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Bone Marrow and Stem Cell Transplantation

Overview of attention for book
Cover of 'Bone Marrow and Stem Cell Transplantation'

Table of Contents

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    Book Overview
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    Chapter 1 Reporter Gene Technologies for Imaging Cell Fates in Hematopoiesis
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    Chapter 2 Flow cytometry for hematopoietic cells.
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    Chapter 3 Isolation and Characterization of Mesenchymal Stem Cells
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    Chapter 4 Methods for Functional Analysis of Stem Cells
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    Chapter 5 An Overview of HLA Typing for Hematopoietic Stem Cell Transplantation
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    Chapter 6 HLA Typing with Sequence-Specific Oligonucleotide Primed PCR (PCR-SSO) and Use of the Luminex™ Technology
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    Chapter 7 Sequence-Based Typing of HLA: An Improved Group-Specific Full-Length Gene Sequencing Approach
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    Chapter 8 Molecular Typing Methods for Minor Histocompatibility Antigens
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    Chapter 9 Natural Killer Cells and Killer-Cell Immunoglobulin-Like Receptor Polymorphisms: Their Role in Hematopoietic Stem Cell Transplantation
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    Chapter 10 Methods of Detection of Immune Reconstitution and T Regulatory Cells by Flow Cytometry
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    Chapter 11 Molecular Methods Used for Detection of Minimal Residual Disease Following Hematopoietic Stem Cell Transplantation in Myeloid Disorders
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    Chapter 12 Molecular Methods for Detection of Minimal Residual Disease Following Transplantation in Lymphoid and Plasma Cell Disorders
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    Chapter 13 Molecular Methods for Detection of Invasive Fungal Infections and Mycobacteria and Their Clinical Significance in Hematopoietic Stem Cell Transplantation
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    Chapter 14 Post-transplant Monitoring of Chimerism by Lineage-Specific Analysis
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    Chapter 15 Urinary Proteomics Employing Capillary Electrophoresis Coupled to Mass Spectrometry in the Monitoring of Patients After Stem Cell Transplantation
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    Chapter 16 ERRATUM
Attention for Chapter 15: Urinary Proteomics Employing Capillary Electrophoresis Coupled to Mass Spectrometry in the Monitoring of Patients After Stem Cell Transplantation
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Chapter title
Urinary Proteomics Employing Capillary Electrophoresis Coupled to Mass Spectrometry in the Monitoring of Patients After Stem Cell Transplantation
Chapter number 15
Book title
Bone Marrow and Stem Cell Transplantation
Published in
Methods in molecular biology, December 2013
DOI 10.1007/978-1-4614-9437-9_15
Pubmed ID
24473789
Book ISBNs
978-1-4614-9436-2, 978-1-4614-9437-9
Authors

Weissinger, Eva M., Mullen, William, Albalat, Amaya, Eva M. Weissinger, William Mullen, Amaya Albalat

Editors

Meral Beksaç

Abstract

Complex biological samples hold significant information on the health status and development of disease. Approximately 22,000 human genes give rise to more than 400,000 proteins as functional entities (Anderson and Anderson, Electrophoresis 19:1853-1861, 1998). Thus, the proteome provides a much richer source of information than the genome for describing the state of health or disease of humans. The composition of body fluids comprises a rich source of information on changes of protein and peptide expression. Here we describe the application of capillary electrophoresis (CE) coupled online to an electrospray-ionization time-of-flight mass spectrometer (ESI-TOF-MS) to analyze human urine for the identification of biomarkers specific for complications after allogeneic hematopoietic stem cell transplantation (Kaiser et al. Blood 104:340-349, 2004; Weissinger et al. Blood 109:5511-5519, 2007). In addition, we describe methods for the sequencing of native proteins/peptides, necessary for the identification of possible new therapeutic targets.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 18%
Student > Ph. D. Student 2 18%
Lecturer 1 9%
Student > Bachelor 1 9%
Student > Doctoral Student 1 9%
Other 2 18%
Unknown 2 18%
Readers by discipline Count As %
Medicine and Dentistry 3 27%
Biochemistry, Genetics and Molecular Biology 2 18%
Agricultural and Biological Sciences 1 9%
Nursing and Health Professions 1 9%
Computer Science 1 9%
Other 1 9%
Unknown 2 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 July 2014.
All research outputs
#18,374,472
of 22,758,248 outputs
Outputs from Methods in molecular biology
#7,869
of 13,089 outputs
Outputs of similar age
#230,456
of 306,142 outputs
Outputs of similar age from Methods in molecular biology
#290
of 593 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,089 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% 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 306,142 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 593 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.

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