A blueprint of the topology and mechanics of the human ovary for next-generation bioengineering and diagnosis - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Article Dans Une Revue Nature Communications Année : 2021

A blueprint of the topology and mechanics of the human ovary for next-generation bioengineering and diagnosis

Résumé

Although the first dissection of the human ovary dates back to the 17 th century, the biophysical characteristics of the ovarian cell microenvironment are still poorly understood. However, this information is vital to deciphering cellular processes such as proliferation, morphology and differentiation, as well as pathologies like tumor progression, as demonstrated in other biological tissues. Here, we provide the first readout of human ovarian fiber morphology, interstitial and perifollicular fiber orientation, pore geometry, topography and surface roughness, and elastic and viscoelastic properties. By determining differences between healthy prepubertal, reproductive-age, and menopausal ovarian tissue, we unravel and elucidate a unique biophysical phenotype of reproductive-age tissue, bridging biophysics and female fertility. While these data enable to design of more biomimetic scaffolds for the tissue-engineered ovary, our analysis pipeline is applicable for the characterization of other organs in physiological or pathological states to reveal their biophysical markers or design their bioinspired analogs.
Fichier principal
Vignette du fichier
s41467-021-25934-4.pdf (3.04 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03767951 , version 1 (12-10-2022)

Licence

Paternité

Identifiants

Citer

Emna Ouni, Alexis Peaucelle, Kalina Haas, Olivier van Kerk, Marie-Madeleine Dolmans, et al.. A blueprint of the topology and mechanics of the human ovary for next-generation bioengineering and diagnosis. Nature Communications, 2021, 12 (1), pp.5603. ⟨10.1038/s41467-021-25934-4⟩. ⟨hal-03767951⟩
95 Consultations
12 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More