Evidence map›Paper›PMID 32802274›Full record

ReviewComputational and structural biotechnology journal2020

Motif grammar: The basis of the language of gene expression.

Gergely Nagy, Laszlo Nagy

Open access · goldAbstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

20 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
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  7. Integrative transcriptomic analysis reveals alternative splicing complexity and transcriptomic diversity in porcine placentas across altitudes.DNA research : an international journal for rapid publication of reports on genes and genomes · 2025
    Article
  8. Article
  9. Article
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  12. Article
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  14. Review
  15. Floral Homeotic Factors: A Question of Specificity.Plants (Basel, Switzerland) · 2023
    Review
  16. Integrative analysis reveals multiple modes of LXR transcriptional regulation in liver.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  17. Article
  18. Review
  19. Learning the Regulatory Code of Gene Expression.Frontiers in molecular biosciences · 2021
    Review
  20. 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

2 authors at 1 institution in 2 countries.

Gergely NagyDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, HU 4032, Hungary.
Laszlo NagyDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, HU 4032, Hungary.
University of Debrecen · HU

Funding

PPARgamma as an architectural regulator of gene expression in endocrine signalingR01DK115924 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI NAGY, LASZLO · 2018 to 2021
$1.6M
NIDDK NIH HHS R01 DK115924
6 · The paper itself

Abstract

Collaboration of transcription factors (TFs) and their recognition motifs in DNA is the result of coevolution and forms the basis of gene regulation. However, the way how these short genomic sequences contribute to setting the level of gene products is not understood in sufficient detail. The biological problem to be solved by the cell is complex, because each gene requires a unique regulatory network in each cellular condition using the same genome. Thus far, only some components of these networks have been uncovered. In this review, we compiled the features and principles of the motif grammar, which dictates the characteristics and thus the likelihood of the interactions of the binding TFs and their coregulators. We present how sequence features provide specificity using, as examples, two major TF superfamilies, the bZIP proteins and nuclear receptors. We also discuss the phenomenon of "weak" (low affinity) binding sites, which appear to be components of several important genomic regulatory regions, but paradoxically are barely detectable by the currently used approaches. Assembling the complete set of regulatory regions composed of both weak and strong binding sites will allow one to get more comprehensive lists of factors playing roles in gene regulation, thus making possible the deeper understanding of regulatory networks.

Indexed as

Basic leucine zipperMotif grammarNuclear receptorTranscription factorWeak motif

Identifiers

PMID32802274
PMCPMC7406977
OpenAlexW3042905800

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.