Evidence map›Paper›PMID 42870666›Full record

ReviewChembiochem : a European journal of chemical biology2026

Bioorthogonal Chemistry in Neurobiology: From Imaging to Proteomics.

Neil Taylor, João de Sousa-Lourenço, Ivana Nikić-Spiegel

Abstract readReview
In one paragraph

Review in Chembiochem : a European journal of chemical biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Neil TaylorWerner Reichardt Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany.ORCID https://orcid.org/0000-0002-9175-0717
João de Sousa-LourençoLuxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg.ORCID https://orcid.org/0009-0009-3755-3067
Ivana Nikić-SpiegelWerner Reichardt Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany.ORCID https://orcid.org/0000-0002-6666-3486

Funding

Deutsche Forschungsgemeinschaft 317530061HORIZON EUROPE Marie Sklodowska-Curie Actions 101068378
6 · The paper itself

Abstract

Bioorthogonal click chemistry has emerged as a versatile approach for probing molecules with high selectivity and minimal perturbation. While applicable to diverse biomolecules, its use in protein studies has proven particularly powerful, especially in neurobiology, where precise molecular tools are essential. A key technology enabling such precision is genetic code expansion (GCE), which allows the incorporation of unnatural amino acids (UAAs) bearing bioorthogonal handles into proteins. These UAAs can be introduced site-specifically to label defined proteins or proteome-wide for systems-level analysis. Complementing this, proteome-wide labeling can be achieved through metabolic incorporation of amino acid analogs. Coupled with copper-catalyzed or strain-promoted click reactions, these labeling technologies enable applications ranging from protein visualization to mass spectrometry-based proteomics. Ongoing advances in UAA incorporation strategies and the chemical diversity of available UAAs continue to broaden the opportunities to study protein expression, localization, and dynamics. In this review, we highlight recent methodological developments in click chemistry-based protein labeling and their applications in neurobiology.

Indexed as

Amino AcidsClick ChemistryNeurobiologyProteinsProteomicsAnimalsHumansAmino AcidsProteinsclick chemistryfluorescence microscopyneural proteomicsprotein labelingunnatural amino acids

Identifiers

PMID42870666
PMCPMC13662511

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.