An Integrative Analysis Identifying Transcriptional Features and key Genes Involved in COVID-19 | Zendy

Guoping Li | Zendy; Junyi Wang | Zendy; Xiang He | Zendy; Lei Zhang | Zendy; Ran Qin | Zendy; Anying Xiong | Zendy; Dehong Wu | Zendy; Lingjuan Hu | Zendy; Qi Song | Zendy; Dong Mei Zhu | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

An Integrative Analysis Identifying Transcriptional Features and key Genes Involved in COVID-19

Author(s) -

Guoping Li,

Junyi Wang,

Xiang He,

Lei Zhang,

Ran Qin,

Anying Xiong,

Dehong Wu,

Lingjuan Hu,

Qi Song,

Dong Mei Zhu

Publication year - 2020

Publication title -

epigenomics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.265

H-Index - 60

eISSN - 1750-1911

pISSN - 1750-192X

DOI - 10.2217/epi-2020-0168

Subject(s) - biology , covid-19 , key (lock) , computational biology , gene , genetics , virology , disease , ecology , medicine , pathology , outbreak , infectious disease (medical specialty)

Aim: To elucidate the transcriptional characteristics of COVID-19. Materials & methods: We utilized an integrative approach to comprehensively analyze the transcriptional features of both COVID-19 patients and SARS-CoV-2 infected cells. Results: Widespread infiltration of immune cells was observed. We identified 233 genes that were codifferentially expressed in both bronchoalveolar lavage fluid and lung samples of COVID-19 patients. Functional analysis suggested upregulated genes were related to immune response such as neutrophil activation and antivirus response, while downregulated genes were associated with cell adhesion. Finally, we identified LCN2 , STAT1 and UBE2L6 as core genes during SARS-CoV-2 infection. Conclusion: The identification of core genes involved in COVID-19 can provide us with more insights into the molecular features of COVID-19.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research