ArticleNature communications2018
Precisely measured protein lifetimes in the mouse brain reveal differences across tissues and subcellular fractions.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 208 papers, 1 of them a synthesis that pooled it.
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Who cites it
208 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Shift of the insoluble content of the proteome in the aging mouse brain.Proceedings of the National Academy of Sciences of the United States of America · 2023Pooled it
- Presynaptic accumulation of APP-CTFβ may contribute to synaptic dysfunction in Alzheimer's disease.The EMBO journal · 2026Article
- Pharmacological targeting of bunyavirus-induced synaptic impairment prevents neuronal hyperexcitability.Nature communications · 2026Article
- Comparative analysis of neuronal proteolytic pathways reveals neuron-specific and sub-compartmental-specific capacities with aging.Cellular and molecular life sciences : CMLS · 2026Article
- A shared injury-homeostasis gradient in the human CSF proteome across neurological disease.Research square · 2026Article
- Molecular Solution to the Paradox of Ancient Brain Preservation.Journal of proteome research · 2026Article
- Sex- and experience-dependent regulation of synaptic protein turnover.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Mass spectrometry proteomics for studying mitostasis.Protein science : a publication of the Protein Society · 2026Review
- Analysis in vivo using a new method, ARGO (Analysis of Red-Green Offset), reveals complexity and cell-type specificity in presynaptic turnover of synaptic vesicle protein Synaptogyrin/SNG-1.Molecular biology of the cell · 2026Article
- Ageing impacts extracellular matrix turnover and remodelling in the kidney.Matrix biology plus · 2026Article
- Post-transcriptional regulatory networks: The dynamic interplay of RNA-binding proteins.The FEBS journal · 2026Review
- Age-based approach to characterize the dynamics of cellular processes.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Accelerated basement membrane remodeling and serum matrix fragments as biomarkers of fibrosis in Alport syndrome.Cell reports · 2026Article
- PrP turnover in vivo and the time to effect of prion disease therapeutics.PLoS pathogens · 2026Article
- A Computational Model for Determining Labeling Duration in Protein Turnover Studies Using a Single Deuterated Water Labeled Sample.Journal of the American Society for Mass Spectrometry · 2026Article
- Simultaneous profiling of native-state proteomes and transcriptomes of neural cell types using proximity labeling.Nature communications · 2026Article
- A Deep Quantitative Proteome Turnover Platform for Human iPSC-derived Neurons.bioRxiv : the preprint server for biology · 2026Article
- Disruption of a selective vesicle pool upon retrograde amnesia dissociates memory at presynaptic terminals.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Ribosome Molecular Aging Shapes Translation Dynamics.bioRxiv : the preprint server for biology · 2026Article
- Recent Advances in Proximity Labeling-Based Subcellular Proteomic Mapping.Molecular & cellular proteomics : MCP · 2026Review
148 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
24 authors.
Funding
Abstract
The turnover of brain proteins is critical for organism survival, and its perturbations are linked to pathology. Nevertheless, protein lifetimes have been difficult to obtain in vivo. They are readily measured in vitro by feeding cells with isotopically labeled amino acids, followed by mass spectrometry analyses. In vivo proteins are generated from at least two sources: labeled amino acids from the diet, and non-labeled amino acids from the degradation of pre-existing proteins. This renders measurements difficult. Here we solved this problem rigorously with a workflow that combines mouse in vivo isotopic labeling, mass spectrometry, and mathematical modeling. We also established several independent approaches to test and validate the results. This enabled us to measure the accurate lifetimes of ~3500 brain proteins. The high precision of our data provided a large set of biologically significant observations, including pathway-, organelle-, organ-, or cell-specific effects, along with a comprehensive catalog of extremely long-lived proteins (ELLPs).
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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.