Mass Spectral Analysis of Synthetic Peptides: Implications in Proteomics

• Published in: Journal of biomolecular techniques Vol. 32; no. 1; pp. 30 - 35
• Main Authors: Jagannadham, Medicharala Venkata, Gayatri, Pratap, Binny, Taniya Mary, Raman, Bathisaran, Kameshwari, Duvvuri Butchi, Nagaraj, Ramakrishnan
• Format: Journal Article
• Language: English
• Published: United States Association of Biomolecular Resource Facilities 01.04.2021
• Subjects: Algorithms; Chromatography, Liquid; Humans; Peptides; Proteins; Proteomics; Tandem Mass Spectrometry; database search · false discovery · mass spectrometry · proteomics standards
• ISSN: 1524-0215; 1943-4731
• DOI: 10.7171/jbt.21-3201-001

Sequence determination of peptides is a crucial step in mass spectrometry-based proteomics. Peptide sequences are determined either by database search or by sequencing using tandem mass spectrometry. Determination of all the theoretical expected peptide fragments and eliminating false discoveries remains a challenge in proteomics. Developing standards for evaluating the performance of mass spectrometers and algorithms used for identification of proteins is important for proteomics studies. The current study is focused on these aspects by using synthetic peptides. A total of 599 peptides were designed from tryptic digest with 1 or 2 missed cleavages from 199 human proteins, and synthetic peptides corresponding to these sequences were obtained. The peptides were mixed together, and analysis was carried out using liquid chromatography-electrospray ionization tandem mass spectrometry on a Q-Exactive HF mass spectrometer. The peptides and proteins were identified with SEQUEST program. The analysis was carried out using the proteomics workflows. A total of 573 peptides representing 196 proteins could be identified, and a spectral library was created for these peptides. Analysis parameters such as "no enzyme selection" gave the maximum number of detected peptides as compared with trypsin in the selection. False discoveries could be identified. This study highlights the limitations of peptide detection and the need for developing powerful algorithms along with tools to evaluate mass spectrometers and algorithms. It also shows the limitations of peptide detection even with high-end mass spectrometers. The mass spectral data are available in ProteomeXchange with accession no. PXD017992.