Single cell spatial profiling of FFPE splenic tissue from a humanized mouse model of HIV infection.

IF 9.5 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Guoxin Wu, Samuel H Keller, Luca Sardo, Brian Magliaro, Paul Zuck, Carl J Balibar, Claire Williams, Liuliu Pan, Mark Gregory, Kathy Ton, Jill Maxwell, Carol Cheney, Tom Rush, Bonnie J Howell
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Abstract

Background: Latency remains a major obstacle to finding a cure for HIV despite the availability of antiretroviral therapy. Due to virus dormancy, limited biomarkers are available to identify latent HIV-infected cells. Profiling of individual HIV-infected cells is needed to explore potential latency biomarkers and to study the mechanisms of persistence that maintain the HIV reservoir.

Methods: Single cell spatial transcriptomic characterization using the CosMx Spatial Molecular Imager platform was conducted to analyze HIV-infected cells in formalin-fixed paraffin-embedded sections of splenic tissue surgically obtained from an HIV-infected humanized mouse model. Regulation of over a thousand human genes was quantified in both viremic and aviremic specimens. In addition, in situ hybridization and immunohistochemistry were performed in parallel to identify HIV viral RNA- and p24-containing cells, respectively. Finally, initial findings from CosMx gene profiling were confirmed by isolating RNA from CD4 + T cells obtained from a person living with HIV on antiretroviral therapy following either PMA/Ionomycin or DMSO treatment. RNA was quantified using qPCR for a panel of targeted human host genes.

Results: Supervised cell typing revealed that most of the HIV-infected cells in the mouse spleen sections were differentiated CD4 + T cells. A significantly higher number of infected cells, 2781 (1.61%) in comparison to 112 (0.06%), and total HIV transcripts per infected cell were observed in viremic samples compared to aviremic samples, respectively, which was consistent with the data obtained from ISH and IHC. Notably, the expression of 55 genes was different in infected cells within tissue from aviremic animals compared to viremic. In particular, both spleen tyrosine kinase (SYK) and CXCL17, were expressed approximately 100-fold higher. This data was further evaluated against bulk RNA isolated from HIV-infected human primary CD4 + T cells. A nearly 6-fold higher expression of SYK mRNA was observed in DMSO-treated CD4 + T cells compared to those stimulated with PMA/Ionomycin.

Conclusion: This study found that the CosMx SMI platform is valuable for assessing HIV infection and providing insights into host biomarkers associated with HIV reservoirs. Higher relative expression of the SYK gene in aviremic-infected cells from the humanized mouse HIV model was consistent with levels found in CD4 + T cells of aviremic donors.

人源化小鼠艾滋病病毒感染模型脾脏组织的 FFPE 单细胞空间图谱分析。
背景:尽管已经有了抗逆转录病毒疗法,但潜伏期仍然是找到治愈艾滋病毒的主要障碍。由于病毒处于休眠状态,可用于识别潜伏 HIV 感染细胞的生物标志物非常有限。需要对单个 HIV 感染细胞进行分析,以探索潜在的潜伏生物标志物,并研究维持 HIV 储存库的持续机制:方法:利用 CosMx 空间分子成像仪平台进行了单细胞空间转录组特征分析,分析了从感染 HIV 的人源化小鼠模型中手术获取的脾脏组织福尔马林固定石蜡包埋切片中的 HIV 感染细胞。在病毒血症和艾滋病标本中,对一千多个人类基因的调控进行了量化。此外,还同时进行了原位杂交和免疫组化,以分别鉴定含有 HIV 病毒 RNA 和 p24 的细胞。最后,通过从一名接受抗逆转录病毒治疗的艾滋病病毒感染者体内获得的 CD4 + T 细胞中分离出 RNA,并经过 PMA/Ionomycin 或 DMSO 处理,证实了 CosMx 基因分析的初步发现。使用 qPCR 对一组目标人类宿主基因进行 RNA 定量:结果:监督细胞分型结果显示,小鼠脾脏切片中大部分受 HIV 感染的细胞是分化的 CD4 + T 细胞。与无病毒样本相比,在病毒血症样本中观察到的感染细胞数量(2781 个(1.61%))和每个感染细胞的 HIV 总转录本数量(112 个(0.06%))均明显高于无病毒样本,这与 ISH 和 IHC 获得的数据一致。值得注意的是,与病毒血症动物相比,55 个基因在病毒血症动物组织内感染细胞中的表达有所不同。其中,脾脏酪氨酸激酶(SYK)和 CXCL17 的表达量高出约 100 倍。针对从感染艾滋病毒的人类原代 CD4 + T 细胞中分离出的大量 RNA,对这一数据进行了进一步评估。经 DMSO 处理的 CD4 + T 细胞中 SYK mRNA 的表达量比经 PMA/Ionomycin 刺激的细胞高出近 6 倍:本研究发现,CosMx SMI 平台对评估 HIV 感染和深入了解与 HIV 储库相关的宿主生物标记物很有价值。在人源化小鼠艾滋病病毒感染模型的艾滋病病毒感染细胞中,SYK基因的相对表达量较高,这与在艾滋病病毒感染者的CD4 + T细胞中发现的水平一致。
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来源期刊
Biomarker Research
Biomarker Research Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
15.80
自引率
1.80%
发文量
80
审稿时长
10 weeks
期刊介绍: Biomarker Research, an open-access, peer-reviewed journal, covers all aspects of biomarker investigation. It seeks to publish original discoveries, novel concepts, commentaries, and reviews across various biomedical disciplines. The field of biomarker research has progressed significantly with the rise of personalized medicine and individual health. Biomarkers play a crucial role in drug discovery and development, as well as in disease diagnosis, treatment, prognosis, and prevention, particularly in the genome era.
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