Evidence map›Paper›PMID 34581825›Full record

ArticleNucleic acids research2021

RNA-based cooperative protein labeling that permits direct monitoring of the intracellular concentration change of an endogenous protein.

Kathleen Beverly Alog Pe, Kenji Yatsuzuka, Hayase Hakariya, Tomoki Kida, Yousuke Katsuda, Masatora Fukuda, Shin-Ichi Sato

Abstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Kathleen Beverly Alog PeInstitute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan.
Kenji YatsuzukaInstitute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan.
Hayase HakariyaInstitute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan.
Tomoki KidaDivision of Materials Science and Chemistry, Faculty of Advanced Science and Technology, Kumamoto University, 2-39-1 Kurokami, Chuo-ku, Kumamoto 860-8555, Japan.
Yousuke KatsudaInstitute for Integrated Cell-Material Sciences (WPI-iCeMS), Kyoto University, Kyoto 606-8501, Japan.
Masatora FukudaDepartment of Chemistry, Faculty of Science, Fukuoka University, 8-19-1 Nanakuma, Jonan-ku, Fukuoka 814-0180, Japan.
Shin-Ichi SatoInstitute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan.ORCID 0000-0003-3085-419X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imaging the dynamics of proteins in living cells is a powerful means for understanding cellular functions at a deeper level. Here, we report a versatile method for spatiotemporal imaging of specific endogenous proteins in living mammalian cells. The method employs a bifunctional aptamer capable of selective protein recognition and fluorescent probe-binding, which is induced only when the aptamer specifically binds to its target protein. An aptamer for β-actin protein preferentially recognizes its monomer forms over filamentous forms, resulting in selective G-actin staining in both fixed and living cells. Through actin-drug treatment, the method permitted direct monitoring of the intracellular concentration change of endogenous G-actin. This protein-labeling method, which is highly selective and non-covalent, provides rich insights into the study of spatiotemporal protein dynamics in living cells.

Indexed as

Aptamers, NucleotideActinsFluorescent DyesHeLa CellsHumansMolecular ImagingOptical ImagingProteinsRNATime-Lapse ImagingActinsAptamers, NucleotideFluorescent DyesProteinsRNA

Identifiers

PMID34581825
PMCPMC8682759

What OpenQuestion holds

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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.