Evidence map›Paper›PMID 39158696›Full record

ArticleJournal of the American Chemical Society2024

Chemigenetic Far-Red Labels and Ca

Alexander Cook, Nikita Kaydanov, Begoña Ugarte-Uribe, Juan Carlos Boffi, Gretel B Kamm, Robert Prevedel, Claire Deo

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Alexander CookEuropean Molecular Biology Laboratory, Meyerhofstraße 1, 69117 Heidelberg, Germany.
Nikita KaydanovEuropean Molecular Biology Laboratory, Meyerhofstraße 1, 69117 Heidelberg, Germany.
Begoña Ugarte-UribeEuropean Molecular Biology Laboratory, Meyerhofstraße 1, 69117 Heidelberg, Germany.
Juan Carlos BoffiEuropean Molecular Biology Laboratory, Meyerhofstraße 1, 69117 Heidelberg, Germany.
Gretel B KammEuropean Molecular Biology Laboratory, Meyerhofstraße 1, 69117 Heidelberg, Germany.
Robert PrevedelEuropean Molecular Biology Laboratory, Meyerhofstraße 1, 69117 Heidelberg, Germany.
Claire DeoEuropean Molecular Biology Laboratory, Meyerhofstraße 1, 69117 Heidelberg, Germany.ORCID 0000-0003-0119-3118

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photoacoustic imaging is an emerging modality with significant promise for biomedical applications such as neuroimaging, owing to its capability to capture large fields of view deep inside complex scattering tissue. However, widespread adoption of this technique has been hindered by a lack of suitable molecular reporters for this modality. In this work, we introduce chemigenetic labels and calcium sensors specifically tailored for photoacoustic imaging, using a combination of synthetic dyes and HaloTag-based self-labeling proteins. We rationally design and engineer far-red "acoustogenic" dyes, showing high photoacoustic turn-ons upon binding to HaloTag, and develop a suite of tunable calcium indicators based on these scaffolds. These first-generation photoacoustic reporters show excellent performance in tissue-mimicking phantoms, with the best variants outperforming existing sensors in terms of signal intensity, sensitivity, and photostability. We demonstrate the application of these ligands for labeling HaloTag-expressing neurons in mouse brain tissue, producing strong, specifically targeted photoacoustic signal, and provide a first example of

Indexed as

CalciumPhotoacoustic TechniquesAnimalsBrainFluorescent DyesHumansMiceCalciumFluorescent Dyes

Identifiers

PMID39158696
PMCPMC11363013

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.