ArticleNature chemical biology2018
tRNA tracking for direct measurements of protein synthesis kinetics in live cells.
Article in Nature chemical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 55 citations in OpenAlex.
- Optimization of the genetic code expansion technology for intracellular labelling and single-molecule tracking of proteins in genomically re-codedRSC chemical biology · 2026Article
- Active transport of tRNAs facilitates distributed protein synthesis.bioRxiv : the preprint server for biology · 2026Article
- Solid-state nanopore sensing reveals conformational changes induced by a mutation in a neuron-specific tRNAArg.Nucleic acids research · 2026Article
- Roles of the membrane-binding motif and the C-terminal domain of RNase E in localization and diffusion ineLife · 2025Article
- Single-molecule imaging reveals the roles of the membrane-binding motif and the C-terminal domain of RNase E in its localization and diffusion inbioRxiv : the preprint server for biology · 2025Article
- A complex between IF2 and NusA suggests early coupling of transcription-translation.Nature communications · 2025Article
- Dynamic binding of the bacterial chaperone Trigger factor to translating ribosomes inProceedings of the National Academy of Sciences of the United States of America · 2025Article
- An optogenetic method for the controlled release of single molecules.Nature methods · 2024Article
- Fierce poison to others: the phenomenon of bacterial dependence on antibiotics.Journal of biomedical science · 2023Review
- The linear framework II: using graph theory to analyse the transient regime of Markov processes.Frontiers in cell and developmental biology · 2023Article
- Spatiotemporal kinetics of the SRP pathway in liveProceedings of the National Academy of Sciences of the United States of America · 2022Article
- Cellular perception of growth rate and the mechanistic origin of bacterial growth law.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Direct measurements of mRNA translation kinetics in living cells.Nature communications · 2022Article
- Regulation of Leaderless mRNA Translation in Bacteria.Microorganisms · 2022Review
- Article
- FRET-based dynamic structural biology: Challenges, perspectives and an appeal for open-science practices.eLife · 2021Review
- Site-Specific Fluorescent Labeling of RNA Interior Positions.Molecules (Basel, Switzerland) · 2021Review
- Real-time measurements of aminoglycoside effects on protein synthesis in live cells.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Coupled Transcription-Translation in Prokaryotes: An Old Couple With New Surprises.Frontiers in microbiology · 2020Review
- Expanding single-molecule fluorescence spectroscopy to capture complexity in biology.Current opinion in structural biology · 2019Review
Corrections and comments
- Commented on by
- Erratum issued
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Our ability to directly relate results from test-tube biochemical experiments to the kinetics in living cells is very limited. Here we present experimental and analytical tools to directly study the kinetics of fast biochemical reactions in live cells. Dye-labeled molecules are electroporated into bacterial cells and tracked using super-resolved single-molecule microscopy. Trajectories are analyzed by machine-learning algorithms to directly monitor transitions between bound and free states. In particular, we measure the dwell time of tRNAs on ribosomes, and hence achieve direct measurements of translation rates inside living cells at codon resolution. We find elongation rates with tRNA
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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.