Literature DB >> 33953644

Mass Spectral Analysis of Synthetic Peptides: Implications in Proteomics.

Medicharala Venkata Jagannadham1, Pratap Gayatri1, Taniya Mary Binny1, Bathisaran Raman1, Duvvuri Butchi Kameshwari1, Ramakrishnan Nagaraj1.   

Abstract

Sequence determination of peptides is a crucial step in mass spectrometry-based proteomics. Peptide sequences are determined either by database search or by de novo 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 in silico 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. © Association of Biomolecular Resource Facilities.

Entities:  

Keywords:  database search · false discovery · mass spectrometry · proteomics standards

Year:  2021        PMID: 33953644      PMCID: PMC8075569          DOI: 10.7171/jbt.21-3201-001

Source DB:  PubMed          Journal:  J Biomol Tech        ISSN: 1524-0215


  18 in total

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2.  Proteomics. Tissue-based map of the human proteome.

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Journal:  Science       Date:  2015-01-23       Impact factor: 47.728

3.  Practical and Efficient Searching in Proteomics: A Cross Engine Comparison.

Authors:  Joao A Paulo
Journal:  Webmedcentral       Date:  2013-10-01

4.  Protein-Level Integration Strategy of Multiengine MS Spectra Search Results for Higher Confidence and Sequence Coverage.

Authors:  Panpan Zhao; Jiayong Zhong; Wanting Liu; Jing Zhao; Gong Zhang
Journal:  J Proteome Res       Date:  2017-10-11       Impact factor: 4.466

5.  Systematic Analysis of Yeast Proteome Reveals Peptide Detectability Factors for Mass Spectrometry.

Authors:  Sunhee Jung; Samuel A Danziger; Alexandre Panchaud; Priska von Haller; John D Aitchison; David R Goodlett
Journal:  J Proteomics Bioinform       Date:  2015

6.  Interlaboratory studies and initiatives developing standards for proteomics.

Authors:  Alexander R Ivanov; Christopher M Colangelo; Craig P Dufresne; David B Friedman; Kathryn S Lilley; Karl Mechtler; Brett S Phinney; Kristie L Rose; Paul A Rudnick; Brian C Searle; Scott A Shaffer; Susan T Weintraub
Journal:  Proteomics       Date:  2013-02-19       Impact factor: 3.984

7.  Proteomics Standards Initiative: Fifteen Years of Progress and Future Work.

Authors:  Eric W Deutsch; Sandra Orchard; Pierre-Alain Binz; Wout Bittremieux; Martin Eisenacher; Henning Hermjakob; Shin Kawano; Henry Lam; Gerhard Mayer; Gerben Menschaert; Yasset Perez-Riverol; Reza M Salek; David L Tabb; Stefan Tenzer; Juan Antonio Vizcaíno; Mathias Walzer; Andrew R Jones
Journal:  J Proteome Res       Date:  2017-09-15       Impact factor: 4.466

8.  A HUPO test sample study reveals common problems in mass spectrometry-based proteomics.

Authors:  Alexander W Bell; Eric W Deutsch; Catherine E Au; Robert E Kearney; Ron Beavis; Salvatore Sechi; Tommy Nilsson; John J M Bergeron
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9.  A draft map of the human proteome.

Authors:  Min-Sik Kim; Sneha M Pinto; Derese Getnet; Raja Sekhar Nirujogi; Srikanth S Manda; Raghothama Chaerkady; Anil K Madugundu; Dhanashree S Kelkar; Ruth Isserlin; Shobhit Jain; Joji K Thomas; Babylakshmi Muthusamy; Pamela Leal-Rojas; Praveen Kumar; Nandini A Sahasrabuddhe; Lavanya Balakrishnan; Jayshree Advani; Bijesh George; Santosh Renuse; Lakshmi Dhevi N Selvan; Arun H Patil; Vishalakshi Nanjappa; Aneesha Radhakrishnan; Samarjeet Prasad; Tejaswini Subbannayya; Rajesh Raju; Manish Kumar; Sreelakshmi K Sreenivasamurthy; Arivusudar Marimuthu; Gajanan J Sathe; Sandip Chavan; Keshava K Datta; Yashwanth Subbannayya; Apeksha Sahu; Soujanya D Yelamanchi; Savita Jayaram; Pavithra Rajagopalan; Jyoti Sharma; Krishna R Murthy; Nazia Syed; Renu Goel; Aafaque A Khan; Sartaj Ahmad; Gourav Dey; Keshav Mudgal; Aditi Chatterjee; Tai-Chung Huang; Jun Zhong; Xinyan Wu; Patrick G Shaw; Donald Freed; Muhammad S Zahari; Kanchan K Mukherjee; Subramanian Shankar; Anita Mahadevan; Henry Lam; Christopher J Mitchell; Susarla Krishna Shankar; Parthasarathy Satishchandra; John T Schroeder; Ravi Sirdeshmukh; Anirban Maitra; Steven D Leach; Charles G Drake; Marc K Halushka; T S Keshava Prasad; Ralph H Hruban; Candace L Kerr; Gary D Bader; Christine A Iacobuzio-Donahue; Harsha Gowda; Akhilesh Pandey
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10.  Evaluation of proteomic search engines for the analysis of histone modifications.

Authors:  Zuo-Fei Yuan; Shu Lin; Rosalynn C Molden; Benjamin A Garcia
Journal:  J Proteome Res       Date:  2014-09-07       Impact factor: 4.466

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