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Jin SH, Yao Y, Wu Q. RNA Enhancement by lncRNA Promotes Translation Through Recruitment of ILF3 and EIF4A1 to the Target Mammalian mRNAs. Mol Biol 2019. [DOI: 10.1134/s0026893319010047] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Takahashi H, Kozhuharova A, Sharma H, Hirose M, Ohyama T, Fasolo F, Yamazaki T, Cotella D, Santoro C, Zucchelli S, Gustincich S, Carninci P. Identification of functional features of synthetic SINEUPs, antisense lncRNAs that specifically enhance protein translation. PLoS One 2018; 13:e0183229. [PMID: 29414979 PMCID: PMC5802440 DOI: 10.1371/journal.pone.0183229] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Accepted: 08/01/2017] [Indexed: 12/26/2022] Open
Abstract
SINEUPs are antisense long noncoding RNAs, in which an embedded SINE B2 element UP-regulates translation of partially overlapping target sense mRNAs. SINEUPs contain two functional domains. First, the binding domain (BD) is located in the region antisense to the target, providing specific targeting to the overlapping mRNA. Second, the inverted SINE B2 represents the effector domain (ED) and enhances translation. To adapt SINEUP technology to a broader number of targets, we took advantage of a high-throughput, semi-automated imaging system to optimize synthetic SINEUP BD and ED design in HEK293T cell lines. Using SINEUP-GFP as a model SINEUP, we extensively screened variants of the BD to map features needed for optimal design. We found that most active SINEUPs overlap an AUG-Kozak sequence. Moreover, we report our screening of the inverted SINE B2 sequence to identify active sub-domains and map the length of the minimal active ED. Our synthetic SINEUP-GFP screening of both BDs and EDs constitutes a broad test with flexible applications to any target gene of interest.
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Affiliation(s)
- Hazuki Takahashi
- RIKEN Center for Life Science Technologies, Division of Genomic Technologies, Yokohama, Kanagawa, Japan
| | - Ana Kozhuharova
- RIKEN Center for Life Science Technologies, Division of Genomic Technologies, Yokohama, Kanagawa, Japan
| | - Harshita Sharma
- RIKEN Center for Life Science Technologies, Division of Genomic Technologies, Yokohama, Kanagawa, Japan
| | - Masakazu Hirose
- RIKEN Center for Life Science Technologies, Division of Genomic Technologies, Yokohama, Kanagawa, Japan
| | - Takako Ohyama
- RIKEN Center for Life Science Technologies, Division of Structural and Synthetic Biology, Yokohama, Kanagawa, Japan
| | - Francesca Fasolo
- Area of Neuroscience, Scuola Internazionale Superiore di Studi Avanzati, Trieste, Italy
| | - Toshio Yamazaki
- RIKEN Center for Life Science Technologies, Division of Structural and Synthetic Biology, Yokohama, Kanagawa, Japan
| | - Diego Cotella
- Department of Health Sciences, Università del Piemonte Orientale, Novara, Italy
| | - Claudio Santoro
- Department of Health Sciences & IRCAD, Università del Piemonte Orientale, Novara, Italy
| | - Silvia Zucchelli
- Area of Neuroscience, Scuola Internazionale Superiore di Studi Avanzati, Trieste, Italy
- Department of Health Sciences, Università del Piemonte Orientale, Novara, Italy
| | - Stefano Gustincich
- Area of Neuroscience, Scuola Internazionale Superiore di Studi Avanzati, Trieste, Italy
- Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy
| | - Piero Carninci
- RIKEN Center for Life Science Technologies, Division of Genomic Technologies, Yokohama, Kanagawa, Japan
- TransSINE Technologies, Yokohama, Kanagawa, Japan
- * E-mail:
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