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A Systems Biology Approach to Blood

Overview of attention for book
Cover of 'A Systems Biology Approach to Blood'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Systems Hematology: An Introduction.
  3. Altmetric Badge
    Chapter 2 Quantification and Modeling of Stem Cell–Niche Interaction
  4. Altmetric Badge
    Chapter 3 Erythropoiesis: From Molecular Pathways to System Properties.
  5. Altmetric Badge
    Chapter 4 Systems Biology of Megakaryocytes.
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    Chapter 5 Systems Biology of Platelet–Vessel Wall Interactions
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    Chapter 6 Systems Approach to Phagocyte Production and Activation: Neutrophils and Monocytes.
  8. Altmetric Badge
    Chapter 7 A Systems Biology Approach to Blood
  9. Altmetric Badge
    Chapter 8 Systems Analysis of High-Throughput Data.
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    Chapter 9 Developing a Systems-Based Understanding of Hematopoietic Stem Cell Cycle Control
  11. Altmetric Badge
    Chapter 10 A Systems Biology Approach to Iron Metabolism.
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    Chapter 11 Innate Immunity in Disease: Insights from Mathematical Modeling and Analysis.
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    Chapter 12 Modeling Biomolecular Site Dynamics in Immunoreceptor Signaling Systems.
  14. Altmetric Badge
    Chapter 13 Structure and Function of Platelet Receptors Initiating Blood Clotting
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    Chapter 14 Understanding and Treating Cytopenia Through Mathematical Modeling
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    Chapter 15 Drug Resistance
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    Chapter 16 Etiology and Treatment of Hematological Neoplasms: Stochastic Mathematical Models.
  18. Altmetric Badge
    Chapter 17 Assessing Hematopoietic (Stem-) Cell Behavior During Regenerative Pressure
  19. Altmetric Badge
    Chapter 18 Engineered Cell-Based Therapies: A Vanguard of Design-Driven Medicine.
  20. Altmetric Badge
    Chapter 19 A Systems Approach to Blood Disorders
Attention for Chapter 4: Systems Biology of Megakaryocytes.
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Chapter title
Systems Biology of Megakaryocytes.
Chapter number 4
Book title
A Systems Biology Approach to Blood
Published in
Advances in experimental medicine and biology, January 2014
DOI 10.1007/978-1-4939-2095-2_4
Pubmed ID
Book ISBNs
978-1-4939-2094-5, 978-1-4939-2095-2
Authors

Alexis Kaushansky, Kenneth Kaushansky

Abstract

The molecular pathways that regulate megakaryocyte production have historically been identified through multiple candidate gene approaches. Several transcription factors critical for generating megakaryocytes were identified by promoter analysis of megakaryocyte-specific genes, and their biological roles then verified by gene knockout studies; for example, GATA-1, NF-E2, and RUNX1 were identified in this way. In contrast, other transcription factors important for megakaryopoiesis were discovered through a systems approach; for example, c-Myb was found to be critical for the erythroid versus megakaryocyte lineage decision by genome-wide loss-of-function studies. The regulation of the levels of these transcription factors is, for the most part, cell intrinsic, although that assumption has recently been challenged. Epigenetics also impacts megakaryocyte gene expression, mediated by histone acetylation and methylation. Several cytokines have been identified to regulate megakaryocyte survival, proliferation, and differentiation, most prominent of which is thrombopoietin. Upon binding to its receptor, the product of the c-Mpl proto-oncogene, thrombopoietin induces a conformational change that activates a number of secondary messengers that promote cell survival, proliferation, and differentiation, and down-modulate receptor signaling. Among the best studied are the signal transducers and activators of transcription (STAT) proteins; phosphoinositol-3-kinase; mitogen-activated protein kinases; the phosphatases PTEN, SHP1, SHP2, and SHIP1; and the suppressors of cytokine signaling (SOCS) proteins. Additional signals activated by these secondary mediators include mammalian target of rapamycin; β(beta)-catenin; the G proteins Rac1, Rho, and CDC42; several transcription factors, including hypoxia-inducible factor 1α(alpha), the homeobox-containing proteins HOXB4 and HOXA9, and a number of signaling mediators that are reduced, including glycogen synthase kinase 3α(alpha) and the FOXO3 family of forkhead proteins. More recently, systematic interrogation of several aspects of megakaryocyte formation have been conducted, employing genomics, proteomics, and chromatin immunoprecipitation (ChIP) analyses, among others, and have yielded many previously unappreciated signaling mechanisms that regulate megakaryocyte lineage determination, proliferation, and differentiation. This chapter focuses on these pathways in normal and neoplastic megakaryopoiesis, and suggests areas that are ripe for further study.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
Luxembourg 1 5%
Unknown 17 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 37%
Student > Ph. D. Student 2 11%
Student > Master 2 11%
Student > Bachelor 1 5%
Unspecified 1 5%
Other 1 5%
Unknown 5 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 26%
Agricultural and Biological Sciences 4 21%
Medicine and Dentistry 3 16%
Computer Science 1 5%
Unspecified 1 5%
Other 0 0%
Unknown 5 26%
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 07 December 2014.
All research outputs
#14,791,252
of 22,772,779 outputs
Outputs from Advances in experimental medicine and biology
#2,258
of 4,930 outputs
Outputs of similar age
#183,146
of 305,323 outputs
Outputs of similar age from Advances in experimental medicine and biology
#72
of 138 outputs
Altmetric has tracked 22,772,779 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 4,930 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 305,323 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.