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Flow Cytometry Protocols

Overview of attention for book
Cover of 'Flow Cytometry Protocols'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Flow Cytometry: The Glass Is Half Full
  3. Altmetric Badge
    Chapter 2 High-Dimensional Modeling for Cytometry: Building Rock Solid Models Using GemStone™ and Verity Cen-se’™ High-Definition t-SNE Mapping
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    Chapter 3 Mass Cytometry Assays for Antigen-Specific T Cells Using CyTOF
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    Chapter 4 RNA Flow Cytometry Using the Branched DNA Technique
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    Chapter 5 Analysis of Individual Extracellular Vesicles by Flow Cytometry
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    Chapter 6 Quantitative Fluorescence Measurements with Multicolor Flow Cytometry
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    Chapter 7 High Throughput Flow Cytometry for Cell Surface Profiling
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    Chapter 8 Multiparameter Conventional Flow Cytometry
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    Chapter 9 Multiparameter Intracellular Cytokine Staining
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    Chapter 10 Multiparametric Analysis of Apoptosis by Flow Cytometry
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    Chapter 11 Multiparameter Cell Cycle Analysis
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    Chapter 12 Monitoring Cell Proliferation by Dye Dilution: Considerations for Probe Selection
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    Chapter 13 Immunophenotypic Identification of Early Myeloerythroid Development
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    Chapter 14 Flow Cytometry Assays in Primary Immunodeficiency Diseases
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    Chapter 15 Real-Time Deformability Cytometry: Label-Free Functional Characterization of Cells
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    Chapter 16 Nuclear Cytometry: Analysis of the Patterns of DNA Synthesis and Transcription Using Flow Cytometry, Confocal Microscopy, and RNA Sequencing
  18. Altmetric Badge
    Chapter 17 Flow Cytometric FRET Analysis of Protein Interactions
  19. Altmetric Badge
    Chapter 18 Overview of Fluorescence Lifetime Measurements in Flow Cytometry
  20. Altmetric Badge
    Chapter 19 Overview of Lasers for Flow Cytometry
  21. Altmetric Badge
    Chapter 20 Flow Cytometry: The Glass Is Half Empty
Attention for Chapter 13: Immunophenotypic Identification of Early Myeloerythroid Development
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Chapter title
Immunophenotypic Identification of Early Myeloerythroid Development
Chapter number 13
Book title
Flow Cytometry Protocols
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7346-0_13
Pubmed ID
Book ISBNs
978-1-4939-7344-6, 978-1-4939-7346-0
Authors

Cornelis J. H. Pronk, David Bryder

Abstract

Myeloerythroid-restricted precursor cells, derived from multipotent hematopoietic stem cells, give rise to mature cells of the granulocyte, monocyte, erythroid, and/or thrombocytic lineages. High-resolution profiling of the developmental stages, from hematopoietic stem cells to mature progeny, is important to be able to study and understand the underlying mechanisms that guide various cell fate decisions. Also, this approach opens for greater insights into pathogenic events such as leukemia, diseases that are most often characterized by halted differentiation at defined immature precursor levels. In this chapter, we provide protocols and discuss approaches concerning the analysis and purification of immature myeloerythroid lineages by multiparameter flow cytometry. A wealth of literature has demonstrated the feasibility of similar approaches also for the human system. However, in this chapter, we focus on the identification of bone marrow cells derived from C57BL/6 mice, in which flow cytometry-based immunophenotypic applications have been most widely developed. This should allow also for its application in genetically modified models on this background. For maximal reproducibility, all protocols described have been established using reagents from commercial vendors to be analyzed on a flow cytometer with factory standard configuration.

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 43%
Student > Bachelor 1 14%
Student > Postgraduate 1 14%
Unknown 2 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 29%
Biochemistry, Genetics and Molecular Biology 1 14%
Nursing and Health Professions 1 14%
Immunology and Microbiology 1 14%
Unknown 2 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 October 2017.
All research outputs
#14,957,541
of 23,006,268 outputs
Outputs from Methods in molecular biology
#4,728
of 13,159 outputs
Outputs of similar age
#255,656
of 442,258 outputs
Outputs of similar age from Methods in molecular biology
#508
of 1,498 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,159 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 59% of its peers.
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We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.