Evaluation on the effect of different in-gel peptide isoelectric focusing parameters in global proteomic profiling

Kin Ting R. Kam, Xu Liang, Jing Rong Wang, Kam Wai V. Wong, Wendy W L HSIAO, Hua Zhou, Zhi Hong JIANG, Liang LIU*

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

7 Citations (Scopus)


Peptide isoelectric focusing (IEF) is a common technique used in two-dimensional liquid chromatography tandem mass spectrometry (2D-LC-MS/MS) proteomic workflow, in which the tryptic peptide is first pre-fractionated based on pI values before being subjected to reverse phase LC-MS analysis. Although this method has been widely used by many research groups, a systemic study on the optimal conditions and fundamental parameters influencing the experimental outcomes has been lacking, including the effect of peptide extraction methods, the extent of pre-fractionation, and the choice of pH range. In this study, we compared the effect of different parameters on the numbers of peptides and proteins identified using two complex mouse proteomes. The results indicated that extraction of peptides from immobilized pH gradient (IPG) strips by sequential elution of increasingly organic solvents provided the highest number of peptide identification. In addition, we showed that approximately 45 more unique proteins were identified for every additional fraction collected during peptide IEF. Although narrow pH ranges provided higher resolution in peptide separation as expected, different pH ranges yielded similar numbers of peptide and protein identification. Overall, we demonstrated that the extraction solvent influenced the numbers of peptide and protein identification and quantitatively demonstrated the advantage of extensive fractionation and the performance of different pH ranges in practice.

Original languageEnglish
Pages (from-to)27-33
Number of pages7
JournalAnalytical Biochemistry
Issue number1
Publication statusPublished - 2013

Scopus Subject Areas

  • Biophysics
  • Biochemistry
  • Molecular Biology
  • Cell Biology

User-Defined Keywords

  • Lung cancer
  • Peptide IEF
  • Proteomic profiling
  • Q-TOF MS


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