ArticleeLife2025
A high-throughput platform for single-molecule tracking identifies drug interaction and cellular mechanisms.
Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Rapid Optimization Enabled by Single-Molecule Tracking: Discovery of a Potent RUVBL1/2 Inhibitor to Evaluate the Targeting of MYC-Driven Cancers.Journal of medicinal chemistry · 2026Article
- Review of Machine Learning for Single-Particle Tracking: Methods, Challenges, and Biophysical Insights.Chemical & biomedical imaging · 2026Review
- Bridging single-molecule and genome-wide studies of cellular mRNA translation.RNA (New York, N.Y.) · 2026Review
- MYC modulates TOP2A diffusion to promote substrate detection and activity.Nature communications · 2026Article
- Single-molecule tracking of DNMT1 in living cells reveals its cell cycle dynamics and its redistribution upon drug treatment.Nucleic acids research · 2026Article
- Leveraging AI for cell biology discovery.Biochemical Society transactions · 2026Review
- Endocrine Examples of Phase Separation in Biology.Endocrinology · 2025Review
- Article
- TFE3 fusion oncoprotein condensates drive transcriptional reprogramming and cancer progression in translocation renal cell carcinoma.Cell reports · 2025Article
- Surprising features of nuclear receptor interaction networks revealed by live-cell single-molecule imaging.eLife · 2025Article
- A high-throughput platform for single-molecule tracking identifies drug interaction and cellular mechanisms.eLife · 2025Article
- Surprising Features of Nuclear Receptor Interaction Networks Revealed by Live Cell Single Molecule Imaging.bioRxiv : the preprint server for biology · 2024Article
- Four-color single-molecule imaging system for tracking GPCR dynamics with fluorescent HiBiT peptide.Biophysics and physicobiology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
30 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The regulation of cell physiology depends largely upon interactions of functionally distinct proteins and cellular components. These interactions may be transient or long-lived, but often affect protein motion. Measurement of protein dynamics within a cellular environment, particularly while perturbing protein function with small molecules, may enable dissection of key interactions and facilitate drug discovery; however, current approaches are limited by throughput with respect to data acquisition and analysis. As a result, studies using super-resolution imaging are typically drawing conclusions from tens of cells and a few experimental conditions tested. We addressed these limitations by developing a high-throughput single-molecule tracking (htSMT) platform for pharmacologic dissection of protein dynamics in living cells at an unprecedented scale (capable of imaging >10
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.