Evidence map›Paper›PMID 23761436›Full record

ArticleNucleic acids research2013

Unravelling the hidden DNA structural/physical code provides novel insights on promoter location.

Elisa Durán, Sarah Djebali, Santi González, Oscar Flores, Josep Maria Mercader, Roderic Guigó, David Torrents, Montserrat Soler-López, Modesto Orozco

Abstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

9 authors.

Elisa DuránInstitute for Research in Biomedicine (IRB Barcelona), Barcelona 08028, Spain, Joint IRB-BSC Research Program on Computational Biology, Barcelona 08028, Spain, Bioinformatics and Genomics Group, Center for Genomic Regulation and Universitat Pompeu Fabra, Barcelona 08003, Spain, Barcelona Supercomputing Center, Barcelona 08034, Spain and Department of Biochemistry and Molecular Biology, University of Barcelona, Barcelona 08028, Spain.
Sarah Djebali
Santi González
Oscar Flores
Josep Maria Mercader
Roderic Guigó
David Torrents
Montserrat Soler-López
Modesto Orozco

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although protein recognition of DNA motifs in promoter regions has been traditionally considered as a critical regulatory element in transcription, the location of promoters, and in particular transcription start sites (TSSs), still remains a challenge. Here we perform a comprehensive analysis of putative core promoter sequences relative to non-annotated predicted TSSs along the human genome, which were defined by distinct DNA physical properties implemented in our ProStar computational algorithm. A representative sampling of predicted regions was subjected to extensive experimental validation and analyses. Interestingly, the vast majority proved to be transcriptionally active despite the lack of specific sequence motifs, indicating that physical signaling is indeed able to detect promoter activity beyond conventional TSS prediction methods. Furthermore, highly active regions displayed typical chromatin features associated to promoters of housekeeping genes. Our results enable to redefine the promoter signatures and analyze the diversity, evolutionary conservation and dynamic regulation of human core promoters at large-scale. Moreover, the present study strongly supports the hypothesis of an ancient regulatory mechanism encoded by the intrinsic physical properties of the DNA that may contribute to the complexity of transcription regulation in the human genome.

Indexed as

Genome, HumanPromoter Regions, GeneticSoftwareAnimalsChromatinComputational BiologyConserved SequenceEpigenesis, GeneticGenetic CodeHistonesHumansNucleic Acid ConformationSequence Analysis, DNATranscription, GeneticChromatinHistones

Identifiers

PMID23761436
PMCPMC3753636

What OpenQuestion holds

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Registered trials

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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.