Literature DB >> 30113170

Identification of Missing Proteins in Human Olfactory Epithelial Tissue by Liquid Chromatography-Tandem Mass Spectrometry.

Heeyoun Hwang1,2,3, Ji Eun Jeong1,2, Hyun Kyoung Lee1,2, Ki Na Yun1,4, Hyun Joo An2,3, Bonghee Lee5,6, Young-Ki Paik7, Tae Seok Jeong8, Gi Taek Yee8, Jin Young Kim1, Jong Shin Yoo1,2.   

Abstract

We performed proteomic analyses of human olfactory epithelial tissue to identify missing proteins using liquid chromatography-tandem mass spectrometry. Using a next-generation proteomic pipeline with a < 1.0% false discovery rate at the peptide and protein levels, we identified 3731 proteins, among which five were missing proteins (P0C7M7, P46721, P59826, Q658L1, and Q8N434). We validated the identified missing proteins using the corresponding synthetic peptides. No olfactory receptor (OR) proteins were detected in olfactory tissue, suggesting that detection of ORs would be very difficult. We also identified 49 and 50 alternative splicing variants mapped at the neXtProt and GENCODE databases, respectively, and 2000 additional single amino acid variants. This data set is available at the ProteomeXchange consortium via PRIDE repository (PXD010025).

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Year:  2018        PMID: 30113170     DOI: 10.1021/acs.jproteome.8b00408

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


  8 in total

1.  Solid-Phase Peptide Capture and Release for Bulk and Single-Molecule Proteomics.

Authors:  Cecil J Howard; Brendan M Floyd; Angela M Bardo; Jagannath Swaminathan; Edward M Marcotte; Eric V Anslyn
Journal:  ACS Chem Biol       Date:  2020-05-14       Impact factor: 5.100

Review 2.  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

3.  Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0.

Authors:  Eric W Deutsch; Lydie Lane; Christopher M Overall; Nuno Bandeira; Mark S Baker; Charles Pineau; Robert L Moritz; Fernando Corrales; Sandra Orchard; Jennifer E Van Eyk; Young-Ki Paik; Susan T Weintraub; Yves Vandenbrouck; Gilbert S Omenn
Journal:  J Proteome Res       Date:  2019-10-21       Impact factor: 4.466

4.  Progress on Identifying and Characterizing the Human Proteome: 2019 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; Stephen Pennington; Michael P Snyder; Mark S Baker; Eric W Deutsch
Journal:  J Proteome Res       Date:  2019-09-13       Impact factor: 4.466

Review 5.  Applications of Tandem Mass Spectrometry (MS/MS) in Protein Analysis for Biomedical Research.

Authors:  Anca-Narcisa Neagu; Madhuri Jayathirtha; Emma Baxter; Mary Donnelly; Brindusa Alina Petre; Costel C Darie
Journal:  Molecules       Date:  2022-04-08       Impact factor: 4.927

6.  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

7.  Defect in cytosolic Neu2 sialidase abrogates lipid metabolism and impairs muscle function in vivo.

Authors:  Mijung Oh; Dae-In Ha; Chaeyeon Son; Jeong Gu Kang; Heeyoun Hwang; Su Bin Moon; Minjeong Kim; Jihae Nam; Jung Soo Kim; Sang Yong Song; Yong-Sam Kim; Sangwoo Park; Jong Shin Yoo; Jeong-Heon Ko; Kyoungsook Park
Journal:  Sci Rep       Date:  2022-02-25       Impact factor: 4.996

8.  Machine Learning Classifies Core and Outer Fucosylation of N-Glycoproteins Using Mass Spectrometry.

Authors:  Heeyoun Hwang; Hoi Keun Jeong; Hyun Kyoung Lee; Gun Wook Park; Ju Yeon Lee; Soo Youn Lee; Young-Mook Kang; Hyun Joo An; Jeong Gu Kang; Jeong-Heon Ko; Jin Young Kim; Jong Shin Yoo
Journal:  Sci Rep       Date:  2020-01-15       Impact factor: 4.379

  8 in total

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