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Urine Proteomics in Kidney Disease Biomarker Discovery

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Cover of 'Urine Proteomics in Kidney Disease Biomarker Discovery'

Table of Contents

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    Book Overview
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    Chapter 1 Urine Is a Better Biomarker Source Than Blood Especially for Kidney Diseases
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    Chapter 2 Urine Reflection of Changes in Blood
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    Chapter 3 Urimem Facilitates Kidney Disease Biomarker Research
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    Chapter 4 Human urine proteome: a powerful source for clinical research.
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    Chapter 5 Exosomes in Urine Biomarker Discovery
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    Chapter 6 Urinary Proteins with Post-translational Modifications.
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    Chapter 7 Applications of Peptide retention time in proteomic data analysis.
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    Chapter 8 Urine Sample Preparation in 96-well Filter Plates to Characterize Inflammatory and Infectious Diseases of the Urinary Tract.
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    Chapter 9 Variations of human urinary proteome.
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    Chapter 10 Evolution of the urinary proteome during human renal development and maturation.
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    Chapter 11 Hormone-dependent changes in female urinary proteome.
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    Chapter 12 Effects of exercise on the urinary proteome.
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    Chapter 13 Effects of diuretics on urinary proteins.
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    Chapter 14 Applications of urinary proteomics in renal disease research using animal models.
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    Chapter 15 The application of urinary proteomics for the detection of biomarkers of kidney diseases.
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    Chapter 16 Dynamic changes of urinary proteins in focal segmental glomerulosclerosis model.
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    Chapter 17 Using isolated rat kidney to discover kidney origin biomarkers in urine.
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    Chapter 18 Comparing plasma and urinary proteomes to understand kidney function.
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    Chapter 19 Urinary protein biomarker database: a useful tool for biomarker discovery.
Attention for Chapter 3: Urimem Facilitates Kidney Disease Biomarker Research
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Chapter title
Urimem Facilitates Kidney Disease Biomarker Research
Chapter number 3
Book title
Urine Proteomics in Kidney Disease Biomarker Discovery
Published in
Advances in experimental medicine and biology, January 2015
DOI 10.1007/978-94-017-9523-4_3
Pubmed ID
Book ISBNs
978-9-40-179522-7, 978-9-40-179523-4
Authors

Liu Liu, Lulu Jia, Xuejiao Liu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 50%
Student > Master 1 13%
Other 1 13%
Student > Postgraduate 1 13%
Unknown 1 13%
Readers by discipline Count As %
Medicine and Dentistry 6 75%
Nursing and Health Professions 1 13%
Unknown 1 13%