Evidence map›Paper›PMID 31744242›Full record

ReviewInternational journal of molecular sciences2019

Fluorescent Protein-Based Indicators for Functional Super-Resolution Imaging of Biomolecular Activities in Living Cells.

Kai Lu, Cong Quang Vu, Tomoki Matsuda, Takeharu Nagai

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

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  8. Tracking tools of extracellular vesicles for biomedical research.Frontiers in bioengineering and biotechnology · 2022
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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

4 authors.

Kai LuThe Institute of Scientific and Industrial Research, Osaka University, Ibaraki 567-0047, Japan.
Cong Quang VuGraduate School of Frontier Biosciences, Osaka University, Suita, Osaka 565-0871, Japan.
Tomoki MatsudaThe Institute of Scientific and Industrial Research, Osaka University, Ibaraki 567-0047, Japan.
Takeharu NagaiThe Institute of Scientific and Industrial Research, Osaka University, Ibaraki 567-0047, Japan.

Funding

Japan Science and Technology Agency JPMJCR15N3Ministry of Education, Culture, Sports, Science and Technology 18H05410
6 · The paper itself

Abstract

Super-resolution light microscopy (SRM) offers a unique opportunity for diffraction-unlimited imaging of biomolecular activities in living cells. To realize such potential, genetically encoded indicators were developed recently from fluorescent proteins (FPs) that exhibit phototransformation behaviors including photoactivation, photoconversion, and photoswitching, etc. Super-resolution observations of biomolecule interactions and biochemical activities have been demonstrated by exploiting the principles of bimolecular fluorescence complementation (BiFC), points accumulation for imaging nanoscale topography (PAINT), and fluorescence fluctuation increase by contact (FLINC), etc. To improve functional nanoscopy with the technology of genetically encoded indicators, it is essential to fully decipher the photo-induced chemistry of FPs and opt for innovative indicator designs that utilize not only fluorescence intensity but also multi-parametric readouts such as phototransformation kinetics. In parallel, technical improvements to both the microscopy optics and image analysis pipeline are promising avenues to increase the sensitivity and versatility of functional SRM.

Indexed as

FluorescenceFluorescent DyesGreen Fluorescent ProteinsHumansLuminescent ProteinsPhotochemical ProcessesFluorescent DyesGreen Fluorescent ProteinsLuminescent ProteinsBiFCfluorescent proteinFRETgenetically encoded indicatorGFPnanoscopyPAINTphotochemistryphototransformationsuper-resolution microscopy

Identifiers

PMID31744242
PMCPMC6887983

What OpenQuestion holds

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Registered trials

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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.