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Bonroy, J.

Publications and source records attributed to Bonroy, J..

2 recordsLinked to original sources

XIST Drives X-Chromosome Inactivation and Safeguards Female Extraembryonic Cells in Humans

Dosage compensation of sex chromosomes through X-chromosome inactivation (XCI) is required for mice extra-embryonic tissue growth and embryo development. The species specificity in mechanisms and timing leading to XCI during early embryogenesis, however, left the key question of the interdependence between XCI and human development open. Here, we show that the differentiation of naive human pluripotent stem cells to trophoblast stem cells and extraembryonic mesoderm cells triggers XCI. The inactive X chromosome, however, displays an atypical chromatin state, lacking classical enrichment of heterochromatin markers and DNA methylation. We demonstrate that extraembryonic differentiation and XCI are kinetically and functionally linked. Using loss of function approaches, we prove that XIST is required for human XCI establishment. We also reveal that XCI is key for the survival of human female extraembryonic cells. Our work therefore links XCI to the formation of extraembryonic annexes, with important consequences for human reproductive biology. HIGHLIGHTSO_LINaive hPSCs to EXMCs and TSCs differentiation recapitulates human XCI C_LIO_LIThe Xi has an unusual chromatin status in human extraembryonic cells C_LIO_LIXIST is required for the establishment of human XCI C_LIO_LIXCI supports healthy development of human female extraembryonic cells C_LI

developmental biology↗

Delineating transcriptomic signatures of in vitro human skeletal musclemodels in comparison to in vivo references

A pivotal question at the heart of stem cell research is how faithful cellular models recapitulate the biology of human tissues. Skeletal muscle is the largest tissue in the human body and has been extensively modelled by various in vitro systems. Here, we sought to delineate the state-of-the-art of in vitro human skeletal muscle models by performing a large-scale analysis of transcriptome datasets, covering more than 400 samples across 39 studies, including bulk and single cell RNA sequencing of 2D and 3D models and their in vivo counterparts. Our analyses highlight common discrepancies between a wide range of cellular models and human skeletal muscle with respect to their myogenic identity, transcription factors, epigenetic complexes, metabolic processes and signaling pathways. Our analyses reveal cellular processes that can be modulated to improve the in vitro models of skeletal muscle, while also paving the way for similar studies for other cell types.

cell biology↗