ArticleJournal of cell science2024
When less is more - a fast TurboID knock-in approach for high-sensitivity endogenous interactome mapping.
Article in Journal of cell science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Dual proximity-based interactome mapping of FKBP51 and FKBP52 uncovers shared metabolic networks.Biochemical and biophysical research communications · 2026Article
- Mapping the dynamic plant interactome: from in vitro assays to in vivo quantitative approaches.Plant methods · 2026Review
- Identification of Potential Proteins Interacting with α-Galactosidase A to Analyze the Pathogenesis of Fabry Disease.International journal of molecular sciences · 2026Article
- Proximity labeling strategies in Caenorhabditis elegans: a comprehensive review.Cell communication and signaling : CCS · 2026Review
- There and back again: a cell biologist's journey from organelles to molecules.Biological chemistry · 2025Review
- A proximity map of RAB GTPases delineates roles for RAB14 in EARP complex and UHRF1BP1 endosomal recruitments.Communications biology · 2025Article
- Protocol for fast antibiotic resistance-based gene editing of mammalian cells with CRISPR-Cas9.STAR protocols · 2025Article
- Overcoming Analytical Challenges in Proximity Labeling Proteomics.Journal of mass spectrometry : JMS · 2025Review
- Spatial proteomics of ER tubules reveals CLMN, an ER-actin tether at focal adhesions that promotes cell migration.Cell reports · 2025Article
- Mass Spectrometry-Based Proteomics Technologies to Define Endogenous Protein-Protein Interactions and Their Applications to Cancer and Viral Infectious Diseases.Mass spectrometry reviewsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
In recent years, proximity labeling has established itself as an unbiased and powerful approach to map the interactome of specific proteins. Although physiological expression of labeling enzymes is beneficial for the mapping of interactors, generation of the desired cell lines remains time-consuming and challenging. Using our established pipeline for rapid generation of C- and N-terminal CRISPR-Cas9 knock-ins (KIs) based on antibiotic selection, we were able to compare the performance of commonly used labeling enzymes when endogenously expressed. Endogenous tagging of the µ subunit of the adaptor protein (AP)-1 complex with TurboID allowed identification of known interactors and cargo proteins that simple overexpression of a labeling enzyme fusion protein could not reveal. We used the KI strategy to compare the interactome of the different AP complexes and clathrin and were able to assemble lists of potential interactors and cargo proteins that are specific for each sorting pathway. Our approach greatly simplifies the execution of proximity labeling experiments for proteins in their native cellular environment and allows going from CRISPR transfection to mass spectrometry analysis and interactome data in just over a month.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.