Quan Quan, Feng Jinwen, Lui Leong-Ting, Shi Tieliu, Chu Ivan K
Department of Chemistry, The University of Hong Kong, Hong Kong, China.
Center for Bioinformatics and Computational Biology, and The Institute of Biomedical Sciences, School of Life Science, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China.
J Chromatogr A. 2017 May 19;1498:196-206. doi: 10.1016/j.chroma.2017.01.048. Epub 2017 Jan 22.
A fully automated online multidimensional liquid chromatography (MDLC) platform featuring high-/low-pH reversed-phase (RP) dimensions and two other complementary-strong anion exchange (SAX) and strong cation exchange (SCX), respectively-chromatographic separations in tandem, with conventional offline titanium dioxide pre-enrichment, has been applied for the first global phosphopeptide identification from the macaque cerebral cortex in the presence of phosphatase inhibitors. Phosphorylation data interpretation, including site determination, and network construction have been performed: 14,338 distinct phosphopeptides in 7572 non-redundant phosphosites at 1% FDR were identified with 784 novel phosphorylation sites when mapping into the two most-curated public phosphorylation databases, PhosphoSitePlus (PSP) and Phospho.ELM (ELM), using probability-based placements. The net charges of both extremely acidic and basic phosphopeptides depend largely on the pH of the solvent, in turn impacting their retention and subsequent fractionation; the inclusion of the complementary SAX and SCX column chemistries after the high-pH RP dimension allowed effective retention and separation of net-negatively and -positively charged phosphopeptides, thereby leading to extended anionic and cationic phosphopeptide coverage from basophilic and acidophilic kinase substrates. A valuable protein interaction network of known and predicted motifs kinases was constructed from 3064 confident phosphorylation sites in the non-human primate's brain.
一种全自动在线多维液相色谱(MDLC)平台,具有高/低pH反相(RP)维度以及另外两种互补的分离方式,即分别为强阴离子交换(SAX)和强阳离子交换(SCX)色谱分离,并采用传统的离线二氧化钛预富集方法,首次应用于在存在磷酸酶抑制剂的情况下从猕猴大脑皮层中进行全球磷酸化肽的鉴定。已经进行了磷酸化数据解释,包括位点确定和网络构建:当映射到两个最精心策划的公共磷酸化数据库PhosphoSitePlus(PSP)和Phospho.ELM(ELM)中时,使用基于概率的定位方法,在1%错误发现率(FDR)下,在7572个非冗余磷酸化位点中鉴定出14338个不同的磷酸化肽,其中有784个新的磷酸化位点。极酸性和极碱性磷酸化肽的净电荷在很大程度上取决于溶剂的pH值,进而影响它们的保留和后续分级分离;在高pH RP维度之后加入互补的SAX和SCX柱化学方法,能够有效地保留和分离带负电和带正电的磷酸化肽,从而扩大了嗜碱性和嗜酸性激酶底物的阴离子和阳离子磷酸化肽覆盖范围。从非人类灵长类动物大脑中的3064个可靠磷酸化位点构建了一个由已知和预测基序激酶组成的有价值的蛋白质相互作用网络。