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Related Experiment Video

Updated: May 16, 2026

Flow Cytometry to Estimate Leukemia Stem Cells in Primary Acute Myeloid Leukemia and in Patient-derived-xenografts, at Diagnosis and Follow Up
09:01

Flow Cytometry to Estimate Leukemia Stem Cells in Primary Acute Myeloid Leukemia and in Patient-derived-xenografts, at Diagnosis and Follow Up

Published on: March 26, 2018

A proteomics and transcriptomics approach to identify leukemic stem cell (LSC) markers.

Francesco Bonardi1, Fabrizia Fusetti, Patrick Deelen

  • 1Department of Experimental Hematology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen, The Netherlands.

Molecular & Cellular Proteomics : MCP
|December 13, 2012
PubMed
Summary
This summary is machine-generated.

This study analyzed plasma membrane proteins in acute myeloid leukemia (AML) stem cells. Researchers identified distinct protein profiles, revealing eight AML subgroups with unique cellular processes.

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Comprehensive Protocol to Sample and Process Bone Marrow for Measuring Measurable Residual Disease and Leukemic Stem Cells in Acute Myeloid Leukemia
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Comprehensive Protocol to Sample and Process Bone Marrow for Measuring Measurable Residual Disease and Leukemic Stem Cells in Acute Myeloid Leukemia

Published on: March 5, 2018

Area of Science:

  • Hematology
  • Oncology
  • Proteomics

Background:

  • Hematopoietic stem cell (HSC) niche interactions are crucial for HSC fate.
  • Altered HSC-niche interactions are implicated in acute myeloid leukemia (AML) development.

Purpose of the Study:

  • To analyze the plasma membrane (PM) proteome of acute myeloid leukemia (AML) patient samples.
  • To identify novel protein markers associated with leukemic stem cells (LSCs) and classify AML subtypes.

Main Methods:

  • Nano-liquid chromatography coupled with tandem mass spectrometry (nano-LC/MS/MS) for PM protein profiling.
  • Flow cytometry and functional studies for validation.
  • Combined proteomics and transcriptomics on AML and normal bone marrow CD34(+) cells.

Main Results:

  • Identified 867 and 610 unique CD34(+) PM proteins in two AML samples, including known and novel proteins (e.g., ITGA6, MET).
  • Validated that long-term self-renewing LSCs are enriched in the CD34(+)/ITGA6(+) fraction in a subset of AML.
  • Discovered eight AML subgroups based on distinct PM expression profiles, each enriched for specific cellular processes.

Conclusions:

  • Plasma membrane proteomic profiling can effectively classify AML into distinct subgroups.
  • Novel PM proteins like ITGA6 may play a role in LSC function and could serve as therapeutic targets.