ArticleNature biotechnology2012
Tandem fluorescent protein timers for in vivo analysis of protein dynamics.
Article in Nature biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 papers, 1 of them a synthesis that pooled it.
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Who cites it
155 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Degrons: defining the rules of protein degradation.Nature reviews. Molecular cell biology · 2025Review
- A fluorescence lifetime-based FLIM-timer for measuring the protein turnover of transcription factor Nrf2 in live cells.Scientific reports · 2025Article
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- Enhanced Site-Specific Fluorescent Labeling of Membrane Proteins Using Native Nanodiscs.Biomolecules · 2025Article
95 more citing papers are in PubMed but not listed here.
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13 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The functional state of a cell is largely determined by the spatiotemporal organization of its proteome. Technologies exist for measuring particular aspects of protein turnover and localization, but comprehensive analysis of protein dynamics across different scales is possible only by combining several methods. Here we describe tandem fluorescent protein timers (tFTs), fusions of two single-color fluorescent proteins that mature with different kinetics, which we use to analyze protein turnover and mobility in living cells. We fuse tFTs to proteins in yeast to study the longevity, segregation and inheritance of cellular components and the mobility of proteins between subcellular compartments; to measure protein degradation kinetics without the need for time-course measurements; and to conduct high-throughput screens for regulators of protein turnover. Our experiments reveal the stable nature and asymmetric inheritance of nuclear pore complexes and identify regulators of N-end rule–mediated protein degradation.
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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.