Evidence map›Paper›PMID 28137873›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Systematic dissection of genomic features determining transcription factor binding and enhancer function.

Sharon R Grossman, Xiaolan Zhang, Li Wang, Jesse Engreitz, Alexandre Melnikov, Peter Rogov, Ryan Tewhey, Alina Isakova, Bart Deplancke, Bradley E Bernstein and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 1 pooled it
8.8field-weighted citation impact, top 2% 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

111 citing papers in PubMed, 1 synthesis or guideline pooled it, 187 citations in OpenAlex.

  1. Pooled it
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  7. PoolParty: streamlined design of DNA sequence libraries in Python.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
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  10. Quantifying the impact of genetic mutations on enhancer dynamics.bioRxiv : the preprint server for biology · 2025
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  11. Review
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51 more citing papers are in PubMed but not listed here.

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

12 authors at 6 institutions in 2 countries.

Sharon R GrossmanBroad Institute, Cambridge, MA 02142.
Xiaolan ZhangBroad Institute, Cambridge, MA 02142.
Li WangBroad Institute, Cambridge, MA 02142.
Jesse EngreitzBroad Institute, Cambridge, MA 02142.
Alexandre MelnikovBroad Institute, Cambridge, MA 02142.
Peter RogovBroad Institute, Cambridge, MA 02142.
Ryan TewheyBroad Institute, Cambridge, MA 02142.
Alina IsakovaInstitute of Bioengineering, CH-1015 Lausanne, Switzerland.
Bart DeplanckeInstitute of Bioengineering, CH-1015 Lausanne, Switzerland.
Bradley E BernsteinBroad Institute, Cambridge, MA 02142.
Tarjei S MikkelsenBroad Institute, Cambridge, MA 02142.
Eric S LanderBroad Institute, Cambridge, MA 02142; lander@broadinstitute.org.
Broad Institute · USMassachusetts Institute of Technology · USSIB Swiss Institute of Bioinformatics · CHCenter for Cancer Research · USHarvard Stem Cell Institute · USHarvard University · US

Funding

Large Scale Sequencing and Analysis of GenomesU54HG003067 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY, LANDER, ERIC S · 2004 to 2015
$568.6M
Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
Comprehensive functional characterization and dissection of noncoding regulatory elements and human genetic variationUM1HG009435 · NHGRI · BROAD INSTITUTE, INC. · PI SABETI, PARDIS CHRISTINE · 2017 to 2021
$6.6M
Tag-Seq: A Flexible Framework for Highly Multiplexed Reporter AssaysR01HG006785 · NHGRI · BROAD INSTITUTE, INC. · PI MIKKELSEN, TARJEI SIGURD · 2012 to 2014
$1.1M
Massively Parallel Phenotypic Characterization of Non-coding Genetic VariationK99HG008179 · NHGRI · HARVARD UNIVERSITY · PI TEWHEY, RYAN · 2015 to 2016
$220k
NHGRI NIH HHS K99 HG008179NHGRI NIH HHS R01 HG006785NHGRI NIH HHS U54 HG003067NHGRI NIH HHS UM1 HG009435NIGMS NIH HHS T32 GM007753
6 · The paper itself

Abstract

Enhancers regulate gene expression through the binding of sequence-specific transcription factors (TFs) to cognate motifs. Various features influence TF binding and enhancer function-including the chromatin state of the genomic locus, the affinities of the binding site, the activity of the bound TFs, and interactions among TFs. However, the precise nature and relative contributions of these features remain unclear. Here, we used massively parallel reporter assays (MPRAs) involving 32,115 natural and synthetic enhancers, together with high-throughput in vivo binding assays, to systematically dissect the contribution of each of these features to the binding and activity of genomic regulatory elements that contain motifs for PPARγ, a TF that serves as a key regulator of adipogenesis. We show that distinct sets of features govern PPARγ binding vs. enhancer activity. PPARγ binding is largely governed by the affinity of the specific motif site and higher-order features of the larger genomic locus, such as chromatin accessibility. In contrast, the enhancer activity of PPARγ binding sites depends on varying contributions from dozens of TFs in the immediate vicinity, including interactions between combinations of these TFs. Different pairs of motifs follow different interaction rules, including subadditive, additive, and superadditive interactions among specific classes of TFs, with both spatially constrained and flexible grammars. Our results provide a paradigm for the systematic characterization of the genomic features underlying regulatory elements, applicable to the design of synthetic regulatory elements or the interpretation of human genetic variation.

Indexed as

Gene Expression Regulation3T3-L1 CellsAnimalsBinding SitesEnhancer Elements, GeneticGenomicsMiceMutationNucleotide MotifsPPAR gammaProtein BindingTranscription FactorsPPAR gammaTranscription Factorsgene regulationsystems biologytranscription factor binding

Identifiers

PMID28137873
PMCPMC5321001
OpenAlexW2581468399

What OpenQuestion holds

Textmetadata
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.