↓ Skip to main content

Platelets and Megakaryocytes

Overview of attention for book
Cover of 'Platelets and Megakaryocytes'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Immobilization of Nonactivated Unfixed Platelets for Real-Time Single-Cell Analysis
  3. Altmetric Badge
    Chapter 2 Imaging Platelets and Megakaryocytes by High-Resolution Laser Fluorescence Microscopy
  4. Altmetric Badge
    Chapter 3 Single-Molecule Localization and Structured Illumination Microscopy of Platelet Proteins
  5. Altmetric Badge
    Chapter 4 Electron Tomography and Correlative Approaches in Platelet Studies
  6. Altmetric Badge
    Chapter 5 Screening and High-Throughput Platelet Assays
  7. Altmetric Badge
    Chapter 6 High-Throughput Signaling Profiling in Blood Platelets by Multiplexed Phosphoflow Cytometry
  8. Altmetric Badge
    Chapter 7 Precise Quantification of Platelet Proteins and Their Phosphorylation States
  9. Altmetric Badge
    Chapter 8 The Study of Platelet Receptors Using Artificial Lipid Bilayers
  10. Altmetric Badge
    Chapter 9 Three-Dimensional Culture in a Methylcellulose-Based Hydrogel to Study the Impact of Stiffness on Megakaryocyte Differentiation
  11. Altmetric Badge
    Chapter 10 Differentiation of Human Pluripotent Stem Cells to Megakaryocytes by Transcription Factor-Driven Forward Programming
  12. Altmetric Badge
    Chapter 11 Three-Dimensional Tissue Models for Studying Ex Vivo Megakaryocytopoiesis and Platelet Production
  13. Altmetric Badge
    Chapter 12 Fluorescence Approaches to Image and Quantify the Demarcation Membrane System in Living Megakaryocytes
  14. Altmetric Badge
    Chapter 13 High-Resolution 3D Imaging of Megakaryocytes Using Focused Ion Beam-Scanning Electron Microscopy
  15. Altmetric Badge
    Chapter 14 Optical Clearing of Murine Bones to Study Megakaryocytes in Intact Bone Marrow Using Light-Sheet Fluorescence Microscopy
  16. Altmetric Badge
    Chapter 15 Mathematical Techniques for Understanding Platelet Regulation and the Development of New Pharmacological Approaches
Attention for Chapter 15: Mathematical Techniques for Understanding Platelet Regulation and the Development of New Pharmacological Approaches
Altmetric Badge

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
13 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Mathematical Techniques for Understanding Platelet Regulation and the Development of New Pharmacological Approaches
Chapter number 15
Book title
Platelets and Megakaryocytes
Published in
Methods in molecular biology, September 2018
DOI 10.1007/978-1-4939-8585-2_15
Pubmed ID
Book ISBNs
978-1-4939-8584-5, 978-1-4939-8585-2
Authors

Joanna L. Dunster, Mikhail A. Panteleev, Jonathan M. Gibbins, Anastacia N. Sveshnikova

Abstract

Mathematical and computational modeling is currently in the process of becoming an accepted tool in the arsenal of methods utilized for the investigation of complex biological systems. For some problems in the field, like cellular metabolic regulation, neural impulse propagation, or cell cycle, progress is already unthinkable without use of such methods. Mathematical models of platelet signaling, function, and metabolism during the last years have not only been steadily increasing in their number, but have also been providing more in-depth insights, generating hypotheses, and allowing predictions to be made leading to new experimental designs and data. Here we describe the basic approaches to platelet mathematical model development and validation, highlighting the challenges involved. We then review the current theoretical models in the literature and how these are being utilized to increase our understanding of these complex cells.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 15%
Student > Master 2 15%
Student > Bachelor 1 8%
Professor 1 8%
Researcher 1 8%
Other 2 15%
Unknown 4 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 15%
Agricultural and Biological Sciences 2 15%
Business, Management and Accounting 1 8%
Psychology 1 8%
Medicine and Dentistry 1 8%
Other 1 8%
Unknown 5 38%