Literature DB >> 14529841

Global analysis of cellular transcription following infection with an HIV-based vector.

Richard Mitchell1, Chih-Yuan Chiang, Charles Berry, Frederic Bushman.   

Abstract

We have examined the changes in cellular transcription resulting from infection with HIV-based vectors. Previous work suggested that the incoming viral genome may under some circumstances be detected as DNA damage, so to explore this possibility, we compared the transcriptional response to infection with an HIV-based vector to the response to treatment with the DNA-damaging agent etoposide. Expression levels of about 12,000 cellular RNA transcripts were determined in a human B-cell line at different times after either treatment. Statistical analysis revealed that the infection with the lentivirus vector resulted in quite modest changes in gene expression. Treatment with etoposide, in contrast, caused drastic changes in expression of genes known or inferred to be involved in apoptosis. Statistically significant though subtle parallels in the cellular transcriptional responses to etoposide treatment and HIV-vector infection could be detected. Several further data sets analyzing infections with HIV-based vectors or wild-type HIV-1 showed similar modest effects on cellular transcription and very modest parallels among different data sets. These findings establish that HIV-vector or HIV-1 infection has remarkably little effect on cellular transcription. The statistical methods described here may be of wide use in mining microarray data sets. Our observations support the idea that gene therapy with HIV-based vectors should not be particularly toxic to cells due to disruption of cellular transcription.

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Year:  2003        PMID: 14529841     DOI: 10.1016/s1525-0016(03)00215-6

Source DB:  PubMed          Journal:  Mol Ther        ISSN: 1525-0016            Impact factor:   11.454


  12 in total

1.  A high-throughput method for cloning and sequencing human immunodeficiency virus type 1 integration sites.

Authors:  Sanggu Kim; Yein Kim; Teresa Liang; Janet S Sinsheimer; Samson A Chow
Journal:  J Virol       Date:  2006-09-13       Impact factor: 5.103

Review 2.  Host Factors in Retroviral Integration and the Selection of Integration Target Sites.

Authors:  Robert Craigie; Frederic D Bushman
Journal:  Microbiol Spectr       Date:  2014-12

3.  Analysis of HIV-1 expression level and sense of transcription by high-throughput sequencing of the infected cell.

Authors:  Gregory Lefebvre; Sébastien Desfarges; Frédéric Uyttebroeck; Miguel Muñoz; Niko Beerenwinkel; Jacques Rougemont; Amalio Telenti; Angela Ciuffi
Journal:  J Virol       Date:  2011-04-20       Impact factor: 5.103

4.  Proteomic studies reveal coordinated changes in T-cell expression patterns upon infection with human immunodeficiency virus type 1.

Authors:  Jeffrey H Ringrose; Rienk E Jeeninga; Ben Berkhout; Dave Speijer
Journal:  J Virol       Date:  2008-02-20       Impact factor: 5.103

5.  Human immunodeficiency virus integration efficiency and site selection in quiescent CD4+ T cells.

Authors:  Dimitrios N Vatakis; Sanggu Kim; Namshin Kim; Samson A Chow; Jerome A Zack
Journal:  J Virol       Date:  2009-04-15       Impact factor: 5.103

6.  Interactions of host proteins with the murine leukemia virus integrase.

Authors:  Barbara Studamire; Stephen P Goff
Journal:  Viruses       Date:  2010-05-05       Impact factor: 5.048

7.  Monocyte-specific accessibility of a matrix attachment region in the tumor necrosis factor locus.

Authors:  Sebastian Biglione; Alla V Tsytsykova; Anne E Goldfeld
Journal:  J Biol Chem       Date:  2011-10-25       Impact factor: 5.157

8.  Gene activity in primary T cells infected with HIV89.6: intron retention and induction of genomic repeats.

Authors:  Scott Sherrill-Mix; Karen E Ocwieja; Frederic D Bushman
Journal:  Retrovirology       Date:  2015-09-17       Impact factor: 4.602

9.  Transcriptional Response of Human Neurospheres to Helper-Dependent CAV-2 Vectors Involves the Modulation of DNA Damage Response, Microtubule and Centromere Gene Groups.

Authors:  Stefania Piersanti; Romina Burla; Valerio Licursi; Catarina Brito; Mattia La Torre; Paula M Alves; Daniel Simao; Carla Mottini; Sara Salinas; Rodolfo Negri; Enrico Tagliafico; Eric J Kremer; Isabella Saggio
Journal:  PLoS One       Date:  2015-07-24       Impact factor: 3.240

10.  Retroviral DNA integration: ASLV, HIV, and MLV show distinct target site preferences.

Authors:  Rick S Mitchell; Brett F Beitzel; Astrid R W Schroder; Paul Shinn; Huaming Chen; Charles C Berry; Joseph R Ecker; Frederic D Bushman
Journal:  PLoS Biol       Date:  2004-08-17       Impact factor: 8.029

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