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Related Concept Videos

Classification of Leukocytes01:30

Classification of Leukocytes

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Leukocytes are classified into two groups based on the presence or absence of cytoplasmic granules. Granular leukocytes, which contain granules, belong to the myeloid lineage and are divided into three subtypes: neutrophils, eosinophils, and basophils. These cells are roughly spherical and characterized by the granules in their cytoplasm.
Neutrophils are the most abundant type of granular leukocytes, comprising 50-70% of all leukocytes. They feature small, evenly distributed granules and a...
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Updated: Sep 12, 2025

ATAC-Seq Library Preparation of Murine Bone Marrow-Derived Neutrophils
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From complexity to consensus: A roadmap for neutrophil classification.

Lai Guan Ng1, Ivan Ballesteros2, Marco A Cassatella3

  • 1School of Medicine, Westlake University, Hangzhou, Zhejiang, China; Shanghai Immune Therapy Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Immunity
|August 5, 2025
PubMed
Summary
This summary is machine-generated.

Neutrophils are diverse immune cells, not uniform. A new framework standardizes classifying neutrophil subpopulations based on maturation, location, and function for clearer research and therapies.

Keywords:
MDSCsTANsconsensus statementneutrophil adaptationneutrophil classification frameworkneutrophil heterogeneityneutrophil maturation

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Area of Science:

  • Immunology
  • Cell Biology
  • Hematology

Background:

  • Neutrophils were once considered a uniform immune cell type.
  • Recent studies reveal significant neutrophil heterogeneity in phenotype and function.
  • Existing classification methods are inconsistent, leading to ambiguous research findings.

Purpose of the Study:

  • To propose a standardized framework for classifying neutrophil heterogeneity.
  • To integrate maturation, tissue localization, and functional adaptations into a unified system.
  • To improve communication and accelerate discoveries in neutrophil biology and therapy development.

Main Methods:

  • Development of a novel classification framework for neutrophil subpopulations.
  • Integration of multi-omic data and advanced imaging techniques (implied).
  • Comparative analysis of existing literature to identify classification gaps.

Main Results:

  • A proposed framework categorizes neutrophils based on maturation stage, tissue site, and functional specialization.
  • The framework aims to resolve ambiguities in current neutrophil subpopulation descriptions.
  • Standardization facilitates comparison across different studies and disease contexts.

Conclusions:

  • A standardized system is crucial for understanding neutrophil heterogeneity.
  • This framework will harmonize research, improve cross-disciplinary communication, and guide therapeutic strategies.
  • Adoption of this system will advance neutrophil biology and targeted treatment development.