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在病毒增殖试验中使用超深度测序和引物ID对潜伏性HIV-1病毒库进行定量分析。

Quantification of the Latent HIV-1 Reservoir Using Ultra Deep Sequencing and Primer ID in a Viral Outgrowth Assay.

作者信息

Lee Sook-Kyung, Zhou Shuntai, Baldoni Pedro L, Spielvogel Ean, Archin Nancie M, Hudgens Michael G, Margolis David M, Swanstrom Ronald

机构信息

*Department of Biochemistry and Biophysics, UNC Center for AIDS Research, University of North Carolina at Chapel Hill, Chapel Hill, NC; †Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC; and Departments of ‡Medicine; §Microbiology and Immunology, UNC HIV Cure Center, University of North Carolina at Chapel Hill, Chapel Hill, NC.

出版信息

J Acquir Immune Defic Syndr. 2017 Feb 1;74(2):221-228. doi: 10.1097/QAI.0000000000001187.

Abstract

BACKGROUND

In this study, we measured the latent HIV-1 reservoir harboring replication-competent HIV-1 in resting CD4 T cells in participants on highly active antiretroviral therapy, quantitating the frequency of latent infection through the use of a Primer ID-based Ultra Deep Sequencing Assay (UDSA), in comparison to the readout of the quantitative viral outgrowth assay (QVOA).

METHODS

Viral RNA derived from culture wells of QVOA that scored as HIV-1 p24 capsid antigen positive were tagged with a specific barcode during cDNA synthesis, and the sequences within the V1-V3 region of the HIV-1 env gene were analyzed for diversity using the Primer ID-based paired-end MiSeq platform. We analyzed samples from a total of 19 participants, 2 initially treated with highly active antiretroviral therapy in acute infection and 17 treated during chronic infection. Phylogenetic trees were generated with all viral lineages detected from culture wells derived from each participant to determine the number of distinct viral lineages growing out in each well, thus capturing another level of information beyond the well being positive for viral antigen. The infectious units per million (IUPM) cell values estimated using a maximum likelihood approach, based on the number of distinct viral lineages detected (VOA-UDSA), were compared with those obtained from QVOA measured using limiting dilution.

RESULTS

IUPM estimates determined by VOA-UDSA ranged from 0.14 to 3.66 and strongly correlated with the IUPM estimates determined by QVOA (r = 0.94; P < 0.0001).

CONCLUSIONS

VOA-UDSA may be an alternative readout for that currently used for QVOA.

摘要

背景

在本研究中,我们对接受高效抗逆转录病毒治疗的参与者静息CD4 T细胞中携带具有复制能力的HIV-1的潜伏HIV-1储存库进行了测量,通过使用基于引物ID的超深度测序分析(UDSA)对潜伏感染频率进行定量,并与定量病毒增殖分析(QVOA)的结果进行比较。

方法

从QVOA培养孔中获得的、被判定为HIV-1 p24衣壳抗原阳性的病毒RNA在cDNA合成过程中用特定条形码进行标记,并使用基于引物ID的双端MiSeq平台分析HIV-1 env基因V1-V3区域内的序列多样性。我们分析了总共19名参与者的样本,其中2名在急性感染期开始接受高效抗逆转录病毒治疗,17名在慢性感染期接受治疗。利用从每个参与者的培养孔中检测到的所有病毒谱系生成系统发育树,以确定每个孔中生长出的不同病毒谱系的数量,从而获取除病毒抗原阳性孔之外的另一层次信息。基于检测到的不同病毒谱系数量(VOA-UDSA),使用最大似然法估计的每百万细胞感染单位(IUPM)值与通过有限稀释法测量的QVOA获得的值进行比较。

结果

VOA-UDSA确定的IUPM估计值范围为0.14至3.66,与QVOA确定的IUPM估计值高度相关(r = 0.94;P < 0.0001)。

结论

VOA-UDSA可能是目前用于QVOA的一种替代检测方法。

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本文引用的文献

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