Evidence map›Paper›PMID 24473079›Full record

ArticleeLife2014

Single-molecule tracking of the transcription cycle by sub-second RNA detection.

Zhengjian Zhang, Andrey Revyakin, Jonathan B Grimm, Luke D Lavis, Robert Tjian

Open access · goldAbstract read
In one paragraph

Article in eLife, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
4.6field-weighted citation impact, top 4% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 79 citations in OpenAlex.

  1. Heterogeneous template-dependent transcription dynamics of T7 RNAP revealed by single-molecule imaging.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  7. Bleaching-resistant, Near-continuous Single-molecule Fluorescence and FRET Based on Fluorogenic and Transient DNA Binding.Chemphyschem : a European journal of chemical physics and physical chemistry · 2023
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  14. Dynamics of RNA polymerase II and elongation factor Spt4/5 recruitment during activator-dependent transcription.Proceedings of the National Academy of Sciences of the United States of America · 2020
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  15. Article
  16. Real-time 3D single molecule tracking.Nature communications · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Zhengjian ZhangJanelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, United States.
Andrey Revyakin
Jonathan B Grimm
Luke D Lavis
Robert Tjian
Janelia Research Campus · USHoward Hughes Medical Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcription is an inherently stochastic, noisy, and multi-step process, in which fluctuations at every step can cause variations in RNA synthesis, and affect physiology and differentiation decisions in otherwise identical cells. However, it has been an experimental challenge to directly link the stochastic events at the promoter to transcript production. Here we established a fast fluorescence in situ hybridization (fastFISH) method that takes advantage of intrinsically unstructured nucleic acid sequences to achieve exceptionally fast rates of specific hybridization (∼10e7 M(-1)s(-1)), and allows deterministic detection of single nascent transcripts. Using a prototypical RNA polymerase, we demonstrated the use of fastFISH to measure the kinetic rates of promoter escape, elongation, and termination in one assay at the single-molecule level, at sub-second temporal resolution. The principles of fastFISH design can be used to study stochasticity in gene regulation, to select targets for gene silencing, and to design nucleic acid nanostructures. DOI: http://dx.doi.org/10.7554/eLife.01775.001.

Indexed as

Transcription, GeneticIn Situ Hybridization, FluorescenceRNATime FactorsRNAfluorescencein situ hybridizationreal-timesingle-moleculetranscriptionunstructured nucleic acid

Identifiers

PMID24473079
PMCPMC3901038
OpenAlexW2127024395

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.