Evidence map›Paper›PMID 41001975›Full record

ArticleAngewandte Chemie (International ed. in English)2025

Fluorescent Peptide Tracers for Simultaneous Oxytocin Receptor Activation and Visualization.

Monika Perisic Böhm, Predrag Kalaba, Rachel S Gormal, Maja Zupančič, Alexandra Wolf, Mia Juračić, Thomas Kremsmayr, Frédéric A Meunier, Thierry Langer, Christian W Gruber and 2 more

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2025. 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
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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

12 authors.

Monika Perisic Böhm *Institute of Biological Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria.ORCID 0009-0005-3413-1310
Predrag Kalaba *Institute of Biological Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria.ORCID 0000-0003-0480-2337
Rachel S GormalClem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, Australia.ORCID 0000-0003-1604-0253
Maja ZupančičDepartment of Molecular Neurosciences, Center for Brain Research, Medical University of Vienna, Vienna, Austria.
Alexandra WolfDepartment of Molecular Neurosciences, Center for Brain Research, Medical University of Vienna, Vienna, Austria.
Mia JuračićInstitute of Biological Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria.
Thomas KremsmayrInstitute of Biological Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria.
Frédéric A MeunierClem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, Australia.ORCID 0000-0001-6400-1107
Thierry LangerDepartment of Pharmaceutical Sciences, Faculty of Life Sciences, University of Vienna, Vienna, Austria.ORCID 0000-0002-5242-1240
Christian W GruberInstitute of Pharmacology, Center for Physiology and Pharmacology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0001-6060-7048
Erik Keimpema *Department of Molecular Neurosciences, Center for Brain Research, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-7555-6762
Markus Muttenthaler *Institute of Biological Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria.ORCID 0000-0003-1996-4646

Funding

Australian Research Council DP230102278Australian Research Council DP230102707Australian Research Council FT210100266Australian Research Council LE130100078Austrian Academy of Sciences DOC Fellowship 27012Austrian Science Fund (FWF) 10.55776/P36762Austrian Science Fund (FWF) P34121-BAustrian Science Fund (FWF) TAI 382-BCancer Council Queensland and Cancer Australia 1146504European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program 714366National Health and Medical Research Council (NHMRC) Fellowship GNT#1155794The University of Queensland Strategic Initiatives Fund DVCR22052A
6 · The paper itself

Abstract

The oxytocin receptor (OTR) regulates critical physiological functions and has been implicated in a range of diseases, including psychiatric and neurodevelopmental disorders such as autism spectrum disorder. However, a lack of reliable molecular tools hampers the progress in understanding OTR's mechanistic roles in (patho)physiological processes. In this work, we addressed this gap and developed potent, selective, and bright fluorescent peptide tracers that enable precise spatial and functional investigations of OTR actions. Our tracers showed efficient OTR labeling, activation, and internalization in cellular bioassays in both live and fixed overexpression and primary cell systems, including those subjected to immunocytochemical protocols, highlighting their versatility as reliable new imaging tools. Additionally, they facilitated single-molecule tracking of OTR with live-cell super-resolution microscopy and were able to separate OTR-positive cells from mixed oxytocin and vasopressin receptor-containing cell populations via fluorescence-activated cell sorting, underscoring their wider scope for live-cell applications. In summary, we developed versatile fluorescent tracers based on the endogenous ligand oxytocin for both live-cell and post-hoc imaging that have additional functional capabilities beyond traditional antibody labeling, offering new avenues to explore OTR's role in health and disease.

Indexed as

Fluorescent DyesPeptidesReceptors, OxytocinHEK293 CellsHumansOxytocinFluorescent DyesOxytocinPeptidesReceptors, OxytocinBioactive peptide tracersImagingImmunocytochemistryOxytocin receptor visualizationStructure–activity relationship (SAR) study

Identifiers

PMID41001975
PMCPMC12603982

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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.