PRJNA741686: Baseline signatures associated with clinical, virologic, and immunologic outcomes in patients with mild to moderate COVID-19
概要: The vast majority of SARS-CoV-2 infections are uncomplicated and do not require hospitalization, but these infections contribute to ongoing transmission. There remains a critical need to identify host immune biomarkers predictive of virologic and clinical outcomes in planning future treatment studies of COVID-19. We recently completed a randomized clinical trial of Pegylated PegIinterferon Lambda for treatment of SARS-CoV-2 infected patients conducted in the Stanford COVID-19 CTRU. Leveraging longitudinal samples and data from this trial, we define early immunebaseline and infection-induced signatures that predict the duration of viral shedding, resolution of symptoms, and immunologic memory.
项目整体设计: We recruited 108 subjects between age 18 to 75 who are PCR positive for SARS-CoV-2. The subjects were randomized to receive a single dose of Peginterferon Lambda or placebo at their first visit (day 0). In-person follow-up visits were conducted on Day 1, 3, 5, 7, 10, 14, 21, and 28, with the assessment of symptoms and vitals and collection of oropharyngeal swabs for SARS-CoV-2 testing. To profile the immune response in the COVID-19 patients, we conducted RNA-sequencing assays using blood samples collected at day 0 and day 5 after enrollment.
| 生长方案: |
- |
| 处理方案: |
- |
| 提取方案: |
First the samples were treated with Proteinase K, and then some extractions were performed using Quick-RNA MagBead Kit (R2132) on KingFisher. |
| 建库方案: |
Libraries were prepared using ZymoSeq RiboFree Total RNA Library Kit (R3000). |
| 分子类型: |
rRNA- RNA |
| 库的片段类型: |
PAIRED |
| 库的链类型: |
Forward; - |
| 测序平台: |
ILLUMINA |
| 测序仪型号: |
Illumina NovaSeq 6000 |
| 链特异性: |
Specific; Unspecific |
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种族 |
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Condition Detail |
生长方案 |
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分子类型 |
库的片段类型 |
链特异性 |
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加标（Spike-In） |
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平均测序片段长度_1 |
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唯一比对率 |
多重比对率 |
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Early immune responses have long-term associations with clinical, virologic, and immunologic outcomes in patients with COVID-19.
Research square . 2022-02-02 [PMID:
35132407]
