PLX225481

GSE103763: Genome-wide analysis of herpes simplex virus type 1 (HSV-1) infected cells

  • Organsim human
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

The goal of this study was to compare the whole transcriptional profile (RNA-seq) of herpes simplex virus type 1 (HSV-1) infected and mock infected human fibroblast KMB17 strain at 48 hours post infection.There is increasing evidence that circular RNAs (circRNAs) are involved in diverse pathogenesis processes; however, their roles in virus infection remain unclear. Here, we profiled global changes of circRNAs, genes and microRNA (miRNAs) under herpes simplex virus type 1 (HSV-1) infection by RNA-seq. Numerous dysregulated transcripts comprised of 536 circRNAs, 3,885 genes and 207 miRNAs were found during viral infection. The dysregulated genes were enriched to NOD-like receptor signaling pathway, Jak-STAT signaling pathway and pathways of apoptosis, cell cycle progression and cell death, all of which may be implicated in viral pathogenesis and cellular immunity. Further integration analysis of circRNAs, genes and miRNAs reveals putative involvement of circRNAs in viral pathogenesis and antiviral immunity by circRNA-miRNA-gene regulatory axis. This work provides a comprehensive view for dysregulated circRNAs induced by HSV-1 and their interplay with miRNAs and genes, thus offering new insights into the mechanisms of interactions between HSV-1 and its host. SOURCE: Jiandong Shi (dongdong9286@yeah.net) - Institute of Medical Biology

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team