Cargando…
Network Analysis and Transcriptome Profiling Identify Autophagic and Mitochondrial Dysfunctions in SARS-CoV-2 Infection
Analyzing host transcriptional changes in response to SARS-CoV-2 infection will help delineate biological processes underlying viral pathogenesis. Comparison of expression profiles of lung cell lines A549 (infected with either SARS-CoV-2 (with ACE2 expression)) or Influenza A virus (IAV)) and Calu3...
Autores principales: | Singh, Komudi, Chen, Yun-Ching, Judy, Jennifer T, Seifuddin, Fayaz, Tunc, Ilker, Pirooznia, Mehdi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241104/ https://www.ncbi.nlm.nih.gov/pubmed/32511341 http://dx.doi.org/10.1101/2020.05.13.092536 |
Ejemplares similares
-
Network Analysis and Transcriptome Profiling Identify Autophagic and Mitochondrial Dysfunctions in SARS-CoV-2 Infection
por: Singh, Komudi, et al.
Publicado: (2021) -
Misregulation of ELK1, AP1, and E12 Transcription Factor Networks Is Associated with Melanoma Progression
por: Singh, Komudi, et al.
Publicado: (2020) -
IKAP—Identifying K mAjor cell Population groups in single-cell RNA-sequencing analysis
por: Chen, Yun-Ching, et al.
Publicado: (2019) -
lncRNAKB, a knowledgebase of tissue-specific functional annotation and trait association of long noncoding RNA
por: Seifuddin, Fayaz, et al.
Publicado: (2020) -
Cell-free DNA maps COVID-19 tissue injury and risk of death and can cause tissue injury
por: Andargie, Temesgen E., et al.
Publicado: (2021)