Evidence map›Paper›PMID 41164956›Full record

ReviewJournal of cell science2025

Advances in ciliary proteomics - towards cracking the hidden proteome code of cilia.

Bernhard Schermer, Ronald Roepman, David U Mick

Abstract readReview
In one paragraph

Review in Journal of cell science, 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. Review
  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

3 authors.

Bernhard SchermerDepartment II of Internal Medicine, Center for Molecular Medicine Cologne, and Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Faculty of Medicine and University Hospital Cologne, 50937 Cologne, Germany.
Ronald RoepmanDepartment of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands.
David U MickCenter for Molecular Signaling (PZMS), Department of Medical Biochemistry and Molecular Biology, Saarland University School of Medicine, 66421 Homburg, Germany.

Funding

Deutsche Forschungsgemeinschaft 503306912European Union 101080717
6 · The paper itself

Abstract

Understanding the dynamic protein composition of cilia, crucial sensory organelles implicated in ciliopathies, is essential for comprehending cellular function and disease mechanisms. This Review summarizes advancements in methodologies for characterizing cilia proteomes. Traditional biochemical methods for isolating cilia from various model organisms have yielded informative protein inventories of cilia. These approaches worked particularly well for motile cilia but face challenges when investigating sparse primary cilia in various mammalian cells and tissues. The advent of protein-protein interaction mapping approaches employing genetically encoded affinity purification tags followed by mass spectrometry (AP-MS), has elucidated crucial ciliopathy-associated protein modules such as the BBSome, leading to new gene discoveries. More recently, proximity labeling techniques (APEX, BioID and TurboID) have revolutionized the field, enabling high-resolution and dynamic mapping of ciliary proteomes and signaling pathways, and dissecting protein trafficking defects in ciliopathy models. Despite technical variations, these methods offer novel insights into the ciliary and sub-ciliary protein environment. Further advancements in spatial proteomic technologies and mass spectrometry sensitivity might ultimately allow us to delineate dynamic proteomic profiles of specific cilia accurately across different cell types and tissues.

Indexed as

CiliaProteomeProteomicsAnimalsCiliopathiesHumansMass SpectrometryProteomeCiliaCiliopathiesProtein networksProteomicsProximity labeling

Identifiers

PMID41164956
PMCPMC12633740

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.