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VEGF Signaling

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Cover of 'VEGF Signaling'

Table of Contents

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    Book Overview
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    Chapter 1 VEGF Splicing and the Role of VEGF Splice Variants: From Physiological-Pathological Conditions to Specific Pre-mRNA Splicing.
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    Chapter 2 Detection and Quantification of VEGF Isoforms by ELISA
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    Chapter 3 Quantitation of Circulating Neuropilin-1 in Human, Monkey, Mouse, and Rat Sera by ELISA.
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    Chapter 4 Detection and Quantification of Vascular Endothelial Growth Factor Receptor Tyrosine Kinases in Primary Human Endothelial Cells
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    Chapter 5 Induction of VEGF Secretion in Cardiomyocytes by Mechanical Stretch
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    Chapter 6 Chromatin Immunoprecipitation Assay: Examining the Interaction of NFkB with the VEGF Promoter.
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    Chapter 7 An Overview of VEGF-Mediated Signal Transduction
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    Chapter 8 Identification of Receptor Tyrosine Kinase Inhibitors Using Cell Surface Biotinylation and Affinity Isolation
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    Chapter 9 VEGF Signaling
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    Chapter 10 In Vitro Angiogenesis Assays
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    Chapter 11 Chemotactic Migration of Endothelial Cells Towards VEGF-A 165
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    Chapter 12 Vasculogenesis and Angiogenesis in VEGF Receptor-1 Deficient Mice
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    Chapter 13 The Embryonic Mouse Hindbrain and Postnatal Retina as In Vivo Models to Study Angiogenesis
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    Chapter 14 VEGF Gene Transfer to the Utero-Placental Circulation of Pregnant Guinea Pigs to Enhance Fetal Growth
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    Chapter 15 VEGF Gene Transfer to the Utero-Placental Circulation of Pregnant Sheep to Enhance Fetal Growth
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    Chapter 16 Generation of Targeted Mutations in Zebrafish Using the CRISPR/Cas System.
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VEGF Signaling
Published by
Springer New York, August 2015
DOI 10.1007/978-1-4939-2917-7
978-1-4939-2916-0, 978-1-4939-2917-7

Fiedler, Lorna

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Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 13%
Student > Bachelor 3 13%
Researcher 2 9%
Student > Ph. D. Student 2 9%
Professor 2 9%
Other 3 13%
Unknown 8 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 26%
Agricultural and Biological Sciences 3 13%
Medicine and Dentistry 2 9%
Physics and Astronomy 1 4%
Neuroscience 1 4%
Other 0 0%
Unknown 10 43%