Gene-expression profiling of experimental autoimmune encephalomyelitis

Eilhard Mix; Jens Pahnke; Saleh M. Ibrahim

doi:10.1023/A:1020925425780

Gene-expression profiling of experimental autoimmune encephalomyelitis

Eilhard Mix, Jens Pahnke, Saleh M. Ibrahim^*

^*Corresponding author for this work

University of Rostock

14 Citations (Scopus)

Abstract

Experimental autoimmune encephalomyelitis (EAE) is a mouse model that serves as an experimental tool for studying the etiology, pathogenesis, as well as new therapeutic approaches of multiple sclerosis (MS). EAE is a polygenic chronic inflammatory demyelinating disease of the nervous system that involves the interaction between genetic and environmental factors. Previous studies have identified multiple quantitative trait loci (QTL) controlling different aspects of disease pathogenesis. However, progress in identifying new susceptibility genes outside the MHC locus has been slow. With the advent of new global methods for genetic analysis such as large-scale sequencing, gene expression profiling combined with classic linkage analysis and congenic and physical mapping progress is considerably accelerating. Here we review our preliminary work on the use of gene expression mapping to identify new putative genetic pathways contributing to the pathogenesis of EAE.

Original language	English
Journal	Neurochemical Research
Volume	27
Issue number	10
Pages (from-to)	1157-1163
Number of pages	7
ISSN	0364-3190
DOIs	https://doi.org/10.1023/A:1020925425780
Publication status	Published - 01.10.2002

Funding

The work was supported by grants from the German Federal Ministry of Education and Research (BMBF) program NBL3, 01 ZZ0108, to S.M.I. The authors would like to thank colleagues who contributed to the original published experiments namely Tobias Boettcher, Ralf Gold, Dirk Koczan, Arndt Rolfs, and Hans-Juergen Thiesen. We would also like to thank I. Klamfuß for excellent technical assistance and A. Mueller for help with the manuscript.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Research Areas and Centers

Academic Focus: Center for Infection and Inflammation Research (ZIEL)

Access to Document

10.1023/A:1020925425780

Cite this

@article{ced93c4774f149adb93ef7864d7debfd,

title = "Gene-expression profiling of experimental autoimmune encephalomyelitis",

abstract = "Experimental autoimmune encephalomyelitis (EAE) is a mouse model that serves as an experimental tool for studying the etiology, pathogenesis, as well as new therapeutic approaches of multiple sclerosis (MS). EAE is a polygenic chronic inflammatory demyelinating disease of the nervous system that involves the interaction between genetic and environmental factors. Previous studies have identified multiple quantitative trait loci (QTL) controlling different aspects of disease pathogenesis. However, progress in identifying new susceptibility genes outside the MHC locus has been slow. With the advent of new global methods for genetic analysis such as large-scale sequencing, gene expression profiling combined with classic linkage analysis and congenic and physical mapping progress is considerably accelerating. Here we review our preliminary work on the use of gene expression mapping to identify new putative genetic pathways contributing to the pathogenesis of EAE.",

author = "Eilhard Mix and Jens Pahnke and Ibrahim, \{Saleh M.\}",

note = "Funding Information: The work was supported by grants from the German Federal Ministry of Education and Research (BMBF) program NBL3, 01 ZZ0108, to S.M.I. The authors would like to thank colleagues who contributed to the original published experiments namely Tobias Boettcher, Ralf Gold, Dirk Koczan, Arndt Rolfs, and Hans-Juergen Thiesen. We would also like to thank I. Klamfu{\ss} for excellent technical assistance and A. Mueller for help with the manuscript.",

year = "2002",

month = oct,

day = "1",

doi = "10.1023/A:1020925425780",

language = "English",

volume = "27",

pages = "1157--1163",

journal = "Neurochemical Research",

issn = "0364-3190",

publisher = "Springer",

number = "10",

}

TY - JOUR

T1 - Gene-expression profiling of experimental autoimmune encephalomyelitis

AU - Mix, Eilhard

AU - Pahnke, Jens

AU - Ibrahim, Saleh M.

N1 - Funding Information: The work was supported by grants from the German Federal Ministry of Education and Research (BMBF) program NBL3, 01 ZZ0108, to S.M.I. The authors would like to thank colleagues who contributed to the original published experiments namely Tobias Boettcher, Ralf Gold, Dirk Koczan, Arndt Rolfs, and Hans-Juergen Thiesen. We would also like to thank I. Klamfuß for excellent technical assistance and A. Mueller for help with the manuscript.

PY - 2002/10/1

Y1 - 2002/10/1

N2 - Experimental autoimmune encephalomyelitis (EAE) is a mouse model that serves as an experimental tool for studying the etiology, pathogenesis, as well as new therapeutic approaches of multiple sclerosis (MS). EAE is a polygenic chronic inflammatory demyelinating disease of the nervous system that involves the interaction between genetic and environmental factors. Previous studies have identified multiple quantitative trait loci (QTL) controlling different aspects of disease pathogenesis. However, progress in identifying new susceptibility genes outside the MHC locus has been slow. With the advent of new global methods for genetic analysis such as large-scale sequencing, gene expression profiling combined with classic linkage analysis and congenic and physical mapping progress is considerably accelerating. Here we review our preliminary work on the use of gene expression mapping to identify new putative genetic pathways contributing to the pathogenesis of EAE.

AB - Experimental autoimmune encephalomyelitis (EAE) is a mouse model that serves as an experimental tool for studying the etiology, pathogenesis, as well as new therapeutic approaches of multiple sclerosis (MS). EAE is a polygenic chronic inflammatory demyelinating disease of the nervous system that involves the interaction between genetic and environmental factors. Previous studies have identified multiple quantitative trait loci (QTL) controlling different aspects of disease pathogenesis. However, progress in identifying new susceptibility genes outside the MHC locus has been slow. With the advent of new global methods for genetic analysis such as large-scale sequencing, gene expression profiling combined with classic linkage analysis and congenic and physical mapping progress is considerably accelerating. Here we review our preliminary work on the use of gene expression mapping to identify new putative genetic pathways contributing to the pathogenesis of EAE.

UR - https://www.scopus.com/pages/publications/0036808581

U2 - 10.1023/A:1020925425780

DO - 10.1023/A:1020925425780

M3 - Journal articles

C2 - 12462414

AN - SCOPUS:0036808581

SN - 0364-3190

VL - 27

SP - 1157

EP - 1163

JO - Neurochemical Research

JF - Neurochemical Research

IS - 10

ER -

Gene-expression profiling of experimental autoimmune encephalomyelitis

Abstract

Funding

UN SDGs

Research Areas and Centers

Access to Document

Other files and links

Fingerprint

Cite this