Transcriptomics

Dataset Information

0

Control samples for study "hiv-seq reveals global host gene expression differences between hiv-transcribing cells from viremic and suppressed people with hiv"


ABSTRACT: In our study, we aimed to improve the identification of active reservoir cells producing HIV in individuals undergoing antiretroviral therapy (ART). We developed a technique called HIV-Seq to enhance the efficiency of capturing HIV transcripts during single-cell RNA sequencing (scRNAseq) analysis. By applying this technique, we compared the transcriptional features of HIV RNA+ cells before and after ART initiation. Our findings highlight distinct transcriptional signatures of active reservoir cells during viremia and suppression, demonstrating the utility of HIV-Seq in elucidating the mechanisms underlying reservoir persistence during ART.

ORGANISM(S): Homo sapiens

PROVIDER: GSE305352 | GEO | 2025/12/10

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2025-12-10 | GSE266455 | GEO
2022-10-21 | GSE199727 | GEO
2023-10-09 | GSE244867 | GEO
| S-EPMC11702770 | biostudies-literature
2023-09-13 | GSE224546 | GEO
2023-08-30 | GSE203603 | GEO
2023-08-08 | GSE199946 | GEO
2023-04-27 | GSE198525 | GEO
2025-01-29 | GSE256089 | GEO
2020-01-08 | GSE137438 | GEO