Heterogeneity and dynamic of EMT through the plasticity of ribosome and mRNA translation.
Cancer
Components of translational machinery
Development
Epithelial to mesenchymal transition (EMT)
Fibrosis
Ribosome
Translation
Journal
Biochimica et biophysica acta. Reviews on cancer
ISSN: 1879-2561
Titre abrégé: Biochim Biophys Acta Rev Cancer
Pays: Netherlands
ID NLM: 9806362
Informations de publication
Date de publication:
05 2022
05 2022
Historique:
received:
05
01
2022
revised:
02
03
2022
accepted:
11
03
2022
pubmed:
20
3
2022
medline:
9
6
2022
entrez:
19
3
2022
Statut:
ppublish
Résumé
Growing evidence exposes translation and its translational machinery as key players in establishing and maintaining physiological and pathological biological processes. Examining translation may not only provide new biological insight but also identify novel innovative therapeutic targets in several fields of biology, including that of epithelial-to-mesenchymal transition (EMT). EMT is currently considered as a dynamic and reversible transdifferentiation process sustaining the transition from an epithelial to mesenchymal phenotype, known to be mainly driven by transcriptional reprogramming. However, it seems that the characterization of EMT plasticity is challenging, relying exclusively on transcriptomic and epigenetic approaches. Indeed, heterogeneity in EMT programs was reported to depend on the biological context. Here, by reviewing the involvement of translational control, translational machinery and ribosome biogenesis characterizing the different types of EMT, from embryonic and adult physiological to pathological contexts, we discuss the added value of integrating translational control and its machinery to depict the heterogeneity and dynamics of EMT programs.
Identifiants
pubmed: 35304296
pii: S0304-419X(22)00043-9
doi: 10.1016/j.bbcan.2022.188718
pii:
doi:
Types de publication
Journal Article
Review
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
188718Informations de copyright
Copyright © 2022 Elsevier B.V. All rights reserved.