Identification of transcriptional regulatory network associated with response of host epithelial cells to SARS-CoV-2

C Su, S Rousseau, A Emad - Scientific Reports, 2021 - nature.com
Identification of transcriptional regulatory mechanisms and signaling networks involved in
the response of host cells to infection by SARS-CoV-2 is a powerful approach that provides …

Dynamic changes in gene-to-gene regulatory networks in response to SARS-CoV-2 infection

Y Tanaka, K Higashihara, MA Nakazawa… - Scientific Reports, 2021 - nature.com
The current pandemic of SARS-CoV-2 has caused extensive damage to society. The
characterization of SARS-CoV-2 profiles has been addressed by researchers globally with …

Molecular signatures in the progression of COVID-19 severity

R De, RK Azad - Scientific Reports, 2022 - nature.com
SARS-CoV-2 is the causative agent of COVID-19 that has infected over 642 million and
killed over 6.6 million people around the globe. Underlying a wide range of clinical …

Gene expression profiling of SARS-CoV-2 infections reveal distinct primary lung cell and systemic immune infection responses that identify pathways relevant in …

MA Moni, JMW Quinn, N Sinmaz… - Briefings in …, 2021 - academic.oup.com
To identify key gene expression pathways altered with infection of the novel coronavirus
SARS-CoV-2, we performed the largest comparative genomic and transcriptomic analysis to …

Identification of transcription factors regulating SARS-CoV-2 tropism factor expression by inferring cell-type-specific transcriptional regulatory networks in human lungs

H Tong, H Chen, CM Williams - Viruses, 2022 - mdpi.com
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the virus that caused the
coronavirus disease 2019 (COVID-19) pandemic. Though previous studies have suggested …

Multiscale network analysis identifies potential receptors for SARS‐CoV‐2 and reveals their tissue‐specific and age‐dependent expression

CV Forst, L Zeng, Q Wang, X Zhou, S Vatansever… - Febs …, 2023 - Wiley Online Library
The coronavirus disease 2019 (COVID‐19) pandemic has affected tens of millions of
individuals and caused hundreds of thousands of deaths worldwide. Here, we present a …

Investigating cellular trajectories in the severity of COVID-19 and their transcriptional programs using machine learning approaches

HH Jeong, J Jia, Y Dai, LM Simon, Z Zhao - Genes, 2021 - mdpi.com
Single-cell RNA sequencing of the bronchoalveolar lavage fluid (BALF) samples from
COVID-19 patients has enabled us to examine gene expression changes of human tissue in …

Transcriptomics-inferred dynamics of SARS-CoV-2 interactions with host epithelial cells

L Adam, M Stanifer, F Springer, J Mathony, M Brune… - Science …, 2023 - science.org
Virus-host interactions can reveal potentially effective and selective therapeutic targets for
treating infection. Here, we performed an integrated analysis of the dynamics of virus …

[HTML][HTML] Secondary analysis of transcriptomes of SARS-CoV-2 infection models to characterize COVID-19

S Ghandikota, M Sharma, AG Jegga - Patterns, 2021 - cell.com
Standard transcriptomic analyses alone have limited power in capturing the molecular
mechanisms driving disease pathophysiology and outcomes. To overcome this …

Transcriptional Profiling of SARS-CoV-2-Infected Calu-3 Cells Reveals Immune-Related Signaling Pathways

EPV Pereira, SM da Silva Felipe, RM de Freitas… - Pathogens, 2023 - mdpi.com
The COVID-19 disease, caused by the Severe Acute Respiratory Syndrome Coronavirus 2
(SARS-CoV-2), emerged in late 2019 and rapidly spread worldwide, becoming a pandemic …