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Regulatory T Cells in Inflammation

Leonie S. Taams ; Marca H. M. Wauben ; Arne N. Akbar (eds.)

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

Immunology; Pharmacology/Toxicology; Internal Medicine; Endocrinology; Cell Biology

Disponibilidad
Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2005 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-3-7643-7088-6

ISBN electrónico

978-3-7643-7301-6

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© Birkhäuser Verlag 2005

Cobertura temática

biologia

Ciencias biológicas

medicina-basica

Medicina básica

medicina-clinica

Medicina clínica

Tabla de contenidos

doi: 10.1007/3-7643-7301-6_1

History of CD25CD4 regulatory T cells

Shimon Sakaguchi; Noriko Sakaguchi

When a trainer aims to provide trainees with appropriate help and assistance, she/he needs to know what errors the trainee is making and furthermore what causes lead to these errors. In this paper, we propose a mechanism which infers the underlying causes that lead to the production of the trainee’s erroneous action in order to support the trainer in her/his monitoring activity. This mechanism is based on and uses CREAM, a second-generation method of Human Reliability Analysis (HRA). We implement this mechanism by using Dempster-Shafer’s theory.

Part I - Origin, function and distribution of regulatory T cells | Pp. 3-17

doi: 10.1007/3-7643-7301-6_2

“Natural” and “induced” regulatory T cells — purpose and problems associated with an emerging distinction

Dirk Homann; Matthias G. von Herrath

When a trainer aims to provide trainees with appropriate help and assistance, she/he needs to know what errors the trainee is making and furthermore what causes lead to these errors. In this paper, we propose a mechanism which infers the underlying causes that lead to the production of the trainee’s erroneous action in order to support the trainer in her/his monitoring activity. This mechanism is based on and uses CREAM, a second-generation method of Human Reliability Analysis (HRA). We implement this mechanism by using Dempster-Shafer’s theory.

Part I - Origin, function and distribution of regulatory T cells | Pp. 19-38

doi: 10.1007/3-7643-7301-6_3

The role of interleukin-10 in regulatory-T-cell suppression: reconciling the discrepancies

Robert N. Barker; Frank J. Ward

When a trainer aims to provide trainees with appropriate help and assistance, she/he needs to know what errors the trainee is making and furthermore what causes lead to these errors. In this paper, we propose a mechanism which infers the underlying causes that lead to the production of the trainee’s erroneous action in order to support the trainer in her/his monitoring activity. This mechanism is based on and uses CREAM, a second-generation method of Human Reliability Analysis (HRA). We implement this mechanism by using Dempster-Shafer’s theory.

Part I - Origin, function and distribution of regulatory T cells | Pp. 39-61

doi: 10.1007/3-7643-7301-6_4

Activation and distribution of regulatory T cells in naïve and antigen-stimulated immune systems

Esther N.M. Nolte-’t Hoen; Marca H.M. Wauben

When a trainer aims to provide trainees with appropriate help and assistance, she/he needs to know what errors the trainee is making and furthermore what causes lead to these errors. In this paper, we propose a mechanism which infers the underlying causes that lead to the production of the trainee’s erroneous action in order to support the trainer in her/his monitoring activity. This mechanism is based on and uses CREAM, a second-generation method of Human Reliability Analysis (HRA). We implement this mechanism by using Dempster-Shafer’s theory.

Part I - Origin, function and distribution of regulatory T cells | Pp. 63-75

doi: 10.1007/3-7643-7301-6_5

Regulatory T cells and the innate immune system

Kevin J. Maloy; Fiona Powrie

When a trainer aims to provide trainees with appropriate help and assistance, she/he needs to know what errors the trainee is making and furthermore what causes lead to these errors. In this paper, we propose a mechanism which infers the underlying causes that lead to the production of the trainee’s erroneous action in order to support the trainer in her/his monitoring activity. This mechanism is based on and uses CREAM, a second-generation method of Human Reliability Analysis (HRA). We implement this mechanism by using Dempster-Shafer’s theory.

