Neutrophil-lineage Analysis
Neutrophil-lineage Analysis - Related Videos
08:09
Preparation of Whole Bone Marrow for Mass Cytometry Analysis of Neutrophil-lineage Cells
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Cited by 14 •
2019
Here, we present a protocol to process fresh bone marrow (BM) isolated from mouse or human for high-dimensional mass cytometry (Cytometry by Time-Of-Flight, CyTOF) analysis of neutrophil-lineage cells.
07:21
An All-on-chip Method for Rapid Neutrophil Chemotaxis Analysis Directly from a Drop of Blood
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Cited by 11 •
2017
This article provides the detailed method of performing a rapid neutrophil chemotaxis assay by integrating the on-chip neutrophil isolation from whole blood and the chemotaxis test on a single microfluidic chip.
03:54
A Microfluidic Chip-Based Method for Rapid Neutrophil Chemotaxis Analysis Using Whole Blood
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2025
This video demonstrates neutrophil chemotaxis assay using an all-on-chip method. The method allows direct isolation of neutrophils from the whole blood by immunomagnetic negative selection followed by chemotaxis assay on a microfluidic chip.
04:32
Induction and Visualization of Neutrophil Extracellular Traps in Pre-Labeled Neutrophils
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2025
This video demonstrates the induction and visualization of neutrophil extracellular traps or NETs in pre-labeled neutrophils using patient serum containing anti-neutrophil cytoplasmic antibodies. Furthermore, using an impermeable DNA dye and fluorescence microscopy enables the visualization of NETs.
14:04
Neutrophil Isolation and Analysis to Determine their Role in Lymphoma Cell Sensitivity to Therapeutic Agents
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Cited by 11 •
2016
Neutrophils are the most abundant type of white blood cells. The isolation of neutrophils from human blood by density gradient separation method and the differentiation of human promyelocytic (HL60) cells along the granulocytic pathway are described here; to test their role on sensitivity of lymphoma cells to anti-lymphoma agents.
FAQs
It compares neutrophil developmental stages and cellular identities using complementary evidence rather than relying on morphology alone. Cellular appearance can be evaluated alongside surface-marker patterns, gene-expression measurements, and functional characteristics. Agreement among these readouts helps researchers assign lineage states and examine whether populations differ in maturation, identity, or activity within tissues and tumors.
Local signals can alter how neutrophil populations mature, function, and adapt after entering a tumor microenvironment. Consequently, a population’s state may reflect both its developmental history and the conditions surrounding it in the tissue. Examining these changes helps connect neutrophil-lineage profiles with tumor-associated inflammation, immune suppression, angiogenesis, and metastasis.
Each measurement captures a different aspect of neutrophil biology. Morphology provides information about cellular appearance, whereas surface markers and gene-expression profiles help characterize identity and developmental state; functional measurements indicate activity. Combining these dimensions reduces reliance on any single feature and supports a more informative comparison of neutrophil populations across tissues or tumor conditions.
A typical workflow begins by examining neutrophil populations in the relevant tissue, including tumors, and identifying their developmental stages or lineage states. Researchers then combine morphological assessment with surface-marker, gene-expression, or functional measurements. Comparing the resulting profiles across populations or conditions can reveal maturation patterns and changes associated with local tissue signals.
Researchers may apply it when they need to define how neutrophil populations enter tumors, identify how those cells adapt locally, or relate their states to tumor biology. The analysis can also support biomarker development by generating distinguishable population profiles. In therapeutic studies, it helps assess whether an intervention changes myeloid-cell behavior within the tumor context.
The resulting profiles can show how neutrophil populations are distributed across developmental or functional states and how those states change in tumors. These findings help investigate links between neutrophils and inflammation, immune suppression, angiogenesis, or metastasis. They also provide a framework for evaluating tumor biology, developing biomarkers, and assessing therapies that alter myeloid-cell behavior.