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Cardiac Extracellular Matrix

Overview of attention for book
Attention for Chapter 4: Applications of Cardiac Extracellular Matrix in Tissue Engineering and Regenerative Medicine
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Chapter title
Applications of Cardiac Extracellular Matrix in Tissue Engineering and Regenerative Medicine
Chapter number 4
Book title
Cardiac Extracellular Matrix
Published in
Advances in experimental medicine and biology, September 2018
DOI 10.1007/978-3-319-97421-7_4
Pubmed ID
Book ISBNs
978-3-31-997420-0, 978-3-31-997421-7
Authors

Mark C. Daley, Spencer L. Fenn, Lauren D. Black, Daley, Mark C., Fenn, Spencer L., Black, Lauren D.

Abstract

The role of the cardiac extracellular matrix (cECM) in providing biophysical and biochemical cues to the cells housed within during disease and development has become increasingly apparent. These signals have been shown to influence many fundamental cardiac cell behaviors including contractility, proliferation, migration, and differentiation. Consequently, alterations to cell phenotype result in directed remodeling of the cECM. This bidirectional communication means that the cECM can be envisioned as a medium for information storage. As a result, the reprogramming of the cECM is increasingly being employed in tissue engineering and regenerative medicine as a method with which to treat disease. In this chapter, an overview of the composition and structure of the cECM as well as its role in cardiac development and disease will be provided. Additionally, therapeutic modulation of cECM for cardiac regeneration as well as bottom-up and top-down approaches to ECM-based cardiac tissue engineering is discussed. Finally, lingering questions regarding the role of cECM in tissue engineering and regenerative medicine are offered as a catalyst for future research.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 21%
Student > Bachelor 6 14%
Researcher 4 9%
Other 3 7%
Student > Master 3 7%
Other 4 9%
Unknown 14 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 16%
Engineering 7 16%
Medicine and Dentistry 3 7%
Agricultural and Biological Sciences 2 5%
Computer Science 1 2%
Other 5 12%
Unknown 18 42%