Evidence map›Paper›PMID 34003257›Full record

ReviewBiochemical Society transactions2021

The needle and the haystack: single molecule tracking to probe the transcription factor search in eukaryotes.

Matteo Mazzocca, Tom Fillot, Alessia Loffreda, Daniela Gnani, Davide Mazza

Abstract readReview
In one paragraph

Review in Biochemical Society transactions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
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

34 citing papers in PubMed.

  1. Article
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  7. Binding memory of liquid molecules.Nature communications · 2025
    Article
  8. Article
  9. Article
  10. Is Enhancer Function Driven by Protein-Protein Interactions? From Bacteria to Leukemia.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  11. Review
  12. Article
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  14. Liquid condensates: a new barrier to loop extrusion?Cellular and molecular life sciences : CMLS · 2025
    Review
  15. Article
  16. Article
  17. Review
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  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Matteo MazzoccaExperimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy.
Tom FillotExperimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy.
Alessia LoffredaExperimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy.
Daniela GnaniExperimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy.
Davide MazzaExperimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy.ORCID 0000-0003-2776-4142

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcription factors (TFs) regulate transcription of their target genes by identifying and binding to regulatory regions of the genome among billions of potential non-specific decoy sites, a task that is often presented as a 'needle in the haystack' challenge. The TF search process is now well understood in bacteria, but its characterization in eukaryotes needs to account for the complex organization of the nuclear environment. Here we review how live-cell single molecule tracking is starting to shed light on the TF search mechanism in the eukaryotic cell and we outline the future challenges to tackle in order to understand how nuclear organization modulates the TF search process in physiological and pathological conditions.

Indexed as

Gene Expression RegulationAnimalsBinding SitesCell NucleusEukaryotaGenomeHumansProtein BindingRegulatory Sequences, Nucleic AcidSingle Molecule ImagingTranscription FactorsTranscription Factorssearch mechanismsingle moleculetranscription factors

Identifiers

PMID34003257
PMCPMC8286828

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Registered trials

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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.