Literature DB >> 19003795

Using enrichment index for quality control of secretory protein sample and identification of secretory proteins.

Yong Chen1, Bei Gu, Shuzhen Wu, Wei Sun, Sucan Ma, Yuqin Liu, Youhe Gao.   

Abstract

Analysis of secretory proteins is an important area in proteomic research. We propose that a good secretory protein sample should be enriched with known secretory proteins, and a secretory protein should be enriched in the secretory protein sample compared with its corresponding soluble cell lysate. Positive identifications of proteins were subjected to quantitation of spectral counts, which reflect relative protein abundance. Enrichment index of the sample (EIS) and the enrichment index for protein (EIP) were obtained by comparing proteins identified in the secretory protein sample and those in the soluble cell lysate sample. The quality of the secretory protein sample can be represented by EIS. EIP was used to identify the secretory proteins.The secretory proteins from mouse dendritic cell sarcoma (DCS) were analyzed by MS. The EISs of two samples were 75.4 and 84.65, respectively. 72 proteins were significantly enriched in secretory protein samples, of which 42 proteins were either annotated in Swiss-Prot and/or predicted by signal peptides to be secretory. In the remaining 30 proteins, 12 and 15 proteins were positively predicted by SecretomeP and ProP, respectively, and 5 proteins were positive by both methods. Furthermore, 11 proteins were found to be present in exosome in other studies that involved mice dendritic cell lines. We suggest that this assessment method is helpful for systemic research of secretory proteins and biomarker discovery for diseases such as cancer. Copyright (c) 2009 John Wiley & Sons, Ltd.

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Year:  2009        PMID: 19003795     DOI: 10.1002/jms.1517

Source DB:  PubMed          Journal:  J Mass Spectrom        ISSN: 1076-5174            Impact factor:   1.982


  3 in total

1.  Absolute quantitation of isoforms of post-translationally modified proteins in transgenic organism.

Authors:  Yaojun Li; Yiwei Shu; Changchao Peng; Lin Zhu; Guangyu Guo; Ning Li
Journal:  Mol Cell Proteomics       Date:  2012-03-22       Impact factor: 5.911

2.  Quantitative mass spectrometry-based proteomics reveals the dynamic range of primary mouse astrocyte protein secretion.

Authors:  Todd M Greco; Steven H Seeholzer; Adrian Mak; Lynn Spruce; Harry Ischiropoulos
Journal:  J Proteome Res       Date:  2010-05-07       Impact factor: 4.466

3.  Identification of astrocyte secreted proteins with a combination of shotgun proteomics and bioinformatics.

Authors:  James A Dowell; Jeffrey A Johnson; Lingjun Li
Journal:  J Proteome Res       Date:  2009-08       Impact factor: 4.466

  3 in total

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