Evidence map›Paper›PMID 30078726›Full record

ArticleMolecular cell2018

Cicero Predicts cis-Regulatory DNA Interactions from Single-Cell Chromatin Accessibility Data.

Hannah A Pliner, Jonathan S Packer, José L McFaline-Figueroa, Darren A Cusanovich, Riza M Daza, Delasa Aghamirzaie, Sanjay Srivatsan, Xiaojie Qiu, Dana Jackson, Anna Minkina and 4 more

Open access · greenAbstract read
In one paragraph

Article in Molecular cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 507 papers.

0numbers the graph read from it
0cells of the map it votes in
507citing papers in PubMed
28.4field-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

507 citing papers in PubMed, 893 citations in OpenAlex.

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  11. Predictive control of human pancreatic cell fate using a digital model ofbioRxiv : the preprint server for biology · 2026
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  19. Unifying multimodal single-cell data with a mixture-of-expertsbioRxiv : the preprint server for biology · 2026
    Article
  20. Article

447 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

14 authors at 4 institutions in 1 country.

Hannah A PlinerDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Jonathan S PackerDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
José L McFaline-FigueroaDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Darren A CusanovichDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Riza M DazaDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Delasa AghamirzaieDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Sanjay SrivatsanDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Xiaojie QiuDepartment of Genome Sciences, University of Washington, Seattle, WA, USA; Molecular and Cellular Biology Program, University of Washington, Seattle, WA, USA.
Dana JacksonDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Anna MinkinaDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Andrew C AdeyDepartment of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA.
Frank J SteemersIllumina, Inc., San Diego, CA, USA.
Jay ShendureDepartment of Genome Sciences, University of Washington, Seattle, WA, USA; Howard Hughes Medical Institute, Seattle, WA, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA, USA. Electronic address: shendure@uw.edu.
Cole TrapnellDepartment of Genome Sciences, University of Washington, Seattle, WA, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA, USA. Electronic address: coletrap@uw.edu.
University of Washington · USBrotman Baty Institute · USIllumina (United States) · USOregon Health & Science University · US

Funding

University of Washington Medical Scientist Training Program: MD/PhDT32GM007266 · NIGMS · UNIVERSITY OF WASHINGTON · PI HORWITZ, MARSHALL S. · 1985 to 2023
$30.4M
INTERDISCIPLINARY TRAINING IN GENOMIC SCIENCEST32HG000035 · NHGRI · UNIVERSITY OF WASHINGTON · PI Bruce Colston Trapnell · 1995 to 2026
$24.2M
University of Washington Center for Nuclear Organization and FunctionU54DK107979 · NIDDK · UNIVERSITY OF WASHINGTON · PI NOBLE, WILLIAM STAFFORD, SHENDURE, JAY ASHOK · 2015 to 2019
$11.8M
CARDIOVASCULAR RESEARCH TRAINING PROGRAMT32HL007828 · NHLBI · UNIVERSITY OF WASHINGTON · PI Francis Kim, Farid Moussavi-Harami · 1997 to 2026
$10.2M
Interpreting Genetic Variants of Uncertain SignificanceDP1HG007811 · NHGRI · UNIVERSITY OF WASHINGTON · PI SHENDURE, JAY ASHOK · 2013 to 2017
$3.8M
Massively Parallel Contiguity MappingR01HG006283 · NHGRI · UNIVERSITY OF WASHINGTON · PI SHENDURE, JAY ASHOK · 2011 to 2016
$3.4M
Charting the regulatory topography of the cell differentiation landscape with single-cell RNA-Seq.DP2HD088158 · NICHD · UNIVERSITY OF WASHINGTON · PI TRAPNELL, BRUCE COLSTON · 2015 to 2015
$2.3M
Defining the epigentic landscape at single cell resolutionR35GM124704 · NIGMS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ADEY, ANDREW · 2017 to 2021
$2.3M
Howard Hughes Medical InstituteNHGRI NIH HHS DP1 HG007811NHGRI NIH HHS R01 HG006283NHGRI NIH HHS T32 HG000035NHLBI NIH HHS T32 HL007828NICHD NIH HHS DP2 HD088158NIDDK NIH HHS U54 DK107979NIGMS NIH HHS R35 GM124704NIGMS NIH HHS T32 GM007266
6 · The paper itself

Abstract

Linking regulatory DNA elements to their target genes, which may be located hundreds of kilobases away, remains challenging. Here, we introduce Cicero, an algorithm that identifies co-accessible pairs of DNA elements using single-cell chromatin accessibility data and so connects regulatory elements to their putative target genes. We apply Cicero to investigate how dynamically accessible elements orchestrate gene regulation in differentiating myoblasts. Groups of Cicero-linked regulatory elements meet criteria of "chromatin hubs"-they are enriched for physical proximity, interact with a common set of transcription factors, and undergo coordinated changes in histone marks that are predictive of changes in gene expression. Pseudotemporal analysis revealed that most DNA elements remain in chromatin hubs throughout differentiation. A subset of elements bound by MYOD1 in myoblasts exhibit early opening in a PBX1- and MEIS1-dependent manner. Our strategy can be applied to dissect the architecture, sequence determinants, and mechanisms of cis-regulation on a genome-wide scale.

Indexed as

AdolescentCell DifferentiationChromatinChromatin Assembly and DisassemblyDNAEnhancer Elements, GeneticFemaleGene Expression RegulationGenes, HomeoboxHistonesHumansMyoblastsTranscription FactorsChromatinDNAHistonesTranscription FactorsATAC-seqchromatin accessibilityco-accessibilitygene regulationmachine learningmyoblast differentiationsingle-cell

Identifiers

PMID30078726
PMCPMC6582963
OpenAlexW2887694579

What OpenQuestion holds

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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.