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Related Concept Videos

Hematopoiesis01:21

Hematopoiesis

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The process of blood cell formation is called hematopoiesis. Hematopoiesis starts early during development, on the seventh day of embryogenesis. This phase of hematopoiesis is called the primitive wave, wherein the extraembryonic yolk sac allows the production of erythroid cells and endothelial cells from a common precursor called hemangioblast. The erythroid cells provide oxygen to support the growth of the rapidly dividing embryo. Hemangioblasts later develop into hematopoietic stem cells or...
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Overview of Hematopoiesis01:20

Overview of Hematopoiesis

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Hematopoiesis, or blood cell production, is a vital biological process that begins early in embryonic development and continues throughout life. This process generates the various types of cells found in blood, including red blood cells, white blood cells, and platelets from hematopoietic stem cells (HSCs).
Developmental Phases of Hematopoiesis
Initially, HSCs are formed in the embryonic yolk sac, a critical site for early blood cell production. These stem cells subsequently migrate to other...
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Regulation of Hematopoietic Stem Cells01:01

Regulation of Hematopoietic Stem Cells

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All blood and immune cells are produced from the multipotent hematopoietic stem cells (HSCs) by the process of hematopoiesis. However, they all have a limited life span. In addition, many are depleted in immune surveillance or combatting an injury or infection. This makes blood one of the most regenerative tissues. Hematopoiesis helps replenish these blood and immune cells, restoring the body's normal functioning. However, overproduction of blood and immune cells can make them cancerous or...
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Multipotency of Hematopoietic Stem Cells01:19

Multipotency of Hematopoietic Stem Cells

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The hematopoietic stem cells or HSCs are multipotent, meaning they can differentiate and give rise to all blood and immune cells. HSCs are maintained in the quiescent stage until an external stimulus initiates their differentiation. The multipotent HSCs exist as two heterogeneous populations, long-term repopulating cells (LTRC) and short-term repopulating cells (STRC). The two HSC populations have different surface markers or receptors and are classified based on quiescence and long-term...
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Lineage Commitment01:21

Lineage Commitment

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Commitment is the  process whereby stem cells:
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Production of Formed Elements01:34

Production of Formed Elements

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Hemangioblasts are multipotent stem cells originating from the mesoderm. They give rise to hematopoietic stem cells (HSCs), which undergo hematopoiesis to produce all the formed elements of blood. This process is regulated by a complex network of hematopoietic growth factors, including transcription factors, growth factors, and cytokines. These factors stimulate the HSCs to divide and differentiate, though some HSCs remain undifferentiated to maintain a self-renewing pool.
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Modeling the evolutionary dynamics of clonal hematopoiesis.

Sadegh Marzban1, Thomas Stiehl2,3, Zhuoer Xie4

  • 1Integrated Mathematical Oncology, Moffitt Cancer Center and Research Institute, Tampa, FL, USA.

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Summary

Clonal hematopoiesis (CH), driven by mutations in blood stem cells, increases risks for heart disease and cancer. Mathematical models are crucial for understanding CH progression and improving patient care.

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Area of Science:

  • Hematology
  • Genetics
  • Computational Biology

Background:

  • Clonal hematopoiesis (CH) arises from somatic mutations in hematopoietic stem and progenitor cells.
  • CH is linked to age-related conditions like cardiovascular disease, myeloid neoplasms, and cancer therapy complications.
  • Chemotherapy and radiation can accelerate CH, increasing risks of cardiotoxicity and therapy-related myeloid neoplasms.

Purpose of the Study:

  • To review human CH dynamics and the role of mathematical modeling.
  • To compare models predicting CH progression and assess their assumptions.
  • To discuss clinical management implications for individuals with CH.

Main Methods:

  • Literature review of CH dynamics in humans.
  • Comparison of mathematical modeling approaches for CH progression.
  • Assessment of model assumptions and clinical validity.

Main Results:

  • Long-term CH expansion dynamics in humans are not well understood.
  • Mathematical modeling is vital for characterizing CH evolution, clone fitness, and stem cell dynamics.
  • Integrated longitudinal data and mathematical prediction are needed for patient-level forecasting.

Conclusions:

  • Understanding CH dynamics is critical for clinical management.
  • Mathematical models offer essential tools for predicting CH progression and patient outcomes.
  • Further research integrating data and modeling is needed to refine clinical strategies for CH patients.