2001
DOI: 10.1016/s0165-5728(01)00438-6
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Microarray analysis of gene expression in multiple sclerosis and EAE identifies 5-lipoxygenase as a component of inflammatory lesions

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Cited by 135 publications
(73 citation statements)
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“…Unless otherwise indicated, 10×10 6 Jurkat or CD4 + cells were used to determine active Rac-1 levels.…”
Section: Rac-1 Activationmentioning
confidence: 99%
See 1 more Smart Citation
“…Unless otherwise indicated, 10×10 6 Jurkat or CD4 + cells were used to determine active Rac-1 levels.…”
Section: Rac-1 Activationmentioning
confidence: 99%
“…Although others have used this approach to determine changes in gene expression in MS lesions [5][6][7], there have been no reports about the changes in gene expression in specific immune cell types. Accordingly, we purified CD4 + and CD8 + cells from both MS patients that had disease activity within the past 6 months and were not receiving any therapeutic intervention and healthy age-matched controls and determined gene expression profiles.…”
mentioning
confidence: 99%
“…The genes with increased expression in acute plaques included leukotriene A-4 hydroxylase, TNF α receptor, the auto-antigen annexin XI, interferon regulatory factor 2 (IRF-2), activin Type II receptor (ACVR2), protein kinase C type β-1 (PRKCB1), myelin transcription factor-1 (MYT1) and many several candidates. Two years later, Withney (Whitney et al, 2001) undertook microarray experiments using 2 MS patients. One patient's 16 chronic inactive (silent) plaques and the second patient's acute and chronic active plaque were used in the investigation.…”
Section: Immune Tolerance Disturbance In Msmentioning
confidence: 99%
“…To date, microarray analysis has been used to investigate differential gene expression in several areas of brain research including aging (Ly et al, 2000;Lee et al, 2000;Weindruch et al, 2002), multiple sclerosis (Whitney et al, 1999(Whitney et al, , 2001) and Alzheimer's Disease (Ginsberg et al, 1999(Ginsberg et al, , 2000. However, the utility of microarray analysis for the investigation of molecular correlates of psychiatric illness is only now being realized.…”
Section: Introductionmentioning
confidence: 99%