Dataset Information

In depth analysis of the interaction of HIV-1 with cellular microRNA biogenesis and effector mechanisms

ABSTRACT: The question of how HIV-1 interfaces with cellular microRNA (miRNA) biogenesis and effector mechanisms has been highly controversial. Here, we first used deep sequencing of small RNAs present in two different infected cell lines (TZM-bl and C8166) and two types of primary human cells (CD4+ PBMCs and macrophages) to unequivocally demonstrate that HIV-1 does not encode any viral miRNAs. Perhaps surprisingly, we also observed that infection of T cells by HIV-1 has only a modest effect on the expression of cellular miRNAs at early times after infection. Comprehensive analysis of miRNA binding to the HIV-1 genome using the photoactivatable ribonucleoside-induced crosslinking and immunoprecipitation (PAR-CLIP) technique revealed several binding sites for cellular miRNAs, a subset of which were shown to be capable of mediating miRNA-mediated repression of gene expression. However, the main finding from this analysis is that HIV-1 transcripts are largely refractory to miRNA binding, most probably due to extensive viral RNA secondary structure. Together, these data demonstrate that HIV-1 neither encodes viral miRNAs nor strongly influences cellular miRNA expression, at least early after infection, and imply that HIV-1 transcripts have evolved to avoid inhibition by pre-existing cellular miRNAs by adopting extensive RNA secondary structures that occlude most potential miRNA binding sites.

ORGANISM(S): Homo sapiens

PROVIDER: GSE59944 | GEO | 2014/07/31

SECONDARY ACCESSION(S): PRJNA257101

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Assessment of the extent to which the altered profiles of miRNA expression influence viral replication and latency, as well as the efficiency of host defenses, may be useful for understanding the basis of the HIV-1-related alterations in cellular physiology and immunologic control. To this end, three patient groups were enrolled. One group consisted of subjects who were classified as M-CM-)lite control long-term non-progressors (M-CM-)LTNP). A second study group was HIV-1-positive subjects, who were antiretroviral therapy naive. A third group was multiply exposed to HIV-1, but uninfected (MEU). This study allowed us to investigate the existence of a CD4+T- lymphocytes miRNAs signature able to discriminate among different stages of HIV-1 infection, and to evaluate whether the exposure to HIV-1 antigen is sufficient to change the miRNA profile. MicroRNAs inhibit HIV-1 expression by either modulating host innate immunity or by directly interfering with viral mRNAs. We evaluated the expression of 377 miRNAs in CD4+ T cells from HIV-1 M-CM-)lite LTNP (M-CM-)LTNP), naive and multiply exposed uninfected individuals (MEU) and we observed that the M-CM-)LTNP patients clustered with naive, whereas all MEU subjects grouped together. The discriminatory power of miRNAs showed that 21 miRNAs significantly differentiated M-CM-)LTNP from MEU and 23 miRNAs distinguished naive from MEU, while only 1 (miR-155) discriminated M-CM-)LTNP from naive. We proposed that miRNA expression may discriminate between HIV-1 infected and exposed but negative individuals. Analysis of miRNAs expression after exposure of healthy CD4+T cells to gp120 in vitro confirmed our hypothesis that a miRNA profile could be the result not only of a productive infection, but also of the exposure to HIV-1 products that leave a signature in immune cells. The comparison of normalized Dicer and Drosha expression in ex vivo and in vitro conditions revealed that these enzymes did not affect the change of miRNA profiles, supporting the existence of a Dicer-independent biogenesis pathway. We have compared miRNA profiles of CD4+ T-lymphocytes from 18 HIV-1-exposed subjects with healthy CD4+ T-lymphocytes following exposure to gp120 using a RT-qPCR assay.

Project description:Assessment of the extent to which the altered profiles of miRNA expression influence viral replication and latency, as well as the efficiency of host defenses, may be useful for understanding the basis of the HIV-1-related alterations in cellular physiology and immunologic control. To this end, three patient groups were enrolled. One group consisted of subjects who were classified as élite control long-term non-progressors (éLTNP). A second study group was HIV-1-positive subjects, who were antiretroviral therapy naive. A third group was multiply exposed to HIV-1, but uninfected (MEU). This study allowed us to investigate the existence of a CD4+T- lymphocytes miRNAs signature able to discriminate among different stages of HIV-1 infection, and to evaluate whether the exposure to HIV-1 antigen is sufficient to change the miRNA profile. MicroRNAs inhibit HIV-1 expression by either modulating host innate immunity or by directly interfering with viral mRNAs. We evaluated the expression of 377 miRNAs in CD4+ T cells from HIV-1 élite LTNP (éLTNP), naive and multiply exposed uninfected individuals (MEU) and we observed that the éLTNP patients clustered with naive, whereas all MEU subjects grouped together. The discriminatory power of miRNAs showed that 21 miRNAs significantly differentiated éLTNP from MEU and 23 miRNAs distinguished naive from MEU, while only 1 (miR-155) discriminated éLTNP from naive. We proposed that miRNA expression may discriminate between HIV-1 infected and exposed but negative individuals. Analysis of miRNAs expression after exposure of healthy CD4+T cells to gp120 in vitro confirmed our hypothesis that a miRNA profile could be the result not only of a productive infection, but also of the exposure to HIV-1 products that leave a signature in immune cells. The comparison of normalized Dicer and Drosha expression in ex vivo and in vitro conditions revealed that these enzymes did not affect the change of miRNA profiles, supporting the existence of a Dicer-independent biogenesis pathway.

Project description:MicroRNAs (miRNAs) repress the expression levels of genes by binding to mRNA transcripts, acting as master regulators of cellular processes. Differential expression of miRNAs has been linked to viral-associated diseases involving members of the hepacivirus, herpesvirus, and retrovirus families. In contrast, limited biological and molecular information has been reported on the potential role of cellular miRNAs in the lifecycle of influenza A viruses (infA). In this study, we hypothesize that elucidating the miRNA expression signatures induced by low-pathogenic swine-origin influenza A virus (S-OIV) pandemic H1N1 (2009) and highly pathogenic avian-origin (A-OIV) H7N7 (2003) infections could reveal temporal and strain-specific miRNA fingerprints during the viral lifecycle, shedding important insights into the potential role of cellular miRNAs in host-infA interactions. Using a microfluidic microarray platform, we profiled cellular miRNA expression in human A549 cells infected with S- and A-OIVs at multiple time-points during the viral lifecycle, including global gene expression profiling during S-OIV infection. Using target prediction and pathway enrichment analyses, we identified the key cellular pathways associated with the differentially expressed miRNAs and predicted mRNA targets during infA infection, including immune system, cell proliferation, apoptosis, cell cycle, and DNA replication and repair. By identifying the specific and dynamic molecular phenotypic changes (microRNAome) triggered by S- and A-OIV infection in human cells, we provide experimental evidence demonstrating a series of temporal- and strain-specific host molecular responses involving different combinatorial contributions of multiple cellular miRNAs. Our results also identify novel potential exosomal miRNA biomarkers associated with pandemic S-OIV and deadly A-OIV-host infection. Control (mock-infected) samples: 12 (2 technical replicates, averaged), Infected samples: 6, for each time-point (0, 4, 8, 24, 48 and 72 hours post infection). The experiment was performed in six replicates.

Dataset Information

In depth analysis of the interaction of HIV-1 with cellular microRNA biogenesis and effector mechanisms

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure