Evidence map›Paper›PMID 24985916›Full record

ArticleGenome research2014

Diverse patterns of genomic targeting by transcriptional regulators in Drosophila melanogaster.

Matthew Slattery, Lijia Ma, Rebecca F Spokony, Robert K Arthur, Pouya Kheradpour, Anshul Kundaje, Nicolas Nègre, Alex Crofts, Ryan Ptashkin, Jennifer Zieba and 11 more

Open access · hybridAbstract read
In one paragraph

Article in Genome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed, 34 citations in OpenAlex.

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  19. New insights for Drosophila GAGA factor in larvae.Royal Society open science · 2015
    Article
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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

21 authors at 4 institutions in 2 countries.

Matthew SlatteryInstitute for Genomics & Systems Biology, Department of Human Genetics, The University of Chicago, Chicago, Illinois 60637, USA;
Lijia MaInstitute for Genomics & Systems Biology, Department of Human Genetics, The University of Chicago, Chicago, Illinois 60637, USA;
Rebecca F SpokonyInstitute for Genomics & Systems Biology, Department of Human Genetics, The University of Chicago, Chicago, Illinois 60637, USA;
Robert K ArthurInstitute for Genomics & Systems Biology, Department of Human Genetics, The University of Chicago, Chicago, Illinois 60637, USA;
Pouya KheradpourComputer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA;
Anshul KundajeComputer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA;
Nicolas NègreInstitute for Genomics & Systems Biology, Department of Human Genetics, The University of Chicago, Chicago, Illinois 60637, USA; Université de Montpellier II and INRA, UMR1333 DGIMI, F-34095 Montpellier, France;
Alex CroftsInstitute for Genomics & Systems Biology, Department of Human Genetics, The University of Chicago, Chicago, Illinois 60637, USA;
Ryan PtashkinInstitute for Genomics & Systems Biology, Department of Human Genetics, The University of Chicago, Chicago, Illinois 60637, USA;
Jennifer ZiebaInstitute for Genomics & Systems Biology, Department of Human Genetics, The University of Chicago, Chicago, Illinois 60637, USA;
Alexander OstapenkoInstitute for Genomics & Systems Biology, Department of Human Genetics, The University of Chicago, Chicago, Illinois 60637, USA;
Sarah SuchyInstitute for Genomics & Systems Biology, Department of Human Genetics, The University of Chicago, Chicago, Illinois 60637, USA;
Alec VictorsenInstitute for Genomics & Systems Biology, Department of Human Genetics, The University of Chicago, Chicago, Illinois 60637, USA;
Nader JameelInstitute for Genomics & Systems Biology, Department of Human Genetics, The University of Chicago, Chicago, Illinois 60637, USA;
A Jason GrundstadInstitute for Genomics & Systems Biology, Department of Human Genetics, The University of Chicago, Chicago, Illinois 60637, USA;
Wenxuan GaoInstitute for Genomics & Systems Biology, Department of Human Genetics, The University of Chicago, Chicago, Illinois 60637, USA;
Jennifer R MoranInstitute for Genomics & Systems Biology, Department of Human Genetics, The University of Chicago, Chicago, Illinois 60637, USA;
E Jay RehmInstitute for Genomics & Systems Biology, Department of Human Genetics, The University of Chicago, Chicago, Illinois 60637, USA;
Robert L GrossmanInstitute for Genomics & Systems Biology, Department of Human Genetics, The University of Chicago, Chicago, Illinois 60637, USA;
Manolis KellisComputer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA; Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.
Kevin P WhiteInstitute for Genomics & Systems Biology, Department of Human Genetics, The University of Chicago, Chicago, Illinois 60637, USA;
University of Chicago · USMassachusetts Institute of Technology · USBroad Institute · USUniversité de Montpellier · FR

Funding

Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
A Cis Regulatory map of the Drosophila GenomeU01HG004264 · NHGRI · UNIVERSITY OF CHICAGO · PI WHITE, KEVIN P. · 2007 to 2011
$12.1M
Regulatory Morif Discovery in the Human Genome Using Comparative GenomicsR01HG004037 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS · 2007 to 2015
$3.9M
NCATS NIH HHS UL1 TR000430NHGRI NIH HHS R01 HG004037NHGRI NIH HHS U01 HG004264NHGRI NIH HHS U01HG004264
6 · The paper itself

Abstract

Annotation of regulatory elements and identification of the transcription-related factors (TRFs) targeting these elements are key steps in understanding how cells interpret their genetic blueprint and their environment during development, and how that process goes awry in the case of disease. One goal of the modENCODE (model organism ENCyclopedia of DNA Elements) Project is to survey a diverse sampling of TRFs, both DNA-binding and non-DNA-binding factors, to provide a framework for the subsequent study of the mechanisms by which transcriptional regulators target the genome. Here we provide an updated map of the Drosophila melanogaster regulatory genome based on the location of 84 TRFs at various stages of development. This regulatory map reveals a variety of genomic targeting patterns, including factors with strong preferences toward proximal promoter binding, factors that target intergenic and intronic DNA, and factors with distinct chromatin state preferences. The data also highlight the stringency of the Polycomb regulatory network, and show association of the Trithorax-like (Trl) protein with hotspots of DNA binding throughout development. Furthermore, the data identify more than 5800 instances in which TRFs target DNA regions with demonstrated enhancer activity. Regions of high TRF co-occupancy are more likely to be associated with open enhancers used across cell types, while lower TRF occupancy regions are associated with complex enhancers that are also regulated at the epigenetic level. Together these data serve as a resource for the research community in the continued effort to dissect transcriptional regulatory mechanisms directing Drosophila development.

Indexed as

Gene Expression RegulationGenome, InsectTranscription FactorsTranscription, GeneticAnimalsBase SequenceBinding SitesChromatinCluster AnalysisComputational BiologyDrosophila melanogasterEnhancer Elements, GeneticGene Expression ProfilingGenomicsNucleotide MotifsProtein BindingChromatinTranscription Factors

Identifiers

PMID24985916
PMCPMC4079976
OpenAlexW2118463494

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.