Literature DB >> 27089233

A Pipeline for Differential Proteomics in Unsequenced Species.

Şule Yılmaz1,2,3, Bjorn Victor4, Niels Hulstaert1,2,3, Elien Vandermarliere1,2,3, Harald Barsnes5, Sven Degroeve1,2,3, Surya Gupta1,2,3, Adriaan Sticker1,2,3,6, Sarah Gabriël4, Pierre Dorny4, Magnus Palmblad7, Lennart Martens1,2,3.   

Abstract

Shotgun proteomics experiments often take the form of a differential analysis, where two or more samples are compared against each other. The objective is to identify proteins that are either unique to a specific sample or a set of samples (qualitative differential proteomics), or that are significantly differentially expressed in one or more samples (quantitative differential proteomics). However, the success depends on the availability of a reliable protein sequence database for each sample. To perform such an analysis in the absence of a database, we here propose a novel, generic pipeline comprising an adapted spectral similarity score derived from database search algorithms that compares samples at the spectrum level to detect unique spectra. We applied our pipeline to compare two parasitic tapeworms: Taenia solium and Taenia hydatigena, of which only the former poses a threat to humans. Furthermore, because the genome of T. solium recently became available, we were able to prove the effectiveness and reliability of our pipeline a posteriori.

Entities:  

Keywords:  differential proteomics; mass spectrometry; unique spectrum; unsequenced species

Mesh:

Year:  2016        PMID: 27089233     DOI: 10.1021/acs.jproteome.6b00140

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  5 in total

1.  'Palaeoshellomics' reveals the use of freshwater mother-of-pearl in prehistory.

Authors:  Jorune Sakalauskaite; Søren H Andersen; Paolo Biagi; Maria A Borrello; Théophile Cocquerez; André Carlo Colonese; Federica Dal Bello; Alberto Girod; Marion Heumüller; Hannah Koon; Giorgia Mandili; Claudio Medana; Kirsty Eh Penkman; Laurent Plasseraud; Helmut Schlichtherle; Sheila Taylor; Caroline Tokarski; Jérôme Thomas; Julie Wilson; Frédéric Marin; Beatrice Demarchi
Journal:  Elife       Date:  2019-05-07       Impact factor: 8.140

2.  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

3.  DISMS2: A flexible algorithm for direct proteome- wide distance calculation of LC-MS/MS runs.

Authors:  Vera Rieder; Bernhard Blank-Landeshammer; Marleen Stuhr; Tilman Schell; Karsten Biß; Laxmikanth Kollipara; Achim Meyer; Markus Pfenninger; Hildegard Westphal; Albert Sickmann; Jörg Rahnenführer
Journal:  BMC Bioinformatics       Date:  2017-03-03       Impact factor: 3.169

4.  Quantitative multiplexed proteomics of Taenia solium cysts obtained from the skeletal muscle and central nervous system of pigs.

Authors:  José Navarrete-Perea; Marta Isasa; Joao A Paulo; Ricardo Corral-Corral; Jeanette Flores-Bautista; Beatriz Hernández-Téllez; Raúl J Bobes; Gladis Fragoso; Edda Sciutto; Xavier Soberón; Steven P Gygi; Juan P Laclette
Journal:  PLoS Negl Trop Dis       Date:  2017-09-25

Review 5.  Advances in decomposing complex metabolite mixtures using substructure- and network-based computational metabolomics approaches.

Authors:  Mehdi A Beniddir; Kyo Bin Kang; Grégory Genta-Jouve; Florian Huber; Simon Rogers; Justin J J van der Hooft
Journal:  Nat Prod Rep       Date:  2021-11-17       Impact factor: 13.423

  5 in total

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