Evidence map›Paper›PMID 33266910›Full record

ArticleEntropy (Basel, Switzerland)2019

Spatial Organization of the Gene Regulatory Program: An Information Theoretical Approach to Breast Cancer Transcriptomics.

Guillermo de Anda-Jáuregui, Jesús Espinal-Enriquez, Enrique Hernández-Lemus

Open access · goldAbstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2019. 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
1.1field-weighted citation impact, top 23% 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, 15 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

3 authors at 2 institutions in 1 country.

Guillermo de Anda-JáureguiComputational Genomics Division, National Institute of Genomic Medicine, Tlalpan 14610, Ciudad de México, Mexico.ORCID 0000-0002-7749-0365
Jesús Espinal-EnriquezComputational Genomics Division, National Institute of Genomic Medicine, Tlalpan 14610, Ciudad de México, Mexico.ORCID 0000-0002-8707-2511
Enrique Hernández-LemusComputational Genomics Division, National Institute of Genomic Medicine, Tlalpan 14610, Ciudad de México, Mexico.ORCID 0000-0002-1872-1397
Universidad Autónoma de la Ciudad de México · MXNational Institute of Genomic Medicine · MX

Funding

Consejo Nacional de Ciencia y Tecnología 2115/2016Consejo Nacional de Ciencia y Tecnología 285544/2016Fundación Marcos Moshinsky CMM2016Fundacion Miguel Aleman FMM2018
6 · The paper itself

Abstract

Gene regulation may be studied from an information-theoretic perspective. Gene regulatory programs are representations of the complete regulatory phenomenon associated to each biological state. In diseases such as cancer, these programs exhibit major alterations, which have been associated with the spatial organization of the genome into chromosomes. In this work, we analyze intrachromosomal, or cis-, and interchromosomal, or trans-gene regulatory programs in order to assess the differences that arise in the context of breast cancer. We find that using information theoretic approaches, it is possible to differentiate cis-and trans-regulatory programs in terms of the changes that they exhibit in the breast cancer context, indicating that in breast cancer there is a loss of trans-regulation. Finally, we use these programs to reconstruct a possible spatial relationship between chromosomes.

Indexed as

cancer transcriptomicsgene regulatory programmarkov random fieldmutual informationspatial dependency structures

Identifiers

PMID33266910
PMCPMC7514677
OpenAlexW2912472598

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.