Evidence map›Paper›PMID 33286254›Full record

ArticleEntropy (Basel, Switzerland)2020

Binary Expression Enhances Reliability of Messaging in Gene Networks.

Leonardo R Gama, Guilherme Giovanini, Gábor Balázsi, Alexandre F Ramos

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

4 authors.

Leonardo R GamaDepartamento de Radiologia e Oncologia & Instituto do Câncer do Estado de São Paulo-Faculdade de Medicina, Universidade de São Paulo, São Paulo CEP 05403-911, SP, Brazil.
Guilherme GiovaniniEscola de Artes, Ciências e Humanidades, Universidade de São Paulo, Av. Arlindo Béttio, 1000, São Paulo CEP 03828-000, SP, Brazil.ORCID 0000-0003-4002-7083
Gábor BalázsiThe Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA.ORCID 0000-0002-6865-5818
Alexandre F RamosDepartamento de Radiologia e Oncologia & Instituto do Câncer do Estado de São Paulo-Faculdade de Medicina, Universidade de São Paulo, São Paulo CEP 05403-911, SP, Brazil.ORCID 0000-0003-4681-3069

Funding

Dynamics and evolution of synthetic and natural gene regulatory networksR35GM122561 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI BALAZSI, GABOR · 2017 to 2025
$4.2M
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88881.062174/2014-01Fundação de Amparo à Pesquisa do Estado de São Paulo 2012/24962-3NIGMS NIH HHS R35 GM122561NIH HHS R35 GM122561Pro-Reitoria de Pesquisa, Universidade de São Paulo 18.5.245.86.7
6 · The paper itself

Abstract

The promoter state of a gene and its expression levels are modulated by the amounts of transcription factors interacting with its regulatory regions. Hence, one may interpret a gene network as a communicating system in which the state of the promoter of a gene (the

Indexed as

binary gene regulationbursty gene expressionnoise in gene networksShannon theorystochastic modeling

Identifiers

PMID33286254
PMCPMC7516962

What Socratic 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 Socratic graph.