ArticleeLife2015
Quantitative time-resolved analysis reveals intricate, differential regulation of standard- and immuno-proteasomes.
Article in eLife, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
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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.
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Who cites it
26 citing papers in PubMed.
- The Proteostasis of Thymic Stromal Cells in Health and Diseases.The protein journal · 2024Review
- Protein degradation by human 20S proteasomes elucidates the interplay between peptide hydrolysis and splicing.Nature communications · 2024Article
- InvitroSPI and a large database of proteasome-generated spliced and non-spliced peptides.Scientific data · 2023Article
- Article
- Mechanistic diversity in MHC class I antigen recognition.The Biochemical journal · 2021Review
- Potential Mimicry of Viral and Pancreatic β Cell Antigens Through Non-Spliced andFrontiers in immunology · 2021Article
- Comparative analysis identifies significant peptides related to asthma mechanism.American journal of translational research · 2021Article
- Proteasome-GeneratedFrontiers in immunology · 2021Article
- Response: Commentary: AnFrontiers in immunology · 2021Article
- Brain aging and garbage cleaning : Modelling the role of sleep, glymphatic system, and microglia senescence in the propagation of inflammaging.Seminars in immunopathology · 2020Review
- Large database for the analysis and prediction of spliced and non-spliced peptide generation by proteasomes.Scientific data · 2020Article
- Proteolytic dynamics of human 20S thymoproteasome.The Journal of biological chemistry · 2019Article
- Article
- Proteasomes and Several Aspects of Their Heterogeneity Relevant to Cancer.Frontiers in oncology · 2019Review
- Revealing the cellular degradome by mass spectrometry analysis of proteasome-cleaved peptides.Nature biotechnology · 2018Article
- PEITH(Θ): perfecting experiments with information theory in Python with GPU support.Bioinformatics (Oxford, England) · 2018Article
- Proteostasis, oxidative stress and aging.Redox biology · 2017Review
- How to deal with parameters for whole-cell modelling.Journal of the Royal Society, Interface · 2017Review
- Neuroinflammatory targets and treatments for epilepsy validated in experimental models.Epilepsia · 2017Review
- Extracellular proteasome-osteopontin circuit regulates cell migration with implications in multiple sclerosis.Scientific reports · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Proteasomal protein degradation is a key determinant of protein half-life and hence of cellular processes ranging from basic metabolism to a host of immunological processes. Despite its importance the mechanisms regulating proteasome activity are only incompletely understood. Here we use an iterative and tightly integrated experimental and modelling approach to develop, explore and validate mechanistic models of proteasomal peptide-hydrolysis dynamics. The 20S proteasome is a dynamic enzyme and its activity varies over time because of interactions between substrates and products and the proteolytic and regulatory sites; the locations of these sites and the interactions between them are predicted by the model, and experimentally supported. The analysis suggests that the rate-limiting step of hydrolysis is the transport of the substrates into the proteasome. The transport efficiency varies between human standard- and immuno-proteasomes thereby impinging upon total degradation rate and substrate cleavage-site usage.
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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.