Article

A path-based analysis of infected cell line and COVID-19 patient transcriptome reveals novel potential targets and drugs against SARS-CoV-2

2022-03-21

Abstract excerpt

<title>Abstract</title> <p>Most transcriptomic studies of SARS-CoV-2 infection have focused on differentially expressedgenes, which do not necessarily reveal the genes mediating the transcriptomic changes. In contrast,exploiting curated biological network, our PathExt tool identifies central genes from thedifferentially active paths mediating global transcriptomic response. Here we apply PathExt tomultiple cell l...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b0f0566e-fb45-5f20-b859-77624f680630
DOI: 10.21203/rs.3.rs-1474136/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A path-based analysis of infected cell line and COVID-19 patient transcriptome reveals novel potential targets and drugs against SARS-CoV-2DOI 10.21203/rs.3.rs-1474136/v1Read

Systems Biology and Bioinformatics approach to Identify blood based signatures molecules and drug targets of patient with COVID-19Semantic proximity Read

Secondary analysis of transcriptomes of SARS-CoV-2 infection models to characterize COVID-19Semantic proximity Read

A Connectivity Map-Based Drug Repurposing Study and Integrative Analysis of Transcriptomic Profiling of SARS-CoV-2 InfectionSemantic proximity Read

Transcriptome and SARS-CoV-2 biological network directed analysis for better therapeutic developmentSemantic proximity Read

Deciphering Novel SARS CoV-2 specific Disease Pathways from RNA Sequencing Data of COVID-19 Infected A549 Cells and Potential Therapeutics using Next Generation Knowledge Discovery PlatformsSemantic proximity Read

Identification and evaluation of candidate COVID-19 critical genes and medicinal drugs related to plasma cellsSemantic proximity Read

Identifying potential novel insights for COVID-19 pathogenesis and therapeutics using an integrated bioinformatics analysis of host transcriptomeSemantic proximity Read

Transcriptomic Analysis of the Peripheral Immune Cell of SARS-CoV-2 Infected Patients for Bridging the Genotype-Phenotype Gap and Drug Prediction: A Precision Medicine ApproachSemantic proximity Read

Bioinformatics analysis of single-cell mRNA-seq of SARS-CoV-1 and SARS-CoV-2 infection compared to MERS-CoV from Sequence Read Archive (SRA) database reveals novel targets for therapiesSemantic proximity Read

Expression profile analysis of COVID-19 patientsSemantic proximity Read

Identification of potential biomarkers and inhibitors for SARS-CoV-2 infectionSemantic proximity Read

Functional characterization of SARS-CoV-2 infection suggests a complex inflammatory response and metabolic alterationsSemantic proximity Read