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An optimistic view for quantifying mRNA in post-mortem human brain
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2003 (English)In: Brain Research. Molecular Brain Research, ISSN 0169-328X, Vol. 116, no 1-2, 7-16 p.Article in journal (Refereed) Published
Abstract [en]

Quantitative human mRNA data are derived from post-mortem or biopsied tissue. RNA degradation, poor replication, a large mRNA variance and confounding factors such as brain pH and age of death are often cited, however, as objections to the data's reliability. A central question is whether post-mortem human mRNA can be treated as a statistically ordered system. TaqMan real-time RT-PCR was used to measure seven mRNAs in 513 cortical samples taken from 90 Alzheimer's disease and 81 control brains. Despite a high mRNA variance strong correlations were found between the mRNA transcripts in a single brain. Where a brain has a high/low level of one mRNA, the same brain invariably has a high/low level of other mRNAs; correlated order is present and allows removal of that source of variation common to all genes. Although levels of mRNA are highly variable between subjects (>1000-fold), quantitative order is present in post-mortem human mRNA, allowing effects due to pathology or gender to be isolated and tested for significance.

Place, publisher, year, edition, pages
2003. Vol. 116, no 1-2, 7-16 p.
Keyword [en]
Aged, Aged; 80 and over, Alzheimer Disease/metabolism, Amyloid beta-Protein Precursor/genetics, Brain Chemistry, Cadaver, Case-Control Studies, Comparative Study, Female, Glial Fibrillary Acidic Protein/genetics, Glyceraldehyde-3-Phosphate Dehydrogenases/genetics, Humans, Linear Models, Male, Microtubule-Associated Proteins/genetics, Middle Aged, Nerve Tissue Proteins/genetics, Peptide Fragments/genetics, Postmortem Changes, RNA Stability, RNA; Messenger/*analysis/chemistry, Reproducibility of Results, Reverse Transcriptase Polymerase Chain Reaction/methods, Sex Factors, Taq Polymerase
National Category
Neurosciences Genetics
URN: urn:nbn:se:uu:diva-72472PubMedID: 12941456OAI: oai:DiVA.org:uu-72472DiVA: diva2:100383
Available from: 2005-05-24 Created: 2005-05-24Bibliographically approved

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