Evidence map›Paper›PMID 26365491›Full record

ArticleCell2015

Enhancer divergence and cis-regulatory evolution in the human and chimp neural crest.

Sara L Prescott, Rajini Srinivasan, Maria Carolina Marchetto, Irina Grishina, Iñigo Narvaiza, Licia Selleri, Fred H Gage, Tomek Swigut, Joanna Wysocka

Open access · bronzeAbstract read
In one paragraph

Article in Cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 232 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
232citing papers in PubMed, 2 pooled it
15.4field-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

232 citing papers in PubMed, 2 syntheses or guidelines pooled it, 391 citations in OpenAlex.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Sara L PrescottDepartment of Chemical and Systems Biology and Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Rajini SrinivasanDepartment of Chemical and Systems Biology and Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Maria Carolina MarchettoLaboratory of Genetics, The Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA.
Irina GrishinaDepartment of Cell and Developmental Biology, Weill Cornell Medical College, Cornell University, New York, NY 10065, USA.
Iñigo NarvaizaLaboratory of Genetics, The Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA.
Licia SelleriDepartment of Cell and Developmental Biology, Weill Cornell Medical College, Cornell University, New York, NY 10065, USA.
Fred H GageLaboratory of Genetics, The Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA; Center for Academic Research and Training in Anthropogeny (CARTA), University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
Tomek SwigutDepartment of Chemical and Systems Biology and Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: swigut@stanford.edu.
Joanna WysockaDepartment of Chemical and Systems Biology and Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA; Institute of Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: wysocka@stanford.edu.
Salk Institute for Biological Studies · USStanford University · USCornell University · USCalifornia Institute for Regenerative Medicine · US

Funding

Single-Cell Approaches to Reveal How Jumping Genes Individualize Neural CircuitsR01MH095741 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI GAGE, FRED H · 2011 to 2015
$6.5M
Epigenetic landscapes and regulatory divergence of human craniofacial traitsU01DE024430 · NIDCR · STANFORD UNIVERSITY · PI SELLERI, LICIA, WYSOCKA, JOANNA · 2014 to 2018
$3.1M
Chromatin remodeling in multipotent neural crest formation and CHARGE syndromeR01GM095555 · NIGMS · STANFORD UNIVERSITY · PI WYSOCKA, JOANNA · 2010 to 2014
$1.5M
Howard Hughes Medical InstituteNIDCR NIH HHS U01 DE024430NIGMS NIH HHS GM095555NIGMS NIH HHS R01 GM095555NIMH NIH HHS TR01 MH095741
6 · The paper itself

Abstract

cis-regulatory changes play a central role in morphological divergence, yet the regulatory principles underlying emergence of human traits remain poorly understood. Here, we use epigenomic profiling from human and chimpanzee cranial neural crest cells to systematically and quantitatively annotate divergence of craniofacial cis-regulatory landscapes. Epigenomic divergence is often attributable to genetic variation within TF motifs at orthologous enhancers, with a novel motif being most predictive of activity biases. We explore properties of this cis-regulatory change, revealing the role of particular retroelements, uncovering broad clusters of species-biased enhancers near genes associated with human facial variation, and demonstrating that cis-regulatory divergence is linked to quantitative expression differences of crucial neural crest regulators. Our work provides a wealth of candidates for future evolutionary studies and demonstrates the value of "cellular anthropology," a strategy of using in-vitro-derived embryonic cell types to elucidate both fundamental and evolving mechanisms underlying morphological variation in higher primates.

Indexed as

Evolution, MolecularGenetic EnhancementAnimalsEmbryo, MammalianEpigenomicsHumansInduced Pluripotent Stem CellsMiceMice, TransgenicNeural CrestPan troglodytesSpecies Specificity

Identifiers

PMID26365491
PMCPMC4848043
OpenAlexW2119867435

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.