Literature DB >> 24635831

PEP search in MyCompoundID: detection and identification of dipeptides and tripeptides using dimethyl labeling and hydrophilic interaction liquid chromatography tandem mass spectrometry.

Yanan Tang1, Ronghong Li, Guohui Lin, Liang Li.   

Abstract

Small peptides, such as dipeptides and tripeptides, are naturally present in many biological samples (e.g., human biofluids and cell extracts). They have attracted great attention in many research fields because of their important biological functions as well as potential roles as disease biomarkers. Tandem mass spectrometry (MS/MS) can be used to profile these small peptides. However, the type and number of fragment ions generated in MS/MS are often limited for unambiguous identification. Herein we report a novel database-search strategy based on the use of MS/MS spectra of both unlabeled and dimethyl labeled peptides to identify and confirm amino acid sequences of di/tripeptides that are separated using hydrophilic interaction (HILIC) liquid chromatography (LC). To facilitate the di/tripeptide identification, a database consisting of all the predicted MS/MS spectra from 400 dipeptides and 8000 tripeptides was created, and a search tool, PEP Search, was developed and housed at the MyCompoundID website ( www.mycompoundid.org/PEP). To evaluate the identification specificity of this method, we used acid hydrolysis to degrade a standard protein, cytochrome c, to produce many di/tripeptides with known sequences for LC/MS/MS. The resultant MS/MS spectra were searched against the database to generate a list of matches which were compared to the known sequences. We correctly identified the di/tripeptides in the protein hydrolysate. We then applied this method to detect and identify di/tripeptides naturally present in human urine samples with high confidence. We envisage the use of this method as a complementary tool to various LC/MS techniques currently available for small molecule or metabolome profiling with an added benefit of covering all di/tripeptide chemical space.

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Year:  2014        PMID: 24635831     DOI: 10.1021/ac500109y

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  6 in total

Review 1.  Recent advances in mass spectrometry analysis of neuropeptides.

Authors:  Ashley Phetsanthad; Nhu Q Vu; Qing Yu; Amanda R Buchberger; Zhengwei Chen; Caitlin Keller; Lingjun Li
Journal:  Mass Spectrom Rev       Date:  2021-09-24       Impact factor: 9.011

2.  Systematic screening and structural characterization of dipeptides using offline 2D LC-LTQ-Orbitrap MS: A case study of Cordyceps sinensis.

Authors:  Xiaodie Li; Changliang Yao; Yun Li; Zhengming Qian; Wenlong Wei; Jianqing Zhang; Jiayuan Li; Qirui Bi; Wenjia Li; Yajun Cui; De-An Guo
Journal:  J Pharm Anal       Date:  2021-07-21

3.  Non-targeted and targeted analysis of collagen hydrolysates during the course of digestion and absorption.

Authors:  Anne J Kleinnijenhuis; Frédérique L van Holthoon; Annet J H Maathuis; Barbara Vanhoecke; Janne Prawitt; Fabien Wauquier; Yohann Wittrant
Journal:  Anal Bioanal Chem       Date:  2019-12-24       Impact factor: 4.142

4.  Identification of dipeptides by MALDI-ToF mass spectrometry in long-processing Spanish dry-cured ham.

Authors:  Alejandro Heres; Celia Saldaña; Fidel Toldrá; Leticia Mora
Journal:  Food Chem (Oxf)       Date:  2021-10-28

Review 5.  Navigating freely-available software tools for metabolomics analysis.

Authors:  Rachel Spicer; Reza M Salek; Pablo Moreno; Daniel Cañueto; Christoph Steinbeck
Journal:  Metabolomics       Date:  2017-08-09       Impact factor: 4.290

6.  Regional Brain Analysis of Modified Amino Acids and Dipeptides during the Sleep/Wake Cycle.

Authors:  Theodosia Vallianatou; Nicholas B Bèchet; Mario S P Correia; Iben Lundgaard; Daniel Globisch
Journal:  Metabolites       Date:  2021-12-27
  6 in total

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