Evidence map›Paper›PMID 23674068›Full record

ArticleNucleus (Austin, Tex.)

Transcriptional regulatory network shapes the genome structure of Saccharomyces cerevisiae.

Songling Li, Dieter W Heermann

Open access · goldAbstract read
In one paragraph

Article in Nucleus (Austin, Tex.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

2 authors at 2 institutions in 4 countries.

Songling LiInstitute for Theoretical Physics, University of Heidelberg, Heidelberg, Germany.
Dieter W Heermann
Heidelberg University · DEInstituto de Física Teórica · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among cellular processes gene transcription is central. More and more evidence is mounting that transcription is tightly connected with the spatial organization of the chromosomes. Spatial proximity of genes sharing transcriptional machinery is one of the consequences of this organization. Motivated by information on the physical relationship among genes identified via chromosomal conformation capture methods, we complement the spatial organization with the idea that genes under similar transcription factor control, but possible scattered throughout the genome, might be in physically proximity to facilitate the access of their commonly used transcription factors. Unlike the transcription factory model, "interacting" genes in our "Gene Proximity Model" are not necessarily immediate physical neighbors but are in spatial proximity. Considering the stochastic nature of TF-promoter binding, this local condensation mechanism could serve as a tie to recruit co-regulated genes to guarantee the swiftness of biological reactions. We tested this idea with a simple eukaryotic organism, Saccharomyces cerevisiae. Chromosomal interaction patterns and folding behavior generated by our model re-construct those obtained from experiments. We show that the transcriptional regulatory network has a close linkage with the genome organization in budding yeast, which is fundamental and instrumental to later studies on other more complex eukaryotes.

Indexed as

Chromosomes, FungalGene Expression Regulation, FungalGene Regulatory NetworksGenome, FungalTranscription, GeneticAlgorithmsChromosome MappingComputational BiologyModels, GeneticPromoter Regions, GeneticSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTranscription FactorsSaccharomyces cerevisiae ProteinsTranscription Factorsgene proximitySaccharomyces cerevisiaethree-dimensional genome architecturetranscriptional regulatory networktranscription factor

Identifiers

PMID23674068
PMCPMC3720752
OpenAlexW1989036512

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.