Transcriptomic response of bioengineered human cartilage to parabolic flight microgravity is sex-dependent.
Amira AissiouS JhaK DhunnooZ MaDavid Xinzheyang LiR RavinM KunzeK WongAdetola B AdesidaPublished in: NPJ microgravity (2023)
Spaceflight and simulated spaceflight microgravity induced osteoarthritic-like alterations at the transcriptomic and proteomic levels in the articular and meniscal cartilages of rodents. But little is known about the effect of spaceflight or simulated spaceflight microgravity on the transcriptome of tissue-engineered cartilage developed from human cells. In this study, we investigate the effect of simulated spaceflight microgravity facilitated by parabolic flights on tissue-engineered cartilage developed from in vitro chondrogenesis of human bone marrow mesenchymal stem cells obtained from age-matched female and male donors. The successful induction of cartilage-like tissue was confirmed by the expression of well-demonstrated chondrogenic markers. Our bulk transcriptome data via RNA sequencing demonstrated that parabolic flight altered mostly fundamental biological processes, and the modulation of the transcriptome profile showed sex-dependent differences. The secretome profile analysis revealed that two genes (WNT7B and WNT9A) from the Wnt-signaling pathway, which is implicated in osteoarthritis development, were only up-regulated for female donors. The results of this study showed that the engineered cartilage tissues responded to microgravity in a sex-dependent manner, and the reported data offers a strong foundation to further explore the underlying mechanisms.
Keyphrases
- single cell
- rna seq
- genome wide
- extracellular matrix
- gene expression
- endothelial cells
- stem cells
- signaling pathway
- cell proliferation
- poor prognosis
- mesenchymal stem cells
- electronic health record
- rheumatoid arthritis
- machine learning
- epithelial mesenchymal transition
- transcription factor
- kidney transplantation
- knee osteoarthritis
- binding protein
- diabetic rats
- artificial intelligence
- deep learning
- bioinformatics analysis