Analyzing single cell transcriptome data from severe COVID-19 patients

We describe the protocol for identifying COVID-19 severity specific cell types and their regulatory marker genes using single-cell transcriptomics data. We construct COVID-19 comorbid disease-associated gene list using multiple databases and literature resources. Next, we identify specific cell type...

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Detalles Bibliográficos
Autores principales: Nassir, Nasna, Tambi, Richa, Bankapur, Asma, Karuvantevida, Noushad, Khansaheb, Hamdah Hassan, Zehra, Binte, Begum, Ghausia, Hameid, Reem Abdel, Ahmed, Awab, Deesi, Zulfa, Alkhajeh, Abdulmajeed, Uddin, K.M.Furkan, Akter, Hosneara, Safizadeh Shabestari, Seyed Ali, Gaudet, Mellissa, Hachim, Mahmood Yaseen, Alsheikh-Ali, Alawi, Berdiev, Bakhrom K., Al Heialy, Saba, Uddin, Mohammed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021126/
https://www.ncbi.nlm.nih.gov/pubmed/35582459
http://dx.doi.org/10.1016/j.xpro.2022.101379

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021126/
https://www.ncbi.nlm.nih.gov/pubmed/35582459
http://dx.doi.org/10.1016/j.xpro.2022.101379

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