Evidence map›Paper›PMID 24925319›Full record

ArticleeLife2014

Single-molecule tracking in live cells reveals distinct target-search strategies of transcription factors in the nucleus.

Ignacio Izeddin, Vincent Récamier, Lana Bosanac, Ibrahim I Cissé, Lydia Boudarene, Claire Dugast-Darzacq, Florence Proux, Olivier Bénichou, Raphaël Voituriez, Olivier Bensaude and 2 more

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 201 papers.

0numbers the graph read from it
0cells of the map it votes in
201citing papers in PubMed
38.2field-weighted citation impact, top 1% 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

201 citing papers in PubMed, 362 citations in OpenAlex.

  1. Article
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  3. Review
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  8. Article
  9. Volumetric Single-Molecule Tracking Inside Subcellular Structures.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Transcription regulation by biomolecular condensates.Nature reviews. Molecular cell biology · 2025
    Review
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 1 institution in 2 countries.

Ignacio IzeddinFunctional Imaging of Transcription, Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Inserm U1024, and CNRS UMR 8197, Paris, France.ORCID http://orcid.org/0000-0002-8476-3915
Vincent RécamierFunctional Imaging of Transcription, Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Inserm U1024, and CNRS UMR 8197, Paris, France.
Lana BosanacFunctional Imaging of Transcription, Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Inserm U1024, and CNRS UMR 8197, Paris, France.
Ibrahim I CisséFunctional Imaging of Transcription, Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Inserm U1024, and CNRS UMR 8197, Paris, France.
Lydia BoudareneFunctional Imaging of Transcription, Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Inserm U1024, and CNRS UMR 8197, Paris, France.
Claire Dugast-DarzacqFunctional Imaging of Transcription, Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Inserm U1024, and CNRS UMR 8197, Paris, France.
Florence ProuxFunctional Imaging of Transcription, Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Inserm U1024, and CNRS UMR 8197, Paris, France.
Olivier BénichouLaboratoire de Physique Théorique de la Matière Condensée, CNRS UMR 7600, Université Pierre et Marie Curie, Paris, France.
Raphaël VoituriezLaboratoire de Physique Théorique de la Matière Condensée, CNRS UMR 7600, Université Pierre et Marie Curie, Paris, France.
Olivier BensaudeCell Biology of Transcription, Institut de Biologie de l'École Normale Supérieure (IBENS) CNRS UMR 8197, Paris, France.
Maxime DahanLaboratoire Kastler Brossel, CNRS UMR 8552, Departement de Physique et Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Paris, France.
Xavier DarzacqFunctional Imaging of Transcription, Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Inserm U1024, and CNRS UMR 8197, Paris, France.
Centre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene regulation relies on transcription factors (TFs) exploring the nucleus searching their targets. So far, most studies have focused on how fast TFs diffuse, underestimating the role of nuclear architecture. We implemented a single-molecule tracking assay to determine TFs dynamics. We found that c-Myc is a global explorer of the nucleus. In contrast, the positive transcription elongation factor P-TEFb is a local explorer that oversamples its environment. Consequently, each c-Myc molecule is equally available for all nuclear sites while P-TEFb reaches its targets in a position-dependent manner. Our observations are consistent with a model in which the exploration geometry of TFs is restrained by their interactions with nuclear structures and not by exclusion. The geometry-controlled kinetics of TFs target-search illustrates the influence of nuclear architecture on gene regulation, and has strong implications on how proteins react in the nucleus and how their function can be regulated in space and time.

Indexed as

Cell Line, TumorCell NucleusGreen Fluorescent ProteinsHistonesHumansLuminescent ProteinsPositive Transcriptional Elongation Factor BProto-Oncogene Proteins c-mycTranscription FactorsDendra2 protein, DendronephthyaGreen Fluorescent ProteinsHistonesLuminescent ProteinsPositive Transcriptional Elongation Factor BProto-Oncogene Proteins c-mycTranscription Factorsbiophysicscell biologyhumannuclear organizationsingle-molecule trackingstructural biologytarget searchtranscription regulation

Identifiers

PMID24925319
PMCPMC4095940
OpenAlexW2150406181

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.