Analysis of low-abundance proteins using the proteomic reactor with pH fractionation

We developed a new method consisting of the proteomic reactor coupled with step pH fractionation for the analysis of low-abundance proteins from minute amount of sample. These new reactors were implemented using both SAX and SCX materials. The pH fractions from the SAX reactor provided higher peptide and protein identification than SCX reactor and conventional solution digestion. Interestingly, the physical characteristics (pI, molecular weight, missed cleavage site and grand average hydrophobicity (GRAVY) index, and number of acid and basic amino acid) of the peptides obtained from the SAX and SCX proteomic reactors are drastically different. Furthermore, nearly half of the peptides observed from the pH fractionations from the SAX reactor are of low abundance while only 22% low-abundance proteins are observed with conventional in-solution digestion following 2D LC-MS/MS analysis.     

多通道非接触电导检测装置用于自由流电泳分离在线检测

现有自由流电泳(FFE)装置因不具备在线检测功能,其实用性仍然存在明显不足.针对这一问题,该工作发展了一种多通道电容耦合式非接触电导检测(MC-C4 D)装置并开发了自动测量软件.MC-C4 D装置采用了并行分时的非接触电导检测技术,即由多个同样的非接触电导检测模块并行排列,而单个电导检测模块又由多个非接触电导检测池组...     

Effect of quality characteristics of single sample preparation steps in the precision and coverage of proteomic studies—A review

Proteomic profiling and biomarker search are analytical tools as many other. Nevertheless, in the proteomic discovery phase considerable sample fractionation is inevitable before readout. Since these procedures are of notable complexity, proteomic tools need in particular analytical quality validation standards as prevail for other analytical methods. With acceptance of the rule of error propagation the values of imprecision and yield of each preparation step determine overall reproducibility and therewith information harvest of a propagated method series. Thereto, we examined recent proteomic reports with reproducibility data and with parallelization, and automation approaches. Based on the data available from literature it is highly probable, that at least a part of current proteomic platforms actually suffer from high technical variance.