• 文献标题:   An ultra-fast and highly efficient multiple proteases digestion strategy using graphene-oxide-based immobilized protease reagents
  • 文献类型:   Article
  • 作  者:   BAI HH, PAN YT, REN XJ, HAO FR, DENG SS, FAN C, YAN H, SHEN BQ, MA L, TIAN F, PENG B, DENG YL, QIN WJ, QIAN XH
  • 作者关键词:   graphene oxide, trypsin, gluc, immobilized protease, multiple proteases digestion
  • 出版物名称:   SCIENCE CHINACHEMISTRY
  • ISSN:   1674-7291 EI 1869-1870
  • 通讯作者地址:   Natl Ctr Prot Sci Beijing
  • 被引频次:   10
  • DOI:   10.1007/s11426-014-5082-2
  • 出版年:   2014

▎ 摘  要

Highly efficient and rapid proteolytic digestion of proteins into peptides is a crucial step in shotgun-based proteome-analysis strategy. Tandem digestion by two or more proteases is demonstrated to be helpful for increasing digestion efficiency and decreasing missed cleavages, which results in more peptides that are compatible with mass-spectrometry analysis. Compared to conventional solution digestion, immobilized protease digestion has the obvious advantages of short digestion time, no self-proteolysis, and reusability. We proposed a multiple-immobilized proteases-digestion strategy that combines the advantages of the two digestion strategies mentioned above. Graphene-oxide (GO)-based immobilized trypsin and endoproteinase Glu-C were prepared by covalently attaching them onto the GO surface. The prepared GO-trypsin and GO-Glu-C were successfully applied in standard protein digestion and multiple immobilized proteases digestion of total proteins of Thermoanaerobacter tengcongensis. Compared to 12-hour solution digestion using trypsin or Glu-C, 14% and 7% improvement were obtained, respectively, in the sequence coverage of BSA by one-minute digestion using GO-trypsin and GO-Glu-C. Multiple immobilized-proteases digestion of the total proteins of Thermoanaerobacter tengcongensis showed 24.3% and 48.7% enhancement in the numbers of identified proteins than was obtained using GO-trypsin or GO-Glu-C alone. The ultra-fast and highly efficient digestion can be contributed to the high loading capacity of protease on GO, which leads to fewer missed cleavages and more complete digestion. As a result, improved protein identification and sequence coverage can be expected.