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Natural Antibodies

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Cover of 'Natural Antibodies'

Table of Contents

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    Book Overview
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    Chapter 1 Natural Antibodies: Next Steps Toward Translational Investigation
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    Chapter 2 Isolation of Natural Anti-FcεRIα Autoantibodies from Healthy Donors
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    Chapter 3 Isolation of Antibodies from Human Plasma, Saliva, Breast Milk, and Gastrointestinal Fluid
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    Chapter 4 Purification of Natural Antibodies Against Tau Protein by Affinity Chromatography
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    Chapter 5 Unbiased RACE-Based Massive Parallel Surveys of Human IgA Antibody Repertoires
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    Chapter 6 Analysis of Signaling Events in B-1a Cells
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    Chapter 7 Exploring the Role of Microbiota in the Limiting of B1 and MZ B-Cell Numbers by Naturally Secreted Immunoglobulins
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    Chapter 8 Assessment of Anti-Tumor Cytotoxic Activity of Naturally Occurring Antibodies in Human Serum or Plasma
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    Chapter 9 Hydrolysis and Dissolution of Amyloids by Catabodies
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    Chapter 10 Methods for Posttranslational Induction of Polyreactivity of Antibodies
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    Chapter 11 Characterization of Natural IgM Antibodies Recognizing Oxidation-Specific Epitopes on Circulating Microvesicles
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    Chapter 12 Natural Monoclonal Antibody to Oxidized Low-Density Lipoprotein and Aggregatibacter actinomycetemcomitans
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    Chapter 13 Detection of Natural Antibodies and Serological Diagnosis of Pneumococcal Pneumonia Using a Bead-Based High-Throughput Assay
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    Chapter 14 Detection of Naturally Occurring Human Antibodies Against Gangliosides by ELISA
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    Chapter 15 Evaluating the Impact of Natural IgM on Adenovirus Type 5 Gene Therapy Vectors
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    Chapter 16 Erratum to: Hydrolysis and Dissolution of Amyloids by Catabodies
Attention for Chapter 14: Detection of Naturally Occurring Human Antibodies Against Gangliosides by ELISA
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Chapter title
Detection of Naturally Occurring Human Antibodies Against Gangliosides by ELISA
Chapter number 14
Book title
Natural Antibodies
Published in
Methods in molecular biology, July 2017
DOI 10.1007/978-1-4939-7180-0_14
Pubmed ID
Book ISBNs
978-1-4939-7179-4, 978-1-4939-7180-0
Authors

Ana María Hernández, Nely Rodríguez-Zhurbenko, Hernández, Ana María, Rodríguez-Zhurbenko, Nely

Editors

Srinivas V. Kaveri, Jagadeesh Bayry

Abstract

Gangliosides are sialic acid-containing glycolipids that have been considered attractive targets for cancer immunotherapy, based on the qualitative and quantitative changes they suffer during malignant transformation and due to their importance for tumor biology. Natural antibodies against gangliosides have been detected not only in cancer patients but also in healthy donors. The presence of these antibodies can be used as diagnostic or prognostic factor. However, these responses are difficult to detect because anti-ganglioside antibodies are usually of IgM isotype and low affinity. Enzyme Linked Immunosorbent Assay (ELISA) is an immunoassay based on the specific binding of antibodies to antigens bound to a solid phase. These antigens can be glycolipids like gangliosides. An enzyme linked to the last reactant allows the detection of specific binding through the development of color after the addition of a suitable substrate. ELISA combines the specificity of antibodies with the sensitivity of enzyme reactions. The ELISA method described herein can be used to detect antibody responses against gangliosides not only related to cancer but also to autoimmune diseases and infections, both in healthy donors, and patients, untreated or receiving specific immunotherapy.

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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 > Master 4 50%
Student > Ph. D. Student 1 13%
Researcher 1 13%
Student > Bachelor 1 13%
Unknown 1 13%
Readers by discipline Count As %
Medicine and Dentistry 2 25%
Neuroscience 2 25%
Immunology and Microbiology 1 13%
Materials Science 1 13%
Unknown 2 25%
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 27 March 2018.
All research outputs
#19,323,874
of 23,923,788 outputs
Outputs from Methods in molecular biology
#8,297
of 13,508 outputs
Outputs of similar age
#244,065
of 316,595 outputs
Outputs of similar age from Methods in molecular biology
#159
of 265 outputs
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