Literature DB >> 34985656

The Cultured TCM Model of HIV Latency.

Alberto Bosque1.   

Abstract

Models to study HIV latency have improved our understanding of the mechanisms involved in this process and have helped in the discovery and development of therapeutic strategies to eradicate HIV. Primary cell models are based on the in vitro generation of latently infected cells using CD4T cells isolated from blood, lymph nodes or other lymphoid organs. In this chapter, we describe the generation of HIV latently infected memory CD4T cells using blood naïve CD4T cells from peripheral blood with a phenotype resembling that of central memory CD4T cells. This model can be used to investigate the mechanisms involved in latency as well to develop strategies to target it.
© 2022. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Central Memory CD4T cells; Latency; Latency-reversal; Replication-competent HIV; Reservoirs

Mesh:

Year:  2022        PMID: 34985656     DOI: 10.1007/978-1-0716-1871-4_4

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  31 in total

1.  An in vitro system to model the establishment and reactivation of HIV-1 latency.

Authors:  Alessandra Marini; Jill M Harper; Fabio Romerio
Journal:  J Immunol       Date:  2008-12-01       Impact factor: 5.422

2.  Induction of HIV-1 latency and reactivation in primary memory CD4+ T cells.

Authors:  Alberto Bosque; Vicente Planelles
Journal:  Blood       Date:  2008-10-10       Impact factor: 22.113

3.  Modeling HIV-1 Latency in Primary T Cells Using a Replication-Competent Virus.

Authors:  Laura J Martins; Pawel Bonczkowski; Adam M Spivak; Ward De Spiegelaere; Camille L Novis; Ana Beatriz DePaula-Silva; Eva Malatinkova; Wim Trypsteen; Alberto Bosque; Linos Vanderkerckhove; Vicente Planelles
Journal:  AIDS Res Hum Retroviruses       Date:  2015-07-14       Impact factor: 2.205

4.  Influence of Biological Sex, Age, and HIV Status in an In Vitro Primary Cell Model of HIV Latency Using a CXCR4 Tropic Virus.

Authors:  Amanda B Macedo; Rachel S Resop; Laura J Martins; Matthew A Szaniawski; Eric S Sorensen; Adam M Spivak; Douglas F Nixon; R Brad Jones; Vicente Planelles; Alberto Bosque
Journal:  AIDS Res Hum Retroviruses       Date:  2018-08-10       Impact factor: 2.205

5.  Establishment of HIV latency in primary CD4+ cells is due to epigenetic transcriptional silencing and P-TEFb restriction.

Authors:  Mudit Tyagi; Richard John Pearson; Jonathan Karn
Journal:  J Virol       Date:  2010-04-21       Impact factor: 5.103

6.  CCR7 ligands CCL19 and CCL21 increase permissiveness of resting memory CD4+ T cells to HIV-1 infection: a novel model of HIV-1 latency.

Authors:  Suha Saleh; Ajantha Solomon; Fiona Wightman; Miranda Xhilaga; Paul U Cameron; Sharon R Lewin
Journal:  Blood       Date:  2007-09-19       Impact factor: 22.113

7.  Small-molecule screening using a human primary cell model of HIV latency identifies compounds that reverse latency without cellular activation.

Authors:  Hung-Chih Yang; Sifei Xing; Liang Shan; Karen O'Connell; Jason Dinoso; Anding Shen; Yan Zhou; Cynthia K Shrum; Yefei Han; Jun O Liu; Hao Zhang; Joseph B Margolick; Robert F Siliciano
Journal:  J Clin Invest       Date:  2009-10-01       Impact factor: 14.808

8.  A flexible model of HIV-1 latency permitting evaluation of many primary CD4 T-cell reservoirs.

Authors:  Kara G Lassen; Andrew M Hebbeler; Darshana Bhattacharyya; Michael A Lobritz; Warner C Greene
Journal:  PLoS One       Date:  2012-01-24       Impact factor: 3.240

9.  Reactivation of latent HIV-1 in central memory CD4⁺ T cells through TLR-1/2 stimulation.

Authors:  Camille L Novis; Nancie M Archin; Maria J Buzon; Eric Verdin; June L Round; Mathias Lichterfeld; David M Margolis; Vicente Planelles; Alberto Bosque
Journal:  Retrovirology       Date:  2013-10-24       Impact factor: 4.602

10.  Replication competent virus as an important source of bias in HIV latency models utilizing single round viral constructs.

Authors:  Pawel Bonczkowski; Ward De Spiegelaere; Alberto Bosque; Cory H White; Anouk Van Nuffel; Eva Malatinkova; Maja Kiselinova; Wim Trypsteen; Wojciech Witkowski; Jolien Vermeire; Bruno Verhasselt; Laura Martins; Christopher H Woelk; Vicente Planelles; Linos Vandekerckhove
Journal:  Retrovirology       Date:  2014-08-21       Impact factor: 4.602

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