Publications by authors named "L Ikonomou"

Article Synopsis
  • - The study focuses on creating mature thyroid follicular cells (TFCs) from human induced pluripotent stem cells (iPSCs) to address hypothyroidism, whether from surgeries or congenital issues.
  • - Researchers developed a new iPSC line that helps identify TFCs and optimized a serum-free media process where factors like BMP4 and FGF2 are crucial for guiding cell differentiation into TFCs.
  • - Although the resulting TFCs showed proper development and function in lab tests, they were ineffective in treating hypothyroidism when transplanted into mice with the condition.
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Article Synopsis
  • The rise of businesses marketing unproven stem cell therapies directly to consumers poses challenges for effective government regulation in the health market.
  • Recent examples from Australia and Canada show that these regulatory bodies can successfully implement targeted actions to address these issues.
  • The findings suggest that fears about the inability to regulate this market may be overstated.
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Repair and regeneration of a diseased lung using stem cells or bioengineered tissues is an exciting therapeutic approach for a variety of lung diseases and critical illnesses. Over the past decade, increasing evidence from preclinical models suggests that mesenchymal stromal cells, which are not normally resident in the lung, can be used to modulate immune responses after injury, but there have been challenges in translating these promising findings to the clinic. In parallel, there has been a surge in bioengineering studies investigating the use of artificial and acellular lung matrices as scaffolds for three-dimensional lung or airway regeneration, with some recent attempts of transplantation in large animal models.

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Advances in single-cell RNA sequencing provide an unprecedented window into cellular identity. The abundance of data requires new theoretical and computational frameworks to analyze the dynamics of differentiation and integrate knowledge from cell atlases. We present 'single-cell Type Order Parameters' (scTOP): a statistical, physics-inspired approach for quantifying cell identity given a reference basis of cell types.

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