Evidence map›Paper›PMID 38274070›Full record

ArticleChemical science2024

No-wash fluorogenic labeling of proteins for reversible photoswitching in live cells.

Kenji Torii, Sam Benson, Yuichiro Hori, Marc Vendrell, Kazuya Kikuchi

Open access · diamondAbstract read
In one paragraph

Article in Chemical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Experimental Approaches to Visualize Effector Protein Translocation During Host-Pathogen Interactions.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
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

5 authors at 3 institutions in 2 countries.

Kenji ToriiGraduate School of Engineering, Osaka University Suita Osaka 565-0871 Japan kkikuchi@mls.eng.osaka-u.ac.jp.
Sam BensonCentre for Inflammation Research, The University of Edinburgh Edinburgh EH16 4UU UK Marc.Vendrell@ed.ac.uk.
Yuichiro HoriFaculty of Science, Kyushu University Fukuoka Fukuoka 819-0395 Japan hori@chem.kyushu-univ.jp.
Marc VendrellCentre for Inflammation Research, The University of Edinburgh Edinburgh EH16 4UU UK Marc.Vendrell@ed.ac.uk.ORCID https://orcid.org/0000-0002-5392-9740
Kazuya KikuchiGraduate School of Engineering, Osaka University Suita Osaka 565-0871 Japan kkikuchi@mls.eng.osaka-u.ac.jp.ORCID https://orcid.org/0000-0001-7103-1275
MRC Centre for Regenerative Medicine · GBThe University of Osaka · JPKyushu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photoswitchable fluorescent molecules (PSFMs) are positioned as valuable tools for biomolecule localization tracking and super-resolution imaging technologies due to their unique ability to reversibly control fluorescence intensity upon light irradiation. Despite the high demand for PSFMs that are suitable for live-cell imaging, no general method has been reported that enables reversible fluorescence control on proteins of interest in living cells. Herein, we have established a platform to realize reversible fluorescence switching in living cells by adapting a protein labeling system. We have developed a new PSFM, named HTL-Trp-BODIPY-FF, which exhibits strong fluorogenicity upon recognition of Halo-tag protein and reversible fluorescence photoswitching in living cells. This is the first example of a PSFM that can be applicable to a general-purpose Halo-tag protein labeling system for no-wash live-cell imaging.

Identifiers

PMID38274070
PMCPMC10806661
OpenAlexW4389914283

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.