Part I - Origin, function and distribution of regulatory T cells | Pp. 77-91

doi: 10.1007/3-7643-7301-6_6

Exploiting the potential of regulatory T cells in the control of type 1 diabetes

Nadia Giarratana; Giuseppe Penna; Silvia Gregori; Kenn C. Daniel; Luciano Adorini

When a trainer aims to provide trainees with appropriate help and assistance, she/he needs to know what errors the trainee is making and furthermore what causes lead to these errors. In this paper, we propose a mechanism which infers the underlying causes that lead to the production of the trainee’s erroneous action in order to support the trainer in her/his monitoring activity. This mechanism is based on and uses CREAM, a second-generation method of Human Reliability Analysis (HRA). We implement this mechanism by using Dempster-Shafer’s theory.

Part II - The potential use of regulatory T cells in immunotherapy | Pp. 95-109

doi: 10.1007/3-7643-7301-6_7

Regulatory T cells in type 1 autoimmune diabetes

Sophie Candon; Lucienne Chatenoud

When a trainer aims to provide trainees with appropriate help and assistance, she/he needs to know what errors the trainee is making and furthermore what causes lead to these errors. In this paper, we propose a mechanism which infers the underlying causes that lead to the production of the trainee’s erroneous action in order to support the trainer in her/his monitoring activity. This mechanism is based on and uses CREAM, a second-generation method of Human Reliability Analysis (HRA). We implement this mechanism by using Dempster-Shafer’s theory.

Part II - The potential use of regulatory T cells in immunotherapy | Pp. 111-132

doi: 10.1007/3-7643-7301-6_8

The potential for targeting CD4CD25 regulatory T cells in the treatment of multiple sclerosis in humans

Clare Baecher-Allan; Vissia Viglietta; David A. Hafler

When a trainer aims to provide trainees with appropriate help and assistance, she/he needs to know what errors the trainee is making and furthermore what causes lead to these errors. In this paper, we propose a mechanism which infers the underlying causes that lead to the production of the trainee’s erroneous action in order to support the trainer in her/his monitoring activity. This mechanism is based on and uses CREAM, a second-generation method of Human Reliability Analysis (HRA). We implement this mechanism by using Dempster-Shafer’s theory.

Part II - The potential use of regulatory T cells in immunotherapy | Pp. 133-151

doi: 10.1007/3-7643-7301-6_9

Immunotherapy of rheumatoid arthritis using CD4CD25 regulatory T cells

Jocea M. van Amelsfort; Johannes W. J. Bijlsma; Leonie S. Taams

When a trainer aims to provide trainees with appropriate help and assistance, she/he needs to know what errors the trainee is making and furthermore what causes lead to these errors. In this paper, we propose a mechanism which infers the underlying causes that lead to the production of the trainee’s erroneous action in order to support the trainer in her/his monitoring activity. This mechanism is based on and uses CREAM, a second-generation method of Human Reliability Analysis (HRA). We implement this mechanism by using Dempster-Shafer’s theory.

Part II - The potential use of regulatory T cells in immunotherapy | Pp. 153-172

doi: 10.1007/3-7643-7301-6_10

Potential for manipulation of regulatory T cells in treatment or prevention of allergic disease

Douglas S. Robinson; Eleanor M. Ling

When a trainer aims to provide trainees with appropriate help and assistance, she/he needs to know what errors the trainee is making and furthermore what causes lead to these errors. In this paper, we propose a mechanism which infers the underlying causes that lead to the production of the trainee’s erroneous action in order to support the trainer in her/his monitoring activity. This mechanism is based on and uses CREAM, a second-generation method of Human Reliability Analysis (HRA). We implement this mechanism by using Dempster-Shafer’s theory.

Part II - The potential use of regulatory T cells in immunotherapy | Pp. 173-203