Evidence map›Paper›PMID 40786880›Full record

ArticleACS organic & inorganic Au2025

Red-Light-Induced Cysteine Modifications Suitable for Protein Labeling.

Tomasz Wdowik, Egor Fedorov, Tina-Thien Ho, Patrick Duriez, Eugen Stulz, Dorota Gryko

Abstract read
In one paragraph

Article in ACS organic & inorganic Au, 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

6 authors.

Tomasz WdowikInstitute of Organic Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, Warsaw 01-224, Poland.ORCID https://orcid.org/0000-0002-9840-1501
Egor FedorovInstitute of Organic Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, Warsaw 01-224, Poland.
Tina-Thien HoSchool of Chemistry and Chemical Engineering & Institute for Life Sciences, University of Southampton, Highfield, Southampton SO17 1BJ, United Kingdom.ORCID https://orcid.org/0000-0002-0576-8428
Patrick DuriezCentre for Cancer Immunology, University Hospital Southampton, Coxford Road, Southampton SO16 6YD, United Kingdom.
Eugen StulzSchool of Chemistry and Chemical Engineering & Institute for Life Sciences, University of Southampton, Highfield, Southampton SO17 1BJ, United Kingdom.ORCID https://orcid.org/0000-0002-5302-2276
Dorota GrykoInstitute of Organic Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, Warsaw 01-224, Poland.ORCID https://orcid.org/0000-0002-5197-4222

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The naturally low abundance of cysteine in proteins, combined with its propensity to undergo thiol-ene reactions, makes it a preferred amino acid for various bioconjugations. However, most of these methods rely on the use of UV radiation, radical initiators, or heavy-metal-based photocatalysts, which limits their applicability in complex biological environments. Herein, we report a photocatalyzed thiol-ene radical reaction that overcomes these limitations by employing a porphyrin-based photocatalyst and low-energy red light. This method operates under mild reaction conditions and can be expanded to a cysteinyl desulfurization reaction. As this approach proceeds in aqueous media and facilitates selective transformations of both simple free cysteine and cysteine residues within complex protein, it significantly expands the existing toolbox for cysteine bioconjugation.

Indexed as

bioconjugationcysteinephotocatalysisporphyrinproteinsred lightthiol–ene reaction

Identifiers

PMID40786880
PMCPMC12332779

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.