Mechanical and signaling mechanisms that guide pre-implantation embryo movement.


Journal

Development (Cambridge, England)
ISSN: 1477-9129
Titre abrégé: Development
Pays: England
ID NLM: 8701744

Informations de publication

Date de publication:
21 12 2020
Historique:
received: 03 06 2020
accepted: 29 10 2020
pubmed: 8 11 2020
medline: 29 1 2021
entrez: 7 11 2020
Statut: epublish

Résumé

How a mammalian embryo determines and arrives at its attachment site has been studied for decades, but our understanding of this process is far from complete. Using confocal imaging and image analysis, we evaluate embryo location along the longitudinal oviductal-cervical axis of murine uteri. Our analysis reveals three distinct pre-implantation phases: embryo entry, unidirectional movement of embryo clusters and bidirectional scattering and spacing of embryos. We show that unidirectional clustered movement is facilitated by a mechanical stimulus of the embryo and is regulated by adrenergic uterine smooth muscle contractions. Embryo scattering, on the other hand, depends on embryo-uterine communication reliant on the LPAR3 signaling pathway and is independent of adrenergic muscle contractions. Finally, we demonstrate that uterine implantation sites in mice are neither random nor predetermined but are guided by the number of embryos entering the uterine lumen. These studies have implications for understanding how embryo-uterine communication is key to determining an optimal implantation site necessary for the success of a pregnancy.

Identifiants

pubmed: 33158924
pii: 226016
doi: 10.1242/dev.193490
pii:
doi:

Substances chimiques

Lpar3 protein, mouse 0
Receptors, Lysophosphatidic Acid 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2020. Published by The Company of Biologists Ltd.

Déclaration de conflit d'intérêts

Competing interestsThe authors declare no competing or financial interests.

Auteurs

Diana Flores (D)

Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University East Lansing, MI 48824, USA.
Institute for Quantitative Health Science and Engineering, Michigan State University East Lansing, MI 48824, USA.

Manoj Madhavan (M)

Department of Biomedical Engineering, Michigan State University East Lansing, MI 48824, USA.
Institute for Quantitative Health Science and Engineering, Michigan State University East Lansing, MI 48824, USA.

Savannah Wright (S)

Institute for Quantitative Health Science and Engineering, Michigan State University East Lansing, MI 48824, USA.

Ripla Arora (R)

Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University East Lansing, MI 48824, USA.
Department of Biomedical Engineering, Michigan State University East Lansing, MI 48824, USA.
Institute for Quantitative Health Science and Engineering, Michigan State University East Lansing, MI 48824, USA.

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Classifications MeSH