Evidence map›Paper›PMID 29775585›Full record

ArticleMolecular cell2018

An Optogenetic Platform for Real-Time, Single-Cell Interrogation of Stochastic Transcriptional Regulation.

Marc Rullan, Dirk Benzinger, Gregor W Schmidt, Andreas Milias-Argeitis, Mustafa Khammash

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

77 citing papers in PubMed, 169 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Structural Basis of a Novel Heme Binding Bacterial One-Component Switch.bioRxiv : the preprint server for biology · 2026
    Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Protein design accelerates the development and application of optogenetic tools.Computational and structural biotechnology journal · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Analysis of developmental gene expression using smFISH andbioRxiv : the preprint server for biology · 2024
    Article

17 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Marc RullanDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, 4058 Basel-Stadt, Switzerland.
Dirk BenzingerDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, 4058 Basel-Stadt, Switzerland.
Gregor W SchmidtDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, 4058 Basel-Stadt, Switzerland.
Andreas Milias-ArgeitisMolecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, 9747 AG Groningen, the Netherlands. Electronic address: a.milias.argeitis@rug.nl.
Mustafa KhammashDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, 4058 Basel-Stadt, Switzerland. Electronic address: mustafa.khammash@bsse.ethz.ch.
ETH Zurich · CHUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcription is a highly regulated and inherently stochastic process. The complexity of signal transduction and gene regulation makes it challenging to analyze how the dynamic activity of transcriptional regulators affects stochastic transcription. By combining a fast-acting, photo-regulatable transcription factor with nascent RNA quantification in live cells and an experimental setup for precise spatiotemporal delivery of light inputs, we constructed a platform for the real-time, single-cell interrogation of transcription in Saccharomyces cerevisiae. We show that transcriptional activation and deactivation are fast and memoryless. By analyzing the temporal activity of individual cells, we found that transcription occurs in bursts, whose duration and timing are modulated by transcription factor activity. Using our platform, we regulated transcription via light-driven feedback loops at the single-cell level. Feedback markedly reduced cell-to-cell variability and led to qualitative differences in cellular transcriptional dynamics. Our platform establishes a flexible method for studying transcriptional dynamics in single cells.

Indexed as

Gene Expression Regulation, FungalOptogeneticsStochastic ProcessesTranscription, GeneticModels, GeneticSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSingle-Cell AnalysisSaccharomyces cerevisiae ProteinscybergeneticsEL222feedback regulationoptogeneticsPP7single cellstochasticitytranscriptiontranscriptional bursting

Identifiers

PMID29775585
PMCPMC5971206
OpenAlexW2804461679

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.