Evidence map›Paper›PMID 20435898›Full record

ArticleRNA (New York, N.Y.)2010

Stimulation of -1 programmed ribosomal frameshifting by a metabolite-responsive RNA pseudoknot.

Ming-Yuan Chou, Szu-Chieh Lin, Kung-Yao Chang

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.4field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Ming-Yuan ChouInstitute of Biochemistry, National Chung-Hsing University, Taichung, 402 Taiwan.
Szu-Chieh Lin
Kung-Yao Chang
National Chung Hsing University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Specific recognition of metabolites by functional RNA motifs within mRNAs has emerged as a crucial regulatory strategy for feedback control of biochemical reactions. Such riboswitches have been demonstrated to regulate different gene expression processes, including transcriptional termination and translational initiation in prokaryotic cells, as well as splicing in eukaryotic cells. The regulatory process is usually mediated by modulating the accessibility of specific sequence information of the expression platforms via metabolite-induced RNA conformational rearrangement. In eukaryotic systems, viral and the more limited number of cellular decoding -1 programmed ribosomal frameshifting (PRF) are commonly promoted by a 3' mRNA pseudoknot. In addition, such -1 PRF is generally constitutive rather than being regulatory, and usually results in a fixed ratio of products. We report here an RNA pseudoknot capable of stimulating -1 PRF whose efficiency can be tuned in response to the concentration of S-adenosylhomocysteine (SAH), and the improvement of its frameshifting efficiency by RNA engineering. In addition to providing an alternative approach for small-molecule regulation of gene expression in eukaryotic cells, such a metabolite-responsive pseudoknot suggests a plausible mechanism for metabolite-driven translational regulation of gene expression in eukaryotic systems.

Indexed as

Frameshifting, RibosomalNucleic Acid ConformationAdenosylhomocysteinaseBase SequenceCell Culture TechniquesCell LineGene ExpressionHIV-1HumansKidneyLuciferasesModels, MolecularMolecular Sequence DataProtein BiosynthesisRNARNA, CatalyticAdenosylhomocysteinasehairpin ribozymeLuciferasesRNARNA, CatalyticRNA, Messenger

Identifiers

PMID20435898
PMCPMC2874175
OpenAlexW2117173057

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.