Hoffmann, R. A wiki for the life sciences where authorship matters. Nature Genetics (2008)

Javascript disabled

Please enable Javascript support in your browser to use this application.

Instructions on how to enable JavaScript on different browsers can be found here: http://www.google.com/support/bin/answer.py?answer=23852.

[edit this page]

Chango, A. et al.

Abalo Chango, Latifa Abdennebi-Najar, Frederic Tessier, Séverine Ferré, Sergio Do, Jean-Louis Guéant, Jean Pierre Nicolas, Francis Willequet,

Quantitative methylation-sensitive arbitrarily primed PCR method to determine differential genomic DNA methylation in Down Syndrome.

Relative levels of DNA hypermethylation were quantified in DS individuals using a new method based on a combination of methylation-sensitive arbitrarily primed polymerase chain reaction (MS-AP-PCR) and quantification of DNA fragments with the Agilent 2100 bioanalyzer. Four of the DS individuals had low plasma total homocysteine (tHcy) level (4.3 +/- 0.3 micromol/l) and 4 other had high-tHcy level (14.1 +/- 0.9 micromol/l). Eight healthy control individuals were matched to the DS cases for age, sex, and tHcy levels. We have identified and quantified six hypermethylated fragments. Their sizes ranged from 230-bp to 700-bp. In cases and controls, low-tHcy did not affect methylation level of identified fragments, mean methylation values were 68.0 +/- 39.7% and 52.1 +/- 40.3%, respectively. DNA methylation in DS individuals did not change significantly (59.7+/-34.5%) in response to high-tHcy level in contrast to controls (23.4 +/- 17.7%, P = 0.02). Further, the quantitative MS-AP-PCR using this microfludic system is a useful method for determining differential genomic DNA methylation.[1]

References

Quantitative methylation-sensitive arbitrarily primed PCR method to determine differential genomic DNA methylation in Down Syndrome. Chango, A., Abdennebi-Najar, L., Tessier, F., Ferré, S., Do, S., Guéant, J.L., Nicolas, J.P., Willequet, F. Biochem. Biophys. Res. Commun. (2006) [Pubmed]

Annotations and hyperlinks in this abstract are from individual authors of WikiGenes or automatically generated by the WikiGenes Data Mining Engine. The abstract is from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.About WikiGenes Open Access Licence Privacy Policy Terms of Use

[search][advanced]