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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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Lineage Commitment01:21

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Commitment is the  process whereby stem cells:
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Regulation of Hematopoietic Stem Cells01:01

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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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Related Experiment Video

Updated: Nov 22, 2025

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
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Integrated decoding hematopoiesis and leukemogenesis using single-cell sequencing and its medical implication.

Pengfei Qin1, Yakun Pang2,3, Wenhong Hou1

  • 1Department of Biology, Southern University of Science and Technology, Shenzhen, Guangdong, China.

Cell Discovery
|January 7, 2021
PubMed
Summary

This study integrates single-cell RNA sequencing of hematopoiesis and leukemia to understand leukemogenesis. A new tool, Counterpart Composite Index (CCI), identifies healthy cell counterparts for leukemia subpopulations, revealing insights into disease heterogeneity and treatment dynamics.

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Area of Science:

  • Hematology
  • Oncology
  • Computational Biology

Background:

  • Understanding leukemogenesis is challenging due to high individual variability in patients.
  • Single-cell RNA sequencing offers a powerful approach to study complex biological processes like hematopoiesis.
  • Integrating hematopoiesis and leukemogenesis data can provide novel insights into leukemia development.

Purpose of the Study:

  • To develop a unified framework for analyzing leukemogenesis by integrating hematopoiesis and leukemia single-cell transcriptomic data.
  • To identify healthy hematopoietic counterparts for leukemia cell subpopulations using a novel computational tool.
  • To investigate the cellular dynamics and heterogeneity of leukemia during different disease states and treatment responses.

Main Methods:

  • Analysis of approximately 200,000 single-cell transcriptomes from bone marrow mononuclear cells (BMMCs) of 23 clinical samples.
  • Construction of a comprehensive hematopoietic cell atlas to serve as a reference.
  • Development and application of the Counterpart Composite Index (CCI) tool to map leukemia cells onto the healthy reference atlas.

Main Results:

  • Identified distinct healthy hematopoietic counterparts for leukemia cell subpopulations within each patient.
  • Demonstrated that leukemia cell subpopulation trajectories mirror those of their healthy counterparts, explaining leukemia heterogeneity.
  • CCI successfully predicted leukemia subtypes, cellular heterogeneity, and stemness, and revealed dynamic cell population changes during treatment and relapse.

Conclusions:

  • The study presents a novel framework for understanding leukemogenesis by leveraging a hematopoiesis reference atlas.
  • The Counterpart Composite Index (CCI) provides a powerful tool for dissecting leukemia heterogeneity and predicting clinical outcomes.
  • Findings offer significant biological and medical implications for leukemia research and treatment strategies.