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Arthritis Research

Overview of attention for book
Cover of 'Arthritis Research'

Table of Contents

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    Book Overview
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    Chapter 1 Intravital Multiphoton Microscopy for Dissecting Cellular Dynamics in Arthritic Inflammation and Bone Destruction
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    Chapter 2 Monitoring multifunctionality of immune-exhausted CD8 T cells in cancer patients.
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    Chapter 3 Characterization of innate immune signalings stimulated by ligands for pattern recognition receptors.
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    Chapter 4 Principles for the Use of In Vivo Transgene Techniques: Overview and an Introductory Practical Guide for the Selection of Tetracycline-Controlled Transgenic Mice
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    Chapter 5 Unraveling Autoimmunity with the Adoptive Transfer of T Cells from TCR-Transgenic Mice
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    Chapter 6 In Vivo Cell Transfer Assay to Detect Autoreactive T Cell Subsets
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    Chapter 7 Characterization of MicroRNAs and Their Targets
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    Chapter 8 Studies on the T Cell Receptor (TCR) Revision of Autoantibody-Inducing CD4 T ( ai CD4 T) Cell
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    Chapter 9 Basic Techniques for Studies of iNKT Cells and MAIT Cells.
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    Chapter 10 Induction of De Novo Autoimmune Disease in Normal Mice upon Repeated Immunization with Antigen
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    Chapter 11 Mouse Model of Experimental Dermal Fibrosis: The Bleomycin-Induced Dermal Fibrosis
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    Chapter 12 Screening for Novel Serum Biomarker for Monitoring Disease Activity in Rheumatoid Arthritis Using iTRAQ Technology-Based Quantitative Proteomic Approach.
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    Chapter 13 Genome-Wide Genetic Study in Autoimmune Disease-Prone Mice
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    Chapter 14 Bayesian Systems-Based Genetic Association Analysis with Effect Strength Estimation and Omic Wide Interpretation: A Case Study in Rheumatoid Arthritis
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    Chapter 15 Sample Processing, Protocol, and Statistical Analysis of the Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS) of Protein, Cell, and Tissue Samples
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    Chapter 16 Label-Free Imaging of Adipogenesis by Coherent Anti-Stokes Raman Scattering Microscopy
Attention for Chapter 12: Screening for Novel Serum Biomarker for Monitoring Disease Activity in Rheumatoid Arthritis Using iTRAQ Technology-Based Quantitative Proteomic Approach.
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Chapter title
Screening for Novel Serum Biomarker for Monitoring Disease Activity in Rheumatoid Arthritis Using iTRAQ Technology-Based Quantitative Proteomic Approach.
Chapter number 12
Book title
Arthritis Research
Published in
Methods in molecular biology, April 2014
DOI 10.1007/978-1-4939-0404-4_12
Pubmed ID
24706280
Book ISBNs
978-1-4939-0403-7, 978-1-4939-0404-4
Authors

Serada S, Naka T, Satoshi Serada, Tetsuji Naka, Serada, Satoshi, Naka, Tetsuji

Abstract

Useful biomarkers, which enable the prediction of drug susceptibility, identification of side effects, and/or evaluation of disease activity during drug treatment, are urgently needed to select adequate drugs for patients. Gene mutation status, protein expression levels in a biopsy, and serum proteins are often used as biomarkers. One of the methods to screen for protein biomarkers involves quantitative proteomic approaches using mass spectrometry. Owing to the development of quantitative proteomic approaches, the efficiency of identifying novel biomarkers from clinical samples has improved. In particular, isobaric tag for relative and absolute quantitation technology, which enables relative comparative analysis of up to eight samples, enables high-throughput analysis of screening for biomarkers at the protein level. Here, we describe the identification of a novel biomarker, which is useful for the evaluation of disease activity in patients with rheumatoid arthritis who were treated with anti-TNF-α therapy.

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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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 13%
Student > Doctoral Student 2 13%
Researcher 2 13%
Other 1 6%
Student > Bachelor 1 6%
Other 4 25%
Unknown 4 25%
Readers by discipline Count As %
Medicine and Dentistry 4 25%
Biochemistry, Genetics and Molecular Biology 2 13%
Unspecified 1 6%
Agricultural and Biological Sciences 1 6%
Nursing and Health Professions 1 6%
Other 2 13%
Unknown 5 31%
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 18 November 2014.
All research outputs
#18,383,471
of 22,770,070 outputs
Outputs from Methods in molecular biology
#7,867
of 13,090 outputs
Outputs of similar age
#165,446
of 228,071 outputs
Outputs of similar age from Methods in molecular biology
#56
of 155 outputs
Altmetric has tracked 22,770,070 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 13,090 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 228,071 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.

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