Evidence map›Paper›PMID 31641028›Full record

ArticleRNA (New York, N.Y.)2020

Live-cell imaging of single mRNA dynamics using split superfolder green fluorescent proteins with minimal background.

Sung Young Park, Hyungseok C Moon, Hye Yoon Park

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 31 citations in OpenAlex.

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  10. Real-time visualization of mRNA synthesis during memory formation in live mice.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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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.

Sung Young ParkDepartment of Physics and Astronomy, Seoul National University, Seoul, 08826, Korea.
Hyungseok C MoonDepartment of Physics and Astronomy, Seoul National University, Seoul, 08826, Korea.
Hye Yoon ParkDepartment of Physics and Astronomy, Seoul National University, Seoul, 08826, Korea.ORCID 0000-0003-4704-8178
Seoul National University · KR

Funding

Howard Hughes Medical InstituteWellcome TrustWellcome Trust 208468/Z/17/Z
6 · The paper itself

Abstract

The MS2 system, with an MS2 binding site (MBS) and an MS2 coat protein fused to a fluorescent protein (MCP-FP), has been widely used to fluorescently label mRNA in live cells. However, one of its limitations is the constant background fluorescence signal generated from free MCP-FPs. To overcome this obstacle, we used a superfolder GFP (sfGFP) split into two or three nonfluorescent fragments that reassemble and emit fluorescence only when bound to the target mRNA. Using the high-affinity interactions of bacteriophage coat proteins with their corresponding RNA binding motifs, we showed that the nonfluorescent sfGFP fragments were successfully brought close to each other to reconstitute a complete sfGFP. Furthermore, real-time mRNA dynamics inside the nucleus as well as the cytoplasm were observed by using the split sfGFPs with the MS2-PP7 hybrid system. Our results demonstrate that the split sfGFP systems are useful tools for background-free imaging of mRNA with high spatiotemporal resolution.

Indexed as

Cell LineCell NucleusCytoplasmGreen Fluorescent ProteinsHumansIn Situ Hybridization, FluorescenceMolecular ImagingRNA, Messengerenhanced green fluorescent proteinGreen Fluorescent ProteinsRNA, Messengerfluorescence complementationlive-cell imagingMS2 systemsingle-molecule imaging

Identifiers

PMID31641028
PMCPMC6913125
OpenAlexW2982225830

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.