Massively parallel analysis of human 3' UTRs reveals that AU-rich element length and registration predict mRNA destabilization.


Journal

G3 (Bethesda, Md.)
ISSN: 2160-1836
Titre abrégé: G3 (Bethesda)
Pays: England
ID NLM: 101566598

Informations de publication

Date de publication:
04 01 2022
Historique:
received: 31 05 2021
accepted: 13 10 2021
pubmed: 2 12 2021
medline: 9 3 2022
entrez: 1 12 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 34849835
pii: 6446033
doi: 10.1093/g3journal/jkab404
pmc: PMC8728028
pii:
doi:

Substances chimiques

3' Untranslated Regions 0
RNA, Messenger 0

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NCI NIH HHS
ID : R01 CA227466
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA227237
Pays : United States
Organisme : NHGRI NIH HHS
ID : R01 HG006399
Pays : United States
Organisme : NHGRI NIH HHS
ID : U01 HG009080
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM110251
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL124285
Pays : United States
Organisme : NIDCR NIH HHS
ID : R03 DE025665
Pays : United States
Organisme : NHLBI NIH HHS
ID : R35 HL145235
Pays : United States
Organisme : NHLBI NIH HHS
ID : K25 HL121295
Pays : United States
Organisme : NIEHS NIH HHS
ID : R01 ES029929
Pays : United States

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of Genetics Society of America.

Auteurs

David A Siegel (DA)

Department of Medicine, Lung Biology Center, University of California San Francisco, San Francisco, CA 94158, USA.

Olivier Le Tonqueze (O)

Department of Medicine, Lung Biology Center, University of California San Francisco, San Francisco, CA 94158, USA.

Anne Biton (A)

Department of Medicine, Lung Biology Center, University of California San Francisco, San Francisco, CA 94158, USA.
Hub de Bioinformatique et Biostatistique-Département Biologie Computationnelle, Institut Pasteur, Université de Paris, Bioinformatics and Biostatistics Hub, F-75015 Paris, France.

Noah Zaitlen (N)

Department of Medicine, Lung Biology Center, University of California San Francisco, San Francisco, CA 94158, USA.

David J Erle (DJ)

Department of Medicine, Lung Biology Center, University of California San Francisco, San Francisco, CA 94158, USA.

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