One-Step Label-Free Optical Genosensing System for Sequence-Specific DNA Related to the Human Immunodeficiency Virus Based on the Measurements of Light Scattering Signals of Gold Nanorods

2008 ◽  
Vol 80 (22) ◽  
pp. 8424-8430 ◽  
Author(s):  
Wei He ◽  
Cheng Zhi Huang ◽  
Yuan Fang Li ◽  
Jian Ping Xie ◽  
Rong Ge Yang ◽  
...  
2009 ◽  
Vol 83 (18) ◽  
pp. 9283-9295 ◽  
Author(s):  
Eric Y. Chan ◽  
Jennifer N. Sutton ◽  
Jon M. Jacobs ◽  
Andrey Bondarenko ◽  
Richard D. Smith ◽  
...  

ABSTRACT We report on a proteomic analysis of ex vivo human immunodeficiency virus (HIV) type 1 infection in human primary CD4 cells by shotgun liquid chromatography-tandem mass spectrometry analysis, revealing two distinct proteomic profiles at two phases of virus replication. Relative to mock-infected cells, 168 signature proteins exhibited abundance changes at the first sign of Gag p24 production (8 h postinfection [p.i.]) or the peak of virus replication (24 h p.i.); interestingly, most of the changes were exclusive to only one phase of virus replication. Based on characterization by functional ontology and known human-HIV protein interactions, we observed the enrichment for protein abundance increases pertaining to protein synthesis and nucleasomal reorganization amid an otherwise placid cellular proteome at the first sign of HIV replication. In contrast, we observed indications of decreased protein turnover, concomitant with heightened DNA repair activities and preludes to apoptosis, in the presence of robust virus replication. We also observed hints of disruptions in protein and small molecule trafficking. Our label-free proteomic strategy allowed us to perform multiplexed comparisons—we buttressed our detection specificity with the use of a reverse transcriptase inhibitor as a counterscreen, enabling highlighting of cellular protein abundance changes unique to robust virus replication as opposed to viral entry. In conjunction with complementary high-throughput screens for cellular partners of HIV, we put forth a model pinpointing specific rerouting of cellular biosynthetic, energetic, and trafficking pathways as HIV replication accelerates in human primary CD4 cells.


The Analyst ◽  
2016 ◽  
Vol 141 (10) ◽  
pp. 2998-3003 ◽  
Author(s):  
Wen Yang ◽  
Jianniao Tian ◽  
Lijun Wang ◽  
Shui Fu ◽  
Hongyun Huang ◽  
...  

A label-free and sensitive fluorescence biosensing platform for HIV-DNA detection has been fabricated.


2016 ◽  
Vol 3 (2) ◽  
Author(s):  
Sausan Azzam ◽  
Daniela Schlatzer ◽  
Sean Maxwell ◽  
Xiaolin Li ◽  
Douglas Bazdar ◽  
...  

Abstract Background.  Human immunodeficiency virus (HIV) patients who experience poor CD4 T-cell recovery despite viral suppression during antiretroviral therapy (ART) are known as immunological nonresponders. The molecular mechanism(s) underlying incomplete immune restoration during ART is not fully understood. Methods.  Label-free quantitative proteomics on single-cell type central memory T cells were used to reveal relative protein abundance changes between nonresponder, responder (good CD4 recovery during ART), and healthy individuals. Proteome changes were analyzed by protein pathway and network analyses and verified by selected reaction monitoring mass spectrometry. Results.  Proteomic analysis across groups detected 155 significant proteins from 1500 nonredundant proteins. Pathway and network analyses revealed dysregulation in mammalian target of rapamycin and protein translation-related proteins and decreases in stress response-related proteins for nonresponder subjects compared with responders and controls. Actin cytoskeleton signaling was increased for HIV responders and nonresponders alike. Conclusions.  Memory T cells from immunologic nonresponders have increases in proteins related to motility and protein translation and decreases in proteins capable of responding to cellular stresses compared with responders and controls. The potential for T cells to manage stress and modulate metabolism may contribute to their capacity to reconstitute a lymphopenic host.


Author(s):  
Hong Zhang ◽  
Pengfei Liu ◽  
Huifang Wang ◽  
Xiaoming Ji ◽  
Mingqin Zhao ◽  
...  

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