E-MTAB-1690

NIAID Data Ecosystem2026-05-02 收录

呼吸道转录组学

吸烟相关疾病分子机制

数据链接：

https://www.omicsdi.org/dataset/atlas-experiments/E-MTAB-1690 数据链接链接失效反馈

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资源简介：

Transcription profling by array of respiratory tract samples from smokers and non-smokers with/without cancers (of lung or Head and Neck) and with/without chronic obstructive pulmonary disorder (COPD)

创建时间：

2025-01-23

Host transcriptional responses to SARS-CoV-2 infection in a human nose organoid model

宿主-病毒互作

呼吸道转录组学

As a means to identify host transcriptional responses to SARS-CoV-2 infection, we generated RNA-seq data on the human nose organoid model HNO2043. We sampled HNO204 cells infected with SARS-CoV-2 and

NIAID Data Ecosystem70

Transcriptomic analysis of of SNX-5422-treated human primary tracheobronchial epithelial (TBE) cells.. Transcriptomic analysis of of SNX-5422-treated human primary tracheobronchial epithelial (TBE) cells.

抗病毒药物机制

呼吸道转录组学

Purpose: In addition to developing antivirals targeting specific SARS-CoV-2 viral proteins, there has been a growing effort in developing therapeutics targeting host proteins exploited by SARS-CoV-2 f

NIAID Data Ecosystem40

Time course of NHBE cells exposed to whole cigarette smoke. Homo sapiens

烟雾暴露

呼吸道转录组学

Gene expression patterns were assessed in normal human bronchial epithelial (NHBE) cells exposed to cigarette smoke from a reference cigarette (2R4F, University of Kentucky) and a typical American bra

NIAID Data Ecosystem30

Type I interferon response in human HTBE and A549 cells. Type I interferon response in human HTBE and A549 cells

干扰素反应

呼吸道转录组学

RNA-seq was used to profile gene expression changes in human tracheobronchial epithelial (HTBE) and A549 cells following type I interferon treatment. Overall design: Transcriptomic comparison of type

NIAID Data Ecosystem60

Cigarette Smoking-Associated Isoform Switching and 3’ UTR Lengthening Via Alternative Polyadenylation

转录组学

吸烟相关疾病分子机制

Cigarette smoking accounts for approximately one in five deaths in the United States. Previous genomic studies have primarily focused on gene level differential expression to identify related molecula

NIAID Data Ecosystem40

E-MTAB-1690

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