Extensive studies have been performed to understand how the mechanical properties of a stem cell's microenvironment influence its behaviors. Supported lipid bilayers (SLBs), a well-known biomimetic platform, have been used to mimic the dynamic characteristics of the extracellular matrix (ECM) because of their fluidity. However, the effect of the fluidity of SLBs on stem cell fate is unknown. We constructed SLBs with different fluidities to explore the influence of fluidity on the differentiation of neural stem cells (NSCs). The results showed that the behavior of NSCs was highly dependent on the fluidity of SLBs. Low fluidity resulted in enhanced focal adhesion formation, a dense network of stress fibers, stretched and elongated cellular morphology and increased neuronal differentiation, while high fluidity led to less focal adhesion formation, immature stress fibers, round cellular morphology and more astrocyte differentiation. Mechanistic studies revealed that low fluidity may have enhanced focal adhesion formation, which activated FAK-MEK/ERK signaling pathways and ultimately promoted neuronal differentiation of NSCs. This work provides a strategy for manipulating the dynamic matrix surface for the development of culture substrates and tissue-engineered scaffolds, which may aid the understanding of how the dynamic ECM influences stem cell behaviors as well as improve the efficacy of stem cell applications.
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http://dx.doi.org/10.1016/j.biomaterials.2018.01.034 | DOI Listing |
J Ovarian Res
January 2025
Reproductive Medicine Center, Department of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Background: Polycystic ovary syndrome (PCOS) is a common endocrine disorder affecting women of reproductive age. It is characterized by symptoms such as hyperandrogenemia, oligo or anovulation and polycystic ovarian, significantly impacting quality of life. However, the practical implementation of machine learning (ML) in PCOS diagnosis is hindered by the limitations related to data size and algorithmic models.
View Article and Find Full Text PDFJ Cell Biol
March 2025
Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China.
Many cancer cells exhibit increased amounts of paucimannose glycans, which are truncated N-glycan structures rarely found in mammals. Paucimannosidic proteins are proposedly generated within lysosomes and exposed on the cell surface through a yet uncertain mechanism. In this study, we revealed that paucimannosidic proteins are produced by lysosomal glycosidases and secreted via lysosomal exocytosis.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Institute of Brain Sciene, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Background: Amyloid-beta (Aβ) deposition is a key pathological characteristic of Alzheimer's disease (AD). Microglia serves as a crucial system responsible for clearing Aβ. Activated microglia migrate towards Aβ deposits, engulf them, and breakdown Aβ through cathepsins within the lysosome.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Suite 523, Bridgeside Point II, 450 Technology Drive, Pittsburgh, PA, 15219, USA.
Overexpression of the myeloid Src-family kinases Fgr and Hck has been linked to the development of acute myeloid leukemia (AML). Here we characterized the contribution of active forms of these kinases to AML cell cytokine dependence, inhibitor sensitivity, and AML cell engraftment in vivo. The human TF-1 erythroleukemia cell line was used as a model system as it does not express endogenous Hck or Fgr.
View Article and Find Full Text PDFInt J Med Sci
January 2025
Department of Urology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518033, China.
Evidence increasingly indicates that HPV infection plays a pivotal role in the initiation and progression of bladder cancer (BC). Yet, determining the predictive value of HPV-associated genes in BC remains challenging. We identified differentially expressed HPV-associated genes of BC patients from the TCGA and GEO databases.
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