Publications by authors named "D Karigane"

Genetic mutations are being thoroughly mapped in human cancers, yet a fundamental question in cancer biology is whether such mutations are functionally required for cancer initiation, maintenance of established cancer, or both. Here, we study this question in the context of human acute myeloid leukemia (AML), where missense mutations often arise early, in pre-leukemic clonal hematopoiesis, and corrupt the DNA methylation landscape to initiate leukemia. We developed CRISPR-based methods to directly correct mutations in leukemic cells obtained from patients.

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Article Synopsis
  • Aging affects stem cells, leading to decreased function and impacting tissue health, but hematopoietic stem cells (HSCs) develop a resilience that helps them survive.* -
  • Old HSCs shift their metabolism by activating the pentose phosphate pathway, allowing them to resist oxidative stress and operate independently of glycolysis.* -
  • The study reveals that old HSCs enhance energy production through mitochondrial changes, aided by increased levels of a specific factor (SDHAF1), improving their survival during stress and addressing age-related blood cell formation issues.*
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Hematopoietic multipotent progenitors (MPPs) regulate blood cell production to appropriately meet the biological demands of the human body. Human MPPs remain ill-defined whereas mouse MPPs have been well characterized with distinct immunophenotypes and lineage potencies. Using multiomic single cell analyses and complementary functional assays, we identified new human MPPs and oligopotent progenitor populations within Lin-CD34+CD38dim/lo adult bone marrow with distinct biomolecular and functional properties.

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CRISPR-Cas9 paired with adeno-associated virus serotype 6 (AAV6) is among the most efficient tools for producing targeted gene knockins. Here, we report that this system can lead to frequent concatemeric insertions of the viral vector genome at the target site that are difficult to detect. Such errors can cause adverse and unreliable phenotypes that are antithetical to the goal of precision genome engineering.

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