Evidence map›Paper›PMID 27708057›Full record

ArticleScience (New York, N.Y.)2016

Systematic mapping of functional enhancer-promoter connections with CRISPR interference.

Charles P Fulco, Mathias Munschauer, Rockwell Anyoha, Glen Munson, Sharon R Grossman, Elizabeth M Perez, Michael Kane, Brian Cleary, Eric S Lander, Jesse M Engreitz

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 422 papers.

0numbers the graph read from it
0cells of the map it votes in
422citing papers in PubMed
35.9field-weighted citation impact, top 1% 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

422 citing papers in PubMed, 705 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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  6. Article
  7. Article
  8. Synthetic Regulatory Genomics.Annual review of genomics and human genetics · 2026
    Review
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  11. Review
  12. Article
  13. Article
  14. RiboScreenBiomedicines · 2026
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Trans-Kingdom dsRNA Sensing:bioRxiv : the preprint server for biology · 2026
    Article

362 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Charles P FulcoBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Mathias MunschauerBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Rockwell AnyohaBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Glen MunsonBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Sharon R GrossmanBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Elizabeth M PerezBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Michael KaneBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Brian ClearyBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Eric S LanderBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA. engreitz@broadinstitute.org lander@broadinstitute.org.
Jesse M EngreitzBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA. engreitz@broadinstitute.org lander@broadinstitute.org.
Broad Institute · USHarvard University · US

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MATTHEW G. VANDER HEIDEN · 1985 to 2026
$93.9M
Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
Graduate Training in Computational and Systems BiologyT32GM087237 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BURGE, CHRISTOPHER B · 2009 to 2023
$4.6M
NCI NIH HHS P30 CA014051NIGMS NIH HHS T32 GM007753NIGMS NIH HHS T32 GM087237
6 · The paper itself

Abstract

Gene expression in mammals is regulated by noncoding elements that can affect physiology and disease, yet the functions and target genes of most noncoding elements remain unknown. We present a high-throughput approach that uses clustered regularly interspaced short palindromic repeats (CRISPR) interference (CRISPRi) to discover regulatory elements and identify their target genes. We assess >1 megabase of sequence in the vicinity of two essential transcription factors, MYC and GATA1, and identify nine distal enhancers that control gene expression and cellular proliferation. Quantitative features of chromatin state and chromosome conformation distinguish the seven enhancers that regulate MYC from other elements that do not, suggesting a strategy for predicting enhancer-promoter connectivity. This CRISPRi-based approach can be applied to dissect transcriptional networks and interpret the contributions of noncoding genetic variation to human disease.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsCell ProliferationChromosome MappingCRISPR-Cas SystemsDiseaseEnhancer Elements, GeneticGATA1 Transcription FactorGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansK562 CellsPromoter Regions, GeneticProto-Oncogene Proteins c-mycReal-Time Polymerase Chain ReactionGATA1 protein, humanGATA1 Transcription FactorMYC protein, humanProto-Oncogene Proteins c-myc

Identifiers

PMID27708057
PMCPMC5438575
OpenAlexW2524507363

What OpenQuestion holds

Textmetadata
LicenceTDM
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.