Evidence map›Paper›PMID 33306953›Full record

ReviewCell2020

Principles of Self-Organization of the Mammalian Embryo.

Meng Zhu, Magdalena Zernicka-Goetz

Abstract readReview
In one paragraph

Review in Cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

84 citing papers in PubMed.

  1. Article
  2. Mechanical regulation of cell memory.Nature structural & molecular biology · 2026
    Review
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  17. Epigenetic remodeling during early embryonic development.Frontiers in cell and developmental biology · 2026
    Review
  18. Article
  19. Article
  20. Article

24 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

2 authors.

Meng ZhuDepartment of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge CB2 3EG, UK; Present address: Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA. Electronic address: Meng_Zhu@hms.harvard.edu.
Magdalena Zernicka-GoetzDepartment of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge CB2 3EG, UK; Division of Biology and Biological Engineering, California Institute of Technology, 1200 E. California Boulevard, Pasadena, CA 91125, USA. Electronic address: mz205@cam.ac.uk.

Funding

Placental models to support embryogenesis in vitroDP1HD104575 · NICHD · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ZERNICKA-GOETZ, MAGDALENA · 2020 to 2024
$5.8M
Temporal program for cell fate specification in the mouse embryoR01HD100456 · NICHD · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI Magdalena Zernicka-Goetz · 2020 to 2026
$3.3M
NICHD NIH HHS DP1 HD104575NICHD NIH HHS R01 HD100456Wellcome TrustWellcome Trust 098287/Z/12/Z
6 · The paper itself

Abstract

Early embryogenesis is a conserved and self-organized process. In the mammalian embryo, the potential for self-organization is manifested in its extraordinary developmental plasticity, allowing a correctly patterned embryo to arise despite experimental perturbation. The underlying mechanisms enabling such regulative development have long been a topic of study. In this Review, we summarize our current understanding of the self-organizing principles behind the regulative nature of the early mammalian embryo. We argue that geometrical constraints, feedback between mechanical and biochemical factors, and cellular heterogeneity are all required to ensure the developmental plasticity of mammalian embryo development.

Indexed as

AnimalsBlastocystBody PatterningCell LineageEmbryo, MammalianEmbryonic DevelopmentMammals

Identifiers

PMID33306953
PMCPMC8212876

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.