Evidence map›Paper›PMID 39617722›Full record

ArticleChemistry (Weinheim an der Bergstrasse, Germany)2025

Harnessing Cyanine-like Properties to Develop Bright Fluorogenic Probes Based on Viscosity-Sensitive Molecular Rotors.

Blaise Dumat, Carolina Chieffo

Abstract read
In one paragraph

Article in Chemistry (Weinheim an der Bergstrasse, Germany), 2025. 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

2 authors.

Blaise DumatLaboratoire des biomolécules, LBM, Département de chimie, École normale supérieure, PSL University, Sorbonne Université, CNRS, 75005, Paris, France.ORCID https://orcid.org/0000-0002-0455-7282
Carolina ChieffoLaboratoire des biomolécules, LBM, Département de chimie, École normale supérieure, PSL University, Sorbonne Université, CNRS, 75005, Paris, France.ORCID https://orcid.org/0000-0003-4422-405X

Funding

Sorbonne Université
6 · The paper itself

Abstract

Dipolar fluorescent molecular rotors (FMRs) are environmentally-sensitive fluorophores that can be used in bioimaging applications to sense local viscosity and polarity. Their sensitivity to viscosity can also be used for the fluorogenic labeling of biomolecules such as DNA or proteins. In particular, we have previously used FMRs to develop a series of tunable fluorogens targeting the self-labeling protein tag Halotag for wash-free protein imaging in live cells. Despite these very useful properties, FMRs typically display moderate molar absorption coefficients that limits their overall fluorescence brightness. Herein, we synthesized a series of three model hemicyanines based on a styrylindolenium scaffold and performed a detailed study of their photophysical properties in solvents with various polarity and viscosity. We show that with a strong julolidine electron-donating group it is possible to combine intense cyanine-like absorption with the high sensitivity to viscosity of FMRs. We use this property to develop a lysosomal pH sensor and two bright cell-impermeant fluorogens targeting HaloTag for imaging membrane proteins. We believe that this bright fluorogenic scaffold based on a simple chemical structure can be used in the future to build up a variety of probes and sensors with efficient photophysical properties.

Indexed as

CarbocyaninesFluorescent DyesHumansHydrogen-Ion ConcentrationLysosomesViscosityCarbocyaninesFluorescent Dyesfluorescent molecular rotorsfluorogenic HaloTag probeshemicyaninespH sensor

Identifiers

PMID39617722
PMCPMC11814501

What OpenQuestion holds

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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 OpenQuestion graph.