pubmed/34849835 http://dx.doi.org/10.1093/g3journal/jkab404 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Genetics Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Investigation Siegel, David A Le Tonqueze, Olivier Biton, Anne Zaitlen, Noah Erle, David J Massively parallel analysis of human 3′ UTRs reveals that AU-rich element length and registration predict mRNA destabilization |
title | Massively parallel analysis of human 3′ UTRs reveals that AU-rich element length and registration predict mRNA destabilization |
title_full | Massively parallel analysis of human 3′ UTRs reveals that AU-rich element length and registration predict mRNA destabilization |
title_fullStr | Massively parallel analysis of human 3′ UTRs reveals that AU-rich element length and registration predict mRNA destabilization |
title_full_unstemmed | Massively parallel analysis of human 3′ UTRs reveals that AU-rich element length and registration predict mRNA destabilization |
title_short | Massively parallel analysis of human 3′ UTRs reveals that AU-rich element length and registration predict mRNA destabilization |
title_sort | massively parallel analysis of human 3′ utrs reveals that au-rich element length and registration predict mrna destabilization |
topic | Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728028/ https://www.ncbi.nlm.nih.gov/pubmed/34849835 http://dx.doi.org/10.1093/g3journal/jkab404 |
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