Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptomic Analysis of HIV-Infected Cells

ABSTRACT: Transcriptomic Analysis of HIV-Infected Cells

PROVIDER: PRJNA892211 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcriptomic Analysis of HIV-Infected Cells

Project description:Transcriptomic Analysis of HIV-Infected Cells

| PRJNA892209 | ENA

Single cell analysis on the HIV-infected kidney cells

Project description:HIV-vpr expression was mainly detected in tubule cells after infection. By comparing the HIV-infected and wild type kidney cells on single cell level, a strong shift was observed in the PT S3 segment cell population. Transcription factor analysis revealed Trp53 playing important regulation role in HIV infected cells.

2023-01-01 | GSE212233 | GEO

Transcriptomic analysis of Hsp90 inhibitor (Hsp90i)-treated HIV-infected pediatric tonsillar mononuclear cells

Project description:Transcriptomic analysis of Hsp90 inhibitor (Hsp90i)-treated HIV-infected pediatric tonsillar mononuclear cells

| PRJNA737514 | ENA

HIV-1 SortSeq identifies HIV-1-infected cells from HIV-1-infected individuals

Project description:Using HIV-1 SortSeq, we identified HIV-1-infected cells containing inducible HIV-1 for RNAseq from resting CD4+ T cells treated with PMA/ionomycin for 16 hours from HIV-1-infected, antiretroviral therapy treated, virally suppressed individuals. Using custom bioinformatic pipeline, we identified HIV-1 genomic RNA, host RNA and HIV-1-host chimeric RNA junctions.

2020-05-15 | GSE126230 | GEO

HIV-1 SortSeq identifies HIV-1-infected cells from HIV-1-infected individuals

Project description:HIV-1 SortSeq identifies HIV-1-infected cells from HIV-1-infected individuals

| PRJNA521359 | ENA

Transcriptomic Analysis of Hofbauer Cells from Human Placental Tissue Infected with HIV, CMV, and ZIKV

Project description:This study involves the isolation of Hofbauer cells from human placental tissue at different gestation periods and their infection with HIV, CMV, and ZIKV. The transcriptomic profiles of these infected cells were analyzed using RNA-sequencing to identify differentially expressed genes and pathways.

2024-09-20 | GSE274414 | GEO

Single cell analysis on the HIV-infected kidney cells

Project description:Single cell analysis on the HIV-infected kidney cells

| PRJNA874685 | ENA

Extensive proteomic and transcriptomic changes quench the TCR/CD3 activation signal of latently HIV-1 infected T cells

Project description:HIV-1 latency is a critical hurdle to a cure for HIV-1 infection, but our understanding of the molecular biology of latency control is still incomplete. We provide experimental evidence that HIV-1 infection of primary T cells and T cell lines generates a substantial amount of TCR/CD3 activation-inert latently infected T cells. Proteomic and genome-wide RNA-level analysis comparing CD3-responsive and CD3-inert latently HIV-1 infected T cells, followed by software-based data integration suggested two phenomena to govern CD3-inertness: (i) the presence of extensive transcriptomic noise that affected the efficacy of CD3 signaling and (ii) defined changes to specific signaling pathways. Validation experiments demonstrated that compounds known to increase transcriptomic noise further diminished the ability of TCR/CD3 stimulation to trigger HIV-1 reactivation. Conversely, targeting specific central nodes in the generated PINs such as STAT3 improved the ability of TCR/CD3 activation to trigger HIV-1 reactivation in T cell lines and primary T cells. The data emphasize that latent HIV-1 infection is largely the result of extensive, stable biomolecular changes to the signaling network of the host T cells harboring latent HIV-1 infection events. We discuss the implications of these findings for the idea of using single drug therapies to trigger HIV-1 reactivation in the latent T cell reservoir in patients.

2020-06-19 | GSE152788 | GEO

Multiomics profiling of HIV-infected cells

Project description:Multiomics profiling of HIV-infected cells

| PRJNA764194 | ENA

Transcriptomic Analysis of Hofbauer Cells from Human Placental Tissue Infected with HIV, CMV, and ZIKV

Project description:Transcriptomic Analysis of Hofbauer Cells from Human Placental Tissue Infected with HIV, CMV, and ZIKV

| PRJNA1146376 | ENA