Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Characterization of the epitranscriptomic landscape of HIV-infected cells I

ABSTRACT: Characterization of the epitranscriptomic landscape of HIV-infected cells I

PROVIDER: PRJNA660416 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR12553404.fastq.gz	Fastqsanger.gz
	SRR12553405.fastq.gz	Fastqsanger.gz
	SRR12553406.fastq.gz	Fastqsanger.gz
	SRR12553407.fastq.gz	Fastqsanger.gz
	SRR12553408.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 6

Similar Datasets

Characterization of the epitranscriptomic landscape of HIV-infected cells

Project description:Characterization of the epitranscriptomic landscape of HIV-infected cells

| PRJNA660413 | ENA

Characterization of the epitranscriptomic landscape of HIV-infected cells II

Project description:Characterization of the epitranscriptomic landscape of HIV-infected cells II

| PRJNA660417 | ENA

Characterization of the epitranscriptomic landscape of HIV-infected cells III

Project description:Characterization of the epitranscriptomic landscape of HIV-infected cells III

| PRJNA660418 | ENA

Characterization of the epitranscriptomic landscape of HIV-infected cells IV

Project description:Characterization of the epitranscriptomic landscape of HIV-infected cells IV

| PRJNA660419 | ENA

Characterization of the epitranscriptomic landscape of HIV-infected cells IV

Project description:In this study, we used a productive HIV infection model, consisting of the CD4+ SupT1 T cell line infected with a VSV-G pseudotyped HIVeGFP-based vector, to explore the transcriptomic and m6A/m5C epitranscriptomic lansdcape upon HIV infection, and compare it to mock-treated cells at 12h, 24h, and 36h post infection.

2021-06-30 | GSE157192 | GEO

Characterization of the epitranscriptomic landscape of HIV-infected cells III

2021-06-30 | GSE157190 | GEO

Characterization of the epitranscriptomic landscape of HIV-infected cells II

2021-06-30 | GSE157189 | GEO

Characterization of the epitranscriptomic landscape of HIV-infected cells I

2021-06-30 | GSE157187 | GEO

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

Characterization of the epitranscriptomic landscape of HIV-infected cells

Project description:This SuperSeries is composed of the SubSeries listed below.

2021-06-30 | GSE157193 | GEO