Evidence map›Paper›PMID 37577543›Full record

ArticlebioRxiv : the preprint server for biology2023

Systematic mapping and modeling of 3D enhancer-promoter interactions in early mouse embryonic lineages reveal regulatory principles that determine the levels and cell-type specificity of gene expression.

Dylan Murphy, Eralda Salataj, Dafne Campigli Di Giammartino, Javier Rodriguez-Hernaez, Andreas Kloetgen, Vidur Garg, Erin Char, Christopher M Uyehara, Ly-Sha Ee, UkJin Lee and 5 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 2 countries.

Dylan MurphySanford I. Weill Department of Medicine, Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY, United States.
Eralda SalatajSanford I. Weill Department of Medicine, Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY, United States.
Dafne Campigli Di GiammartinoSanford I. Weill Department of Medicine, Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY, United States.
Javier Rodriguez-HernaezDepartment of Pathology, New York University Langone Health, New York, NY 10016, USA.
Andreas KloetgenDepartment of Pathology, New York University Langone Health, New York, NY 10016, USA.
Vidur GargDevelopmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Biochemistry Cell and Molecular Biology Program, Weill Cornell Graduate School of Medical Sciences, Cornell University, New York, NY 10065, USA.
Erin CharTri-Institutional Training Program in Computational Biology and Medicine, Weill Cornell Medical College, New York, 10065, New York, USA.
Christopher M UyeharaSanford I. Weill Department of Medicine, Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY, United States.
Ly-Sha EeSanford I. Weill Department of Medicine, Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY, United States.
UkJin LeeSanford I. Weill Department of Medicine, Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY, United States.
Matthias StadtfeldSanford I. Weill Department of Medicine, Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY, United States.
Anna-Katerina HadjantonakisDevelopmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Biochemistry Cell and Molecular Biology Program, Weill Cornell Graduate School of Medical Sciences, Cornell University, New York, NY 10065, USA.
Aristotelis TsirigosDepartment of Pathology, New York University Langone Health, New York, NY 10016, USA.
Alexander PolyzosSanford I. Weill Department of Medicine, Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY, United States.
Effie ApostolouSanford I. Weill Department of Medicine, Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY, United States.
Cornell University · USNYU Langone Health · USMemorial Sloan Kettering Cancer Center · US

Funding

Structure, Function, and Dynamics of Macro-molecular Complexes that Execute and Regulate Genome FunctionRM1GM139738 · NIGMS · CORNELL UNIVERSITY · PI Thomas George Wade Graham, Steven Zvi Josefowicz · 2021 to 2026
$14.4M
Tri-Institutional PhD Program in Computational Biology & MedicineT32GM132083 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI Doron Betel, Iman Hajirasouliha · 2020 to 2026
$3.6M
Discovery of diabetes-relevant β cell enhancers through 4D enhancer mapping, integrative analysis, and large-scale CRISPRi perturbation screensU01DK128852 · NIDDK · SLOAN-KETTERING INST CAN RESEARCH · PI APOSTOLOU, EFFIE, HUANGFU, DANWEI · 2020 to 2024
$3.5M
Training Program in Developmental BiologyT32HD060600 · NICHD · WEILL MEDICAL COLL OF CORNELL UNIV · PI BAO, ZHIRONG, STUHLMANN, HEIDI · 2010 to 2024
$3.5M
Organizational principles and functional role of 3D enhancer hubs in cell fate decisionsR01GM138635 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI APOSTOLOU, EFFIE · 2020 to 2023
$1.9M
NICHD NIH HHS T32 HD060600NIDDK NIH HHS U01 DK128852NIGMS NIH HHS R01 GM138635NIGMS NIH HHS RM1 GM139738NIGMS NIH HHS T32 GM132083
6 · The paper itself

Abstract

Mammalian embryogenesis commences with two pivotal and binary cell fate decisions that give rise to three essential lineages, the trophectoderm (TE), the epiblast (EPI) and the primitive endoderm (PrE). Although key signaling pathways and transcription factors that control these early embryonic decisions have been identified, the non-coding regulatory elements via which transcriptional regulators enact these fates remain understudied. To address this gap, we have characterized, at a genome-wide scale, enhancer activity and 3D connectivity in embryo-derived stem cell lines that represent each of the early developmental fates. We observed extensive enhancer remodeling and fine-scale 3D chromatin rewiring among the three lineages, which strongly associate with transcriptional changes, although there are distinct groups of genes that are irresponsive to topological changes. In each lineage, a high degree of connectivity or "hubness" positively correlates with levels of gene expression and enriches for cell-type specific and essential genes. Genes within 3D hubs also show a significantly stronger probability of coregulation across lineages, compared to genes in linear proximity or within the same contact domains. By incorporating 3D chromatin features, we build a novel predictive model for transcriptional regulation (3D-HiChAT), which outperformed models that use only 1D promoter or proximal variables in predicting levels and cell-type specificity of gene expression. Using 3D-HiChAT, we performed genome-wide

Indexed as

3D chromatin organizationCRISPRiearly embryonic lineagesenhancer hubsenhancer-promoter interactionsgene coregulationpluripotencypredictive modelingprimitive endodermtrophectoderm

Identifiers

PMID37577543
PMCPMC10422694
OpenAlexW4384928858

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.