Publications by authors named "Mary Vergel-Rodriguez"

Article Synopsis
  • Aging affects our immune system because of changes in stem cells that regenerate immune cells.
  • In a study comparing mice with different aging phenotypes, researchers found that certain stem cells in early aging mice showed increased aging-related gene activity, while those in delayed aging mice had genes helping with regulation and external responses.
  • The shifts in blood cell lineage biases among hematopoietic stem cells (HSCs) reveal that targeting specific HSC subsets could be key in developing strategies to delay aging and improve immune function.
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Article Synopsis
  • Individual hematopoietic stem cells (HSCs) show variability in the amount of blood cells they produce when transplanted, prompting research into the link between gene expression and blood production.
  • The study identified four distinct patterns in how genes correlate with blood production levels, with some genes having consistent effects while others peak at specific production levels.
  • Findings suggest that certain genes regulate lymphoid production without influencing myeloid production, revealing complex molecular mechanisms behind blood cell generation in HSCs.
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Article Synopsis
  • * In a study using a Tet2 knockout mouse model, only a small number of hematopoietic stem cells substantially expanded after Tet2 was knocked out, and these cells showed lower expression of leukemia-related genes.
  • * The research found that knocking down an RNA splicing factor, Rbm25, accelerated the growth of Tet2-deficient cells, suggesting that variations in RNA splicing may influence the risk of developing preleukemic conditions.
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After transplantation, hematopoietic stem cells (HSCs) sustain blood cell regeneration throughout the patient's life. Recent studies suggest that several types of mature blood cells provide feedback signals to regulate HSC fate. However, the potential feedback effect of hematopoietic progenitor cells has not been characterized to date.

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Cellular heterogeneity is a major cause of treatment resistance in cancer. Despite recent advances in single-cell genomic and transcriptomic sequencing, it remains difficult to relate measured molecular profiles to the cellular activities underlying cancer. Here, we present an integrated experimental system that connects single cell gene expression to heterogeneous cancer cell growth, metastasis, and treatment response.

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