Literature DB >> 28960076

Digging More Missing Proteins Using an Enrichment Approach with ProteoMiner.

Siqi Li1, Yanbin He1, Zhilong Lin1, Shaohang Xu1, Ruo Zhou1, Feng Liang1, Jian Wang1, Huanming Yang1,2, Siqi Liu1, Yan Ren1.   

Abstract

Human Proteome Project (HPP) aims at mapping entire human proteins with a systematic effort upon all the emerging techniques, which would enhance understanding of human biology and lay a foundation for development of medical applications. Until now, 2563 missing proteins (MPs, PE2-4) are still undetected even using the most sensitive approach of protein detection. Herein, we propose that enrichment of low-abundance proteins benefits MPs finding. ProteoMiner is an equalizing technique by reducing high-abundance proteins and enriching low-abundance proteins in biological liquids. With triton X-100/TBS buffer extraction, ProteoMiner enrichment, and peptide fractionation, 20 MPs (at least two non-nested unique peptides with more than eight a.a. length) with 60 unique peptides were identified from four human tissues including eight membrane/secreted proteins and five nucleus proteins. Then 15 of them were confirmed with two non-nested unique peptides (≥9 a.a.) identified by matching well with their chemically synthetic peptides in PRM assay. Hence, these results demonstrated ProteoMiner as a powerful means in discovery of MPs.

Entities:  

Keywords:  LC−MS/MS; ProteoMiner protein enrichment kit; Triton X-100; human tissue; missing proteins

Mesh:

Substances:

Year:  2017        PMID: 28960076     DOI: 10.1021/acs.jproteome.7b00353

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


  6 in total

Review 1.  Progress on Identifying and Characterizing the Human Proteome: 2018 Metrics from the HUPO Human Proteome Project.

Authors:  Gilbert S Omenn; Lydie Lane; Christopher M Overall; Fernando J Corrales; Jochen M Schwenk; Young-Ki Paik; Jennifer E Van Eyk; Siqi Liu; Michael Snyder; Mark S Baker; Eric W Deutsch
Journal:  J Proteome Res       Date:  2018-08-23       Impact factor: 4.466

2.  Research on the Human Proteome Reaches a Major Milestone: >90% of Predicted Human Proteins Now Credibly Detected, According to the HUPO Human Proteome Project.

Authors:  Gilbert S Omenn; Lydie Lane; Christopher M Overall; Ileana M Cristea; Fernando J Corrales; Cecilia Lindskog; Young-Ki Paik; Jennifer E Van Eyk; Siqi Liu; Stephen R Pennington; Michael P Snyder; Mark S Baker; Nuno Bandeira; Ruedi Aebersold; Robert L Moritz; Eric W Deutsch
Journal:  J Proteome Res       Date:  2020-10-19       Impact factor: 4.466

3.  Measurement of Organ-Specific and Acute-Phase Blood Protein Levels in Early Lyme Disease.

Authors:  Yong Zhou; Shizhen Qin; Mingjuan Sun; Li Tang; Xiaowei Yan; Taek-Kyun Kim; Juan Caballero; Gustavo Glusman; Mary E Brunkow; Mark J Soloski; Alison W Rebman; Carol Scavarda; Denise Cooper; Gilbert S Omenn; Robert L Moritz; Gary P Wormser; Nathan D Price; John N Aucott; Leroy Hood
Journal:  J Proteome Res       Date:  2019-11-01       Impact factor: 5.370

4.  Serum proteomics of active tuberculosis patients and contacts reveals unique processes activated during Mycobacterium tuberculosis infection.

Authors:  Jesús Mateos; Olivia Estévez; África González-Fernández; Luis Anibarro; Ángeles Pallarés; Rajko Reljic; Tufária Mussá; Cremildo Gomes-Maueia; Artur Nguilichane; José M Gallardo; Isabel Medina; Mónica Carrera
Journal:  Sci Rep       Date:  2020-03-02       Impact factor: 4.379

5.  The tRNA discriminator base defines the mutual orthogonality of two distinct pyrrolysyl-tRNA synthetase/tRNAPyl pairs in the same organism.

Authors:  Haolin Zhang; Xuemei Gong; Qianqian Zhao; Takahito Mukai; Oscar Vargas-Rodriguez; Huiming Zhang; Yuxing Zhang; Paul Wassel; Kazuaki Amikura; Julie Maupin-Furlow; Yan Ren; Xun Xu; Yuri I Wolf; Kira S Makarova; Eugene V Koonin; Yue Shen; Dieter Söll; Xian Fu
Journal:  Nucleic Acids Res       Date:  2022-04-25       Impact factor: 19.160

6.  Mining the Royal Jelly Proteins: Combinatorial Hexapeptide Ligand Library Significantly Improves the MS-Based Proteomic Identification in Complex Biological Samples.

Authors:  Eliza Matuszewska; Joanna Matysiak; Grzegorz Rosiński; Elżbieta Kędzia; Weronika Ząbek; Jarosław Zawadziński; Jan Matysiak
Journal:  Molecules       Date:  2021-05-07       Impact factor: 4.411

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.