Identification of glycoproteins associated with HIV latently infected cells using quantitative glycoproteomics

Weiming Yang; Brooks Jackson; Hui Zhang

doi:10.1002/pmic.201500215

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Identification of glycoproteins associated with HIV latently infected cells using quantitative glycoproteomics

Journal article

Open access

Peer reviewed

Identification of glycoproteins associated with HIV latently infected cells using quantitative glycoproteomics

Weiming Yang, Brooks Jackson and Hui Zhang

Proteomics (Weinheim), Vol.16(13), pp.1872-1880

07/2016

DOI: 10.1002/pmic.201500215

PMCID: PMC5088786

PMID: 27195445

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http://doi.org/10.1002/pmic.201500215View

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Abstract

HIV infection is not curable due to viral latency. Compelling reports suggest that there is a distinct profile of surface proteins that can be used for targeting latently infected cells. We have recently reported that glycoproteins were differentially secreted from HIV latently infected ACH-2 cells compared to the parental A3.01 cells. This finding suggests that glyco-phenotype might be different in these two cell lines. To determine the difference, the ACH-2 and A3.01 cell lines were subjected to a glycoproteomic analysis. A total number of 940 unique N-linked glycosite-containing peptides from 515 glycoproteins were identified. Among the glycoproteins, 365 and 104 were annotated as cell surface and membrane-associated proteins, respectively. Quantitative LC-MS/MS analysis revealed a change of 236 glycosite-containing peptides from 172 glycoproteins between the two cell lines without reactivation. Bioinformatic analysis suggests that cell adhesion, immune response, glycoprotein metabolic process, cell motion, and cell activation were associated with the changed proteins. After reactivation of latency, changes in glycosite-containing peptides were observed in both cell lines. The changed proteins suggest that cell migration, response to wounding and immune response might be impaired in reactivated latently infected cells. Glycoproteomics merits future application using primary cells to discover reveal mechanisms in HIV pathogenesis.

Cell Line

Tandem Mass Spectrometry

HIV-1 - physiology

T-Lymphocytes - metabolism

Virus Latency

Humans

Glycoproteins - metabolism

Chromatography, Liquid

Glycoproteins - analysis

T-Lymphocytes - virology

HIV Infections - metabolism

Details

Title: Subtitle: Identification of glycoproteins associated with HIV latently infected cells using quantitative glycoproteomics
Creators: Weiming Yang - Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
Brooks Jackson - Medical School, University of Minnesota, Minneapolis, MN, USA
Hui Zhang - Johns Hopkins University
Resource Type: Journal article
Publication Details: Proteomics (Weinheim), Vol.16(13), pp.1872-1880
DOI: 10.1002/pmic.201500215
PMID: 27195445
PMCID: PMC5088786
NLM abbreviation: Proteomics
ISSN: 1615-9853
eISSN: 1615-9861
Publisher: Germany
Grant note: U01 CA152813 / NCI NIH HHS U01 AI069482 / NIAID NIH HHS U24 CA160036 / NCI NIH HHS P01 HL107153 / NHLBI NIH HHS R21 AI122382 / NIAID NIH HHS U24 CA115102 / NCI NIH HHS R01 CA112314 / NCI NIH HHS U24 CA210985 / NCI NIH HHS
Language: English
Date published: 07/2016
Academic Unit: Pathology; VPMA - Administration
Record Identifier: 9984047991902771

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