Alternative polyadenylation determines the functional landscape of inverted Alu repeats.

MDM2 RNA localization alternative polyadenylation amyotrophic lateral sclerosis antisense oligonucleotide double-stranded RNA inverted Alu repeats p53 signaling pathway post-transcriptional gene regulation transposable element

Journal

Molecular cell
ISSN: 1097-4164
Titre abrégé: Mol Cell
Pays: United States
ID NLM: 9802571

Informations de publication

Date de publication:
30 Jan 2024
Historique:
received: 14 06 2023
revised: 27 11 2023
accepted: 09 01 2024
medline: 4 2 2024
pubmed: 4 2 2024
entrez: 3 2 2024
Statut: aheadofprint

Résumé

Inverted Alu repeats (IRAlus) are abundantly found in the transcriptome, especially in introns and 3' untranslated regions (UTRs). Yet, the biological significance of IRAlus embedded in 3' UTRs remains largely unknown. Here, we find that 3' UTR IRAlus silences genes involved in essential signaling pathways. We utilize J2 antibody to directly capture and map the double-stranded RNA structure of 3' UTR IRAlus in the transcriptome. Bioinformatic analysis reveals alternative polyadenylation as a major axis of IRAlus-mediated gene regulation. Notably, the expression of mouse double minute 2 (MDM2), an inhibitor of p53, is upregulated by the exclusion of IRAlus during UTR shortening, which is exploited to silence p53 during tumorigenesis. Moreover, the transcriptome-wide UTR lengthening in neural progenitor cells results in the global downregulation of genes associated with neurodegenerative diseases, including amyotrophic lateral sclerosis, via IRAlus inclusion. Our study establishes the functional landscape of 3' UTR IRAlus and its role in human pathophysiology.

Identifiants

pubmed: 38309276
pii: S1097-2765(24)00009-1
doi: 10.1016/j.molcel.2024.01.008
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests There is currently a pending patent filing for the ASOs used in this study for which J.K., K.L., and Y.K. are listed as inventors.

Auteurs

Jayoung Ku (J)

Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.

Keonyong Lee (K)

Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.

Doyeong Ku (D)

Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.

Sujin Kim (S)

Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.

Jongbin Lee (J)

Research Center for Cellular Identity, KAIST, Daejeon 34141, Korea.

Hyunwoo Bang (H)

Department of Biological Sciences, Ulsan National Institute of Science and Technology, Ulsan 44919, Korea.

Namwook Kim (N)

Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.

Hyunsu Do (H)

Graduate School of Medical Science and Engineering, KAIST, Daejeon 34141, Korea.

Hyeonjung Lee (H)

Department of Bio and Brain Engineering, KAIST, Daejeon 34141, Korea.

Chunghun Lim (C)

Department of Biological Sciences, KAIST, Daejeon 34141, Korea.

Jinju Han (J)

Graduate School of Medical Science and Engineering, KAIST, Daejeon 34141, Korea; BioMedical Research Center, KAIST, Daejeon 34141, Korea.

Young-Suk Lee (YS)

Department of Bio and Brain Engineering, KAIST, Daejeon 34141, Korea; Graduate School of Engineering Biology, KAIST, Daejeon 34141, Korea. Electronic address: youngl@kaist.ac.kr.

Yoosik Kim (Y)

Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea; Graduate School of Engineering Biology, KAIST, Daejeon 34141, Korea; KAIST Institute for BioCentury, KAIST, Daejeon 34141, Korea; KAIST Institute for Health Science and Technology (KIHST), KAIST, Daejeon 34141, Korea; BioProcess Engineering Research Center and BioInformatics Research Center, KAIST, Daejeon 34141, Korea. Electronic address: ysyoosik@kaist.ac.kr.

Classifications MeSH