Differentially Expressed Pseudogenes in HIV-1 Infection
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE70785 | GEO | 2016/02/29
SECONDARY ACCESSION(S): PRJNA289529
REPOSITORIES: GEO
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Project description:We analyzed transcriptomic data from infected and uninfected T-cells to identify pseudogenes and their parent genes showing differential expression in HIV-1 infection H9 T-cell line was infected with NL4-3 strain of HIV-1 obtained by transfection of 293T cells. RNA from infected and uninfected cells was extracted 7 days post infection.
2016-02-29 | E-GEOD-70785 | biostudies-arrayexpress
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Project description:Human genome encodes >14,000 pseudogenes that are evolutionary relics and have long been considered as nonfunctional genomic elements. Emerging evidence suggests that pseudogene can exert important regulatory function. However, function of most pseudogenes remains unknown. To fill this gap, we developed an integrated computational pipeline and performed to date the first set of pseudogene-focused CRISPRi screens in human cells. Our screens identified >100 pseudogenes that are important for cell fitness, with a more cell-type specific function compared to parent genes. In addition, we discovered a cancer-testis unitary pseudogene MGAT4EP that interacts with FOXA1, a key regulator in luminal A breast cancer.
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Project description:Genome wide DNA methylation profiling of HIV-infected and uninfected individuals for DNA samples extracted from peripheral blood. The Illumina Infinium Human DNA methylation 450 Beadchip was used to obtain DNA methylation profiles across approximately 480,000 CpGs. Samples included 261 HIV-infected and 117 HIV-uninfected individuals. The goal was to identify genome-wide differentially methylated CpG sites between HIV-infected and uninfected samples. Bisulfite converted DNA from the 378 DNA samples were hybridized to the Illumina Infinium 450K Human Methylation Beadchip. The samples were extracted from whole blood. The subjects including 261 HIV-infected and 117 HIV-uninfected were recruited from the Veteran Aging Cohort Study. All subjects were inform consented and the study protocol was approved by Connecticut Veteran Affair Healthcare System IRB and Yale Human Research Protection Program at Yale University.
2017-02-09 | GSE77696 | GEO
Project description:Systemic and local (oral mucosal) immune responses in acutely infected HIV individuals before the initiation of HAART have not been well characterized. Protein microarrays were used to analyze saliva and plasma from HIV infected and HIV uninfected subjects to identify new biomarkers for HIV disease progression and pathogenesis.
2011-09-09 | GSE24037 | GEO
Project description:We have investigated the dynamic host response to HIV-1 infection by systematically measuring transcriptome, proteome and phosphoproteome expression changes in infected and uninfected SupT1 CD4+ T cells at 5 time-points throughout the HIV-1 replication cycle (from 2h to 24h).
2019-01-22 | PXD005810 | Pride
Project description:Throughout HIV-1 replication cycle, a complex interplay of host-pathogen interactions takes place in the infected cell, leading to production of new virions. The virus modulates the host cellular machinery in order to support its life cycle, while controlling intracellular defense. We have investigated the dynamic host response to HIV-1 infection by systematically measuring transcriptome, proteome and phosphoproteome expression changes in infected and uninfected SupT1 CD4+ T cells at 5 time-points throughout the HIV-1 replication cycle. Genome-wide transcript levels were assessed by RNA-Seq, while protein and phosphoprotein relative abundances were obtained using SILAC mass spectrometry. By the means of a Gaussian mixed-effects model, we stratified host genes based on their gene expression temporal patterns at the three levels, showing how HIV may affect regulation of certain host genes. The results of the implemented integrative analysis of time-series omics data offers a catalogue of dynamic host response to HIV infection allowing a more comprehensive understanding of host-virus interactions. Furthermore, it facilitates identifying novel host factors potentially promoting or restricting HIV replication.
2018-12-31 | GSE100587 | GEO
Project description:Systemic and local (oral mucosal) immune responses in acutely infected HIV individuals before the initiation of HAART have not been well characterized. Protein microarrays were used to analyze saliva and plasma from HIV infected and HIV uninfected subjects to identify new biomarkers for HIV disease progression and pathogenesis. A 507 protein microarray was employed to provide a broad view of cytokines and chemokines in saliva and plasma in acutely HIV infected subjects as compared to uninfected subjects. A custom array derived from the initial results was refined to highlight those molecules with significant change relative to control subjects indicating the potential for biological impact.
2011-09-08 | E-GEOD-24037 | biostudies-arrayexpress
Project description:A 507 protein microarray was employed to provide a broad view of cytokines and chemokines in saliva and plasma in acutely HIV infected subjects as compared to uninfected subjects. A 40 cytokine custom array derived from the initial results was refined to highlight those molecules with significant change relative to control subjects indicating the potential for biological impact. Systemic and local (oral mucosal) immune responses in acutely infected HIV individuals before the initiation of HAART have not been well characterized. Protein microarrays were used to analyze saliva and plasma from HIV infected and HIV uninfected subjects to identify new biomarkers for HIV disease progression and pathogenesis.
2011-09-08 | E-GEOD-24064 | biostudies-arrayexpress
Project description:Pseudogenes are gene copies presumed to mainly be functionless relics of evolution due to acquired deleterious mutations or transcriptional silencing. When transcribed, pseudogenes may encode proteins or enact RNA-intrinsic regulatory mechanisms. However, the extent, characteristics and functional relevance of the human pseudogene transcriptome are unclear. Short-read sequencing platforms have limited power to resolve and accurately quantify pseudogene transcripts owing to the high sequence similarity of pseudogenes and their parent genes. Using deep full-length PacBio cDNA sequencing of normal human tissues and cancer cell lines, we identify here hundreds of novel transcribed pseudogenes. Pseudogene transcripts are expressed in tissue-specific patterns, exhibit complex splicing patterns and contribute to the coding sequences of known genes. We survey pseudogene transcripts encoding intact open reading frames (ORFs), representing potential unannotated protein-coding genes, and demonstrate their efficient translation in cultured cells. To assess the impact of noncoding pseudogenes on the cellular transcriptome, we delete the nucleus-enriched pseudogene PDCL3P4 transcript from HAP1 cells and observe hundreds of perturbed genes. This study highlights pseudogenes as a complex and dynamic component of the transcriptional landscape underpinning human biology and disease.
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