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DOI 10.1002/pmic.201500425

Медицинская библиотека · Proteomics · 2016

Quantitative assessment of methyl-esterification and other side reactions in a standard propionylation protocol for detection of histone modifications.

Paternoster Veerle, Edhager Anders Valdemar, Sibbersen Christian, Nielsen Anders Lade, Børglum Anders Dupont, Christensen Jane Hvarregaard, Palmfeldt Johan

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

Histone modifications play an important role in regulating chromatin stability and gene expression, but to date, investigating them remains challenging. In order to obtain peptides suitable for MS-based analysis, chemical derivatization of N-terminus and lysine residues by propionic anhydride is commonly performed. Several side reactions (methyl-esterification, amidation, solvolysis, overpropionylation, and missed propionylation) during propionylation protocols have been described, yet their relative abundances remain vague. Because methyl-esterification could interfere with correct interpretation of the modification pattern, it is essential to take measures to avoid it. Here we present in-depth quantitative analyses of methyl-esterification and the other side reactions in a standard propionylation protocol containing methanol, and when replacing methanol with isopropanol or acetonitrile. We show that the use of alternative solvents can eliminate methyl-esterification and that even though other side reactions are not prevented, their contribution can be kept relatively small. We also show that replacing methanol can be of importance also in other proteomics methods, such as mixed cation exchange, using methanol under acidic conditions.

Для цитирования: Paternoster Veerle, Edhager Anders Valdemar, Sibbersen Christian, Nielsen Anders Lade, Børglum Anders Dupont, Christensen Jane Hvarregaard, Palmfeldt Johan. Quantitative assessment of methyl-esterification and other side reactions in a standard propionylation protocol for detection of histone modifications.. Proteomics. 2016. DOI: 10.1002/pmic.201500425.

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