Evidence map›Paper›PMID 27195445›Full record

ArticleProteomics2016

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

Weiming Yang, Brooks Jackson, Hui Zhang

Open access · greenAbstract read
In one paragraph

Article in Proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Barriers for HIV Cure: The Latent Reservoir.AIDS research and human retroviruses · 2018
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Weiming YangDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Brooks JacksonDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Hui ZhangDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Johns Hopkins Medicine · US

Funding

Shared Resource CoresP01HL107153 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI ZHANG, HUI · 2011 to 2017
$16.8M
Proteome Characterization Center: A Genoproteomics Pipeline for Cance ResearchU24CA160036 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2011 to 2016
$10.7M
Clinical and Analytical Validation of Cancer BiomarkersU24CA115102 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI · 2005 to 2021
$7.4M
Glycoprotein biomarkers for the early detection of aggressive prostate cancerU01CA152813 · NCI · JOHNS HOPKINS UNIVERSITY · PI ZHANG, HUI · 2010 to 2021
$6.2M
Johns Hopkins University-Guangxi, China Clinical Trials UnitU01AI069482 · NIAID · JOHNS HOPKINS UNIVERSITY · PI JACKSON, JAY B · 2007 to 2011
$4.7M
Probing the Connections between Monosaccharide Analogs, Sialic Acid Metabolism, aR01CA112314 · NCI · JOHNS HOPKINS UNIVERSITY · PI YAREMA, KEVIN J · 2005 to 2022
$4.5M
Targeting Latently Infected Primary Cells using Integrated GlycoproteomicsR21AI122382 · NIAID · JOHNS HOPKINS UNIVERSITY · PI ZHANG, HUI · 2016 to 2017
$446k
NCI NIH HHS R01 CA112314NCI NIH HHS U01 CA152813NCI NIH HHS U24 CA115102NCI NIH HHS U24 CA160036NHLBI NIH HHS P01 HL107153NIAID NIH HHS R21 AI122382NIAID NIH HHS U01 AI069482
6 · The paper itself

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.

Indexed as

Virus LatencyCell LineChromatography, LiquidGlycoproteinsHIV-1HIV InfectionsHumansTandem Mass SpectrometryT-LymphocytesGlycoproteinsGlycoproteinsGlycoproteomicsHIVLabel-free quantitationLatency

Identifiers

PMID27195445
PMCPMC5088786
OpenAlexW2395782611

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.