ArticleSTAR protocols2022
Single-molecule tracking for studying protein dynamics and target-search mechanism in live cells of S. cerevisiae.
Article in STAR protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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.
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Who cites it
6 citing papers in PubMed.
- Paused RNA polymerase primes promoters via RNA-mediated stabilisation of transcription factor ERα.Nature communications · 2025Article
- Single-molecule tracking reveals the dynamic turnover of Ipl1 at the kinetochores inLife science alliance · 2025Article
- Autophagy-related protein Atg11 is essential for microtubule-mediated chromosome segregation.PLoS biology · 2025Article
- Single-Molecule Tracking dataset for histone H3 (hht1) from live and fixed cells of Schizosaccharomyces pombe.Scientific data · 2024Article
- Methods that shaped telomerase research.Biogerontology · 2024Review
- Single-molecule tracking dataset of histone H3 (Hht1) inData in brief · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-molecule tracking (SMT) is a powerful approach to quantify the biophysical parameters of protein dynamics in live cells. Here, we describe a protocol for SMT in live cells of the budding yeast Saccharomyces cerevisiae. We detail how to genetically engineer yeast strains for SMT, how to set up image acquisition parameters, and how different software programs can be used to quantify a variety of biophysical parameters such as diffusion coefficient, residence time, bound fraction, jump angles, and target-search parameters. For complete details on the use and execution of this protocol, please refer to Mehta et al.
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