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利用 NanoString 技术探索感染肺类器官中的宿主反应:基因表达数据的统计分析。

Exploring the host response in infected lung organoids using NanoString technology: A statistical analysis of gene expression data.

机构信息

Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC, United States of America.

Wake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, United States of America.

出版信息

PLoS One. 2024 Nov 26;19(11):e0308849. doi: 10.1371/journal.pone.0308849. eCollection 2024.

Abstract

In this study, we used a three-dimensional airway "organ tissue equivalent" (OTE) model at an air-liquid interface (ALI) to mimic human airways. We investigated the effects of three viruses (Influenza A virus (IAV), Human metapneumovirus (MPV), and Parainfluenza virus type 3 (PIV3) on this model, incorporating various control conditions for data integrity. Our primary objective was to assess gene expression using the NanoString platform in OTE models infected with these viruses at 24- and 72-hour intervals, focusing on 773 specific genes. To enhance the comprehensiveness of our analysis, we introduced a novel algorithm, namely MAS (Magnitude-Altitude Score). This innovative approach uniquely combines biological significance, as indicated by fold changes in gene expression, with statistical rigor, as represented by adjusted p-values. By incorporating both dimensions, MAS ensures that the genes identified as differentially expressed are not mere statistical artifacts but hold genuine biological relevance, providing a more holistic understanding of the airway tissue response to viral infections. Our results unveiled distinct patterns of gene expression in response to viral infections. At 24 hours post-IAV infection, a robust interferon-stimulated gene (ISG) response was evident, marked by the upregulation of key genes including IFIT2, RSAD2, IFIT3, IFNL1, IFIT1, IFNB1, ISG15, OAS2, OASL, and MX1, collectively highlighting a formidable antiviral defense. MPV infection at the same time point displayed a dual innate and adaptive immune response, with highly expressed ISGs, immune cell recruitment signaled by CXCL10, and early adaptive immune engagement indicated by TXK and CD79A. In contrast, PIV3 infection at 24 hours triggered a transcriptional response dominated by ISGs, active immune cell recruitment through CXCL10, and inflammation modulation through OSM. The picture evolved at 72 hours post-infection. For IAV, ISGs and immune responses persisted, suggesting a sustained impact. MPV infection at this time point showed a shift towards IL17A and genes related to cellular signaling and immune responses, indicating adaptation to the viral challenge over time. In the case of PIV3, the transcriptional response remained interferon-centric, indicating a mature antiviral state. Our analysis underscored the pivotal role of ISGs across all infections and time points, emphasizing their universal significance in antiviral defense. Temporal shifts in gene expression indicative of adaptation and fine-tuning of the immune response. Additionally, the identification of shared and unique genes unveiled host-specific responses to specific pathogens. IAV exerted a sustained impact on genes from the initial 24 hours, while PIV3 displayed a delayed yet substantial genomic response, suggestive of a gradual and nuanced strategy.

摘要

在这项研究中,我们使用了一个位于气液界面(ALI)的三维气道“器官组织等效物”(OTE)模型来模拟人类气道。我们研究了三种病毒(甲型流感病毒(IAV)、人类偏肺病毒(MPV)和副流感病毒 3 型(PIV3))对该模型的影响,并纳入了各种数据完整性对照条件。我们的主要目标是使用 NanoString 平台评估感染这些病毒的 OTE 模型在 24 小时和 72 小时间隔时的基因表达情况,重点关注 773 个特定基因。为了增强我们分析的全面性,我们引入了一种新的算法,即 MAS(幅度-高度评分)。这种创新方法独特地结合了基因表达的折叠变化所指示的生物学意义,以及调整后的 p 值所代表的统计严谨性。通过结合这两个维度,MAS 确保了被鉴定为差异表达的基因不仅是纯粹的统计假象,而是具有真正的生物学相关性,从而更全面地了解气道组织对病毒感染的反应。

我们的结果揭示了病毒感染后基因表达的不同模式。在 IAV 感染后 24 小时,出现了强烈的干扰素刺激基因(ISG)反应,关键基因如 IFIT2、RSAD2、IFIT3、IFNL1、IFIT1、IFNB1、ISG15、OAS2、OASL 和 MX1 的上调表明了强大的抗病毒防御能力。同时,MPV 感染在同一时间点显示出先天和适应性免疫的双重反应,高度表达的 ISGs、通过 CXCL10 信号传递的免疫细胞募集以及早期适应性免疫参与的 TXK 和 CD79A。相比之下,PIV3 在 24 小时感染时引发了一个以 ISGs 为主导的转录反应,通过 CXCL10 积极募集免疫细胞,并通过 OSM 调节炎症。在感染后 72 小时,情况发生了变化。对于 IAV,ISGs 和免疫反应持续存在,表明持续受到影响。在此时点,MPV 感染显示出向 IL17A 和与细胞信号转导和免疫反应相关的基因的转变,表明随着时间的推移对病毒挑战的适应性。对于 PIV3,转录反应仍然以干扰素为中心,表明已经进入成熟的抗病毒状态。

我们的分析强调了所有感染和时间点的 ISGs 的关键作用,突出了它们在抗病毒防御中的普遍意义。基因表达的时间变化表明了适应和免疫反应的精细调节。此外,共享和独特基因的鉴定揭示了宿主对特定病原体的特异性反应。IAV 在最初的 24 小时内对基因产生持续影响,而 PIV3 则表现出延迟但显著的基因组反应,提示其具有逐渐而微妙的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db0d/11594423/cf0fba0aa8f9/pone.0308849.g001.jpg

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