ArticleCommunications biology2022
Degron masking outlines degronons, co-degrading functional modules in the proteome.
Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 13 citations in OpenAlex.
- SPSignal: a web tool for structure-assisted prediction of nuclear localization and nuclear export signals in proteins.Nucleic acids research · 2026Article
- The complexome contextualizes proteomics data to fingerprint biological states and highlight perturbed functional modules in disease.NPJ systems biology and applications · 2026Article
- Degradation bottlenecks and resource competition in transiently and stably engineered mammalian cells.Nature communications · 2025Article
- A tetramer of BCL11A is required for stable protein production and fetal hemoglobin silencing.Science (New York, N.Y.) · 2024Article
- Cellular location shapes quaternary structure of enzymes.Nature communications · 2024Article
- Article
- Disordered clock protein interactions and charge blocks turn an hourglass into a persistent circadian oscillator.Nature communications · 2024Article
- ELM-the Eukaryotic Linear Motif resource-2024 update.Nucleic acids research · 2024Article
- Interaction modules that impart specificity to disordered protein.Trends in biochemical sciences · 2023Review
- Hierarchical graph learning for protein-protein interaction.Nature communications · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Effective organization of proteins into functional modules (networks, pathways) requires systems-level coordination between transcription, translation and degradation. Whereas the cooperation between transcription and translation was extensively studied, the cooperative degradation regulation of protein complexes and pathways has not been systematically assessed. Here we comprehensively analyzed degron masking, a major mechanism by which cellular systems coordinate degron recognition and protein degradation. For over 200 substrates with characterized degrons (E3 ligase targeting motifs, ubiquitination sites and disordered proteasomal entry sequences), we demonstrate that degrons extensively overlap with protein-protein interaction sites. Analysis of binding site information and protein abundance comparisons show that regulatory partners effectively outcompete E3 ligases, masking degrons from the ubiquitination machinery. Protein abundance variations between normal and cancer cells highlight the dynamics of degron masking components. Finally, integrative analysis of gene co-expression, half-life correlations and functional relationships between interacting proteins point towards higher-order, co-regulated degradation modules ('degronons') in the proteome.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.