Flow Cytometric Quantification of HIV-1-Infected Cells Expressing Either Abortive or Elongated HIV-1 Transcripts Using Flow-FISH.

利用流式FISH技术对表达不完全或延长型HIV-1转录本的HIV-1感染细胞进行流式细胞术定量分析

阅读:5
作者:Man Shirley, Geijtenbeek Teunis B H, Kootstra Neeltje A
The persistence of the HIV-1 reservoir remains the ultimate obstacle in achieving a cure. Cure strategies targeting the HIV-1 reservoir are under development, and therefore, finding ways to improve the detection of the reservoir is crucial. Several reservoir detection techniques exist to assess different markers of the HIV-1 reservoir, such as PCR-based assays and protein-based flow cytometric methods. We developed a flow cytometry-fluorescent in situ hybridization (flow-FISH) approach that assesses HIV-1 at the transcriptional level. Using a combination of probes that target either the HIV-1 trans-activation response (TAR) region and 5' long terminal repeat (LTR) or the Gag sequence, our assay distinguishes between infected cells expressing abortive or elongated HIV-1 RNAs. This assay utilizes the branched-DNA method to amplify the fluorescent signal of the hybridized RNA probes and can be used directly for thawed or cultured cells, with the option to include surface antibody staining. Cellular expression of abortive and/or Gag HIV-1 RNAs is measured by flow cytometry. Our flow-FISH approach gives insight into the transcriptional dynamics of the HIV-1 reservoir and allows for the characterization of latently infected cells. Key features • Detection of latently HIV-1-infected cells identified by the expression of abortive HIV-1 TAR transcripts. • Cell activation is not required for HIV-1 detection; therefore, the cellular phenotypic landscape remains preserved. • Can be used for direct ex vivo measurements in isolated cells, such as PBMCs, from untreated and antiretroviral therapy (ART)-treated people with HIV-1 (PWH).

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。