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Promoters adopt distinct dynamic manifestations depending on transcription factor context

Molecular Systems Biology(2021)10.15252/msb.20209821Source: DataRank Database

Promoters adopt distinct dynamic manifestations depending on transcription factor context is a research paper published in Molecular Systems Biology (2021). On theSindex it has a DataRank of 0. It has been cited 15 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access15 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (8 grants)Impact (FWCI 0.52)OA: goldTopics (50)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Christoph Zechner ORCID,Anders S. Hansen ORCID

Live enrichment

PubMed:33595925 PMC:PMC7888307 OpenAlex:https://openalex.org/W3130604518

National Institutes of Health

Grant: R00GM130896

National Institutes of Health

Grant: DP2GM140938

National Institutes of Health

Grant: 1K99GM130896-01

Molecular mechanisms regulating chromatin looping in time and space

National Institutes of Health

Grant: 4R00GM130896-02

Molecular mechanisms regulating chromatin looping in time and space

National Institutes of Health

Grant: 1DP2GM140938-01

DYNAMIC BOTTOM-UP DISSECTION OF CHROMATIN LOOPING AND GENE REGULATION

Howard Hughes Medical Institute

Siebel Stem Cell Foundation

Howard Hughes Medical Institute

FWCI

0.52

Citation Percentile

0.6%

Citation Trend

2021

2022

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://link.springer.com/content/pdf/10.15252/msb.20209821.pdf

publisherhttps://link.springer.com/content/pdf/10.15252/msb.20209821.pdf

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.15252/msb.20209821

publisherhttps://link.springer.com/article/10.15252/msb.20209821/fulltext.html

publisherhttps://www.embopress.org/doi/pdf/10.15252/msb.20209821

Fields of Study

Gene Regulatory Network AnalysisViral Infectious Diseases and Gene Expression in InsectsCRISPR and Genetic Engineering0301 basic medicine0303 health sciences03 medical and health sciencesBayes TheoremGene Expression Regulation, FungalModels, StatisticalPromoter Regions, GeneticSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSingle-Cell AnalysisTranscription FactorsTranscriptional Activation

MeSH Terms

Bayes TheoremPromoter Regions, GeneticSaccharomyces cerevisiaeTranscription FactorsModels, StatisticalTranscriptional ActivationGene Expression Regulation, FungalSaccharomyces cerevisiae ProteinsSingle-Cell Analysis

Keywords

Context (archaeology)Library scienceExcellenceBiologyComputer scienceLawPolitical scienceBayesian inferenceManifestationMsn2Transcription Factor DynamicsPromoter Class SwitchingTranscriptional ActivationMedicine (General)Models, StatisticalSaccharomyces cerevisiae ProteinsQH301-705.5Bayes TheoremArticlesSaccharomyces cerevisiaeR5-920Gene Expression Regulation, FungalBiology (General)Single-Cell AnalysisPromoter Regions, GeneticTranscription Factors

Sustainable Development Goals

SDG 0: Peace, Justice and strong institutions