Evidence map›Paper›PMID 24637837›Full record

ReviewNucleus (Austin, Tex.)

Are genes switched on when they kiss?

Stephanie Fanucchi, Youtaro Shibayama, Musa M Mhlanga

Open access · goldAbstract readReview
In one paragraph

Review in Nucleus (Austin, Tex.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

3 authors at 3 institutions in 5 countries.

Stephanie FanucchiGene Expression and Biophysics Group; Synthetic Biology Emerging Research Area; Biosciences Unit; Council for Scientific and Industrial Research; Pretoria, South Africa.
Youtaro ShibayamaGene Expression and Biophysics Group; Synthetic Biology Emerging Research Area; Biosciences Unit; Council for Scientific and Industrial Research; Pretoria, South Africa.
Musa M MhlangaGene Expression and Biophysics Group; Synthetic Biology Emerging Research Area; Biosciences Unit; Council for Scientific and Industrial Research; Pretoria, South Africa; Unidade de Biofísica e Expressão Genética; Instituto de Medicina Molecular; Faculdade de Medicina; Universidade de Lisboa; Lisboa, Portugal.
ARC Centre of Excellence in Synthetic Biology · AUCouncil for Scientific and Industrial Research · ZAExpression Génétique Microbienne · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromatin loops are pervasive and permit the tight compaction of DNA within the confined space of the nucleus. Looping enables distal genes and DNA elements to engage in chromosomal contact, to form multigene complexes. Advances in biochemical and imaging techniques reveal that loop-mediated contact is strongly correlated with transcription of interacting DNA. However, these approaches only provide a snapshot of events and therefore are unable to reveal the dynamics of multigene complex assembly. This highlights the necessity to develop single cell-based assays that provide single molecule resolution, and are able to functionally interrogate the role of chromosomal contact on gene regulation. To this end, high-resolution single cell imaging regimes, combined with genome editing approaches, are proving to be pivotal to advancing our understanding of loop-mediated dynamics.

Indexed as

Gene Expression RegulationChromatinChromosomesGenesGenomicsHumansChromatinchromosomal loopingCRISPRgenome editingmultigene complexRNARNA FISHsingle molecule imagingTALENtranscription

Identifiers

PMID24637837
PMCPMC4049915
OpenAlexW1968782345

What OpenQuestion holds

Textmetadata
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.