Literature DB >> 27403644

Tandem mass spectral libraries of peptides and their roles in proteomics research.

Wenguang Shao1,2, Henry Lam2,3.   

Abstract

Proteomics is a rapidly maturing field aimed at the high-throughput identification and quantification of all proteins in a biological system. The cornerstone of proteomic technology is tandem mass spectrometry of peptides resulting from the digestion of protein mixtures. The fragmentation pattern of each peptide ion is captured in its tandem mass spectrum, which enables its identification and acts as a fingerprint for the peptide. Spectral libraries are simply searchable collections of these fingerprints, which have taken on an increasingly prominent role in proteomic data analysis. This review describes the historical development of spectral libraries in proteomics, details the computational procedures behind library building and searching, surveys the current applications of spectral libraries, and discusses the outstanding challenges.
© 2016 Wiley Periodicals, Inc. Mass Spec Rev 36:634-648, 2017. © 2016 Wiley Periodicals, Inc.

Keywords:  proteomics; spectral library; tandem mass spectrometry

Mesh:

Substances:

Year:  2016        PMID: 27403644     DOI: 10.1002/mas.21512

Source DB:  PubMed          Journal:  Mass Spectrom Rev        ISSN: 0277-7037            Impact factor:   10.946


  12 in total

1.  2018 YPIC Challenge: A Case Study in Characterizing an Unknown Protein Sample.

Authors:  Lindsay Pino; Andy Lin; Wout Bittremieux
Journal:  J Proteome Res       Date:  2019-10-07       Impact factor: 4.466

2.  Quantitative Mass Spectrometry-Based Proteomics: An Overview.

Authors:  Svitlana Rozanova; Katalin Barkovits; Miroslav Nikolov; Carla Schmidt; Henning Urlaub; Katrin Marcus
Journal:  Methods Mol Biol       Date:  2021

Review 3.  Identification of small molecules using accurate mass MS/MS search.

Authors:  Tobias Kind; Hiroshi Tsugawa; Tomas Cajka; Yan Ma; Zijuan Lai; Sajjan S Mehta; Gert Wohlgemuth; Dinesh Kumar Barupal; Megan R Showalter; Masanori Arita; Oliver Fiehn
Journal:  Mass Spectrom Rev       Date:  2017-04-24       Impact factor: 10.946

4.  Integrated Label-Free and 10-Plex DiLeu Isobaric Tag Quantitative Methods for Profiling Changes in the Mouse Hypothalamic Neuropeptidome and Proteome: Assessment of the Impact of the Gut Microbiome.

Authors:  Rui Liu; Pingli Wei; Caitlin Keller; Nicola Salvatore Orefice; Yatao Shi; Zihui Li; Junfeng Huang; Yusi Cui; Dustin C Frost; Shuying Han; Tzu-Wen L Cross; Federico E Rey; Lingjun Li
Journal:  Anal Chem       Date:  2020-09-28       Impact factor: 6.986

5.  Fast Open Modification Spectral Library Searching through Approximate Nearest Neighbor Indexing.

Authors:  Wout Bittremieux; Pieter Meysman; William Stafford Noble; Kris Laukens
Journal:  J Proteome Res       Date:  2018-09-13       Impact factor: 4.466

6.  Deep learning embedder method and tool for mass spectra similarity search.

Authors:  Chunyuan Qin; Xiyang Luo; Chuan Deng; Kunxian Shu; Weimin Zhu; Johannes Griss; Henning Hermjakob; Mingze Bai; Yasset Perez-Riverol
Journal:  J Proteomics       Date:  2020-12-08       Impact factor: 3.855

Review 7.  A tutorial in small molecule identification via electrospray ionization-mass spectrometry: The practical art of structural elucidation.

Authors:  Thomas De Vijlder; Dirk Valkenborg; Filip Lemière; Edwin P Romijn; Kris Laukens; Filip Cuyckens
Journal:  Mass Spectrom Rev       Date:  2017-11-09       Impact factor: 10.946

8.  Assembling the Community-Scale Discoverable Human Proteome.

Authors:  Mingxun Wang; Jian Wang; Jeremy Carver; Benjamin S Pullman; Seong Won Cha; Nuno Bandeira
Journal:  Cell Syst       Date:  2018-08-29       Impact factor: 10.304

9.  Reproducibility, Specificity and Accuracy of Relative Quantification Using Spectral Library-based Data-independent Acquisition.

Authors:  Katalin Barkovits; Sandra Pacharra; Kathy Pfeiffer; Simone Steinbach; Martin Eisenacher; Katrin Marcus; Julian Uszkoreit
Journal:  Mol Cell Proteomics       Date:  2019-11-07       Impact factor: 5.911

10.  A Frequency-Based Approach to Predict the Low-Energy Collision-Induced Dissociation Fragmentation Spectra.

Authors:  Sangeetha Ramachandran; Tessamma Thomas
Journal:  ACS Omega       Date:  2020-05-27
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.